Longitudinal pathways between childhood BMI, body dissatisfaction, and adolescent depression: an observational study using the UK Millenium Cohort Study.

Longitudinal pathways between childhood BMI, body dissatisfaction, and adolescent depression: an observational study using the UK Millenium Cohort Study.
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儿童体重指数、身体不满意和青少年抑郁之间的纵向路径:一项利用英国千禧队列研究进行的观察性研究。

DOI:
10.1016/s2215-0366(23)00365-6
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发表时间:
2024
期刊:
The lancet. Psychiatry
影响因子:
--
通讯作者:
Blundell E
Blundell E
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作者:
Blundell E

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背景全球范围内,与过去相比,更多的青少年出现了抑郁症状。高BMI是抑郁症状的风险因素,可能通过增加身体不满而起作用。这些关联的强有力的纵向证据可能有助于为预防性干预提供信息,但这种证据仍然很少。我们调查了7岁的BMI与14岁的抑郁症状(目标1)、7岁的BMI与11岁的身体不满(目标2)、11岁的身体不满和14岁的抑郁(目标3)之间的纵向联系。我们还调查了身体不满在多大程度上调节了BMI和抑郁症状之间的联系(目标4)。方法本研究使用了千禧年队列研究的数据,该研究是2000年9月1日至2002年1月11日期间出生的英国儿童的一个具有代表性的纵向总体队列。我们使用单变量和多变量线性回归模型来研究目标1-3中的相关性,对一系列儿童水平和家庭水平的混杂因素进行调整。对于调解分析,我们使用了非参数g公式(目标4)。我们报告了存在性别差异的分层结果。所有分析都是基于拥有完整体重指数数据的参与者,并归因于混杂因素和结果。结果我们的样本包括13名 135名参与者。其中男性6 624人(50·4%),女性6 511人(49·6%),白人11人(84·4%),少数族裔2 039人(15·6%)。基线时,平均年龄为7.2岁(SD0.25,范围6.3-8.3)。在多变量模型中,7岁时BMI的SD增加与14岁时更严重的抑郁症状(估计回归系数为0·30,95%CI为0·17-0·43)和11岁时更大的身体不满(系数为0·15,0·12-0·18)相关。11岁时较大的身体不满足感与14岁时较高的抑郁症状相关(系数0·60,0·52-0·68)。所有这些联系在女孩中都是男孩的两倍。身体不满解释了BMI和女孩抑郁之间43%的联系。说明我们的研究结果与旨在儿童时期减肥和减少身体不满的干预措施有关。实施循证的身体形象干预措施和确定体重污名的驱动因素应是关键的公共卫生优先事项。旨在减少儿童体重的干预措施需要避免增加身体的不满,应该针对环境因素导致体重增加,而不是针对个人。基金会惠康信托、皇家学会、经济和社会研究理事会以及国家健康和护理研究所。
BackgroundGlobally, more adolescents are having depressive symptoms than in the past. High BMI is a risk factor for depressive symptoms, potentially acting via increased body dissatisfaction. Robust longitudinal evidence of these associations could help to inform preventive interventions, but such evidence remains scarce. We investigated the longitudinal associations between BMI at age 7 years and depressive symptoms at age 14 years (objective 1), BMI at age 7 years and body dissatisfaction at age 11 years (objective 2), and body dissatisfaction at age 11 years and depression at age 14 years (objective 3). We also investigated the extent to which body dissatisfaction mediated the association between BMI and depressive symptoms (objective 4).MethodsThis study used data from the Millennium Cohort Study, a representative longitudinal general population cohort of UK children born between Sept 1, 2000, and Jan 11, 2002. We used univariable and multivariable linear regression models to investigate the associations in objectives 1–3 adjusting for a range of child-level and family-level confounders. For mediation analyses we used non-parametric g-formula (objective 4). We reported stratified results in presence of sex differences. All analyses were based on participants with complete BMI data and imputed confounders and outcomes.FindingsOur sample included 13 135 participants. Of these, 6624 (50·4%) were male participants and 6511 (49·6%) were female participants; 11 096 (84·4%) were of White ethnicity and 2039 (15·6%) were from a minority ethnic background. At baseline, mean age was 7·2 years (SD 0·25, range 6·3–8·3). In multivariable models, an SD increase in BMI at age 7 years was associated with greater depressive symptoms at age 14 years (estimated regression coefficient [coeff]: 0·30, 95% CI 0·17–0·43) and greater body dissatisfaction at age 11 years (coeff 0·15, 0·12–0·18). Greater body dissatisfaction at age 11 years was associated with higher depressive symptoms at age 14 years (coeff 0·60, 0·52–0·68). All these associations were twice as large in girls as in boys. Body dissatisfaction explained 43% of the association between BMI and depression in girls.InterpretationOur findings bear relevance for interventions aimed at reducing weight in childhood and reducing body dissatisfaction. Implementation of evidence-based body image interventions and identification of drivers of weight stigma should be key public health priorities. Interventions aiming to reduce weight in childhood need to avoid increasing body dissatisfaction and should target environmental drivers of weight rather than individuals.FundingWellcome Trust; The Royal Society; Economic and Social Research Council; and the National Institute for Health and Care Research.
DOI: 10.1093/ije/dyz006
发表时间: 2019-10-01
影响因子: 7.7
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