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Associations of Long-Term Tea Consumption with Depressive and Anxiety Symptoms in Community-Living Elderly: Findings from the Diet and Healthy Aging Study
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Number of Authors: 92018 (English)In: The Journal of prevention of Alzheimer's disease, ISSN 2274-5807, Vol. 5, no 1, p. 21-25Article in journal (Refereed) Published
Abstract [en]

OBJECTIVE: To examine the association between long-term tea consumption and depressive and anxiety symptoms in community-living elderly. DESTGN: Community based cross-sectional study. SETTING: The Diet and Healthy Aging Study (DaHA), a prospective cohort study in Singapore. PARTICIPANTS: 614 elderly aged 60 years and above, who were free of dementia and cognitive impairment. MEASUREMENTS: Information on tea consumption was obtained through interviewer-administered questionnaire. Long-term tea drinking was defined as regular consumption for at least 15 years. Depressive and anxiety symptoms were measured using the 15-item Geriatric Depression Scale (GDS-15) and the 20-item Geriatric Anxiety Inventory (GAI), respectively. A generalized structural equation model (gSEM) was applied to ascertain the association between long-term tea consumption and depressive and anxiety symptoms. RESULTS: About 59% of the subjects had consumed tea for over 15 years. Long term tea consumption was significantly associated with a reduced odds of having depressive and anxiety symptoms, after adjusting for demographics (i.e., age, gender, education and ethnicity), comorbid conditions (i.e., heart disease, diabetes, stroke, hypertension and hyperlipidaemia) and long-term coffee consumption. CONCLUSION: There was evidence suggesting that long-term tea consumption was associated with reduced depressive and anxiety symptoms among community-living elderly. This suggests that it is worthwhile to further investigate the role of tea's bioactive compounds in promoting mental health in aging.

Place, publisher, year, edition, pages
2018. Vol. 5, no 1, p. 21-25
Keywords [en]
Tea, aging, depression, anxiety, generalized structural equation model
National Category
Neurosciences Neurology
Identifiers
URN: urn:nbn:se:su:diva-167510DOI: 10.14283/jpad.2017.20ISI: 000461785200005PubMedID: 29405228OAI: oai:DiVA.org:su-167510DiVA, id: diva2:1300948
Available from: 2019-04-01 Created: 2019-04-01 Last updated: 2019-04-01Bibliographically approved

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CiteExportLink to record
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