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Başkale H, Demiral Ü. The Association of Parental Feeding Practices, Parental Control Over children's Eating Behavior, and Sociodemographic Characteristics with Childhood Overweight and Obesity in Türkiye. Ecol Food Nutr 2024; 63:251-267. [PMID: 38544419 DOI: 10.1080/03670244.2024.2334818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Abstract
Parents both respond to and influence their child's weight. This study aimed to investigate the association of parental feeding practices, parental control over children's eating behavior, and sociodemographic characteristics with childhood overweight and obesity. This descriptive cross-sectional study was conducted with 405 parents of children aged 7-11 years. Predictors that decreased the risk of childhood overweight/obesity were increase in child age (27.9%), high maternal education (61.7%), upper socioeconomic status (38.9%), increase in parental covert control (30.4%), and increase in parental pressure to eat (46.2%). Examining both parental attitudes and practices regarding child feeding and parental approaches to child food choices can benefit early intervention programs to prevent overweight and obesity in children.
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Affiliation(s)
- Hatice Başkale
- Department of Pediatric Nursing, Pamukkale University Faculty of Health Sciences, Kinikli, Denizli, Türkiye
| | - Ümran Demiral
- Nursing Department, Denizli State Hospital, Denizli, Türkiye
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Liu T, Yang X, Wu Y, Chen M, Yang Y, Chen Y, Wang Y, Zhou J, Xu K, Wang N, Fu C. Unhealthy Dietary Patterns Increased Risks of Incident Obesity: A Prospective Cohort Study in Southwest China. Diabetes Metab Syndr Obes 2022; 15:3111-3120. [PMID: 36237967 PMCID: PMC9553234 DOI: 10.2147/dmso.s377901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 09/23/2022] [Indexed: 11/06/2022] Open
Abstract
PURPOSE Few studies have explored the associations between diet patterns and incident obesity in China. This study aimed to explore associations between dietary patterns and incident obesity in a prospective community-population cohort in Southwest China. PATIENTS AND METHODS Totally, 5742 adult residents from Guizhou province were eligible for this analysis. Demographic characteristics, lifestyle, history of chronic diseases, and dietary patterns measured by hundred-item food frequency questionnaires (FFQs) were collected at the baseline study. Four dietary patterns were identified using factor analysis. Cox proportional hazard models stratified by physical activity were used to explore the association and estimate adjusted hazard ratio (aHR) and 95% confidence interval (CI). RESULTS Among 5742 subjects, the average age was 45.06 ± 15.21 years old and more than half were women. During the follow-up of 40,524.15 person years (PYs), the overall incidence rate of obesity was 10.54/1000PYs. After the adjustment for possible confounding factors, subjects with the third (aHR: 1.51, 95% CI: 1.14-2.00) and the fourth quartile (aHR: 1.46, 95% CI: 1.10-1.94) of junk food patterns had statistically increased risk of incident obesity compared to those with the first quartile. Also, subjects with the third quartile of the western pattern had significantly higher risk of incident obesity (aHR: 1.33, 95% CI: 1.01-1.75) than those with the first quartile. CONCLUSION There was a high risk in incident obesity among Chinese community population of Southwest China and unhealthy diet significantly increased risk of developing obesity. The findings indicated that effective and targeted measures to improve dietary patterns need to be undertaken urgently in Southwest China.
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Affiliation(s)
- Tao Liu
- Guizhou Center for Disease Control and Prevention, Guiyang, 550004, People’s Republic of China
| | - Xiulu Yang
- School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China
| | - Yanli Wu
- Guizhou Center for Disease Control and Prevention, Guiyang, 550004, People’s Republic of China
| | - Min Chen
- Guizhou Center for Disease Control and Prevention, Guiyang, 550004, People’s Republic of China
| | - Yu Yang
- School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China
| | - Yun Chen
- School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China
| | - Yiying Wang
- Guizhou Center for Disease Control and Prevention, Guiyang, 550004, People’s Republic of China
| | - Jie Zhou
- Guizhou Center for Disease Control and Prevention, Guiyang, 550004, People’s Republic of China
| | - Kelin Xu
- School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China
| | - Na Wang
- School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China
| | - Chaowei Fu
- School of Public Health; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China
- Correspondence: Chaowei Fu, School of Public Health; Key Laboratory of Public Health Safety; NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, People’s Republic of China, Tel/Fax +86 21 33563933, Email
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