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COVID‐19 related fear and depression of pregnant women and new mothers
Author(s) -
Fan Heidi Sze Lok,
Choi Edmond Pui Hang,
Ko Rachel Wai Tung,
Kwok Jojo Yan Yan,
Wong Janet Yuen Ha,
Fong Daniel Yee Tak,
Shek Noel Wan Man,
Ngan Hextan Yuen Sheung,
Li Junyan,
Huang Yiyan,
Ouyang YanQiong,
Lok Kris Yuet Wan
Publication year - 2021
Publication title -
public health nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.471
H-Index - 55
eISSN - 1525-1446
pISSN - 0737-1209
DOI - 10.1111/phn.13035
Subject(s) - patient health questionnaire , depression (economics) , medicine , odds ratio , confidence interval , pandemic , cross sectional study , covid-19 , public health , psychiatry , mental health , clinical psychology , depressive symptoms , anxiety , nursing , disease , pathology , infectious disease (medical specialty) , economics , macroeconomics
Objective To explore factors associated with depression and COVID‐19 related fear among pregnant women and new mothers. Design A cross‐sectional survey was conducted in China from July 2020 to July 2021. Sample A total of 3027 pregnant and new mothers were recruited. Measurement Sociodemographic characteristics and the perceptions of the COVID‐19 pandemic were collected. The Patient Health Questionnaire‐9 (PHQ‐9) and the Fear Scale was used to assess the depressive and fear level towards the COVID‐19 pandemic, respectively. Results Approximately 17.2% of the participants had depression (PHQ‐9 ≥10). In Hong Kong, participants who perceived that they have increased knowledge to prevent infection were less likely to have depression (adjusted odds ratio [aOR] = 0.83; 95% confidence interval [CI] = 0.74–0.94). There was no association between perceived severity if infected and severity of spread and the depression level in our sample. An inverse relationship was found between the COVID‐19 related fear level and perceived knowledge to prevent infection (Beta‐coefficient [β] = ‐0.20; 95% CI = ‐0.38 to ‐0.02). Conclusion Public health nurses need to promote accurate and up to date COVID‐19 related information at clinical and community settings and implement effective screening for depression and fear symptoms to identify these high‐risk groups to improve women's psychological well‐being.