Low birth weight among tribal in India: Evidence from National Family Health Survey-4
Aim: The study aims to investigate the Low Birth Weight (LBW) of newborn infants among the tribal population in India. Methods and Materials: Study analyses 1,93,345 tribal children aged 0–5 years from the fourth round of the National Family Health Survey data (NFHS-4, 2015–16). Logistics regression...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | Clinical Epidemiology and Global Health |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221339842030230X |
| _version_ | 1798031288727240704 |
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| author | Nutan Kumari Kisan Algur Praveen Kailash Chokhandre Pradeep S. Salve |
| author_facet | Nutan Kumari Kisan Algur Praveen Kailash Chokhandre Pradeep S. Salve |
| author_sort | Nutan Kumari |
| collection | DOAJ |
| description | Aim: The study aims to investigate the Low Birth Weight (LBW) of newborn infants among the tribal population in India. Methods and Materials: Study analyses 1,93,345 tribal children aged 0–5 years from the fourth round of the National Family Health Survey data (NFHS-4, 2015–16). Logistics regression has been performed to investigate the correlates of low birth weight. Results: Results show that every fifth newborn child among tribal in 165 districts is LBW and total of 232 districts have proportionately higher LBW than the national average (18.2%). Newborns belonging to Scheduled Tribes in Madhya Pradesh (30 districts), Maharashtra (19 districts), Rajasthan (19 districts), Odisha (19 districts), Gujarat (16 districts), Bihar (12 districts), Karnataka (10 districts), West Bengal (9 districts) and Andhra Pradesh (5 districts) – have higher proportion of low birth weight than the national average. Univariate Global Moran's I index shows that 21% of districts have positive auto correlation for the prevalence of LBW among tribals. Mother's age at birth, mother's education, ANC visits and wealth index are important in determining the LBW of a newborn. Conclusion: The prevalence of LBW is higher among tribal population. Mother's education, wealth index, ANC visits, Mother's age at birth are key determinants that need to be addressed to reduce prevalence of LBW among the tribal population. The government needs to focus on marginalized communities with target based intervention and policies. |
| first_indexed | 2024-04-11T19:55:02Z |
| format | Article |
| id | doaj.art-9deb5b1cea6d4638bf972bcef572d105 |
| institution | Directory Open Access Journal |
| issn | 2213-3984 |
| language | English |
| last_indexed | 2024-04-11T19:55:02Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Clinical Epidemiology and Global Health |
| spelling | doaj.art-9deb5b1cea6d4638bf972bcef572d1052022-12-22T04:06:12ZengElsevierClinical Epidemiology and Global Health2213-39842021-01-019360366Low birth weight among tribal in India: Evidence from National Family Health Survey-4Nutan Kumari0Kisan Algur1Praveen Kailash Chokhandre2Pradeep S. Salve3Department of Fertility Studies, International Institute for Population Science, Deonar, Mumbai, 400088, IndiaInternational Institute for Population Sciences, Mumbai, 400 088, IndiaInternational Institute for Population Sciences, Govandi Station Road, Deonar, Mumbai, 400088, IndiaPopulation Research Centre, JSS Institute of Economic Research, Kausalya Building, Vidhyagiri, Dharwad, 580 004, Karnataka, India; Corresponding author.Aim: The study aims to investigate the Low Birth Weight (LBW) of newborn infants among the tribal population in India. Methods and Materials: Study analyses 1,93,345 tribal children aged 0–5 years from the fourth round of the National Family Health Survey data (NFHS-4, 2015–16). Logistics regression has been performed to investigate the correlates of low birth weight. Results: Results show that every fifth newborn child among tribal in 165 districts is LBW and total of 232 districts have proportionately higher LBW than the national average (18.2%). Newborns belonging to Scheduled Tribes in Madhya Pradesh (30 districts), Maharashtra (19 districts), Rajasthan (19 districts), Odisha (19 districts), Gujarat (16 districts), Bihar (12 districts), Karnataka (10 districts), West Bengal (9 districts) and Andhra Pradesh (5 districts) – have higher proportion of low birth weight than the national average. Univariate Global Moran's I index shows that 21% of districts have positive auto correlation for the prevalence of LBW among tribals. Mother's age at birth, mother's education, ANC visits and wealth index are important in determining the LBW of a newborn. Conclusion: The prevalence of LBW is higher among tribal population. Mother's education, wealth index, ANC visits, Mother's age at birth are key determinants that need to be addressed to reduce prevalence of LBW among the tribal population. The government needs to focus on marginalized communities with target based intervention and policies.http://www.sciencedirect.com/science/article/pii/S221339842030230XLow birth weightScheduled tribeNFHS-4India |
| spellingShingle | Nutan Kumari Kisan Algur Praveen Kailash Chokhandre Pradeep S. Salve Low birth weight among tribal in India: Evidence from National Family Health Survey-4 Clinical Epidemiology and Global Health Low birth weight Scheduled tribe NFHS-4 India |
| title | Low birth weight among tribal in India: Evidence from National Family Health Survey-4 |
| title_full | Low birth weight among tribal in India: Evidence from National Family Health Survey-4 |
| title_fullStr | Low birth weight among tribal in India: Evidence from National Family Health Survey-4 |
| title_full_unstemmed | Low birth weight among tribal in India: Evidence from National Family Health Survey-4 |
| title_short | Low birth weight among tribal in India: Evidence from National Family Health Survey-4 |
| title_sort | low birth weight among tribal in india evidence from national family health survey 4 |
| topic | Low birth weight Scheduled tribe NFHS-4 India |
| url | http://www.sciencedirect.com/science/article/pii/S221339842030230X |
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