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Double Burden of Nutrition and some Eating Habits Characteristics of Preschool Children in Nam Hong Commune, Dong Anh district, Hanoi, 2018

2019· article· en· W2996314908 on OpenAlexaboutno aff
Lê Thị Tuyết, Nguyễn Thị Trung Thu, Ngo Thi Thu Hoai, Nguyễn Thị Lan Hương, Lê Thị Thuỳ Dung, Đỗ Nam Khánh

Bibliographic record

VenueVNU Journal of Science Medical and Pharmaceutical Sciences · 2019
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePediatricsEnvironmental healthGeographyDemographySociology

Abstract

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Abstract: The study aims to provide evidence of double nutritional burden (including malnutrition and overweight/obesity) as well as the impact of eating habits on nutritional status of preschool children at Nam Hong commune, Dong Anh district, Hanoi. Subjects of study: children aged from 24 to 60 months old at 2 preschools of Nam Hong commune. The study is divided into 2 phases: at the phase 1: a cross sectional study was applied to 1593 children; at the phase 2: a matched case-control study was applied in order to analyze effects of eating habits to nutritional status of children (1 malnourished child / 5 normal children and 1 obese overweight child / 5 normal children, matched pairs in age, sex, class). Research results: the percentage of children with normal nutritional status is 86.8%, however, Nam Hong still suffer a double burden of nutrition when the rate of malnourished children is still high (accounting for 4.2%) and overweight/obesity children is 9.0%, in which the rate of overweight and obesity children in boys is higher than girls (10.9% compared with 6.7%, respectively). Eating characteristics affect malnutrition status of children including: loss appetite (OR=4.3), slowness in eating (OR=2.23), enjoyment of food score (OR=0.69), desire to drink score (OR=0.82). Eating characteristics affect the overweight/obesity child’s include: appetite characteristics (OR=4.24), loss appetite (OR=0.43), fast eating (OR=2.56), slowness eating (OR=0.43), eating more (OR=6.78), eating less (OR=0.31), prefer fat (OR=2.18), food responsiveness score (OR=1.59), enjoyment of food score (OR=1.8), satiety responsiveness score (OR=0.51), slowness in eating score (OR=0.05), emotional under eating score (OR=0.67), food fussioness score (OR=0.72). Keywords Double burdens, malnutrition, overweight/obesity, Nam Hong commune, Dong Anh. References [1] L.T. Huong, N.T. Linh, N.T.T. Ha, Nutritional status and cognitive development of children under 6 in urban, rural and mountainous area of the north in 2012, Journal of Food and Nutrition Sciences 10 (2014) 67-74 (in Vietnamese). http://viendinhduong.vn/research/detail?id=620&catName=cac-de-tai-va-xuat-ban-pham&lang=vi[2] N.T.T. Thu, L.T. Tuyet, Anthropometric characteristics and nutritional status in 24 - 59 months children in Hanoi city, Thanh Hoa province and Phu Tho province in 2018, HNUE Journal of Science, Natural Sciences 3 (2018) 150-157. (in Vietnamese). https://doi.org/10.18173/2354-1059.2018-0016. http://stdb.hnue.edu.vn/portal/journals.php?articleid=5149.[3] N.T.T. Thu, L.T.T. Dung, L.T Tuyet, Nutritional status: the trends of preschool children aged 10–60 months in the north of Vietnam, Health Risk Analysis 4 (2018). https://doi.org/10.21668/health.risk/2018.4.06.eng[4] N.H. Trang, T.K. Hong, M.J. Dibley, Cohort profile: Ho Chi Minh City Youth Cohortdchanges in diet, physical activity, sedentary behaviour and relationship with overweight/obesity in adolescents, BMJ Open 2 (2012) e000362. https://doi.org/10.1136/bmjopen-2011-000362. http://dx.doi.org/10.1136/bmjopen-2011-000362[5] WHO, fact sheet, 2019. Infant and young child feeding, http://www.who.int/mediacentre/factsheets/fs342/en/ (accessed 6/2019). [6] WHO, Childhood overweight and obesity, 2019. https://www.who.int/dietphysicalactivity/childhood/en/ (accessed 6/2019).[7] J.M. Braun, H.J. Kalkwarf, G.D. Papandonatos, A. Chen, B.P. Lanphear, Patterns of early life body mass index and childhood overweight and obesity status at eight years of age, BMC Pediatr 18 (2018) 161. https://doi.org/10.1186/s12887-018-1124-9.[8] L.T. Tuyet, B.T. Nhung, T.Q. Binh, Association of neonatal, breastfeeding, eating behavior characteristics with obesity in primary school children in Hanoi urban areas, VNU Journal of Science: Natural Sciences and Technology 30 (2014) 275-281. (in Vietnamese). [9] L. Webber, C. Hill, J. Saxton, C.H. Van Jaarsveld, J. Wardle, Eating behaviour and weight in children, Int J Obes (Lond). 33 (2009) 21-28. https://doi.org/10.1038/ijo.2008.219.[10] A. Meule, A.P. Lutz, C. Vogele, A. Kubler, Impulsive reactions to food-cues predict subsequent food craving. Eat Behav 14 (2014) 99-105. https://doi.org/10.1016/j.eatbeh.2013.10.023.[11] WHO, Anthro Plus for Personal Computers Manual: Software for Assessing Growth of the World’s Children and Adolescents. Geneva, Switzerland: World Health Organization. http://www.who.int/growthref/tools/en/ (accessed 3/2019).[12] J. Wardle, C.A. Guthrie, S. Sanderson, L. Rapopor, Development of the Children's Eating Behaviour Questionnaire. J Child Psychol Psychiatry 42 (2001) 963-970. https://doi.org/10.1111/1469-7610.00792.[13] Vietnam National Institute of Nutrition, UNICEF, Alive and Thrive, Nutrition monitoring information 2013, Hanoi, Vietnam (2014).[14] UNICEF. Undernutrition contributes to nearly half of all deaths in children under 5 and is widespread in Asia and Africa 2019. 2019. https://data.unicef.org/topic/nutrition/malnutrition/# (accessed 3/2019).[15] M. de Onis, E. Borghi, M. Arimond, P. Webb, T. Croft, K. Saha, et al., Prevalence thresholds for wasting, overweight and stunting in children under 5 years, Public Health Nutr 22 (2019) 175-179. https://doi.org/10.1017/S1368980018002434.[16] A. Ek, K. Sorjonen, K. Eli, L. Lindberg, J. Nyman, C. Marcus, P. Nowicka, Associations between Parental Concerns about Preschoolers' Weight and Eating and Parental Feeding Practices: Results from Analyses of the Child Eating Behavior Questionnaire, the Child Feeding Questionnaire, and the Lifestyle Behavior Checklist, PLoS One 22 (2016) e0147257. https://doi.org/10.1371/journal.pone.0147257.[17] J. Zhang, Y. Zhai, X.Q. Feng, W.R. Li, Y.B. Lyu, T. Astell-Burt, P.Y. Zhao, X.M. Shi, Gender differences in the prevalence of overweight and obesity, associated behaviors, and weight-related perceptions in a National Survey of Primary School Children in China, Biomed Environ Sci 31 (2018) 1-11. https://doi.org/10.3967/bes2018.001.[18] V.H.C. Wang, J. Min, H. Xue, S. Du, F. Xu, H. Wang, Y. Wang, Factors contributing to sex differences in childhood obesity prevalence in China, Public Health Nutr 21 (2018) 2056-2064. https://doi.org/10.1017/S1368980018000290.[19] H. Ochiai, T. Shirasawa, R. Nishimura, A. Morimoto, N. Shimada, T. Ohtsu, M. Hashimoto, H. Hoshino, N. Tajima, A. Kokaze, Eating behavior and childhood overweight among population-based elementary school children in Japan, Int J Environ Res Public Health 9 (2012) 1398-1410. https://doi.org/10.3390/ijerph9041398.[20] L.T. Tuyet, B.T Nhung, T.Q Binh, Association of some eating behaviour characteristics and sedentary lifestyle with obesity among Hanoi primary school boy in 2012, VNU Journal of Science: Natural Sciences and Technology 31 (2), 60-66 (in Vietnamese). https://js.vnu.edu.vn/NST/article/view/76.[21] W. Labree W., D. van de Mheen, F. Rutten, G. Rodenburg, G. Koopmans, M. Foets, Differences in Overweight and Obesity among Children from Migrant and Native Origin: The Role of Physical Activity, Dietary Intake, and Sleep Duration, PLoS One 10 (2015) e0123672. https://doi.org/10.1371/journal.pone.0123672.[22] S. Kar, B. Khandelwal, Fast foods and physical inactivity are risk factors for obesity and hypertension among adolescent school children in east district of Sikkim, India, J Nat Sci Biol Med 6 (2015) 356-359. https://doi.org/10.4103/0976-9668.160004.[23] J.L. Santos, J.A. Ho-Urriola, A. Gonzalez, S.V. Smalley, P. Dominguez-Vasquez, R. Cataldo, Association between eating behavior scores and obesity in Chilean children, Nutr J. 10 (2011) 108. https://doi.org/10.1186/1475-2891-10-108.[24] J.C. Spence, V. Carson, L. Casey, N. Boule, Examining behavioural susceptibility to obesity among Canadian pre-school children: the role of eating behaviours, Int J Pediatr Obes 6 (2011) e501–7. https://doi.org/10.3109/17477166.2010.512087.[25] Y.T. Cao, V. Svensson, C. Marcus, J. Zhang, J.D. Zhang, T. Sobko, Eating behaviour patterns in Chinese children aged 12-18 months and association with relative weight - factorial validation of the Children's Eating Behaviour Questionnaire, Int J Behav Nutr Phys Act 9 (2012) 5. https://doi.org/10.1186/1479-5868-9-5.[26] A.T.N. Nguyen, M. Nishijo, T.T. Pham, N.N. Tran, A.H. Tran, L.V. Hoang, H. Boda, Y. Morikawa, Y. Nishino, H. Nishijo, Sex-specific effects of perinatal dioxin exposure on eating behavior in 3-year-old Vietnamese children, BMC Pediatr. 18 (2018) 213. https://doi.org/10.1186/s12887-018-1171-2.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.360
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2019
Admission routes1
Has abstractyes

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