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cMIND Diet, Indoor Air Pollution, and Depression: A Cohort Study Based on the CLHLS from 2011 to 2018
This study aims to explore the interaction between a Chinese version of the Mediterranean-DASH intervention for neurodegenerative delay (cMIND) diet and indoor air pollution and its effect on depression among older adults. This cohort study used 2011-2018 data from the Chinese Longitudinal Healthy L...
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Published in: | Nutrients 2023-02, Vol.15 (5), p.1203 |
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description | This study aims to explore the interaction between a Chinese version of the Mediterranean-DASH intervention for neurodegenerative delay (cMIND) diet and indoor air pollution and its effect on depression among older adults. This cohort study used 2011-2018 data from the Chinese Longitudinal Healthy Longevity Survey. Participants included 2724 adults aged 65 and older without depression. The Chinese version of the Mediterranean-DASH intervention for neurodegenerative delay (cMIND) diet scores ranged from 0 to 12 based on validated food frequency questionnaire responses. Depression was measured using the Phenotypes and eXposures Toolkit. Cox proportional hazards regression models were used to explore the associations, and the analysis was stratified using the cMIND diet scores. A total of 2724 participants (54.3% males and 45.9% 80 years and older) at baseline were included. Living with severe indoor pollution was associated with a 40% increase in the risk of depression (HR: 1.40, 95% CI: 1.07, 1.82) compared to living without indoor pollution. Indoor air pollution exposure was significantly associated with cMIND diet scores. Participants with a lower cMIND diet score (HR: 1.72, 95% CI: 1.24, 2.38) had a greater association with severe pollution than those with a higher cMIND diet score. The cMIND diet may alleviate depression caused by indoor pollution among older adults. |
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This cohort study used 2011-2018 data from the Chinese Longitudinal Healthy Longevity Survey. Participants included 2724 adults aged 65 and older without depression. The Chinese version of the Mediterranean-DASH intervention for neurodegenerative delay (cMIND) diet scores ranged from 0 to 12 based on validated food frequency questionnaire responses. Depression was measured using the Phenotypes and eXposures Toolkit. Cox proportional hazards regression models were used to explore the associations, and the analysis was stratified using the cMIND diet scores. A total of 2724 participants (54.3% males and 45.9% 80 years and older) at baseline were included. Living with severe indoor pollution was associated with a 40% increase in the risk of depression (HR: 1.40, 95% CI: 1.07, 1.82) compared to living without indoor pollution. Indoor air pollution exposure was significantly associated with cMIND diet scores. Participants with a lower cMIND diet score (HR: 1.72, 95% CI: 1.24, 2.38) had a greater association with severe pollution than those with a higher cMIND diet score. The cMIND diet may alleviate depression caused by indoor pollution among older adults.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu15051203</identifier><identifier>PMID: 36904202</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adults ; Aged ; Air Pollution ; Air Pollution, Indoor ; Animals ; Body mass index ; Cerebrovascular disease ; China ; cMIND diet ; Cognition disorders in old age ; Cohort analysis ; Cohort Studies ; Coronaviruses ; COVID-19 ; DASH diet ; Depression ; Depression in old age ; Diet ; elderly population ; Female ; Food ; Food and nutrition ; Health aspects ; Health care ; Indoor air pollution ; Indoor air quality ; Indoor environments ; Longitudinal Studies ; Male ; Mental depression ; Mental disorders ; Mental health ; Older people ; Phenotypes ; Population ; Prevention ; Regression analysis ; Risk factors ; Sensitivity analysis ; Socioeconomic factors ; Surveys</subject><ispartof>Nutrients, 2023-02, Vol.15 (5), p.1203</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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This cohort study used 2011-2018 data from the Chinese Longitudinal Healthy Longevity Survey. Participants included 2724 adults aged 65 and older without depression. The Chinese version of the Mediterranean-DASH intervention for neurodegenerative delay (cMIND) diet scores ranged from 0 to 12 based on validated food frequency questionnaire responses. Depression was measured using the Phenotypes and eXposures Toolkit. Cox proportional hazards regression models were used to explore the associations, and the analysis was stratified using the cMIND diet scores. A total of 2724 participants (54.3% males and 45.9% 80 years and older) at baseline were included. Living with severe indoor pollution was associated with a 40% increase in the risk of depression (HR: 1.40, 95% CI: 1.07, 1.82) compared to living without indoor pollution. Indoor air pollution exposure was significantly associated with cMIND diet scores. Participants with a lower cMIND diet score (HR: 1.72, 95% CI: 1.24, 2.38) had a greater association with severe pollution than those with a higher cMIND diet score. The cMIND diet may alleviate depression caused by indoor pollution among older adults.</description><subject>Adults</subject><subject>Aged</subject><subject>Air Pollution</subject><subject>Air Pollution, Indoor</subject><subject>Animals</subject><subject>Body mass index</subject><subject>Cerebrovascular disease</subject><subject>China</subject><subject>cMIND diet</subject><subject>Cognition disorders in old age</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>DASH diet</subject><subject>Depression</subject><subject>Depression in old age</subject><subject>Diet</subject><subject>elderly population</subject><subject>Female</subject><subject>Food</subject><subject>Food and nutrition</subject><subject>Health aspects</subject><subject>Health care</subject><subject>Indoor air pollution</subject><subject>Indoor air quality</subject><subject>Indoor environments</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Older people</subject><subject>Phenotypes</subject><subject>Population</subject><subject>Prevention</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Sensitivity analysis</subject><subject>Socioeconomic factors</subject><subject>Surveys</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkk1vEzEQhlcIRKvSCz8AWeKCUFP8bS8XFBKgkcKHVDhbXtubONq1g72L1H-Pl5S2QdiHscfPvNY7mqp6juAlITV8E0bEIEMYkkfVKYYCzzin5PGD80l1nvMOTktAwcnT6oTwGlIM8WnlzOfVlyVYejdcgFWwMSYw9wl8i103Dj6GC6CDBUu3Ty7ncn8L5mARtzEN4HoY7Q14r7OzIAYwbB1YrK_W16BNsQcYIgSGOEX5rHrS6i6789t4Vv34-OH74mq2_vpptZivZ4ZROMxqIyQytmVWa6OREVpKbWBtrJW10XXLmcaNs9RhLjCntWWOEtvUhmPMYUPOqtVB10a9U_vke51uVNRe_UnEtFE6Dd50ThGIuG00pZRw2lIkhTUcSaxbVzOObNF6d9Daj03vrHFhSLo7Ej1-CX6rNvGXQqXRTEBZFF7dKqT4c3R5UL3PxnWdDi6OWWEhOSqoIAV9-Q-6i2MKpVcTxTCkjMh7aqOLAx_aWD42k6iai2KBUiYm6vI_VNnW9d7E4Fpf8kcFrw8FJsWck2vvTCKopiFT90NW4BcP23KH_h0p8hscHca3</recordid><startdate>20230227</startdate><enddate>20230227</enddate><creator>Wang, Ruoyu</creator><creator>Ye, Chen</creator><creator>Huang, Xiaojie</creator><creator>Halimulati, Mairepaiti</creator><creator>Sun, Meng</creator><creator>Ma, Yuxin</creator><creator>Fan, Rui</creator><creator>Zhang, Zhaofeng</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-9751-1549</orcidid></search><sort><creationdate>20230227</creationdate><title>cMIND Diet, Indoor Air Pollution, and Depression: A Cohort Study Based on the CLHLS from 2011 to 2018</title><author>Wang, Ruoyu ; 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This cohort study used 2011-2018 data from the Chinese Longitudinal Healthy Longevity Survey. Participants included 2724 adults aged 65 and older without depression. The Chinese version of the Mediterranean-DASH intervention for neurodegenerative delay (cMIND) diet scores ranged from 0 to 12 based on validated food frequency questionnaire responses. Depression was measured using the Phenotypes and eXposures Toolkit. Cox proportional hazards regression models were used to explore the associations, and the analysis was stratified using the cMIND diet scores. A total of 2724 participants (54.3% males and 45.9% 80 years and older) at baseline were included. Living with severe indoor pollution was associated with a 40% increase in the risk of depression (HR: 1.40, 95% CI: 1.07, 1.82) compared to living without indoor pollution. Indoor air pollution exposure was significantly associated with cMIND diet scores. 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subjects | Adults Aged Air Pollution Air Pollution, Indoor Animals Body mass index Cerebrovascular disease China cMIND diet Cognition disorders in old age Cohort analysis Cohort Studies Coronaviruses COVID-19 DASH diet Depression Depression in old age Diet elderly population Female Food Food and nutrition Health aspects Health care Indoor air pollution Indoor air quality Indoor environments Longitudinal Studies Male Mental depression Mental disorders Mental health Older people Phenotypes Population Prevention Regression analysis Risk factors Sensitivity analysis Socioeconomic factors Surveys |
title | cMIND Diet, Indoor Air Pollution, and Depression: A Cohort Study Based on the CLHLS from 2011 to 2018 |
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