The association between body fat percentage and self-reported depression in the United Arab Emirates
The association between body fat percentage and self-reported depression in the United Arab Emirates
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DOI：
10.1093/eurpub/ckac131.133
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发表时间：
2022-10-25
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阿拉伯联合酋长国健康未来研究（UAEHFS）是该地区首批大型前瞻性队列研究之一，旨在调查阿联酋成年国民慢性疾病的原因和风险因素。本研究的目的是探讨体脂率（BF%）与8项患者健康问卷（PHQ-8）作为UAEHFS试点研究参与者抑郁症筛查工具的关系。我们分析了UAEHFS试点数据，以调查BF%和PHQ-8在年龄和性别调整后的关系。我们采用多元逻辑有序回归模型。为了估算缺失值，采用分类回归树多元估算方法进行了100次多重估算（MI）。采用R统计软件（4.2.0版）进行统计分析。在517名参与者中，剔除未填写问卷的参与者后，分析了487名（94.2%）的数据。中位年龄为30岁（四分位数范围：23 - 38）。在UAEHF试点数据中，男性多于女性（67.8%）。大约64人（13.1%）报告抑郁。研究人群中肥胖患病率为35.2%。从拟合的多变量logistic有序回归模型中估计的BF%的比值比分别为OR = 1.046 （95% CI: 1.012-1.08）和OR = 1.03 （95% CI: 1.003-1.057）。高体脂率与报告抑郁的高风险有统计学上的显著关联。需要更多的研究，使用主要的UAEHFS数据（在招募完成后），进一步调查体脂百分比与抑郁症之间的关系。•我们的研究结果有助于了解阿联酋和海湾地区当前和潜在的人口心理健康状况。•这项研究的主要发现是，体内脂肪过多与患抑郁症的风险增加有关，反之亦然；因此，这可能会增加心理健康研究的未来方向。
The United Arab Emirates Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies in the region which examines causes and risk factors for chronic diseases among adult UAE nationals. The aim of this study was to explore the relationship between body fat percentage (BF%) and the eight-item Patient Health Questionnaire (PHQ-8) as a screening instrument for depression among the UAEHFS pilot study participants. We analyzed the UAEHFS pilot data to investigate the association between BF% and PHQ-8 adjusted for age and gender. We used multivariate logistic ordinal regression model. To impute missing values, 100 multiple imputations (MI) were performed using multivariate imputation of classification and regression tree. The statistical analysis was performed using R Statistical Software (version 4.2.0) Out of 517 participants, data from 487 (94.2%) were analyzed after excluding participants who didn't fill out the questionnaires. The median age was 30 years (Interquartile Range: 23 - 38). There were more males (67.8%) than females in the UAEHF pilot data. Approximately, 64 (13.1%) of the participant reported depression. The prevalence of obesity was 35.2% in this study population. The estimated odds ratio of BF% from the fitted multivariate logistic ordinal regression model was OR = 1.046 (95% CI: 1.012-1.08), and OR = 1.03 (95% CI: 1.003-1.057) for the omitted data, and MI (sensitivity analysis) respectively. High body fat percentage was statistically significantly associated with high risk of reporting depression. Additional research is needed, using the main UAEHFS data (after recruitment is complete), to further investigate the association between body fat percentage and depression. • Our results can help contribute to the knowledge based on current and potential population mental health in the UAE and Gulf Region. • The main finding of this study that excess body fat is associated with an increased risk of developing depression and vice versa; thus, this could add to the future direction of mental health research.