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Enregistrement W2968992941 · doi:10.1016/s2214-109x(19)30276-1

Prevention and control of obesity in China

2019· review· en· W2968992941 sur OpenAlexaboutno aff
Youfa Wang, Hong Xue, Mingxiao Sun, Xinya Zhu, Li Zhao, Yuexin Yang

Notice bibliographique

RevueThe Lancet Global Health · 2019
Typereview
Langueen
DomaineMedicine
ThématiqueObesity, Physical Activity, Diet
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésOverweightScopusObesityChinaMedicinePublic healthEnvironmental healthDiseaseGerontologyChildhood obesityMEDLINEPolitical scienceInternal medicinePathology

Résumé

récupéré en direct d'OpenAlex

Obesity has become a global public health crisis, 1Wang Y Lobstein T Worldwide trends in childhood overweight and obesity.Int J Pediatr Obesity. 2006; 1: 11-25Crossref PubMed Scopus (1920) Google Scholar, 2Wang Y Mi J Shan X Wang QJ Ge K Is China facing an obesity epidemic and the consequences? The trends in obesity and chronic disease in China.Int J Obesity. 2007; 31: 177Crossref PubMed Scopus (520) Google Scholar, 3Ng M Fleming T Robinson M et al.Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013.Lancet. 2014; 384: 766-781Summary Full Text Full Text PDF PubMed Scopus (6729) Google Scholar, 4Wang Y Wang L Qu W New national data show alarming increase in obesity and noncommunicable chronic diseases in China.Eur J Clin Nutr. 2017; 71: 149Crossref PubMed Scopus (48) Google Scholar and China has the largest number of affected people worldwide, with about 46% of adults and 15% of children being obese or overweight.4Wang Y Wang L Qu W New national data show alarming increase in obesity and noncommunicable chronic diseases in China.Eur J Clin Nutr. 2017; 71: 149Crossref PubMed Scopus (48) Google Scholar Increasingly Chinese society is making efforts to address the rising obesity and chronic disease epidemic.3Ng M Fleming T Robinson M et al.Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013.Lancet. 2014; 384: 766-781Summary Full Text Full Text PDF PubMed Scopus (6729) Google Scholar In this context, in 2015, two of us (YW and YY) initiated a project that aimed to synthesise existing evidence in the field and help enhance obesity and chronic disease prevention and control efforts in China. Approximately 30 international and domestic experts with expertise in diverse fields ranging from public health to medicine worked closely during 2015–19 and developed a seven-chapter, 246-page report, published in April.5Wang Y Sun M Yang Y China blue paper on obesity prevention and control. Peking University Medical Publisher, Beijing2019Google Scholar The report systematically reviewed numerous existing obesity prevention policies in China, in other countries such as the USA, Canada, the UK, Australia, Mexico, Denmark, Chile, and Japan, and those advocated by international organisations including WHO and UNICEF. Considering the special social, cultural, economic, and contextual factors in China, the report proposes the following policy recommendations for China: (1)Make government responsible and enhance cross-sector collaboration. This includes integrating obesity prevention and control into government mandates and the day-to-day work of relevant government agencies and authorities, improving and completing the nutrition policy system, and fostering the training of nutritional experts and professionals.(2)Make better use of health professionals' institutions to promote large-scale, population-level educational programmes and campaigns; to provide individual-level counselling and guidance on obesity prevention, control, and treatment; to implement 360°, multilevel, multicomponent, and multisector prevention and intervention programmes and related research; and to develop and improving surveillance systems at national and local levels.(3)Engage families and individuals in obesity prevention and control by making individuals accountable for their health.(4)Improve obesogenic environments by establishing and improving regulations and policies on fast food expansion, marketing, food labelling, and nutrition education; establishing and improving regulations and policies on food storage and restaurant and food wholesale surveillance and management; encouraging healthy food supply and choices in the workplace; improving the school environment; improving land use planning; encouraging public transportation; improving built environments that encourage physical activity; ensuring protected time for adequate physical activity at school; and changing social norms and culture regarding healthy weight and energy balance behaviours through social marketing, traditional mass media, social media, etc.(5)Improve obesity treatment by standardising clinical guidelines, practice, and services; enhancing professional training in obesity diagnosis, prevention, and treatment; and promoting self-management of overweight and obese patients.(6)Reform health insurance policies to facilitate obesity prevention and treatment. The report also points out directions for future research: (1) promote long-term, large-scale, multilevel, multicomponent obesity research; (2) emphasise evidence-based policies and interventions; (3) promote research on healthy eating policies and interventions; (4) promote research on implementation, expansion, and sustainability of school-based research; (5) explore novel research approaches and intervention methods; (6) enhance research on environmental risk factors for obesity; and (7) enh ance research on outcome and impact evaluation. The report provides a comprehensive reference and important guidelines for future work on obesity prevention and treatment in China. It aims to strengthen research and to promote prevention of obesity and chronic diseases, multidisciplinary cooperation, development and implementation of new government policies, and broad society mobilisation. The report development process also promoted cooperation and exchanges among domestic and international experts and stakeholders, which will help expand future collaborations. These experiences could provide a useful insight for other countries in their efforts to fight obesity and chronic diseases. We declare no competing interests.

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)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,073
Score d'incertitude au seuil0,144

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,003
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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 Opus0,050
Tête enseignante GPT0,407
Écart entre enseignants0,357 · 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'étudeSans objet
Domainenon disponible
GenreSynthèse

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

En bref

Citations120
Publié2019
Routes d'admission1
Résumé présentoui

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Même revueThe Lancet Global HealthMême sujetObesity, Physical Activity, DietTravaux en français237 207