首页|期刊导航|陆军军医大学学报|气候与女性结核发病率:中国六大气候区的异质性驱动与精准防控策略

气候与女性结核发病率:中国六大气候区的异质性驱动与精准防控策略OA

Climate and female tuberculosis incidence:heterogeneity drivers and precision control strategies in China's 6 major climate zones

中文摘要英文摘要

目的 中国结核病防控成效显著,发病率持续下降,但女性疾病负担依然沉重且地区异质性突出.气候因素对其发病的差异化影响及驱动机制尚不明确,尤其缺乏基于气候梯度的特异性证据.通过分析六大气候带中气候因素与大气污染物对女性结核病发病率的异质性效应及关键驱动路径,为构建性别敏感、气候适配的精准防控策略提供循证依据.方法 采用回顾性描述性研究设计,根据中国气候分区标准及典型气候特征选取6个代表性区域,分别对应六大气候带:干寒带、热湿带、暖湿带、温带大陆带、高寒带和温带季风带.样本代表性评估从3个维度进行:地理覆盖范围(涵盖中国北部、南部、东部、西部及中部)、气候一致性(与对应区域核心气候特征相符)以及人口流行病学代表性.收集2017-2024年6地新发女性结核病病例9 570例及同期气象和大气污染物官方监测数据;设置病例与气象污染2类测量指标,经缺失值填充、构建滞后1~3期变量等预处理形成面板数据集,以女性结核病发病数为因变量,采用逐步回归分析法,通过R²、VIF、F/t 检验评估模型性能.结果 六大气候带女性结核病患者的总体人口学与临床特征呈极显著异质性(P<0.001);女性结核病发病率随着年龄增加而升高,发病率在各地区呈现波动性下降趋势,且存在显著气候带差异,高寒地区发病率高,先降后增,从2017年155/100 000降低至2022年36/100 000,后增加至2024年91/100 000;各气候带回归模型均通过多重共线性检验(VIF<10)且具极显著统计学意义(均P<0.001),干寒带R²=0.452、热湿带R²=0.589、暖湿带R²=0.610、温带大陆带R²=0.626、高寒带R²=0.641、温带季风带R²=0.580,联合模型R²=0.584(F=71.548,P<0.001),所有区域均存在2~3期滞后效应,各气候带核心驱动因子具特异性,滞后1期PM10为女性结核病发病的核心正向驱动因子.结论 我国六大气候带的气候条件与大气污染物对女性结核病发病存在显著异质性影响,2~3期滞后效应与结核菌感染潜伏期基本吻合,发病区域差异与气候特点、人群行为模式及污染物暴露特征密切相关.对策 建议依托现行结核病防治技术指导体系,新增适配属地气候条件的预警细则与污染物滞后筛查窗口期标准;结合现有人群管控台账,按气候条件划定重点防控群体,落地分区域分层精细化管理;参照各区域核心污染驱动因素,调整基层筛查资源与宣教力量配比;打通现有气象、环境与结核病监测数据端口,搭建联动研判机制,实现分区域分时段精准预警与针对性干预.

Objective China has achieved remarkable progress in tuberculosis(TB)control,with the incidence rates declining continuously;however,the disease burden among females remained substantial with pronounced regional heterogeneity.The differential impacts of climatic factors on TB onset and their driving mechanisms remains poorly understood,particularly lacking zone-specific evidence based on climatic gradients.This study aims to analyze the heterogeneous effects of climatic factors and air pollutants on female TB incidence across 6 climatic zones and identify key driving pathways,thereby providing evidence-based support for developing gender-sensitive,climate-adapted precision prevention and control strategies.Methods A retrospective descriptive study design was adopted.Based on China's climate zoning standards and typical climate characteristics,6 representative regions were selected,corresponding to the 6 major climate zones:Cold-Dry Zone,Hot-Humid Zone,Warm-Humid Zone,Temperate Continental Zone,Alpine Zone,and Temperate Monsoon Zone.Sample representativeness was evaluated across 3 dimensions:geographic coverage(encompassing northern,southern,eastern,western,and central China),climate consistency(consistent with the core climate characteristics of the corresponding regions),and population epidemiological representativeness.A total of 9 570 female patients with newly diagnosed TB in 6 regions from 2017 to 2024,along with official meteorological and pollutant monitoring data during the same period,were collected.Two categories of measurement indicators were established for cases and meteorological pollution variables.After preprocessing such as imputation of missing values and construction of lagged 1 to 3 period variables,a panel data set was formed.With female TB case counts as the dependent variable,stepwise regression analysis was applied,and model performance was evaluated using R²,VIF,and F/t tests.Results The overall demographic and clinical characteristics of female TB patients exhibited highly significant heterogeneity across the 6 climatic zones(P<0.001).The TB incidence in the females increased with advancing age,showing a fluctuating downward trend across all regions with significant inter-zone differences.The alpine zone demonstrated high incidence rates,initially declining then rising,decreasing from 155/100 000 in 2017 to 36/100 000 in 2022,subsequently increasing to 91/100 000 in 2024.Regression models for all climatic zones passed multicollinearity tests(VIF<10)and demonstrated extremely significant statistical significance(P<0.001):R²=0.452 for the Cold-Dry Zone,R²=0.589 for the Hot-Humid Zone,R²=0.610 for the Warm-Humid Zone,R²=0.626 for the Temperate Continental Zone,R²=0.641 for the Alpine Zone,and R²=0.580 for the Temperate Monsoon Zone.The combined model yielded R²=0.584(F=71.548,P<0.001).Lag effects of 2 to 3 periods were present across all regions.Core driving factors were zone-specific,with lag 1 period PM10 identified as the core positive driver of female TB onset.Conclusion Climatic conditions and air pollutants exert significantly heterogeneous effects on female TB incidence across China's 6 climatic zones.The 2 to 3 period lag effects essentially align with the incubation period of Mycobacterium tuberculosis infection.Regional differences in the incidence are closely associated with climatic characteristics,population behavioral patterns,and pollutant exposure profiles.Countermeasures Building upon the existing technical guidance system for TB prevention and control,it is recommended to incorporate early warning rules tailored to local climatic conditions and pollutant lag-based screening window standards.Screening resources and health education efforts at the primary care level should be reallocated based on core pollutant drivers in each region.Data interfaces among meteorological,environmental,and TB surveillance systems should be integrated to establish linked assessment mechanisms,enabling zone-specific,time-specific precision early warning and targeted interventions.

王川;鞠丹;何国忠;刘骁汉;杨军;吴马丽;郑云丽;张秋梅;宋军;高碧华;龙凤

昆明医科大学公共卫生学院,云南昆明梅河口市结核病防治所,吉林梅河口昆明医科大学公共卫生学院,云南昆明天津中医药大学管理学院,天津内蒙古乌兰察布市疾病预防控制中心,内蒙古乌兰察布海口市人民医院核病门诊,海南海口海口市人民医院核病门诊,海南海口青海省玉树州人民医院内科中心,青海玉树山东省淄博市淄川区疾病预防控制中心,山东淄博北海市人民医院,广西北海北海市人民医院,广西北海

医药卫生

结核病女性气候带异质性精准预防

tuberculosisfemaleclimatic zonesheterogeneityprecision prevention

《陆军军医大学学报》 2026 (8)

1110-1118,9

国家自然科学基金地区科学基金项目(72264021) Supported by the Regional Science Fund Program of National Natural Science Foundation of China(72264021).

10.16016/j.2097-0927.202602054

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