폭염으로 인한 일상 변화의 잠재계층과 인구사회학적 영향 요인

Abstract

This study aims to classify latent groups based on changes in daily life caused by heatwaves and to empirically examine the sociodemographic factors influencing these patterns. Utilizing data from a nationwide survey conducted during the record-breaking heatwave in the summer of 2018, a Latent Class Analysis (LCA) and multinomial logistic regression were performed. The findings are as follows. First, four distinct latent classes of daily life changes due to heatwaves were identified: the “Routine Maintenance” group, experiencing minimal changes; the “Behavioral and Consumption Change” group, characterized by higher probabilities of changes in outdoor activities and increased use of delivery services; the “Psychological and Physical Change” group, marked by heightened emotional fluctuations, sleep disturbances, stress, headaches, and exhaustion; and the “Comprehensive Change” group, which exhibited high probabilities of experiencing behavioral, consumption, psychological, and physical changes across all measures. Second, gender, age, marital status, household size, and income were identified as significant sociodemographic factors influencing class membership. This study contributes to understanding the diverse ways individuals experience heatwaves and the factors that shape these responses.