Health risky behaviors among rural-to-urban migrant workers in China: prevalence, patterns, and association with distal and proximal factors
BackgroundHealth Risky Behaviors (HRBs) pose a significant public health challenge, particularly among migrant workers in China who face unfavorable living and working conditions. This study aimed to investigate the prevalence and characteristics of HRBs in rural-to-urban migrant workers, as well as...
| Автори: | , , , , , |
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| Формат: | Стаття |
| Мова: | English |
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Frontiers Media S.A.
2025-02-01
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| Серія: | Frontiers in Public Health |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1459661/full |
| _version_ | 1826588408959467520 |
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| author | Weikai Wang Mengting Wang Hong Pan Wenqian Jian Li Chen Yawen Zheng |
| author_facet | Weikai Wang Mengting Wang Hong Pan Wenqian Jian Li Chen Yawen Zheng |
| author_sort | Weikai Wang |
| collection | DOAJ |
| description | BackgroundHealth Risky Behaviors (HRBs) pose a significant public health challenge, particularly among migrant workers in China who face unfavorable living and working conditions. This study aimed to investigate the prevalence and characteristics of HRBs in rural-to-urban migrant workers, as well as explore factors associated with HRBs from both distal and proximal perspectives.MethodsA cross-sectional survey involving 2,065 rural-to-urban migrant workers was conducted. Participants completed a structured questionnaire assessing HRBs, distal factors (school dropout, peer victimization, physical neglect/abuse, emotional neglect/abuse) and proximal factors (work burnout, parent-child conflict, adulthood poverty, divorce intention, core self-evaluation). Logistic regression analysis was utilized to identify predictors of HRBs, leading to the development and validation of a prediction model (nomograms) for HRBs among migrant workers. The model's performance was assessed using metrics such as the area under the curve (AUC), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA).ResultsSignificant predictors of HRBs included gender, school dropout, peer victimization, abuse/neglect experiences, work burnout, parent-child conflict, adulthood poverty, divorce intention, and core self-evaluation. The developed nomogram showed promising predictive accuracy with an AUC of 0.77 for the training set and 0.76 for the validation set. The calibration curve demonstrated good alignment with the diagonal, and the DCA illustrated the model's utility across different threshold ranges.ConclusionThis study highlighted a high prevalence of HRBs among migrant workers in China, and the predictive tool developed can be instrumental in informing targeted interventions and policies to address and manage HRBs effectively among this population. |
| first_indexed | 2025-03-14T16:40:52Z |
| format | Article |
| id | doaj.art-3c1b42a73b5c4a80874facd643465bde |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2025-03-14T16:40:52Z |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-3c1b42a73b5c4a80874facd643465bde2025-02-21T06:34:12ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-02-011310.3389/fpubh.2025.14596611459661Health risky behaviors among rural-to-urban migrant workers in China: prevalence, patterns, and association with distal and proximal factorsWeikai Wang0Mengting Wang1Hong Pan2Wenqian Jian3Li Chen4Yawen Zheng5Department of Psychiatry, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou, Zhejiang, ChinaSchool of Mental Health, Wenzhou Medical University, Wenzhou, Zhejiang, ChinaSchool of Mental Health, Wenzhou Medical University, Wenzhou, Zhejiang, ChinaSchool of Mental Health, Wenzhou Medical University, Wenzhou, Zhejiang, ChinaSchool of Mental Health, Wenzhou Medical University, Wenzhou, Zhejiang, ChinaLishui Second People's Hospital, Wenzhou Medical University, Lishui, Zhejiang, ChinaBackgroundHealth Risky Behaviors (HRBs) pose a significant public health challenge, particularly among migrant workers in China who face unfavorable living and working conditions. This study aimed to investigate the prevalence and characteristics of HRBs in rural-to-urban migrant workers, as well as explore factors associated with HRBs from both distal and proximal perspectives.MethodsA cross-sectional survey involving 2,065 rural-to-urban migrant workers was conducted. Participants completed a structured questionnaire assessing HRBs, distal factors (school dropout, peer victimization, physical neglect/abuse, emotional neglect/abuse) and proximal factors (work burnout, parent-child conflict, adulthood poverty, divorce intention, core self-evaluation). Logistic regression analysis was utilized to identify predictors of HRBs, leading to the development and validation of a prediction model (nomograms) for HRBs among migrant workers. The model's performance was assessed using metrics such as the area under the curve (AUC), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA).ResultsSignificant predictors of HRBs included gender, school dropout, peer victimization, abuse/neglect experiences, work burnout, parent-child conflict, adulthood poverty, divorce intention, and core self-evaluation. The developed nomogram showed promising predictive accuracy with an AUC of 0.77 for the training set and 0.76 for the validation set. The calibration curve demonstrated good alignment with the diagonal, and the DCA illustrated the model's utility across different threshold ranges.ConclusionThis study highlighted a high prevalence of HRBs among migrant workers in China, and the predictive tool developed can be instrumental in informing targeted interventions and policies to address and manage HRBs effectively among this population.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1459661/fullhealth risky behaviorsrural-to-urban migrant workersnomogramspredictionmigrant health |
| spellingShingle | Weikai Wang Mengting Wang Hong Pan Wenqian Jian Li Chen Yawen Zheng Health risky behaviors among rural-to-urban migrant workers in China: prevalence, patterns, and association with distal and proximal factors Frontiers in Public Health health risky behaviors rural-to-urban migrant workers nomograms prediction migrant health |
| title | Health risky behaviors among rural-to-urban migrant workers in China: prevalence, patterns, and association with distal and proximal factors |
| title_full | Health risky behaviors among rural-to-urban migrant workers in China: prevalence, patterns, and association with distal and proximal factors |
| title_fullStr | Health risky behaviors among rural-to-urban migrant workers in China: prevalence, patterns, and association with distal and proximal factors |
| title_full_unstemmed | Health risky behaviors among rural-to-urban migrant workers in China: prevalence, patterns, and association with distal and proximal factors |
| title_short | Health risky behaviors among rural-to-urban migrant workers in China: prevalence, patterns, and association with distal and proximal factors |
| title_sort | health risky behaviors among rural to urban migrant workers in china prevalence patterns and association with distal and proximal factors |
| topic | health risky behaviors rural-to-urban migrant workers nomograms prediction migrant health |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1459661/full |
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