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Underweight is one form of undernutrition that is often experienced by children.Characteristics of children, parents, and the environment were factors affecting theincidence of underweight in children, especially aged 24-59 months. This study aimedto find out the dominant factors affecting underweight in children aged 24-59 months inJava Island. This cross-sectional study used secondary data from IFLS V (2014). Totalrespondents of this study were 1,270 children aged 24-59 months who lived in JavaIsland. Z-scores for weight-for-age was determined and classified using WHOAnthroPlus software, while SPSS software was used to process the data. This studyfound that 20.2% children in Java were underweight. Variables that significantlyassociated (p-value <0,05) with underweight were LBW, ARI, diarrhea, frequency ofeating milk and its products, education level of father and mother, and underweightfather. While gender, gestational age, basic immunization, anemia status, exclusivebreastfeeding history, other eating frequencies, maternal nutritional status, smokinghabits of fathers and mothers, and area of residence were not significantly associatedwith underweight (p-value >0,05). Based on multivariat analysis, low frequency ofeating milk and dairy product was the dominant factor in this study (OR=1,798).Key words:children under five; food consumption; IFLS 2014; Indonesia; underweight.
Hypertension is a causes the high prevalence of cardiovascular disease andestimated 9.4 million or 95% to become the world's leading cause of deaths. Thisstudy was to identify factors associated with hypertension in adults age groups inselected urban and rural areas. Both of these areas have a high prevalence ofhypertension, which amounted to 34,9% in urban areas and 43,1% in rural areas.Study design was an observational cross-sectional quantitative used the NationalStrategy in 2011 with 361 samples of person. The results showed that 39,9%respondents with hypertensive and 60.7% of respondents are not hypertensive.There were significant association beetwen age, sex, education level,hyperglycemia, fast food consumption and coffee. Institutions are hoped tomotivate hypertension patient to check blood sugar, and provide nutritioneducation and health which are effective and efficient.Keywords: hypertension, urban, rural, and adults
Dyslipidemia is a disorder of lipid metabolism which became one of themajor risk factors for cardiovascular disease. This study aims to identify factorsassociated with dyslipidemia at adult age groups in the city of Depok and CentralLampung regency. The prevalence of dyslipidemia were found to be quite high at48.2% in Depok and 51.8% in Central Lampung regency. The study design wascross-sectional, using research data of the National Strategy in 2011 with 372samples.Body mass index (p = 0,014), central obesity in men (p = 0,008), andcentral obesity in women (p = 0,002) had a significant association withdyslipidemia.Keywords: dyslipidemia, body mass index, central obesity, urban, rural.
High percentage of body fat indicates that a person obese and have animpact on health, especially the risk of degenerative diseases. Overweight andobesity has become a major nutritional problem that faced not only in developedcountries but also on developing countries.This study aims to determine the factors related to percent body fat in adultin urban and rural selected areas which in this study are Kota Depok and KabupatenLampung. This study using cross sectional study design based on research data ofthe National Strategy on Non-Communicable Disease Risk Factors in 2011 with asample of 353 adults.The results showed that in general 49.9% in adult population in urban andrural areas have excess body fat percentage, while in the urban area there are 76.8%of the population have excess body fat percentage where the figure is much largerthan the percentage in rural area which is 26.5%. Variables that have a significantrelationship with the percent of body fat are region of residence (urban and rural),gender, level of education, nutrition status by BMI, energy intake, carbohydrateintake, protein intake, and smoking status.Key words: Body fat percentage, urban, rural, obesity.
Many studies confirm that obesity is associated with the risk of type2 diabetes, but not many longitudinal studies have observed the incidence of obesity in type2 diabetes. This study aims to determine trends and determinant of obesity in type2 diabetes aged 35-65 years in Bogor City. A longitudinal design study using secondary data from Cohort Study of NCD year 2015-2017. Time series analysis for 3 years found that the trend of obesity prevalence in type2 diabetes decreased from 71.6%, 69.1%, to 64.2%. The trend of risk factors for the incidence of obesity, such as energy, fat intake and physical activity, increased significantly in 2017. The reduction in the prevalence of obesity is associated with changes in healthy lifestyle (intentional weight loss) and due to poor glycemic control or other disease (unintentional weight loss). The results of determinant analysis of the incidence of obesity are known in year 2015 fat intake is a dominant factor (OR:4.88; 95% CI:1.48-16.06) also influenced by gender, with carbohydrate intake as a confounder. In 2016 fat intake was a dominant factor (OR:5.71; 95% CI:1.48-22.03) also influenced by carbohydrate intake, with physical activity, stress, smoking habits and gender as a confounder. In 2017 carbohydrate intake was a dominant factor (OR:6.84; 95% CI:2.13- 21.98) with fat intake as a confounder.
