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The adverse health impacts of early infant stunting can be partially ameliorated by early catch‐up growth. Few studies have examined predictors of and barriers to catch‐up growth to identify intervention points for improving linear growth during infancy. This study aimed to estimate the prevalence of, and factors associated with, catch‐up growth among infants in Pakistan. A longitudinal study of mother–infant dyads ( n = 1,161) was conducted in rural Sindh province, with enrolment between December 2015 and February 2016 (infants aged 0.5–3 months), and follow‐up ( n = 1035) between November 2016 and January 2017 (infants aged 9–15 months). The outcome was catch‐up growth (change in conditional length‐for‐age z‐scores >0.67 between baseline and endline). Associated factors were examined using multivariable logistic regression analyses. The prevalence of stunting was 45.3% at baseline and 60.7% at follow‐up. 22.8% of infants exhibited catch‐up growth over this period. Factors positively associated with catch‐up growth included maternal height (odds ratio (OR) = 1.08 [1.05–1.11]), household wealth (OR = 3.61 [1.90–6.84]), maternal (OR = 2.43 [1.30–4.56]) or paternal (OR = 1.46 [1.05–2.03]) education, and households with two or more adult females (OR = 1.91 [1.26–2.88]). Factors negatively associated with catch‐up growth were two (OR = 0.64 [0.45–0.89]) or three or more (OR = 0.44 [0.29–0.66]) preschool children in the household and the infant being currently breastfed (OR = 0.59 [0.41–0.88]). Catch‐up growth was exhibited among approximately a quarter of infants despite living in challenging environments associated with extremely high rates of early infant stunting. Several modifiable factors were identified that might represent suitable programme intervention points to off‐set early infant stunting in rural Pakistan.

BackgroundStunted growth in early infancy is a public health problem in low-and-middle income countries. Evidence suggests heavy agricultural work during pregnancy is inversely associated with maternal body mass index (BMI) and infant birth weight in low- and middle-income countries; but pathways linking agricultural work to length-for-age Z-scores (LAZ) in early infancy have not been examined. This study aimed to investigate the relationship between agricultural work during pregnancy, post-natal maternal BMI and LAZ among young infants in rural Pakistan; and explored whether maternal BMI mediated the relationship between agricultural work and infant LAZ.MethodsA cross-sectional survey was conducted from December 2015 to January 2016 in rural Sindh, Pakistan. Mother-infant dyads were recruited via systematic random cluster sampling at 2–12 weeks’ post-partum (n = 1161). Anthropometric measurements (maternal and infant height/length and weight) and questionnaire data were collected. Multivariable linear regression and structural-equation based mediation analyses were used to examine associations of agricultural work during pregnancy with maternal BMI and infant LAZ.ResultsDuring pregnancy, women reported engaging in livestock-related work (57.0%), crop-related work (42.7%), and cotton harvesting (28.4%). All three forms of agricultural work were negatively associated with maternal BMI (β = − 0.67 [− 1.06; − 0.28], β = − 0.97 [− 1.51; − 0.48]; and β = − 0.87 [− 1.33; − 0.45], respectively). Maternal engagement in cotton harvesting alone was negatively associated with infant LAZ after controlling for confounding factors. The total negative effect of cotton harvesting on infant LAZ was − 0.35 [− 0.53; − 0.16]. The indirect effect of maternal BMI on infant LAZ was − 0.06 [− 0.08; − 0.03], revealing that 16% (− 0.06/− 0.35) of the relationship between cotton harvesting and infant LAZ, after adjustment, was mediated via maternal BMI.ConclusionThese results underscore a need to reduce labour-intensive agricultural workload demands during pregnancy, especially in cotton harvesting, to reduce risks of negative maternal energy balance and poor growth outcomes in early infancy.

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Objectives. To evaluate the impact of a community health worker–based “in-home growth monitoring with counseling” (IHGMC) intervention on anthropometric outcomes in Pakistan, where 38% of children younger than 5 years are stunted. Methods. We used an individual, single-blind, step-wedge randomized controlled trial and a pure control group recruited at endline. We based the analysis on an intention-to-treat estimation using the coarsened exact matching (CEM) method for sample selection among treatments and the control. We conducted the baseline in July 2019 and completed endline in September–October 2021. We recruited 1639 households (treated: 1188; control: 451) with children aged 3 to 21 months who were residing in an urban informal settlement area. The CEM sample used for analysis numbered 1046 (treated: 636; control: 410). The intervention continued for 6 months. Results. Compared with the control group, the height-for-age z-score in the IHGMC group increased by 0.58 SD (95% confidence interval [CI] = 0.33, 0.83; P = .001) and the weight-for-age z-score by 0.43 SD (95% CI = 0.20, 0.67; P < .01), measured at endline. Conclusions. IHGMC substantially improved child anthropometric outcomes in disadvantaged localities, and this impact persisted during the COVID-19 pandemic. Trial Registration. AER-RCT registry (AEARCTR-0003248). (Am J Public Health. 2023;113(1):105–114. https://doi.org/10.2105/AJPH.2022.307111 )