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Rahayuwati L, Komariah M, Sari CWM, Yani DI, Hermayanti Y, Setiawan A, Hastuti H, Maulana S, Kohar K. The Influence of Mother's Employment, Family Income, and Expenditure on Stunting Among Children Under Five: A Cross-Sectional Study in Indonesia. J Multidiscip Healthc 2023; 16:2271-2278. [PMID: 37601326 PMCID: PMC10437103 DOI: 10.2147/jmdh.s417749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/07/2023] [Indexed: 08/22/2023] Open
Abstract
Introduction It is widely acknowledged that the socioeconomic circumstances of a family income are correctly reflected in that family expenditures. The dietary habits of families are influenced by socioeconomic circumstances that may affect stunting. Therefore, this study aims to investigate the household economic predictor stunting (mother's employment, family income, and family expenditure) in children under five. Methods This study used a cross-sectional design. Six districts and cities have been chosen as study areas based on the areas with the highest incidence of stunting in West Java, Indonesia. This study conducted specifically from October to December 2018. Data were examined using descriptive statistics (frequency distribution) and a Spearman Rank bivariate test. A logistic regression was employed to determine the elements that serve as predictors of stunting. Results A total of 731 women with children under five participated in the study. A bivariate analysis showed that mother's employment had an association with stunting among children under five (p = 0.014). Meanwhile, family income and expenditure are not statistically significant associated with stunting (p > 0.05). A multivariate analysis showed that mother's employment was a stunting predictor with odd ratio (OR) 1.810 (p = 0.017). The OR value means that mothers who do not work have a 1.810 chance for their children to experience stunting compared with mothers who have work. However, family income and expenditure have negative projected values (p = 0.580 and p = 0.398, respectively). Conclusion Children under five who are stunted are potentially predictive with mothers' employment, with a chance is higher in mother who do not work. However, family income and expenditure are not predictive of stunting.
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Affiliation(s)
- Laili Rahayuwati
- Department of Community Health Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia
| | - Maria Komariah
- Department of Fundamental Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia
| | - Citra Windani Mambang Sari
- Department of Community Health Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia
| | - Desy Indra Yani
- Department of Community Health Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia
| | - Yanti Hermayanti
- Department of Maternity Nursing, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia
| | - Arlette Setiawan
- Department of Pediatric Dentistry, Faculty of Dentistry, Universitas Padjadjaran, Sumedang, West Java, Indonesia
| | - Hediati Hastuti
- Internship Nursing Program, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia
| | - Sidik Maulana
- Internship Nursing Program, Faculty of Nursing, Universitas Padjadjaran, Sumedang, West Java, Indonesia
| | - Kelvin Kohar
- Clinical Clerkship Program, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo National Central Hospital, Jakarta, Special Capital Region of Jakarta, Indonesia
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Xiang D, Liang B, Wang Y, Li B, Peng J, Zhang S, Chen B, Yan C, Xu C. Factors Influencing Residents' Psychological Status During Standardized Training in COVID-19. Front Psychiatry 2021; 12:737717. [PMID: 34867532 PMCID: PMC8635694 DOI: 10.3389/fpsyt.2021.737717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 10/22/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: To explore the influencing factors of residents' psychological status during standardized training in COVID-19 for finding ways to promote their mental health. Methods: A total of 760 residents were surveyed with a structured questionnaire. Correlation analysis was used to analyze the influencing factors of psychological status of the residents, and a mediation model was constructed to verify the mediating role of satisfaction. Results: Age, willingness to study medicine, and satisfaction were positively correlated with negative psychological status (P < 0.05). And gender, only child or not, and annual household income (RMB) were negatively correlated with negative psychological status (P < 0.01). Residents' satisfaction with standardized training mode plays a complete mediating role between annual household income and negative psychological status. Conclusions: Our findings emphasize the importance of concentrating on resident's psychological status and family economic situation. And relative departments should take action to optimize the standardized training mode to improve the satisfaction.
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Affiliation(s)
- Dongfang Xiang
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Wuhan Hospital for Psychotherapy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bao Liang
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Wuhan Hospital for Psychotherapy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yongyi Wang
- Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Biao Li
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Wuhan Hospital for Psychotherapy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Juan Peng
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Wuhan Hospital for Psychotherapy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sheng Zhang
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Wuhan Hospital for Psychotherapy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bei Chen
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Wuhan Hospital for Psychotherapy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chuandong Yan
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Wuhan Hospital for Psychotherapy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chao Xu
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Affiliated Wuhan Mental Health Center, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Wuhan Hospital for Psychotherapy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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