Maternal perception of sickness as a risk factor 156 *Division of Nutrition, Faculty of Medicine, Diponegoro University, Semarang **Department of Pediatrics, Faculty of Medicine, Diponegoro University/ Dr.Kariadi Central General Hospital, Semarang ***Program in Nutrition, Muhamadiyah University, Semarang Correspondence: Maria Fatima Dete Dellu Division of Nutrition, Faculty of Medicine, Diponegoro University, Semarang. Jl. Dr. Soetomo No. 18 (Komplek Zona Pendidikan RSUP Dr. Kariadi, Gd. Dekanat FK Undip Lt.2) Email: mariafatimadellu@gmail.com Univ Med 2016;35:156-64 DOI: 10.18051/UnivMed.2016.v35.156-164 pISSN: 1907-3062 / eISSN: 2407-2230 This open access article is distributed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 International License ABSTRACT UNIVERSA MEDICINA September-December, 2016September-December, 2016September-December, 2016September-December, 2016September-December, 2016 Vol.35 - No.3 Vol.35 - No.3 Vol.35 - No.3 Vol.35 - No.3 Vol.35 - No.3 Maternal perception of sickness as a risk factor of stunting in children aged 2-5 years Maria Fatima Dete Dellu*, Maria Mexitalia**, and Ali Rosidi*** BACKGROUND Stunting in children is caused by past nutritional problems, adversely affects the physical and mental characteristics of children and is a well- established child-health indicator of chronic malnutrition. Socio-cultural factors can affect parenting, thereby indirectly affecting child growth. The objective of this study was to determine socio-cultural factors and parental short stature as risk factors of stunting in children aged 2 to 5 years. METHODS The study used a quantitative approach with case control design and a qualitative approach with in-depth interview. The study subjects were children aged 2-5 years, consisting of 45 cases of stunting and 45 controls (normal subjects). Socio-cultural data were obtained through interviews with the mothers, while height was measured with a stadiometer. Data were analyzed using chi square and logistic regression tests to calculate the odds ratio (OR). RESULTS The logistic regression test showed that maternal perception of sickness as a curse (OR=7.43; 95% CI: 2.37-23.21), stopping breastfeeding at <24 months (OR=6.01;95% CI: 1.83-19.69) and low household expenditure for food (OR=5.78;95% CI: 1.28-26.01) were risk factors of stunting incidence with a probability of 73.8%. The most dominant risk factor of stunting was maternal perception of sickness (OR=7.43 95% CI: 2.37-23.21). CONCLUSION Maternal perception of sickness was the most dominant risk factor of stunting in children 2-5 years of age. A multidisciplinary approach is needed to address the range of raised issues and so combat stunting in children. Keywords: Stunting, socio-cultural, parental short stature, children aged 2-5 years DOI: http://dx.doi.org/10.18051/UnivMed.2016.v35.156-164 157 INTRODUCTION Stunting or short stature is the condition in which the height-for-age index is less than -2 standard deviations (SD). A child with stunting will be shorter than a normal child of the same age.(1) The condition of stunting in children shows the presence of nutritional deficiencies and disease that occurred in their growth and development early in life.(2) The global prevalence of stunting to date is still relatively high, since in several countries more than half of children under 5 years of age are recorded as having retarded growth.(2) Data from the Indonesian Basic Health Research (Riskesdas) for the year 2013 showed that up to 37.2% of Indonesian underfives suffered from stunting. The highest prevalence of stunting of 58% was found in the province of East Nusa Tenggara (Nusa Tenggara Timur, NTT).(3) In this province, South Central Timor (Timor Tengah Selatan, TTS) district has in recent years had the highest prevalence of stunting among the underfives. The Riskesdas for 2007 showed that the prevalence of stunting in the underfives in TTS district was 57%, increasing up to 70.5% in 2013, with Amanuban subdistrict as one of the subdistricts with the highest prevalence of stunting, i.e. 66.25%.(4) Previous studies have concluded that the prevalence of stunting in children is caused by various factors. The study of Nabuasa et al.(5) in children aged 24-59 months found a significant association between culture and the prevalence of stunting. This differs from a study in the Medan Area district, which found no relationship between family tradition/beliefs and nutritional status in children.(6) Parental genetics, in this case parental height, is also of influence on the problem of stunting in children. Parental height and growth pattern are the key to the growth pattern of their children. Mothers with a height of <145 cm are at higher risk of having children with stunting compared with mothers with a height of >145 cm.(7) The study by Solihin et al.(8) stated that maternal height is significantly associated with nutritional status (height-for-age index) of the underfives. However, this differs from the study by Hanum (9) and Kusuma (10) who found that maternal height is not associated with the nutritional status of the children. The present study focuses on the socio- cultural variables of the local community and parental short stature, in this case the height of both parents. Previous studies investigating the influence of socio-economic and socio-cultural variables on the nutritional status of the children, focused only on maternal height in relation to the prevalence of stunting in children. On the other hand, the present study used the height of both parents in relation to the prevalence of stunting, with the aim to determine socio-cultural factors and parental short stature as risk factors for the prevalence of stunting in children aged 2-5 years. METHODS Design of the study The study design used a quantitative approach with an analytic-observational unmatched case-control design and a qualitative approach with in-depth interview and focus group disscusion (FGD). The study location was Amanuban Selatan subdistrict, Timor Tengah Selatan district, Nusa Tenggara Timur province. The study was conducted from February to April 2016. Study subjects The subjects of this study were 90 children aged 2-5 years, consisting of 45 cases of stunting and 45 normal controls. The required sample size was calculated using the formula for analytic unmatched case-control studies with categorical variables. Recruitment of the study subjects was by the simple random type of probability sampling. The subjects were selected from the intended study population of 415 children, who were then stratified into cases and controls, in accordance with the exclusion and inclusion criteria that had been decided upon. The inclusion Univ Med Vol. 35 No.3 158 criteria in this study were children with stunting and normal children, living with their own parents, having a record of their birth weight, born at term with a weight of >2500 grams, and their parents agreeing for their children to be included in the study sample. Categorization into children with stunting and normal children was based on the children’s height-for-age index expressed as z- scores. The children were considered to have stunting if the height-for-age z-score was ≤-2 standard deviations (SD) and not to have stunting (or to be of normal height) if the height-for-age z- score was >-2 SD.(4) Anthropometric measurements Measurement of height was performed in the children who were the subjects of this study and in both of their parents, using a stadiometer with an accuracy of 0.1 cm. The measurement procedure was as follows: the subjects without footwear and headgear stood upright in contact with the measuring device and looked straight ahead, with the eyes parallel to the vertex. The operator moved the paddle of the measuring device downwards so that it rested lightly on the subject’s head, then read the result off the device. The evaluation of parental short stature was performed by measuring the height of both parents, then using the formula of midparental height (MPH) to project the development of the height of their children based on the genetics of both parents. The calculated result was then plotted on a curve generated by the WHO Anthro program.(11) Data collection Data on community socio-cultural characteristics were obtained by in-depth interviews with the respondents, i.e. the mothers of the subjects. Data on individual perception about sickness and the customs for pregnant mothers were obtained by interviews using questionnaires. The investigators asked whether the parents, in this case the mothers of the subjects, believed that the sickness suffered by their children was or was not a curse, through a number of questions. Maternal perception about sickness was categorized as perception of sickness as a curse and perception of sickness not as a curse. On the custom of food taboos for pregnant mothers, the investigators asked the mothers about their dietary habits during pregnancy, such as whether they did or did not observe taboos on certain foods or dishes that are forbidden by culture. The dietary habit of the pregnant mothers was categorized as observing food taboos and not observing food taboos. With regard to the custom of stopping breastfeeding, the investigators asked the mothers whether they believed or not that breastfeeding the children until the age of 24 months will interfere with the growth of the children. The custom of stopping breastfeeding was categorized as stopping breastfeeding at <24 months and stopping breastfeeding at ≥24 months. The question posed to the mothers about the custom of administering food to the newborn was whether or not there were certain foods that according to culture must be given to newborn infants. Administration of foods to newborn infants was categorized as administering the foods and not administering the foods. Data on the maternal educational level were obtained by asking the mothers about their level of formal education up to the time of interview. The educational level was categorized as low if the respondents did not have any education or received education up to primary school or junior high school, and as high if the respondents went from senior high school to tertiary education, either at diploma level or higher. As to household expenditure, the parents were asked about their weekly expenditure for food for consumption by all family members. The weekly expenditure was then multiplied by four to obtain the total monthly expenditure. The cut- off point was determined on the basis of the mean total expenditure. The level of household expenditure was categorized as low (