Social Sciences
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Item Maternal factors which are affecting for the low birth weight(4th National Research Conference on Applied Social Statistics, Social Statistics Students’ Association, Department of Social Statistics, Faculty of Social Science, University of Kelaniya, Sri Lanka, 2018) Gamage, L.K.; Wijesinghe, W.A.N.D.The intervention in the time period of pregnancy and early childhood plays a prominent role in order to fulfill our wishes on Sri Lankan child population. Maternal protection during the pregnancy period is crucial as it directly affects to the development of the child fatality. In relation to study, child’s body weight at birth is considered as body mass Index (BMI) for the proper growth of the child the birth must be at least 2500g and births below 2500g weight is considered as low birth weight and those kids may not properly develop and immune to disease are in low level. It has taken Galle District Mahamodara maternity hospital pregnant mothers who delivered their babies on February 2017 as the population. According to that it has selected 289 pregnant in line with stratified random sampling method and gathered primary data with a questionnaire. The relevant data has been collected day after the babies’ birth and continued for the entire February month. The selected population comprises of 4 wards of post-delivery and samples were collected in line with the percentage representing every ward. Following are the identified independent variables Mother’s nutrition, Average family income, Employment of mother, Number of children mother feeds, Mother’s age, Number of family members, Mother’s educational level, Diabetic condition of mother, and High blood pressure condition of the mother. The dependent variable in the research is the weight of the children. Analyzes were done by using SPSS 10.1 software. According to the study multiple regression analysis has been conducted using an independent variables in order to describe dependent variable, the “child’s birth weight”. Y=𝛽0+𝛽𝑖𝑥𝑖+⋯……………+𝛽𝑘𝑥𝑘+𝜀" i = 1,2,3,……………..,k ' In line with research estimated multiple regression is shown below, BW = 1558.406+ 412.371 BMI+95.648 EL – 218.397 DC' The mother’s nutrition, mother’s educational level, mother’s diabetic condition variables have been identified that affects to child’s birth weight using multiple regression. Considering the studies carried out in different districts in Sri Lanka the above factors proves true. To minimize these negative impacts it is important to launching promotional programs awareness workshops on maternity nutrition, Identifying malnutrition and sick mothers and conduct special medical clinics for them and make aware the family members on pregnancy safety and nutritional needsItem Maternal factors which are affecting for the low birth weight(4th National Research Conference on Applied Social Statistics, Social Statistics Students’ Association, Department of Social Statistics, Faculty of Social Science, University of Kelaniya, Sri Lanka, 2018) Gamage, L.K.; Wijesinghe, W.A.N.D.The intervention in the time period of pregnancy and early childhood plays a prominent role in order to fulfill our wishes on Sri Lankan child population. Maternal protection during the pregnancy period is crucial as it directly affects to the development of the child fatality. In relation to study, child’s body weight at birth is considered as body mass Index (BMI) for the proper growth of the child the birth must be at least 2500g and births below 2500g weight is considered as low birth weight and those kids may not properly develop and immune to disease are in low level. It has taken Galle District Mahamodara maternity hospital pregnant mothers who delivered their babies on February 2017 as the population. According to that it has selected 289 pregnant in line with stratified random sampling method and gathered primary data with a questionnaire. The relevant data has been collected day after the babies’ birth and continued for the entire February month. The selected population comprises of 4 wards of post-delivery and samples were collected in line with the percentage representing every ward. Following are the identified independent variables Mother’s nutrition, Average family income, Employment of mother, Number of children mother feeds, Mother’s age, Number of family members, Mother’s educational level, Diabetic condition of mother, and High blood pressure condition of the mother. The dependent variable in the research is the weight of the children. Analyzes were done by using SPSS 10.1 software. According to the study multiple regression analysis has been conducted using an independent variables in order to describe dependent variable, the “child’s birth weight”. Y=𝛽0+𝛽𝑖𝑥𝑖+⋯……………+𝛽𝑘𝑥𝑘+𝜀" i = 1,2,3,……………..,k ' In line with research estimated multiple regression is shown below, BW = 1558.406+ 412.371 BMI+95.648 EL – 218.397 DC' The mother’s nutrition, mother’s educational level, mother’s diabetic condition variables have been identified that affects to child’s birth weight using multiple regression. Considering the studies carried out in different districts in Sri Lanka the above factors proves true. To minimize these negative impacts it is important to launching promotional programs awareness workshops on maternity nutrition, Identifying malnutrition and sick mothers and conduct special medical clinics for them and make aware the family members on pregnancy safety and nutritional needsItem Maternal factors which are affecting for the low birth weight(4th National Research Conference on Applied Social Statistics, Social Statistics Students’ Association, Department of Social Statistics, Faculty of Social Science, University of Kelaniya, Sri Lanka, 2018) Gamage, L.K.; Wijesinghe, W.A.N.D.The intervention in the time period of pregnancy and early childhood plays a prominent role in order to fulfill our wishes on Sri Lankan child population. Maternal protection during the pregnancy period is crucial as it directly affects to the development of the child fatality. In relation to study, child’s body weight at birth is considered as body mass Index (BMI) for the proper growth of the child the birth must be at least 2500g and births below 2500g weight is considered as low birth weight and those kids may not properly develop and immune to disease are in low level. It has taken Galle District Mahamodara maternity hospital pregnant mothers who delivered their babies on February 2017 as the population. According to that it has selected 289 pregnant in line with stratified random sampling method and gathered primary data with a questionnaire. The relevant data has been collected day after the babies’ birth and continued for the entire February month. The selected population comprises of 4 wards of post-delivery and samples were collected in line with the percentage representing every ward. Following are the identified independent variables Mother’s nutrition, Average family income, Employment of mother, Number of children mother feeds, Mother’s age, Number of family members, Mother’s educational level, Diabetic condition of mother, and High blood pressure condition of the mother. The dependent variable in the research is the weight of the children. Analyzes were done by using SPSS 10.1 software. According to the study multiple regression analysis has been conducted using an independent variables in order to describe dependent variable, the “child’s birth weight”. Y=𝛽0+𝛽𝑖𝑥𝑖+⋯……………+𝛽𝑘𝑥𝑘+𝜀" i = 1,2,3,……………..,k ' In line with research estimated multiple regression is shown below, BW = 1558.406+ 412.371 BMI+95.648 EL – 218.397 DC' The mother’s nutrition, mother’s educational level, mother’s diabetic condition variables have been identified that affects to child’s birth weight using multiple regression. Considering the studies carried out in different districts in Sri Lanka the above factors proves true. To minimize these negative impacts it is important to launching promotional programs awareness workshops on maternity nutrition, Identifying malnutrition and sick mothers and conduct special medical clinics for them and make aware the family members on pregnancy safety and nutritional needsItem Risk factors for poor blood pressure control among hypertensive patients attending medical clinics teaching hospital, Batticaloa(Research Centre for Social Sciences, Faculty of Social Sciences, University of Kelaniya, Sri Lanka, 2016) Karthijekan, K.; Kartheepan, K.High Blood Pressure is one of the major risk factors for Coronary Heart Disease and Cerebrovascular Disease. It is estimated that one quarter of all the adults in the world have hypertension (HT). HT is responsible for at least 45% of deaths due to heart disease, and 51% of deaths due to stroke. The aim of this study is to identify the risk factors for poor blood pressure control among HT patients who attending medical clinics Teaching Hospital Batticaloa. This was a descriptive cross sectional study carried out among 168 HT patients. Simple random sampling method was used to select sample. Interviewer administered questionnaire was used to collect data on socio-demographic and life style practices and anthropometrics measurement were taken by the investigator. Patient’s clinical record was used to assess the lipid profile and blood pressure measurement. Among the 168 patients 33.3% were controlling their blood pressure in normal level. 39.3 % of them were male and 60.7 % were female. 64.9 % of them were Tamil, 26.8% and 8.3% were Muslims and Burgers respectively. Among them 17.9% had no formal education, 40.5%, 28.6%, 20.8%, 8.9% and 19% had family history of HT, overweight and obese, currently smoking and drinking habits were respectively. Mean value of systolic blood pressure, diastolic blood pressure, triglyceride, HDL, LDL and cholesterol level among patients were 137.57 ± 10.54 mmHg, 92.23 mmHg ± 04.63 mmHg, 148.28 ± 18.04 mg/dl, 51.96 ± 08.78 mg/dl, 88.06 ± 18.41 mg/dl and 193.51 ± 28.19 mg/dl respectively. 72.6% patients were aware that HT can cause complications. There was a significant association between control of hypertension and education (P =0.000), occupation (P =0.000), income P =0.000), exercise (P =0.04), meal type (P =0.04), and body mass index (P =0.043). Health education programs have to be done for public regarding the primary prevention and consequences of HT, especially adults of 51-70 years age group, who were more vulnerable.