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Title: Factors Associated with Malnutrition Among Pregnant Women and Lactating Mothers in AJK, Pakistan
Authors: Mehwish Fayaz, Muhammad Usman Tayyab Butt, Abdul Khaliq, Hira Abbasi, Nayla Haneef, Gull-e- Lalla
Journal: Pakistan Journal of Public Health (PJPH)
Publisher: Health Services Academy (HSA), Islamabad
Country: Pakistan
Year: 2024
Volume: 14
Issue: Special Issue
Language: English
DOI: 10.32413/pjph.v14iSpecial.ni.1283
Keywords: PakistanPregnancyUndernutritionMalnutritionLactation
Background: Malnutrition during pregnancy and lactation is a major public health issue in developing countries like Pakistan. This study aims to assess the prevalence and factors associated with malnutrition among pregnant women and lactating mothers in Azad Jammu and Kashmir (AJK), Pakistan.
Methodology: A cross-sectional study was conducted from January to December 2022 among 300 pregnant women and lactating mothers in the district Poonch of AJK. Data were collected through a semi-structured questionnaire. Anthropometric measurements, including height, weight, and mid-upper arm circumference (MUAC), were taken. BMI and MUAC were used to assess nutritional status.
Results: The prevalence of malnutrition was 39% according to BMI (<18.5 kg/m²) and 46% according to MUAC (<21 cm). Significant factors associated with malnutrition included illiteracy (AOR: 2.7, 95% CI: 1.4-5.2), low family income (AOR: 2.1, 95% CI: 1.2-3.8), rural residence (AOR: 3.2, 95% CI: 1.7-6.1), food insecurity (AOR: 4.6, 95% CI: 2.4-8.9), and lack of antenatal care (AOR: 2.3, 95% CI: 1.2-4.5).
Conclusion: Malnutrition is alarmingly high among pregnant and lactating women in AJK. Improving female literacy, socioeconomic status, and antenatal care coverage are recommended to address this public health issue.
To assess the prevalence and factors associated with malnutrition among pregnant women and lactating mothers in Azad Jammu and Kashmir (AJK), Pakistan.
A cross-sectional study was conducted from January to December 2022 in district Poonch of AJK, Pakistan. A sample of 300 pregnant women and lactating mothers was recruited using a multistage sampling technique. Data were collected through a semi-structured questionnaire and anthropometric measurements (height, weight, mid-upper arm circumference - MUAC). BMI and MUAC were used to assess nutritional status. Statistical analysis included descriptive statistics, bivariate analysis (Chi-square test), and multivariate logistic regression.
graph TD
A["Study Period: Jan-Dec 2022"] --> B["Location: District Poonch, AJK"];
B --> C["Sample: 300 pregnant/lactating women"];
C --> D["Data Collection: Questionnaire & Anthropometrics"];
D --> E["Nutritional Assessment: BMI & MUAC"];
E --> F["Statistical Analysis: Descriptive, Bivariate, Multivariate Regression"];
F --> G["Identify Associated Factors"];
G --> H["Conclusion & Recommendations"];
Malnutrition is highly prevalent among pregnant and lactating women in AJK, with rates higher than the national average. Socioeconomic disparities, including illiteracy, low income, and rural residence, are major determinants. Food insecurity emerged as the most significant factor. Lack of antenatal care also predicted malnutrition. MUAC was found to be a better predictor of malnutrition than BMI in this population.
The prevalence of malnutrition was 39% according to BMI (<18.5 kg/m²) and 46% according to MUAC (<21 cm). Significant factors independently associated with malnutrition included illiteracy (AOR: 2.7), low family income (AOR: 2.1), rural residence (AOR: 3.2), food insecurity (AOR: 4.6), and lack of antenatal care (AOR: 2.3).
Malnutrition is alarmingly common among pregnant and lactating women in AJK, Pakistan, driven by poverty, illiteracy, food insecurity, and lack of antenatal care. Improving female literacy, socioeconomic status, and antenatal care coverage are recommended.
- The study was conducted from January to December 2022. (Confirmed)
- The prevalence of malnutrition was 39% according to BMI and 46% according to MUAC. (Confirmed)
- Illiteracy was associated with malnutrition with an Adjusted Odds Ratio (AOR) of 2.7. (Confirmed)
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