Gender Differentials In Nutritional Status of Elderly People In Selected Rural Areas of Bangladesh
Notice bibliographique
Résumé
Background: The present cross sectional study was undertaken to assess the food habits and nutritional status among elderly people in rural Bangladesh and to compare the same between male and female. A simple random sampling and geographical re-conciliation method was used to select the study population. All the patients in a pre-publicized medical camp were approached and a total of 186 male and 237 female participated in the study. Data were collected through face to face interview with a semi-structured questionnaire and anthropometric measures were collected using instruments. Associations between dietary intake and World Health Organization (WHO) referred Body Mass Index (BMI) range was done using cross tabulation. Results: The mean age of male was 67.69 years and that of female was 65.46 years. The female subjects were higher than males in number in this study. The rate of male literacy was found to be 39.8% where literacy among the female was 13.9%. Among all, 79.6% males were found to be living with their spouse where the rate of living with spouse among the female amounted 53.2%. About half of elderly people were found to be living under poor and 32% in low middle class socio-economic condition. Study revealed that 80.6% male and 78.9% female got no opportunity to take protein-rich food more than three days per week. Again 95.7% male and 97.5% female had no opportunity take more than two servings of protein rich food per week. The similar case occurred in case of taking fatty food, vegetable and fruits per week. Similarly 100 % male and 99.6% female reported that they were taking more than two servings of fatty food per week. No significant association was found between BMI and food intake. The significance was tested by Pearson chi-square. In this test the p value for protein rich food was 0.234 (p?0.05), while fatty food (0.712), vegetable (0.502) and fruits (0.274) which was more than referred significance p-value ?0.05. Hence, the study confirmed that malnutrition remains a common problem among older people living in rural Bangladesh though there is no significant association was found between food intake and nutrition. Conclusion: Management of malnutrition in case of elderly population requires a multidisciplinary approach that treats pathology and uses both social and dietary forms of intervention. Bangladesh Journal of Medical Science Vol. 12 No. 02 April13 Page 150-157 DOI: http://dx.doi.org/10.3329/bjms.v12i2.14943
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
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 ».