Recommendations to scale up dietary diversity data at household and individual level in India. Issue 6 (November 2021)
- Record Type:
- Journal Article
- Title:
- Recommendations to scale up dietary diversity data at household and individual level in India. Issue 6 (November 2021)
- Main Title:
- Recommendations to scale up dietary diversity data at household and individual level in India
- Authors:
- Vijay, Jyoti
Kumar Patel, Kamalesh - Abstract:
- Abstract: Background and aims: An attempt to recommend scale up of dietary diversity data at household and individual level for improving the food and nutrition security, the study was conducted with the objective to explore the dietary diversity (DD) and its associated risk factors among reproductive age women in India. Methodology: A total of 5, 48, 806 women aged 15–49 years were asked how often they consume various types of food groups (daily, weekly, occasionally, or never). Association between adequate DD and its covariates such as individual and household were measured by using logistic regression. Results: Most of the population consumed dark green leafy vegetables, milk/curd and pulses/beans. Only 1.7% of women consumed diet with adequate diversity or five or more food groups. Women's educations, gestation status, wealth status, sex of household head, household size, religion, place of residence and land ownership were significantly associated with adequate DD. The percentages of population with adequate DD varies from 7% to <1% in different states of India which shows that good-quality-diet is a major issue in entire country. Conclusion: There is an urgent need of programs focused on availability of food with maximum diversity at minimum cost in order to reduce maternal and child mortality in India. To reduce geographic variation in achieving adequate DD, new approaches are required in developing multiple interventions to address major preventable causes of DD.Abstract: Background and aims: An attempt to recommend scale up of dietary diversity data at household and individual level for improving the food and nutrition security, the study was conducted with the objective to explore the dietary diversity (DD) and its associated risk factors among reproductive age women in India. Methodology: A total of 5, 48, 806 women aged 15–49 years were asked how often they consume various types of food groups (daily, weekly, occasionally, or never). Association between adequate DD and its covariates such as individual and household were measured by using logistic regression. Results: Most of the population consumed dark green leafy vegetables, milk/curd and pulses/beans. Only 1.7% of women consumed diet with adequate diversity or five or more food groups. Women's educations, gestation status, wealth status, sex of household head, household size, religion, place of residence and land ownership were significantly associated with adequate DD. The percentages of population with adequate DD varies from 7% to <1% in different states of India which shows that good-quality-diet is a major issue in entire country. Conclusion: There is an urgent need of programs focused on availability of food with maximum diversity at minimum cost in order to reduce maternal and child mortality in India. To reduce geographic variation in achieving adequate DD, new approaches are required in developing multiple interventions to address major preventable causes of DD. Individual state government should also take serious measure to improve the consumption of variety of food groups. Highlights: Only 1.7% of reproductive age women were consuming diet with adequate diversity (>4 food groups). Education of women and her socio-economic status were positively associated with dietary diversity. There is a need to generate sufficient dietary diversity data at individual and household level for better health outcomes. This is the first study which explored dietary diversity and its associated risk factors in India. … (more)
- Is Part Of:
- Diabetes & metabolic syndrome. Volume 15:Issue 6(2021)
- Journal:
- Diabetes & metabolic syndrome
- Issue:
- Volume 15:Issue 6(2021)
- Issue Display:
- Volume 15, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 15
- Issue:
- 6
- Issue Sort Value:
- 2021-0015-0006-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-11
- Subjects:
- Dietary diversity -- Women -- Food groups -- Risk factors -- India
Diabetes -- Periodicals
Metabolism -- Disorders -- Periodicals
Diabetes Mellitus -- Periodicals
Metabolic Diseases -- Periodicals
Diabète -- Périodiques
Métabolisme, Troubles du -- Périodiques
Endocrinologie -- Périodiques
Diabète -- Physiopathologie -- Périodiques
Diabetes
Metabolism -- Disorders
Electronic journals
Periodicals
616.462 - Journal URLs:
- http://www.clinicalkey.com.au/dura/browse/journalIssue/18714021 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/18714021 ↗
http://www.sciencedirect.com/science/journal/18714021 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.dsx.2021.102310 ↗
- Languages:
- English
- ISSNs:
- 1871-4021
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3579.600509
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 20083.xml