Seoul National University Hospital, Seoul, Republic of Korea.
Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
BMC Public Health. 2022 Sep 16;22(1):1757. doi: 10.1186/s12889-022-14176-8.
The COVID-19 pandemic has changed peoples' routine of daily living and posed major risks to global health and economy. Few studies have examined differential impacts of economic factors on health during pandemic compared to pre-pandemic. We aimed to compare the strength of associations between perceived health and socioeconomic position (household income, educational attainment, and employment) estimated before and during the pandemic.
Two waves of nationwide survey [on 2018(T1;n = 1200) and 2021(T2;n = 1000)] were done for 2200 community adults. A balanced distribution of confounders (demographics and socioeconomic position) were achieved across the T2 and T1 by use of the inverse probability of treatment weighting. Distributions of perceived health [= (excellent or very good)/(bad, fair, or good)] for physical-mental-social-spiritual subdomains were compared between T1 and T2. Odds of bad/fair/good health for demographics and socioeconomic position were obtained by univariate logistic regression. Adjusted odds (aOR) of bad/fair/good health in lower household income(< 3000 U.S. dollars/month) were retrieved using the multiple hierarchical logistic regression models of T1 and T2.
Perceived health of excellent/very good at T2 was higher than T1 for physical(T1 = 36.05%, T2 = 39.13%; P = 0.04), but were lower for mental(T1 = 38.71%, T2 = 35.17%; P = 0.01) and social(T1 = 42.48%, T2 = 35.17%; P < 0.001) subdomains. Odds of bad/fair/good health were significantly increased at T2 than T1 for household income (physical-mental-social; all Ps < 0.001) and educational attainment (social; P = 0.04) but not for employment (all Ps > 0.05). AORs of bad/fair/good health in lower household income were stronger in T2 than T1, for mental [aOR (95% CI) = 2.15(1.68-2.77) in T2, 1.33(1.06-1.68) in T1; aOR difference = 0.82(P < 0.001)], physical [aOR (95% CI) = 2.64(2.05-3.41) in T2, 1.50(1.18-1.90) in T1; aOR difference = 1.14(P < 0.001)] and social [aOR (95% CI) = 2.15(1.68-2.77) in T2, 1.33(1.06-1.68) in T1; aOR difference = 0.35(P = 0.049)] subdomains.
Risks of perceived health worsening for mental and social subdomains in people with lower monthly household income or lower educational attainment became stronger during the COVID-19 pandemic compared to pre-pandemic era. In consideration of the prolonged pandemic as of mid-2022, policies aiming not only to sustain the monthly household income and compulsory education but also to actively enhance the perceived mental-social health status have to be executed and maintained.
新冠疫情改变了人们的日常生活习惯,对全球健康和经济造成了重大威胁。很少有研究比较疫情期间和疫情前经济因素对健康的不同影响。本研究旨在比较疫情期间和疫情前感知健康与社会经济地位(家庭收入、教育程度和就业)之间关联强度。
对 2200 名社区成年人进行了两次全国性调查(2018 年[T1;n=1200]和 2021 年[T2;n=1000])。通过使用逆概率治疗加权,在 T2 和 T1 之间实现了混杂因素(人口统计学和社会经济地位)的均衡分布。比较了 T1 和 T2 之间身体-心理-社会-精神亚领域的感知健康分布[=(优秀或非常好)/(差、一般或好)]。使用单变量逻辑回归获得了人口统计学和社会经济地位的不良/一般/良好健康的比值比。使用 T1 和 T2 的多个层次逻辑回归模型,获得了低收入家庭(<3000 美元/月)不良/一般/良好健康的调整比值比。
T2 的身体亚领域的优秀/非常好的感知健康高于 T1(T1=36.05%,T2=39.13%;P=0.04),但心理(T1=38.71%,T2=35.17%;P=0.01)和社会(T1=42.48%,T2=35.17%;P<0.001)亚领域的感知健康较低。与 T1 相比,T2 的家庭收入(身体-心理-社会;所有 P<0.001)和教育程度(社会;P=0.04)的不良/一般/良好健康的比值比显著增加,但就业(所有 P>0.05)则没有。T2 的家庭收入较低的不良/一般/良好健康的比值比在 T2 比 T1 更强,心理方面[比值比(95%可信区间)=2.15(1.68-2.77)在 T2,1.33(1.06-1.68)在 T1;比值比差异=0.82(P<0.001)],身体方面[比值比(95%可信区间)=2.64(2.05-3.41)在 T2,1.50(1.18-1.90)在 T1;比值比差异=1.14(P<0.001)]和社会方面[比值比(95%可信区间)=2.15(1.68-2.77)在 T2,1.33(1.06-1.68)在 T1;比值比差异=0.35(P=0.049)]。
与疫情前相比,在新冠疫情期间,月家庭收入较低或教育程度较低的人群的心理和社会亚领域感知健康恶化的风险增加。考虑到截至 2022 年年中,疫情仍在持续,不仅要维持月家庭收入和义务教育,还要积极加强感知心理健康状况,必须执行和维持相关政策。