Volume 21 Issue 12
Dec.  2023
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Article Navigation >  Chinese Journal of General Practice  > 2023  >  21(12): 2093-2096
GAO Jing, JIANG Lianghua, NI Shuang, WU Huichao. Research on the influencing factors and countermeasures of depression among occupational women in functional communities based on IMB structural equation model[J]. Chinese Journal of General Practice, 2023, 21(12): 2093-2096. doi: 10.16766/j.cnki.issn.1674-4152.003298
Citation: GAO Jing, JIANG Lianghua, NI Shuang, WU Huichao. Research on the influencing factors and countermeasures of depression among occupational women in functional communities based on IMB structural equation model[J]. Chinese Journal of General Practice, 2023, 21(12): 2093-2096. doi: 10.16766/j.cnki.issn.1674-4152.003298
shu

Research on the influencing factors and countermeasures of depression among occupational women in functional communities based on IMB structural equation model

doi: 10.16766/j.cnki.issn.1674-4152.003298
  • 1.

    Pujiang Community Health Service Center of Minhang District, Shanghai 201112, China

Funds:

 20194Y0003

 SHGES-202209

  • Received Date: 2023-02-20
    Available Online: 2024-01-29
    Abstract
  •   Objective  To explore the factors influencing depression in working women in functional communities and to identify strategies to optimize and improve their level of self-management of depression.  Methods  Based on the literature review and expert consultation, a survey questionnaire was designed and filled out from 00:00 on May 1 to 24:00 on June 21 2021. Using the online questionnaire "Questionnaire Star" to push it point-to-point on the WeChat client, obtain the consent of the respondents, and then fill it out. Organize and clean the data in the backend of the "Questionnaire Star" client. Use SPSS 24.0 statistical software for data entry and statistical analysis. Descriptive statistical analysis is performed on the baseline situation and the classified data is compared between two or more groups using Chi-square tests. A linear regression analysis model is used to analyze the influencing factors. the structural equation of the information motivation behavioral skills model (IMB) model is created using AMOS software.  Results  A total of 1 128 questionnaires were collected, of which 1 044 were valid, giving an overall response rate of 92.55%. A total of 451 respondents had mild depression, and 11 had severe depression. Multivariate analysis showed that age, education level, social support (social motivational factors), job satisfaction (personal motivational factors), and self-efficacy (behavioral skills factors) were the main factors influencing depression in in working women in the community (all P<0.05). The structural equation model shows that information factors have a positive impact on self-efficacy in managing depression, motivational factors have a positive impact on behavioral skills, and behavioral skills have a positive impact on SDS scores. Self efficacy plays a partial mediating role in the influence of information and motivational factors on the generation of depression (all P<0.05).  Conclusion  It is necessary to strengthen the scientific popularization of depression among professional groups, to increase social support for professional women, to improve career satisfaction and to increase their self-efficacy in dealing with depression, thereby reducing the incidence of depression.

     

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