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Enregistrement W2996314908 · doi:10.25073/2588-1132/vnumps.4175

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 sur OpenAlexaboutno aff
Lê Thị Tuyết, Nguyễn Thị Trung Thu, Ngo Thi Thu Hoai, Nguyễn Thị Lan Hương, Lê Thị Thuỳ Dung, Đỗ Nam Khánh

Notice bibliographique

RevueVNU Journal of Science Medical and Pharmaceutical Sciences · 2019
Typearticle
Langueen
DomaineMedicine
ThématiquePublic Health and Nutrition
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePediatricsEnvironmental healthGeographyDemographySociology

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,112
Score d'incertitude au seuil0,222

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,031
Tête enseignante GPT0,360
Écart entre enseignants0,329 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2019
Routes d'admission1
Résumé présentoui

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