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Spatial Clustering of Malnutrition and Anemia Among Reproductive Women and Its Associated Risk Factors in India: Evidence From National Family Health Survey-5 (Record no. 131311)
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| 000 -LEADER | |
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| fixed length control field | 03052nam a2200145 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250307b |||||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Koustav Ghosh |
| 245 ## - TITLE STATEMENT | |
| Title | Spatial Clustering of Malnutrition and Anemia Among Reproductive Women and Its Associated Risk Factors in India: Evidence From National Family Health Survey-5 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | P. 3-11 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. biblio.abstract | Background: Malnutrition and anemia are 2 severe public health concerns, predominantly in low-and middle-income nations.<br/>Malnutrition is defined as poor nutritional condition that encompasses both under nutrition and over nutrition. The prevalence of<br/>overweight or obesity and anemia has increased in India from 2016 to 2021. The study aims to investigate the spatial clustering and<br/>factors responsible for underweight, overweight/obesity, and anemia among reproductive women (15-49 years) in India using the<br/>data from National Family and Health Survey-5 (2019-2021).<br/>Methods: We conducted hot-spot analysis using Moran’s Index (MI) with the help of spatial analysis software (i.e., GeoDa 1.18<br/>and ArcGIS 10.8). It also demonstrates the autocorrelation. Multivariable logistic regression analysis has been performed to<br/>examine different determinants and risk associated with underweight, overweight/obesity, and anemia with various dependent<br/>variable by using Stata-14 software.<br/>Results: Moran’s Index for underweight (MI ¼ 0.68), overweight/obesity (MI ¼ 0.72), and anemia (MI ¼ 0.62) indicates a high<br/>level of spatial-autocorrelation (P < .001) exists across the districts in India. As a result, a total of 156, 143, and 126 hot-spot<br/>districts are detected for underweight, overweight/obesity, and anemia, respectively. The burden of undernutrition and anemia is<br/>higher in rural areas. Risk of under nutrition and anemia are both reduced by media exposure and eating habits. Moreover, low<br/>income and low education level raises the risk of anemia and undernutrition, while obesity shows an inverse trend with income<br/>and education level.<br/>Conclusion: The study recommends targeting hot-spot districts for malnutrition and anemia, and policy level initiatives by<br/>addressing the responsible risk factors.<br/>Plain language title<br/>Spatial Clustering of Malnutrition and Anemia Among Women Across Districts in India<br/>Plain language summary<br/>Most of the low-income and middle-income countries are affected by the double burden of malnutrition. Malnutrition and anemia<br/>are 2 severe public health concerns, predominantly in low-and middle-income nations. However, the prevalence of undernutrition<br/>among women of reproductive age in India has decreased, while the prevalence of overweight or obesity and anemia has also<br/>increased in India from 2016 to 2021. The study aims to investigate the spatial clustering and factors responsible for nutritional |
| 654 ## - SUBJECT ADDED ENTRY--FACETED TOPICAL TERMS | |
| Subject | <a href="malnutrition">malnutrition</a> |
| -- | <a href="anemia">anemia</a> |
| -- | <a href=" prevalence"> prevalence</a> |
| -- | <a href=" spatial-autocorrelation"> spatial-autocorrelation</a> |
| -- | <a href="ArcGIS">ArcGIS</a> |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Atreyee Sinha Chakraborty |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 80309 |
| Host Itemnumber | 109752 |
| Place, publisher, and date of publication | Sage Publication |
| Title | Food & Nutrition Bulletin |
| International Standard Serial Number | 0379-5721 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Location (home branch) | Sublocation or collection (holding branch) | Date acquired | Koha issues (times borrowed) | Piece designation (barcode) | Koha date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | SNDT Juhu | SNDT Juhu | 07/03/2025 | JP184.1 | 07/03/2025 | 07/03/2025 | Journal Article |