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Huangfu H, Li L, Shuai W. Mediating effects of self-esteem and self-compassion on the relationship between body dissatisfaction and depression among adolescents with polycystic ovary syndrome. Front Public Health 2024; 12:1420532. [PMID: 39118976 PMCID: PMC11308987 DOI: 10.3389/fpubh.2024.1420532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 06/20/2024] [Indexed: 08/10/2024] Open
Abstract
Introduction Body dissatisfaction significantly impacts depression among adolescents with polycystic ovary syndrome (PCOS). This relationship is compounded by various factors. Our study aims to explore the roles of self-esteem and self-compassion in the relationship between body dissatisfaction and depression in adolescent with PCOS. Methods A cross-sectional study was conducted at the Shanghai First Maternity and Infant Hospital, involving 287 adolescents diagnosed with PCOS from January 2020 to December 2021. Participants completed validated questionnaires covering body dissatisfaction, self-esteem, self-compassion and depression. We utilized correlation and mediation analyses to examine the relationships and mediating effects among these variables. Results Body dissatisfaction had a significant positive effect on depression (β = 4.254, p < 0.001). Conversely, self-esteem (β = -0.944, p < 0.001) and self-compassion (β = -0.318, p < 0.001) were negative predictors of depression. Both self-esteem [β = 3.405, 95% CI = (0.151, 0.305)] and self-compassion [β = 1.525, 95% CI = (0.045, 0.165)] were shown to partially mediate the relationship between body dissatisfaction and depression, explaining 37.07% and 16.61% of the total effect, respectively. Conclusion This study highlights the importance of fostering self-esteem and self-compassion among adolescents with PCOS to buffer the depressive effects of body dissatisfaction. Interventions aimed at promoting accurate and positive body perceptions, enhancing self-esteem, fostering a supportive attitude toward personal challenges, and maintaining positive emotional states are recommended to decrease the incidence of depression.
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Affiliation(s)
- Huihui Huangfu
- School of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Li Li
- Institute of Healthy Yangtze River Delta, School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China
| | - Wen Shuai
- Health Management Center, Shanghai First Maternity and Infant Hospital, Shanghai, China
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Huangfu H, Zhang Z, Yu Q, Zhou Q, Shi P, Shen Q, Zhang Z, Chen Z, Pu C, Xu L, Hu Z, Ma A, Gong Z, Xu T, Wang P, Wang H, Hao C, Li C, Hao M. Impact of new health care reform on enabling environment for children’s health in China: An interrupted time-series study. J Glob Health 2022; 12:11002. [PMID: 35356653 PMCID: PMC8932608 DOI: 10.7189/jogh.12.11002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Background Creating an enabling environment (EE) can help foster the development and health of children. The Chinese government implemented a new health care reform (NHR) in 2009 in a move to promote an EE for health. The purpose of this study was to evaluate the impact of the NHR on EE for children’s health. Methods An interrupted time-series analysis was used to evaluate the changes in the EE before and after 2009 in China. This study analysed the EE through five quantitative indicators, including policy element coverage rate (PECR), service meeting with children’s needs rate (SMCNR), multisector participation rate (MPR), and accountability mechanism clarity rate (AMCR), based on the content analysis of available public policy documents (updated as of 2019) from 31 provinces in mainland China, and the number of health care personnel of maternity and child care centres per 10 000 population (HP per 10 000 population), based on the 2002–2019 China Health Statistical Yearbook and China Statistical Yearbook. Results The average values of PECR, SMCNR, and MPR increased rapidly to 90.96%, 82.46%, and 81.31%, respectively, in 2019, representing a higher value compared to the AMCR (7.38%). The NHR promoted the EE, in which HP per 10 000 population showed the fastest increase (β1 = 0.03, P < 0.01; β3 = 0.10, P < 0.01), followed by SMCNR (β1 = 0.94, P < 0.01; β3 = 1.83, P < 0.01), AMCR (β1 = 0.13, P < 0.01; β3 = 0.24, P = 0.14), MPR (β1 = 1.35, P < 0.01; β3 = 2.47, P < 0.01) and PECR (β1 = 1.43, P < 0.01; β3 = 1.47, P < 0.01). Conclusions The NHR has a positive impact on the EE, especially on the human resources and service provision for children. Efforts should be intensified to improve the clarity of the accountability mechanism of the health-related sectors.
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Affiliation(s)
- Huihui Huangfu
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Zhifan Zhang
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Qinwen Yu
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Qingyu Zhou
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Peiwu Shi
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Zhejiang Academy of Medical Sciences, Hangzhou, Zhejiang, China
| | - Qunhong Shen
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- School of Public Policy and Management, Tsinghua University, Beijing, China
| | - Zhaoyang Zhang
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Project Supervision Center of National Health Commission of the People’s Republic of China, Beijing, China
| | - Zheng Chen
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Department of Grassroots Public Health Management Group, Public Health Management Branch of Chinese Preventive Medicine Association, Shanghai, China
| | - Chuan Pu
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Lingzhong Xu
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- School of Public Health, Shandong University, Jinan, Shandong, China
| | - Zhi Hu
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- School of Health Service Management, Anhui Medical University, Hefei, Anhui, China
| | - Anning Ma
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- School of Management, Weifang Medical University, Weifang, Shandong, China
| | - Zhaohui Gong
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Committee on Medicine and Health of Central Committee of China ZHI GONG PARTY, Beijing, China
| | - Tianqiang Xu
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Institute of Inspection and Supervision, Shanghai Municipal Health Commission, Shanghai, China
| | - Panshi Wang
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Shanghai Municipal Health Commission, Shanghai, China
| | - Hua Wang
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Jiangsu Preventive Medicine Association, Nanjing, Jiangsu, China
| | - Chao Hao
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
- Changzhou Center for Disease Control and Prevention, Changzhou, Jiangsu, China
| | - Chengyue Li
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
| | - Mo Hao
- Research Institute of Health Development Strategies, Fudan University, Shanghai, China
- Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China
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