Department of Biostatistics, National Institute of Mental Health and Neuro Sciences, Bangalore, India.
Department of Epidemiology, National Institute of Mental Health and Neuro Sciences, Bangalore, India.
Public Health. 2022 Jan;202:18-25. doi: 10.1016/j.puhe.2021.10.010. Epub 2021 Dec 4.
Studies that examined the growth during late childhood and early adolescence beyond 8 years of age are very limited. Further, most studies have used dichotomized classification of stunting, thereby limiting the understanding of moderate stunting in childhood growth trajectory. We aimed to examine the course of stunting from childhood to adolescence by undertaking robust analyses of the Young Lives Survey (YLS) longitudinal data from India using multilevel categorization of stunting.
Retrospective cohort analysis was undertaken from YLS in India among 1827 children from the younger cohort born in 2001-02 with complete follow-up data in all five rounds of YLS collected in 2002, 2006, 2009, 2013, and 2016.
A three-state multistate Markov model (not stunted, moderate, severe) was performed to estimate annual transition probabilities, mean sojourn-time, and transition-specific risk factors.
Between Round-one and Round-five, cross-sectional prevalence of severe stunting decreased from 10.4% (95% confidence interval [CI]: 7.8%, 13.7%) to 5.3% (95% CI: 3.8%, 7.3%), while moderate stunting increased from 19.9% (95% CI: 16.3%,23.9%) to 21.7% (95% CI: 18.4%, 24.9%). Mean Sojourn time estimation indicated a relatively concise state for moderate stunting. The stunting trajectory had shown gender differential where more faltering to severe stunting and lower recovery to the normal state was observed among girls between 8 and 12 years and among boys between 12 and 15 years. Compared with boys, girls had 40% excess likelihood (Hazard Ratio: 1.40; 95% CI 1.00 to 1.95) for moderate-to-severe stunting transition and also had 19% excess likelihood (Hazard Ratio: 1.19; 95% CI 1.01 to 1.40) of favorable transition (moderate-to-non-stunted).
The transition trajectory highlights preadolescence, especially among girls, as an additional window of opportunity to ensure better nutrition in adolescent life. With a fifth of adolescents living in India, study findings call for coordinated, multisectoral, age-appropriate, and gender-responsive approach to take India closer to meeting SDG-2.
超过 8 岁的儿童晚期和青春期生长的研究非常有限。此外,大多数研究都使用生长迟缓的二分法分类,从而限制了对儿童生长轨迹中中度生长迟缓的理解。我们旨在通过对印度 Young Lives 调查(YLS)纵向数据进行稳健分析,使用生长迟缓的多层次分类来研究从儿童到青春期的生长过程。
在印度 Young Lives 调查中,对 2001-02 年出生的年轻队列中的 1827 名儿童进行了回顾性队列分析,这些儿童在所有五轮 Young Lives 调查中都有完整的随访数据,这些数据分别于 2002 年、2006 年、2009 年、2013 年和 2016 年收集。
使用三状态多状态马尔可夫模型(未发育迟缓、中度、重度)来估计年度转移概率、平均逗留时间和转移特定风险因素。
在第一轮和第五轮之间,严重发育迟缓的横断面患病率从 10.4%(95%置信区间[CI]:7.8%,13.7%)降至 5.3%(95% CI:3.8%,7.3%),而中度发育迟缓从 19.9%(95% CI:16.3%,23.9%)增至 21.7%(95% CI:18.4%,24.9%)。平均逗留时间估计表明中度发育迟缓的状态相对简洁。发育迟缓轨迹显示出性别差异,8 至 12 岁女孩和 12 至 15 岁男孩之间向严重发育迟缓转变的比例较高,向正常状态恢复的比例较低。与男孩相比,女孩发生中度至重度发育迟缓转变的可能性高出 40%(风险比:1.40;95% CI 1.00 至 1.95),而发生有利转变(中度至非发育迟缓)的可能性高出 19%(风险比:1.19;95% CI 1.01 至 1.40)。
该转移轨迹强调青春期前,特别是女孩,作为确保青春期更好营养的另一个机会窗口。印度有五分之一的青少年生活在这种状态下,研究结果呼吁采取协调一致、多部门、适合年龄和性别响应的方法,使印度更接近实现可持续发展目标 2。