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Background: Maternal undernutrition remains a critical public-health concern in India, with varying regional disparities. The Nashik region, a rapidly urbanizing district of Maharashtra, continues to report nutritional vulnerabilities among pregnant women.
Objective: To assess the dietary patterns, anthropometric indicators, and biochemical nutritional status of pregnant women in the Nashik region and identify determinants of poor maternal nutrition.
Methods: A community-based cross-sectional survey was conducted among 320 pregnant women, selected using multistage sampling. Data collection included a structured dietary questionnaire, 24-hour dietary recall, anthropometric measurements (weight, BMI, MUAC), and biochemical markers (hemoglobin, serum iron, ferritin, and calcium). Descriptive statistics, chi-square tests, and logistic regression were used.
Results: Almost half of the participants (47.5%) were underweight based on MUAC. Anemia prevalence was 62.1%, with 28.7% exhibiting moderate to severe anemia. Micronutrient deficiency was common: low serum iron (42.8%), low ferritin (37.2%), and hypocalcemia (23.1%). Dietary assessment revealed inadequate intake of green leafy vegetables (68%), fruits (72%), and protein-rich foods (54%). Low socioeconomic status and inadequate dietary diversity were significantly associated with anemia (p < 0.01).
Conclusion: Nutritional vulnerabilities remain widespread among pregnant women in Nashik, with high anemia and micronutrient deficiencies. Strengthening supplementation programs, improving dietary diversification, and targeted counseling are essential to improve maternal outcomes.
Keywords:
Keywords: pregnancy, nutrition, anemia, anthropometry, biochemical markers, Nashik, India
Cite Article:
"Nutritional Health Status of Pregnant Women in the Nashik Region: A Cross-Sectional Survey with Anthropometric and Biochemical Assessment", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a443-a448, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512055.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator