Strain identification of Mycobacterium tuberculosis in multidrug-resistant tuberculosis (MDR-TB) patients at Undata Hospital, Palu, Central Sulawesi.

MDR-TB is a tuberculosis disease resistant to the two most effective anti-TB drugs, rifampin and isoniazid. MDR-TB is a threat to TB control. This study aims to identify the Mycobacterium tuberculosis strain in MDR-TB patients at Undata Hospital in Palu, Central Sulawesi. This type of research is descriptive and observational with a cross-sectional design. The study was conducted in Palu City, Donggala Regency, and Sigi Regency from April-June 2021. The sample in this study consisted of 22 patients who had undergone MDR-TB treatment from 2019 to 2020. The results showed that 55% of the patients with MDR-TB lived in Palu City, 27% in Donggala Regency, and 18% in Sigi Regency. Out of the 22 patients, 13 were men (59%) and nine were women (41%). Based on the results of the examination of Mycobacterium tuberculosis culture, three samples from patients with MDR-TB were positive for M. tuberculosis. The results of the spoligotyping examination showed that the strain belonged to the Beijing family. Identifying the type of M. tuberculosis strain through spoligotyping examination should be carried out in TB patients who have not undergone MDR-TB treatment or those who have failed treatment and are still found to be positive for M. tuberculosis bacteria.

The prevalence and distribution of risk factors for depression and emotional mental disorders in the elderly in Indonesia.

BACKGROUND: Depression is a mental health disorder. The prevalence of mental health disorders in the elderly is high. AIMS: This study was to determine the mental status depression and emotional of the elderly based on their characteristics. METHODS: This study was a further analysis of Basic Health Research 2018 data. The population was all households from all districts/cities in 33 provinces in Indonesia with a cross-sectional design. The sample was all elderly, with a total sample of 82,304,000 people. The respondents included young elderly (60-69 years), middle elderly (70-79 years), and old elderly (>80 years). RESULT: Depression is experienced by most of elderly aged 60 to 69 years as many as 3,756,384 respondents (59.72%), females as many as 3,885,191 respondents (61.77%), living in urban areas, as many as 3,147,131 respondents (50.03%), graduated from elementary school as many as 2,052,22 respondents (32.63%), not working as many as 3,535,241 respondents (56.21%), and quintile one expenditure level as many as 1,532,358 respondents (24.36%). CONCLUSIONS: Emotional disorders of depression in elderly are due to the adaptation process to physical and psychosocial changes. Family support is a must to improve elderly's quality of life on mental health aspects, especially depression. Furthermore, better treatment by medical personnel is required.

Growing Up Unequal: Disparities of Childhood Overweight and Obesity in Indonesia's 514 Districts.

BACKGROUND: Childhood obesity is a major public health concern as it increases the risk of premature death and adult disability. Globally, the latest estimates showed that more than 340 million children and adolescents between the ages of 5 and 19 were overweight or obese in 2016. This study aimed to investigate the disparities in childhood overweight and obesity across 514 districts in Indonesia, based on geographic and socioeconomic factors. METHODS: Geospatial and quantitative analyses were performed using the latest Indonesian Basic Health Survey data from 2018. Dependent variables were rates of overweight and obesity among children aged 5-17 years including by gender. RESULTS: This study found that the rates of overweight were 17.2%, 17.6%, and 16.8% among all children, boys, and girls, while the rates of obesity were 7.0%, 7.9%, and 6.1%, respectively. Boys were 1.30 times more likely to be obese than girls, while overweight was similar between both sexes. Urban cities had significantly higher prevalence of childhood overweight and obesity compared with rural districts by up to 1.26 and 1.32 times, respectively. In addition, the most developed region had significantly higher prevalence of childhood overweight and obesity than the least developed region by up to 1.37 and 1.38 times, respectively. With regard to socioeconomic factors, our analysis demonstrated a notable disparity in the prevalence of childhood overweight and obesity across income quintiles. Specifically, the wealthiest districts exhibited a 1.18 times higher prevalence of overweight and obesity among all children compared with the poorest districts. This association was particularly pronounced among boys; in the richest quintile, the prevalence of overweight and obesity was 1.24 and 1.26 times higher, respectively, in comparison to the poorest income quintile. In contrast, district-level education appears to exhibit an inverse relationship with the prevalence of childhood overweight and obesity, although the findings were not statistically significant.