ABSTRACT
Objectives@#The Indonesian government issued large-scale social restrictions (called Pembatasan Sosial Berskala Besar, or PSBB) at the beginning of the coronavirus disease 2019 (COVID-19) pandemic to control the spread of COVID-19 in Jakarta, Bogor, Depok, Tangerang, and Bekasi (Greater Jakarta). Public compliance poses a challenge when implementing large-scale social restrictions, and various factors have contributed to public non-compliance with the regulation. This study aimed to determine the degree of non-compliance and identify the factors that contributed to public non-compliance with the PSBB in Greater Jakarta, Indonesia. @*Methods@#This was a quantitative study with a cross-sectional design. A total of 839 residents of Greater Jakarta participated in this study. Data were collected online using a Google Form, and convenience sampling was undertaken. Univariate and multivariate analyses were performed to explore the relationships between public non-compliance with the PSBB regulation and socio-demographic variables, respondents’ opinion of the PSBB, and social capital. @*Results@#A total of 22.6% of subjects reported participating in activities that did not comply with the PSBB. The variables that most affected non-compliance with the PSBB were age, gender, income, opinion of the PSBB, and social capital. @*Conclusions@#Strengthening social capital and providing information about COVID-19 prevention measures, such as washing one’s hands with soap, wearing masks properly, and maintaining social distancing, is essential. Robust public understanding will foster trust and cooperation with regard to COVID-19 prevention efforts and provide a basis for mutual agreement regarding rules/penalties.
ABSTRACT
Objectives@#The Indonesian government issued large-scale social restrictions (called Pembatasan Sosial Berskala Besar, or PSBB) at the beginning of the coronavirus disease 2019 (COVID-19) pandemic to control the spread of COVID-19 in Jakarta, Bogor, Depok, Tangerang, and Bekasi (Greater Jakarta). Public compliance poses a challenge when implementing large-scale social restrictions, and various factors have contributed to public non-compliance with the regulation. This study aimed to determine the degree of non-compliance and identify the factors that contributed to public non-compliance with the PSBB in Greater Jakarta, Indonesia. @*Methods@#This was a quantitative study with a cross-sectional design. A total of 839 residents of Greater Jakarta participated in this study. Data were collected online using a Google Form, and convenience sampling was undertaken. Univariate and multivariate analyses were performed to explore the relationships between public non-compliance with the PSBB regulation and socio-demographic variables, respondents’ opinion of the PSBB, and social capital. @*Results@#A total of 22.6% of subjects reported participating in activities that did not comply with the PSBB. The variables that most affected non-compliance with the PSBB were age, gender, income, opinion of the PSBB, and social capital. @*Conclusions@#Strengthening social capital and providing information about COVID-19 prevention measures, such as washing one’s hands with soap, wearing masks properly, and maintaining social distancing, is essential. Robust public understanding will foster trust and cooperation with regard to COVID-19 prevention efforts and provide a basis for mutual agreement regarding rules/penalties.
ABSTRACT
Introduction: Stunting remains a predominant global health problem and Indonesia is no exception. This analysis aims to determine the major factors of stunting among children aged 0-23 months, using data from the Bogor Longitudinal Study on Child Growth and Development (BLSCGD). Methods: The BLSCGD was conducted by the Center for Public Health Research and Development, Ministry of Health, Indonesia. This analysis used part of the BLSCGD data. A total of 320 children aged above 23 months were included. Anthropometric measurements were performed by trained enumerators each month from the first month of birth until 23 months of age. The analyses of survival resilience was conducted using survival statistics test using life table and Kaplan Meier, whereby the case for this survival analysis was the occurrence of stunting. Factors affecting stunting (including children and maternal characteristics) were tested using cox proportional hazards regression. Results: Determinants of stunting were birth weight with hazards regressions (HR) score=1.847; 95% CI: 1.282-2.662), birth length (HR=1.567; 1.034-2.375), and maternal height (HR=1.436; 1.014–2.030). The probability of children not being stunted decreased with increase in age. Conclusion: Birth weight and length at birth, and maternal short stature were the dominant risks factors of stunting among the study children aged 0-23 months.