Symptoms of depression among outpatients with suspected COVID-19 in metropolitan Local Government Areas of Kaduna State, Nigeria
PLOS ONE(2024)
摘要
Background The novel SARS-CoV-2 virus that causes Coronavirus disease (COVID-19) has redefined global health and response to Acute Respiratory Infection (ARI). The outbreak of a cluster of influenza-like illnesses in Wuhan, China, has morphed into a pandemic in the last quarter of 2019, stretching from South East Asia to Europe, The Americas, Africa, and the Australian subcontinent. We evaluated the prevalence of depression among outpatients diagnosed with ARI.Materials and methods We utilized a cross-sectional, observational design and investigated the prevalence of symptoms of depression among outpatients with ARI and described the characteristics of outpatients with ARI in Kaduna State.Results The prevalence of symptoms of depression was 19.6% for respondents with symptoms of ARI and 14.4% for those without symptoms of ARI. On no risk of depression, we had a higher proportion of the respondents without symptoms of ARI (86%) than those with symptoms of depression (80%) (M = 318.4, SD = 29.62 case, and M = 344.0, SD = 14.2 control, r = 0.88, CI = 13.5 to 6.5, P = 0.000952). Likewise, in the category with mild risk of depression, respondents without symptoms of ARI were fewer (10%) than those with symptoms of depression (15%) (M = 58.4, SD = 26.0 case, and M = 42.1, SD = 12.7 control, r = 0.86, CI = 11.8 to 5.8, P = 0.0136. There was no significant difference between respondents with symptoms of ARI and without symptoms of ARI in the categories of moderate (M = 13.6, SD = 5.1 case, and M = 11.6, SD = 4.6 control, r = 0.87, CI = 2.3 to 2.1, P = 0.178) and high (M = 5.6, SD = 2.5 case, and M = 4.4, SD = 3.2 control, r = 0.61, CI = 1.2 to 1.5, P = 0.174) risk of depression.Conclusion Symptoms of depression were commoner among respondents who presented with symptoms of Acute Respiratory Infection (ARI) at the Outpatient Department (OPD). However, further explanatory research is needed to establish causality.
更多查看译文
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要