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Dietary patterns and depression risk in older adults: systematic review and meta-analysis.
- Source :
- Nutrition Reviews; Sep2021, Vol. 79 Issue 9, p976-987, 12p
- Publication Year :
- 2021
-
Abstract
- Context Diet may be one of the modifiable environmental factors that could reduce depressive symptoms or abate the development of depression without side effects. However, previous reviews mainly focused on general adult populations. Objective The aim of this systematic review and meta-analysis was to explore the association between healthy dietary patterns and depression risk in older adults. Data Sources Eight databases were searched up to September 2019. The inclusion criteria were older adults aged ≥ 65 years, healthy dietary patterns, depression assessed by a physician or by validated screening tools, and quantitative study design. Data Extraction Data were extracted independently by 2 researchers, and the Preferred Reporting Items for Systematic Reviews and Meta-analyses guideline was followed. Data Analysis Meta-analysis was conducted by calculating the pooled odds ratio (OR) and 95% CIs. A total of 18 eligible studies were meta-analyzed. Results showed that a healthy dietary pattern is associated with a reduced risk of depression in older adults (OR, 0.85; 95%CI, 0.78–0.92; P < 0.001). There was high heterogeneity (I <superscript>2</superscript> = 64.9%; P < 0.001) among the studies. Subgroup analyses indicated that sample size and depression screening tools were the main sources of study heterogeneity. Conclusions An inverse association between healthy dietary patterns and depression risk in older adults was found. However, the high heterogeneity among the studies should be considered. Systematic Review Registration PROSPERO registration no. CRD 42020169195. [ABSTRACT FROM AUTHOR]
- Subjects :
- MENTAL depression risk factors
FOOD habits
ONLINE information services
CINAHL database
META-analysis
CONFIDENCE intervals
MEDICAL information storage & retrieval systems
INFORMATION storage & retrieval systems
MEDICAL databases
SYSTEMATIC reviews
QUANTITATIVE research
RESEARCH funding
DESCRIPTIVE statistics
RISK management in business
ODDS ratio
MEDLINE
DATA analysis software
OLD age
Subjects
Details
- Language :
- English
- ISSN :
- 00296643
- Volume :
- 79
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Nutrition Reviews
- Publication Type :
- Academic Journal
- Accession number :
- 151904104
- Full Text :
- https://doi.org/10.1093/nutrit/nuaa118