Research School of Population Health, Australian National University, Canberra, ACT, Australia.
School of Economics, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.
Lancet Public Health. 2022 May;7(5):e427-e436. doi: 10.1016/S2468-2667(22)00082-2. Epub 2022 Apr 21.
Many studies have examined population mental health during the COVID-19 pandemic but have been unable to isolate the direct effect of lockdowns. The aim of this study was to examine changes in the mental health of Australians aged 15 years and older during the COVID-19 pandemic using a quasi-experimental design to disentangle the lockdown effect.
We analysed data from ten annual waves (2011-20) of the longitudinal Household, Income and Labour Dynamics in Australia (HILDA) Survey to identify changes in the mental health of respondents from the pre-COVID-19 period (2011-19) to the COVID-19 period (2020). Difference-in-differences models were used to compare these changes between respondents in the state of Victoria who were exposed to lockdown at the time of the 2020 interviews (treatment group) and respondents living elsewhere in Australia (who were living relatively free of restrictions; control group). The models included state, year (survey wave), and person-specific fixed effects. Mental health was assessed using the five-item Mental Health Inventory (MHI-5), which was included in the self-complete questionnaire administered during the survey.
The analysis sample comprised 151 583 observations obtained from 20 839 individuals from 2011 to 2020. The treatment group included 3568 individuals with a total of 37 578 observations (34 010 in the pre-COVID-19 and 3568 in the COVID-19 period), and the control group included 17 271 individuals with 114 005 observations (102 867 in the pre-COVID-19 and 11 138 in the COVID-19 period). Mean MHI-5 scores did not differ between the treatment group (72·9 points [95% CI 72·8-73·2]) and control group (73·2 points [73·1-73·3]) in the pre-COVID-19 period. In the COVID-19 period, decreased mean scores were seen in both the treatment group (69·6 points [69·0-70·2]) and control group (70·8 points [70·5-71·2]). Difference-in-differences estimation showed a small but statistically significant effect of lockdown on MHI-5 scores, with greater decline for residents of Victoria in 2020 than for those in the rest of Australia (difference -1·4 points [95% CI -1·7 to -1·2]). Stratified analyses showed that this lockdown effect was larger for females (-2·2 points [-2·6 to -1·7]) than for males (-0·6 [-0·8 to -0·5]), and even larger for women in couples with children younger than 15 years (-4·4 points [-5·0 to -3·8]), and for females who lived in flats or apartments (-4·1 points [-5·4 to -2·8]) or semi-detached houses, terraced houses, or townhouses (-4·8 points [-6·4 to -3·2]).
The imposition of lockdowns was associated with a modest negative change in overall population mental health. The results suggest that the mental health effects of lockdowns differ by population subgroups and for some might have exaggerated existing inequalities in mental health. Although lockdowns have been an important public health tool in suppressing community transmission of COVID-19, more research is needed into the potential psychosocial impacts of such interventions to inform their future use.
US National Institutes of Health.
许多研究都考察了 COVID-19 大流行期间的人群心理健康状况,但未能分离封锁对其的直接影响。本研究旨在使用准实验设计,从澳大利亚 15 岁及以上人群的心理健康在 COVID-19 大流行期间的变化中,对封锁的影响进行分析。
我们分析了澳大利亚纵向家庭、收入和劳动力动态调查(HILDA)的十个年度波次(2011-20 年)的数据,以确定 COVID-19 大流行前时期(2011-19 年)和 COVID-19 大流行时期(2020 年)受访者心理健康的变化。采用差值法比较维多利亚州受访者(在 2020 年访谈时处于封锁状态,为治疗组)和澳大利亚其他地区的受访者(相对不受限制,为对照组)的这些变化。该模型包括州、年(调查波次)和个人特定固定效应。使用包括在自我完成问卷中的五项心理健康量表(MHI-5)评估心理健康。
分析样本包括 2011 年至 2020 年期间从 20839 人获得的 151583 个观测值。治疗组包括 3568 名个体,共 37578 个观测值(COVID-19 大流行前时期 34010 个,COVID-19 大流行时期 3568 个),对照组包括 17271 名个体,共 114005 个观测值(COVID-19 大流行前时期 102867 个,COVID-19 大流行时期 11138 个)。在 COVID-19 大流行前时期,治疗组(72.9 分[95%CI 72.8-73.2])和对照组(73.2 分[73.1-73.3])的 MHI-5 平均得分无差异。在 COVID-19 大流行期间,两组的平均得分均下降,治疗组为 69.6 分(69.0-70.2),对照组为 70.8 分(70.5-71.2)。差值法估计显示,封锁对 MHI-5 评分有较小但有统计学意义的影响,维多利亚州居民的下降幅度大于澳大利亚其他地区的居民(差值-1.4 分[95%CI-1.7 至-1.2])。分层分析表明,这种封锁效应在女性中更大(-2.2 分[-2.6 至-1.7]),而在男性中则较小(-0.6 分[-0.8 至-0.5]),在有 15 岁以下儿童的夫妇中更大(-4.4 分[-5.0 至-3.8]),在居住在公寓或公寓楼中的女性中更大(-4.1 分[-5.4 至-2.8])或半独立式房屋、排屋或联排别墅中更大(-4.8 分[-6.4 至-3.2])。
实施封锁与整体人口心理健康的适度负向变化相关。结果表明,封锁对人口亚组的心理健康影响不同,对于某些人群,可能会夸大心理健康方面的现有不平等。尽管封锁是抑制 COVID-19 社区传播的重要公共卫生工具,但需要进一步研究此类干预措施的潜在社会心理影响,为其未来使用提供信息。
美国国立卫生研究院。