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. 2023 Aug 14;109(4):945–956. doi: 10.4269/ajtmh.23-0152

Table 2.

Effect of the FAARM intervention on morbidity outcomes among children 0 to 36 months old

Time period* Con. Int. OR (95% CI) P value
Diarrhea period prevalence, 7-day recall
 Overall 4.0% 3.8% 0.92 (0.71–1.19) 0.53
 Year 1 5.9% 5.4% 0.91 (0.68–1.23) 0.55
 Year 2 3.2% 3.2% 1.01 (0.72–1.41) 0.96
 Year 3 2.8% 2.6% 0.91 (0.63–1.32) 0.62
 Scale-down 3.7% 2.8% 0.72 (0.50–1.04) 0.08
 Postintervention 6.9% 9.0% 1.28 (0.77–2.10) 0.34
 Total no. of observations 32,460
 Total no. of children 3,276
Diarrhea point prevalence, 2-day recall
 Overall 1.7% 1.7% 1.03 (0.78–1.36) 0.82
 Year 1 2.2% 2.4% 1.08 (0.79–1.49) 0.63
 Year 2 1.4% 1.6% 1.12 (0.78–1.60) 0.53
 Year 3 1.2% 1.2% 1.01 (0.68–1.49) 0.96
 Scale-down 1.5% 1.3% 0.81 (0.55–1.20) 0.30
 Postintervention 3.3% 3.7% 1.09 (0.65–1.82) 0.76
 Total no. of observations 64,920
 Total no. of children 3,276
ARI period prevalence, 7-day recall
 Overall 3.3% 3.5% 1.18 (0.88–1.60) 0.27
 Year 1 2.5% 2.3% 1.09 (0.74–1.62) 0.66
 Year 2 1.7% 2.0% 1.36 (0.89–2.08) 0.15
 Year 3 4.1% 4.7% 1.26 (0.88–1.80) 0.21
 Scale-down 4.2% 4.6% 1.20 (0.83–1.74) 0.33
 Postintervention 11.7% 10.1% 0.93 (0.58–1.50) 0.78
 Total no. of observations 32,460
 Total no. of children 3,276

ARI = acute respiratory infection; CI = confidence interval; Con. = control; FAARM = Food and Agricultural Approaches to Reducing Malnutrition; Int. = intervention; OR = odds ratio.

*

The first year of the intervention was from September 2015 to August 2016; the second year, from September 2016 to August 2017; and the third year, from September 2017 to August 2018. The scale-down of the intervention was from September 2018 to September 2019, during which field activities were phased out and stopped by December 2018, and only a nutrition counseling refresher training was provided in May 2019. The postintervention end line survey was conducted from October 2019 to February 2020.

Values are raw percentages, and ORs and 95% CIs are calculated using mixed-effects logistic regression models with a random effect at the settlement level to account for clustering. An interaction term was used to calculate effects by year. Analyses are intention-to-treat.