Assessment of Climate Change-Related Heat Exposure and Its Impact on Occupational Health Among Outdoor Workers in Lagos State
Background
Climate change has intensified the frequency and severity of heat-related events globally, with significant implications for occupational health. In Nigeria, outdoor workers such as construction laborers, traffic officers, street vendors, and agricultural workers are increasingly exposed to prolonged periods of extreme heat. Heat exposure can contribute to dehydration, heat stress, reduced productivity, cardiovascular strain, and other adverse health outcomes. Despite growing concerns about climate-related health risks, limited empirical evidence exists regarding occupational heat exposure among vulnerable worker populations in Nigeria. Understanding the magnitude of heat-related health challenges and associated risk factors is essential for developing workplace adaptation strategies and public health policies. This study seeks to assess the impact of climate change-related heat exposure on occupational health among outdoor workers in Lagos State.
Research Objectives
- Assess the level of occupational heat exposure among outdoor workers.
- Determine the prevalence of heat-related health symptoms.
- Examine factors associated with increased heat-related health risks.
- Evaluate awareness and adoption of heat adaptation measures.
- Identify predictors of heat-related occupational health outcomes.
Research Questions
- What is the level of heat exposure among outdoor workers?
- What heat-related health symptoms are commonly reported?
- Which factors increase vulnerability to heat-related illnesses?
- What adaptation measures are used by workers?
- What factors predict adverse heat-related health outcomes?
Suggested Methodology
A cross-sectional analytical study will be conducted among outdoor workers selected through multistage sampling. Data will be collected using structured questionnaires, workplace observations, and heat exposure assessments. Descriptive statistics, chi-square tests, and logistic regression analyses will be employed to identify predictors of adverse health outcomes. Statistical significance will be set at p < 0.05.
Suggested Sample
Keywords
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