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Sinha S, Ahmad R, Chowdhury K, Islam S, Mehta M, Haque M. Childhood Obesity: A Narrative Review. Cureus 2025; 17:e82233. [PMID: 40231296 PMCID: PMC11995813 DOI: 10.7759/cureus.82233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2025] [Accepted: 04/14/2025] [Indexed: 04/16/2025] Open
Abstract
Obesity among children has emerged as a worldwide health issue due to childhood obesity becoming a pandemic, and it is often linked to various illnesses, fatal outcomes, and disability in adulthood. Obesity has become an epidemic issue in both developed and developing countries, particularly among youngsters. The most common factors contributing to non-communicable diseases (NCDs) are unhealthy eating habits, desk-bound games, avoidance of physical activity-requiring activities, smoking, alcohol usage, and other added items. All these factors increase NCDs, including obesity, resulting in various morbidities and early death. Additionally, childhood obesity has psychological, emotional, cognitive, societal, and communicative effects. For example, it raises the possibility of issues related to physical appearance, self-esteem, confidence level, feelings of isolation, social disengagement, stigma, depression, and a sense of inequality. Children who consume more energy-dense, high-fat, low-fiber-containing food than they need usually store the excess as body fat. Standardizing indicators and terminology for obesity-related metrics is critical for better understanding the comparability of obesity prevalence and program effectiveness within and between countries. The underlying variables must be altered to reduce or avoid harm to the target organ in children. As a result, reducing childhood obesity is a considerable public health goal for the benefit of society and the long-term well-being of individuals.
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Affiliation(s)
- Susmita Sinha
- Physiology, Enam Medical College and Hospital, Dhaka, BGD
| | - Rahnuma Ahmad
- Physiology, Medical College for Women and Hospital, Dhaka, BGD
| | - Kona Chowdhury
- Pediatrics, Enam Medical College and Hospital, Dhaka, BGD
| | - Shamima Islam
- Forensic Medicine, Enam Medical College and Hospital, Dhaka, BGD
| | - Miral Mehta
- Pedodontics and Preventive Dentistry, Karnavati School of Dentistry, Karnavati University, Gandhinagar, IND
| | - Mainul Haque
- Pharmacology and Therapeutics, National Defence University of Malaysia, Kuala Lumpur, MYS
- Research, Karnavati School of Dentistry, Karnavati University, Gandhinagar, IND
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Hansch L, Fischer M, Längler A, Michalsen A, Weder S, Keller M, Alexy U, Perrar I. Dietary patterns among children and adolescents in Germany consuming vegetarian, vegan or omnivore diets: results of the VeChi Youth Study. Eur J Nutr 2024; 63:3161-3174. [PMID: 39311899 PMCID: PMC11519145 DOI: 10.1007/s00394-024-03497-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 08/31/2024] [Indexed: 10/29/2024]
Abstract
PURPOSE To identify dietary patterns of vegetarian, vegan and omnivore children and adolescents in Germany and to examine associations with nutrient intake. METHODS First, three principal component analyses based on 17-22 food groups were used to identify dietary patterns among vegetarians (n = 145, 3-day weighed dietary records), vegans (n = 110) and omnivores (n = 135) from the cross-sectional Vegetarian and Vegan Children and Youth (VeChi Youth) Study (2017-2019, 6-18 years, 57% girls). Secondly, these patterns were correlated (Spearman correlations) with energy and nutrient intakes. RESULTS Among vegetarians, 3 dietary patterns were identified ("Animal foods", "Vegetables and fruits", "Meat alternatives and potatoes") accounting for 32.7% of the variance in food group intake. In the vegan group, 4 patterns were identified ("Vegetables and legumes", "Refined carbohydrates", "Meat alternatives and juices", "Fruits and convenience foods") accounting for 43.2% of the variance. Among omnivores, 5 ("Flexitarian", "Vegetables and fruits", "Dairy Products", "meat and convenience foods", "Refined grains and juices") patterns accounting for 43.0% of the variance could be identified. Regardless of diet group, both more favorable dietary patterns ("Vegetables and fruits", "Meat alternatives and potatoes", "Vegetables and legumes", "Fruits and convenience food", "Flexitarian") correlated with higher micronutrient density and less favorable dietary patterns ("Animal foods", "Refined carbohydrates", "Meat alternatives and juices", "Dairy products", "Meat and convenience food", "Refined grains and juices") with unfavorable nutrient profiles were found. CONCLUSION Various dietary patterns exist within omnivore, vegetarian, and vegan diets of children and adolescents, which differ in their contribution to nutrient intake. It is therefore necessary to distinguish between different dietary patterns, also within the vegetarian and vegan diet.
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Affiliation(s)
- Lea Hansch
- Department of Nutritional Epidemiology, Institute of Nutritional and Food Science (IEL), University of Bonn, DONALD Study, Heinstück 11, 44225, Dortmund, Germany
| | - Morwenna Fischer
- Faculty of Human Resources, Health and Social Work, University of Applied Sciences (FHM), 33602, Bielefeld, Germany
| | - Alfred Längler
- Department of Pediatrics, Gemeinschaftskrankenhaus, Herdecke, Germany
- Faculty of Health, Professorship for Integrativ Pediatrics, Witten Herdecke University, Witten, Germany
| | - Andreas Michalsen
- Institute of Social Medicine, Epidemiology and Health Economics, Charité- Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Stine Weder
- Research Institute of Plant-Based Nutrition, 35444, Gießen/Biebertal, Germany
| | - Markus Keller
- Research Institute of Plant-Based Nutrition, 35444, Gießen/Biebertal, Germany
| | - Ute Alexy
- Department of Nutritional Epidemiology, Institute of Nutritional and Food Science (IEL), University of Bonn, DONALD Study, Heinstück 11, 44225, Dortmund, Germany.
| | - Ines Perrar
- Department of Nutritional Epidemiology, Institute of Nutritional and Food Science (IEL), University of Bonn, DONALD Study, Heinstück 11, 44225, Dortmund, Germany
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Morales-Suárez-Varela M, Peraita-Costa I, Llopis-Morales A, Llopis-González A. Cross-Sectional Assessment of Nutritional Status, Dietary Intake, and Physical Activity Levels in Children (6-9 Years) in Valencia (Spain) Using Nutrimetry. Nutrients 2024; 16:2649. [PMID: 39203786 PMCID: PMC11356814 DOI: 10.3390/nu16162649] [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] [Received: 07/03/2024] [Revised: 07/28/2024] [Accepted: 08/08/2024] [Indexed: 09/03/2024] Open
Abstract
The aims of this research were to evaluate the current nutritional status, dietary intake, and level of physical activity and assess the need for intervention. This was a cross-sectional study with 2724 participating children aged 6-9 years old. Nutritional status was assessed using nutrimetry, dietary intake with a 3-day food-recall questionnaire and physical activity with an ad hoc questionnaire. The nutricode with the highest prevalence was healthy weight/normal stature, with 51.3% of the sample. For the BMI for age Z-score, those in the overweight/obesity category represented 37.5% of the sample, while the thinness category included 7.6%. Intake of calories, proteins, sugar, lipids, SFA, MUFA, and cholesterol were significantly higher than recommended. The thinness groups consumed a significantly higher amount of excess calories while the overweight/obesity groups had the lowest mean excess calorie intake. Children in the thinness category presented the highest rates at both ends of the spectrum for sedentary activities. This study showed the high prevalence of malnutrition in schoolchildren. The results for the risk of thinness and overweight/obesity according to individual nutrient intake should be carefully interpreted. Lifestyle is a fundamental aspect to consider when combating malnutrition, especially at the level of dietary and physical activity habits, to combine various methods of intervention to improve nutritional status.
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Affiliation(s)
- María Morales-Suárez-Varela
- Research Group in Social and Nutritional Epidemiology, Pharmacoepidemiology and Public Health, Department of Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine, Faculty of Pharmacy and Food Sciences, Universitat de València, Av. Vicent Andrés Estelles s/n, 46100 Burjassot, València, Spain; (I.P.-C.); (A.L.-M.); (A.L.-G.)
- Biomedical Research Center in Epidemiology and Public Health Network (CIBERESP), Carlos III Health Institute, Av. Monforte de Lemos 3-5 Pabellón 11 Planta 0, 28029 Madrid, Madrid, Spain
| | - Isabel Peraita-Costa
- Research Group in Social and Nutritional Epidemiology, Pharmacoepidemiology and Public Health, Department of Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine, Faculty of Pharmacy and Food Sciences, Universitat de València, Av. Vicent Andrés Estelles s/n, 46100 Burjassot, València, Spain; (I.P.-C.); (A.L.-M.); (A.L.-G.)
- Biomedical Research Center in Epidemiology and Public Health Network (CIBERESP), Carlos III Health Institute, Av. Monforte de Lemos 3-5 Pabellón 11 Planta 0, 28029 Madrid, Madrid, Spain
| | - Agustín Llopis-Morales
- Research Group in Social and Nutritional Epidemiology, Pharmacoepidemiology and Public Health, Department of Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine, Faculty of Pharmacy and Food Sciences, Universitat de València, Av. Vicent Andrés Estelles s/n, 46100 Burjassot, València, Spain; (I.P.-C.); (A.L.-M.); (A.L.-G.)
| | - Agustín Llopis-González
- Research Group in Social and Nutritional Epidemiology, Pharmacoepidemiology and Public Health, Department of Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine, Faculty of Pharmacy and Food Sciences, Universitat de València, Av. Vicent Andrés Estelles s/n, 46100 Burjassot, València, Spain; (I.P.-C.); (A.L.-M.); (A.L.-G.)
- Biomedical Research Center in Epidemiology and Public Health Network (CIBERESP), Carlos III Health Institute, Av. Monforte de Lemos 3-5 Pabellón 11 Planta 0, 28029 Madrid, Madrid, Spain
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Sharma N, Sanjeevi RR, Balasubramanian K, Chahal A, Sharma A, Sidiq M. A Systematic Review on Prevalence of Overweight and Obesity among School Children and Adolescents in Indian Population. Indian J Endocrinol Metab 2024; 28:104-116. [PMID: 38911116 PMCID: PMC11189280 DOI: 10.4103/ijem.ijem_365_23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 12/07/2023] [Accepted: 01/20/2024] [Indexed: 06/25/2024] Open
Abstract
Obesity has erupted as an epidemic around the world. It has set itself as a fast wave among other prevailing specific clusters of non-communicable diseases. The current study reviews and presents an updated meaningful review of the vast research work performed at schools located in different cities of India. A systematic search was conducted in PubMed, Scopus, Google Scholar and PEDro. Studies representing data on obesity and overweight among children in Indian cities were included in the review. A total of 21 articles with 71,466 participants were included in the review for analysis. Obesity developed in childhood and adolescence is greatly associated with heart disease, stroke and cancer (breast and ovarian in women and prostate in men) in the late stage of life. In India, despite being a country with a faster rate of population becoming overweight and obese in urban areas, in contrast, rural areas are still struggling with malnutrition.
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Affiliation(s)
- Nidhi Sharma
- Uttaranchal College of Health Sciences, Uttaranchal University, Prem Nagar, Dehradun, India
| | - Ramya Ramasamy Sanjeevi
- Physical Therapy Department, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Karthick Balasubramanian
- Physical Therapy Department, College of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia
| | - Aksh Chahal
- Department of Physiotherapy, School of Medical and Allied Health Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India
| | - Abhishek Sharma
- Department of Physiotherapy, Arogyam Institute of Paramedical and Allied Sciences (Affiliated to H.N.B. Uttarakhand Medical Education University) Roorkee, Uttarakhand, India
| | - Mohammad Sidiq
- Department of Physiotherapy, School of Medical and Allied Health Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India
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Gontijo de Castro T, Lovell A, Santos LP, Jones B, Wall C. Maternal determinants of dietary patterns in infancy and early childhood in the Growing up in New Zealand cohort. Sci Rep 2023; 13:22754. [PMID: 38123672 PMCID: PMC10733397 DOI: 10.1038/s41598-023-49986-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023] Open
Abstract
Given the importance of diet in early life, assessing children's diet is crucial to guide interventions. Using data from a nationally generalizable New Zealand (NZ) birth cohort we examined children's dietary patterns at 9- (n = 6259), 24- (n = 6292), and 54-months (n = 6131), and their association with maternal sociodemographic and health behaviours. At each time-point, children's dietary patterns were identified using principal components analysis. We then used multivariate linear regression to examine associations between each pattern and maternal variables. At 9-, 24- and 54-months, two dietary patterns were identified, explaining 36.4%, 35.3% and 33.6% of children's intake variability, respectively. Refined high in sugar, salt and fat dietary pattern, at all time-points, was characterized by high positive loadings in white/refined breads and cereals, and items with high sugar, sodium, and fat content. At 24-months, Refined high in sugar, salt and fat also included a high positive loading with protein food groups. Fruit and vegetables dietary pattern, at all time-points, had high positive loadings for fruits and vegetables (with type varying across time-points). Fruit and vegetables also included high loading in whole grain options of breads and cereals at 24-months and the protein food group was part of this dietary pattern at 9- and 54-months. Children's scores on the Refined high in sugar, salt and fat pattern had strong associations with maternal smoking habits, education level, ethnicity, and maternal scores in the "Junk" and "Traditional/White bread" dietary patterns (constructed from an antenatal interview). Children's scores on the Fruit and vegetables pattern had strong associations with the maternal scores in the dietary pattern "Health Conscious". Interventions to improve diet in early life in NZ need to be responsive to ethnicity and suitable for people of all education levels. Interventions that improve maternal health behaviours may also improve children's diet.
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Affiliation(s)
- Teresa Gontijo de Castro
- Department of Nutrition and Dietetics, Faculty of Health and Medical Sciences, University of Auckland, Grafton Road - Bldg 219, Level B, Room B01, Auckland, 1010, New Zealand.
- Department of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand.
| | - Amy Lovell
- Department of Nutrition and Dietetics, Faculty of Health and Medical Sciences, University of Auckland, Grafton Road - Bldg 219, Level B, Room B01, Auckland, 1010, New Zealand
| | | | - Beatrix Jones
- Department of Statistics, Faculty of Sciences, University of Auckland, Auckland, New Zealand
| | - Clare Wall
- Department of Nutrition and Dietetics, Faculty of Health and Medical Sciences, University of Auckland, Grafton Road - Bldg 219, Level B, Room B01, Auckland, 1010, New Zealand
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Hennessy Á, McCarthy EK, Ní Chaoimh C, Murray DM, Kiely ME. Poor Quality Diets Characterized by Low-Nutrient Density Foods Observed in One-Quarter of 2-Year-Olds in a High Resource Setting. J Nutr 2023; 153:2678-2688. [PMID: 37356499 DOI: 10.1016/j.tjnut.2023.06.029] [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] [Received: 02/10/2023] [Revised: 04/17/2023] [Accepted: 06/22/2023] [Indexed: 06/27/2023] Open
Abstract
BACKGROUND Young children have high nutritional requirements relative to their body size, making healthy diets critical for normal growth and development. OBJECTIVE We aimed to integrate analysis of dietary patterns among 2-y-old children with indicators of dietary quality, micronutrient status, and body weight status. METHODS Data from the 2-y follow-up of the Cork BASELINE Birth Cohort included dietary assessment using a 2-d weighed food diary, vitamin D and iron status biomarkers, and anthropometry (n = 468). K-means cluster analysis identified predominant dietary patterns based on energy contributions and associations with nutrient intakes and status and body weight were investigated. RESULTS Four dietary patterns emerged: "Cows' milk" (unmodified cows' milk: 32% of total energy (TE)); "Traditional" (wholemeal breads, butter, fresh meat, fruit); "Low Nutrient Density (LND) foods" (confectionary, processed meat, convenience foods) and "Formula" (young child formula: 23%TE). The LND pattern was associated with excessive free sugar intake (14%TE) and salt intake (153% of daily limit). No differences in patterns of overweight were observed between the 4 groups; however, the LND group had 3-fold higher odds of being underweight [aOR (95% CI): 3.2 (1.2, 8.5)]. Children consuming >400ml/d of cows' milk or formula exhibited lower dietary variety, fewer family-type meals, and continued use of feeding bottles (75% and 81%, respectively, vs. 35-37% in the other groups). CONCLUSIONS Unhealthy eating habits are common among young children. Dietary guidance to support families to provide healthy diets needs to maintain currency with eating habits and focus on food choices for meals, snacks, and beverages.
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Affiliation(s)
- Áine Hennessy
- Cork Centre for Vitamin D and Nutrition Research, School of Food and Nutritional Sciences, College of Science, Engineering and Food Science, University College Cork, Cork, Ireland; The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland
| | - Elaine K McCarthy
- Cork Centre for Vitamin D and Nutrition Research, School of Food and Nutritional Sciences, College of Science, Engineering and Food Science, University College Cork, Cork, Ireland; The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland
| | - Carol Ní Chaoimh
- Cork Centre for Vitamin D and Nutrition Research, School of Food and Nutritional Sciences, College of Science, Engineering and Food Science, University College Cork, Cork, Ireland; The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland
| | - Deirdre M Murray
- The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland; Department of Paediatrics and Child Health, College of Medicine and Health, University College Cork, Cork, Ireland
| | - Mairead E Kiely
- Cork Centre for Vitamin D and Nutrition Research, School of Food and Nutritional Sciences, College of Science, Engineering and Food Science, University College Cork, Cork, Ireland; The Irish Centre for Maternal and Child Health Research (INFANT), University College Cork, Cork, Ireland.
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Rietz M, Schmidt-Persson J, Rasmussen MGB, Egebaek HK, Wedderkopp N, Kristensen PL, Grøntved A. Recreational screen time trajectories during early childhood and imaging-measured body composition at age 7 in the Odense child cohort. Paediatr Perinat Epidemiol 2023; 37:415-424. [PMID: 36799105 DOI: 10.1111/ppe.12956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 01/09/2023] [Accepted: 01/11/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND Children spend increasing amounts of time on recreational screen media, which may lead to an obesogenic environment. OBJECTIVES We investigated the association of trajectories of screen time across ages 3, 5 and 7 years with body composition at age 7 in the Odense Child Cohort. METHODS Data were collected in the Municipality of Odense, Denmark, between 2010 and 2019. Group-based trajectory modelling was applied to group participants into four trajectories of prospective parent-reported screen time. Body composition was assessed using dual-energy x-ray absorptiometry with calculated fat-mass index (FMI) as the primary outcome. Primary models were linear multivariable regression models adjusted for participants' sex, age, birthweight, maternal origin, maternal education, maternal body-mass-index, and maternal age. Further models were adjusted for additional possible confounders. Selection bias was addressed by inverse probability weighting. RESULTS In total, 803 children (48.2% female) were included in the primary analysis. Participants with screen time at all time points were assigned to four trajectory groups [constant low screen time (12.7%), low increase (36.3%), high increase between ages 3 and 5 (33.5%) and high increase in screen time (17.5%)]. Sample characteristics differed across missing data status and trajectories. Mean FMI (kg/m2 ) and standard deviation (SD) were 3.7 (SD 1.3) and 3.9 (SD 1.6) for the constant low versus high screen time, respectively. No differences in FMI were found between screen time trajectory groups at age 7 (adjusted mean difference 0.1 kg/m2 , 95% confidence interval -0.3, 0.5 for constant low versus high screen time). No consistent associations between screen time groups and secondary body composition outcomes were found. CONCLUSIONS Results from this study do not suggest that recreational screen time from age 3 to 7 years is associated with adiposity or other measures of body composition.
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Affiliation(s)
- Marlene Rietz
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Jesper Schmidt-Persson
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Martin Gillies Banke Rasmussen
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Heidi Klakk Egebaek
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- University College South Denmark, Haderslev, Denmark
| | - Niels Wedderkopp
- The Pediatric Research Unit, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Peter Lund Kristensen
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Anders Grøntved
- Center for Research in Childhood Health, Research Unit for Exercise Epidemiology, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
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Rizzardi KF, Crescente CL, Indiani CMDSP, Steiner-Oliveira C, Nobre-Dos-Santos M, Parisotto TM. Early childhood caries, obesity and anthropometric measurements: Is there a relationship? Front Nutr 2022; 9:873562. [PMID: 36034930 PMCID: PMC9400926 DOI: 10.3389/fnut.2022.873562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 07/18/2022] [Indexed: 12/04/2022] Open
Abstract
This brief research report explored the relationship among obesity, anthropometric measurements, and early childhood caries (ECC), in 3–5 years-old children. Three hundred and ninety-one Brazilian preschoolers were given anthropometric examinations for the assessment of general, peripheral, and central adiposity, by the following measures: body mass index (BMI), hip circumference, and waist circumference. Obesity status was determined by BMI according to WHO standards. Parent's age and BMI were assessed by questionnaire, and sucrose exposure was tracked by means of a food diary. For the assessment of ECC, dental examinations were performed according to modified WHO criteria. Also, the presence of dental biofilm in maxillary incisors was detected. A direct association between BMI and ECC was found in the bivariate analysis and the best possibility of logistic regression model showed that hip circumference (HC) values ≥62 centimeters (OR = 1.63; p = 0.033) jointly with the presence of dental biofilm (OR = 2.38; p = 0.000), children's ages ≥37 months (OR = 5.09; p = 0.012), and mothers younger than 35 years (OR = 1.96; p = 0.004) were significantly connected with ECC. In conclusion, peripheral adiposity (represented by HC) in young children was in fact associated with ECC. Thus, hip circumference might be a valuable tool for exploring the relationship between caries and obesity in the early years of life.
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Affiliation(s)
- Karina Ferreira Rizzardi
- Laboratory of Clinical and Molecular Microbiology, University São Francisco - USF, Bragança, Brazil
| | - Camila Lopes Crescente
- Laboratory of Clinical and Molecular Microbiology, University São Francisco - USF, Bragança, Brazil
| | | | - Carolina Steiner-Oliveira
- Pediatric Dentistry, Department of Pediatric Dentistry, Piracicaba Dental School, State University of Campinas - UNICAMP, Piracicaba, Brazil
| | - Marinês Nobre-Dos-Santos
- Pediatric Dentistry, Department of Pediatric Dentistry, Piracicaba Dental School, State University of Campinas - UNICAMP, Piracicaba, Brazil
| | - Thaís Manzano Parisotto
- Laboratory of Clinical and Molecular Microbiology, University São Francisco - USF, Bragança, Brazil
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9
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Dalrymple KV, Vogel C, Godfrey KM, Baird J, Harvey NC, Hanson MA, Cooper C, Inskip HM, Crozier SR. Longitudinal dietary trajectories from preconception to mid-childhood in women and children in the Southampton Women's Survey and their relation to offspring adiposity: a group-based trajectory modelling approach. Int J Obes (Lond) 2022; 46:758-766. [PMID: 34916617 PMCID: PMC8960403 DOI: 10.1038/s41366-021-01047-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 11/23/2021] [Accepted: 11/26/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Rates of childhood obesity are increasing globally, with poor dietary quality an important contributory factor. Evaluation of longitudinal diet quality across early life could identify timepoints and subgroups for nutritional interventions as part of effective public health strategies. OBJECTIVE This research aimed to: (1) define latent classes of mother-offspring diet quality trajectories from pre-pregnancy to child age 8-9 years, (2) identify early life factors associated with these trajectories, and (3) describe the association between the trajectories and childhood adiposity outcomes. DESIGN Dietary data from 2963 UK Southampton Women's Survey mother-offspring dyads were analysed using group-based trajectory modelling of a diet quality index (DQI). Maternal diet was assessed pre-pregnancy and at 11- and 34-weeks' gestation, and offspring diet at ages 6 and 12 months, 3, 6-7- and 8-9-years using interviewer-administered food frequency questionnaires. At each timepoint, a standardised DQI was derived using principal component analysis. Adiposity age 8-9 years was assessed using dual-energy X-ray absorptiometry (DXA) and BMI z-scores. RESULTS A five-trajectory group model was identified as optimal. The diet quality trajectories were characterised as stable, horizontal lines and were categorised as poor (n = 142), poor-medium (n = 667), medium (n = 1146), medium-better (n = 818) and best (n = 163). A poorer dietary trajectory was associated with higher maternal pre-pregnancy BMI, smoking, multiparity, lower maternal age and lower educational attainment. Using linear regression adjusted for confounders, a 1-category decrease in the dietary trajectory was associated with higher DXA percentage body fat (0.08 SD (95% confidence interval 0.01, 0.15) and BMI z-score (0.08 SD (0.00, 0.16) in the 1216 children followed up at age 8-9 years. CONCLUSION Mother-offspring dietary trajectories are stable across early life, with poorer diet quality associated with maternal socio-demographic and other factors and childhood adiposity. The preconception period may be an important window to promote positive maternal dietary changes in order to improve childhood outcomes.
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Affiliation(s)
- Kathryn V Dalrymple
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Christina Vogel
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Janis Baird
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Mark A Hanson
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Institute of Developmental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Hazel M Inskip
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sarah R Crozier
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK.
- NIHR Applied Research Collaboration Wessex, Southampton Science Park, Innovation Centre, 2 Venture Road, Chilworth, Southampton, SO16 7NP, UK.
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10
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Dalrymple KV, Flynn AC, Seed PT, Briley AL, O'Keeffe M, Godfrey KM, Poston L. Modifiable early life exposures associated with adiposity and obesity in 3-year old children born to mothers with obesity. Pediatr Obes 2021; 16:e12801. [PMID: 33998777 PMCID: PMC7611818 DOI: 10.1111/ijpo.12801] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 04/09/2021] [Accepted: 04/26/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Children born to mothers with obesity are at increased risk of obesity. Influences underlying this predisposition include in-utero exposures, genetic predisposition and a shared family environment. Effective intervention strategies are needed to prevent obesity in these high-risk children; this requires evaluation of modifiable pregnancy and early-life risk factors. OBJECTIVES To assess the individual and cumulative contributions of maternal and early-life modifiable exposures on childhood adiposity and obesity outcomes in 3-year-old children born to women with obesity. METHODS We used adjusted regression to assess the individual and cumulative contributions of six exposures (early pregnancy BMI, excessive gestational weight gain, mode of infant feeding and three measures of childhood eating habits [food responsiveness, slowness in eating and a processed/snacking dietary pattern score]) on body composition in 495 three-year-old children. Outcomes included BMI z-score, arm circumference and overweight/obesity (BMI≥25.0 kg/m2 ). RESULTS While the UPBEAT intervention did not influence adiposity outcomes in 3-year-old children, the six modifiable exposures combined incrementally to increase childhood adiposity and obesity. For each additional exposure, children had a higher BMI z-score (β = 0.35SD [95% confidence interval: 0.23, 0.47]), arm circumference (β = 0.59 cm [0.40, 0.79]) and risk of overweight/obesity (relative risk 1.49 [1.26, 1.77]). Compared to no exposures, children with four or more exposures had a higher BMI z-score (1.11SD [0.65, 1.58]), arm circumference (2.15 cm [1.41, 2.89]) and risk of overweight/obesity (3.01 [1.67, 5.41]) (all P < 0.001). CONCLUSION Our findings suggest that complex interventions targeting preconception, pregnancy, perinatal and early childhood exposures offer a potential strategy for prevention of pre-school obesity.
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Affiliation(s)
- Kathryn V Dalrymple
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Angela C Flynn
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Paul T Seed
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Annette L Briley
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
- College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Adelaide, South Australia, Australia
| | - Majella O'Keeffe
- Department of Nutritional Sciences, School of Life Course Sciences, King's College London, London, UK
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lucilla Poston
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
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11
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Babashahi M, Omidvar N, Joulaei H, Zargaraan A, Zayeri F, Veisi E, Doustmohammadian A, Kelishadi R. Scrutinize of healthy school canteen policy in Iran's primary schools: a mixed method study. BMC Public Health 2021; 21:1566. [PMID: 34407797 PMCID: PMC8375065 DOI: 10.1186/s12889-021-11587-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 08/02/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Schools provide an opportunity for developing strategies to create healthy food environments for children. The present study aimed to analyze the Healthy School Canteen (HSC) policy and identify challenges of its implementation to improve the school food environment in Iran. METHODS This mixed method study included two qualitative and quantitative phases. In the qualitative phase, triangulation approach was applied by using semi-structured interviews with key informants, documents review and direct observation. Data content analysis was conducted through policy analysis triangle framework. In the quantitative phase, food items available in 64 canteens of primary schools of Tehran province were gathered. The food's nutrient data were evaluated using their nutrition facts label. The number and proportion of foods that met the criteria based on Iran's HSC guideline and the World Health Organization nutrient profile model for the Eastern Mediterranean Region (WHO-EMR) were determined. RESULTS The main contextual factors that affected adoption of HSC policy included health (nutritional transition, high prevalence of non-communicable diseases and unhealthy food environment in and around the schools), political (upstream supportive policies and joint memorandums about health children between the Ministry of Health and Medical Education and Ministry of Education), structural (the lack of unified stewardship, inadequate human resource capacity, poor inter-sectional cooperation), economic (school financial problems, poor fiscal supportive of food policies), and socio-cultural (mothers working outside the home, the role of children's peer group, low nutrition knowledge of school principals) factors. Assessment of the school canteens showed that a large proportion of available foods did not comply with the national guidelines (54.7 ± 2.54%) and WHO-EMR model (85.6 ± 2.34%). The main reasons identified for incomplete implementation of the policy were inadequate physical and economic infrastructure to set up standard school canteens, lack of scientific criteria for food categorization, poor monitoring, high price of healthy foods, and conflict of interest among the actors. CONCLUSION The majority of foods and beverages available in the school canteens did not comply with national and regional standards. Iran HSC policy needs to be improved by using an evidence-based approach and active interaction between all key actors.
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Affiliation(s)
- Mina Babashahi
- Department of Community Nutrition, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasrin Omidvar
- Department of Community Nutrition, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Hassan Joulaei
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Azizollaah Zargaraan
- Department of Food and Nutrition Policy and Planning Research, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farid Zayeri
- Proteomics Research Center and Department of Biostatistics, Faculty of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elnaz Veisi
- Department of Community Nutrition, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Azam Doustmohammadian
- Gastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Roya Kelishadi
- Department of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
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12
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Dietary Patterns in Early Childhood and the Risk of Childhood Overweight: The GECKO Drenthe Birth Cohort. Nutrients 2021; 13:nu13062046. [PMID: 34203797 PMCID: PMC8232591 DOI: 10.3390/nu13062046] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/09/2021] [Accepted: 06/11/2021] [Indexed: 11/17/2022] Open
Abstract
Limited and inconsistent evidence exists on the associations between dietary patterns and overweight during childhood. The present study describes dietary patterns of three-year-old Dutch children and associations between childhood overweight and body mass index (BMI) development between 3 and 10 years. In the GECKO Drenthe birth cohort (N = 1306), body height and weight were measured around the age of 3, 4, 5, and 10 years, and overweight was defined according to Cole and Lobstein. A validated food frequency questionnaire (FFQ) was used to measure diet at 3 years. Dietary patterns were derived using principal components analysis (PCA). Using logistic regression analyses, pattern scores were related to overweight at 3 and 10 years. A linear mixed-effect model was used to estimate BMI-SDS development between 3 to 10 years according to quartiles of adherence to the pattern scores. Two dietary patterns were identified: (1) 'minimally processed foods', indicating high intakes of vegetables/sauces/savory dishes, and (2) 'ultra-processed foods', indicating high intakes of white bread/crisps/sugary drinks. A 1 SD increase in the 'ultra-processed foods' pattern score increased the odds of overweight at 10 years (adjusted OR: 1.30; 95%CI: 1.08, 1.57; p = 0.006). The 'minimally processed foods' pattern was not associated with overweight. Although a high adherence to both dietary patterns was associated with a higher BMI-SDS up to 10 years of age, a stronger association for the 'ultra-processed foods' pattern was observed (p < 0.001). A dietary pattern high in energy-dense and low-fiber ultra-processed foods at 3 years is associated with overweight and a high BMI-SDS later in childhood.
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