Jiahui Jin, Daniel W L Lai, Elsie Yan, Vincent W P Lee
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Repeated measures ANOVA, cross-lagged path modeling, and mediation model were employed to assess temporal relationships among adherence, anti-pandemic fatigue, and depression.</p><p><strong>Results: </strong>Adherence at T3 significantly predicted T4's anti-pandemic fatigue (<i>B</i> = 0.196, SE = 0.055) and depression (<i>B</i> = 1.690, SE = 0.247), and anti-pandemic fatigue significantly predicted T4's depression (<i>B</i> = 0.684, SE = 0.260). These effects diminished at later waves, reflecting psychological relief as restrictions eased. Notably, adherence was found to increase anti-pandemic fatigue, which in turn exacerbated depressive symptoms.</p><p><strong>Conclusion: </strong>While relationships varied over the 3 time points, the longitudinal design has clarified the causal inference. The study highlights the mental toll of prolonged restrictions and emphasizes the importance of designing integrative strategies that support adherence while addressing fatigue and depression. These findings offer actionable insights for primary care and community health programs in managing future public health emergencies.</p>","PeriodicalId":46723,"journal":{"name":"Journal of Primary Care and Community Health","volume":"16 ","pages":"21501319251334207"},"PeriodicalIF":2.5000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12033405/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Mental Health Paradox of COVID-19 Prevention: Adherence, Fatigue, and Depression in a Longitudinal Perspective.\",\"authors\":\"Jiahui Jin, Daniel W L Lai, Elsie Yan, Vincent W P Lee\",\"doi\":\"10.1177/21501319251334207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>The COVID-19 pandemic presented significant challenges, particularly the psychological impact of prolonged preventive measures. This study aimed to explore the longitudinal relationships among adherence, anti-pandemic fatigue, and depression, focusing on how these dynamics evolved.</p><p><strong>Methods: </strong>A prospective longitudinal survey was conducted among 627 adults in Hong Kong during the pandemic across 3 waves. Repeated measures ANOVA, cross-lagged path modeling, and mediation model were employed to assess temporal relationships among adherence, anti-pandemic fatigue, and depression.</p><p><strong>Results: </strong>Adherence at T3 significantly predicted T4's anti-pandemic fatigue (<i>B</i> = 0.196, SE = 0.055) and depression (<i>B</i> = 1.690, SE = 0.247), and anti-pandemic fatigue significantly predicted T4's depression (<i>B</i> = 0.684, SE = 0.260). These effects diminished at later waves, reflecting psychological relief as restrictions eased. Notably, adherence was found to increase anti-pandemic fatigue, which in turn exacerbated depressive symptoms.</p><p><strong>Conclusion: </strong>While relationships varied over the 3 time points, the longitudinal design has clarified the causal inference. The study highlights the mental toll of prolonged restrictions and emphasizes the importance of designing integrative strategies that support adherence while addressing fatigue and depression. 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引用次数: 0
摘要
目标:2019冠状病毒病大流行带来了重大挑战,特别是长期预防措施的心理影响。本研究旨在探讨依从性、抗流行病疲劳和抑郁之间的纵向关系,重点关注这些动态是如何演变的。方法:对香港627名成年人进行前瞻性纵向调查。采用重复测量方差分析、交叉滞后路径模型和中介模型来评估依从性、抗流行病疲劳和抑郁之间的时间关系。结果:坚持T3可显著预测T4的抗流感疲劳(B = 0.196, SE = 0.055)和抑郁(B = 1.690, SE = 0.247),抗流感疲劳可显著预测T4的抑郁(B = 0.684, SE = 0.260)。这些影响在后来的波浪中减弱,反映了限制放松后心理上的缓解。值得注意的是,研究发现,坚持服药会增加抗大流行疲劳,从而加剧抑郁症状。结论:虽然关系在3个时间点上有所不同,但纵向设计澄清了因果推论。该研究强调了长期限制的精神代价,并强调了设计综合策略的重要性,在解决疲劳和抑郁的同时支持坚持。这些发现为初级保健和社区卫生项目管理未来突发公共卫生事件提供了可行的见解。
The Mental Health Paradox of COVID-19 Prevention: Adherence, Fatigue, and Depression in a Longitudinal Perspective.
Objectives: The COVID-19 pandemic presented significant challenges, particularly the psychological impact of prolonged preventive measures. This study aimed to explore the longitudinal relationships among adherence, anti-pandemic fatigue, and depression, focusing on how these dynamics evolved.
Methods: A prospective longitudinal survey was conducted among 627 adults in Hong Kong during the pandemic across 3 waves. Repeated measures ANOVA, cross-lagged path modeling, and mediation model were employed to assess temporal relationships among adherence, anti-pandemic fatigue, and depression.
Results: Adherence at T3 significantly predicted T4's anti-pandemic fatigue (B = 0.196, SE = 0.055) and depression (B = 1.690, SE = 0.247), and anti-pandemic fatigue significantly predicted T4's depression (B = 0.684, SE = 0.260). These effects diminished at later waves, reflecting psychological relief as restrictions eased. Notably, adherence was found to increase anti-pandemic fatigue, which in turn exacerbated depressive symptoms.
Conclusion: While relationships varied over the 3 time points, the longitudinal design has clarified the causal inference. The study highlights the mental toll of prolonged restrictions and emphasizes the importance of designing integrative strategies that support adherence while addressing fatigue and depression. These findings offer actionable insights for primary care and community health programs in managing future public health emergencies.