School of Nutrition, Food Science and Technology, Hawassa University, Hawassa P.O. Box 05, Ethiopia.
Institute for Enhancing Health through Agriculture, IHA, Texas A&M University, College Station, TX 77843, USA.
Int J Environ Res Public Health. 2024 Sep 25;21(10):1269. doi: 10.3390/ijerph21101269.
Despite existing research on child undernutrition in the tropics, a comprehensive understanding of how weather patterns impact childhood growth remains limited. This study summarizes and estimates the effect of rainfall and temperature patterns on childhood linear growth among under-fives in the tropics. A total of 41 out of 829 studies were considered based on preset inclusion criteria. Standardized regression coefficients (β) were used to estimate effect sizes, which were subsequently pooled, and forest plots were generated to visually represent the effect size estimates along with their 95% confidence intervals. Of the total reports, 28 and 13 research articles were included in the narrative synthesis and meta-analysis, respectively. The studies establish that patterns in rainfall and temperature either increase or decrease childhood linear growth and the risk of stunting. An increase in every one standard deviation of rainfall results in a 0.049 standard deviation increase in linear growth (β = 0.049, 95% CI: 0.024 to 0.073). This positive association is likely mediated by various factors. In countries where agriculture is heavily dependent on rainfall, increased precipitation can lead to higher crop yields which could in turn result in improved food security. The improved food security positively impacts childhood nutrition and growth. However, the extent to which these benefits are realized can vary depending on moderating factors such as location and socio-economic status. Temperature pattern showed a negative correlation with linear growth, where each standard deviation increase resulted in a decrease in linear growth by 0.039 standard deviations, with specific impacts varying by regional climates (β = -0.039, 95% CI: -0.065 to -0.013). Additionally, our meta-analysis shows a small but positive relationship of childhood stunting with temperature pattern in western Africa (β = 0.064, 95% CI: 0.035, 0.093). This association is likely due to temperature patterns' indirect effects on food security and increased disease burden. Thus, the intricate interaction between weather patterns and childhood linear growth requires further research to distinguish the relationship considering other factors in the global tropics. While our findings provide valuable insights, they are primarily based on observational studies from sub-Saharan Africa and may not be generalizable to other tropical regions.
尽管热带地区已经有关于儿童营养不足的研究,但人们对天气模式如何影响儿童生长的全面理解仍然有限。本研究总结和估计了热带地区 5 岁以下儿童的降雨和温度模式对儿童线性生长的影响。根据预设的纳入标准,共考虑了 829 项研究中的 41 项。使用标准化回归系数(β)来估计效应大小,然后对其进行汇总,并生成森林图以直观地表示效应大小估计及其 95%置信区间。在总报告中,有 28 项和 13 项研究分别被纳入叙述性综述和荟萃分析。研究表明,降雨和温度模式要么增加要么减少儿童线性生长和发育迟缓的风险。降雨量每增加一个标准差,线性生长就会增加 0.049 个标准差(β=0.049,95%置信区间:0.024-0.073)。这种正相关可能是由各种因素介导的。在农业严重依赖降雨的国家,降雨量增加可能导致更高的作物产量,进而导致粮食安全状况的改善。改善的粮食安全对儿童营养和生长有积极影响。然而,这些好处的实现程度可能因位置和社会经济地位等调节因素而异。温度模式与线性生长呈负相关,每增加一个标准差,线性生长就会减少 0.039 个标准差,具体影响因区域气候而异(β=-0.039,95%置信区间:-0.065 至-0.013)。此外,我们的荟萃分析还显示,西非儿童发育迟缓与温度模式之间存在微小但正向的关系(β=0.064,95%置信区间:0.035-0.093)。这种关联可能是由于温度模式对粮食安全和疾病负担增加的间接影响。因此,天气模式和儿童线性生长之间的复杂相互作用需要进一步研究,以区分考虑全球热带地区其他因素的关系。虽然我们的研究结果提供了有价值的见解,但它们主要基于撒哈拉以南非洲的观察性研究,可能不适用于其他热带地区。