Objectives: The global prevalence of psychiatric disturbances is rising, detrimentally affecting the quality of care and treatment outcomes for individuals, particularly those with diabetes.This study investigated the association of risk factors for psychiatric disturbances among productive-age patients with diabetes (ages 30−59 years), considering sociodemographic characteristics and co-existing diseases. The risk factors considered included sociodemographic factors (e.g., residence, age, sex, marital status, education, and occupation) and co-existing diseases (e.g., hypertension, heart disease, stroke, renal failure, rheumatism, asthma, and cancer). Methods: This cross-sectional study utilized data from the 2018 Indonesian National HealthSurvey (Riskesdas). The study population comprised respondents aged between 30 and 59years who had diabetes and had completed the 20-question self-reporting questionnaire (SRQ-20). After the exclusion of incomplete SRQ-20 data, the sample included 8,917 respondents.Data were analyzed using logistic regression. Results: Approximately 18.29% of individuals with diabetes displayed symptoms indicative of psychiatric disturbances. After adjusting for sociodemographic factors such as age, sex,education level, occupation, marital status, and place of residence, patients with diabetes who had co-existing conditions such as hypertension, heart diseases, rheumatic disorders, asthma, or cancer had a higher risk for developing psychiatric disturbances than those with diabetes alone (adjusted odds ratio, 6.67; 95% confidence interval, 4.481−9.928; p < 0.001). Conclusion The elevated risk of psychiatric disturbances among patients with diabetes who had comorbidities underscores the importance of addressing mental health issues in the management of diabetes, especially in patients with concurrent disease conditions.

Objectives: Asthma represents a significant global health burden, with exacerbations impacting quality of life. Although risk factors for asthma exacerbation (AE) have been identified, data specific to Indonesia remain scarce. We investigated risk factors for AE among Indonesian adolescents and adults. Methods: A cross-sectional analysis of the 2018 National Health Survey was conducted, including Indonesian participants aged 15 and older with diagnosed asthma. Logistic regression was employed to identify risk factors for AE. Results: A total respondents aged 15 years or older were 706 689 participants. The prevalence of asthma was 2.6% (18 574 participants). Among individuals with asthma, 59.7% experienced exacerbation, and 21.4% reported symptoms indicating emotional distress (ED). Both ED and diagnosed heart disease (DHD) were linked to increased odds of AE, with adjusted odds ratios (aORs) of 1.27 (95% confidence interval [CI], 1.18 to 1.37) and 1.21 (95% CI, 1.06 to 1.38), respectively. Being diagnosed with asthma at age 15 or older was associated with an aOR of 1.56 (95% CI, 1.45 to 1.66). Those with lower socioeconomic status (SES) also faced comparatively high risk (aOR, 1.37; 95% CI, 1.23 to 1.52). In contrast, physical activity was inversely related to AE (aOR, 0.72; 95% CI, 0.64 to 0.81). Conclusions ED, DHD, lower SES, and later-onset asthma were identified as significant risk factors for AE. This underscores the need for comprehensive asthma management strategies that prioritize mental health, cardiovascular health, and early intervention. Addressing these factors could substantially reduce the burden of AE in Indonesia. Further longitudinal studies are necessary to elucidate the causal relationships involved and evaluate the effectiveness of targeted interventions.

Objectives: Asthma represents a significant global health burden, with exacerbations impacting quality of life. Although risk factors for asthma exacerbation (AE) have been identified, data specific to Indonesia remain scarce. We investigated risk factors for AE among Indonesian adolescents and adults. Methods: A cross-sectional analysis of the 2018 National Health Survey was conducted, including Indonesian participants aged 15 and older with diagnosed asthma. Logistic regression was employed to identify risk factors for AE. Results: A total respondents aged 15 years or older were 706 689 participants. The prevalence of asthma was 2.6% (18 574 participants). Among individuals with asthma, 59.7% experienced exacerbation, and 21.4% reported symptoms indicating emotional distress (ED). Both ED and diagnosed heart disease (DHD) were linked to increased odds of AE, with adjusted odds ratios (aORs) of 1.27 (95% confidence interval [CI], 1.18 to 1.37) and 1.21 (95% CI, 1.06 to 1.38), respectively. Being diagnosed with asthma at age 15 or older was associated with an aOR of 1.56 (95% CI, 1.45 to 1.66). Those with lower socioeconomic status (SES) also faced comparatively high risk (aOR, 1.37; 95% CI, 1.23 to 1.52). In contrast, physical activity was inversely related to AE (aOR, 0.72; 95% CI, 0.64 to 0.81). Conclusions ED, DHD, lower SES, and later-onset asthma were identified as significant risk factors for AE. This underscores the need for comprehensive asthma management strategies that prioritize mental health, cardiovascular health, and early intervention. Addressing these factors could substantially reduce the burden of AE in Indonesia. Further longitudinal studies are necessary to elucidate the causal relationships involved and evaluate the effectiveness of targeted interventions.

Objectives: Asthma represents a significant global health burden, with exacerbations impacting quality of life. Although risk factors for asthma exacerbation (AE) have been identified, data specific to Indonesia remain scarce. We investigated risk factors for AE among Indonesian adolescents and adults. Methods: A cross-sectional analysis of the 2018 National Health Survey was conducted, including Indonesian participants aged 15 and older with diagnosed asthma. Logistic regression was employed to identify risk factors for AE. Results: A total respondents aged 15 years or older were 706 689 participants. The prevalence of asthma was 2.6% (18 574 participants). Among individuals with asthma, 59.7% experienced exacerbation, and 21.4% reported symptoms indicating emotional distress (ED). Both ED and diagnosed heart disease (DHD) were linked to increased odds of AE, with adjusted odds ratios (aORs) of 1.27 (95% confidence interval [CI], 1.18 to 1.37) and 1.21 (95% CI, 1.06 to 1.38), respectively. Being diagnosed with asthma at age 15 or older was associated with an aOR of 1.56 (95% CI, 1.45 to 1.66). Those with lower socioeconomic status (SES) also faced comparatively high risk (aOR, 1.37; 95% CI, 1.23 to 1.52). In contrast, physical activity was inversely related to AE (aOR, 0.72; 95% CI, 0.64 to 0.81). Conclusions ED, DHD, lower SES, and later-onset asthma were identified as significant risk factors for AE. This underscores the need for comprehensive asthma management strategies that prioritize mental health, cardiovascular health, and early intervention. Addressing these factors could substantially reduce the burden of AE in Indonesia. Further longitudinal studies are necessary to elucidate the causal relationships involved and evaluate the effectiveness of targeted interventions.

Purpose: This study aimed to determine factors associated with changes in adherence to hypertension management (medication adherence and blood pressure control) in respondents with hypertension before and during the COVID-19 pandemic in Bogor city, Indonesia. Methods: An observational study was conducted using two sources of data (before and during COVID-19 pandemic). Data before the pandemic were derived from the 2019 Cohort Study of non-communicable disease risk factors. Data during the pandemic were derived from an online survey conducted in September and October 2020. Information from 880 participants were analyzed. The dependent variable was the change in adherence to hypertension management before and during the COVID-19 pandemic. Multivariate analysis was performed using logistic polynomial regression. Results: Respondents who adhered to hypertension management decreased from 82.0% in 2019 to 47.8% in 2020. The likelihood of non-adherence (respondents who did not adhere to hypertension management both before and during the pandemic) increased in respondents below 55 years old, who did not own any healthcare insurance, who were not obese, and who had no other comorbidities. In the partial adherence group (respondents who did not adhere to hypertension management either before or during the pandemic), we found that most respondents adhered before the pandemic but no longer adhered during the COVID-19 pandemic. We found an increased partial adherence in young and highly educated respondents. Conclusions Efforts to improve adherence to hypertension management after the COVID-19 pandemic should target those who were young, highly educated, who did not have any healthcare insurance, and who did not perceive themselves as not having comorbidities.

Objectives: The aim of this study was to investigate the relationship between the number of patient comorbidities and the delays in seeking treatment for coronary heart disease (CHD). Methods: This longitudinal study utilized secondary data from the Non-Communicable Disease Risk Factor (NCDRF) cohort study conducted in Bogor City. Individuals who participated in the NCDRF cohort study and were diagnosed with CHD within the 6-year study period met the inclusion criteria. Respondents who were not continuously monitored up to the 6th year were excluded. The final sample included data from respondents with CHD who participated in the NCDRF cohort study and were monitored for the full 6-year duration. The final logistic regression analysis was conducted on data collected from 812 participants. Results: Among the participants with CHD, 702 out of 812 exhibited a delay in seeking treatment. The risk of a delay in seeking treatment was significantly higher among individuals without comorbidities, with an odds ratio (OR) of 3.5 (95% confidence interval [CI], 1.735–7.036; p<0.001). Among those with a single comorbidity, the risk of delay in seeking treatment was still notable (OR, 2.6; 95% CI, 1.259–5.418; p=0.010) when compared to those with 2 or more comorbidities. These odds were adjusted for age, sex, education level, and health insurance status. Conclusion The proportion of patients with CHD who delayed seeking treatment was high, particularly among individuals with no comorbidities. Low levels of comorbidity also appeared to correlate with a greater tendency to delay in seeking treatment.