Association between dietary anthocyanidins intake and depression among US adults: a cross-sectional study (NHANES, 2007-2010 and 2017-2018)
Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological activity. However, the correlation between the consumption of anthocyanidins through diet and its impact on depression has yet to be investigated. This study u...
Saved in:
Published in | BMC psychiatry Vol. 23; no. 1; p. 525 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
20.07.2023
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological activity. However, the correlation between the consumption of anthocyanidins through diet and its impact on depression has yet to be investigated.
This study utilized the Food and Nutrient Database for Dietary Studies (FNDDS) expanded flavonoid intake database, as well as data from the National Health and Nutrition Examination Survey (NHANES) from the years 2007 to 2010 and 2017 to 2018. The analysis of the collected data was conducted in R, following the guidelines outlined in the official NHANES user guide "Stratified Multi-stage Probability Sampling". Three different models were developed using logistic regression to assess the protective effects of T3 (representing the highest intake of anthocyanidins) against depression. Additionally, the study aimed to investigate whether there existed a non-linear relationship between the dietary intake of anthocyanidins and the prevalence of depression by employing restricted cubic spline (RCS) analysis.
A total of 6,845 eligible participants were included in this cross-sectional study, with their data appropriately weighted to represent a population of 89.8 million people in the United States of America. The results demonstrated that individuals diagnosed with depression had a significantly lower dietary intake of anthocyanidins compared to those without depression (P < 0.0001). Moreover, significant differences were observed among different participant groups regarding socioeconomic status and the presence of chronic physical illnesses (such as hypertension, glucose status, and chronic kidney disease risk, etc.) (P < 0.05). After adjustment for covariates, participants with the highest intake of anthocyanins (T3) demonstrated a significantly reduced risk of depression [OR
= 0.67, 95%CI: (0.48-0.95), (P
= 0.02]. Furthermore, the RCS analysis revealed a significant linear relationship between dietary anthocyanidin intake and depression (P for non-linear = 0.5876).
Our findings reveal a negative association between dietary anthocyanidin intake and depression. |
---|---|
AbstractList | BackgroundAnthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological activity. However, the correlation between the consumption of anthocyanidins through diet and its impact on depression has yet to be investigated.MethodsThis study utilized the Food and Nutrient Database for Dietary Studies (FNDDS) expanded flavonoid intake database, as well as data from the National Health and Nutrition Examination Survey (NHANES) from the years 2007 to 2010 and 2017 to 2018. The analysis of the collected data was conducted in R, following the guidelines outlined in the official NHANES user guide “Stratified Multi-stage Probability Sampling”. Three different models were developed using logistic regression to assess the protective effects of T3 (representing the highest intake of anthocyanidins) against depression. Additionally, the study aimed to investigate whether there existed a non-linear relationship between the dietary intake of anthocyanidins and the prevalence of depression by employing restricted cubic spline (RCS) analysis.ResultsA total of 6,845 eligible participants were included in this cross-sectional study, with their data appropriately weighted to represent a population of 89.8 million people in the United States of America. The results demonstrated that individuals diagnosed with depression had a significantly lower dietary intake of anthocyanidins compared to those without depression (P< 0.0001). Moreover, significant differences were observed among different participant groups regarding socioeconomic status and the presence of chronic physical illnesses (such as hypertension, glucose status, and chronic kidney disease risk, etc.) (P< 0.05). After adjustment for covariates, participants with the highest intake of anthocyanins (T3) demonstrated a significantly reduced risk of depression [ORT3 = 0.67, 95%CI: (0.48–0.95), (Ptrend= 0.02]. Furthermore, the RCS analysis revealed a significant linear relationship between dietary anthocyanidin intake and depression (P for non-linear = 0.5876).ConclusionOur findings reveal a negative association between dietary anthocyanidin intake and depression. Abstract Background Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological activity. However, the correlation between the consumption of anthocyanidins through diet and its impact on depression has yet to be investigated. Methods This study utilized the Food and Nutrient Database for Dietary Studies (FNDDS) expanded flavonoid intake database, as well as data from the National Health and Nutrition Examination Survey (NHANES) from the years 2007 to 2010 and 2017 to 2018. The analysis of the collected data was conducted in R, following the guidelines outlined in the official NHANES user guide “Stratified Multi-stage Probability Sampling”. Three different models were developed using logistic regression to assess the protective effects of T3 (representing the highest intake of anthocyanidins) against depression. Additionally, the study aimed to investigate whether there existed a non-linear relationship between the dietary intake of anthocyanidins and the prevalence of depression by employing restricted cubic spline (RCS) analysis. Results A total of 6,845 eligible participants were included in this cross-sectional study, with their data appropriately weighted to represent a population of 89.8 million people in the United States of America. The results demonstrated that individuals diagnosed with depression had a significantly lower dietary intake of anthocyanidins compared to those without depression (P < 0.0001). Moreover, significant differences were observed among different participant groups regarding socioeconomic status and the presence of chronic physical illnesses (such as hypertension, glucose status, and chronic kidney disease risk, etc.) (P < 0.05). After adjustment for covariates, participants with the highest intake of anthocyanins (T3) demonstrated a significantly reduced risk of depression [ORT3 = 0.67, 95%CI: (0.48–0.95), (P trend= 0.02]. Furthermore, the RCS analysis revealed a significant linear relationship between dietary anthocyanidin intake and depression (P for non-linear = 0.5876). Conclusion Our findings reveal a negative association between dietary anthocyanidin intake and depression. Abstract Background Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological activity. However, the correlation between the consumption of anthocyanidins through diet and its impact on depression has yet to be investigated. Methods This study utilized the Food and Nutrient Database for Dietary Studies (FNDDS) expanded flavonoid intake database, as well as data from the National Health and Nutrition Examination Survey (NHANES) from the years 2007 to 2010 and 2017 to 2018. The analysis of the collected data was conducted in R, following the guidelines outlined in the official NHANES user guide “Stratified Multi-stage Probability Sampling”. Three different models were developed using logistic regression to assess the protective effects of T3 (representing the highest intake of anthocyanidins) against depression. Additionally, the study aimed to investigate whether there existed a non-linear relationship between the dietary intake of anthocyanidins and the prevalence of depression by employing restricted cubic spline (RCS) analysis. Results A total of 6,845 eligible participants were included in this cross-sectional study, with their data appropriately weighted to represent a population of 89.8 million people in the United States of America. The results demonstrated that individuals diagnosed with depression had a significantly lower dietary intake of anthocyanidins compared to those without depression ( P < 0.0001). Moreover, significant differences were observed among different participant groups regarding socioeconomic status and the presence of chronic physical illnesses (such as hypertension, glucose status, and chronic kidney disease risk, etc.) ( P < 0.05). After adjustment for covariates, participants with the highest intake of anthocyanins (T3) demonstrated a significantly reduced risk of depression [OR T3 = 0.67, 95%CI: (0.48–0.95), ( P trend = 0.02]. Furthermore, the RCS analysis revealed a significant linear relationship between dietary anthocyanidin intake and depression ( P for non-linear = 0.5876). Conclusion Our findings reveal a negative association between dietary anthocyanidin intake and depression. Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological activity. However, the correlation between the consumption of anthocyanidins through diet and its impact on depression has yet to be investigated. This study utilized the Food and Nutrient Database for Dietary Studies (FNDDS) expanded flavonoid intake database, as well as data from the National Health and Nutrition Examination Survey (NHANES) from the years 2007 to 2010 and 2017 to 2018. The analysis of the collected data was conducted in R, following the guidelines outlined in the official NHANES user guide "Stratified Multi-stage Probability Sampling". Three different models were developed using logistic regression to assess the protective effects of T3 (representing the highest intake of anthocyanidins) against depression. Additionally, the study aimed to investigate whether there existed a non-linear relationship between the dietary intake of anthocyanidins and the prevalence of depression by employing restricted cubic spline (RCS) analysis. A total of 6,845 eligible participants were included in this cross-sectional study, with their data appropriately weighted to represent a population of 89.8 million people in the United States of America. The results demonstrated that individuals diagnosed with depression had a significantly lower dietary intake of anthocyanidins compared to those without depression (P < 0.0001). Moreover, significant differences were observed among different participant groups regarding socioeconomic status and the presence of chronic physical illnesses (such as hypertension, glucose status, and chronic kidney disease risk, etc.) (P < 0.05). After adjustment for covariates, participants with the highest intake of anthocyanins (T3) demonstrated a significantly reduced risk of depression [OR = 0.67, 95%CI: (0.48-0.95), (P = 0.02]. Furthermore, the RCS analysis revealed a significant linear relationship between dietary anthocyanidin intake and depression (P for non-linear = 0.5876). Our findings reveal a negative association between dietary anthocyanidin intake and depression. Background Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological activity. However, the correlation between the consumption of anthocyanidins through diet and its impact on depression has yet to be investigated. Methods This study utilized the Food and Nutrient Database for Dietary Studies (FNDDS) expanded flavonoid intake database, as well as data from the National Health and Nutrition Examination Survey (NHANES) from the years 2007 to 2010 and 2017 to 2018. The analysis of the collected data was conducted in R, following the guidelines outlined in the official NHANES user guide "Stratified Multi-stage Probability Sampling". Three different models were developed using logistic regression to assess the protective effects of T3 (representing the highest intake of anthocyanidins) against depression. Additionally, the study aimed to investigate whether there existed a non-linear relationship between the dietary intake of anthocyanidins and the prevalence of depression by employing restricted cubic spline (RCS) analysis. Results A total of 6,845 eligible participants were included in this cross-sectional study, with their data appropriately weighted to represent a population of 89.8 million people in the United States of America. The results demonstrated that individuals diagnosed with depression had a significantly lower dietary intake of anthocyanidins compared to those without depression (P < 0.0001). Moreover, significant differences were observed among different participant groups regarding socioeconomic status and the presence of chronic physical illnesses (such as hypertension, glucose status, and chronic kidney disease risk, etc.) (P < 0.05). After adjustment for covariates, participants with the highest intake of anthocyanins (T3) demonstrated a significantly reduced risk of depression [OR.sub.T3 = 0.67, 95%CI: (0.48-0.95), (P.sub.trend= 0.02]. Furthermore, the RCS analysis revealed a significant linear relationship between dietary anthocyanidin intake and depression (P for non-linear = 0.5876). Conclusion Our findings reveal a negative association between dietary anthocyanidin intake and depression. Keywords: Anthocyanidins, Depression, NHANES, Multiple logistic regression Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological activity. However, the correlation between the consumption of anthocyanidins through diet and its impact on depression has yet to be investigated. This study utilized the Food and Nutrient Database for Dietary Studies (FNDDS) expanded flavonoid intake database, as well as data from the National Health and Nutrition Examination Survey (NHANES) from the years 2007 to 2010 and 2017 to 2018. The analysis of the collected data was conducted in R, following the guidelines outlined in the official NHANES user guide "Stratified Multi-stage Probability Sampling". Three different models were developed using logistic regression to assess the protective effects of T3 (representing the highest intake of anthocyanidins) against depression. Additionally, the study aimed to investigate whether there existed a non-linear relationship between the dietary intake of anthocyanidins and the prevalence of depression by employing restricted cubic spline (RCS) analysis. A total of 6,845 eligible participants were included in this cross-sectional study, with their data appropriately weighted to represent a population of 89.8 million people in the United States of America. The results demonstrated that individuals diagnosed with depression had a significantly lower dietary intake of anthocyanidins compared to those without depression (P < 0.0001). Moreover, significant differences were observed among different participant groups regarding socioeconomic status and the presence of chronic physical illnesses (such as hypertension, glucose status, and chronic kidney disease risk, etc.) (P < 0.05). After adjustment for covariates, participants with the highest intake of anthocyanins (T3) demonstrated a significantly reduced risk of depression [OR.sub.T3 = 0.67, 95%CI: (0.48-0.95), (P.sub.trend= 0.02]. Furthermore, the RCS analysis revealed a significant linear relationship between dietary anthocyanidin intake and depression (P for non-linear = 0.5876). Our findings reveal a negative association between dietary anthocyanidin intake and depression. |
ArticleNumber | 525 |
Audience | Academic |
Author | Chen, Wen-Li Zhao, Jing |
Author_xml | – sequence: 1 givenname: Wen-Li surname: Chen fullname: Chen, Wen-Li organization: Department of Ophthalmology, Zhejiang Chinese Medical University Affiliated Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, 325000, Zhejiang, China – sequence: 2 givenname: Jing surname: Zhao fullname: Zhao, Jing email: matozhao@126.com organization: Department of Ophthalmology, Zhejiang Chinese Medical University Affiliated Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, 325000, Zhejiang, China. matozhao@126.com |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37474898$$D View this record in MEDLINE/PubMed |
BookMark | eNptkstu1DAUhiNURC_wAiyQJTZFIsXXxGGDRlWhlaqyKJXYWY59MvWQsaexA5pn4KVxZsqog5AXto__89nn-D8uDnzwUBSvCT4jRFYfIqFSyhJTVmKBaVPKZ8UR4TUpKeffD56sD4vjGBcYk1oK8qI4ZDWvuWzkUfF7FmMwTicXPGoh_QLwyDpIelgj7dN9MGvtnXU-IueT_gE5apGF1QAxTkl6Gfwc3d0ibcc-xY9IIzOEGMsIZqLqHsU02jU6vbmc3VzcvkcU47qkmOANKi82O_nuZfG8032EV4_zSXH3-eLb-WV5_fXL1fnsujSi4qmk1koDTSuMbA0RugFRd0C1tVoYsC2TrGpb0bQt0ZIxLCvGLUhuWFNhaCQ7Ka62XBv0Qq0Gt8zFqqCd2gTCMFd6SM70oBoNtmIWqGEdr7pG4goyMbfR0opanVmftqzV2C7BGvBp0P0edP_Eu3s1Dz8VwazCTOBMOH0kDOFhhJjU0kUDfa89hDEqKjnBFItGZOnbf6SLMA65w5NK0Eysshl2qrnOFTjfhXyxmaBqVou64RyzOqvO_qPKw8LSmWy0zuX4XgLdJmx-d4BuVyTBavKj2vpR5SeojR_V1Oo3T9uzS_lrQPYHvyHaiA |
CitedBy_id | crossref_primary_10_1016_j_jad_2024_05_069 crossref_primary_10_1016_j_hrtlng_2024_05_006 |
Cites_doi | 10.1007/s11920-019-1117-x 10.3390/nu15041060 10.1016/j.phrs.2023.106764 10.1155/2020/6687185 10.1186/s12986-021-00546-3 10.3390/nu13020348 10.1017/S0007114520000926 10.1016/j.redox.2015.01.002 10.3945/an.111.001784 10.1016/j.bbi.2018.06.010 10.3389/fnut.2023.1107637 10.1146/annurev-food-022814-015604 10.1186/s12991-020-00263-w 10.3389/fpsyt.2023.1131802 10.3390/nu14122446 10.1016/S2215-0366(19)30475-4 10.3389/fpsyg.2022.978913 10.1186/s12974-020-02040-8 10.2174/1570159X14666151208113700 10.1017/neu.2016.69 10.1186/s12877-022-03380-1 10.1016/j.jad.2017.04.009 10.1093/eurheartj/ehaa811 10.3389/fnut.2023.1042522 10.1053/j.gastro.2020.09.057 10.1016/S0140-6736(21)02143-7 10.3390/biomedicines10061264 10.1016/j.neuron.2020.06.002 10.1186/s12888-020-02678-x 10.1046/j.1525-1497.2001.016009606.x 10.1016/j.jpsychores.2021.110678 10.1002/jsfa.11578 10.1155/2015/898393 10.1016/S0140-6736(18)31948-2 10.3390/nu15030774 |
ContentType | Journal Article |
Copyright | 2023. The Author(s). COPYRIGHT 2023 BioMed Central Ltd. 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Author(s) 2023 |
Copyright_xml | – notice: 2023. The Author(s). – notice: COPYRIGHT 2023 BioMed Central Ltd. – notice: 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: The Author(s) 2023 |
DBID | CGR CUY CVF ECM EIF NPM AAYXX CITATION 3V. 7TK 7X7 7XB 88E 88G 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH GNUQQ K9. M0S M1P M2M PIMPY PQEST PQQKQ PQUKI PSYQQ Q9U 7X8 5PM DOA |
DOI | 10.1186/s12888-023-05029-8 |
DatabaseName | Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed CrossRef ProQuest Central (Corporate) Neurosciences Abstracts 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 ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Korea Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student ProQuest Health & Medical Complete (Alumni) Health & Medical Collection (Alumni Edition) Medical Database Psychology Database Publicly Available Content Database 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 | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) CrossRef Publicly Available Content Database ProQuest One Psychology ProQuest Central Student ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest Central Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea ProQuest Medical Library (Alumni) ProQuest Central Basic ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Psychology Journals (Alumni) Neurosciences Abstracts ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest Psychology Journals ProQuest One Academic UKI Edition ProQuest One Academic ProQuest Central (Alumni) MEDLINE - Academic |
DatabaseTitleList | Publicly Available Content Database CrossRef MEDLINE MEDLINE - Academic |
Database_xml | – sequence: 1 dbid: DOA name: 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: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1471-244X |
EndPage | 525 |
ExternalDocumentID | oai_doaj_org_article_9aed63de2c3f46f9806e308785d262da A757944037 10_1186_s12888_023_05029_8 37474898 |
Genre | Journal Article |
GeographicLocations | United States United States--US |
GeographicLocations_xml | – name: United States – name: United States--US |
GroupedDBID | --- -A0 0R~ 23N 2WC 3V. 53G 5VS 6J9 7X7 88E 8FI 8FJ AAFWJ AAJSJ ABDBF ABIVO ABUWG ACGFO ACGFS ACIHN ACPRK ACRMQ ADBBV ADINQ ADRAZ ADUKV AEAQA AENEX AFKRA AFPKN AHBYD AHMBA AHYZX ALIPV ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS AZQEC BAPOH BAWUL BCNDV BENPR BFQNJ BMC BPHCQ BVXVI C24 C6C CCPQU CGR CS3 CUY CVF DIK DWQXO E3Z EAD EAP EAS EBD EBLON EBS ECM EIF EMB EMK EMOBN ESX F5P FYUFA GNUQQ GROUPED_DOAJ GX1 HMCUK HYE IAO IHR INH INR IPY ITC KQ8 M1P M2M M48 M~E NPM O5R O5S OK1 P2P PGMZT PIMPY PQQKQ PROAC PSQYO PSYQQ RBZ RNS ROL RPM RSV SMD SOJ SV3 TR2 TUS UKHRP W2D WOQ WOW XSB AAYXX CITATION ABVAZ AFGXO AFNRJ 7TK 7XB 8FK K9. PQEST PQUKI Q9U 7X8 5PM |
ID | FETCH-LOGICAL-c564t-2dd8ce9b5c8bc15a9e57fe2adda5cedb3836bb59bb1a83308634de84c3960e983 |
IEDL.DBID | RPM |
ISSN | 1471-244X |
IngestDate | Tue Oct 22 15:14:49 EDT 2024 Tue Sep 17 21:30:22 EDT 2024 Fri Oct 25 02:29:42 EDT 2024 Fri Nov 08 20:53:13 EST 2024 Thu Feb 22 23:55:54 EST 2024 Fri Feb 02 04:43:20 EST 2024 Thu Sep 12 17:49:28 EDT 2024 Wed Oct 16 00:39:24 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Multiple logistic regression Depression NHANES Anthocyanidins |
Language | English |
License | 2023. The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c564t-2dd8ce9b5c8bc15a9e57fe2adda5cedb3836bb59bb1a83308634de84c3960e983 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10360350/ |
PMID | 37474898 |
PQID | 2852036602 |
PQPubID | 44775 |
PageCount | 1 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_9aed63de2c3f46f9806e308785d262da pubmedcentral_primary_oai_pubmedcentral_nih_gov_10360350 proquest_miscellaneous_2841020595 proquest_journals_2852036602 gale_infotracmisc_A757944037 gale_infotracacademiconefile_A757944037 crossref_primary_10_1186_s12888_023_05029_8 pubmed_primary_37474898 |
PublicationCentury | 2000 |
PublicationDate | 2023-07-20 |
PublicationDateYYYYMMDD | 2023-07-20 |
PublicationDate_xml | – month: 07 year: 2023 text: 2023-07-20 day: 20 |
PublicationDecade | 2020 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: London |
PublicationTitle | BMC psychiatry |
PublicationTitleAlternate | BMC Psychiatry |
PublicationYear | 2023 |
Publisher | BioMed Central Ltd BioMed Central BMC |
Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central – name: BMC |
References | X Shen (5029_CR12) 2023; 10 M Chegini (5029_CR30) 2022; 22 ZS Sangsefidi (5029_CR22) 2021; 18 ZF Negeri (5029_CR19) 2021; 375 K Kroenke (5029_CR20) 2001; 16 K Wang (5029_CR29) 2021; 13 Y Liu (5029_CR8) 2017; 217 K Zhao (5029_CR15) 2022; 102 M Volpe (5029_CR16) 2020; 41 G Ferland (5029_CR10) 2012; 3 GS Malhi (5029_CR4) 2018; 392 AP Neilson (5029_CR17) 2016; 7 M-H Chou (5029_CR11) 2023; 15 O Kohler (5029_CR25) 2016; 14 E Beurel (5029_CR34) 2020; 107 Z Tao (5029_CR18) 2023; 10 IS Kim (5029_CR7) 2023; 15 R Iban-Arias (5029_CR37) 2022; 10 F Shanahan (5029_CR36) 2021; 160 ZS Sangsefidi (5029_CR13) 2020; 20 H Sies (5029_CR32) 2015; 4 N Yang (5029_CR33) 2020; 2020 N Xu (5029_CR31) 2022; 13 Global prevalence and burden of (5029_CR3) 2021; 398 M Vaváková (5029_CR24) 2015; 2015 F Imamura (5029_CR21) 2015; 351 P Cuijpers (5029_CR1) 2019; 21 AV Terry (5029_CR6) 2023; 191 L Luo (5029_CR9) 2023; 14 ZS Sangsefidi (5029_CR23) 2020; 19 J Fisk (5029_CR28) 2020; 124 FJ Herman (5029_CR26) 2018; 73 BE Leonard (5029_CR35) 2018; 30 The burden of mental disorders across the states of India (5029_CR2) 2020; 7 J Luo (5029_CR5) 2021; 152 M Maeda-Yamamoto (5029_CR27) 2022; 14 Y Li (5029_CR14) 2021; 18 |
References_xml | – volume: 21 start-page: 129 year: 2019 ident: 5029_CR1 publication-title: Curr Psychiatry Rep doi: 10.1007/s11920-019-1117-x contributor: fullname: P Cuijpers – volume: 15 start-page: 1060 year: 2023 ident: 5029_CR7 publication-title: Nutrients doi: 10.3390/nu15041060 contributor: fullname: IS Kim – volume: 191 start-page: 106764 year: 2023 ident: 5029_CR6 publication-title: Pharmacol Res doi: 10.1016/j.phrs.2023.106764 contributor: fullname: AV Terry – volume: 2020 start-page: 6687185 year: 2020 ident: 5029_CR33 publication-title: Oxidative Medicine and Cellular Longevity doi: 10.1155/2020/6687185 contributor: fullname: N Yang – volume: 18 start-page: 16 year: 2021 ident: 5029_CR22 publication-title: Nutr Metab (Lond) doi: 10.1186/s12986-021-00546-3 contributor: fullname: ZS Sangsefidi – volume: 13 start-page: 348 year: 2021 ident: 5029_CR29 publication-title: Nutrients doi: 10.3390/nu13020348 contributor: fullname: K Wang – volume: 124 start-page: 181 year: 2020 ident: 5029_CR28 publication-title: Br J Nutr doi: 10.1017/S0007114520000926 contributor: fullname: J Fisk – volume: 4 start-page: 180 year: 2015 ident: 5029_CR32 publication-title: Redox Biol doi: 10.1016/j.redox.2015.01.002 contributor: fullname: H Sies – volume: 3 start-page: 204 year: 2012 ident: 5029_CR10 publication-title: Adv Nutr doi: 10.3945/an.111.001784 contributor: fullname: G Ferland – volume: 73 start-page: 66 year: 2018 ident: 5029_CR26 publication-title: Brain Behav Immun doi: 10.1016/j.bbi.2018.06.010 contributor: fullname: FJ Herman – volume: 10 start-page: 1107637 year: 2023 ident: 5029_CR18 publication-title: Front Nutr doi: 10.3389/fnut.2023.1107637 contributor: fullname: Z Tao – volume: 7 start-page: 43 year: 2016 ident: 5029_CR17 publication-title: Annu Rev Food Sci Technol doi: 10.1146/annurev-food-022814-015604 contributor: fullname: AP Neilson – volume: 19 start-page: 8 year: 2020 ident: 5029_CR23 publication-title: Ann Gen Psychiatry doi: 10.1186/s12991-020-00263-w contributor: fullname: ZS Sangsefidi – volume: 14 start-page: 1131802 year: 2023 ident: 5029_CR9 publication-title: Front Psychiatry doi: 10.3389/fpsyt.2023.1131802 contributor: fullname: L Luo – volume: 14 start-page: 2446 issue: 12 year: 2022 ident: 5029_CR27 publication-title: Nutrients doi: 10.3390/nu14122446 contributor: fullname: M Maeda-Yamamoto – volume: 375 start-page: n2183 year: 2021 ident: 5029_CR19 publication-title: BMJ (Clinical Research ed) contributor: fullname: ZF Negeri – volume: 7 start-page: 148 year: 2020 ident: 5029_CR2 publication-title: Lancet Psychiatry doi: 10.1016/S2215-0366(19)30475-4 contributor: fullname: The burden of mental disorders across the states of India – volume: 13 start-page: 978913 year: 2022 ident: 5029_CR31 publication-title: Front Psychol doi: 10.3389/fpsyg.2022.978913 contributor: fullname: N Xu – volume: 18 start-page: 1 year: 2021 ident: 5029_CR14 publication-title: J Neuroinflammation doi: 10.1186/s12974-020-02040-8 contributor: fullname: Y Li – volume: 14 start-page: 732 year: 2016 ident: 5029_CR25 publication-title: Curr Neuropharmacol doi: 10.2174/1570159X14666151208113700 contributor: fullname: O Kohler – volume: 30 start-page: 1 issue: 1 year: 2018 ident: 5029_CR35 publication-title: Acta Neuropsychiatr. doi: 10.1017/neu.2016.69 contributor: fullname: BE Leonard – volume: 22 start-page: 708 year: 2022 ident: 5029_CR30 publication-title: BMC Geriatr doi: 10.1186/s12877-022-03380-1 contributor: fullname: M Chegini – volume: 217 start-page: 190 year: 2017 ident: 5029_CR8 publication-title: J Affect Disord doi: 10.1016/j.jad.2017.04.009 contributor: fullname: Y Liu – volume: 351 start-page: h3576 year: 2015 ident: 5029_CR21 publication-title: BMJ (Clinical Research ed contributor: fullname: F Imamura – volume: 41 start-page: 3986 year: 2020 ident: 5029_CR16 publication-title: Eur Heart J doi: 10.1093/eurheartj/ehaa811 contributor: fullname: M Volpe – volume: 10 start-page: 1042522 year: 2023 ident: 5029_CR12 publication-title: Front Nutr doi: 10.3389/fnut.2023.1042522 contributor: fullname: X Shen – volume: 160 start-page: 483 year: 2021 ident: 5029_CR36 publication-title: Gastroenterology doi: 10.1053/j.gastro.2020.09.057 contributor: fullname: F Shanahan – volume: 398 start-page: 1700 year: 2021 ident: 5029_CR3 publication-title: Lancet doi: 10.1016/S0140-6736(21)02143-7 contributor: fullname: Global prevalence and burden of – volume: 10 start-page: 1264 issue: 6 year: 2022 ident: 5029_CR37 publication-title: Biomedicines doi: 10.3390/biomedicines10061264 contributor: fullname: R Iban-Arias – volume: 107 start-page: 234 year: 2020 ident: 5029_CR34 publication-title: Neuron doi: 10.1016/j.neuron.2020.06.002 contributor: fullname: E Beurel – volume: 20 start-page: 257 year: 2020 ident: 5029_CR13 publication-title: BMC Psychiatry doi: 10.1186/s12888-020-02678-x contributor: fullname: ZS Sangsefidi – volume: 16 start-page: 606 year: 2001 ident: 5029_CR20 publication-title: J Gen Intern Med doi: 10.1046/j.1525-1497.2001.016009606.x contributor: fullname: K Kroenke – volume: 152 start-page: 110678 year: 2021 ident: 5029_CR5 publication-title: J Psychosom Res doi: 10.1016/j.jpsychores.2021.110678 contributor: fullname: J Luo – volume: 102 start-page: 1311 year: 2022 ident: 5029_CR15 publication-title: J Sci Food Agric doi: 10.1002/jsfa.11578 contributor: fullname: K Zhao – volume: 2015 start-page: 898393 year: 2015 ident: 5029_CR24 publication-title: Oxidative Medicine and Cellular Longevity doi: 10.1155/2015/898393 contributor: fullname: M Vaváková – volume: 392 start-page: 2299 year: 2018 ident: 5029_CR4 publication-title: Lancet doi: 10.1016/S0140-6736(18)31948-2 contributor: fullname: GS Malhi – volume: 15 start-page: 774 year: 2023 ident: 5029_CR11 publication-title: Nutrients doi: 10.3390/nu15030774 contributor: fullname: M-H Chou |
SSID | ssj0017851 |
Score | 2.4353929 |
Snippet | Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological activity. However,... Abstract Background Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with... Background Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological... BackgroundAnthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological... BACKGROUNDAnthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with pharmacological... Abstract Background Anthocyanidins encompass a diverse array of compounds that possess notable anti-inflammatory and antioxidant properties with... |
SourceID | doaj pubmedcentral proquest gale crossref pubmed |
SourceType | Open Website Open Access Repository Aggregation Database Index Database |
StartPage | 525 |
SubjectTerms | Adjustment Adult Analysis Anthocyanidins Anthocyanin Anthocyanins Body mass index Brain research Care and treatment Cross-Sectional Studies Depression Depression, Mental Diagnosis Diet Dietary intake Eating Flavonoids Food Food habits Glucose Health aspects Humans Hypertension Inflammation Kidney diseases Mental depression Multiple logistic regression NHANES Nutrition Surveys Population Poverty Psychiatry Psychological aspects Questionnaires Regression analysis United States - epidemiology |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQD4gL4k2grYyEBAiiZv2K3duCWq2QupeyUm-WXxGrSilq0kNv_AMO_EN-SWec7GojDly4JbGT2J53ZvKZkLepcVUTGlnWmsdScMZLn2RVaohYfAxcVx4DxbOlWqzE1wt5sbPVF9aEDfDAw8IdGZei4jGxwBuhGqMrlRDFTsvIFIuDa1SZTTA15g9wy_nNLzJaHXWghYEjwD6VlcSCDz0xQxmt_2-dvGOUpgWTOxbo9BF5OLqOdD4M-TG5l9on5P7ZmBx_Sn7tLDUd669oXKfeXd9ShyAB4da1azBWHV23vbtMcDXSbS1sS_POQ3R1TjMqR3dMHc3DL7tcsIVvz3C09P1yMV-enH-i-A3yz8_fmOzOD4OD8Vx_eEZWpyffvizKcb-FMkgl-pLFqEMyXgbtw0w6k2TdJAYa0MmQoodgVnkvjfczpzkQQXERkxaBQxiUjObPyV571aaXhEovRCOZr4WrBThprjau4k3KgHHMsYJ83Cy__THAatgcjmhlB2JZIJbNxLK6IJ-RQtueCImdLwCj2JFR7L8YpSDvkL4WBReIGNz4_wEMGCGw7LyWoJtExeuC7E96gsCFafOGQ-wo8J1lWmJKV1UwtTfbZrwTi9jadHWDfQS4c-DPyoK8GBhqOyUOYZ3QBqaqJ6w2mfO0pV1_z3DgM3gv5odf_Y9Vek0esCwmNejPfbLXX9-kA3C7en-YJewOKvAp1A priority: 102 providerName: Directory of Open Access Journals – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1bi9NAFB60C-KLeDfrKiMIKho2nUsy8UW60qUIW8S1sG_D3LIWId1tug_75j_wwX_oL_Gc6bQ2CL61mWkzk3Ofc_IdQl6GxhSNa2ReKe5zwRnPbZBFriBisd5xVVgMFE-m5WQmPp3Js3Tg1qWyyo1OjIraLxyekR8yJTFnVhbsw8Vljl2jMLuaWmjcJHsMIoViQPaOxtPPX7Z5BGw9v3lVRpWHHWhj4AywU3khsfBD9cxRRO3_VzfvGKd-4eSOJTq-S-4kF5KO1jS_R26E9j65dZKS5A_Iz51HTlMdFvXzsDLLa2oQLMBdm3YORquj83Zlvge46um2JralsQMRnZ3SiM7RvaeGxuXnXSzcwrtHWFr6ejoZTcen7yieRf7-8QuT3vHP4EP6rt48JLPj8dePkzz1XcidLMUqZ94rF2ornbJuKE0dZNUEBprQSBe8haC2tFbW1g6N4hyCIi58UMJxCIdCrfgjMmgXbXhCqLRCNJLZSphKgLNmqtoUvAkROI4ZlpG3m8evL9bwGjqGJarUa2JpIJaOxNIqI0dIoe1MhMaOFxbLc50kTdcm-JL7wBxvRNnUqigDwh4q6VnJvMnIK6SvRgEGIjqT3kOABSMUlh5VEnSUKHiVkYPeTBA81x_ecIhOgt_pv2yakRfbYfwlFrO1YXGFcwS4deDXyow8XjPUdkscwjuhatiq6rFab8_9kXb-LcKCD-G-mCfe__-6npLbLApABRrygAxWy6vwDByrlX2epOcPFy4iZg priority: 102 providerName: ProQuest – databaseName: Scholars Portal Open Access Journals dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bi9NAFB7WFcSXxbvRVUYQVHQ0nVsmgkiVXYqwfVkLfRvmFi0uqTZZsG_-Ax_8h_4Sz0yT2uC--NZmpklmzr3nzHcQehwqk1euEqRQzBPOKCM2iJwoiFisd0zlNgaKJ1M5mfEPczHfQ327o24DmwtDu9hParY6e_n92_otCPybJPBKvmpAxwK9wfqQXMRyDnUJXaYcIvVYysf_ZhViI_p02qgYETBr8_4QzYX3GBiqhOf_r9beMVvDksodG3V8DR10ziUeb7jhOtoL9Q105aRLn99EP3eIgbsKLewXoTWrNTYRRsCtTb0Ac9bgRd2aLwGuerytlq1x6k2EZ6c44XY0r7HB6fVJk0q64tMTYC1-Op2Mp0enL3D8l_L3j18xHZ5uBh-67-rZLTQ7Pvr4fkK6jgzECclbQr1XLpRWOGXdSJgyiKIKFHSkES54C-GutFaU1o6Mgv1XknEfFHcMAqVQKnYb7dfLOtxFWFjOK0FtwU3BwY0zRWlyVoUEKUcNzdDzfvv11w3whk4Bi5J6QywNxNKJWFpl6F2k0HZmBM1OF5arT7qTQV2a4CXzgTpWcVmVKpchAiIq4amk3mToSaSvjswGRHSmO6EALxxBsvS4EKC9eM6KDB0OZoJIuuFwzyG652hNlYhJX5nD0h5th-MvY5lbHZbncQ4Hhw88XpGhOxuG2i6JQeDHVQlLVQNWG6x5OFIvPifA8BE8N2aQ7_3Xnt5HV2mShwJU6SHab1fn4QF4YK19mMTqD5LjKiE priority: 102 providerName: Scholars Portal |
Title | Association between dietary anthocyanidins intake and depression among US adults: a cross-sectional study (NHANES, 2007-2010 and 2017-2018) |
URI | https://www.ncbi.nlm.nih.gov/pubmed/37474898 https://www.proquest.com/docview/2852036602 https://search.proquest.com/docview/2841020595 https://pubmed.ncbi.nlm.nih.gov/PMC10360350 https://doaj.org/article/9aed63de2c3f46f9806e308785d262da |
Volume | 23 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bb9MwFLa2ISFeJu4LjMpISIAga-pbHN7aqVOF1GraqFTxYvkWqMbSqe0e9sY_4IF_yC_h2E2qRrzxEiWx09o595zjzwi98aXOSlvyNJfUpYwSmhrPs1RCxGKcpTIzIVAcT8Royj7P-GwPiWYtTCzat2Z-Uv24Pqnm32Nt5c217TZ1Yt3z8WkP1G7IiHX30T5waBOj17mDsN18szxGiu4KNDBwA9imNOOh2CNs0UfBi2aykC1rFEH7_1XNO7apXTe5Y4jOHqLD2oPE_c1IH6E9Xz1G98d1jvwJ-rXzxnFdhoXd3K_18g7rgBVg73Q1B5u1wvNqra883HV4WxJb4bgBEZ5e4gjOsfqENY7DT1exbiv8e0Slxe8mo_5kePkRh0-Rf37-Djnv-GNwUl_L90_R9Gz45XSU1tsupJYLtk6Jc9L6wnArje1xXXiel56AItTcemcgphXG8MKYnpaUQkxEmfOSWQrRkC8kfYYOqkXljxDmhrGSE5MznTPw1XRe6IyWPuLGEU0S9KF5_epmg66hYlQihdrQTQHdVKSbkgkaBAptewZk7Hhjsfymav5QhfZOUOeJpSUTZSEz4QPqoeSOCOJ0gt4G-qogv0BEq-tlCDDggISl-jkHFcUymifouNUT5M62mxsOUbXcrxSRPGR2RQZTe71tDk-GWrbKL25DHwZeHbi1PEHPNwy1nVLDlwmSLVZrzbndAkISUcEboXjx_4--RA9IlJMclOcxOlgvb_0r8LnWpgOCNss76N5gODm_6MQvF3AcMwnHi8HXThTBv5kKL8Y |
link.rule.ids | 230,315,730,783,787,867,888,2109,12068,21400,24330,27936,27937,31731,31732,33756,33757,43322,43817,53804,53806 |
linkProvider | National Library of Medicine |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lj9MwELZgVwIuiDeBBYyEBAiiTf1IHC6oi7oqsK0Qu5X2ZvkVqJDSpe0e9sY_4MA_5Jcw47qlERK3NnYbO_P2TL4h5FloTNG4RuaV4j4XnPHcBlnkCiIW6x1XhcVAcTQuhxPx4VSepgO3RSqrXOvEqKj9zOEZ-T5TEnNmZcHenn3PsWsUZldTC43LZBehqiD42j0YjD993uQRsPX8-lUZVe4vQBsDZ4CdyguJhR-qY44iav-_unnLOHULJ7cs0eENcj25kLS_ovlNcim0t8iVUUqS3yY_tx45TXVY1E_D0swvqEGwAHdh2ikYrQWdtkvzLcBVTzc1sS2NHYjo5JhGdI7FG2poXH6-iIVbePcIS0tfjIf98eD4NcWzyN8_fmHSO_4ZfEjf1cs7ZHI4OHk3zFPfhdzJUixz5r1yobbSKet60tRBVk1goAmNdMFbCGpLa2Vtbc8oziEo4sIHJRyHcCjUit8lO-2sDfcJlVaIRjJbCVMJcNZMVZuCNyECxzHDMvJq_fj12QpeQ8ewRJV6RSwNxNKRWFpl5AAptJmJ0Njxwmz-RSdJ07UJvuQ-MMcbUTa1KsqAsIdKelYybzLyHOmrUYCBiM6k9xBgwQiFpfuVBB0lCl5lZK8zEwTPdYfXHKKT4C_0XzbNyNPNMP4Si9naMDvHOQLcOvBrZUburRhqsyUO4Z1QNWxVdVits-fuSDv9GmHBe3BfzBM_-P-6npCrw5PRkT56P_74kFxjURgq0JZ7ZGc5Pw-PwMla2sdJkv4ACKUlYA |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3LjtMwFLVgkEZseD8CAxgJCRCkTf1IHHZlmFF5tBppqDQSC8uvQDVMWjXpYljxByz4Q76EazepGtjNromdpjc-vo_65BihZ65QSWEKHmeC2phRQmPteBILqFi0NVQk2heK40k6mrIPJ_ykYVVWDa2yNHrWK7-f9crZt8CtXJyZfssT6x-N9wfgdv2KWH9hi_5ldAUmbZK2lXqzguA3nW9fkhFpvwI_DJiACBUn3FM-_EZ9FHJpJnLRiUlBuv9_B70Vobrsya1wdHgdfWkNWbNQTnurWvfMj380Hi9m6Q10rclS8XDd5ya65MpbaHfcrMPfRr-2RhU3VC9sZ65Wy3OsvB6BOVflDOJihWdlrU4dnLV4Q7stcdjkCE-PcRAAqd5ghcPDiavADfN3D8q3-MVkNJwcHL_G_u_OPz9_-3X18GXwoTkWL--g6eHB5_1R3GztEBuesjom1grjcs2N0GbAVe54VjgCzlZx46yGujnVmudaD5SgFOouyqwTzFCouFwu6F20U85Ldx9hrhkrONEZUxmDfFBluUpo4YI2HVEkQq_awZWLtYKHDJWPSOUaFRJQIQMqpIjQWz_-m55efTucmC-_ymZkZK6cTal1xNCCpUUO6HNeWVFwS1JiVYSee_RI7yMAIkY1rzrAD_ZqW3KYcXCDLKFZhPY6PWFum25ziz_Z-JZKEsH96nGagGlPN83-Ss-XK9185fswyBwhdeYRureG68akFvUREh0gd2zutgA8g_J4C8cHF7_0Cdo9encoP72ffHyIrpIwITPw1Xtop16u3CNI8Wr9OMzlvzhLTwA |
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=Association+between+dietary+anthocyanidins+intake+and+depression+among+US+adults%3A+a+cross-sectional+study+%28NHANES%2C+2007%E2%80%932010+and+2017%E2%80%932018%29&rft.jtitle=BMC+psychiatry&rft.au=Chen%2C+Wen-li&rft.au=Zhao%2C+Jing&rft.date=2023-07-20&rft.issn=1471-244X&rft.eissn=1471-244X&rft.volume=23&rft.issue=1&rft_id=info:doi/10.1186%2Fs12888-023-05029-8&rft.externalDBID=n%2Fa&rft.externalDocID=10_1186_s12888_023_05029_8 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-244X&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-244X&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-244X&client=summon |