Zhang Qian, Wan Nai-Jun
Department of Pediatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, People's Republic of China.
J Multidiscip Healthc. 2024 Dec 16;17:5967-5979. doi: 10.2147/JMDH.S497405. eCollection 2024.
To assess seasonal variations in infant colic (IC) prevalence and explore the association between climate factors, including temperature, air pollutants, and their interactions, with IC.
Medical records of 1955 infants aged 0-3 months from October 2021 to September 2022 were analyzed, with IC diagnosed according to Rome IV criteria. Seasonal differences in IC prevalence were compared using chi-square tests. Climate data, including weekly averages of temperature, PM2.5, PM10, NO2, CO, O3, and AQI, along with 1-, 2-, and 4-week lags, were collected via web scraping. Interaction terms between temperature and pollutants (including lagged variables) were created. Variance Inflation Factors (VIF) addressed multicollinearity. Pearson correlation assessed linear relationships, while Generalized Additive Models (GAM) evaluated non-linear associations.
The overall IC prevalence was 38.62%. Demographic analysis showed no significant differences between infants with and without IC. Seasonal analysis revealed significant differences, with the highest IC prevalence in winter. After Bonferroni correction, spring (34.52%) and winter (43.60%) differed significantly (p < 0.0083). Linear correlation analysis indicated weak associations between temperature, pollutants, and their interactions with IC (correlation coefficients: -0.05 to 0.03). GAM confirmed these findings, with individual climate factors explaining only 0.002 of the deviance and their interactions explaining 0.007. No meaningful relationship between climate factors and IC prevalence was identified.
This study identified significant seasonal differences in IC prevalence, with the highest rates observed in winter. However, no significant linear or non-linear associations were found between IC and temperature, air pollutants, or their interactions. These findings underscore the need for future research to explore non-climatic factors.
评估婴儿腹绞痛（IC）患病率的季节性变化，并探讨气候因素（包括温度、空气污染物及其相互作用）与IC之间的关联。
分析了2021年10月至2022年9月期间1955名0至3个月大婴儿的病历，根据罗马IV标准诊断IC。使用卡方检验比较IC患病率的季节差异。通过网络爬虫收集气候数据，包括温度、PM2.5、PM10、NO2、CO、O3和AQI的每周平均值，以及1周、2周和4周的滞后数据。创建温度与污染物之间的交互项（包括滞后变量）。方差膨胀因子（VIF）解决多重共线性问题。Pearson相关性评估线性关系，而广义相加模型（GAM）评估非线性关联。
IC的总体患病率为38.62%。人口统计学分析显示，患有和未患有IC的婴儿之间没有显著差异。季节分析显示存在显著差异，冬季IC患病率最高。经过Bonferroni校正后，春季（34.52%）和冬季（43.60%）存在显著差异（p < 0.0083）。线性相关分析表明，温度、污染物及其与IC的相互作用之间存在弱关联（相关系数：-0.05至0.03）。GAM证实了这些发现，单个气候因素仅解释了0.002的偏差，它们的相互作用解释了0.007。未发现气候因素与IC患病率之间存在有意义的关系。
本研究发现IC患病率存在显著的季节性差异，冬季患病率最高。然而，未发现IC与温度、空气污染物或它们的相互作用之间存在显著的线性或非线性关联。这些发现强调了未来研究探索非气候因素的必要性。
