KARTU ANTRI ANTRIAN DOSIS 2 Epidemiology and Society Health Review| ESHR Vol. 4, No. 1, 2021, pp. 1-11 ISSN 2656-6052 (online) | 2656-1107 (print) 10.26555/eshr.v4i1.4641 1 Research Article A Community-Based Study of Milk Adulteration and Childhood Malnutrition in Bangalore Rural District, India Amita Mukhopadhyay1, Ipsita Debata2*, Ravikiran P Kamate2, Nagendra Nagaiah3, Priyanka Rodrigues4 1 Associate Professor, Department of Community Medicine, Dr. Chandramma Dayananda Sagar Institute of Medical Sciences and Research (CDSIMER), Harohalli, Ramanagara District, Karnataka, India 562112 2 Assistant Professor, Department of Community Medicine, Dr. Chandramma Dayananda Sagar Institute of Medical Sciences and Research (CDSIMER), Harohalli, Ramanagara District, Karnataka, India 562112 3 MBBS student, Akash Institute of Medical Sciences and Research Centre, Prasannahalli Main Road, near Kempegowda International Airport, Devanahalli, Bengaluru, Karnataka, India 562110 4 Statistician (Former), Department of Community Medicine, Dr. Chandramma Dayananda Sagar Institute of Medical Sciences and Research (CDSIMER), Harohalli, Ramanagara District, Karnataka, India 562112 * Correspondence: drdebataipsita@gmail.com. Phone: +91-9972483237 Received 08 August 2021; Accepted 25 August 2021; Published 14 September 2021 ABSTRACT Background: Milk promotes child growth; however, adulterated milk reduces nutritional value and exposes children to harmful chemicals. Therefore, this study aimed to assess the nutritional status of children aged 1–5 years living in the selected study area and test milk samples from the children's households for common adulterants. The study further aimed to explore the association between malnutrition and milk adulteration. Methods: We used a community-based cross-sectional study design conducted in the service area of a tertiary healthcare institute in Bangalore Rural District, Karnataka state, India. Systematic random sampling was used to recruit 180 children aged 1–5 years. Primary data was collected through interviews, anthropometry, and strip tests for milk adulteration. Statistical analysis consisted of descriptive analysis, Chi-square tests, odds ratios, and 95% confidence intervals. Results: Prevalence of underweight, stunting, wasting, and low Body Mass Index (BMI) was 13.33%, 38.33%, 15.0%, and 26.7%, respectively. General adulterants detected were neutralizers in 97 (53.9%) and maltodextrin in 90 (50%) samples. Higher proportions of stunting, underweight and low BMI were found in children drinking adulterated milk. Low BMI was significantly associated with joint family and lower maternal education. Conclusion: Our study found a high prevalence of malnutrition in children, particularly stunting. The study also detected widespread adulterants in milk and a potential association with malnutrition. The authors recommend further studies with a larger sample size to accurately delineate the relationship between milk adulteration and malnutrition. Keywords: Malnutrition; Milk adulteration; Under-five; Stunting; Underweight; Wasting Mukhopadhyay (A Community-Based Study of Milk Adulteration…) Vol. 4, No. 1, 2021, pp. 1-11 10.26555/eshr.v4i1.4641 2 INTRODUCTION In India, 38 percent of under-5 children are stunted, a manifestation of chronic undernutrition. Malnutrition is responsible for nearly half of all child deaths globally (1). There are significant inequalities across states and socioeconomic groups, with rural areas and the poorest people being the worst affected (2). Bangalore Rural District in Karnataka state is below expected standards in key indicators of nutrition. The National Family Health Survey 2015-16 (NFHS-4) results reveal stunting in 38.5% of under-five children, wasting in 26.9%, and underweight in 37.7%, a worrisome prevalence (3). In the Indian population, approximately 12% of the dietary intake consists of milk and food products derived from milk (4). In Karnataka state, as much as one-fifth (22.2%) of the population is lactovegetarian which means milk is the only source of animal-based protein for these families and their children (5). However, research has revealed that approximately 80% of children in the 1–6 years age group in Karnataka consume less than 50% of the recommended daily intake (RDI) of milk and milk-based foods (6). Undernourished children who regularly drink milk show better growth and cognition and improvements in biochemical and functional indicators of nutrition, thereby enhancing health and reducing mortality (7). However, adulterated milk is a serious public health issue, with around 68.7 percent of milk not satisfying the standards of the Food Safety and Standards Authority of India (FSSAI) (8). Adverse consequences of drinking adulterated milk are well documented worldwide (9–11). Therefore, in our capacity as public health researchers working in a tertiary healthcare institution, we proposed the present study. Our objectives were to assess the nutritional status of children aged 1–5 years, to test milk samples from the children’s households for common adulterants, and further to explore the association of milk adulteration with malnutrition in children so that baseline data could be made available and utilized in future to confront these two important public health issues. METHOD This study was designed as a community based cross-sectional study in the catchment area of the Rural Health and Training Centre (RHTC) of a tertiary health institute. The RHTC serves a total population of over 25000, of which around 2500 were estimated to be children aged five years or less (approximately 10% based on Census 2011 data) (12). Among this group, children aged 1-5 years were included in the study as infants may be largely dependent on maternal nursing. We calculated a sample size of 180 based on an initial estimate of 150 using the formula n = z2P(1-P)/d2,(13) taking z = 1.96 at 95% confidence level, d = 0.05, P = 0.11 taking 11% prevalence of severe wasting based on NFHS-4 data (3) and adding 20% for non-response. The inclusion criteria were age 1-5 years, residence in the area for at least the past six months, and the guardian's consent for the child to participate in the study and provide a sample of raw milk purchased the same day for testing. We carried out a house-to-house survey, using systematic random sampling, and collected data using a pretested objective questionnaire administered to the mothers of the selected children, or if the mother was absent, the following primary caregiver. The questionnaire contained basic identifier data, followed by education, occupation and income, and health- Mukhopadhyay (A Community-Based Study of Milk Adulteration…) Vol. 4, No. 1, 2021, pp. 1-11 10.26555/eshr.v4i1.4641 3 related information such as vaccination status, breastfeeding, recent illnesses, and others. This was followed by obtaining a sample of raw milk for testing and anthropometric assessment of weight and height/length as described in the World Health Organization (WHO) child growth standards training manual (14). Milk was tested for the presence of water, starch, urea, and detergent using methods recommended by FSSAI (15) and for maltodextrin, hydrogen peroxide, and neutralizers using strip tests, developed through technology transfer from National Dairy Research Institute (NDRI) (16). Raw data were tabulated and cleaned. Descriptive analysis was performed using classifications such as age group, educational level, and economic class. Socioeconomic status was coded using Modified Prasad’s Socioeconomic Scale criteria (17). Milk adulteration was defined according to FSSAI criteria (15). Underweight was defined as Weight for Age (WFA) less than two standard deviations (-2SD) below the median of the WHO Child Growth Standards (WHOCGS), Stunting as Height for Age (HFA) less than 2SD below the WHOCGS median, and Wasting as Weight for Height (WFH) less than 2SD below the WHOCGS median. Bivariate analysis was done using Chi-square tests. Odds ratios and 95% confidence intervals were derived. Ethical clearance for the study was obtained from the Institutional Ethics Committee of Akash Institute of Medical Sciences and Research Centre, Devanahalli, Karnataka (Reference ID AIMSRC/RP/EC/14/2019). RESULTS Demography We studied 91 girls and 89 boys, of mean age 29.3 7± 13.72 (SD) months. The age and gender distribution of the study sample are shown in Figure 1. Figure 1. Age and gender distribution of the study participants Mukhopadhyay (A Community-Based Study of Milk Adulteration…) Vol. 4, No. 1, 2021, pp. 1-11 10.26555/eshr.v4i1.4641 4 Among the 180 children, 67 (37.2%) belonged in the 12-23 months age group. The nuclear family was the predominant family type, with 115 (63.9%) children in this category. Almost all the children, viz., 175 (97.2%), fell in the lower and lower-middle-class socioeconomic category. (Table 1) Table 1. Socio-demographic profile of the participants Characteristic Frequency (N=180) Percentage (%) Religion Hindu 170 94.4 Muslim 10 5.6 Christian 0 0.0 Type Of Family Nuclear 115 63.9 Joint 65 36.1 Socio-Economic Status* High 0 0.0 Upper Middle 5 2.8 Lower Middle 55 30.5 Upper Lower 111 61.7 Lower 9 5.0 Mother’s Education Illiterate 7 3.9 Primary 46 25.6 Secondary 127 70.6 Father’s Education Illiterate 11 6.1 Primary 48 26.7 Secondary 121 67.2 Mother’s Occupation Unemployed/ Homemaker 173 96.1 Employed 7 3.9 Father’s Occupation Unemployed/ Homemaker 2 1.1 Employed 178 98.9 *As per Modified Prasad’s Socioeconomic Scale 127 (70.6%) mothers and 121 (67.2%) fathers had received secondary level education among the parents. Most of the mothers were homemakers, and most fathers were employed in occupations outside the home. Anthropometry We did not note any significant gender differences in underweight, stunting, and wasting. Assessment of Body Mass Index (BMI) as per WHO BMI standards showed a statistically significant gender difference with more boys being overweight/obese compared to girls (16/89 boys; 17.97% vs 5/91 girls; 5.49%, chi-square = 6.8, df = 1, P = 0.009, OR = 3.77, 95%CIOR = 1.32–10.79). Table 2 shows the proportions of underweight, stunting, and wasting observed in the study participants. Mukhopadhyay (A Community-Based Study of Milk Adulteration…) Vol. 4, No. 1, 2021, pp. 1-11 10.26555/eshr.v4i1.4641 5 Table 2. Anthropometric indices of the participants Characteristic Male (N=89) n (%) Female (N=91) n (%) Total (N=180) n (%) Weight For Age (WFA)* Underweight (median-3SD median+2SD) 4 (4.49) 1 (1.09) 5 (2.78) Height For Age (HFA)† Stunted (median-3SD median+2SD 0 (0.0) 2 (2.19) 2 (1.11) HFA >median+3SD 2 (2.19) 7 (7.69) 9 (5) Weight For Height (WFH)‡ Wasted (median-3SD median+2SD 4 (4.49) 0 (0.0) 4 (2.22) WFH >median+3SD 8 (8.99) 0 (0.0) 8 (4.44) Body Mass Index (BMI)§ Underweight (<18.5) 28 (31.46) 20 (21.97) 48 (26.7) Healthy Weight (18.5–24.9) 45 (50.56) 66 (72.53) 111 (61.7) Overweight (25.0–29.9) 4 (4.49) 2 (2.20) 6 (3.3) Obese (≥30.0) 12 (13.48) 3 (3.30) 15 (8.3) *Underweight: weight for age (WFA) less than WHOCGS median-2SD †Stunting: height for age (HFA) less than WHOCGS median-2SD ‡Wasting: weight for height (WFH) less than WHOCGS median-2SD § BMI: As per WHO BMI standards Milk adulteration A striking proportion of the milk samples in our study, 158 out of 180 (87.8%), were adulterated with water and/or other chemicals, with neutralizers being the most common adulterant. Urea as an adulterant was not detected in any sample (Figure 2A). We observed that 65 (36.1%) milk samples had two types of adulterants mixed, followed by any one type of adulterant in 58 (32.2%) milk samples (Figure 2B). Figure 2. Types of adulterants (A) and Presence of multiple adulterants (B) in milk samples Mukhopadhyay (A Community-Based Study of Milk Adulteration…) Vol. 4, No. 1, 2021, pp. 1-11 10.26555/eshr.v4i1.4641 6 Association between malnutrition and adulteration The proportions of underweight, stunting and low BMI were higher among children drinking adulterated milk, although these differences were not statistically significant. The proportion of wasting was found to be higher in children drinking unadulterated milk. This difference was also not statistically significant (Table 3). Table 3. Association between adulteration and malnutrition Variable: Underweight (WFA < median-2SD) Normal Underweight Total χ 2 P value n % n % n % Unadulterated milk 20  90.91 2 9.09 22 100 0.39 0.532 Adulterated milk 136 86.08 22 13.92 158 100 Total 156 86.67 24 13.33 180 100 Variable: Stunting (HFA < median-2SD) Normal Stunted Total χ 2 P value n % n % n % Unadulterated milk 15 68.18 7 31.82 22 100 0.45 0.502 Adulterated milk 96 60.76 62 39.24 158 100 Total 111 61.67 69 38.33 180 100 Variable: Wasting (WFH < median-2SD) Normal Wasted Total χ 2 P value n % n % n % Unadulterated milk 18 81.82 4 18.18 22 100 0.199 0.656 Adulterated milk 135 85.44 23 14.56 158 100 Total 153 85.00 27 15.00 180 100 Variable: Low BMI (BMI < 18.5) Normal Low BMI Total χ 2 P value n % n % n % Unadulterated milk 17 77.27 5 22.72 22 100 0.199 0.656 Adulterated milk 115 72.78 43 27.22 158 100 Total 132 73.33 48 26.66 180 100 Socio-demographic associations of malnutrition We noted that odds of being undernourished were significantly lower in children living in nuclear families and significantly higher in children whose mothers were not educated beyond primary school level (Table 4). Table 4. Association between socio-demographic variables and malnutrition Socio- demographic variables Undernourished (BMI < 18.5) Not Undernourished (BMI ≥ 18.5) Total χ2; P-value OR; 95% CIOR n % n % Family type Nuclear 25 21.7 90 78.3 115 3.95; 0.047 0.507; 0.258–0.996 Joint 23 35.4 42 64.6 65 Mother's education Primary 21 39.6 32 60.4 53 6.448; 0.011 2.431; 1.212–4.872 ≥Secondary 27 21.3 100 78.7 127 Mukhopadhyay (A Community-Based Study of Milk Adulteration…) Vol. 4, No. 1, 2021, pp. 1-11 10.26555/eshr.v4i1.4641 7 DISCUSSION The present study reported the overall prevalence of underweight/undernutrition, stunting, wasting, and low BMI as 13.33%, 38.33%, 15.0%, and 26.7%, respectively. This is similar to the findings of the study by Meshram et al. (18) among under-5 children in Surat, Gujarat. A notable finding of our study is that there were no significant differences in undernutrition between boys and girls, which points towards the absence of discrimination against girls in feeding and care. However, there was a marked gender difference in the overweight/obese category, significantly more boys than girls. This finding indicates that while girls may not be overtly mistreated, boys are still possibly receiving preferential care related to feeding and household chores. The observed prevalence of stunting (38.33%) in this study suggests widespread chronic malnutrition in our study population. This was consistent with findings of studies done by Sahoo et al. (42.2%) (19) and Popat et al. (46.1%) (20). Most children in this study, viz 115 (63.9%), belonged to nuclear families. Malnutrition was found to be more common in children from joint families compared to nuclear families. Similar findings were reported by Gopinath et al. (21) and Kodavanti Rao et al. (22). This study also revealed a significant association between a mother's education and a child's BMI, which is concordant with results reported by Sahoo et al. (19) and Mittal et al. (23). This finding can be attributed to educated mothers having better knowledge about breastfeeding, complementary feeding, and immunization, which would profoundly affect the child's nutritional status. This is supported by research findings from India and other countries (24– 29). The commonest adulterants detected in our study were neutralizers found in 97 (53.9%) samples and maltodextrin found in 90 (50%) samples. In rural areas, dairy farms may not be modernized, and the cold chain may be faulty, leading to milk spoilage. Sowmya et al. observed that middlemen add neutralizers to extend the shelf life of milk by neutralizing the acids produced by bacterial activity, which can maximize the seller's profit but cause significant harm to consumers, especially children (30). The National Milk Safety and Quality Survey 2018 report has also noted the presence of maltodextrin in 156 (out of 6432) samples (31). The report notes that while these may not directly threaten health, such instances of adulteration must nevertheless be prevented by instituting stringent curbs. Hydrogen peroxide was the next most common adulterant, found in 55 (30.6%) samples. Researchers have documented the longstanding and worldwide use of hydrogen peroxide (H2O2) as an adulterant in milk to preserve and lengthen its shelf life. (32, 33). However, it is not desirable to have this contaminant either in trace amounts as a residue of cleaning or due to active adulteration by profiteers. The addition of peroxides and detergents to milk may be responsible for symptoms of gastro-intestinal distress (34). This study showed that 47 (26.1%) of our milk samples were diluted with added water. According to Handford et al., the FSSAI 2012 national survey had reported extensive use of water to adulterate milk, making it the most common milk adulterant in India. This practice results in low-quality milk with poor nutritional value (9). Similarly, Grace et al., in their study on milk safety in North East India, reported finding water used to dilute milk in samples from all dairies (35). Mukhopadhyay (A Community-Based Study of Milk Adulteration…) Vol. 4, No. 1, 2021, pp. 1-11 10.26555/eshr.v4i1.4641 8 This study shows a trend of higher proportion of stunting, underweight and low BMI in the children drinking adulterated milk compared to those who drank milk without any detectable adulterants. However, our results were not found to be statistically significant. The consistent trend of these indicators of malnutrition showing higher prevalence in children drinking adulterated milk is a pointer to the deleterious effect of adulterants, even in trace quantities, on young children. Handford et al. echo this concern, stating that diluting milk with water harms its nutritional value. This may lead to severe challenges with malnutrition in infants and children (9). In India, milk is a chief source of protein for a largely vegetarian population. We must consider the possibility that the extensive prevalence of milk fraud in India, as reflected in the FSSAI 2012 milk safety survey, could be a causative factor in childhood malnutrition (36). The proportion of wasting in this study did not follow a similar trend of being higher in children drinking adulterated milk. However, wasting is related to acute nutritional deficiencies and infectious diseases compared to stunting, which is an indicator of chronic malnutrition. There may be confounding factors at play in the scenario of acute malnutrition, which may mask the effect of milk adulteration. Thus, stunting may be a more appropriate indicator of the effects of long-term consumption of diluted/contaminated milk that is nutritionally subpar and exposes the child to prolonged, sub-lethal doses of various harmful adulterants. A fundamental limitation of this study was that testing for milk adulterants was qualitative. The strip tests used in this study only indicated the presence or absence of adulterants and not the concentration in which they were present. Resource and feasibility constraints prevented quantitative analysis from assessing the exact amount of each adulterant in the samples. We observed a high proportion of adulterated milk samples, which resulted in correspondingly very few unadulterated samples. This may have affected the statistical analysis, in which a specific minimum count is required in each cell for the tests of association to be dependable. CONCLUSION This study attempts to elucidate the relationship between milk adulteration and childhood malnutrition. The key findings of this study were a high percentage of stunting (38.33%), low BMI (26.7%), wasting (15%), and underweight (13.33%) among children, and an alarming presence of adulterants in nearly 90% of the milk samples tested. Undernutrition was significantly associated with joint family and lower maternal education, and a potential association was detected between malnutrition and milk adulteration. Our findings emphasize the importance of maternal education. The results of this study warrant further research with larger sample sizes to accurately delineate the relationship between milk adulteration and malnutrition, and quantitative analysis of adulterants to gain a clearer picture of the extent of adulteration dose-response relationship, if any, between various adulterants and malnutrition. Authors' contribution AM: research design, analysis, and manuscript writing; ID: data collection, analysis, and manuscript writing; RPK: manuscript writing; NN: research design, data collection; PR: analysis. Mukhopadhyay (A Community-Based Study of Milk Adulteration…) Vol. 4, No. 1, 2021, pp. 1-11 10.26555/eshr.v4i1.4641 9 Funding This project was carried out under a Short Term Studentship grant from the Indian Council of Medical Research (ICMR STS, reference ID 2019–04155). Acknowledgment The authors acknowledge the children who participated in this study and thank the parents for their consent. Conflict of interest The authors declare that there are no conflicts of interest. REFERENCES 1. UNICEF. Stunting [Internet]. 2017 [cited 2017 Nov 29]. Available from: http://unicef.in/Whatwedo/10/Stunting 2. Helping India combat persistently high rates of malnutrition [Internet]. 2013 [cited 2017 Nov 29]. Available from: https://www.worldbank.org/en/news/feature/2013/05/13/helping- india-combat-persistently-high-rates-of-malnutrition 3. Government of India. National Family Health Survey [Internet]. 2015 [cited 2017 Nov 29]. International Institute for Population Science. 2015. p. 1–5. Available from: http://rchiips.org/nfhs/pdf/NFHS4/KA_FactSheet.pdf 4. Longvah T, Toteja G, Upadhyay A. Iodine content in bread, milk and the retention of inherent iodine in commonly used Indian recipes. Food Chem. 2013;136(2):384–388. Available from: https://pubmed.ncbi.nlm.nih.gov/23122074/ 5. Agrawal S, Millett CJ, Dhillon PK, Subramanian S, Ebrahim S. Type of vegetarian diet, obesity and diabetes in adult Indian population. Nutr J. 2014 Sep 5;13(89):1-18. Available from: https://pubmed.ncbi.nlm.nih.gov/25192735/ 6. Harinarayan CV, Akhila H, Shanthisree E. Modern India and dietary calcium deficiency— half a century nutrition data—retrospect–introspect and the road ahead. Front Endocrinol. 2021 Apr 6;12:583654. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8056136/ 7. Dror DK, Allen LH. The importance of milk and other animal-source foods for children in low-income countries. Food Nutr Bull. 2011;32(3):227–243. Available from: https://pubmed.ncbi.nlm.nih.gov/22073797/ 8. Misra S. Most Indians drinking adulterated milk, finds FSSAI survey [Internet]. 2012 [cited cited 2020 Feb 14]. Available from: https://www.downtoearth.org.in/news/most-indians- drinking-adulterated-milk-finds-fssai-survey--35646 9. Handford CE, Campbell K, Elliott CT. Impacts of milk fraud on food safety and nutrition with special emphasis on developing countries. Compr Rev food Sci food Saf. 2016;15(1):130–142. Available from: https://pubmed.ncbi.nlm.nih.gov/33371582/ 10. Kandpal SD, Srivastava A, Negi K. Estimation of quality of raw milk (open & branded) by milk adulteration testing kit. Indian J Community Heal. 2012 Jul;24(3):188–192. Available from: https://www.iapsmupuk.org/journal/index.php/IJCH/article/view/248/248 11. Singh P, Gandhi N. Milk preservatives and adulterants: processing, regulatory and safety issues. Food Rev Int. 2015 Jul 3;31(3):236-261. Available from: https://www.tandfonline.com/doi/abs/10.1080/87559129.2014.994818 12. Government of India. Karnataka Population Census data 2011 [Internet]. 2017 [cited 2021 Aug 13]. Available from: https://censusindia.gov.in/2011-Common/CensusData2011.html Mukhopadhyay (A Community-Based Study of Milk Adulteration…) Vol. 4, No. 1, 2021, pp. 1-11 10.26555/eshr.v4i1.4641 10 13. Pourhoseingholi MA, Vahedi M, Rahimzadeh M. Sample size calculation in medical studies. Gastroenterol Hepatol Bed Bench. 2013 Winter; 6(1): 14–17. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017493/ 14. World Health Organization. Training Course on Child Growth Assessment. Geneva: WHO; 2008. Available from: https://www.who.int/childgrowth/training/module_b_measuring_growth.pdf 15. Food Safety Helpline. FSSAI shares testing methods to find adulteration in Milk & Milk Products [Internet]. 2014 [cited 2019 Jan 23]. Available from: https://foodsafetyhelpline.com/fssai-shares-the-testing-methods-for-adulteration-in-milk- milk-products/ 16. United News of India. Milk testing strip developed by NDRI scientists of Karnal [Internet]. 2016 [cited 2019 Jan 23]. Available from: http://www.uniindia.com/milk-testing-strip- developed-by-ndri-scientists-of-karnal/states/news/443849.html 17. Sharma R. Revision of Prasad’s social classification and provision of an online tool for real-time updating. South Asian J Cancer. 2013;2(3):157. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892518/pdf/SAJC-2-157.pdf 18. Meshram II, Rao MK, Reddy CG, Ravindranath M, Sharad Kumar S, Sreerama KK et al. Prevalence of under nutrition and its predictors among under 5 year children in Surat region, Gujarat, India. J Clin Nutr Diet. 2016;2(1):1-12. Available from: https://clinical- nutrition.imedpub.com/prevalence-of-under-nutrition-and-its-predictors-among-under-5- year-children-in-surat-region-gujarat-india.php?aid=8181 19. Sahoo DP, Dehmubed A, Jajulwar MB. An epidemiological study of acute malnutrition in children of age 6 months to 5 years in an urban slum of Mumbai, Maharashtra. J Datta Meghe Inst Med Sci Univ. 2017;12(3):181-186. Available from: http://www.journaldmims.com/article.asp?issn=0974- 3901;year=2017;volume=12;issue=3;spage=181;epage=186;aulast=Sahoo 20. Popat CN, Chaudhari AI, Mazumdar VS, Patel SV. A cross sectional study to measure the prevalence of malnutrition and factors associated with malnutrition among under five children of an urban slum of Vadodara city. J Res Med Dent Sci. 2014;2(3):59–64. Available from: https://www.jrmds.in/abstract/a-cross-sectional-study-to-measure-the- prevalence-of-malnutrition-and-factors-associated-with-malnutrition-among-under-f- 1549.html 21. Gopinath TT, Logaraj M, John KR . Assessment of nutritional status of children aged under five years in tribal population of Jawadhu hills in Tamil Nadu. Int J Community Med Public Heal. 2018 Feb 24;5(3):1041-1046. Available from: https://www.ijcmph.com/index.php/ijcmph/article/view/2448/1859 22. Rao MK, Balakrishna N, Laxmaiah A, Venkaiah K, Brahmam G. Diet and nutritional status of adolescent tribal population in nine states of India. Asia Pac J Clin Nutr. 2006;15(1):64– 71. Available from: https://pubmed.ncbi.nlm.nih.gov/16500880/ 23. Mittal, Singh J, Ahluwalia S. Effect of maternal factors on nutritional status of 1-5-year-old children in urban slum population. Indian J Community Med. 2007;32(4):264-267. Available from: https://www.ijcm.org.in/article.asp?issn=0970- 0218;year=2007;volume=32;issue=4;spage=264;epage=267;aulast=Mittal 24. Gopal BS, Devaramani YS. Infant mortality, its components and correlates: findings from a longitudinal study in rural Karnataka, India. Genus. 1991; 47(1-2): 89–108. Available from: https://pubmed.ncbi.nlm.nih.gov/12284827/ 25. Huq MN, Tasnim T. Maternal Education and Child Healthcare in Bangladesh. Matern Child Heal J 2007 121. 2007;12(1):43–51. Available from: https://link.springer.com/article/10.1007/s10995-007-0303-3 26. Saleem AF, Mahmud S, Baig-Ansari N, Zaidi AKM. Impact of maternal education about complementary feeding on their infants’ nutritional outcomes in low- and middle-income households: a community-based randomized interventional study in Karachi, Pakistan. J Mukhopadhyay (A Community-Based Study of Milk Adulteration…) Vol. 4, No. 1, 2021, pp. 1-11 10.26555/eshr.v4i1.4641 11 Health Popul Nutr. 2014;32(4):623-633. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438693/ 27. Johri M, Subramanian S V, Sylvestre M-P, Dudeja S, Chandra D, Koné GK, et al. Association between maternal health literacy and child vaccination in India: a cross- sectional study. J Epidemiol Community Heal. 2015;69(9):849–857. Available from: https://jech.bmj.com/content/69/9/849 28. Balogun SA, Yusuff HA, Yusuf KQ, Al-Shenqiti AM, Balogun MT, Tettey P. Maternal education and child immunization: the mediating roles of maternal literacy and socioeconomic status. Pan Afr Med J. 2017; 26 (April 2017):1-8. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491723/ 29. Iftikhar A, Bari A, Bano I, Masood Q. Impact of maternal education, employment and family size on nutritional status of children. Pakistan J Med Sci. 2017;33(6):1401-1405. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768833/pdf/PJMS-33- 1401.pdf 30. Sowmya R, Indumathi KP, Arora S, Sharma V, Singh AK. Detection of calcium based neutralizers in milk and milk products by AAS. J Food Sci Technol. 2015;52(2):1188– 1193. Available from: https://pubmed.ncbi.nlm.nih.gov/25694738/ 31. Food Safety and Standards Authority of India (FSSAI). National Milk Safety and Quality Survey 2018 Executive Summary. [Internet]. 2019 [cited 2019 Oct 25]. Available from: https://fssai.gov.in/upload/uploadfiles/files/Report_Milk_Survey_NMQS_Final_18_10_20 19.pdf 32. Martin NH, Friedlander A, Mok A, Kent D, Wiedmann M, Boor KJ. Peroxide test strips detect added hydrogen peroxide in raw milk at levels affecting bacterial load. J Food Prot. 2014;77(10):1809–13. Available from: https://pubmed.ncbi.nlm.nih.gov/25285503/ 33. Ivanova AS, Merkuleva AD, Andreev SV, Sakharov KA. Method for determination of hydrogen peroxide in adulterated milk using high performance liquid chromatography. Food Chem. 2019; 283 (15 June 2019):431–436. Available from: https://pubmed.ncbi.nlm.nih.gov/30722894/ 34. Azad T, Ahmed S. Common milk adulteration and their detection techniques. Int J Food Contam. 2016; Dec 5;3(1):22:1–9. Available from: https://foodcontaminationjournal.biomedcentral.com/articles/10.1186/s40550-016-0045- 3 35. Grace D, Baker D, Randolph TF. Innovative and participatory risk-based approaches to assess milk-safety in developing countries: a case study in North East India. Paper presented at the International Association of Agricultural Economists (IAAE) conference in Beijing, China, 17-22 August 2009. Nairobi (Kenya): ILRI 2009; Available from: https://cgspace.cgiar.org/handle/10568/1119 36. Singh R, Wright T. USDA Foreign Agricultural Service, Global Agricultural Information Network. FSSAI Conducts National Survey on Adulteration of Milk. [Internet]. 2012 [cited 2021 Sep 2]. Available from: http://agriexchange.apeda.gov.in/MarketReport/Reports/FSSAI%20Conducts%20Nation al%20Survey%20on%20Adulteration%20of%20Milk_New%20Delhi_India_1-13- 2012.pdf