个人特质是影响人体热耐力的核心因素:基于健康生态学模型的多因素交互作用分析OA
Personal traits as the core determinant of human heat tolerance:a multi-factorial interaction analysis based on the health ecological model
目的 鉴于全球气候变暖导致人体高温暴露事件频发,本研究运用健康生态学模型,从个人特质、行为特征、环境适应行为与人际网络等多维度系统探究热耐力的影响因素及其交互作用路径与机制,以应对高温环境下的热损伤风险.方法 2024年8月21日至9月13日通过问卷星和微信平台对重庆市2 596名高校师生进行横断面调查,依据调查数据将热耐力划分为低、中、强3个等级,并运用χ2检验、多项Logistic回归和结构方程模型,分析人口学特征和健康生态学各维度因素对热耐力的组间差异、独立影响及路径关系.结果 热耐力与社会人口学特征(性别、年龄、热浪经历)、个人特质、行为特征、环境适应行为(淋浴次数、外出戴帽)及人际网络(关注天气、中暑时及时求助)均存在组间差异(P<0.05).其中女性达到中等热耐力[OR=0.496(95%CI:0.390~0.631)]和强热耐力[OR=0.250(95%CI:0.178~0.349)]的概率显著低于男性(P<0.001);并且16~18岁[OR=3.778(95%CI:2.028~7.039)]和19~21岁[OR=1.913(95%CI:1.021~3.586)]的群体比≥26岁的群体更有可能达到强热耐力(P<0.05),而未经历热浪者达到强热耐力的概率显著降低[OR=0.475(95%CI:0.257~0.878),P<0.05].结构方程模型进一步揭示这些因素的多路径交互作用.男性的热耐力优势不仅体现在生理上的直接效应(标准化路径系数为0.261),更通过提升个人特质间接发挥作用(标准化路径系数为0.185).尽管年龄增长对热耐力有直接的负向影响(标准化路径系数为-0.067),但其对个人特质的提升(标准化路径系数为0.038)却能间接抵消这一不利效应.个人特质是影响热耐力的核心因素,其标准化路径系数高达0.696,远超其他因素,并作为关键的中介变量调节性别、年龄及行为特征对热耐力的整体影响.此外,尽管行为特征对热耐力的直接作用不显著(P=0.871),但其通过强化个人特质产生了显著的间接效应(标准化路径系数为0.304),而环境适应行为则呈现出负向影响(标准化路径系数为-0.143),表明过度依赖环境适应可能抑制热耐力的发挥.结论 热耐力受多因素综合影响,其中个人特质是核心因素,对热耐力具有显著的直接与间接作用.提升个人特质是增强热耐力、降低热损伤风险的关键策略.
Objective With the increasing frequency of human heat exposure events driven by global climate warming,this study employed the health ecological model to systematically investigate the influencing factors of heat tolerance and their interaction pathways and mechanisms across multiple dimensions including personal traits,behavioral characteristics,environmental adaptation behaviors,and interpersonal networks,aiming to address the risk of heat injury in high-temperature environments.Methods A cross-sectional survey was conducted on 2 596 university faculty and students in Chongqing from August 21 to September 13,2024,via the Wenjuanxing and WeChat platforms.Based on the survey data,heat tolerance was classified into 3 levels(low,moderate,strong).Chi-square test,multinomial logistic regression,and structural equation modeling were applied to analyze group differences,independent effects,and path relationships of demographic characteristics and factors at each level of the health ecological model on heat tolerance.Results Heat tolerance exhibited group differences with sociodemographic characteristics(sex,age,heatwave experience),personal traits,behavioral characteristics,environmental adaptation behaviors(shower frequency,wearing hats outdoors),and interpersonal networks(weather monitoring,timely seeking help for heatstroke)(P<0.05).Specifically,females demonstrated significantly lower probabilities of achieving moderate heat tolerance(OR=0.496,95%CI:0.390 to 0.631)and strong heat tolerance(OR=0.250,95%CI:0.178 to 0.349)compared to males(P<0.001).The participants aged 16 to 18 years(OR=3.778,95%CI:2.028 to 7.039)and 19 to 21 years(OR=1.913,95%CI:1.021 to 3.586)were more likely to attain strong heat tolerance than those aged≥26 years(P<0.05),and those without heatwave experience showed significantly reduced probability of achieving strong heat tolerance(OR=0.475,95%CI:0.257 to 0.878,P<0.05).Structural equation modeling further revealed the multipath interactions among these factors.The male advantage in heat tolerance was manifested not only through direct physiological effects(standardized path coefficient=0.261)but also indirectly via enhancement of personal traits(standardized path coefficient=0.185).Although increasing age exerted a direct negative effect on heat tolerance(standardized path coefficient=-0.067),its promotion of personal traits(standardized path coefficient=0.038)indirectly offset this adverse effect.Personal traits emerged as the core determinant of heat tolerance,with a standardized path coefficient as high as 0.696,substantially exceeding all other factors,and serving as a critical mediating variable regulating the overall effects of sex,age,and behavioral characteristics on heat tolerance.Furthermore,although behavioral characteristics showed no significant direct effect on heat tolerance(P=0.871),they generated significant indirect effects through strengthening personal traits(standardized path coefficient=0.304),whereas environmental adaptation behaviors demonstrated a negative impact(standardized path coefficient=-0.143),suggesting that over-reliance on environmental adaptation may suppress the expression of heat tolerance.Conclusion Heat tolerance is influenced by multiple integrated factors,among which personal traits constitute the core determinant exerting significant direct and indirect effects on heat tolerance.Enhancing personal traits represents the key strategy for improving heat tolerance and reducing the risk of heat injury.
周彦;马翠;魏调霞;罗勇军;罗万春
陆军军医大学(第三军医大学)基础医学院数学教研室,重庆陆军军医大学(第三军医大学)基础医学院数学教研室,重庆陆军军医大学(第三军医大学)基础医学院数学教研室,重庆陆军军医大学(第三军医大学)陆军卫勤基地军事医学地理学教研室,极端环境医学教育部重点实验室,重庆陆军军医大学(第三军医大学)基础医学院数学教研室,重庆
医药卫生
热耐力健康生态学模型行为特征个人特质
heat tolerancehealth ecological modelbehavioral characteristicspersonal traits
《陆军军医大学学报》 2026 (9)
1250-1261,12
国家自然科学基金面上项目(42377466) Supported by the General Program of National Natural Science Foundation of China(42377466).
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