Birjand longitudinal aging study (BLAS): the objectives, study protocol and design (wave I: baseline data gathering)
Objectives The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health...
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Published in | Journal of diabetes and metabolic disorders Vol. 19; no. 1; pp. 551 - 559 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.06.2020
BioMed Central Ltd Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Abstract | Objectives
The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the
functional
ability of
older adults.
Methods
This is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in − 80 °C. then finally biochemical and hematologic markers were measured.
Results
This is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected.
Conclusions
This study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels. |
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AbstractList | The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults.OBJECTIVESThe pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults.This is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in - 80 °C. then finally biochemical and hematologic markers were measured.METHODSThis is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in - 80 °C. then finally biochemical and hematologic markers were measured.This is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected.RESULTSThis is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected.This study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels.CONCLUSIONSThis study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels. The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the ability of This is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in - 80 °C. then finally biochemical and hematologic markers were measured. This is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected. This study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels. Objectives The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults. Methods This is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population [greater than or equai to] 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in - 80 [degrees]C. then finally biochemical and hematologic markers were measured. Results This is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample [greater than or equai to] 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected. Conclusions This study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels. Keywords: Aged, Geriatric syndromes, Cognitive status, Functional assessment, Study profile Objectives The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults. Methods This is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in − 80 °C. then finally biochemical and hematologic markers were measured. Results This is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected. Conclusions This study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels. ObjectivesThe pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults.MethodsThis is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in − 80 °C. then finally biochemical and hematologic markers were measured.ResultsThis is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected.ConclusionsThis study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels. |
Audience | General |
Author | Norouzpour, Amir Khodbakhshi, Huriye Yaghoobi, Gholam Hossain Khorashadizadeh, Masoumeh Ghaemi, Kazem Sharifi, Ali Kazemi, Tooba Arzaghi, Seyed Masoud Zarban, Asghar Ebrahimpur, Mahbube Ahmadi, Zahra Sharifzadeh, Gholamreza Hosseinirad, Seyed Abbas Nikandish, Malihe Larijan, Bagher Miri, Mohammad Reza Hosseini, Motahareh Sheikh Moodi, Mitra Firoozabadi, Mohammad Dehghani Mohammadifard, Mahyar Soltani, Huriye Davari, Mohamad Hossein Mehdizadeh, Kambiz Mohtashami, Somayeh Heydari, Behroz Mirimoghadam, Ebrahim Ehsanbakhsh, Alireza Esmaeili, Aliakbar Ahmadi, Galileh Naseri, Saeed Payab, Moloud Fakhrzadeh, Hosein Sharifi, Farshad |
Author_xml | – sequence: 1 givenname: Mitra surname: Moodi fullname: Moodi, Mitra organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences, School of Health, Birjand University of Medical Sciences – sequence: 2 givenname: Mohammad Dehghani surname: Firoozabadi fullname: Firoozabadi, Mohammad Dehghani organization: Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, School of Medicine, Birjand University of Medical Sciences – sequence: 3 givenname: Tooba surname: Kazemi fullname: Kazemi, Tooba organization: Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, School of Medicine, Birjand University of Medical Sciences – sequence: 4 givenname: Moloud surname: Payab fullname: Payab, Moloud organization: Obesity and Eating Habits Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences – sequence: 5 givenname: Kazem surname: Ghaemi fullname: Ghaemi, Kazem organization: Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, Cellular and Molecular Research Center, Birjand University of Medical Sciences – sequence: 6 givenname: Mohammad Reza surname: Miri fullname: Miri, Mohammad Reza organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences, School of Health, Birjand University of Medical Sciences – sequence: 7 givenname: Gholamreza surname: Sharifzadeh fullname: Sharifzadeh, Gholamreza organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences, School of Health, Birjand University of Medical Sciences – sequence: 8 givenname: Hosein surname: Fakhrzadeh fullname: Fakhrzadeh, Hosein organization: Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences – sequence: 9 givenname: Mahbube surname: Ebrahimpur fullname: Ebrahimpur, Mahbube organization: Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences – sequence: 10 givenname: Seyed Masoud surname: Arzaghi fullname: Arzaghi, Seyed Masoud organization: Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences – sequence: 11 givenname: Asghar surname: Zarban fullname: Zarban, Asghar organization: Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, School of Medicine, Birjand University of Medical Sciences – sequence: 12 givenname: Ebrahim surname: Mirimoghadam fullname: Mirimoghadam, Ebrahim organization: Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, School of Medicine, Birjand University of Medical Sciences – sequence: 13 givenname: Ali surname: Sharifi fullname: Sharifi, Ali organization: Department of Computer Sciences, Shahid Behesthi University – sequence: 14 givenname: Motahareh Sheikh surname: Hosseini fullname: Hosseini, Motahareh Sheikh organization: Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences – sequence: 15 givenname: Aliakbar surname: Esmaeili fullname: Esmaeili, Aliakbar organization: School of Medicine, Birjand University of Medical Sciences, Medical Toxicology & Drug Abuse Research Center, Birjand University of Medical Sciences – sequence: 16 givenname: Mahyar surname: Mohammadifard fullname: Mohammadifard, Mahyar organization: School of Medicine, Birjand University of Medical Sciences – sequence: 17 givenname: Alireza surname: Ehsanbakhsh fullname: Ehsanbakhsh, Alireza organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences, School of Medicine, Birjand University of Medical Sciences – sequence: 18 givenname: Zahra surname: Ahmadi fullname: Ahmadi, Zahra organization: School of Medicine, Birjand University of Medical Sciences – sequence: 19 givenname: Gholam Hossain surname: Yaghoobi fullname: Yaghoobi, Gholam Hossain organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences, School of Medicine, Birjand University of Medical Sciences – sequence: 20 givenname: Seyed Abbas surname: Hosseinirad fullname: Hosseinirad, Seyed Abbas organization: School of Medicine, Birjand University of Medical Sciences – sequence: 21 givenname: Mohamad Hossein surname: Davari fullname: Davari, Mohamad Hossein organization: Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, School of Medicine, Birjand University of Medical Sciences – sequence: 22 givenname: Behroz surname: Heydari fullname: Heydari, Behroz organization: School of Medicine, Birjand University of Medical Sciences – sequence: 23 givenname: Malihe surname: Nikandish fullname: Nikandish, Malihe organization: School of Medicine, Birjand University of Medical Sciences – sequence: 24 givenname: Amir surname: Norouzpour fullname: Norouzpour, Amir organization: School of Medicine, Birjand University of Medical Sciences – sequence: 25 givenname: Saeed surname: Naseri fullname: Naseri, Saeed organization: Cellular and Molecular Research Center, Birjand University of Medical Sciences – sequence: 26 givenname: Masoumeh surname: Khorashadizadeh fullname: Khorashadizadeh, Masoumeh organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences – sequence: 27 givenname: Somayeh surname: Mohtashami fullname: Mohtashami, Somayeh organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences – sequence: 28 givenname: Kambiz surname: Mehdizadeh fullname: Mehdizadeh, Kambiz organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences – sequence: 29 givenname: Galileh surname: Ahmadi fullname: Ahmadi, Galileh organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences – sequence: 30 givenname: Huriye surname: Soltani fullname: Soltani, Huriye organization: Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences – sequence: 31 givenname: Huriye surname: Khodbakhshi fullname: Khodbakhshi, Huriye email: huriye.khodabakhshi@gmail.com organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences – sequence: 32 givenname: Farshad orcidid: 0000-0002-2035-6587 surname: Sharifi fullname: Sharifi, Farshad email: farshad.sharifi@gmail.com organization: Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences – sequence: 33 givenname: Bagher surname: Larijan fullname: Larijan, Bagher organization: Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32550207$$D View this record in MEDLINE/PubMed |
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PublicationTitle | Journal of diabetes and metabolic disorders |
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References | FerrariAJBurden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010PLoS Med2013101110.1371/journal.pmed.1001547 Amirkalali B, Sharifi F, Fakhrzadeh H, Mirarefin M, Ghaderpanahi M, Larijani B. Evaluation of the mini nutritional assessment in the elderly, Tehran. Iran Public Health Nutr. 2010;13(9):1373–9. IkramMAThe Rotterdam study: 2018 update on objectives, design and main resultsEur J Epidemiol201732980785010.1007/s10654-017-0321-4 ChristensenKDoblhammerGRauRVaupelJWAgeing populations: the challenges aheadLancet200937496961196120810.1016/S0140-6736(09)61460-4 CamiciGGMolecular mechanism of endothelial and vascular aging: implications for cardiovascular diseaseEur Heart J20153648339234031:CAS:528:DC%2BC1cXpsFCmuw%3D%3D10.1093/eurheartj/ehv587 DonoghueOACohort Profile Update: The Irish Longitudinal Study on Ageing (TILDA)Int J Epidemiol201847513981398l10.1093/ije/dyy163 Hayat SA, Luben R, Keevil VL, Moore S, Dalzell N, Bhaniani A, et al. Cohort profile: a prospective cohort study of objective physical and cognitive capability and visual health in an ageing population of men and women in Norfolk (EPIC-Norfolk 3). Int J Epidemiol. 2014;43(4):1063–72. PrinceMThe global prevalence of dementia: a systematic review and metaanalysisAlzheimers Dement2013916375.e210.1016/j.jalz.2012.11.007 Heidenreich PA, Trogdon JG, Khavjou OA, Butler J, Dracup K, Ezekowitz MD, et al. Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation. 2011;123(8):933–44. Newman AB, Naydeck BL, Ives DG, Boudreau RM, Sutton-Tyrrell K, O'Leary DH, et al. Coronary artery calcium, carotid artery wall thickness, and cardiovascular disease outcomes in adults 70 to 99 years old. Am J Cardiol. 2008;101(2):186–92. Ardestani, M.S., et al., Validation of Persian version of PHQ-9 for diagnosis of major depressive episode in psychiatric wards in IRAN. 2019. 5(2): p. 1–8. ForoughanMWahlundLOJafariZRahgozarMFarahaniIGRashediVValidity and reliability of abbreviated mental test score (AMTS) among older IranianPsychogeriatrics201717646046510.1111/psyg.12276 AnsariNNNaghdiSHassonSValizadehLJalaieSValidation of a mini-mental state examination (MMSE) for the Persian population: a pilot studyAppl Neuropsychol201017319019510.1080/09084282.2010.499773 PaneniFDiaz CañestroCLibbyPLüscherTFCamiciGGThe aging cardiovascular system: understanding it at the cellular and clinical levelsJ Am Coll Cardiol201769151952196710.1016/j.jacc.2017.01.064 Kuller LH, Lopez OL, Mackey RH, Rosano C, Edmundowicz D, Becker JT, et al. Subclinical cardiovascular disease and death, dementia, and coronary heart disease in patients 80+ years. J Am Coll Cardiol. 2016;67(9):1013–22. Xiao S, Li J, Tang M, Chen W, Bao F, Wang H, et al. Methodology of China's national study on the evaluation, early recognition, and treatment of psychological problems in the elderly: the China longitudinal aging study (CLAS). Shanghai Arch Psychiatry. 2013;25(2):91–8. GuigozYVellasBGarryPJAssessing the nutritional status of the elderly: the mini nutritional assessment as part of the geriatric evaluationNutr Rev1996541 Pt 2S59S651:STN:280:DyaK2s%2FnslWiug%3D%3D8919685 Statistical Center of Iran, I.R.o.I., Selected Findings of the 2016 National Population and Housing Census, [updated 2018 Aug] Available from: https://www.amar.org.ir/portals/0/census/1395/results/g_sarshomari-95.pdf. 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Available from: https://www.alz.co.uk/research/statistics. GrafCThe Lawton instrumental activities of daily living (IADL) scaleMedsurg Nurs200817534334419051984 SiebelingLWiebersSBeemLPuhanMAter RietGValidity and reproducibility of a physical activity questionnaire for older adults: questionnaire versus accelerometer for assessing physical activity in older adultsClin Epidemiol2012417118010.2147/CLEP.S30848 FreedmanVAMartinLGSchoeniRFRecent trends in disability and functioning among older adults in the United States: a systematic reviewJama2002288243137314610.1001/jama.288.24.3137 KovacicJCMorenoPNabelEGHachinskiVFusterVCellular senescence, vascular disease, and aging: part 2 of a 2-part review: clinical vascular disease in the elderlyCirculation2011123171900191010.1161/CIRCULATIONAHA.110.009118 HormoziSIranian version of Barthel index: validity and reliability in Outpatients' elderlyInt J Prev Med20191013010.4103/ijpvm.IJPVM_579_18 Ardila, A., F. Ostrosky-Solís, and B.J.I.J.O.P. Bernal, Cognitive testing toward the future: The example of Semantic Verbal Fluency (ANIMALS) 2006. 41(5): p. 324–332. Centers for Disease Control and Prevention, U., National Health and Nutriton Examination Survey (NHNES) Anthropometry Procedures Manual,January 2007. Available from: https://www.cdc.gov/nchs/data/nhanes/nhanes_07_08/manual_an.pdf Angeles, L.J.J.O.P.E., Demographic transitions: analyzing the effects of mortality on fertility. 2010. 23(1): p. 99–120. LevisBBenedettiAThombsBDAccuracy of patient health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysisBmj2019365l147610.1136/bmj.l1476 KirkwoodTBSystems biology of ageing and longevityPhilos Trans R Soc Lond Ser B Biol Sci20113661561647010.1098/rstb.2010.0275 MajediHValidation of the Persian Version of the Brief Pain Inventory (BPI-P) in Chronic Pain PatientsJ Pain Symptom Manage2017541132138.e210.1016/j.jpainsymman.2017.02.017 BarerMLAging and health care utilization: new evidence on old fallaciesSoc Sci Med198724108518621:STN:280:DyaL2s3pt1agsQ%3D%3D10.1016/0277-9536(87)90186-9 A Montazeri (504_CR37) 2009; 9 504_CR18 M Dadfar (504_CR31) 2018; 40 504_CR17 504_CR16 504_CR2 M Asadi-Lari (504_CR26) 2016; 30 504_CR1 K Christensen (504_CR3) 2009; 374 ML Barer (504_CR4) 1987; 24 504_CR14 AJ Ferrari (504_CR19) 2013; 10 504_CR13 504_CR12 504_CR11 504_CR32 S Hormozi (504_CR35) 2019; 10 H Majedi (504_CR36) 2017; 54 DT Wade (504_CR33) 1988; 10 MJ Kaiser (504_CR39) 2009; 13 VA Freedman (504_CR7) 2002; 288 M Foroughan (504_CR27) 2017; 17 GG Camici (504_CR10) 2015; 36 504_CR29 L Siebeling (504_CR24) 2012; 4 504_CR25 Y Guigoz (504_CR38) 1996; 54 JC Kovacic (504_CR8) 2011; 123 504_CR21 504_CR20 504_CR41 OA Donoghue (504_CR22) 2018; 47 504_CR40 M Prince (504_CR15) 2013; 9 MA Ikram (504_CR23) 2017; 32 F Paneni (504_CR5) 2017; 69 NN Ansari (504_CR28) 2010; 17 TB Kirkwood (504_CR6) 2011; 366 B Levis (504_CR30) 2019; 365 C Graf (504_CR34) 2008; 17 504_CR9 |
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Int J Epidemiol. 2014;43(4):1063–72. – reference: BarerMLAging and health care utilization: new evidence on old fallaciesSoc Sci Med198724108518621:STN:280:DyaL2s3pt1agsQ%3D%3D10.1016/0277-9536(87)90186-9 – reference: Centers for Disease Control and Prevention, U., National Health and Nutriton Examination Survey (NHNES) Anthropometry Procedures Manual,January 2007. Available from: https://www.cdc.gov/nchs/data/nhanes/nhanes_07_08/manual_an.pdf – reference: Xiao S, Li J, Tang M, Chen W, Bao F, Wang H, et al. Methodology of China's national study on the evaluation, early recognition, and treatment of psychological problems in the elderly: the China longitudinal aging study (CLAS). 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J Am Coll Cardiol. 2016;67(9):1013–22. – reference: Alzheimer’s disease International, L., Dementia statistics,[updated 2019 Sep 1]. Available from: https://www.alz.co.uk/research/statistics. – reference: DadfarMKalibatsevaZLesterDReliability and validity of the Farsi version of the patient health Questionnaire-9 (PHQ-9) with Iranian psychiatric outpatientsTrends Psychiatry Psychother201840214415110.1590/2237-6089-2017-0116 – reference: MontazeriAThe Iranian version of 12-item short form health survey (SF-12): factor structure, internal consistency and construct validityBMC Public Health2009934110.1186/1471-2458-9-341 – reference: Xu, J., et al., Global and regional economic costs of dementia: a systematic review. 2017. 390: p. S47. – reference: IkramMAThe Rotterdam study: 2018 update on objectives, design and main resultsEur J Epidemiol201732980785010.1007/s10654-017-0321-4 – reference: Maggio, M. and F. Lauretani, Prevalence, incidence, and clinical impact of cognitive-motoric risk syndrome in Europe, USA, and Japan: facts and numbers update 2019. J Cachexia Sarcopenia Muscle, 2019. – reference: FerrariAJBurden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010PLoS Med2013101110.1371/journal.pmed.1001547 – reference: Newman AB, Naydeck BL, Ives DG, Boudreau RM, Sutton-Tyrrell K, O'Leary DH, et al. Coronary artery calcium, carotid artery wall thickness, and cardiovascular disease outcomes in adults 70 to 99 years old. Am J Cardiol. 2008;101(2):186–92. – reference: Angeles, L.J.J.O.P.E., Demographic transitions: analyzing the effects of mortality on fertility. 2010. 23(1): p. 99–120. – reference: GuigozYVellasBGarryPJAssessing the nutritional status of the elderly: the mini nutritional assessment as part of the geriatric evaluationNutr Rev1996541 Pt 2S59S651:STN:280:DyaK2s%2FnslWiug%3D%3D8919685 – reference: LevisBBenedettiAThombsBDAccuracy of patient health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysisBmj2019365l147610.1136/bmj.l1476 – reference: DonoghueOACohort Profile Update: The Irish Longitudinal Study on Ageing (TILDA)Int J Epidemiol201847513981398l10.1093/ije/dyy163 – reference: Asadi-LariMIdentifying associated factors with social capital using path analysis: a population-based survey in Tehran, Iran (urban HEART-2)Med J Islam Repub Iran201630414282105795307624 – reference: Ardila, A., F. Ostrosky-Solís, and B.J.I.J.O.P. Bernal, Cognitive testing toward the future: The example of Semantic Verbal Fluency (ANIMALS) 2006. 41(5): p. 324–332. – reference: Shiani, M., M.T. Mousavi, and H.J.I.E.R. Zare, The measurement of social capital in Tehran 2017. 21(2): p. 431–447. – reference: Ardestani, M.S., et al., Validation of Persian version of PHQ-9 for diagnosis of major depressive episode in psychiatric wards in IRAN. 2019. 5(2): p. 1–8. – reference: FreedmanVAMartinLGSchoeniRFRecent trends in disability and functioning among older adults in the United States: a systematic reviewJama2002288243137314610.1001/jama.288.24.3137 – reference: Statistical Center of Iran, I.R.o.I., Selected Findings of the 2016 National Population and Housing Census, [updated 2018 Aug] Available from: https://www.amar.org.ir/portals/0/census/1395/results/g_sarshomari-95.pdf. – reference: KaiserMJValidation of the mini nutritional assessment short-form (MNA-SF): a practical tool for identification of nutritional statusJ Nutr Health Aging20091397827881:STN:280:DC%2BD1MnnslWltA%3D%3D10.1007/s12603-009-0214-7 – reference: AnsariNNNaghdiSHassonSValizadehLJalaieSValidation of a mini-mental state examination (MMSE) for the Persian population: a pilot studyAppl Neuropsychol201017319019510.1080/09084282.2010.499773 – volume: 10 start-page: 130 year: 2019 ident: 504_CR35 publication-title: Int J Prev Med doi: 10.4103/ijpvm.IJPVM_579_18 – volume: 288 start-page: 3137 issue: 24 year: 2002 ident: 504_CR7 publication-title: Jama doi: 10.1001/jama.288.24.3137 – ident: 504_CR13 doi: 10.1161/CIR.0b013e31820a55f5 – volume: 69 start-page: 1952 issue: 15 year: 2017 ident: 504_CR5 publication-title: J Am Coll Cardiol doi: 10.1016/j.jacc.2017.01.064 – volume: 366 start-page: 64 issue: 1561 year: 2011 ident: 504_CR6 publication-title: Philos Trans R Soc Lond Ser B Biol Sci doi: 10.1098/rstb.2010.0275 – ident: 504_CR17 doi: 10.1002/jcsm.12476 – ident: 504_CR16 – ident: 504_CR18 – volume: 374 start-page: 1196 issue: 9696 year: 2009 ident: 504_CR3 publication-title: Lancet doi: 10.1016/S0140-6736(09)61460-4 – ident: 504_CR14 – volume: 17 start-page: 343 issue: 5 year: 2008 ident: 504_CR34 publication-title: Medsurg Nurs – volume: 54 start-page: S59 issue: 1 Pt 2 year: 1996 ident: 504_CR38 publication-title: Nutr Rev – volume: 10 issue: 11 year: 2013 ident: 504_CR19 publication-title: PLoS Med doi: 10.1371/journal.pmed.1001547 – volume: 24 start-page: 851 issue: 10 year: 1987 ident: 504_CR4 publication-title: Soc Sci Med doi: 10.1016/0277-9536(87)90186-9 – ident: 504_CR25 – volume: 13 start-page: 782 issue: 9 year: 2009 ident: 504_CR39 publication-title: J Nutr Health Aging doi: 10.1007/s12603-009-0214-7 – ident: 504_CR9 doi: 10.1016/S0140-6736(17)33185-9 – volume: 32 start-page: 807 issue: 9 year: 2017 ident: 504_CR23 publication-title: Eur J Epidemiol doi: 10.1007/s10654-017-0321-4 – volume: 123 start-page: 1900 issue: 17 year: 2011 ident: 504_CR8 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.110.009118 – volume: 4 start-page: 171 year: 2012 ident: 504_CR24 publication-title: Clin Epidemiol doi: 10.2147/CLEP.S30848 – ident: 504_CR40 doi: 10.1017/S1368980010000303 – volume: 54 start-page: 132 issue: 1 year: 2017 ident: 504_CR36 publication-title: J Pain Symptom Manage doi: 10.1016/j.jpainsymman.2017.02.017 – ident: 504_CR11 doi: 10.1016/j.jacc.2015.12.034 – volume: 9 start-page: 63 issue: 1 year: 2013 ident: 504_CR15 publication-title: Alzheimers Dement doi: 10.1016/j.jalz.2012.11.007 – ident: 504_CR21 – ident: 504_CR29 doi: 10.1080/00207590500345542 – volume: 40 start-page: 144 issue: 2 year: 2018 ident: 504_CR31 publication-title: Trends Psychiatry Psychother doi: 10.1590/2237-6089-2017-0116 – volume: 17 start-page: 460 issue: 6 year: 2017 ident: 504_CR27 publication-title: Psychogeriatrics doi: 10.1111/psyg.12276 – volume: 30 start-page: 414 year: 2016 ident: 504_CR26 publication-title: Med J Islam Repub Iran – volume: 365 start-page: l1476 year: 2019 ident: 504_CR30 publication-title: Bmj doi: 10.1136/bmj.l1476 – volume: 10 start-page: 64 issue: 2 year: 1988 ident: 504_CR33 publication-title: Int Disabil Stud doi: 10.3109/09638288809164105 – ident: 504_CR12 doi: 10.1016/j.amjcard.2007.07.075 – ident: 504_CR32 – volume: 47 start-page: 1398 issue: 5 year: 2018 ident: 504_CR22 publication-title: Int J Epidemiol doi: 10.1093/ije/dyy163 – ident: 504_CR1 doi: 10.1007/s00148-009-0255-6 – volume: 9 start-page: 341 year: 2009 ident: 504_CR37 publication-title: BMC Public Health doi: 10.1186/1471-2458-9-341 – volume: 17 start-page: 190 issue: 3 year: 2010 ident: 504_CR28 publication-title: Appl Neuropsychol doi: 10.1080/09084282.2010.499773 – ident: 504_CR2 doi: 10.1093/ije/dyt086 – ident: 504_CR41 – volume: 36 start-page: 3392 issue: 48 year: 2015 ident: 504_CR10 publication-title: Eur Heart J doi: 10.1093/eurheartj/ehv587 – ident: 504_CR20 |
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The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including... The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric... Objectives The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including... ObjectivesThe pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including... |
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SubjectTerms | Aging Blood banks Cardiovascular diseases Cognitive ability Cohort analysis Data entry Dementia Dementia disorders Diabetes Electrocardiogram Electrocardiography Endocrinology Gerontology Health aspects Medicine Medicine & Public Health Metabolic Diseases Older people Quality of life Risk factors Rural areas Rural health Scientists Study Protocol Urban areas |
Title | Birjand longitudinal aging study (BLAS): the objectives, study protocol and design (wave I: baseline data gathering) |
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