Abstract：Objective To investigate the status of heat illness, knowledge awareness and adaptive behaviors of heat wave knowledge among food delivery riders, so as to provide a basis for optimizing heat wave response measures for food delivery riders. Methods In November 2022, food delivery riders from a large food delivery platform in Ningbo City, Zhejiang Province were selected as survey subjects using a cluster sampling method. A self-designed electronic questionnaire was used to select demographic information, work status, lifestyle behaviors and disease history, heat illness status, knowledge awareness and adaptive behaviors of heatwave. Results A total of 911 questionnaires were distributed, and 830 valid questionnaires were recovered, resulting in a valid response rate of 91.11%. Among the respondents, 796 (95.90%) were male, and 818 (98.55%) worked full-time. The mean age was (27.75±8.00) years. A total of 470 respondents (56.63%) had a work tenure of less than 1 year. The primary working hours were 8-<12 hours, with 504 people accounting for 60.72%. There were 108 cases of heatstroke, with an occurrence rate of 13.01%. And 286 people reported heat-related symptoms, with an occurrence rate of 34.46%. The overall awareness rate of heat wave knowledge was 73.22%, while the awareness rate of heat warning signal classification was relatively low at 9.04%. The heat wave cognition score was (5.86±1.31) points. There were statistically significant differences in heat wave cognition scores among food delivery riders of different ages, educational levels, family annual income, work tenures, and work durations (all P<0.05). Regarding positive adaptive behaviors, the number of riders paying attention to weather forecasts and actively learning about preventive measures was higher (734 people each, accounting for 88.43%). Regarding negative adaptive behaviors, the number of riders who often drank ice-cold beverages was higher (509 people, accounting for 61.33%). The heat wave adaptive behavior score was (6.88±1.77) points. There were statistically significant differences in adaptive behavior scores among riders with different educational levels, family annual income, work tenures, and smoking frequency (all P<0.05). Conclusions The occurrence rates of heatstroke and heat-related symptoms among food delivery riders are relatively high. The knowledge awareness and adaptive behaviors regarding heat wave are at a moderate level. It is suggested to strengthen health education, reinforce risk cognition of heat wave, and promote positive adaptive behaviors among food delivery riders.
裘一丹, 谷少华, 王爱红, 陆蓓蓓, 史碧君, 王永, 张丹丹. 外卖骑手高温热浪知识知晓和行为适应调查[J]. 预防医学, 2026, 38(1): 93-97.
QIU Yidan, GU Shaohua, WANG Aihong, LU Beibei, SHI Bijun, WANG Yong, ZHANG Dandan. Knowledge and adaptive behavior of food delivery riders during high temperature and heat wave. Preventive Medicine, 2026, 38(1): 93-97.
[1] NING X J,LI Y Z,GAO G H,et al.Temporal and spatial characteristics of high temperatures,heat waves,and population distribution risk in China from 1951 to 2019[J].Environ Sci Pollut Res,2023,30(42):96629-96646. [2] XIE Y,ZHOU Z Q,SUN Q H,et al.Social-economic transitions and vulnerability to extreme temperature events from 1960 to 2020 in Chinese cities[J/OL].iScience,2024,27(3)[2025-12-10].https://doi.org/10.1016/j.isci.2024.109066. [3] KIARSI M,AMIRESMAILI M,MAHMOODI M R,et al.Heat waves and adaptation:a global systematic review[J/OL].J Therm Biol,2023,116[2025-12-10].https://doi.org/10.1016/j.jtherbio.2023.103588. [4] 中国报告大厅. 2025年中国外卖产业白皮书[EB/OL].[2025-12-10].https://m.chinabgao.com/info/1283707.html. [5] YOU X,ZHANG Y K,LIU Y T,et al.Impacts of high temperature and heat waves on health outcomes of three disease types in China:a systematic review[J/OL].Curr Pollut Rep,2025,11(1)[2025-12-10].https://doi.org/10.1007/s40726-025-00383-5. [6] SINGH N,AREAL A T,BREITNER S,et al.Heat and cardiovascular mortality:an epidemiological perspective[J].Circ Res,2024,134(9):1098-1112. [7] 王爱红,李晓海,边国林,等.2014年高温热浪期间宁波市居民风险认知及适应性调查[J].环境与健康杂志,2017,34(1):57-60. [8] JIANG L F,WANG J Q,CASTAÑO-ROSA R,et al.Heat exposure and coping strategies for food delivery riders under urban heat extremes[J/OL].Energy Build,2024,322[2025-12-10].https://doi.org/10.1016/j.enbuild.2024.114693. [9] TUSTIN A W,LAMSON G E,JACKLITSCH B L,et al.Evaluation of occupational exposure limits for heat stress in outdoor workers—United States,2011-2016[J].MMWR Morb Mortal Wkly Rep,2018,67(26):733-737. [10] Environmental Protection Agency.Climate change and the health of people with chronic medical conditions[EB/OL].[2025-12-10].https://www.epa.gov/climateimpacts/climate-change-and-health-people-chronic-medical-conditions. [11] Centers for Disease and Prevention.Heat and chronic conditions[EB/OL].[2025-12-10].https://www.cdc.gov/heat-health/risk-factors/heat-and-chronic-conditions.html. [12] HARPER K M,KNAPP D J,CRISWELL H E,et al.Vasopressin and alcohol:a multifaceted relationship[J].Psychopharmacology,2018,235(12):3363-3379. [13] COUGHLIN S S,VERNON M,HATZIGEORGIOU C,et al.Health literacy,social determinants of health,and disease prevention and control[J].J Environ Health Sci,2020,6(1):1-4 [14] STORMACQ C,VAN DEN BROUCKE S,WOSINSKI J.Does health literacy mediate the relationship between socioeconomic status and health disparities?Integrative review[J].Health Promot Int,2019,34(5):1-17. [15] MOORE D C,NOTLEY S R,AISBETT B,et al.The cumulative effects of consecutive days of prolonged,physical work or activity on heat strain and physical performance:a systematic review[J].Appl Physiol Nutr Metab,2025,50:1-14. [16] NOLTE J,HANOCH Y.Adult age differences in risk perception and risk taking[J/OL].Curr Opin Psychol,2024,55[2025-12-10].https://doi.org/10.1016/j.copsyc.2023.101746. [17] GIBB K,BECKMAN S,VERGARA X P,et al.Extreme heat and occupational health risks[J].Annu Rev Public Health,2024,45:315-335.
