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Background:Obesity has been defined as a global epidemic and triples the risk of death. The impact is not only medically, but also psychologically as well as the disappearance of productivity and economic costs. Based on Riskesdas 2018, the prevalence of obesity had reached 21.8%. This prevalence tends to increase after the age of 35 years and above and then decreases after the age of 60 years and over. The main objective of this research is to find out the dominant factors in the incidence of obesity in the Indonesian population aged 36-65 years. Methods:This research is a quantitative study with a cross-sectional design using secondary data of IFLS 2014. Factors analyzed in relation to the incidence of obesity are age, gender, ethnicity, marital status, education, employment, income, eating habits of carbohydrates, eating habits protein, eating habits, sources of fat, eating habits, eating habits, heavy physical activity, moderate physical activity, walking physical activity, smoking habits, area of residence, height (stunting). Results:Based on the results of multivariate analysis with multiple logistic regression showed determinant factors of obesity are age, sex, education, occupation, income, eating habits of protein, , eating habits of fruit, smoking habits and area of residence. Conclusions: The dominant factor in the incidence of obesity is gender, women have a risk of becoming obese 2,1 times higher than men
Central obesity is a condition where there is an accumulation of fat in the abdomen. Central obesity is associated with the risk of non-communicable diseases such as type II diabetes mellitus, hypertension, dyslipidemia, metabolic syndrome, and cancer. The prevalence of central obesity is known to increase in both developed and developing countries. As many as 40.2% of individuals in the world are estimated to have central obesity. Indonesia is a developing country with an increasing prevalence of central obesity with an increase from 2007, 2013, and 2018 according to riskesdas data, respectively, by 18%, 26%, and 31%. The increase in central obesity is associated with economic development and urbanization leading to unfavorable changes in consumption habits of high-calorie foods and sugary drinks, physical activity, sedentary behavior, and stress. Riskesdas 2018 data states that the prevalence of central obesity in urban areas is higher than the national prevalence, which is 35%. This study aims to further analyze the dominant factors in the incidence of central obesity in the population aged 25-64 years in urban areas of Indonesia. There were 194,049 riskesdas 2018 respondents who were involved in this study. Data analysis used chi-square bivariate test and multiple logistic regression multivariate test on the applicationThe results showed that there were 15 variables that were significantly associated with the incidence of central obesity, including: age, gender, education level, employment status, emotional mental health, consumption of sweet foods, sugary drinks, fatty foods, soft drinks, fruit and vegetable consumption, alcohol consumption, physical activity, and smoking habits (p-value <0,05). Female gender is known as the dominant factor in the incidence of central obesity in the population aged 25-64 years in urban areas of Indonesia (p-value 0,0005). The OR of the incidence of central obesity was 4.06 (95%CI: 3,947-4,175) higher in the female respondent group, after being controlled by other variables. Thus, people in urban areas, especially women, are urged to increase awareness regarding central obesity. The public is encouraged to reduce the consumption of risky foods, do exercise regularly, avoid stress, and avoid smoking and alcohol consumption. Health agencies are expected to help the community by providing nutrition education and promotion of health related to central obesity.
Childhood obesity has many negative short-term and long-term impact on phycialhealth, psycological health, and social life. Children with overweight and obesity are morelikely to have risk for chronic disease, such as asthma, sleep apnea, bone problems,diabetes, and blunt disease. This cross-sectional study with 3669 respondents todetermine the proportion differences in overweight based on its risk, such as fooddiversity, food consumption, sex, maternal nutritional status, maternal education, andurban-rural living areas. The result showed that 18% of children at 7-12 age wereoverweight based on IFLS V 2014, this found as much as national percentage in 2018,20%. Bivariate analysis showed that there are significant correlation between fooddiversity, food consumption (fruit, meat, egg, milk, and oil), maternal nutritional status,maternal education, and urban-rural living areas. There are not significant correlationbetween food consumption (cereal, white tubers root, vegetables, fish, sweet, andcondiments). Multivariate analysis showed that maternal education is the dominantfactors of overweight at 7-12 age children in Indonesia.Key words:Overweight, Food diversity, Food Consumption, Sex, Maternal Nutritional Status,Maternal Education, Urban-Rural Living Areas, 7-12 age children.
Dislipidemia adalah suatu gangguan yang mengacu pada kadar lipid yang tidak normal dalam aliran darah yang ditandai dengan ditemukannya salah satu tanda keabnormalan kadar lipid darah, meliputi kadar kolesterol total, LDL, trigliserida, atau HDL. Prevalensi dislipidemia pada usia dewasa (19–49 tahun) di Indonesia tergolong tinggi. Penelitian ini bertujuan untuk mengetahui faktor dominan dan faktor-faktor yang berhubungan dengan kejadian dislipidemia pada penduduk usia 15–49 tahun di Indonesia. Penelitian ini merupakan penelitian kuantitatif dengan desain studi potong lintang menggunakan data sekunder SKI 2023. Analisis data yang dilakukan pada penelitian ini adalah analisis univariat dengan distribusi frekuensi, analisis bivariat menggunakan uji kai kuadrat, dan analisis multivariat menggunakan regresi logistik ganda. Hasil penelitian menunjukkan bahwa dari 15.827 subjek, 90,7% responden laki-laki dan 80,2% responden perempuan mengalami dislipidemia. Analisis bivariat pada responden laki-laki menunjukkan hasil yang signifikan antara usia, status pekerjaan, tingkat pendidikan, indeks massa tubuh, hipertensi, dan obesitas sentral dengan kejadian dislipidemia (p-value <0,05). Analisis bivariat pada responden perempuan menunjukkan hasil yang signifikan antara usia, wilayah tempat tinggal, tingkat pendidikan, konsumsi makanan berlemak, minuman manis, minuman beralkohol, indeks massa tubuh, diabetes melitus, hipertensi, dan obesitas sentral dengan kejadian dislipidemia (p-value <0,05). Analisis multivariat pada responden laki-laki menunjukkan bahwa indeks massa tubuh merupakan faktor dominan (p-value = 0,000; OR 2,3; 95% CI : 1,752-3,249), sedangkan pada responden perempuan menunjukkan bahwa interaksi indeks massa tubuh dan konsumsi makanan berlemak merupakan faktor dominan (p-value = 0,038; OR 3,4; 95% CI : 1,070-10,834).
Central obesity is one of the increasing health problems in the middle-adult age group. Lifestyle factors such as nutrient intake, physical activity, sleep duration, and emotional mental health are thought to contribute to this condition. This study aims to analyze the dominant factors in the incidence of central obesity in adults aged 40–59 years in Kemayoran District, Central Jakarta. The study used a Cross Sectional with a quantitative approach and involved primary data collection through interviews and anthropometric measurements. The results of the multivariate test showed that excessive fat intake was the most dominant factor in the incidence of central obesity (p = 0.018; OR = 2.940; 95% CI = 1.206–7.168). Respondents with excessive fat intake had a 2.94 times greater risk of experiencing central obesity compared to respondents who were not excessive. Excessive fat consumption will be easily stored as visceral fat in the abdominal cavity, which directly contributes to an increase in waist circumference. Other factors such as energy intake, carbohydrates, protein, fiber, physical activity, sleep duration, and emotional mental health were also included in the multivariate model. These findings emphasize the importance of controlling fat consumption as a primary strategy for preventing central obesity in this age group.
