India has 57 million (more than a third) of the world’s 146 million undernourished children(1). In the 1990s, an effort was made to list malnutrition as an independent factor leading to child death. Later, malnutrition was found to be associated with 50 % of child deaths in developing nations(2,Reference Pelletier, Frongillo and Schroeder3) . As a nation carrying over a third of the world’s malnourished children, implementing control measures against malnutrition is thus essential.
Identifying and treating severe acute malnutrition (SAM) begins with accurate diagnosis, and SAM is diagnosed on the basis of the following criteria: a weight-for-height Z-score (WHZ) of < −3SD, a mid-upper arm circumference (MUAC) of < 115 mm and presence of bilateral oedema in children aged 6–59 months(4). Children with SAM often present with a medical condition or intercurrent illness, defined as complicated SAM, and require hospitalisation and treatment. However, in children with uncomplicated SAM, treatment may be through home-based management using ready-to-use therapeutic food (RUTF), which is associated with a better outcome than standard inpatient therapy(Reference Ashworth5,Reference Ciliberto, Sandige and Ndekha6) . Control and prevention of this condition also involves investigating the factors influencing a child’s progression to malnutrition and determining their recovery, with recovery being defined as the attainment of a WHZ of ≥ −2SD and having no oedema for 2 weeks(7).
Studies have found that a child’s birth weight, family income and maternal breast-feeding can be positively and maternal unemployment can be negatively associated with nutritional recovery(Reference Goulart, França Júnior and Souza8). Furthermore, parents’ higher education; exclusive breast-feeding for 6 months; proper weaning; immunisation; higher socio-economic status; environmental conditions such as proper housing, tap water supply and houses with latrines; lower birth order and small family size contribute to an improvement in the nutritional status of children(Reference Bhavsar and Kulkarni9). However, such associations are yet to be studied in the Indian context, where differences might exist due to differing presentations of SAM across regions, such as a lower prevalence of oedema (< 1 %) in Indian(Reference Alka, Geetanjali and Sonia10) children with SAM than in their African counterparts(Reference Jose Luis, Nicky and Lauren11). Developing local data is essential to inform national policies on the need and means to control this situation and improve the nutritional status of children. Thus, the current study examines the potential role of socio-demographic, maternal, child-related and environmental factors as predictors of recovery among Indian children with uncomplicated SAM.
Methodology
The current study involves a secondary analysis of data from a previously conducted multicentre randomised control trial in India(Reference Bhandari, Mohan and Bose12). The trial was conducted at three sites across India, namely urban slums and resettlement colonies in Delhi, rural (predominantly tribal) Rajasthan and rural and urban Tamil Nadu. The sites were located in areas where the SAM prevalence was reported to be above the national average of 6·4 %(Reference Burza, Mahajan and Marino13). In this randomised control trial, children aged 6–59 months with uncomplicated SAM were enrolled to assess the efficacy of three feeding regimens: commercially produced ready-to-use therapeutic food sourced from Compact India (RUTF-C); locally prepared RUTF (RUTF-L) made according to uniform specifications in production units at the three study sites and augmented home-prepared foods (A-HPF) for which raw ingredients were provided at 1·5 times the amounts required for the child in question. Study children were provided the intervention for 16 weeks or until recovery (treatment phase), whichever was earlier. The primary study objective was to evaluate the impact of the three feeding regimens. The composition of the feeding regimens and the details of their efficacy on the nutritional status on children with SAM have been described previously(Reference Bhandari, Mohan and Bose12).
Two comparisons were made in the study: between RUTF-C and A-HPF and between RUTF-L and A-HPF; A-HPF was the comparison group. A 17–23 % difference in recovery between RUTF and a standard diet was reported by non-randomised studies conducted in Africa(Reference Ciliberto, Sandige and Ndekha14–Reference Ndekha, Manary and Ashorn16). Therefore, a 15 % difference in recovery between the A-HPF (65 % recovery) and RUTF groups (80 % recovery) was hypothesised. With 90 % power and α = 0·025, a sample size of 231 children in each group was thus calculated. To account for the loss to follow-up, the sample size was increased by 10 %, resulting in a final sample size estimate of 765. Considering lower recovery rates, to preserve the power to test the a priori hypothesis of 15 % difference between the intervention and comparison groups, the Data Safety Monitoring Bureau proposed an increase in the sample size to at least 900 children(Reference Bhandari, Mohan and Bose12).
Children aged 6–59 months were identified through a door-to-door survey of the defined study population. The selection criterion was a WHZ of < −3 SD. Only children with a MUAC of ≤ 130 mm(Reference Laillou, Prak and de Groot17) were brought to the study clinic for the assessment of their WHZ using WHO Anthro software. A physician evaluated the children and classified them as those with complicated or uncomplicated SAM based on the WHZ of < −3SD, irrespective of the MUAC value. Children who were severely malnourished and had medical complications according to the WHO guidelines(18), such as a Hb level of < 6 g/dl, allergy to milk, unable to consume the test feed (failed appetite test) and clinical features of infection, were referred for hospital admission and treatment. Those who did not present with any of the listed symptoms of complicated SAM and passed an appetite test were enrolled after obtaining informed consent from the parents. The children were then classified into two strata on the basis of age: stratum 1 (6–17 months) and stratum 2 (18–59 months) and randomised to one of the three aforementioned intervention groups.
A total of 106 935 children between 6 and 59 months were identified at the three sites. Of these, 6815 (6·4 %) children who had a MUAC of < 130 mm were referred to the study clinic, and of the 5103 (74·9 %) children who came to the study clinic, 1190 (23 %) had SAM (WHZ < –3). Children having a medical complication were referred to a hospital (n 292) and were revisited approximately after a month to ascertain the resolution of complications. In total, 98 of the children referred to the hospital were enrolled after they recovered from the illness and were available at home.
Nine hundred and six children with uncomplicated SAM were enrolled in the study after excluding those who presented with complications, whose family was planning to move out of the study area during the study period, that is, within 4 months, failed to consent or had a sibling enrolled (if there were two children in a family with SAM, only the one with a more severe form of SAM was enrolled). Data pertaining to the demographic profile, family details, breast-feeding practices and complementary feeding practices were collected using structured questionnaires for interviewing primary caregivers. A trained anthropometry team recorded anthropometric measurements at enrolment.
During the treatment phase, a trained anthropometry team, blinded to the treatment allocation of the child, took weekly anthropometric measurements as well as collected morbidity details regarding diarrhoea, fever, acute lower respiratory infections (ALRI) and hospitalisation, if any. WHO Anthro software was used to determine the child’s nutritional status as SD for WHZ, weight-for-age Z-score (WAZ) and height-for-age Z-score (HAZ) according to the WHO standards. After completion of the treatment phase, the study team facilitated linkages between the families and government-run Anganwadi centres, where supplementary food is provided under the Integrated Child Development Services scheme. This was performed over the next 16 weeks (sustenance phase), and the child was then censored from the study.
Outcome measurement
Children were classified as recovered if they had a WHZ of ≥ −2SD and no oedema for two consecutive weeks and not recovered if they had a WHZ of < −2SD and/or oedema(7). Treatment with the feeding regimen ceased after recovery or at week 16 after recruitment. Children who did not recover were evaluated by the physician for any underlying illness, and the study team facilitated linkages between the families of these children and the local Anganwadi centres.
Description of variables
The variables collected were child-related predictors, parental and family-related predictors and nutritional and anthropometric predictors.
Gender, birth weight, birth order, age of the child at enrolment and number of episodes of diarrhoea, ALRI and hospitalisations during the treatment phase were considered under child-related predictors of recovery.
Under parental and family-related predictors of recovery, mother’s age, education and occupation; mother’s BMI (based on WHO classification), father’s education and occupation, residence ownership (owned or rental), family structure (nuclear (pair of adults living with their children) or joint family (more than one pair of adults living with their children)), family size, number of living children, additional family support (additional caregiver such as aunt or grandparents apart from the mother) and peer support (workers who visited the children’s home several times a day to help caregivers feed their children with the allocated intervention food) were included.
Nutritional and anthropometric predictors of recovery included breast-feeding up to 6 months, a feeding regimen used for home-based treatment, weight gain in gram per kilogram of body weight and anthropometric parameters (WHZ, WAZ, HAZ and MUAC).
Definitions
Diarrhoea: Three or more watery stools in a 24-h period. An episode is considered new if the individual’s bowel movements are normal in the 48 h prior to symptom presentation(Reference Richard, Barrett and Guerrant19).
Acute lower respiratory infection: The presence of cough or breathing difficulties and either fast breathing or lower chest indrawing. Two episodes are separated by a symptom-free interval of 15 d(Reference Richard, Barrett and Guerrant19).
Fever: The presence of an axillary temperature of more than 37·5 °C(Reference Richard, Barrett and Guerrant19).
Hospitalisation: If the child was admitted to a hospital for reasons other than the consequences of malnutrition during the treatment phase.
Improved water and toilet source: According to the WHO/UNICEF Joint Monitoring Programme for water supply and sanitation, a sanitation facility is classified as suitable/improved if it consists of a flush toilet, a piped sewer system, a septic tank, a flush/pour flush to pit latrine, a ventilated improved pit latrine, a pit latrine with a slab or a composting toilet. Similarly, a household’s water source is considered as improved, if the source is a public tap, tube well or borehole, water piped into the dwelling or yard, a protected dug well, a protected spring or rainwater(20).
Breast-feeding: This was classified as exclusive breast-feeding (breast-feeding present, no solids and no liquids), predominant breast-feeding (breast-feeding present, clear liquids (water, fruit juice), no solids and no animal milk or formula feed) and partial breast-feeding (breast-feeding with solids, animal milk and/or formula feed) on the basis of breast-feeding habits during the child’s first 6 months(Reference Patil, Ambikapath and Turab21).
Statistical methods
Quantitative statistical analysis was performed using IBM SPSS version 20.00 software. Continuous variables were expressed in terms of mean (sd) or median (inter-quartile range (IQR)). Categorical variables were expressed as frequencies and percentages. Bivariate analysis was performed using the χ 2 test for dichotomous variables to know the association between dependent and predictor variables. The mean difference in WHZ between male and female children was assessed using Student’s unpaired t test. Based on the conceptual model, all variables were included to identify independent predictors of recovery. A multivariate COX proportional model was used to measure the hazard ratio and adjusted hazard ratio (AHR). Variables with a hazard ratio of more than 1, with a P value of < 0·05, signified predictor variables.
Results
The present study recruited a total of 906 children across all the three sites, of which 855 (94·4 %) children completed the treatment phase (Table 1). The children were from both rural and urban areas. At the end of the treatment phase or during the treatment phase, 420 (46·4 %) children recovered from SAM, having attained a WHZ of ≥ –2SD. Among the recovered children, time (median) to recover was 5 (IQR 3–9) weeks. At enrolment, the mean age of recovered children was 24·27 (sd 13·8) months, whereas that of not-recovered children was 26·37 (sd 13·9) months. None of the children had bilateral pitting oedema. Based on their age, children were stratified into two groups, namely 6–17 months and 18–59 months, and randomisation was performed separately for both groups. However, further analysis for identifying the predictors of recovery from SAM was not performed on the basis of stratification.
Table 1 Demographic and anthropometric characteristics of study children and parents at the time of recruitment
IQR, inter-quartile range; AHPF, augmented home prepared food; RUTF-C, centrally produced ready-to-use therapeutic food; RUTF-L, locally prepared ready-to-use therapeutic food.
In the current study, recovery was observed 1·27 times more among the female children, and this association was statistically significant (P = 0·036) even after adjusting for all other variables in the model (Table 2). At enrolment, the mean WHZ among the male and female children was –3·42 and –3·33, respectively. The mean difference between the WHZ for the male and female children was –0·087 (P = 0·002). Other birth-related factors, such as birth order, and age at enrolment exhibited no association with recovery among the children (P = 0·819 and P = 0·248, respectively).
Table 2 Predictors of recovery among children with severe acute malnutrition (SAM) in the age group of 6–59 months*,†
* All variables are dichotomised variables except weight-for-height Z-score at the time on enrolment; crude hazard ratio (95 % CI) calculated using bivariate Cox-proportional hazard model.
† All variables in Table 2 were included in the regression analysis. Adjusted Hazard Ratio and corresponding P value were calculated using multivariate Cox-proportional hazard model; ALRI, acute lower respiratory infection; IQR, inter-quartile range.
‡ Significant P value.
§ During treatment phase.
|| At the time of enrolment.
No fever (AHR: 2·748 (2·161, 3·494)), ≤ 2 episodes of diarrhoea (AHR: 1·579 (1·035, 2·412)), and no hospitalisation (AHR: 1·778 (1·055, 2·997)) during the treatment phase had a significant association with recovery. Fewer episodes (≤ 1) of ALRI had no significant association with recovery.
Parental factors such as parents’ education, mother’s occupation, BMI and age were not identified as significant predictors of recovery from SAM. However, father’s occupation (AHR: 1·53 (1·197, 1·955)) was significantly associated with recovery even after adjusting for other variables in the model (Table 2). Interestingly, the residential status of the children’s parents was significantly associated with recovery among the children. Children staying in a rental house exhibited a positive association (AHR: 1·485 (1·137, 1·94)) with recovery. Nuclear family status (up to 4 people) also showed no association with recovery.
Among the study children, no statistically significant association was observed between additional family support and recovery (P = 0·106). Community-based feeding/caregiver support (peer support) was found to be a significant predictor of recovery (AHR: 1·61 (1·237, 2·097)) in the current study. Usage of improved water for consumption or improved sanitation showed no association with recovery. Similarly, no significant association was observed between exclusive/predominant breast-feeding and recovery among the children.
Of the various anthropometric measurements included in the study, WHZ at enrolment was significantly associated with recovery from SAM. Higher WHZ at enrolment increased the chances of recovery, which was statistically significant (AHR: 1·811 (1·297, 2·529)).
Discussion
Although there are various ongoing programmes for improving the nutritional status of children, SAM remains a global burden in many low- and middle-income countries such as India(Reference Desyibelew, Fekadu and Woldie22). However, little information is available on the predictors of recovery from uncomplicated SAM. In the current study, we examined numerous factors that may have a role in predicting the recovery of children from uncomplicated SAM. The present study was conducted in urban and rural populations of India and identified a few major factors that could predict the recovery of children with uncomplicated SAM. The predictors included being a female child, higher WHZ at the time of initiation of intervention, fewer/no episodes of diarrhoea or fever, no hospitalisation during the treatment phase, availability of peer support for the mothers during the intervention, living in a rental house, and employed father.
However, many factors already reported to act as predictors (such as age and educational status of parents) were found to have no association with prediction of recovery from SAM in the present study. A study conducted in Southern Ethiopia reported that age and breast-feeding were not significant predictors of recovery from SAM(Reference Desyibelew, Fekadu and Woldie22). Similar to studies conducted in Kenya(Reference Talbert, Thuo and Karisa23) and India(Reference Taneja, Dixit and Khatri24), the present study showed that age at enrolment was not a significant predictor of recovery. Exclusive or predominant breast-feeding too was not found to be a significant predictor. In the present study, 35 % of the children were exclusively breastfed for 6 months. However, a cohort study conducted in urban Vellore, India, reported that only 22 % of children were exclusively breastfed for 4 months and only 1 % of children were exclusively breastfed for 6 months(Reference Reddy, Sindhu and Ramanujam25). This is in line with the findings of other studies conducted in several developing countries that have failed to find any significant association between exclusive breast-feeding and stunting, wasting, and children being underweight(Reference Brown, Creed-Kanashiro and Dewey26–Reference Khan and Islam28).
In a study conducted in Bangladesh, the chance of recovery was higher among male children(Reference Ahmed, Ahmed and Uddin29), which contradicts our study findings. However, our results are consistent with those of a study conducted in a North-West Ethiopia, where recovery was higher among female children(Reference Desyibelew, Fekadu and Woldie22). A reason for these differences could be a significantly lower WHZ for male children than for female children at study enrolment.
Epidemiological studies have shown that diarrhoea affects the physical growth of a child(Reference Patwari30). For instance, through a meta-analysis, Khalil et al. reported that diarrhoea due to Cryptosporidium infection affects childhood health by decreasing the growth rate(Reference Khalil, Troeger and Rao31). Our study results are consistent with these results as those who had fewer episodes (≤ 2) of diarrhoea during the treatment phase had a higher chance of recovery. The aforementioned finding is also in accordance with that of a case–control study conducted in Ghana, which reported that in 6 months, malnourished children had > 2 episodes of diarrhoea than children who were not malnourished(Reference Tette, Sifah and Nartey32).
The present study showed that hospital admission for other morbidities can adversely affect the nutritional status of children(Reference Allard, Keller and Jeejeebhoy33). Very few studies have assessed whether hospital admission affects nutritional recovery from SAM. This could be because most studies enrolled children who were already admitted to the hospital. The study conducted by Desyibelew et al. reported a direct relationship between prolonged hospital stays and nutritional recovery(Reference Desyibelew, Fekadu and Woldie22). A similar relationship was observed in the present study, with no hospitalisation due to other morbidities during the treatment phase being identified as a significant predictor of recovery from SAM.
According to a study conducted in rural Karnataka, India, preschool children who had recurrent cough and cold were independently associated with malnutrition(Reference Nayak, Unnikrishnan and George34). This is not consistent with our study results, which showed neither the presence nor the absence of ALRI during the treatment phase being associated with recovery. The absence of fever during the treatment phase showed a significantly positive association with recovery in our study, which contradicts the results of a study conducted in Ethiopia where fever was not associated with recovery from SAM(Reference Gebremichael35).
Community-based educational support (peer support) to mothers can increase the motivation to follow any health practice. Studies have shown that educational support to the caregiver of the children can improve the nutritional status of the children(Reference Bhandari, Mohan and Bose12,Reference Dearden, Hilton and Bentley36,Reference Vazir, Engle and Balakrishna37) . Here, peer support during the treatment phase showed a positive association, even after adjusting for other variables in the model.
A study conducted in rural Ethiopia among malnourished children showed that drinking water from an improved water source and using improved sanitation are predictors of recovery from malnutrition(Reference James, Sadler and Wondafrash38). In our study, both improved water and improved sanitation were not found to act as predictors of recovery from SAM.
Among the various socio-economic factors, parents’ education is considered one of the most crucial factors that can predict malnutrition. Various studies have demonstrated that parents’ literacy improves the nutritional status of children(Reference Khattak, Iqbal and Ghazanfar39,Reference Kunwar and Pillai40) . On the contrary, our study showed that neither the mother’s (above 8th grade) nor the father’s (above 10th grade) education was associated with recovery of their children. Another factor of interest is the employment status of the children’s parents. Mothers’ gainful (monetary) employment (i.e. when mothers could spend more time with the children) was not a good predictor of recovery. However, fathers’ gainful employment (i.e. when fathers were financially stable enough to provide food) was found to be a good predictor of recovery in the current study. A study conducted in rural Ethiopia showed lower chances of recovery among children with mothers having a heavy work index(Reference Kunwar and Pillai40), which is more self-explanatory when compared with our study findings. Surprisingly, living in a rental house is a predictor of recovery. A possible explanation could be that families felt the need to work sufficiently so as to produce/earn enough to pay rent. Therefore, their cash flow may not be limited, and hence may not impact the food provided.
Limitations
A major limitation of our study was the unavailability of a few data parameters. Studies have shown that birth weight is directly associated with recovery from SAM. Unfortunately, we could not investigate this association due to incomplete data (approximately 50 %) on birth weight. Vaccination coverage was also not studied for the same reason. Because the analysis emerged from a randomised control trial conducted under a controlled setting, the findings may not be generalisable. Moreover, the current study did not investigate the predictors of recurrence of malnutrition in later stages of childhood because long-term follow-up of the study children was not conducted.
Conclusion
For children with SAM, having fewer episodes of diarrhoea, no hospitalisation for other morbidities during the treatment phase, better WHZ at the time of initiation of treatment, along with a better employment status of the father and availability of peer support could provide higher chances of recovery. Notably, the improved chances of recovery for children having higher WHZ emphasises the need for the early identification of children with SAM and provision of appropriate nutritional interventions before any further deterioration in their scores. Furthermore, the identified predictive factors could help researchers and even policymakers to develop a follow-up protocol for the community management of children with SAM.
Acknowledgements
Acknowledgements: The authors would like to thank all the study participants and field staff for their time and involvement with the study. Financial support: The trial was funded by the Bill & Melinda Gates Foundation (Grant number OPP1033634). Conflict of interest: None Authorship: All authors contributed substantially to the design and undertaking of the study, its analyses and writing of the manuscript. S.B.M., A.B., S.D.I., J.M., N.B. and R.B. designed the study. N.B. and S.T. coordinated the study with technical support from R.B. and J.M. The following were responsible for the day-to-day implementation: S.B.M., S.M. and H.S.S. (Delhi); A.B., P.N.R., R.A.P. and V.R.M. (Vellore) and S.D.I. and V.S. (Udaipur). S.M.D. did the data analyses and wrote the manuscript with P.N.R. and R.C. P.N.R. affirms that the manuscript is an honest, accurate and transparent account of the study and that no important aspects of the study have been omitted. Ethics of human subject participation: Ethical approval obtained from Society for Applied Studies, New Delhi; Christian Medical College, Vellore; Action Research and Training for Health, Udaipur and the WHO Ethics Review Committee. The current study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving research study participants were approved by the Society for Applied Studies, New Delhi; Christian Medical College, Vellore; Action Research and Training for Health, Udaipur and the WHO Ethics Review Committee. Written informed consent was obtained from all subjects.
Collaborators: Other members of the Study Group. SAS: Nita Bhandari, Sowmya Prakash, Rimpi Kaushik, Gunjan Aggarwal, Rajkumari Suchitra, Priti Sharma. CMC: Kuryan George, Jasmine Helan Prasad, Venkatesan Sankarapandian. ARTH: Kirti Iyengar, Anandilal Sharma, Anjana Verma, Ashutosh Sharma, Trupti Patel, Priya Krishnan, Satyanarayan Panchal, Hitesh Rawal. Coordination Unit: Kiran Bhatia, Girish Chand Pant, Medha Shekhar.
