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1.
Nutrients ; 15(2)2023 Jan 12.
Article in English | MEDLINE | ID: mdl-36678259

ABSTRACT

Stunting is a worldwide public health concern, including in Indonesia. Even when living in an urban area with urban characteristics, it is still possible for children to be at risk of stunting. The aim of this study was to determine the sociodemographic and healthcare factors associated with stunting in a province experiencing tourism growth, namely, Bali. Cross-sectional data on Bali Province from the Indonesian Basic Health Research Survey (Riskesdas, 2018) were used as the basis for the research analysis. A total of 846 respondents under five years of age were analyzed, indicating a stunting prevalence of 19.0%. Multivariate logistic regression demonstrated low maternal educational attainment (adjustedOR = 1.92; 95% Confidence Interval = 1.24-2.97), the inadequate consumption of iron tablets during pregnancy (adjustedOR = 1.56; 95% Confidence Interval = 1.08-2.24), and no extended family (adjustedOR = 1.55; 95% Confidence Interval = 1.07-2.26) as being significantly associated with stunting. According to these findings, sociodemographic and healthcare factors are associated with stunting in urban Bali. Improving women's education, ensuring sufficient iron tablets are consumed during pregnancy, and encouraging the involvement of the extended family in childcare are recommended.


Subject(s)
Delivery of Health Care , Growth Disorders , Pregnancy , Humans , Child , Female , Infant , Child, Preschool , Indonesia/epidemiology , Cross-Sectional Studies , Growth Disorders/epidemiology , Educational Status , Prevalence
2.
Asia Pac J Clin Nutr ; 31(3): 415-421, 2022.
Article in English | MEDLINE | ID: mdl-36173213

ABSTRACT

BACKGROUND AND OBJECTIVES: The problem of metabolic syndrome among non-obese older people is often ignored. This study examines the risk factors for metabolic syndrome in non-obese older people in Indonesia. We analyzed information collected from 3323 non-obese older respondents interviewed in the 2018 Basic Health Research program. METHODS AND STUDY DESIGN: The outcome variable was the metabolic syndrome consisting of three components: high lipid profile, diabetes mellitus, and hypertension. The potential predictors analyzed were socio-demographic and behavioral factors consisting of psychomotor (cigarette smoking + physical activity) and dietary behavior (consumption of fat + fruit/vegetable). Multinomial logistic regression analysis was employed to assess metabolic syndrome risk factors in non-obese older people. RESULTS: We found that the proportion of non-obese older people in Indonesia with metabolic syndrome was 83.8% (95%CI: 82.4-85.2%). The odds of developing 2-3 components of metabolic syndrome increased in respondents from rural areas (aOR=1.26, p=0.033) and those with moderate psychomotor behavior problems (current smoker/ex-smoker with sufficient physical activity) (aOR=1.48, p=0.002). CONCLUSIONS: Health promotion activities are vital to improve awareness and promote healthy behaviors, specifically for those living in rural areas and smoking cigarettes.


Subject(s)
Metabolic Syndrome , Aged , Humans , Indonesia/epidemiology , Lipids , Metabolic Syndrome/epidemiology , Prevalence , Risk Factors
3.
PLoS One ; 17(3): e0264685, 2022.
Article in English | MEDLINE | ID: mdl-35239719

ABSTRACT

BACKGROUND AND OBJECTIVES: Anemia remains a major public health problem worldwide. This study examined the relationship between anemia and the nutritional status of non-pregnant women aged 19-49 years in Indonesia. METHODS AND STUDY DESIGN: The data were derived from the 2018 Basic Health Research Data of Indonesia. We used information from 11,471 non-pregnant women aged 19-49 years. The dependent variable was anemia (hemoglobin level <12 g/dL). The independent variable was women's nutritional status, a combined indicator of body mass index (BMI) and mid-upper arm circumference (MUAC). Our analysis controlled for women's age, education, physical activity, fruit and vegetable consumption, and the presence of communicable or non-communicable diseases. We performed logistic regression analyses. RESULTS: The prevalence of anemia in non-pregnant women aged 19-49 years was 22.3% (95% confidence interval [CI]: 21.4-23.3). Women with overweight and obesity were less likely to develop anemia than those with a normal BMI, regardless of their MUAC score. The highest odds for developing anemia were observed in underweight women with low MUAC scores (adjusted odds ratio [aOR] = 2.83, 95%CI: 2.19-3.68). Higher odds ratios were also observed in women with insufficient physical activity, despite their sufficient consumption of fruits or vegetables (aOR = 1.87, 95%CI: 1.06-3.28). However, women who had been diagnosed with a non-communicable disease had a reduced likelihood of developing anemia (aOR = 0.75, 95%CI: 0.67-0.83). CONCLUSIONS: Strengthening health promotion activities to improve nutritional status and healthy behaviors, particularly a healthy diet, remains important for women in Indonesia to reduce the prevalence of anemia and improve their overall health status.


Subject(s)
Anemia , Noncommunicable Diseases , Anemia/diagnosis , Anemia/epidemiology , Arm , Body Mass Index , Female , Humans , Indonesia/epidemiology , Nutritional Status , Risk Factors
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