2017年-世界发展银行全球_Child_Undernutrition_in_Pakistan___What_Do_We_Know__52页_1mb

Summary of "Child Undernutrition in Pakistan: What Do We Know?"

Core Content

This working paper presents a narrative review of the available empirical and qualitative literature on child undernutrition in Pakistan, aiming to provide evidence-based insights for public policy and program design. The paper focuses on understanding the current state of child undernutrition, its spatial and temporal variations, the factors influencing it, and the effects of interventions.

Main Questions Addressed

The study explores the following key questions:

• What do household diets look like?
• How do undernutrition rates vary spatially?
• How have undernutrition rates evolved over time?
• What are the average levels of factors associated with undernutrition?
• What individual, mother, household, and community factors are linked to undernutrition?
• What are the effects of potentially relevant interventions on undernutrition?

Key Findings

1. National Undernutrition Rates

• The stunting rate for children under five in Pakistan is 45%, ranking worse than 124 out of 132 countries.
• The underweight rate is 30%, and the wasting rate is 11%.
• These rates are significantly off track from the 2025 World Health Assembly targets.

2. Spatial Variation

• Urban vs. Rural: Stunting rates are higher in rural areas (48%) than in urban areas (37%). Underweight rates are also higher in rural areas (33%) than in urban areas (24%). Wasting rates are similar in both urban (10%) and rural (11%) areas.
• Provinces: Undernutrition rates vary significantly across provinces. Balochistan has the highest stunting rate at 52%, while Punjab has the lowest at 39%. Wasting rates are generally lower in the 2012-13 DHS than in the 2011 NNS, with differences ranging from 4-5 percentage points.
• Districts in Punjab and Sindh:
  • In Punjab, stunting rates range from 18% to 51%, wasting from 11% to 23%, and underweight from 19% to 49%.
  • In Sindh, stunting rates range from 24% to 67%, wasting from 7% to 33%, and underweight from 26% to 69%.

3. Food Consumption

• Caloric Intake: Average caloric consumption per adult equivalent is 2,033 calories, which is 13% below the recommended level of 2,350 calories. The poorest households consume 1,570 calories (23% below the recommended level), while the richest consume 2,501 calories.
• Diet Composition: Cereals are the main source of calories, accounting for 60% of the caloric intake in the poorest households. The diet is not sufficiently diverse, with most calories coming from cereals and fewer from dairy, meat, and fruits.
• Food Insecurity: There is a negative association between household food insecurity and child undernutrition indicators (stunting, underweight, wasting).
• Price Sensitivity: Household demand for most foods is price-inelastic, but the impact of food price increases on consumption varies by location and economic status. Poorer households are more sensitive to food price changes.

4. Determinants of Undernutrition

• Maternal Factors: Maternal education, mental health, and nutrition status are linked to child undernutrition.
• Household Factors: Economic status, access to land, and food security are important determinants.
• Community and Environmental Factors: Sanitation, handwashing, and access to clean water influence child nutrition.
• Health and Infection: Child infections, such as diarrhea, are associated with undernutrition.

5. Interventions

• The paper emphasizes the need for more research on the effects of interventions such as Lady Health Workers, cash transfers, and nutrition counseling on child undernutrition.

Limitations and Considerations

• The literature on child undernutrition in Pakistan is limited, with many studies focusing on specific regions or factors.
• There is a high rate of missing data in anthropometry measurements, which may lead to bias in undernutrition estimates.
• The 2012-13 DHS and 2011 NNS show discrepancies, potentially due to data collection issues.
• Further research is needed to understand the direction of potential bias, the effects of food price changes, and the impact of specific interventions on child nutrition.

Conclusion

The paper concludes that while there is a substantial body of evidence on child undernutrition in Pakistan, the data quality and availability remain a challenge. It highlights the need for more comprehensive and representative data collection and targeted interventions to improve child nutrition outcomes, especially in rural and underdeveloped regions. The findings also suggest that policy design should consider spatial variations and the specific determinants of undernutrition in different regions and socio-economic groups.

Key Statistics

Recommendations

• Conduct more rigorous and representative data collection to improve the accuracy of undernutrition statistics.
• Investigate the effects of interventions on child nutrition, particularly in rural and poor areas.
• Focus policy efforts on regions with the highest undernutrition rates, such as Balochistan and KPK.
• Address determinants of undernutrition, including maternal health, sanitation, and food security, through targeted programs.