ArticleInternational journal of environmental research and public health2021
Which Risk Factors Matter More for Psychological Distress during the COVID-19 Pandemic? An Application Approach of Gradient Boosting Decision Trees.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Women's mental health and COVID-19: increased vulnerability and inequalities.Frontiers in global women's health · 2024Pooled it
- A method for predicting student psychological health based on behavioral time series analysis.Frontiers in psychiatry · 2026Article
- Predicting distant metastasis in nasopharyngeal carcinoma using gradient boosting tree model based on detailed magnetic resonance imaging reports.World journal of radiology · 2024Article
- Socioeconomic disparities in risk perceptions and precautionary actions against COVID-19 among the working age population aged 18-59 in Japan: a cross-sectional study.BMJ public health · 2024Article
- How do neighborhood environments impact adolescent health: a comprehensive study from subjective and objective perspectives using machine learning method.Frontiers in public health · 2024Article
- Natural environments, psychosocial health, and health behaviors in a crisis - A scoping review of the literature in the COVID-19 context.Journal of environmental psychology · 2023Article
- Prediction of Mental Health Problem Using Annual Student Health Survey: Machine Learning Approach.JMIR mental health · 2023Article
- Lifestyle, Demographic and Socio-Economic Determinants of Mental Health Disorders of Employees in the European Countries.International journal of environmental research and public health · 2022Article
- The Promotion and Optimization of Bank Financial Products Using Consumers' Psychological Perception.Frontiers in psychology · 2022Article
- The Interplay between Housing Environmental Attributes and Design Exposures and Psychoneuroimmunology Profile-An Exploratory Review and Analysis Paper in the Cancer Survivors' Mental Health Morbidity Context.International journal of environmental research and public health · 2021Review
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2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundA growing body of scientific literature indicates that risk factors for COVID-19 contribute to a high level of psychological distress. However, there is no consensus on which factors contribute more to predicting psychological health.
objectivesThe present study quantifies the importance of related risk factors on the level of psychological distress and further explores the threshold effect of each rick factor on the level of psychological distress. Both subjective and objective measures of risk factors are considered in the model.
methodsWe sampled 937 individual items of data obtained from an online questionnaire between 20 January and 13 February 2020 in China. Objective risk factors were measured in terms of direct distance from respondents' housing to the nearest COVID-19 hospital, direct distance from respondents' housing to the nearest park, and the air quality index (AQI). Perceived risk factors were measured in regard to perceived distance to the nearest COVID-19 hospital, perceived air quality, and perceived environmental quality. Psychological distress was measured with the Kessler psychological distress scale K6 score. The following health risk factors and sociodemographic factors were considered: self-rated health level, physical health status, physical activity, current smoker or drinker, age, gender, marital status, educational attainment level, residence location, and household income level. A gradient boosting decision tree (GBDT) was used to analyse the data.
resultsHealth risk factors were the greatest contributors to predicting the level of psychological distress, with a relative importance of 42.32% among all influential factors. Objective risk factors had a stronger predictive power than perceived risk factors (23.49% vs. 16.26%). Furthermore, it was found that there was a dramatic rise in the moderate level of psychological distress regarding the threshold of AQI between 40 and 50, and 110 and 130, respectively. Gender-sensitive analysis revealed that women and men responded differently to psychological distress based on different risk factors.
conclusionWe found evidence that perceived indoor air quality played a more important role in predicting psychological distress compared to ambient air pollution during the COVID-19 pandemic.
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