mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study
IntroductionDepression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separ...
Saved in:
| Published in | BMJ open Vol. 10; no. 8; p. e034723 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
British Medical Journal Publishing Group
20.08.2020
BMJ Publishing Group LTD BMJ Publishing Group |
| Series | Protocol |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2044-6055 2044-6055 |
| DOI | 10.1136/bmjopen-2019-034723 |
Cover
Loading…
| Abstract | IntroductionDepression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separately. Increasing physical activity might be effective to simultaneously lower depressive symptoms and improve glycaemic control. Self-management apps are a cost-effective, scalable and easy access treatment to increase physical activity. However, cutting-edge technological applications often do not reach vulnerable populations and are not tailored to an individual’s behaviour and characteristics. Tailoring of interventions using machine learning methods likely increases the effectiveness of the intervention.Methods and analysisIn a three-arm randomised controlled trial, we will examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. The adaptive intervention group receives messages chosen from different messaging banks by a reinforcement learning algorithm. The uniform random intervention group receives the same messages, but chosen from the messaging banks with equal probabilities. The control group receives a weekly mood message. We aim to recruit 276 adults from primary care clinics aged 18–75 years who have been diagnosed with current diabetes and show elevated depressive symptoms (Patient Health Questionnaire depression scale-8 (PHQ-8) >5). We will compare passively collected daily step counts, self-report PHQ-8 and most recent haemoglobin A1c from medical records at baseline and at intervention completion at 6-month follow-up.Ethics and disseminationThe Institutional Review Board at the University of California San Francisco approved this study (IRB: 17-22608). We plan to submit manuscripts describing our user-designed methods and testing of the adaptive learning algorithm and will submit the results of the trial for publication in peer-reviewed journals and presentations at (inter)-national scientific meetings.Trial registration numberNCT03490253; pre-results. |
|---|---|
| AbstractList | Depression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separately. Increasing physical activity might be effective to simultaneously lower depressive symptoms and improve glycaemic control. Self-management apps are a cost-effective, scalable and easy access treatment to increase physical activity. However, cutting-edge technological applications often do not reach vulnerable populations and are not tailored to an individual's behaviour and characteristics. Tailoring of interventions using machine learning methods likely increases the effectiveness of the intervention.INTRODUCTIONDepression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separately. Increasing physical activity might be effective to simultaneously lower depressive symptoms and improve glycaemic control. Self-management apps are a cost-effective, scalable and easy access treatment to increase physical activity. However, cutting-edge technological applications often do not reach vulnerable populations and are not tailored to an individual's behaviour and characteristics. Tailoring of interventions using machine learning methods likely increases the effectiveness of the intervention.In a three-arm randomised controlled trial, we will examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. The adaptive intervention group receives messages chosen from different messaging banks by a reinforcement learning algorithm. The uniform random intervention group receives the same messages, but chosen from the messaging banks with equal probabilities. The control group receives a weekly mood message. We aim to recruit 276 adults from primary care clinics aged 18-75 years who have been diagnosed with current diabetes and show elevated depressive symptoms (Patient Health Questionnaire depression scale-8 (PHQ-8) >5). We will compare passively collected daily step counts, self-report PHQ-8 and most recent haemoglobin A1c from medical records at baseline and at intervention completion at 6-month follow-up.METHODS AND ANALYSISIn a three-arm randomised controlled trial, we will examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. The adaptive intervention group receives messages chosen from different messaging banks by a reinforcement learning algorithm. The uniform random intervention group receives the same messages, but chosen from the messaging banks with equal probabilities. The control group receives a weekly mood message. We aim to recruit 276 adults from primary care clinics aged 18-75 years who have been diagnosed with current diabetes and show elevated depressive symptoms (Patient Health Questionnaire depression scale-8 (PHQ-8) >5). We will compare passively collected daily step counts, self-report PHQ-8 and most recent haemoglobin A1c from medical records at baseline and at intervention completion at 6-month follow-up.The Institutional Review Board at the University of California San Francisco approved this study (IRB: 17-22608). We plan to submit manuscripts describing our user-designed methods and testing of the adaptive learning algorithm and will submit the results of the trial for publication in peer-reviewed journals and presentations at (inter)-national scientific meetings.ETHICS AND DISSEMINATIONThe Institutional Review Board at the University of California San Francisco approved this study (IRB: 17-22608). We plan to submit manuscripts describing our user-designed methods and testing of the adaptive learning algorithm and will submit the results of the trial for publication in peer-reviewed journals and presentations at (inter)-national scientific meetings.NCT03490253; pre-results.TRIAL REGISTRATION NUMBERNCT03490253; pre-results. Introduction Depression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separately. Increasing physical activity might be effective to simultaneously lower depressive symptoms and improve glycaemic control. Self-management apps are a cost-effective, scalable and easy access treatment to increase physical activity. However, cutting-edge technological applications often do not reach vulnerable populations and are not tailored to an individual’s behaviour and characteristics. Tailoring of interventions using machine learning methods likely increases the effectiveness of the intervention.Methods and analysis In a three-arm randomised controlled trial, we will examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. The adaptive intervention group receives messages chosen from different messaging banks by a reinforcement learning algorithm. The uniform random intervention group receives the same messages, but chosen from the messaging banks with equal probabilities. The control group receives a weekly mood message. We aim to recruit 276 adults from primary care clinics aged 18–75 years who have been diagnosed with current diabetes and show elevated depressive symptoms (Patient Health Questionnaire depression scale-8 (PHQ-8) >5). We will compare passively collected daily step counts, self-report PHQ-8 and most recent haemoglobin A1c from medical records at baseline and at intervention completion at 6-month follow-up.Ethics and dissemination The Institutional Review Board at the University of California San Francisco approved this study (IRB: 17-22608). We plan to submit manuscripts describing our user-designed methods and testing of the adaptive learning algorithm and will submit the results of the trial for publication in peer-reviewed journals and presentations at (inter)-national scientific meetings.Trial registration number NCT03490253; pre-results. IntroductionDepression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separately. Increasing physical activity might be effective to simultaneously lower depressive symptoms and improve glycaemic control. Self-management apps are a cost-effective, scalable and easy access treatment to increase physical activity. However, cutting-edge technological applications often do not reach vulnerable populations and are not tailored to an individual’s behaviour and characteristics. Tailoring of interventions using machine learning methods likely increases the effectiveness of the intervention.Methods and analysisIn a three-arm randomised controlled trial, we will examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. The adaptive intervention group receives messages chosen from different messaging banks by a reinforcement learning algorithm. The uniform random intervention group receives the same messages, but chosen from the messaging banks with equal probabilities. The control group receives a weekly mood message. We aim to recruit 276 adults from primary care clinics aged 18–75 years who have been diagnosed with current diabetes and show elevated depressive symptoms (Patient Health Questionnaire depression scale-8 (PHQ-8) >5). We will compare passively collected daily step counts, self-report PHQ-8 and most recent haemoglobin A1c from medical records at baseline and at intervention completion at 6-month follow-up.Ethics and disseminationThe Institutional Review Board at the University of California San Francisco approved this study (IRB: 17-22608). We plan to submit manuscripts describing our user-designed methods and testing of the adaptive learning algorithm and will submit the results of the trial for publication in peer-reviewed journals and presentations at (inter)-national scientific meetings.Trial registration numberNCT03490253; pre-results. Depression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separately. Increasing physical activity might be effective to simultaneously lower depressive symptoms and improve glycaemic control. Self-management apps are a cost-effective, scalable and easy access treatment to increase physical activity. However, cutting-edge technological applications often do not reach vulnerable populations and are not tailored to an individual's behaviour and characteristics. Tailoring of interventions using machine learning methods likely increases the effectiveness of the intervention. In a three-arm randomised controlled trial, we will examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression. The adaptive intervention group receives messages chosen from different messaging banks by a reinforcement learning algorithm. The uniform random intervention group receives the same messages, but chosen from the messaging banks with equal probabilities. The control group receives a weekly mood message. We aim to recruit 276 adults from primary care clinics aged 18-75 years who have been diagnosed with current diabetes and show elevated depressive symptoms (Patient Health Questionnaire depression scale-8 (PHQ-8) >5). We will compare passively collected daily step counts, self-report PHQ-8 and most recent haemoglobin A1c from medical records at baseline and at intervention completion at 6-month follow-up. The Institutional Review Board at the University of California San Francisco approved this study (IRB: 17-22608). We plan to submit manuscripts describing our user-designed methods and testing of the adaptive learning algorithm and will submit the results of the trial for publication in peer-reviewed journals and presentations at (inter)-national scientific meetings. NCT03490253; pre-results. |
| Author | Sarkar, Urmimala Gomez-Pathak, Laura Cemballi, Anupama Miramontes, Jose Aguilera, Adrian Yom-Tov, Elad Modiri, Arghavan Aggarwal, Jai Yan, Xiaoxi Xu, Jing Hernandez-Ramos, Rosa Chakraborty, Bibhas Figueroa, Caroline A Lyles, Courtney R Jay Williams, Joseph |
| AuthorAffiliation | 6 Department of Biostatistics and Bioinformatics , Duke University , Durham , North Carolina , USA 5 Department of Statistics and Applied Probability , National University of Singapore , Singapore 1 School of Social Welfare , University of California Berkeley , Berkeley , California , USA 7 Computer Science , University of Toronto , Toronto , Ontario , Canada 2 UCSF Center for Vulnerable Populations in the Division of General Internal Medicine San Francisco , Zuckerberg San Francisco General Hospital , San Francisco , California , USA 3 Microsoft Research , Herzeliya , Israel 4 Centre for Quantitative Medicine , Duke-National University of Singapore Medical School , Singapore |
| AuthorAffiliation_xml | – name: 6 Department of Biostatistics and Bioinformatics , Duke University , Durham , North Carolina , USA – name: 7 Computer Science , University of Toronto , Toronto , Ontario , Canada – name: 4 Centre for Quantitative Medicine , Duke-National University of Singapore Medical School , Singapore – name: 5 Department of Statistics and Applied Probability , National University of Singapore , Singapore – name: 1 School of Social Welfare , University of California Berkeley , Berkeley , California , USA – name: 3 Microsoft Research , Herzeliya , Israel – name: 2 UCSF Center for Vulnerable Populations in the Division of General Internal Medicine San Francisco , Zuckerberg San Francisco General Hospital , San Francisco , California , USA |
| Author_xml | – sequence: 1 givenname: Adrian surname: Aguilera fullname: Aguilera, Adrian organization: UCSF Center for Vulnerable Populations in the Division of General Internal Medicine San Francisco, Zuckerberg San Francisco General Hospital, San Francisco, California, USA – sequence: 2 givenname: Caroline A orcidid: 0000-0003-0692-2244 surname: Figueroa fullname: Figueroa, Caroline A email: c.a.figueroa@berkeley.edu organization: School of Social Welfare, University of California Berkeley, Berkeley, California, USA – sequence: 3 givenname: Rosa surname: Hernandez-Ramos fullname: Hernandez-Ramos, Rosa organization: School of Social Welfare, University of California Berkeley, Berkeley, California, USA – sequence: 4 givenname: Urmimala orcidid: 0000-0003-4213-4405 surname: Sarkar fullname: Sarkar, Urmimala organization: UCSF Center for Vulnerable Populations in the Division of General Internal Medicine San Francisco, Zuckerberg San Francisco General Hospital, San Francisco, California, USA – sequence: 5 givenname: Anupama surname: Cemballi fullname: Cemballi, Anupama organization: UCSF Center for Vulnerable Populations in the Division of General Internal Medicine San Francisco, Zuckerberg San Francisco General Hospital, San Francisco, California, USA – sequence: 6 givenname: Laura surname: Gomez-Pathak fullname: Gomez-Pathak, Laura organization: School of Social Welfare, University of California Berkeley, Berkeley, California, USA – sequence: 7 givenname: Jose surname: Miramontes fullname: Miramontes, Jose organization: UCSF Center for Vulnerable Populations in the Division of General Internal Medicine San Francisco, Zuckerberg San Francisco General Hospital, San Francisco, California, USA – sequence: 8 givenname: Elad surname: Yom-Tov fullname: Yom-Tov, Elad organization: Microsoft Research, Herzeliya, Israel – sequence: 9 givenname: Bibhas surname: Chakraborty fullname: Chakraborty, Bibhas organization: Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA – sequence: 10 givenname: Xiaoxi orcidid: 0000-0003-3291-1637 surname: Yan fullname: Yan, Xiaoxi organization: Centre for Quantitative Medicine, Duke-National University of Singapore Medical School, Singapore – sequence: 11 givenname: Jing surname: Xu fullname: Xu, Jing organization: Centre for Quantitative Medicine, Duke-National University of Singapore Medical School, Singapore – sequence: 12 givenname: Arghavan surname: Modiri fullname: Modiri, Arghavan organization: Computer Science, University of Toronto, Toronto, Ontario, Canada – sequence: 13 givenname: Jai surname: Aggarwal fullname: Aggarwal, Jai organization: Computer Science, University of Toronto, Toronto, Ontario, Canada – sequence: 14 givenname: Joseph surname: Jay Williams fullname: Jay Williams, Joseph organization: Computer Science, University of Toronto, Toronto, Ontario, Canada – sequence: 15 givenname: Courtney R surname: Lyles fullname: Lyles, Courtney R organization: UCSF Center for Vulnerable Populations in the Division of General Internal Medicine San Francisco, Zuckerberg San Francisco General Hospital, San Francisco, California, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32819981$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNUl1vFCEUnZgaW2t_gYkh8aUv0zIwH-CDyaZWu0nVB-szYeDOLpsZGIFpsr_BPy374dr2QSUEyL3nHC7c8zI7ss5Clr0u8EVR0PqyHVZuBJsTXPAc07Ih9Fl2QnBZ5jWuqqMH5-PsLIQVTqOseFWRF9kxJazgnBUn2c_hBmQfl0iOI5qCsQs0SLU0FlAP0ttNIDpkrPIgA6BxuQ5GyR5JFc29ieuUQtrIFiIEJK1GGkYPIRhn3yHVG7tFR2_SOnoXnXI96pxHcQnow3z2efbl7hp9i5Nev8qed7IPcLbfT7PvH6_vrm7y26-f5lez27ytGhbzTtclb6VqS06IohQU0VrWUpfQEAkpwQmrVaukKnTVaE0aTRnTgLnCha7paTbf6WonV2L0ZpB-LZw0YhtwfiGkj0b1IJhuW9XhjmtelLiqWSO1rhumJesI1pC03u-0xqkdQCuw0cv-kejjjDVLsXD3oilLSnGVBM73At79mCBEMZigoO-lBTcFQUpaU17VhCXo2yfQlZu8TV-1RWGWJk6oNw8rOpTyu-cJQHcA5V0IHroDpMBiYy6xN5fYmEvszJVY_AlLmShjanN6lun_wb3YcVPyPy-7_EM4PPJvjF8Hevfq |
| CitedBy_id | crossref_primary_10_1093_jamia_ocab001 crossref_primary_10_1016_j_cct_2025_107879 crossref_primary_10_2196_56774 crossref_primary_10_3390_jcm11154270 crossref_primary_10_2196_34229 crossref_primary_10_3389_fdgth_2022_807886 crossref_primary_10_3389_fpubh_2022_805856 crossref_primary_10_1016_j_cmet_2024_02_002 crossref_primary_10_2196_47774 crossref_primary_10_1371_journal_pdig_0000591 crossref_primary_10_2196_41153 crossref_primary_10_1007_s10916_021_01773_0 crossref_primary_10_2196_60834 crossref_primary_10_1371_journal_pone_0296338 crossref_primary_10_2196_45409 crossref_primary_10_1177_09622802231188513 crossref_primary_10_1016_j_jpedsurg_2022_10_008 crossref_primary_10_2196_56329 crossref_primary_10_37394_23208_2022_19_24 crossref_primary_10_1007_s11135_023_01755_z crossref_primary_10_2196_21177 crossref_primary_10_2196_25299 crossref_primary_10_2337_dsi22_0006 crossref_primary_10_1080_23794925_2023_2224112 crossref_primary_10_1111_insr_12583 crossref_primary_10_2196_49443 crossref_primary_10_3389_fpubh_2021_752049 crossref_primary_10_3390_s22218255 crossref_primary_10_22399_ijcesen_757 crossref_primary_10_1186_s12889_024_18384_2 crossref_primary_10_1145_3512946 crossref_primary_10_3389_fdgth_2021_747153 crossref_primary_10_3390_a18020056 crossref_primary_10_1145_3586579 crossref_primary_10_2196_31576 crossref_primary_10_1016_j_brat_2023_104318 crossref_primary_10_1016_j_prime_2024_100661 crossref_primary_10_1186_s12939_023_01976_6 crossref_primary_10_1007_s40747_024_01346_x crossref_primary_10_1136_bmjopen_2021_052091 crossref_primary_10_1007_s10209_022_00962_z crossref_primary_10_1093_abm_kaab028 crossref_primary_10_1136_bmjhci_2021_100466 crossref_primary_10_2196_32557 crossref_primary_10_2196_46082 crossref_primary_10_1038_s41598_021_96731_8 crossref_primary_10_1038_s41746_024_01028_5 crossref_primary_10_2196_51334 crossref_primary_10_5498_wjp_v14_i2_225 crossref_primary_10_3390_ijerph19063599 crossref_primary_10_1177_1071181322661306 crossref_primary_10_1016_S2589_7500_21_00118_7 crossref_primary_10_2105_AJPH_2022_307150 crossref_primary_10_2196_45860 crossref_primary_10_1186_s12889_023_15513_1 crossref_primary_10_1016_j_procs_2024_04_148 crossref_primary_10_2196_27455 crossref_primary_10_1186_s44147_023_00240_6 |
| Cites_doi | 10.2196/25299 10.2345/0899-8205-46.s2.49 10.1186/s12889-018-5434-5 10.1002/14651858.CD004366.pub6 10.2196/mhealth.9117 10.1186/1741-7015-12-36 10.1016/S0165-0327(12)70009-5 10.1016/S0140-6736(17)32154-2 10.1007/s40279-018-0861-0 10.1177/1062860618798469 10.1371/journal.pone.0195797 10.2337/diaclin.31.1.43 10.2196/mhealth.8383 10.1007/s10916-016-0500-y 10.1080/00273171.2016.1245600 10.1186/s40798-018-0157-9 10.3399/bjgp18X694613 10.1093/geront/gnu090 10.31887/DCNS.2018.20.1/nsartorius 10.2196/mhealth.3660 10.1001/jamanetworkopen.2019.4281 10.1001/jama.2018.0158 10.2196/jmir.7994 10.1177/2055207618824727 10.7326/0003-4819-158-3-201302050-00583 10.1371/journal.pone.0065442 10.1016/j.jcjd.2017.10.008 10.7326/0003-4819-151-11-200912010-00005 10.1186/1748-5908-6-42 10.1097/01.NAJ.0000445684.37306.10 10.1007/s11892-014-0534-9 10.2337/dc11-2452 10.1007/s12160-016-9830-8 10.2337/diacare.26.8.2311 10.1007/s10865-017-9878-3 10.2196/12286 10.1016/S2215-0366(18)30227-X 10.1016/j.pmedr.2019.100822 10.1080/10447310802205776 10.1109/JBHI.2019.2947243 10.2196/12053 10.1038/nutd.2011.22 10.1016/j.amepre.2013.08.001 10.1007/978-3-319-51394-2_25 doi:10.1016/S0140-6736(17)32154-2 |
| ContentType | Journal Article |
| Copyright | Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2023 Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2020 |
| Copyright_xml | – notice: Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. – notice: 2023 Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2020 |
| DBID | 9YT ACMMV AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7RV 7X7 7XB 88E 88G 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR BTHHO CCPQU DWQXO FYUFA GHDGH GNUQQ K9- K9. KB0 M0R M0S M1P M2M NAPCQ PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PSYQQ Q9U 7X8 5PM DOA |
| DOI | 10.1136/bmjopen-2019-034723 |
| DatabaseName | BMJ Open Access Journals BMJ Journals:Open Access CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) ProQuest Nursing and Allied Health Journals - PSU access expires 11/30/25. Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Psychology Database (Alumni) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central BMJ Journals ProQuest One Community College ProQuest Central Korea Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student Consumer Health Database (Alumni Edition) ProQuest Health & Medical Complete (Alumni) Nursing & Allied Health Database (Alumni Edition) Consumer Health Database Health & Medical Collection (Alumni Edition) PML(ProQuest Medical Library) Psychology Database Nursing & Allied Health Premium ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest One Psychology ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest One Psychology ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Family Health (Alumni Edition) ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Central Basic ProQuest Family Health ProQuest One Academic Eastern Edition ProQuest Nursing & Allied Health Source ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Psychology Journals (Alumni) ProQuest Hospital Collection (Alumni) Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest Medical Library ProQuest Psychology Journals ProQuest One Academic UKI Edition BMJ Journals ProQuest Nursing & Allied Health Source (Alumni) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic Publicly Available Content Database MEDLINE |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: ACMMV name: BMJ Journals:Open Access url: https://journals.bmj.com/ sourceTypes: Publisher – sequence: 5 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine |
| EISSN | 2044-6055 |
| ExternalDocumentID | oai_doaj_org_article_8dbbcf0f9d91405687add678da8f20de PMC7443305 32819981 10_1136_bmjopen_2019_034723 bmjopen |
| Genre | Clinical Trial Protocol Research Support, U.S. Gov't, P.H.S Journal Article |
| GeographicLocations | San Francisco United States--US San Francisco California |
| GeographicLocations_xml | – name: San Francisco – name: San Francisco California – name: United States--US |
| GrantInformation_xml | – fundername: Agency for Healthcare Research and Quality grantid: HS25429-01 funderid: http://dx.doi.org/10.13039/100000133 – fundername: AHRQ HHS grantid: R01 HS025429 – fundername: ; grantid: HS25429-01 |
| GroupedDBID | --- 4.4 53G 5VS 7RV 7X7 7~R 88E 8FI 8FJ 9YT ABUWG ACGFS ACMMV ADBBV AENEX AFKRA ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BCNDV BENPR BKNYI BPHCQ BTFSW BTHHO CCPQU DIK DWQXO EBS FYUFA GNUQQ GROUPED_DOAJ GX1 H13 HMCUK HYE HZ~ K9- KQ8 M0R M1P M2M M48 M~E NAPCQ O9- OK1 PGMZT PHGZT PIMPY PQQKQ PROAC PSQYO PSYQQ RHI RMJ RPM UKHRP AAYXX ADRAZ BVXVI CITATION EJD PHGZM CGR CUY CVF ECM EIF NPM 3V. 7XB 8FK K9. PJZUB PKEHL PPXIY PQEST PQUKI PUEGO Q9U 7X8 5PM |
| ID | FETCH-LOGICAL-b578t-fd649bacb4922c33ec2dda6ad4e72aeacb9286cbcac1d57dd27d388de09c01d63 |
| IEDL.DBID | 9YT |
| ISSN | 2044-6055 |
| IngestDate | Wed Aug 27 01:30:38 EDT 2025 Thu Aug 21 18:31:29 EDT 2025 Thu Jul 10 23:21:14 EDT 2025 Thu Aug 28 08:29:34 EDT 2025 Thu Apr 03 07:01:39 EDT 2025 Tue Jul 01 03:00:19 EDT 2025 Thu Apr 24 22:53:33 EDT 2025 Thu Apr 24 22:51:19 EDT 2025 Thu Apr 24 22:49:46 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 8 |
| Keywords | telemedicine health informatics depression & mood disorders diabetes & endocrinology |
| Language | English |
| License | This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-b578t-fd649bacb4922c33ec2dda6ad4e72aeacb9286cbcac1d57dd27d388de09c01d63 |
| Notes | Protocol ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23 AA and CAF are joint first authors. |
| ORCID | 0000-0003-0692-2244 0000-0003-3291-1637 0000-0003-4213-4405 |
| OpenAccessLink | http://dx.doi.org/10.1136/bmjopen-2019-034723 |
| PMID | 32819981 |
| PQID | 2436086080 |
| PQPubID | 2040975 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_8dbbcf0f9d91405687add678da8f20de pubmedcentral_primary_oai_pubmedcentral_nih_gov_7443305 proquest_miscellaneous_2436395628 proquest_journals_2436086080 pubmed_primary_32819981 crossref_primary_10_1136_bmjopen_2019_034723 crossref_citationtrail_10_1136_bmjopen_2019_034723 bmj_primary_10_1136_bmjopen_2019_034723 bmj_journals_10_1136_bmjopen_2019_034723 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2020-08-20 |
| PublicationDateYYYYMMDD | 2020-08-20 |
| PublicationDate_xml | – month: 08 year: 2020 text: 2020-08-20 day: 20 |
| PublicationDecade | 2020 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England – name: London – name: BMA House, Tavistock Square, London, WC1H 9JR |
| PublicationSeriesTitle | Protocol |
| PublicationTitle | BMJ open |
| PublicationTitleAbbrev | BMJ Open |
| PublicationTitleAlternate | BMJ Open |
| PublicationYear | 2020 |
| Publisher | British Medical Journal Publishing Group BMJ Publishing Group LTD BMJ Publishing Group |
| Publisher_xml | – name: British Medical Journal Publishing Group – name: BMJ Publishing Group LTD – name: BMJ Publishing Group |
| References | Bang, Edwards, Bomback (R28) 2009; 151 McCurdie, Taneva, Casselman (R32) 2012; 46 Romeo, Edney, Plotnikoff (R12) 2019; 21 Schrire, Beck (R15) 1967; 41 Sigal, Armstrong, Bacon (R8) 2018; 42 Suppl 1 Chase (R40) 2015; 55 Manjoo, Joseph, Dasgupta (R46) 2012; 2 Mokdad, Ballestros (R50) 2018; 319 Michie, van Stralen, West (R31) 2011; 6 Korinek, Phatak, Martin (R37) 2018; 41 Qiu, Cai, Chen (R47) 2014; 12 Thomas, Jones, Scarinci (R5) 2003; 26 Cheung, Durusu, Sui (R22) 2019; 5 Cavero-Redondo, Peleteiro, Álvarez-Bueno (R44) 2018; 48 Hernandez-Ramos, Aguilera, Garcia (R27) 2021; 5 Nahum-Shani, Smith, Spring (R23) 2018; 52 Lyles, Handley, Ackerman (R19) 2019; 34 Han, Yan (R14) 2014; 114 Cham, Reshetnyak, Rosenfeld (R36) 2017; 52 Anderson-Lewis, Darville, Mercado (R42) 2018; 6 Fayehun, Olowookere, Ogunbode (R45) 2018; 68 Mammen, Faulkner (R10) 2013; 45 Grant, Mayo-Wilson, Melendez-Torres (R41) 2013; 8 (R1) 2017; 390 Avery, Flynn, van Wersch (R11) 2012; 35 Gal, May, van Overmeeren (R13) 2018; 4 Fukuoka, Haskell, Lin (R39) 2019; 2 Yamamoto, Miyazaki, Shimada (R43) 2018; 18 Vázquez, Sexto, Rocha (R17) 2016; 40 Bangor, Kortum, Miller (R30) 2008; 24 Lyles, Sarkar, Osborn (R24) 2014; 14 Chan, Tetzlaff, Altman (R26) 2013; 158 Zhou, Fukuoka, Mintz (R49) 2018; 6 Chireh, Li, D’Arcy (R3) 2019; 14 Polgreen, Anthony, Carr (R20) 2018; 13 Monteiro-Guerra, Rivera-Romero, Fernandez-Luque (R21) 2020; 24 Colon, Giachello, McIver (R6) 2013; 31 Yom-Tov, Feraru, Kozdoba (R33) 2017; 19 Cooney, Dwan, Greig (R9) 2013; 9 Fisher, Chan, Nan (R2) 2012; 142 Suppl Aguilera, Berridge (R25) 2014; 2 Chekroud, Gueorguieva, Zheutlin (R7) 2018; 5 Triantafyllidis, Tsanas (R48) 2019; 21 Sartorius (R4) 2018; 20 Chireh, Li, D'Arcy 2019; 14 Schrire, Beck 1967; 41 Avery, Flynn, van Wersch 2012; 35 Grant, Mayo-Wilson, Melendez-Torres 2013; 8 Romeo, Edney, Plotnikoff 2019; 21 Cham, Reshetnyak, Rosenfeld 2017; 52 Lyles, Handley, Ackerman 2019; 34 Yamamoto, Miyazaki, Shimada 2018; 18 Cavero-Redondo, Peleteiro, Álvarez-Bueno 2018; 48 Mokdad, Ballestros 2018; 319 Han, Yan 2014; 114 Aguilera, Berridge 2014; 2 Qiu, Cai, Chen 2014; 12 McCurdie, Taneva, Casselman 2012; 46 Triantafyllidis, Tsanas 2019; 21 Manjoo, Joseph, Dasgupta 2012; 2 Fisher, Chan, Nan 2012; 142 Bangor, Kortum, Miller 2008; 24 Chekroud, Gueorguieva, Zheutlin 2018; 5 Yom-Tov, Feraru, Kozdoba 2017; 19 Korinek, Phatak, Martin 2018; 41 Sartorius 2018; 20 Mammen, Faulkner 2013; 45 Polgreen, Anthony, Carr 2018; 13 Chan, Tetzlaff, Altman 2013; 158 Vázquez, Sexto, Rocha 2016; 40 Fukuoka, Haskell, Lin 2019; 2 Colon, Giachello, McIver 2013; 31 Michie, van Stralen, West 2011; 6 Fayehun, Olowookere, Ogunbode 2018; 68 Zhou, Fukuoka, Mintz 2018; 6 Cooney, Dwan, Greig 2013; 9 Gal, May, van Overmeeren 2018; 4 Anderson-Lewis, Darville, Mercado 2018; 6 Monteiro-Guerra, Rivera-Romero, Fernandez-Luque, Luque 2020; 24 Cheung, Durusu, Sui 2019; 5 Lyles, Sarkar, Osborn 2014; 14 Thomas, Jones, Scarinci 2003; 26 Nahum-Shani, Smith, Spring 2018; 52 Chase 2015; 55 Sigal, Armstrong 2018; 42 Vos, Abajobir, Abate 2017; 390 Chekroud (2023071902300612000_10.8.e034723.7) 2018; 5 2023071902300612000_10.8.e034723.18 2023071902300612000_10.8.e034723.16 2023071902300612000_10.8.e034723.12 2023071902300612000_10.8.e034723.11 2023071902300612000_10.8.e034723.10 Monteiro-Guerra (2023071902300612000_10.8.e034723.21) 2020; 24 Schrire (2023071902300612000_10.8.e034723.15) 1967; 41 Zhou (2023071902300612000_10.8.e034723.49) 2018; 6 2023071902300612000_10.8.e034723.51 Cham (2023071902300612000_10.8.e034723.36) 2017; 52 Korinek (2023071902300612000_10.8.e034723.37) 2018; 41 Nahum-Shani (2023071902300612000_10.8.e034723.23) 2018; 52 Anderson-Lewis (2023071902300612000_10.8.e034723.42) 2018; 6 Michie (2023071902300612000_10.8.e034723.31) 2011; 6 2023071902300612000_10.8.e034723.29 2023071902300612000_10.8.e034723.28 Mokdad (2023071902300612000_10.8.e034723.50) 2018; 319 2023071902300612000_10.8.e034723.27 2023071902300612000_10.8.e034723.26 Sartorius (2023071902300612000_10.8.e034723.4) 2018; 20 2023071902300612000_10.8.e034723.24 Vázquez (2023071902300612000_10.8.e034723.17) 2016; 40 Chase (2023071902300612000_10.8.e034723.40) 2015; 55 2023071902300612000_10.8.e034723.39 2023071902300612000_10.8.e034723.38 Yom-Tov (2023071902300612000_10.8.e034723.33) 2017; 19 2023071902300612000_10.8.e034723.1 Lyles (2023071902300612000_10.8.e034723.19) 2019; 34 2023071902300612000_10.8.e034723.35 2023071902300612000_10.8.e034723.2 2023071902300612000_10.8.e034723.34 2023071902300612000_10.8.e034723.3 Polgreen (2023071902300612000_10.8.e034723.20) 2018; 13 2023071902300612000_10.8.e034723.9 Grant (2023071902300612000_10.8.e034723.41) 2013; 8 McCurdie (2023071902300612000_10.8.e034723.32) 2012; 46 2023071902300612000_10.8.e034723.5 2023071902300612000_10.8.e034723.6 Sigal (2023071902300612000_10.8.e034723.8) 2018; 42 Suppl 1 Gal (2023071902300612000_10.8.e034723.13) 2018; 4 Han (2023071902300612000_10.8.e034723.14) 2014; 114 2023071902300612000_10.8.e034723.48 2023071902300612000_10.8.e034723.47 2023071902300612000_10.8.e034723.45 2023071902300612000_10.8.e034723.43 Manjoo (2023071902300612000_10.8.e034723.46) 2012; 2 Bangor (2023071902300612000_10.8.e034723.30) 2008; 24 Cheung (2023071902300612000_10.8.e034723.22) 2019; 5 Aguilera (2023071902300612000_10.8.e034723.25) 2014; 2 Cavero-Redondo (2023071902300612000_10.8.e034723.44) 2018; 48 37433738 - BMJ Open. 2023 Jul 11;13(7):e034723corr1 |
| References_xml | – volume: 5 year: 2021 ident: R27 article-title: Conducting Internet-based visits for Onboarding populations with limited Digital literacy to an Mhealth intervention: development of a patient-centered approach publication-title: JMIR Form Res doi: 10.2196/25299 – volume: 46 start-page: 49 year: 2012 ident: R32 article-title: mHealth consumer apps : the case for user-centered design publication-title: Biomed Instrum Technol doi: 10.2345/0899-8205-46.s2.49 – volume: 18 start-page: 540 year: 2018 ident: R43 article-title: Daily step count and all-cause mortality in a sample of Japanese elderly people: a cohort study publication-title: BMC Public Health doi: 10.1186/s12889-018-5434-5 – volume: 9 year: 2013 ident: R9 article-title: Exercise for depression Cochrane database publication-title: Syst Rev doi: 10.1002/14651858.CD004366.pub6 – volume: 6 start-page: e28 year: 2018 ident: R49 article-title: Evaluating machine learning-based automated personalized daily step goals delivered through a mobile phone App: randomized controlled trial publication-title: JMIR Mhealth Uhealth doi: 10.2196/mhealth.9117 – volume: 12 start-page: 36 year: 2014 ident: R47 article-title: Step counter use in type 2 diabetes: a meta-analysis of randomized controlled trials publication-title: BMC Med doi: 10.1186/1741-7015-12-36 – volume: 142 Suppl start-page: S56 year: 2012 ident: R2 article-title: Co-occurrence of diabetes and depression: conceptual considerations for an emerging global health challenge publication-title: J Affect Disord doi: 10.1016/S0165-0327(12)70009-5 – volume: 390 start-page: 1211 year: 2017 ident: R1 article-title: Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the global burden of disease study 2016 publication-title: Lancet doi: 10.1016/S0140-6736(17)32154-2 – volume: 48 start-page: 1151 year: 2018 ident: R44 article-title: The effect of physical activity interventions on Glycosylated Haemoglobin (Hba1C) in non-diabetic populations: A systematic review and meta-analysis publication-title: Sports Med doi: 10.1007/s40279-018-0861-0 – volume: 34 start-page: 293 year: 2019 ident: R19 article-title: Innovative implementation studies conducted in US safety net health care settings: A systematic review publication-title: Am J Med Qual doi: 10.1177/1062860618798469 – volume: 13 year: 2018 ident: R20 article-title: The effect of automated text Messaging and goal setting on Pedometer adherence and physical activity in patients with diabetes: A randomized controlled trial publication-title: PLoS One doi: 10.1371/journal.pone.0195797 – volume: 31 start-page: 43 year: 2013 ident: R6 article-title: Diabetes and depression in the Hispanic/Latino community publication-title: Clin Diabetes doi: 10.2337/diaclin.31.1.43 – volume: 6 start-page: e128 year: 2018 ident: R42 article-title: mHealth technology use and implications in historically Underserved and minority populations in the United States: systematic literature review publication-title: JMIR Mhealth Uhealth doi: 10.2196/mhealth.8383 – volume: 40 year: 2016 ident: R17 article-title: Mobile phones and Psychosocial therapies with vulnerable people: a first state of the art publication-title: J Med Syst doi: 10.1007/s10916-016-0500-y – volume: 52 start-page: 12 year: 2017 ident: R36 article-title: Full information maximum likelihood estimation for latent variable interactions with incomplete indicators publication-title: Multivariate Behav Res doi: 10.1080/00273171.2016.1245600 – volume: 4 start-page: 42 year: 2018 ident: R13 article-title: The effect of physical activity interventions comprising Wearables and Smartphone applications on physical activity: a systematic review and meta-analysis publication-title: Sports Med Open doi: 10.1186/s40798-018-0157-9 – volume: 68 start-page: e139 year: 2018 ident: R45 article-title: Walking prescription of 10 000 steps per day in patients with type 2 diabetes mellitus: a randomised trial in Nigerian general practice publication-title: Br J Gen Pract doi: 10.3399/bjgp18X694613 – volume: 55 start-page: 706 year: 2015 ident: R40 article-title: Interventions to increase physical activity among older adults: A meta-analysis publication-title: Gerontologist doi: 10.1093/geront/gnu090 – volume: 20 start-page: 47 year: 2018 ident: R4 article-title: Depression and diabetes publication-title: Dialogues Clin Neurosci doi: 10.31887/DCNS.2018.20.1/nsartorius – volume: 2 start-page: e46 year: 2014 ident: R25 article-title: Qualitative feedback from a text Messaging intervention for depression: benefits, drawbacks, and cultural differences publication-title: JMIR Mhealth Uhealth doi: 10.2196/mhealth.3660 – volume: 2 year: 2019 ident: R39 article-title: Short- and long-term effects of a mobile phone App in conjunction with brief in-person counseling on physical activity among physically inactive women: the mPED randomized clinical trial publication-title: JAMA Netw Open doi: 10.1001/jamanetworkopen.2019.4281 – volume: 319 start-page: 1444 year: 2018 ident: R50 article-title: The state of US health, 1990-2016: burden of diseases, injuries, and risk factors among US states publication-title: JAMA doi: 10.1001/jama.2018.0158 – volume: 19 year: 2017 ident: R33 article-title: Encouraging physical activity in patients with diabetes: intervention using a reinforcement learning system publication-title: J Med Internet Res doi: 10.2196/jmir.7994 – volume: 5 year: 2019 ident: R22 article-title: How Recommender systems could support and enhance computer-tailored Digital health programs: A Scoping review publication-title: Digit Health doi: 10.1177/2055207618824727 – volume: 158 start-page: 200 year: 2013 ident: R26 article-title: SPIRIT 2013 statement: defining standard protocol items for clinical trials publication-title: Ann Intern Med doi: 10.7326/0003-4819-158-3-201302050-00583 – volume: 8 year: 2013 ident: R41 article-title: Reporting quality of social and psychological intervention trials: a systematic review of reporting guidelines and trial publications publication-title: PLoS One doi: 10.1371/journal.pone.0065442 – volume: 42 Suppl 1 start-page: S54 year: 2018 ident: R8 article-title: Physical activity and diabetes publication-title: Can J Diabetes doi: 10.1016/j.jcjd.2017.10.008 – volume: 151 start-page: 775 year: 2009 ident: R28 article-title: Development and validation of a patient self-assessment score for diabetes risk publication-title: Ann Intern Med doi: 10.7326/0003-4819-151-11-200912010-00005 – volume: 6 start-page: 42 year: 2011 ident: R31 article-title: The behaviour change wheel: a new method for Characterising and designing behaviour change interventions publication-title: Implement Sci doi: 10.1186/1748-5908-6-42 – volume: 114 start-page: 23 year: 2014 ident: R14 article-title: The effect of face-to-face interventions in promoting physical activity publication-title: Am J Nurs doi: 10.1097/01.NAJ.0000445684.37306.10 – volume: 14 start-page: 534 year: 2014 ident: R24 article-title: Getting a technology-based diabetes intervention ready for prime time: a review of usability testing studies publication-title: Curr Diab Rep doi: 10.1007/s11892-014-0534-9 – volume: 35 start-page: 2681 year: 2012 ident: R11 article-title: Changing physical activity behavior in type 2 diabetes: a systematic review and meta-analysis of behavioral interventions publication-title: Diabetes Care doi: 10.2337/dc11-2452 – volume: 52 start-page: 446 year: 2018 ident: R23 article-title: Just-in-time adaptive interventions (Jitais) in mobile health: key components and design principles for ongoing health behavior support publication-title: Ann Behav Med doi: 10.1007/s12160-016-9830-8 – volume: 26 start-page: 2311 year: 2003 ident: R5 article-title: A descriptive and comparative study of the prevalence of depressive and anxiety disorders in low-income adults with type 2 diabetes and other chronic illnesses publication-title: Diabetes Care doi: 10.2337/diacare.26.8.2311 – volume: 41 start-page: 74 year: 2018 ident: R37 article-title: Adaptive step goals and rewards: a longitudinal growth model of daily steps for a Smartphone-based walking intervention publication-title: J Behav Med doi: 10.1007/s10865-017-9878-3 – volume: 21 year: 2019 ident: R48 article-title: Applications of machine learning in real-life Digital health interventions: review of the literature publication-title: J Med Internet Res doi: 10.2196/12286 – volume: 5 start-page: 739 year: 2018 ident: R7 article-title: Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study publication-title: Lancet Psychiatry doi: 10.1016/S2215-0366(18)30227-X – volume: 14 year: 2019 ident: R3 article-title: Diabetes increases the risk of depression: A systematic review, meta-analysis and estimates of population attributable fractions based on prospective studies publication-title: Prev Med Rep doi: 10.1016/j.pmedr.2019.100822 – volume: 24 start-page: 574 year: 2008 ident: R30 article-title: An empirical evaluation of the system usability scale publication-title: International Journal of Human-Computer Interaction doi: 10.1080/10447310802205776 – volume: 24 start-page: 1738 year: 2020 ident: R21 article-title: Personalization in real-time physical activity coaching using mobile applications: A Scoping review publication-title: IEEE J Biomed Health Inform doi: 10.1109/JBHI.2019.2947243 – volume: 21 year: 2019 ident: R12 article-title: Can Smartphone Apps increase physical activity? systematic review and meta-analysis publication-title: J Med Internet Res doi: 10.2196/12053 – volume: 41 start-page: 1263 year: 1967 ident: R15 article-title: Human heart transplantation--the pre-operative assessment publication-title: S Afr Med J – volume: 2 start-page: e25 year: 2012 ident: R46 article-title: Abdominal Adiposity and daily step counts as determinants of Glycemic control in a cohort of patients with type 2 diabetes mellitus publication-title: Nutr Diabetes doi: 10.1038/nutd.2011.22 – volume: 45 start-page: 649 year: 2013 ident: R10 article-title: Physical activity and the prevention of depression: a systematic review of prospective studies publication-title: Am J Prev Med doi: 10.1016/j.amepre.2013.08.001 – volume: 48 start-page: 1151 year: 2018 article-title: The effect of physical activity interventions on glycosylated haemoglobin (HbA1c) in non-diabetic populations: a systematic review and meta-analysis publication-title: Sports Med doi: 10.1007/s40279-018-0861-0 – volume: 9 year: 2013 article-title: Exercise for depression Cochrane database publication-title: Syst Rev – volume: 21 year: 2019 article-title: Can smartphone apps increase physical activity? systematic review and meta-analysis publication-title: J Med Internet Res doi: 10.2196/12053 – volume: 41 start-page: 1263 year: 1967 article-title: Human heart transplantation--the pre-operative assessment publication-title: S Afr Med J – volume: 26 start-page: 2311 year: 2003 article-title: A descriptive and comparative study of the prevalence of depressive and anxiety disorders in low-income adults with type 2 diabetes and other chronic illnesses publication-title: Diabetes Care doi: 10.2337/diacare.26.8.2311 – volume: 68 start-page: e139 year: 2018 article-title: Walking prescription of 10 000 steps per day in patients with type 2 diabetes mellitus: a randomised trial in Nigerian general practice publication-title: Br J Gen Pract doi: 10.3399/bjgp18X694613 – volume: 8 year: 2013 article-title: Reporting quality of social and psychological intervention trials: a systematic review of reporting guidelines and trial publications publication-title: PLoS One doi: 10.1371/journal.pone.0065442 – volume: 46 start-page: 49 year: 2012 article-title: mHealth consumer apps : the case for user-centered design publication-title: Biomed Instrum Technol doi: 10.2345/0899-8205-46.s2.49 – volume: 14 start-page: 100822 year: 2019 article-title: Diabetes increases the risk of depression: a systematic review, meta-analysis and estimates of population attributable fractions based on prospective studies publication-title: Prev Med Rep doi: 10.1016/j.pmedr.2019.100822 – volume: 2 start-page: e194281 year: 2019 article-title: Short- and long-term effects of a mobile phone App in conjunction with brief In-Person counseling on physical activity among physically inactive women: the mPED randomized clinical trial publication-title: JAMA Netw Open doi: 10.1001/jamanetworkopen.2019.4281 – volume: 6 year: 2018 article-title: Evaluating machine learning–based automated personalized daily step goals delivered through a mobile phone app: randomized controlled trial publication-title: JMIR Mhealth Uhealth doi: 10.2196/mhealth.9117 – volume: 20 start-page: 47 year: 2018 article-title: Depression and diabetes publication-title: Dialogues Clin Neurosci – volume: 45 start-page: 649 year: 2013 article-title: Physical activity and the prevention of depression: a systematic review of prospective studies publication-title: Am J Prev Med doi: 10.1016/j.amepre.2013.08.001 – volume: 390 start-page: 1211 year: 2017 article-title: Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the global burden of disease study 2016 publication-title: Lancet doi: 10.1016/S0140-6736(17)32154-2 – volume: 13 year: 2018 article-title: The effect of automated text messaging and goal setting on pedometer adherence and physical activity in patients with diabetes: a randomized controlled trial publication-title: PLoS One doi: 10.1371/journal.pone.0195797 – volume: 35 start-page: 2681 year: 2012 article-title: Changing physical activity behavior in type 2 diabetes: a systematic review and meta-analysis of behavioral interventions publication-title: Diabetes Care doi: 10.2337/dc11-2452 – volume: 142 start-page: S56 year: 2012 article-title: Co-occurrence of diabetes and depression: conceptual considerations for an emerging global health challenge publication-title: J Affect Disord doi: 10.1016/S0165-0327(12)70009-5 – volume: 319 start-page: 1444 year: 2018 article-title: The state of US health, 1990-2016: burden of diseases, injuries, and risk factors among US states publication-title: JAMA doi: 10.1001/jama.2018.0158 – volume: 24 start-page: 574 year: 2008 article-title: An empirical evaluation of the system usability scale publication-title: Int J Hum Comput Interact doi: 10.1080/10447310802205776 – volume: 52 start-page: 446 year: 2018 article-title: Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support publication-title: Ann Behav Med doi: 10.1007/s12160-016-9830-8 – volume: 24 start-page: 1738-1751 year: 2020 article-title: Personalization in real-time physical activity coaching using mobile applications: a scoping review publication-title: IEEE J Biomed Health Inform doi: 10.1109/JBHI.2019.2947243 – volume: 18 year: 2018 article-title: Daily step count and all-cause mortality in a sample of Japanese elderly people: a cohort study publication-title: BMC Public Health doi: 10.1186/s12889-018-5434-5 – volume: 4 start-page: 42 year: 2018 article-title: The effect of physical activity interventions comprising wearables and smartphone applications on physical activity: a systematic review and meta-analysis publication-title: Sports Med Open doi: 10.1186/s40798-018-0157-9 – volume: 114 start-page: 23 year: 2014 article-title: The effect of face-to-face interventions in promoting physical activity publication-title: Am J Nurs doi: 10.1097/01.NAJ.0000445684.37306.10 – volume: 14 year: 2014 article-title: Getting a technology-based diabetes intervention ready for prime time: a review of usability testing studies publication-title: Curr Diab Rep doi: 10.1007/s11892-014-0534-9 – volume: 6 year: 2018 article-title: mHealth technology use and implications in historically underserved and minority populations in the United States: systematic literature review publication-title: JMIR Mhealth Uhealth doi: 10.2196/mhealth.8383 – volume: 21 year: 2019 article-title: Applications of machine learning in real-life digital health interventions: review of the literature publication-title: J Med Internet Res doi: 10.2196/12286 – volume: 5 start-page: 739 year: 2018 article-title: Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study publication-title: Lancet Psychiatry doi: 10.1016/S2215-0366(18)30227-X – volume: 2 year: 2014 article-title: Qualitative feedback from a text messaging intervention for depression: benefits, drawbacks, and cultural differences publication-title: JMIR Mhealth Uhealth doi: 10.2196/mhealth.3660 – volume: 5 start-page: 205520761882472 year: 2019 article-title: How recommender systems could support and enhance computer-tailored digital health programs: a scoping review publication-title: Digit Health doi: 10.1177/2055207618824727 – volume: 19 year: 2017 article-title: Encouraging physical activity in patients with diabetes: intervention using a reinforcement learning system publication-title: J Med Internet Res doi: 10.2196/jmir.7994 – volume: 2 year: 2012 article-title: Abdominal adiposity and daily step counts as determinants of glycemic control in a cohort of patients with type 2 diabetes mellitus publication-title: Nutr Diabetes doi: 10.1038/nutd.2011.22 – volume: 31 start-page: 43 year: 2013 article-title: Diabetes and depression in the Hispanic/Latino community publication-title: Clin Diabetes doi: 10.2337/diaclin.31.1.43 – volume: 42 start-page: S54 year: 2018 article-title: Physical activity and diabetes publication-title: Can J Diabetes doi: 10.1016/j.jcjd.2017.10.008 – volume: 55 start-page: 706 year: 2015 article-title: Interventions to increase physical activity among older adults: a meta-analysis publication-title: Gerontologist doi: 10.1093/geront/gnu090 – volume: 6 start-page: 42 year: 2011 article-title: The behaviour change wheel: a new method for characterising and designing behaviour change interventions publication-title: Implement Sci doi: 10.1186/1748-5908-6-42 – volume: 52 start-page: 12 year: 2017 article-title: Full information maximum likelihood estimation for latent variable interactions with incomplete indicators publication-title: Multivariate Behav Res doi: 10.1080/00273171.2016.1245600 – volume: 34 start-page: 293 year: 2019 article-title: Innovative implementation studies conducted in US safety net health care settings: a systematic review publication-title: Am J Med Qual doi: 10.1177/1062860618798469 – volume: 41 start-page: 74 year: 2018 article-title: Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention publication-title: J Behav Med doi: 10.1007/s10865-017-9878-3 – volume: 40 year: 2016 article-title: Mobile phones and psychosocial therapies with vulnerable people: a first state of the art publication-title: J Med Syst doi: 10.1007/s10916-016-0500-y – volume: 158 start-page: 200 year: 2013 article-title: SPIRIT 2013 statement: defining standard protocol items for clinical trials publication-title: Ann Intern Med doi: 10.7326/0003-4819-158-3-201302050-00583 – volume: 12 year: 2014 article-title: Step counter use in type 2 diabetes: a meta-analysis of randomized controlled trials publication-title: BMC Med doi: 10.1186/1741-7015-12-36 – ident: 2023071902300612000_10.8.e034723.2 doi: 10.1016/S0165-0327(12)70009-5 – ident: 2023071902300612000_10.8.e034723.6 doi: 10.2337/diaclin.31.1.43 – volume: 19 year: 2017 ident: 2023071902300612000_10.8.e034723.33 article-title: Encouraging physical activity in patients with diabetes: intervention using a reinforcement learning system publication-title: J Med Internet Res doi: 10.2196/jmir.7994 – volume: 2 start-page: e46 year: 2014 ident: 2023071902300612000_10.8.e034723.25 article-title: Qualitative feedback from a text Messaging intervention for depression: benefits, drawbacks, and cultural differences publication-title: JMIR Mhealth Uhealth doi: 10.2196/mhealth.3660 – volume: 52 start-page: 12 year: 2017 ident: 2023071902300612000_10.8.e034723.36 article-title: Full information maximum likelihood estimation for latent variable interactions with incomplete indicators publication-title: Multivariate Behav Res doi: 10.1080/00273171.2016.1245600 – ident: 2023071902300612000_10.8.e034723.10 doi: 10.1016/j.amepre.2013.08.001 – volume: 24 start-page: 1738 year: 2020 ident: 2023071902300612000_10.8.e034723.21 article-title: Personalization in real-time physical activity coaching using mobile applications: A Scoping review publication-title: IEEE J Biomed Health Inform doi: 10.1109/JBHI.2019.2947243 – ident: 2023071902300612000_10.8.e034723.11 doi: 10.2337/dc11-2452 – volume: 4 start-page: 42 year: 2018 ident: 2023071902300612000_10.8.e034723.13 article-title: The effect of physical activity interventions comprising Wearables and Smartphone applications on physical activity: a systematic review and meta-analysis publication-title: Sports Med Open doi: 10.1186/s40798-018-0157-9 – volume: 6 start-page: e28 year: 2018 ident: 2023071902300612000_10.8.e034723.49 article-title: Evaluating machine learning-based automated personalized daily step goals delivered through a mobile phone App: randomized controlled trial publication-title: JMIR Mhealth Uhealth doi: 10.2196/mhealth.9117 – ident: 2023071902300612000_10.8.e034723.27 doi: 10.2196/25299 – ident: 2023071902300612000_10.8.e034723.45 doi: 10.1186/1741-7015-12-36 – ident: 2023071902300612000_10.8.e034723.24 doi: 10.1007/s11892-014-0534-9 – ident: 2023071902300612000_10.8.e034723.18 – ident: 2023071902300612000_10.8.e034723.47 doi: 10.2196/mhealth.9117 – volume: 319 start-page: 1444 year: 2018 ident: 2023071902300612000_10.8.e034723.50 article-title: The state of US health, 1990-2016: burden of diseases, injuries, and risk factors among US states publication-title: JAMA doi: 10.1001/jama.2018.0158 – ident: 2023071902300612000_10.8.e034723.51 – ident: 2023071902300612000_10.8.e034723.3 doi: 10.1016/j.pmedr.2019.100822 – volume: 40 year: 2016 ident: 2023071902300612000_10.8.e034723.17 article-title: Mobile phones and Psychosocial therapies with vulnerable people: a first state of the art publication-title: J Med Syst doi: 10.1007/s10916-016-0500-y – ident: 2023071902300612000_10.8.e034723.28 doi: 10.1080/10447310802205776 – volume: 20 start-page: 47 year: 2018 ident: 2023071902300612000_10.8.e034723.4 article-title: Depression and diabetes publication-title: Dialogues Clin Neurosci doi: 10.31887/DCNS.2018.20.1/nsartorius – ident: 2023071902300612000_10.8.e034723.38 – volume: 46 start-page: 49 year: 2012 ident: 2023071902300612000_10.8.e034723.32 article-title: mHealth consumer apps : the case for user-centered design publication-title: Biomed Instrum Technol doi: 10.2345/0899-8205-46.s2.49 – volume: 48 start-page: 1151 year: 2018 ident: 2023071902300612000_10.8.e034723.44 article-title: The effect of physical activity interventions on Glycosylated Haemoglobin (Hba1C) in non-diabetic populations: A systematic review and meta-analysis publication-title: Sports Med doi: 10.1007/s40279-018-0861-0 – volume: 5 year: 2019 ident: 2023071902300612000_10.8.e034723.22 article-title: How Recommender systems could support and enhance computer-tailored Digital health programs: A Scoping review publication-title: Digit Health – volume: 42 Suppl 1 start-page: S54 year: 2018 ident: 2023071902300612000_10.8.e034723.8 article-title: Physical activity and diabetes publication-title: Can J Diabetes doi: 10.1016/j.jcjd.2017.10.008 – ident: 2023071902300612000_10.8.e034723.12 doi: 10.2196/12053 – volume: 41 start-page: 1263 year: 1967 ident: 2023071902300612000_10.8.e034723.15 article-title: Human heart transplantation--the pre-operative assessment publication-title: S Afr Med J – ident: 2023071902300612000_10.8.e034723.48 doi: 10.1001/jama.2018.0158 – ident: 2023071902300612000_10.8.e034723.5 doi: 10.2337/diacare.26.8.2311 – volume: 114 start-page: 23 year: 2014 ident: 2023071902300612000_10.8.e034723.14 article-title: The effect of face-to-face interventions in promoting physical activity publication-title: Am J Nurs doi: 10.1097/01.NAJ.0000445684.37306.10 – ident: 2023071902300612000_10.8.e034723.26 doi: 10.7326/0003-4819-158-3-201302050-00583 – volume: 41 start-page: 74 year: 2018 ident: 2023071902300612000_10.8.e034723.37 article-title: Adaptive step goals and rewards: a longitudinal growth model of daily steps for a Smartphone-based walking intervention publication-title: J Behav Med doi: 10.1007/s10865-017-9878-3 – ident: 2023071902300612000_10.8.e034723.34 doi: 10.1007/978-3-319-51394-2_25 – ident: 2023071902300612000_10.8.e034723.35 – ident: 2023071902300612000_10.8.e034723.43 doi: 10.3399/bjgp18X694613 – volume: 52 start-page: 446 year: 2018 ident: 2023071902300612000_10.8.e034723.23 article-title: Just-in-time adaptive interventions (Jitais) in mobile health: key components and design principles for ongoing health behavior support publication-title: Ann Behav Med doi: 10.1007/s12160-016-9830-8 – ident: 2023071902300612000_10.8.e034723.1 doi: doi:10.1016/S0140-6736(17)32154-2 – volume: 6 start-page: e128 year: 2018 ident: 2023071902300612000_10.8.e034723.42 article-title: mHealth technology use and implications in historically Underserved and minority populations in the United States: systematic literature review publication-title: JMIR Mhealth Uhealth doi: 10.2196/mhealth.8383 – volume: 6 start-page: 42 year: 2011 ident: 2023071902300612000_10.8.e034723.31 article-title: The behaviour change wheel: a new method for Characterising and designing behaviour change interventions publication-title: Implement Sci doi: 10.1186/1748-5908-6-42 – volume: 24 start-page: 574 year: 2008 ident: 2023071902300612000_10.8.e034723.30 article-title: An empirical evaluation of the system usability scale publication-title: International Journal of Human-Computer Interaction doi: 10.1080/10447310802205776 – volume: 13 year: 2018 ident: 2023071902300612000_10.8.e034723.20 article-title: The effect of automated text Messaging and goal setting on Pedometer adherence and physical activity in patients with diabetes: A randomized controlled trial publication-title: PLoS One doi: 10.1371/journal.pone.0195797 – ident: 2023071902300612000_10.8.e034723.29 – volume: 55 start-page: 706 year: 2015 ident: 2023071902300612000_10.8.e034723.40 article-title: Interventions to increase physical activity among older adults: A meta-analysis publication-title: Gerontologist doi: 10.1093/geront/gnu090 – ident: 2023071902300612000_10.8.e034723.9 doi: 10.1002/14651858.CD004366.pub6 – volume: 34 start-page: 293 year: 2019 ident: 2023071902300612000_10.8.e034723.19 article-title: Innovative implementation studies conducted in US safety net health care settings: A systematic review publication-title: Am J Med Qual doi: 10.1177/1062860618798469 – volume: 5 start-page: 739 year: 2018 ident: 2023071902300612000_10.8.e034723.7 article-title: Association between physical exercise and mental health in 1·2 million individuals in the USA between 2011 and 2015: a cross-sectional study publication-title: Lancet Psychiatry doi: 10.1016/S2215-0366(18)30227-X – ident: 2023071902300612000_10.8.e034723.16 – volume: 8 year: 2013 ident: 2023071902300612000_10.8.e034723.41 article-title: Reporting quality of social and psychological intervention trials: a systematic review of reporting guidelines and trial publications publication-title: PLoS One doi: 10.1371/journal.pone.0065442 – volume: 2 start-page: e25 year: 2012 ident: 2023071902300612000_10.8.e034723.46 article-title: Abdominal Adiposity and daily step counts as determinants of Glycemic control in a cohort of patients with type 2 diabetes mellitus publication-title: Nutr Diabetes doi: 10.1038/nutd.2011.22 – ident: 2023071902300612000_10.8.e034723.39 doi: 10.1371/journal.pone.0065442 – reference: 37433738 - BMJ Open. 2023 Jul 11;13(7):e034723corr1 |
| SSID | ssj0000459552 |
| Score | 2.501413 |
| Snippet | IntroductionDepression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic... Depression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients.... Introduction Depression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic... |
| SourceID | doaj pubmedcentral proquest pubmed crossref bmj |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | e034723 |
| SubjectTerms | Adaptive learning Adolescent Adult Aged Behavior Clinical trials depression & mood disorders Depression - epidemiology Design Diabetes diabetes & endocrinology Diabetes Mellitus - epidemiology Diabetes Mellitus - therapy Ethnicity Exercise Health care access health informatics Humans Hypotheses Intervention Low income groups Machine Learning Mental depression Mental Health Middle Aged Minority & ethnic groups Minority Groups Mobile Applications Patients Portable computers Primary care Randomized Controlled Trials as Topic San Francisco Smartphones Telemedicine Text messaging Young Adult |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQD4gL4k1KqQYJCQ5ETfxKzI1Cq4JET63UW-RXShGbXbXbA7-BP82M4w27CBUOHGM7iuP55mWPZxh7KZW3XEZdGhV72q2qS3yuStROjVTRk06haItjfXQqP52ps7VSXxQTNqYHHhdurw3O-b7qTTDoCyjdNsiRKGGDbXtehUjSF3XemjOVZLBURime0wzVQu-52VeqR4WooFs7QjapQBG2biiklLf_T8bm7zGTa0ro8B67m61HeDfO-j67FYcH7PbnfD7-kP2YjdeKwC4WQCHt5zBL0ZIRcnmIc1jO4WIgW_EqwiJTCeh6A1WRwC5YbceCHQJMkbLDW1jdooRU6gMoxcMccQRo9wLakfDhI0rw45MDoODE74_Y6eHByfujMpdbKB2y7bLsg5bGWe-k4dwLET0PwWobZGy4RQHtDG-1d976OqgmBN4E0bYhVsZXddDiMdsa5kN8ykBU0cnQ96J3Gi0G5YwMvLax1jEo9H8L9hpXvsvsctUlT0ToLhOpIyJ1I5EK9oqGLsbcGzeP5CtCdj4nOKc6G99ufunN9NI_fWOfEDINpeTcqQEh22XIdn-DbMF2Vvj6tQRcCo3uJRrwBXsxdSOv0wGOHeL8ehwj0KHlbcGejHCcZiLoRNS0dcGaDaBuTHWzZ7j4kvKJN1IKFPvb_-PfnrE7nHYkKpK_O2xreXkdn6PZtnS7iUN_AroPQrM priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwELagSIgL4k1KQUZCggNREz9jLohHq4JET620t8ivbIvYJO1uD_wG_jQziTdlEVpx3NjRWpnX5_F4PkJeCektE1HlRsYGs1VlDr-LHKKTFjJ6jClYbXGsjk7F15mcpYTbMpVVrn3i4KhD5zFHvs8EVwC_AeC87y9yZI3C09VEoXGT3MLWZVjSpWd6yrEAXDFSstRsqORq3y2-IysV6Abe3eFCDzRF8HQjLA3d-_8FOf-unPwjFB3eI3cThqQfRqHfJzdi-4Dc_pZOyR-SX4vxchG1fU-xsH1OF0PNZKSJJGJOVx09bxExLiPtk6woXnJALgkYouukLLVtoFO9bPuOru9S0oHwg2Kjhw60iQL6pYAm6ecv4MePTw4olij-fERODw9OPh3liXQhd2C8q7wJShhnvROGMc959CwEq2wQUTMLbtoZVinvvPVlkDoEpgOvqhAL44syKP6Y7LRdG58SyovoRGga3jgFuEE6IwIrbSxVDBJ2wRl5A1--TkazrIf9CFd1ElKNQqpHIWXkNU7txw4c22eytSBrn9qcI9vGj-0vvZ1e-q__-IgaMk3FFt3Dg-5yXieLr6vgnG-KxgQDm1ipKg2hBKBBsFXDihAzsrfWr-tPcK3lGXk5DYPF4zGObWN3Nc7hsK1lVUaejOo4rYTjuaipyozoDUXdWOrmSHt-NnQV10JwcP6725f1jNxhmHEo0L_ukZ3V5VV8DrBs5V4Mtvcbeg042A priority: 102 providerName: ProQuest – databaseName: Scholars Portal Journals: Open Access dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1ba9VAEF7aCqUv4t3UKisI-mA02VuygoiXliq0Tz3Qt7C3HCs9yenpKdjf4J92JtlEj9QiPiY7S8LO7Mw3u3Mh5JmQzjARVKplqPG0Kk_hOUvBOhVCBoc2BaMtDtX-RHw5lsdrZOiKGhfw_ErXDvtJTRanr76fXb6DDf82diR5bWffcAgYjgk5XBSMr5MbYJoK3KkHEe93qllILSWL1Yf-MneLbHK8XtJY63odCFZMVlfZ_yo4-mdU5W9mau8WuRnxJX3fC8RtshaaO2TzIN6g3yU_Zn3iETXzOcWg9ymddfGUgcYGElO6bOlJg2jyPNB55CPFBAjsMwFDdDiwpabxdIylbd7QIc-Sds1AKBaBaEHSKCBjCkiTfvoMOv7waJdi-OLlPTLZ2z36uJ_GhgyphY29TGuvhLbGWaEZc5wHx7w3yngRCmZAhVvNSuWsMy73svCeFZ6XpQ-ZdlnuFb9PNpq2CQ8J5Vmwwtc1r60CTCGtFp7lJuQqeAkeckJewMpXgzxUna_CVRX5VSG_qp5fCXmOpPO-Osf1lGxgZOViCXTsxHF6_aSX46R_-sYHlJCRFMt3dy_axbSK2qAqvbWuzmrtNTi4UpUFmBmADd6UNct8SMjOIF-_loAJrsABBYifkKfjMGgDvOIxTWgvehoOLi8rE_KgF8fxTwahTkixIqgrv7o60px87SqOF0JwMAzb_z3zEdlieFCRoVreIRvLxUV4DGhuaZ90O_QnAQJK1w priority: 102 providerName: Scholars Portal |
| Title | mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study |
| URI | https://bmjopen.bmj.com/content/10/8/e034723.full https://www.ncbi.nlm.nih.gov/pubmed/32819981 https://www.proquest.com/docview/2436086080 https://www.proquest.com/docview/2436395628 https://pubmed.ncbi.nlm.nih.gov/PMC7443305 https://doaj.org/article/8dbbcf0f9d91405687add678da8f20de |
| Volume | 10 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9NAEB6RVqp6QbxrKNEiIcEBC3t3vba5tSWlICVCKEXhZO3LpYg4EU0P_Ab-NDN-USOoenGU7NixdmZ2vp2dB8BzmVjNpVdhnviSvFVxiN-jEK1TKhNvyaZQtMVMnZzKD4tkcSVZfXiCHwv12iy_USMpZCel2wiZcjGC7boqCwn0l3nvUkF0kid1jx0eSRkiUE_aOkP_ec4u7Ag6SMqpqvUICQbGqa7h_y_g-Xf85BWDdHwHbrdIkh00rL8Lt3x1D3am7Vn5ffi1bFKMmF6vGYW3n7FlHTnpWdsq4oxtVuy8Itx44dm65RijVAfqKIFDrHPNMl051kfNVm9Yl1HJ6rYfjMo9rFCmGGJghpiSvX2Pq_lsPmEUqPjzAZweT-ZHJ2HbeiE0qMKbsHRK5kZbI3POrRDecue00k76lGtcrE3OM2WN1TZ2SeocT53IMuej3EaxU-IhbFWryu8BE5E30pWlKI1C9JCYXDoeax8r7xLcCwfwEme-aFXnoqh3JUIVLb8K4lfR8CuAF0S6bupwXE_JO0YWti12Tj03vl9_06v-phv9xyFJSE9KhbrrH1B6i1bvi8wZY8uozF2OW9lEZSkaFAQITmclj5wPYL-Trz9TwKVQuNVEMB_As34Y9Z4Oc3TlV5cNjcDNLc8CeNSIY_8mnVAHkA4EdfCqw5Hq_GtdWzyVUqAJeHzjmX4Cu5xcEBEtuPuwtflx6Z8iTtuYMYzSRTqudXQM2wdH0-ln_DyczD5-Gte-D7y-W8R4ncrsN6EpPTM |
| linkProvider | BMJ Publishing Group Ltd |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKKwEXxJtAASOB4EDUxHacBAkhSrfape0Koa3UW-pXliI2Cd2tUH8D_4XfyExeZRFacekxsZNYmfHMN-N5EPJcREYx4aSfRi5Hb1Xow3Xgg3aKReQM6hSMthjL4aH4eBQdrZFfXS4MhlV2MrEW1LY06CPfYoJLgN8AcN5V333sGoWnq10LjYYt9tz5DzDZ5m9HO0DfF4ztDiYfhn7bVcDXwJ0LP7dSpFoZLVLGDOfOMGuVVFa4mCmQQzpliTTaKBPaKLaWxZYniXVBaoLQSg7vvUI2cDkgCDa2B-NPn3uvDgCkNIpYW94o5HJLz75iHyzgRswW4iKuGyPB3SVFWPcL-BfI_TtW8w_lt3uT3GhRK33fsNktsuaK2-TqQXsuf4f8nDXpTFRVFcVQ-imd1VGajrZtKaZ0UdKTAjHq3NGq5Q6KaRXYvQKGaOcGpqqwtI_QLd7QLnuT1i1GKJaWKIF_KeBtCviV7oxAc4wnA4pBked3yeGlEOQeWS_Kwj0glAdOC5vnPNcSkEqkU2FZqFwonY3A7vbIK_jzWbtN51ltAXGZtUTKkEhZQySPvMSpVVPzY_VM1hEyM21hdezv8W31Q6_7h_7rG9vIIf1ULApe3yhPp1krY7LEam3yIE9tCmZzJJMYlBeAEauSnAXWeWSz46-LX3CxrzzyrB8GGYMHR6pw5Vkzh4MhzRKP3G_YsV8Jx5PYNAk9Ei8x6tJSl0eKky91HfNYCA7q5uHqZT0l14aTg_1sfzTee0SuM_R3BCjdN8n64vTMPQZQuNBP2p1IyfFlb_7fHsZ6Mw |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLbGkCZeEHcCA4wEggeiJbbjJEgIAV21Mqh42KS-Bd9SNq1JWTuh_Qb-Eb-OcxInowhVvOwxsZNYObfPx-dCyDORGMWEk2GeuBK9VXEI11EI1ikViTNoUzDaYiz3DsXHSTLZIL-6XBgMq-x0YqOobW3QR77DBJcAv7EKYunDIr4Mhm_n30PsIIUnrV07jZZF9t35D9i-Ld6MBkDr54wNdw8-7IW-w0CogVOXYWmlyLUyWuSMGc6dYdYqqaxwKVOgk3TOMmm0USa2SWotSy3PMuui3ESxlRzee4VcTXkSo4ylk7T37wBUypOE-UJHMZc7enaMHbGALzFviIu0aZEEd1dMYtM54F9w9--ozT_M4PAGue7xK33XMtxNsuGqW2Trsz-hv01-ztrEJqrmc4pB9VM6a-I1HfUNKqZ0WdOjCtHqwtG55xOKCRbYxwKGaOcQpqqytI_VrV7TLo-TNs1GKBaZqIGTKSBvCkiWDkZgQ8YHuxTDI8_vkMNLIcddslnVlbtPKI-cFrYseaklYJZE58KyWLlYOgvEYgF5CX--8AK7KJq9EJeFJ1KBRCpaIgXkBU6dt9U_1s9kHSEL40usY6ePk_UPveof-q9vvEcO6adiefDmRn06Lby2KTKrtSmjMrc5bKATmaVgxgCWWJWVLLIuINsdf138ggsJC8jTfhi0DR4hqcrVZ-0cDltqlgXkXsuO_Uo4nsnmWRyQdIVRV5a6OlIdfWsqmqdCcDA8D9Yv6wnZApEvPo3G-w_JNYaOjwjV_DbZXJ6euUeADpf6cSOGlHy9bLn_DSlyfQM |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=mHealth+app+using+machine+learning+to+increase+physical+activity+in+diabetes+and+depression%3A+clinical+trial+protocol+for+the+DIAMANTE+Study&rft.jtitle=BMJ+open&rft.au=Aguilera%2C+Adrian&rft.au=Figueroa%2C+Caroline+A&rft.au=Hernandez-Ramos%2C+Rosa&rft.au=Sarkar%2C+Urmimala&rft.series=Protocol&rft.date=2020-08-20&rft.pub=BMJ+Publishing+Group&rft.eissn=2044-6055&rft.volume=10&rft.issue=8&rft_id=info:doi/10.1136%2Fbmjopen-2019-034723&rft_id=info%3Apmid%2F32819981&rft.externalDocID=PMC7443305 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2044-6055&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2044-6055&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2044-6055&client=summon |