Objectives
Climate variability, particularly ambient air temperature, is an emerging environmental determinant of blood pressure (BP); however, evidence from tropical low- and middle-income countries (LMICs) remains limited. We examined associations between monthly average ambient temperature with systolic BP (SBP) and diastolic BP (DBP) among adults in Bogor City, Indonesia.
Methods
This longitudinal cohort analysis used secondary data collected between 2011 and 2018 from 1,648 participants with repeated BP measurements (19 assessments over 6 years). Average ambient temperature data were matched to the month of BP measurement. Generalized estimating equations models were used to assess the association between temperature and BP after adjustment for age, sex, education, and socioeconomic status.
Results
Mean ambient temperature ranged from 24.6 °C to 28.9 °C. SBP varied more than DBP and tended to increase as ambient temperature decreased. The overall main effect of temperature on BP was not statistically significant. However, several visit-specific temperature–time interactions were negative and significant, suggesting inverse patterns between lower temperatures and higher SBP or DBP. Marginal effects plots demonstrated time-varying associations, with predicted SBP and DBP differences of approximately −4 to +3 mmHg across follow-up visits at representative temperatures. Socioeconomic status and education were associated with SBP, whereas age and female sex were associated with DBP.
Conclusion
Temperature variations were associated with time-varying BP changes among adults with hypertension in Bogor City during 2011–2018. Although the main temperature effect was non-significant, temperature–time interactions suggested modest inverse patterns within clinically plausible ranges. These findings support the need for updated, multi-site studies in tropical LMIC settings.

Objectives
This study investigated the correlation between food insecurity and infectious diseases among toddlers in Indonesia.
Methods
This research employed a cross-sectional study design using data from the 2021 Indonesian Nutrition Status Survey, which included a sample of 84,115 toddlers. Food insecurity levels were assessed using the food insecurity experience scale, developed by the Food and Agriculture Organization. The dependent variable, infectious disease, was defined as a toddler experiencing 1 or more of the following conditions: acute respiratory infections, diarrhea, pneumonia, measles, or worms. Multivariate analysis was conducted using multiple logistic regression to determine adjusted odds ratios (ORs).
Results
The findings indicate that 23.78% of toddlers experienced at least 1 infectious disease. While more than half of the respondents were food secure, 26.5% faced mild food insecurity, 13.6% moderate food insecurity, and 6.5% severe food insecurity. Toddlers from households experiencing mild, moderate, and severe food insecurity had higher risks of infectious diseases compared to those from food-secure households, with adjusted ORs of 1.367 (95% confidence interval [CI], 1.308–1.428), 1.490 (95% CI, 1.399–1.588), and 1.500 (95% CI, 1.374–1.638), respectively.
Conclusion
In conclusion, more severe food insecurity is correlated with an increased risk of toddlers suffering infectious diseases.

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.