Application of the socio-ecological model to understand the drivers of excessive alcohol and salt consumption: a qualitative study in Ghana

运用社会生态模型理解过度饮酒和摄入盐分的驱动因素:一项在加纳开展的定性研究

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Abstract

OBJECTIVES: This study aims to identify the key factors driving excessive alcohol and salt consumption in Ghana, both of which are modifiable risk factors for diseases such as cardiovascular conditions and cancers. Using the socio-ecological model (SEM), we qualitatively examine stakeholder perspectives to gain a comprehensive understanding of the influences contributing to these unhealthy consumption patterns. DESIGN AND METHODS: A qualitative study was conducted using semi-structured interviews. Transcripts were analysed thematically, with identified drivers mapped onto the corresponding levels of influence within the SEM. PARTICIPANTS: The study included 21 purposively sampled stakeholders from government and academic institutions in Ghana, including policymakers, practitioners and researchers. RESULTS: Drivers of excessive salt and alcohol consumption were identified across all five levels of the SEM. At the intrapersonal level, disregard for health risks was a key factor. Community-level drivers included easy access to unhealthy foods and cultural norms promoting alcohol use at social events and salt in traditional dishes. At the societal and policy levels, inadequate regulation of the alcohol and food industries was found to reinforce lower-level drivers, further encouraging unhealthy consumption. CONCLUSIONS: This study highlights the multilevel influences on alcohol and salt consumption, emphasising the interactions across SEM levels. It highlights that addressing unhealthy consumption is not solely a matter of personal responsibility, demonstrating that societal and policy factors play a significant role in shaping health and dietary behaviours. The findings underscore the need for comprehensive public health strategies that address influences at multiple levels to effectively reduce excessive alcohol and salt intake.

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