Psychological distress among cancer survivors during implementation of a nationwide Movement Control Order over the COVID-19 pandemic

Research Square(2021)

引用 18|浏览10
暂无评分
摘要
Objectives This study aimed to investigate the psychological distress and its associated factors among cancer survivors in Malaysia during the COVID-19 pandemic. Methods An anonymous Internet-based study was conducted between 23 April and 26 June 2020. During the study period, the country underwent phase 3 and phase 4 of the Movement Control Order (MCO), Conditional Movement Control Order (CMCO), and Recovery Movement Control Order (RMCO). Psychological distress was measured using the Hospital Anxiety and Depression Scale (HADS), which is a 14-item self-assessment scale for measuring distress (total HADS score; HADS-T) with two subscales, namely, anxiety (HADS-A) and depression (HADS-D). Perceived threat of infection was measured based on the health belief model. Results From a total of 631 responses received, the proportion of participants with anxiety and depression symptoms (above threshold score of 8 on HADS-A and HADS-D) was 29.0 and 20.9%, respectively. Psychological distress (HADS-T > 16) was reported in 22.3% of the respondents. A total of 16.5% had combined anxiety and depression symptoms. The highest HADS-A (6.10; 95% CI 5.64–6.56), HADS-D (5.61; 95% CI 5.14–6.08), and HADS-T (11.71; 95% CI 10.84–12.58) scores were reported among respondents during phase 4 of the MCO. Partial least square-based structural equation modelling (PLS-SEM) revealed that self-perceived health status, perceived susceptibility, and severity of COVID-19 have the greatest effect, leading to higher HADS-A, HADS-D, and HADS-T scores. Conclusion Heightened psychological distress was evident in cancer survivors particularly during the enforcement of the MCO over COVID-19. Providing support to address cancer survivors’ psychological and emotional needs during the COVID-19 pandemic is essential.
更多
查看译文
关键词
Cancer survivors,COVID-19 pandemic,Psychological distress
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要