Ping Wang, Jiawei Liu, Ye Ju, Zilan Chen, Yuqi Pang, Zihao Li, Hongxia Xia, Ting Liu, Maoyao Xia, Yangdan Zhong, Yang Qu, Jiaojiao Hou, Xia Jiang
Despite an overall association between SSBs and depression, separate analysis by study design has yielded inconsistent findings, with a statistically significant estimate found in cross-sectional but not in cohort studies. Future research should focus on longitudinal studies with longer follow-up periods.
BACKGROUND: Research on the association between sugar-sweetened beverages (SSBs) and depression has advanced, but most studies are cross-sectional and focus on adults. This meta-analysis assesses their association in youth using observational data.
METHODS: We searched Ovid Cochrane, Ovid Embase, Ovid Medline, and PsycINFO databases up until December 2024 for relevant studies. Two reviewers performed data extraction and assessed the risk of bias. A random-effects model calculated the pooled odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses were conducted to explore heterogeneity.
RESULTS: A total of 19 articles with 26 independent studies were included, totaling 275,168 participants with an average age of 16.1 years (range 11-25). Overall, a statistically significant pooled estimate was observed in youth (OR = 1.28, 95%CI = 1.16-1.41; I2 = 94.3%). When separated by study design, cross-sectional studies yielded a statistically significant pooled estimate with considerable heterogeneity (OR = 1.33, 95%CI = 1.18-1.50, I2 = 94.5%), whereas the pooled estimate from cohort studies was not statistically significant (OR = 1.13, 95%CI = 0.97-1.31, I2 = 69.1%), consistent across both adolescents and young adults. Results from subgroup analyses revealed that region, measurement of exposure, type of outcome, and follow-up period (for cohort studies only) may be the sources of heterogeneity (all Pinteraction< 0.05).
CONCLUSION: Despite an overall association between SSBs and depression, separate analysis by study design has yielded inconsistent findings, with a statistically significant estimate found in cross-sectional but not in cohort studies. Future research should focus on longitudinal studies with longer follow-up periods.