Mental health status and its influencing factors among residents in Zhuhai

BackgroundCurrently, there has been a gradual increase in the incidence of mental diseases, becoming a problem that has attracted great concern of the general public. Zhuhai is a core city of the Guangdong-Hong Kong-Macao Greater Bay Area, and the local government have attached great importance to the mental health of residents. The systematic study on the mental health has focused largely on pregnant women and medical workers, yet few are on the adult residents.ObjectiveTo investigate the prevalence and its influencing factors of anxiety and depression among adult residents in Zhuhai, so as to provide references for formulating targeted psychological intervention strategies.MethodsFrom September 1 to December 1, 2021, a cohort of 5 600 permanent residents aged 18 years and above in Zhuhai were selected through multistage sampling. All participants were subjected to complete Patients' Health Questionnaire Depression Scale-9 item (PHQ-9), Generalized Anxiety Disorder Scale-7 item (GAD-7) and National Mental Health Literacy Questionnaire based on Wenjuanxing software. Then Logistic regression was employed to identify the factors associated with anxiety and depression among the residents.ResultsAmong the 5 600 residents, depressive symptoms were detected in 842 (15.04%) residents and anxiety symptoms in 579 (10.34%) residents. Logistic regression analysis yielded that female gender (OR=1.488), living in Doumen district (OR=1.942), junior college/undergraduate level (OR=3.602), postgraduate and above (OR=5.904), irregular meal pattern (OR=3.320), comorbid chronic diseases (OR=3.244), disqualification of self-assessment (OR=3.414) and disqualification of mental health skill (OR=2.131) were risk factors for depression symptoms, whereas age ≥25 years old (of all age groups OR<1), monthly per capita income >20 000 yuan (OR=0.438) and exercising ≥3 times a week (OR=0.431) were protective factors for depression symptoms. Age of 25~34 years old (OR=2.051), living in Jinwan district (OR=1.729) or Doumen district (OR=1.901), junior college/undergraduate level (OR=2.955), postgraduate and above (OR=6.662), irregular meal pattern (OR=2.741), comorbid chronic diseases (OR=3.535), disqualification of self-assessment (OR=3.325) and disqualification of mental health skill (OR=1.838) were risk factors for anxiety symptoms, while monthly per capita income of 6 001~9 000 yuan (OR=0.665) and exercising ≥3 times a week (OR=0.572) were protective factors for anxiety symptoms.ConclusionThe mental health status of adult residents in Zhuhai is affected by various factors, including gender, age, region of residence, education level, meal pattern, exercise frequency and chronic diseases. [Funded by 2023 Zhuhai Medical Research Project (number, 2220009000227)]

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
DOI
https://doi.org/10.11886/scjsws20231221002
Primary Topic
Advanced Technologies in Various Fields
Type
article
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article

Mental health status and its influencing factors among residents in Zhuhai

SHILAP Revista de lepidopterología
Advanced Technologies in Various Fields
article

Mental health status and its influencing factors among residents in Zhuhai

article en

Abstract

BackgroundCurrently, there has been a gradual increase in the incidence of mental diseases, becoming a problem that has attracted great concern of the general public. Zhuhai is a core city of the Guangdong-Hong Kong-Macao Greater Bay Area, and the local government have attached great importance to the mental health of residents. The systematic study on the mental health has focused largely on pregnant women and medical workers, yet few are on the adult residents.ObjectiveTo investigate the prevalence and its influencing factors of anxiety and depression among adult residents in Zhuhai, so as to provide references for formulating targeted psychological intervention strategies.MethodsFrom September 1 to December 1, 2021, a cohort of 5 600 permanent residents aged 18 years and above in Zhuhai were selected through multistage sampling. All participants were subjected to complete Patients' Health Questionnaire Depression Scale-9 item (PHQ-9), Generalized Anxiety Disorder Scale-7 item (GAD-7) and National Mental Health Literacy Questionnaire based on Wenjuanxing software. Then Logistic regression was employed to identify the factors associated with anxiety and depression among the residents.ResultsAmong the 5 600 residents, depressive symptoms were detected in 842 (15.04%) residents and anxiety symptoms in 579 (10.34%) residents. Logistic regression analysis yielded that female gender (OR=1.488), living in Doumen district (OR=1.942), junior college/undergraduate level (OR=3.602), postgraduate and above (OR=5.904), irregular meal pattern (OR=3.320), comorbid chronic diseases (OR=3.244), disqualification of self-assessment (OR=3.414) and disqualification of mental health skill (OR=2.131) were risk factors for depression symptoms, whereas age ≥25 years old (of all age groups OR<1), monthly per capita income >20 000 yuan (OR=0.438) and exercising ≥3 times a week (OR=0.431) were protective factors for depression symptoms. Age of 25~34 years old (OR=2.051), living in Jinwan district (OR=1.729) or Doumen district (OR=1.901), junior college/undergraduate level (OR=2.955), postgraduate and above (OR=6.662), irregular meal pattern (OR=2.741), comorbid chronic diseases (OR=3.535), disqualification of self-assessment (OR=3.325) and disqualification of mental health skill (OR=1.838) were risk factors for anxiety symptoms, while monthly per capita income of 6 001~9 000 yuan (OR=0.665) and exercising ≥3 times a week (OR=0.572) were protective factors for anxiety symptoms.ConclusionThe mental health status of adult residents in Zhuhai is affected by various factors, including gender, age, region of residence, education level, meal pattern, exercise frequency and chronic diseases. [Funded by 2023 Zhuhai Medical Research Project (number, 2220009000227)]

SHILAP Revista de lepidopterología
Quality Education
Openalex Percentile: Top 63%
Advanced Technologies in Various Fields
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