Zhang Yuzi, Janda Kathryn M, Ranjit Nalini, Salvo Deborah, Nielsen Aida, van den Berg Alexandra
UTHealth School of Public Health, Austin, TX 78701, USA.
Michael and Susan Dell Center for Healthy Living, Austin, TX 78701, USA.
Int J Environ Res Public Health. 2022 Jan 21;19(3):1194. doi: 10.3390/ijerph19031194.
This study examined longitudinal data to identify changes in the occurrence of depressive symptoms, and to explore if such changes were associated with socio-demographic, movement behaviors, and health variables during the COVID-19 pandemic, among a diverse sample of central Texas residents. Participants who completed two online surveys in 2020 (in June and November) from an on-going longitudinal study were included. Depressive symptoms were measured by Patient Health Questionnaire-2. Change in depressive symptoms' occurrence status between the two time points was categorized into (1) stable/improved, and (2) consistent depressive symptoms/declined. Sociodemographic factors, movement behaviors and health data were self-reported. Statistical analyses utilized descriptive statistics and logistical regression. Among a total of 290 individuals (84.1% female; 71.0% racial/ethnic minorities), 13.5% were categorized as consistent depressive symptoms/declined. Multivariable logistic regression indicated that racial/ethnic minorities, older age, and increased physical activity were associated with a lower likelihood, while greater sedentary time was associated with higher likelihood of consistent depressive symptoms/declined status. Between 3 months and 8 months into the pandemic, various socio-demographic and behavioral variables were associated with changes in depressive symptoms' occurrence status. Future research should explore the longer-term impacts of COVID-19 on depression among a diverse population and identify risk factors for depression.
本研究分析了纵向数据,以确定抑郁症状发生率的变化,并探讨在新冠疫情期间,德克萨斯州中部不同居民样本中,这些变化是否与社会人口统计学、运动行为和健康变量相关。纳入了在2020年(6月和11月)完成了两项在线调查的参与者,这些调查来自一项正在进行的纵向研究。抑郁症状通过患者健康问卷-2进行测量。两个时间点之间抑郁症状发生状态的变化分为:(1)稳定/改善,以及(2)持续抑郁症状/恶化。社会人口统计学因素、运动行为和健康数据均为自我报告。统计分析采用描述性统计和逻辑回归。在总共290名个体中(84.1%为女性;71.0%为少数族裔),13.5%被归类为持续抑郁症状/恶化。多变量逻辑回归表明,少数族裔、年龄较大和体育活动增加与较低的可能性相关,而久坐时间越长,持续抑郁症状/恶化状态的可能性越高。在疫情开始后的3个月至8个月期间,各种社会人口统计学和行为变量与抑郁症状发生状态的变化相关。未来的研究应探讨新冠疫情对不同人群抑郁症的长期影响,并确定抑郁症的风险因素。