Dietary patterns and incidence of depression in a cohort of community-dwelling older Canadians
OBJECTIVES: To investigate the association of dietary patterns with a 3-year incidence of depression among healthy older adults. DESIGN: Multiple logistic regression models adjusted for age, sex, marital status, smoking, education, total energy intake, physical activity, body mass index, hypertensio...
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| Veröffentlicht in: | The Journal of nutrition, health & aging health & aging, 2015-04, Vol.19 (4), p.431-436 |
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| creator | Gougeon, L Payette, H Morais, J Gaudreau, P Shatenstein, B Gray-Donald, Katherine |
| description | OBJECTIVES: To investigate the association of dietary patterns with a 3-year incidence of depression among healthy older adults. DESIGN: Multiple logistic regression models adjusted for age, sex, marital status, smoking, education, total energy intake, physical activity, body mass index, hypertension, functional autonomy, cognitive functioning, social activities, and stressful life events. Energy and macronutrient intakes were also analyzed as potential predictors of depression. SETTING: Cities of Montréal, Laval, and Sherbrooke in Quebec, CA. PARTICIPANTS: Community-dwelling older adults, free of depression at baseline (N=1,358, 67–84 y), followed for 3y in the Québec Longitudinal Study on Nutrition and Aging (NuAge). MEASUREMENTS: Dietary patterns derived from principal components analysis of three 24 h-recalls at baseline, and depression incidence as measured by the 30-item Geriatric Depression Scale (≥11) and/or use of antidepressants at follow-up years. RESULTS: 170 people (63% women) became depressed over the 3 years. People in the highest tertile of adherence to the “varied diet” had lower risk of depression before adjustment (OR 0.58, 98% C.I. 0.38–0.86) but not significant once age and sex were controlled. No other dietary pattern was associated with the incidence of depression. The highest tertile of energy intake was associated with lower depression incidence after controlling for all confounders (OR 0.55, 95%CI 0.34–0.87). CONCLUSION: Among healthy older adults, dietary patterns do not appear to be related to depression. Those who eat less, however, possibly reflecting declining health, are at higher risk of becoming depressed. |
| doi_str_mv | 10.1007/s12603-014-0562-9 |
| format | Article |
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DESIGN: Multiple logistic regression models adjusted for age, sex, marital status, smoking, education, total energy intake, physical activity, body mass index, hypertension, functional autonomy, cognitive functioning, social activities, and stressful life events. Energy and macronutrient intakes were also analyzed as potential predictors of depression. SETTING: Cities of Montréal, Laval, and Sherbrooke in Quebec, CA. PARTICIPANTS: Community-dwelling older adults, free of depression at baseline (N=1,358, 67–84 y), followed for 3y in the Québec Longitudinal Study on Nutrition and Aging (NuAge). MEASUREMENTS: Dietary patterns derived from principal components analysis of three 24 h-recalls at baseline, and depression incidence as measured by the 30-item Geriatric Depression Scale (≥11) and/or use of antidepressants at follow-up years. RESULTS: 170 people (63% women) became depressed over the 3 years. People in the highest tertile of adherence to the “varied diet” had lower risk of depression before adjustment (OR 0.58, 98% C.I. 0.38–0.86) but not significant once age and sex were controlled. No other dietary pattern was associated with the incidence of depression. The highest tertile of energy intake was associated with lower depression incidence after controlling for all confounders (OR 0.55, 95%CI 0.34–0.87). CONCLUSION: Among healthy older adults, dietary patterns do not appear to be related to depression. Those who eat less, however, possibly reflecting declining health, are at higher risk of becoming depressed.</description><identifier>ISSN: 1279-7707</identifier><identifier>EISSN: 1760-4788</identifier><identifier>DOI: 10.1007/s12603-014-0562-9</identifier><identifier>PMID: 25809807</identifier><language>eng</language><publisher>Paris: Springer Paris</publisher><subject>Activities of daily living ; Aged ; Aged, 80 and over ; Aging ; Antidepressants ; body mass index ; Canadians ; cities ; cognition ; Depression - diagnosis ; Depression - epidemiology ; diet ; Diet - statistics & numerical data ; Disability ; eating habits ; education ; elderly ; Energy Intake ; Exercise ; Feeding Behavior ; Female ; Geriatric Assessment ; Geriatrics ; Geriatrics/Gerontology ; Humans ; hypertension ; Incidence ; life events ; Logistic Models ; Longitudinal Studies ; Male ; Marital status ; Medicine ; Medicine & Public Health ; Mental depression ; Neurosciences ; Nutrition ; Nutrition research ; Nutritional Status ; Older people ; physical activity ; Primary Care Medicine ; Principal Component Analysis ; Principal components analysis ; Quality of Life Research ; Quebec - epidemiology ; regression analysis ; Research centers ; Residence Characteristics ; risk ; women ; Womens health</subject><ispartof>The Journal of nutrition, health & aging, 2015-04, Vol.19 (4), p.431-436</ispartof><rights>Serdi and Springer-Verlag France 2014</rights><rights>Serdi and Springer-Verlag France 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c575t-e3f2b095bebea706fcc2fcfae2cec612b905f22b333f994d3a24fd59d2b396913</citedby><cites>FETCH-LOGICAL-c575t-e3f2b095bebea706fcc2fcfae2cec612b905f22b333f994d3a24fd59d2b396913</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12603-014-0562-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12603-014-0562-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25809807$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gougeon, L</creatorcontrib><creatorcontrib>Payette, H</creatorcontrib><creatorcontrib>Morais, J</creatorcontrib><creatorcontrib>Gaudreau, P</creatorcontrib><creatorcontrib>Shatenstein, B</creatorcontrib><creatorcontrib>Gray-Donald, Katherine</creatorcontrib><title>Dietary patterns and incidence of depression in a cohort of community-dwelling older Canadians</title><title>The Journal of nutrition, health & aging</title><addtitle>J Nutr Health Aging</addtitle><addtitle>J Nutr Health Aging</addtitle><description>OBJECTIVES: To investigate the association of dietary patterns with a 3-year incidence of depression among healthy older adults. DESIGN: Multiple logistic regression models adjusted for age, sex, marital status, smoking, education, total energy intake, physical activity, body mass index, hypertension, functional autonomy, cognitive functioning, social activities, and stressful life events. Energy and macronutrient intakes were also analyzed as potential predictors of depression. SETTING: Cities of Montréal, Laval, and Sherbrooke in Quebec, CA. PARTICIPANTS: Community-dwelling older adults, free of depression at baseline (N=1,358, 67–84 y), followed for 3y in the Québec Longitudinal Study on Nutrition and Aging (NuAge). MEASUREMENTS: Dietary patterns derived from principal components analysis of three 24 h-recalls at baseline, and depression incidence as measured by the 30-item Geriatric Depression Scale (≥11) and/or use of antidepressants at follow-up years. RESULTS: 170 people (63% women) became depressed over the 3 years. People in the highest tertile of adherence to the “varied diet” had lower risk of depression before adjustment (OR 0.58, 98% C.I. 0.38–0.86) but not significant once age and sex were controlled. No other dietary pattern was associated with the incidence of depression. The highest tertile of energy intake was associated with lower depression incidence after controlling for all confounders (OR 0.55, 95%CI 0.34–0.87). CONCLUSION: Among healthy older adults, dietary patterns do not appear to be related to depression. Those who eat less, however, possibly reflecting declining health, are at higher risk of becoming depressed.</description><subject>Activities of daily living</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Antidepressants</subject><subject>body mass index</subject><subject>Canadians</subject><subject>cities</subject><subject>cognition</subject><subject>Depression - diagnosis</subject><subject>Depression - epidemiology</subject><subject>diet</subject><subject>Diet - statistics & numerical data</subject><subject>Disability</subject><subject>eating habits</subject><subject>education</subject><subject>elderly</subject><subject>Energy Intake</subject><subject>Exercise</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Geriatric Assessment</subject><subject>Geriatrics</subject><subject>Geriatrics/Gerontology</subject><subject>Humans</subject><subject>hypertension</subject><subject>Incidence</subject><subject>life events</subject><subject>Logistic Models</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Marital status</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental depression</subject><subject>Neurosciences</subject><subject>Nutrition</subject><subject>Nutrition research</subject><subject>Nutritional Status</subject><subject>Older people</subject><subject>physical activity</subject><subject>Primary Care Medicine</subject><subject>Principal Component Analysis</subject><subject>Principal components analysis</subject><subject>Quality of Life Research</subject><subject>Quebec - epidemiology</subject><subject>regression analysis</subject><subject>Research centers</subject><subject>Residence Characteristics</subject><subject>risk</subject><subject>women</subject><subject>Womens health</subject><issn>1279-7707</issn><issn>1760-4788</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kE2PFCEQhonRuB_6A7woiZe9tBbQDc3RjJ_JJh50rxIaipHNNIzQHbP_Xia9GuPBE6TqeasqDyHPGLxiAOp1ZVyC6ID1HQySd_oBOWdKQtercXzY_lzpTilQZ-Si1luAftCjfEzO-DCCHkGdk29vIy623NGjXRYsqVKbPI3JRY_JIc2BejwWrDXm1OrUUpe_57KcOi7P85rictf5n3g4xLSn-eCx0J1N1keb6hPyKNhDxaf37yW5ef_u6-5jd_35w6fdm-vODWpYOhSBT6CHCSe0CmRwjgcXLHKHTjI-aRgC55MQImjde2F5H_ygfStpqZm4JFfb3GPJP1asi5ljde0mmzCv1TAplehHzoeGvvwHvc1rSe26RinOJRNybBTbKFdyrQWDOZY4N1GGgTnJN5t80-Sbk3yjW-b5_eR1mtH_Sfy23QC-AbW10h7LX6v_M_XFFgo2G7svsZqbLxyYBIBRCtaLX-QWmP0</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Gougeon, L</creator><creator>Payette, H</creator><creator>Morais, J</creator><creator>Gaudreau, P</creator><creator>Shatenstein, B</creator><creator>Gray-Donald, Katherine</creator><general>Springer Paris</general><general>Springer Nature B.V</general><scope>FBQ</scope><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>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</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>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20150401</creationdate><title>Dietary patterns and incidence of depression in a cohort of community-dwelling older Canadians</title><author>Gougeon, L ; Payette, H ; Morais, J ; Gaudreau, P ; Shatenstein, B ; Gray-Donald, Katherine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c575t-e3f2b095bebea706fcc2fcfae2cec612b905f22b333f994d3a24fd59d2b396913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Activities of daily living</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Antidepressants</topic><topic>body mass index</topic><topic>Canadians</topic><topic>cities</topic><topic>cognition</topic><topic>Depression - diagnosis</topic><topic>Depression - epidemiology</topic><topic>diet</topic><topic>Diet - statistics & numerical data</topic><topic>Disability</topic><topic>eating habits</topic><topic>education</topic><topic>elderly</topic><topic>Energy Intake</topic><topic>Exercise</topic><topic>Feeding Behavior</topic><topic>Female</topic><topic>Geriatric Assessment</topic><topic>Geriatrics</topic><topic>Geriatrics/Gerontology</topic><topic>Humans</topic><topic>hypertension</topic><topic>Incidence</topic><topic>life events</topic><topic>Logistic Models</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Marital status</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental depression</topic><topic>Neurosciences</topic><topic>Nutrition</topic><topic>Nutrition research</topic><topic>Nutritional Status</topic><topic>Older people</topic><topic>physical activity</topic><topic>Primary Care Medicine</topic><topic>Principal Component Analysis</topic><topic>Principal components analysis</topic><topic>Quality of Life Research</topic><topic>Quebec - epidemiology</topic><topic>regression analysis</topic><topic>Research centers</topic><topic>Residence Characteristics</topic><topic>risk</topic><topic>women</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gougeon, L</creatorcontrib><creatorcontrib>Payette, H</creatorcontrib><creatorcontrib>Morais, J</creatorcontrib><creatorcontrib>Gaudreau, P</creatorcontrib><creatorcontrib>Shatenstein, B</creatorcontrib><creatorcontrib>Gray-Donald, Katherine</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of nutrition, health & aging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gougeon, L</au><au>Payette, H</au><au>Morais, J</au><au>Gaudreau, P</au><au>Shatenstein, B</au><au>Gray-Donald, Katherine</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dietary patterns and incidence of depression in a cohort of community-dwelling older Canadians</atitle><jtitle>The Journal of nutrition, health & aging</jtitle><stitle>J Nutr Health Aging</stitle><addtitle>J Nutr Health Aging</addtitle><date>2015-04-01</date><risdate>2015</risdate><volume>19</volume><issue>4</issue><spage>431</spage><epage>436</epage><pages>431-436</pages><issn>1279-7707</issn><eissn>1760-4788</eissn><abstract>OBJECTIVES: To investigate the association of dietary patterns with a 3-year incidence of depression among healthy older adults. DESIGN: Multiple logistic regression models adjusted for age, sex, marital status, smoking, education, total energy intake, physical activity, body mass index, hypertension, functional autonomy, cognitive functioning, social activities, and stressful life events. Energy and macronutrient intakes were also analyzed as potential predictors of depression. SETTING: Cities of Montréal, Laval, and Sherbrooke in Quebec, CA. PARTICIPANTS: Community-dwelling older adults, free of depression at baseline (N=1,358, 67–84 y), followed for 3y in the Québec Longitudinal Study on Nutrition and Aging (NuAge). MEASUREMENTS: Dietary patterns derived from principal components analysis of three 24 h-recalls at baseline, and depression incidence as measured by the 30-item Geriatric Depression Scale (≥11) and/or use of antidepressants at follow-up years. RESULTS: 170 people (63% women) became depressed over the 3 years. People in the highest tertile of adherence to the “varied diet” had lower risk of depression before adjustment (OR 0.58, 98% C.I. 0.38–0.86) but not significant once age and sex were controlled. No other dietary pattern was associated with the incidence of depression. The highest tertile of energy intake was associated with lower depression incidence after controlling for all confounders (OR 0.55, 95%CI 0.34–0.87). CONCLUSION: Among healthy older adults, dietary patterns do not appear to be related to depression. Those who eat less, however, possibly reflecting declining health, are at higher risk of becoming depressed.</abstract><cop>Paris</cop><pub>Springer Paris</pub><pmid>25809807</pmid><doi>10.1007/s12603-014-0562-9</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Activities of daily living Aged Aged, 80 and over Aging Antidepressants body mass index Canadians cities cognition Depression - diagnosis Depression - epidemiology diet Diet - statistics & numerical data Disability eating habits education elderly Energy Intake Exercise Feeding Behavior Female Geriatric Assessment Geriatrics Geriatrics/Gerontology Humans hypertension Incidence life events Logistic Models Longitudinal Studies Male Marital status Medicine Medicine & Public Health Mental depression Neurosciences Nutrition Nutrition research Nutritional Status Older people physical activity Primary Care Medicine Principal Component Analysis Principal components analysis Quality of Life Research Quebec - epidemiology regression analysis Research centers Residence Characteristics risk women Womens health |
| title | Dietary patterns and incidence of depression in a cohort of community-dwelling older Canadians |
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