1.Factors related to low birth weight in Indonesia
Nikmatur Rohmah ; Masruroh Masruroh ; Nur Baharia Marasabesy ; Nasrun Pakaya ; Joko Prasetyo ; Saiful Walid ; Agung Dwi Laksono
Malaysian Journal of Nutrition 2022;28(No.2):253-261
Introduction: Previous studies have reported that low birth weight (LBW) correlates
with neonatal death and 15 - 20% of all births worldwide are LBW. This research
aimed to analyse the factors related to LBW in Indonesia. Methods: The authors
collated secondary data from the 2017 Indonesian Demographic and Health Survey
(IDHS). The sample consisted of 17,443 respondents. Besides LBW as the dependent
variable, the independent variables consisted of maternal age, residence, wealth,
education, employment, marital status, health insurance, antenatal care (ANC)
visits, smoking behaviour, and gender of the baby. The final stage employed binary
logistic regression. Results: Women aged 35-39 years were 0.688 times less likely
than women aged 15-19 years to give birth to LBW babies. The wealthiest women
were 0.712 times less likely than the poorest women to give birth to LBW babies.
Women with higher education levels were 0.670 times less likely to have a LBW baby
than women with no education level. Women who attended ≥4 ANC visits were 0.829
times less likely to have LBW babies than women who attended <4 ANC visits. Baby
girls were 1.161 times more likely than baby boys to be born with LBW. Conclusion:
The study concluded that the factors related to LBW in Indonesia were maternal
age, wealth, education, ANC, and gender of the baby.
2.Barrier to contraceptive use among childbearing age women in rural Indonesia
Nikmatur Rohmah ; Ah. Yusuf ; Rachmat Hargono ; Agung Dwi Laksono ; Masruroh
Malaysian Family Physician 2021;16(3):16-22
Introduction: The contraceptive prevalence rate in Indonesia has not experienced much improvement, which has led to an increase in the number of pregnancies. This study aimed to analyse the barriers to contraception use among women of childbearing age in rural Indonesia.
Methods: This study used a cross-sectional design with data from the Indonesian Demographic and Health Survey (IDHS) of 2017. The independent variables were age, employment status, education, marital status, wealth status, health insurance and parity. The dependent variable was the use of contraception. The statistical significance was set at p <0.05 using bivariate analysis and binary logistic regression.
Results: The study showed that the age group of 45–49 years (OR 0.199; 95% CI 0.149–0.266), secondary education (OR 2.227; 95% CI 2.060–2.514), women married/living with their partner (OR 43.752; 95% CI: 35.484–53.946), wealth status: middle (OR 1.492; 95% CI 1.400–1.589) and multipara (OR 2.524; 95% CI: 2.328–2.737) exhibited the increased use of contraception among women of childbearing age in rural Indonesia.
Conclusion: The variables proven to represent obstacles to contraceptive use among women of childbearing age in rural Indonesia include old age, no education, no husband/partner, poverty and already having one child.
3.Factors associated with dietary behaviour among patients With Type 2 Diabetes Mellitus in rural Indonesia
Anggraini Dwi Kurnia ; Nur Lailatul Masruroh ; Nur Melizza ; Yoyok Bekti Prasetyo ; Herdianti Nur Hidayani
Journal of the ASEAN Federation of Endocrine Societies 2022;37(2):60-64
Background:
Type 2 Diabetes Mellitus (T2DM) is one of the fastest-growing diseases and most serious major health problems worldwide. Few studies have focused on the association of social support with diabetes-related dietary behaviour.
Objective:
To examine the relationship between social support and dietary behaviour among patients with diabetes in a rural area of Indonesia.
Methodology:
This was a descriptive cross-sectional study that included 120 physically healthy patients above 18 years old with T2DM for at least 6 months. Data analysis was done using a stepwise regression model.
Results:
The mean age was 61.97 years (SD = 7.85, range = 52-74); 86.7% of the participants were females. Social support (β = 0.272, p = <0.001), diabetes medications (β = 0.169, p = 0.003), duration of diabetes (β = 0.118, p = 0.0047), and presence of diabetes complications (β = 0.197, p = 0.008) were significant predictors of dietary behaviour and accounted for 34.2% of the variance.
Conclusions
Social support, diabetes medications, presence of diabetes complications, and duration of diabetes were associated with improved dietary behaviour. Therefore, social support should be considered when designing dietary interventions for patients with type 2 diabetes mellitus.
Shock
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Adrenal Cortex Hormones
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