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Zhuang H, Wang L, Wang F, Wang Y, Tang G, Zhao H. Prevalence of overweight/obesity and related factors in Keerqin District, Tongliao City: A cross-sectional study. PLoS One 2023; 18:e0282414. [PMID: 37540720 PMCID: PMC10403123 DOI: 10.1371/journal.pone.0282414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 02/14/2023] [Indexed: 08/06/2023] Open
Abstract
OBJECTIVE This study aimed to analyze the prevalence of overweight/obesity and the factors influencing these conditions among 9- to 18-year-old adolescents in Keerqin District of Tongliao City. We explored whether overweight/obesity is accompanied by differences in eating habits, lifestyle, and mental health. METHODS A cross-sectional survey was administered to 1,736 adolescents in November 2020. A physical examination was performed for each participant, and an online questionnaire was adopted to collect information. The association of several risk factors with overweight/obesity was explored using a logistic regression model. RESULTS The prevalence of overweight/obesity in the study population was 43.32%. The risk of overweight/obesity was higher among nonresident students (odds ratio [OR] = 1.564, 95% CI = 1.182-2.069) who had an average of 3-4 (OR = 2.164, 95% CI = 1.087-4.308) or 5 or more (OR = 2.114, 95% CI = 1.376-3.248) PE classes per week. The risk of overweight/obesity was lower among girls (OR = 0.485, 95% CI = 0.396-0.593), students aged 15-16 years (OR = 0.288, 95% CI = 0.135-0.617) and those aged 17-18 years (OR = 0.282, 95% CI = 0.124-0.639), students who ate sweets more than once a week (OR = 0.570, 95% CI = 0.366-0.887), students who spent less than 1 hour per day on the computer each week (OR = 0.776, 95% CI = 0.620-0.971), students with depressive symptoms (Center for Epidemiologic Studies Depression Scale [CES-D] score ≥ 16) (Model 2: OR = 0.618, 95% CI = 0.385-0.990; Model 3: OR = 0.623, 95% CI = 0.388-1.000), and students with depressed affect (Model 2: OR = 0.921, 95% CI = 0.877-0.967; Model 3: OR = 0.929, 95% CI = 0.885-0.976). CONCLUSION Overweight/obesity was influenced by eating habits and lifestyle factors. In addition, overweight/obesity adolescents had a lower risk of depressed than those with normal weight.
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Affiliation(s)
- Huiying Zhuang
- Inner Mongolia University for the Nationalities, Tongliao, Inner Mongolia, P.R. China
- Key Laboratory of Zoonose Prevention and Control at Universities of Inner Mongolia Autonomous Region, Hohhot, P.R. China
| | - Limei Wang
- CDC: Centers for Disease Control and Prevention, Tongliao, Inner Mongolia, P.R. China
| | - Fengying Wang
- CDC: Centers for Disease Control and Prevention, Tongliao, Inner Mongolia, P.R. China
| | - Yu Wang
- Inner Mongolia University for the Nationalities, Tongliao, Inner Mongolia, P.R. China
| | - Geisi Tang
- Inner Mongolia University for the Nationalities, Tongliao, Inner Mongolia, P.R. China
| | - Honglin Zhao
- Inner Mongolia University for the Nationalities, Tongliao, Inner Mongolia, P.R. China
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Abstract
Background: Childhood overweight and obesity are recognized as predictors of the risk of obesity in adulthood. The aim of this systematic literature review was to determine the association between dietary pattern and obesity risk among children. Methods: Articles were selected from databases (Cochrane Library, Lilacs, Eric, Livivo, and PubMed/Medline), without limitations regarding language or date. Database-specific search terms included the key words "obesity," "diet," "dietary pattern," "childhood," "children," "adolescents," and relevant synonyms. The review included studies that reported the assessment of the dietary pattern in childhood and that correlated eating patterns with the obesity risk through cluster analysis (CA) and/or factor analysis and/or principal component analysis and presented odds ratios (ORs). The methodology of the selected studies was evaluated using the JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies. Owing to the heterogeneity among the assessments of the association of dietary patterns and obesity, the results are described narratively. Results: Using a selection process in two phases, 16 articles were included. Fifteen studies used a cross-sectional design, and one case-control study. The included studies showed variation in sample size (range = 232 to 10,187 children/adolescents) and age (range = 1-19 years old). The studies reported between two and five dietary patterns each. The OR for the relationship between the dietary pattern and the risk of childhood obesity ranged from OR = 1.02; confidence interval (95% CI) (0.91-1.15) to OR = 3.55; 95% CI (1.80-7.03). In this study, the dietary patterns identified by the studies were given different names. The food intake patterns identified could, in most factor or CA studies, be categorized as (1) potentially obesogenic foods that increased risk of becoming overweight (including fatty cheeses, sugary drinks, processed foods, fast food, candies, snacks, cakes, animal products, whole milk, and refined grains) or (2) food classified as healthy with the weakest association with the risk of becoming overweight or obese (including low levels of sugar and fat and high levels of fruits, vegetables, whole grains, fish, nuts, legumes, and yogurt). Conclusion: Overall, the results indicated from most studies that a diet with a lower percentage of obesogenic foods should be effective in reducing the risk of developing obesity.
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Affiliation(s)
- Rafaela Liberali
- Post-Graduation Program in Medical Sciences, Federal University of Santa Catarina, Florianopolis, SC, Brazil
| | - Emil Kupek
- Department of Public Health, Federal University of Santa Catarina, Florianopolis, SC, Brazil
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Zhen S, Ma Y, Zhao Z, Yang X, Wen D. Dietary pattern is associated with obesity in Chinese children and adolescents: data from China Health and Nutrition Survey (CHNS). Nutr J 2018; 17:68. [PMID: 29996840 PMCID: PMC6042200 DOI: 10.1186/s12937-018-0372-8] [Citation(s) in RCA: 75] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Accepted: 06/26/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Associations of dietary patterns in Chinese adolescents and children with later obesity have not previously been investigated. The purpose of the present study was to evaluate the associations between dietary patterns and the risk of obesity in Chinese adolescents and children by using a longitudinal design. METHODS Data from the China Health and Nutrition Survey (CHNS), a nationally representative survey, were used for our analysis. 489 participants 6-14 years of age were followed from 2006 to 2011. Factor analysis was used to identify the dietary patterns in Chinese adolescents and children. Ordered logistic regression models were used to examine the association between dietary patterns and later obesity. RESULTS Two dietary patterns were revealed by factor analysis, the traditional Chinese dietary pattern (with high intake of rice, vegetables, poultry, pork and fish and the modern dietary pattern (with high intake of wheat, processed meat and fast food). Children in the highest quartile and the second-highest quartile of the traditional Chinese dietary pattern was inversely associated with later obesity compared with children in the lowest quartile over 5 years (OR = 0.19, 95%CI: 0.09, 0.40 for Q4; OR = 0.47, 95%CI: 0.33, 0.67 for Q3); Children in the highest quartile of the modern dietary pattern was positively associated with later obesity compared with children in the lowest quartile over 5 years (OR = 2.02, 95%CI: 1.17, 3.48). CONCLUSIONS Dietary patterns in Chinese adolescents and children are associated with later obesity. These findings further confirm the importance of children's dietary patterns in later obesity and lay groundwork for dietary culture-specific interventions targeted at reducing rates of obesity in children and adolescents.
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Affiliation(s)
- Shihan Zhen
- China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province China
| | - Yanan Ma
- China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province China
| | - Zhongyi Zhao
- China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province China
| | - Xuelian Yang
- China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province China
| | - Deliang Wen
- China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province China
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Amini M, Dadkhah Piraghaj M, Khosravi M, Lotfollahi N. Dietary Patterns and Obesity Associated Factors in Primary School Children. NUTRITION AND FOOD SCIENCES RESEARCH 2018. [DOI: 10.29252/nfsr.5.1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
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Velasco Benítez CA, Giraldo Lora SC. CONSUMO DE FIBRA DIETÉTICA EN LACTANTES MENORES DE 2 AÑOS Y ESTREÑIMIENTO FUNCIONAL. REVISTA DE LA FACULTAD DE MEDICINA 2015. [DOI: 10.15446/revfacmed.v62n3sup.40872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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Portella AK, Silveira PP. Neurobehavioral determinants of nutritional security in fetal growth-restricted individuals. Ann N Y Acad Sci 2014; 1331:15-33. [DOI: 10.1111/nyas.12390] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- André Krumel Portella
- Hospital da Criança Santo Antônio; Santa Casa de Misericórdia de Porto Alegre; Rio Grande do Sul; Brazil
| | - Patrícia Pelufo Silveira
- Departamento de Pediatria, Faculdade de Medicina; Universidade Federal do Rio Grande do Sul; Rio Grande do Sul; Brazil
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Rönn M, Lind PM, Karlsson H, Cvek K, Berglund J, Malmberg F, Orberg J, Lind L, Ortiz-Nieto F, Kullberg J. Quantification of total and visceral adipose tissue in fructose-fed rats using water-fat separated single echo MRI. Obesity (Silver Spring) 2013; 21:E388-95. [PMID: 23696386 DOI: 10.1002/oby.20229] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2012] [Revised: 11/05/2012] [Accepted: 11/19/2012] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The aim of this study was to setup a rodent model for modest weight gain and an MRI-based quantification of body composition on a clinical 1.5 T MRI system for studies of obesity and environmental factors and their possible association. DESIGN AND METHODS Twenty-four 4-week-old female Fischer rats were divided into two groups: one exposed group (n = 12) and one control group (n = 12). The exposed group was given drinking water containing fructose (5% for 7 weeks, then 20% for 3 weeks). The control group was given tap water. Before sacrifice, whole body MRI was performed to determine volumes of total and visceral adipose tissue and lean tissue. MRI was performed using a clinical 1.5 T system and a chemical shift based technique for separation of water and fat signal from a rapid single echo acquisition. Fat signal fraction was used to separate adipose and lean tissue. Visceral adipose tissue volume was quantified using semiautomated segmentation. After sacrifice, a perirenal fat pad and the liver were dissected and weighed. Plasma proteins were analyzed by Western blot. RESULTS The weight gain was 5.2% greater in rats exposed to fructose than in controls (P = 0.042). Total and visceral adipose tissue volumes were 5.2 cm3 (P = 0.017) and 3.1 cm3 (P = 0.019) greater, respectively, while lean tissue volumes did not differ. The level of triglycerides and apolipoprotein A-I was higher (P = 0.034, P = 0.005, respectively) in fructose-exposed rats. CONCLUSIONS The setup induced and assessed a modest visceral obesity and hypertriglyceridemia, making it suitable for further studies of a possible association between environmental factors and obesity.
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Affiliation(s)
- Monika Rönn
- Occupational and Environmental Medicine, Uppsala University, Uppsala, Sweden
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Shang X, Li Y, Liu A, Zhang Q, Hu X, Du S, Ma J, Xu G, Li Y, Guo H, Du L, Ma G. Dietary pattern and its association with the prevalence of obesity and related cardiometabolic risk factors among Chinese children. PLoS One 2012; 7:e43183. [PMID: 22905228 PMCID: PMC3419173 DOI: 10.1371/journal.pone.0043183] [Citation(s) in RCA: 91] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2012] [Accepted: 07/19/2012] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The association of dietary pattern with chronic diseases has been investigated widely in western countries. However, information is quite limited among children in China. Our study is aimed to identify the dietary patterns of Chinese children and examine their association with obesity and related cardiometabolic risk factors. METHODS A total of 5267 children were selected using multistage random sampling from 30 primary schools of 5 provincial capital cities in China. Dietary intake was derived from 24 hour dietary recall for three consecutive days. Anthropometric measurements, glucose and lipid profiles were obtained. Factor analysis combined with cluster analysis was used for identifying major dietary patterns. The associations of dietary patterns with obesity and related cardiometabolic risk factors were examined by logistic regression analysis. RESULTS Three mutually exclusive dietary patterns were identified, which were labeled as the healthy dietary pattern, the transitive dietary pattern, and the Western dietary pattern. Compared with children of the healthy dietary pattern, the multiple-adjusted odds ratios (95% confidence interval (CI)) of obesity were 1.11 (0.89-1.38) for children with the transitive dietary pattern and 1.80 (1.15-2.81) for children with the Western dietary pattern, which was 1.31 (95%CI 1.09-1.56) and 1.71 (95%CI: 1.13-2.56), respectively, for abdominal obesity. The Western dietary pattern was associated with significantly higher concentrations of low-density lipoprotein cholesterol (P<.001), triglycerides (P<.001), systolic blood pressure (P = 0.0435) and fasting glucose (P = 0.0082) and a lower concentration of high-density lipoprotein cholesterol (P = 0.0023), as compared with the healthy dietary pattern. CONCLUSIONS The Western dietary pattern characterized by red meat, eggs, refined grain and products, was positively associated with odds of obesity, the levels of plasma glucose, low-density lipoprotein cholesterol and triglycerides, and was inversely associated with the level of high-density lipoprotein cholesterol.
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Affiliation(s)
- Xianwen Shang
- National Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Beijing, Beijing, China
- China Oxford Centre for International Health Research, Cardiovascular Institute & Fu Wai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, Beijing, China
| | - Yanping Li
- National Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Beijing, Beijing, China
| | - Ailing Liu
- National Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Beijing, Beijing, China
| | - Qian Zhang
- National Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Beijing, Beijing, China
| | - Xiaoqi Hu
- National Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Beijing, Beijing, China
| | - Songming Du
- National Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Beijing, Beijing, China
| | - Jun Ma
- Health Science Center, Beijing University, Beijing, Beijing, China
| | - Guifa Xu
- Shandong University, Jinan, Shandong, China
| | - Ying Li
- Public Health College, Haerbin Medical University, Haerbin, Heilongjiang, China
| | | | - Lin Du
- Guangzhou Center for Diseases Prevention and Control, Guangzhou, Guangdong, China
| | - Guansheng Ma
- National Institute for Nutrition and Food Safety, Chinese Center for Disease Control and Prevention, Beijing, Beijing, China
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