Prevalence and Predictors of Food Insecurity among Adolescents in Households in the Volta and Oti Regions of Ghana: A Cross-Sectional Study

Background

Food insecurity poses a threat to adolescent nutrition and health, especially in low- and middle-income countries (LMICs), with potential lifelong consequences. This study assessed the prevalence and drivers of adolescent food insecurity in Ghana’s Volta and Oti regions.

Objectives

To assess the prevalence and predictors of food insecurity among adolescents in the Volta and Oti regions of Ghana.

Methods

Results

Approximately 47.5% of the surveyed adolescents reported experiencing periods of inadequate food intake during the 12 months preceding the survey. Among adolescents experiencing food scarcity, the periods from January to March (32.2%) and April to June (28.8%) were identified as the peak times of limited food availability. In total, 61% of adolescents in the Volta and Oti regions experienced food insecurity, with 23.5% classified as severely food insecure, 47.7% worried about not having enough food, and 54% could not access preferred foods due to limited resources. Approximately 50.1% consumed a monotonous diet and 44.1% consumed foods they perceived as socially unacceptable. Urban residence (aOR = 0.67; CI=0.46-0.97), higher maternal education (aOR=0.41; CI=0.22-0.78), and higher wealth (aOR=0.02; CI=0.0-0.09) were associated with reduced odds of food insecurity.

Conclusion

There was a high prevalence of adolescent food insecurity in the Volta and Oti regions of Ghana. This has profound implications for adolescent nutrition, health, and overall well-being. Peak periods of food scarcity align with the broader seasonal food scarcity patterns and lean seasons in Ghana. The high rates of food insecurity directly impede the goal of achieving SDG 2 and 3. Key predictors include urban-rural differences, maternal education, and wealth. Urgent action is needed to address these factors and ensure consistent access to nutritious food.

Strengths and limitations of this study

• We used the widely accepted Household Food Insecurity Access Scale (HFIAS), a standardized and comprehensive tool for assessment of food insecurity.

• We employed multistage systematic sampling, enhancing representativeness and generalizability within the Volta and Oti regions.

• A cross-sectional design limits the ability to establish causal relationships.

• Potential self-reporting bias may affect data accuracy due to socially desirable or inaccurate responses.

• Findings may not be generalisable beyond the studied regions because of socioeconomic and cultural differences.