Investigating the contextual drivers and factors impacting child growth failure in mining communities: A Structural Equation Modeling approach

IF 3.9 3区医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Public Health Pub Date : 2025-06-10 DOI:10.1016/j.puhe.2025.105801

Herbert Tato Nyirenda, David Mulenga, Hilda Nyambe-Silavwe

{"title":"Investigating the contextual drivers and factors impacting child growth failure in mining communities: A Structural Equation Modeling approach","authors":"Herbert Tato Nyirenda, David Mulenga, Hilda Nyambe-Silavwe","doi":"10.1016/j.puhe.2025.105801","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To investigate contextual drivers impacting child growth-failure.</div></div><div><h3>Study design</h3><div>Employed a cross-sectional study design.</div></div><div><h3>Methods</h3><div>The study Comprised a random sample of 781 under-five children and their caregivers. Structured interviews were conducted with caregivers, and anthropometric measurements were taken from the children. Bivariate chi-square, Structural Equation Modeling and multivariate logistic regression analyses were performed.</div></div><div><h3>Results</h3><div>Over half (51 %) of the children were female. On average, households consisted of 6.1 ± 2.7 SD persons. Primary caregivers had an average age of 24.2 ± 9.4 while the children's average age was 21.3 ± 15.7 SD months. The average height of children was 80.4 ± 13.7 SD with a height-for-age Z-Score of 0.2 ± 4.9 SD. Further, 35 % of children experience child growth failure. Drivers include; age-caregiver [AOR = 1.04, 95 % CI = 1.028–1.056], high-school education [AOR = 0.24, 95 % CI = 0.089–0.677], unemployment-housewife [AOR = 0.45, 95 % CI = 0.226–0.901], feeding-strategies [AOR = 0.39, 95 % CI = 0.226–0.663] and cooking-duration [AOR = 2.16, 95 % CI = 1.131–4.129].</div></div><div><h3>Conclusion</h3><div>Child growth failure remains a concern, with individual and contextual-level factors identified as significant contributors and thus crucial to take them into account when designing nutrition interventions in vulnerable communities.</div></div>","PeriodicalId":49651,"journal":{"name":"Public Health","volume":"245 ","pages":"Article 105801"},"PeriodicalIF":3.9000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0033350625002471","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}

引用次数: 0

Abstract

Objective

To investigate contextual drivers impacting child growth-failure.

Study design

Employed a cross-sectional study design.

Methods

The study Comprised a random sample of 781 under-five children and their caregivers. Structured interviews were conducted with caregivers, and anthropometric measurements were taken from the children. Bivariate chi-square, Structural Equation Modeling and multivariate logistic regression analyses were performed.

Results

Over half (51 %) of the children were female. On average, households consisted of 6.1 ± 2.7 SD persons. Primary caregivers had an average age of 24.2 ± 9.4 while the children's average age was 21.3 ± 15.7 SD months. The average height of children was 80.4 ± 13.7 SD with a height-for-age Z-Score of 0.2 ± 4.9 SD. Further, 35 % of children experience child growth failure. Drivers include; age-caregiver [AOR = 1.04, 95 % CI = 1.028–1.056], high-school education [AOR = 0.24, 95 % CI = 0.089–0.677], unemployment-housewife [AOR = 0.45, 95 % CI = 0.226–0.901], feeding-strategies [AOR = 0.39, 95 % CI = 0.226–0.663] and cooking-duration [AOR = 2.16, 95 % CI = 1.131–4.129].

Conclusion

Child growth failure remains a concern, with individual and contextual-level factors identified as significant contributors and thus crucial to take them into account when designing nutrition interventions in vulnerable communities.

查看原文本刊更多论文

研究影响采矿社区儿童成长失败的背景驱动因素：结构方程建模方法

目的探讨影响儿童生长衰竭的环境因素。研究设计采用横断面研究设计。方法随机抽样调查781名5岁以下儿童及其照顾者。与护理人员进行了结构化访谈，并对儿童进行了人体测量。采用双变量卡方、结构方程模型和多变量logistic回归分析。结果半数以上（51%）患儿为女性。每户平均有6.1±2.7名特别残疾人士。主要照顾者的平均年龄为24.2±9.4个月，儿童的平均年龄为21.3±15.7个月。儿童平均身高为80.4±13.7 SD，年龄-身高Z-Score为0.2±4.9 SD。此外，35%的儿童经历过儿童成长失败。驱动程序包括:年龄照顾者[AOR = 1.04, 95% CI = 1.028 ~ 1.056]、高中学历[AOR = 0.24, 95% CI = 0.089 ~ 0.677]、失业家庭主妇[AOR = 0.45, 95% CI = 0.226 ~ 0.901]、喂养策略[AOR = 0.39, 95% CI = 0.226 ~ 0.663]和烹饪时间[AOR = 2.16, 95% CI = 1.131 ~ 4.129]。结论儿童生长衰竭仍然是一个值得关注的问题，个体和环境层面的因素被认为是重要的影响因素，因此在设计脆弱社区的营养干预措施时，将它们考虑进去至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Public Health 医学-公共卫生、环境卫生与职业卫生

CiteScore

7.60

自引率

0.00%

发文量

280

审稿时长

37 days

期刊介绍： Public Health is an international, multidisciplinary peer-reviewed journal. It publishes original papers, reviews and short reports on all aspects of the science, philosophy, and practice of public health.