Food Insecurity and Chronic Diseases: The Editorial
Notice bibliographique
Résumé
ood Insecurity (FI) defines as the limited or uncertain availability of nutritionally foods adequately or the inability to achieve them in ways which is socially acceptable (1).FI is considered as an international public health issue particularly in developing countries (2). In 1995 the U.S. Department of Agriculture (USDA) reported the prevalence of FI in USA as 11.9% which increased to 14.6% in 2008 (3). Its prevalence was reported 5.7% in Finland, 10% in Canada (4), 50% in Malaysia (5) and 70% in Bolivia (6). The FI populations are at risk of low intake of fruits and vegetables, lower quality diets and so lower micronutrients intake and iron deficiency anemia (7). Limited available budget in FI subjects, leads to purchase cheaper and high dense calorie foods; which might contribute to obesity, and an increased susceptibility to chronic illnesses including type 2 diabetes, cancer, depression and other medical condition such as acne, dyspepsia and so on (8). The very first step to reduce the burden of FI is considering understanding ofits effects on health. By now, anumerous studies have aimed to examine the impacts of FI on health outcomes in different age/ gender groups such as children, adults and elder lies. Over the past few years, the paradox of FI and obesity/ overweight, diabetes, cancer and depression has been focused in literatures. Recently the FI have been considered in many other disorders. Literatures show a positive association between FI and acne (9), dyslipidemia (10) and dyspepsia (34% FI with hunger in patients versus 10% in counterparts) (9). There are a set of evidences in Iran (mostly published by the author of this editorial), which show food security is significantly associated with many problems and diseases including low birth weight, short stature in children (as FI increase, the height of children decrease), pre-eclampsia in pregnancy, the type of delivery, obesity/ overweight in women, lower intelligence quotient in children, osteoporosis (33.8% in food secure versus 66.2% in FI group), diabetes mellitus, rheumatoid arthritis and premenstrual syndrome (FI without hunger in teenagers with PMS was approximately 2 times more than those without PMS) [Published in Farsi Language]. However, other studies concerning association of FI with other diseases / problems are still needed. On the other hand, finding the prevalence of FI in different Iran provinces to draw a clear picture of FI looks necessary. Therefore, investigators are expected to work on prevalence and diseases associated to FI in their future studies. Financial disclosure The author declare no financial interest. References 1. Nord M, Jemison K, Bickel GW. Measuring food security in the United States prevalence of food insecurity and hunger, by state, 1996–1998. Washington, D.C: U.S. Dept. of Agriculture, Economic Research Service 1999.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,005 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,010 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,006 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».