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Analysis of children′s well-being from the perspective of family–school–community collaboration
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Wenkui LU1, Meijie CHU2, Yanfang JIANG1, Baoyi ZENG2, Chengliang LIU2, Yangjingling HUA1, Huarong HONG1, Yizhen JIANG2
Chinese Journal of Public Health | 2025, 41(2) : 170 - 175
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Chinese Journal of Public Health | 2025, 41(2): 170-175
• Epidemiological Research •
Analysis of children′s well-being from the perspective of family–school–community collaboration
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Wenkui LU1, Meijie CHU2, Yanfang JIANG1, Baoyi ZENG2, Chengliang LIU2, Yangjingling HUA1, Huarong HONG1, Yizhen JIANG2
Affiliations
  • 1Xiamen City Center for Disease Control and Prevention, Xiamen 361021, China
  • 2School of Public Health, Xiamen University, Xiamen 361102, China
Published: 2025-02-10 doi: 10.11847/zgggws1144798
Outline
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Objective

To understand the influence of family, school, and community social environments on children′s perceived well-being, to explore the key indicators that affect children′s well-being, and to provide suggestions and references for building child-friendly cities and creating friendly social environments.

Methods

Using stratified multistage cluster sampling and a self-developed questionnaire, we recruited 3 511 students in grades 4–6 from 12 primary schools in 6 districts of Xiamen city, Fujian province for on-site online surveys conducted from October 2023 to January 2024. Independent samples t-tests and analysis of variance were used for univariate analysis. Multiple linear regression models were used to analyze the influence of the friendliness of the family, school, and community social environments on children′s perceived well-being. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to screen key indicators of family-school-community social environments that influence perceived well-being, and regression coefficient estimation and significance tests were performed.

Results

For the 3 289 participants (54.03% boys and 45.97% girls, mean age 10.38±0.96 years) with valid responses, the mean perceived well-being score was 64.29±9.21. Based on Model 1 (which included only demographic variables), Model 8, which included family, school, and community social environment variables, increased the explanatory power of perceived child well-being by 44.6%. Compared to the school social environment (β=0.12, B=0.16, P<0.001) and the community social environment (β=0.59, B=0.22, P<0.001), the family social environment (β=0.66, B=0.39, P<0.001) had a greater impact on children′s perceived well-being. From the perspective of family-school-community synergy, five key indicators of the family environment, six key indicators of the school environment, and three key indicators of the community environment that affect children′s perceived well-being were selected. Among the key indicators in the family dimension, children′s feeling that “talking with parents is relaxing” (B=0.12, P<0.001) and “my family knows what is going on in this school” (B=0.12, P<0.001) had a greater impact on children′s perceived well-being. In the school dimension, “the subjects learned in school are all very interesting” (B=0.13, P<0.001) had the greatest impact on the perceived well-being. In the community dimension, children′s perception that “the people in this community are warm and caring” had a greater impact on children′s perceived well-being (B=0.08, P<0.001).

Conclusions

To promote children′s well-being, families, schools, and communities must work together to create a child-friendly social atmosphere, especially by promoting relaxed and happy parent-child communication, parental involvement in children′s lives, and the interest in school curricula.

children  /  well-being  /  social environment  /  family-school-community
卢文奎, 褚美洁, 姜艳芳, 曾宝仪, 刘呈亮, 华洋静玲, 洪华荣, 江宜珍. 家庭–学校–社区协同视域下儿童幸福感水平分析. 中国公共卫生, 2025 , 41 (2) : 170 -175 . DOI: 10.11847/zgggws1144798
Wenkui LU, Meijie CHU, Yanfang JIANG, Baoyi ZENG, Chengliang LIU, Yangjingling HUA, Huarong HONG, Yizhen JIANG. Analysis of children′s well-being from the perspective of family–school–community collaboration[J]. Chinese Journal of Public Health, 2025 , 41 (2) : 170 -175 . DOI: 10.11847/zgggws1144798
Year 2025 volume 41 Issue 2
112
48
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Article Info
doi: 10.11847/zgggws1144798
  • Receive Date:2024-04-24
  • Online Date:2026-10-25
  • Published:2025-02-10
Article Data
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History
  • Received:2024-04-24
  • Revised:2024-09-30
  • Accepted:2024-11-11
Affiliations
    1Xiamen City Center for Disease Control and Prevention, Xiamen 361021, China
    2School of Public Health, Xiamen University, Xiamen 361102, China

Corresponding:

HONG Huarong, E-mail:
JIANG Yizhen, E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
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Percentage of
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Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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