Malnutrition is currently an unsolved health problem in the work area of Kori Public Health Center, the incidence of malnutrition has increased from 2017-2019. This is a case-control study that aimed to determine parenting, history of infectious diseases, family income, number of family members related to malnutrition in children under five. The sample size is 51 for each case and control. The dependent variable is malnutrition and the independent variables are parenting, history of infectious diseases, family income, and the number of family members. The results show that parenting (p-value 0.004 and OR 12,583), history of infectious diseases (p-value 0.000 and OR 8.854), and family income (p-value 0.000 and OR 10,382) are related to malnutrition of children under five. Parenting is the most influential variable so that Kori Public Health Center should provide counseling to the mothers, especially the mothers of malnourished children, about health care including supplying nutritious food for children.
Working as an employee at the Department of Youth and Sports (Dispora), NTT province is likely to increase the risk of sedentary activities. A sedentary lifestyle can contribute to obesity. This study analyzed the relationship between physical activity, dietary patterns, sex, age, and the body mass index (BMI) of the Dispora employees in Indonesia's East Nusa Tenggara Province. The study used a cross-sectional study design. The chosen sample consisted of 60 Department of Youth and Sports employees, selected using a simple random sampling technique. This research directly assessed each participant's BMI, while all other data collated from questionnaires, including IPAQ, food recall (2 x 24 hours), and FFQ. In total, 51.6% of employees reported less physical activities, high dietary intake (45.0%), good consumption of foods (45.0%), high variety of foods (51.7%), were not at high risk of age (51.7%), and obese (55.0%). The results of the statistical analysis tests using chi-square and fisher's exact tests concluded that physical activity (p-value = 0.000) and energy intake (p-value = 0.000) had significant effects on BMI, while frequency of eating (p-value = 0.174), the variety of food consumed (p-value = 0.104), sex (p-value = 0.299), and age (p-value = 0.775) had no effect on BMI. Employees should maintain a normal BMI, sufficient physical activity, balanced nutrition, and regular check-ups.
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