Asia Pacific Journal of Public Health

This review was aimed at systematically synthesizing and appraising the existing literature of sociodemographic, macroeconomic, and health resources factors on life expectancy. A systematic literature search of English databases, that is, PubMed/MEDLINE were scrutinized for exploring sociodemographic, macroeconomic, and health resources factors on life expectancy. The literature search was conducted in January 2020, covering a total of 46 articles from 2004 to 2019 met the review criteria, which were fully discussed subsequently. Among sociodemographic factors, infant mortality rate, literacy rate, education level, socioeconomic status, population growth, and gender inequality have a significant impact on life expectancy. Gross domestic product, Gini, income level, unemployment rate, and inflation rate are the main macroeconomic factors that significantly correlated with life expectancy. Among various health care resources, health care facilities, the number of the health care profession, public health expenditure, death rates, smoking rate, pollution, and vaccinations had a significant correlation with life expectancy. The systematic review showed general conformity of different studies, with a significant association between life expectancy and factors comprising several sociodemographic, macroeconomic, and various health care variables. This review found that only one study examined factors affecting life expectancy in Arabic countries. More studies on this region to fill this research gap were highly recommended.

During self-reporting, respondents underreport their smoking status for various reasons. We aimed to evaluate the difference between smoking status self-reporting and urinary cotinine tests in Korea respondents. Logistic regression analyses were performed to identify factors associated with the differences between self-reporting and urinary cotinine criteria. The dependent variable was the underreporting of smoking status; independent variables were sociodemographic, health status, and secondhand smoke (SHS) exposure. Total underreporting was 3.6% when Cot ≥164 and 4.0% when Cot-variable (classified) criteria underreported. Positive associations were found between smoking and age, education, drinking, and SHS. Underreporting in the nonsmoker group (odds ratio [OR] = 2.336; confidence interval [CI] = 1.717-3.179) was significantly associated with SHS, but this difference was nonsignificant in the ex-smoker group (OR = 1.184; CI = 0.879-1.638). Underreporting was 3.6% to 4.0%, and C-statistics was about 0.7, indicating that outcomes could be classified. SHS in nonsmokers was positively associated with underreporting; however, only the nonsmoker group had positive associations, demonstrating unintentional underreporting due to SHS.

India’s scheduled tribe population very often bears the brunt of inequity in accessing health care. The mixed-method research assessed the health care seeking behavior (HSB) of a tribal community residing in the eastern fringes of Kolkata metropolis. An adult, preferably the head, in 209 households was interviewed followed by qualitative interviews with relevant stakeholders. Conceptual framework of Andersen’s behavioral model helped in identifying the potential predisposing, enabling, and need factors that influenced HSB. A total of 25.4% respondents reportedly sought informal care during last illness episode. Multivariable hierarchical-regression model (Nagelkerke R² = 0.381) showed that respondents’ education level [adjusted odds ratio (AOR) = 2.52], household size (AOR = 3.14), nonenrollment to health insurance (AOR = 2.47), decision making by household head (AOR = 2.40), distance from the nearest urban primary health center (AOR = 3.18), and poor perception to illness severity (AOR = 2.24) were significantly associated to inappropriate HSB. Predominant health system barriers that emerged from qualitative interviews were irregular logistics, unfavorable outpatient timing, absence of female doctors, and nonretention of doctors at local urban primary health center. Community level barriers were poor awareness, self-medication practices, poor health insurance coverage, and poor public transportation. Recognition of these determinants may help in developing health promotion interventions tailored to their needs.

Toilet hygiene is an important preventive measure for infectious diseases, including severe acute respiratory syndrome (SARS) and COVID-19. This study explored public’s opinions on improving toilet environment and hygiene practices in Hong Kong. A mixed-method approach was applied. We conducted 4 focus groups plus 3 individual interviews among the Hong Kong Chinese, followed by a questionnaire survey with 300 respondents recruited from various districts. Difference in response distributions between groups with different demographics was tested by Pearson χ² test. Instead of advocating for advanced toilet facilities, respondents were mostly concerned about basic hygiene issues. Malfunctioning facilities resulting from poor toilet management, such as clogged toilets, stained facilities, and problematic flushing systems, were most cited as barriers to toilet hygiene practices. Three quarters of the survey respondents expressed concerns over worn and poorly maintained toilets, shortage of janitors, and cleansing supplies. However, respondents who were older (P < .001), less educated (P < .001), and had lower income (P = .001) were significantly more likely to find hygiene conditions in public toilets satisfactory. The findings reflected the substandard of the current provisions as a developed city in Asia. Enhanced efforts by the government to maintain basic toilet supplies and facilities is the key to improving public compliance to toilet hygiene practices.

This study examined the trends of adolescents’ physical activity (PA) and its association with parental and peer support, based on the Indonesia Global School-Based Health Survey. Between 2007 and 2015, prevalence of PA in adolescents declined from 24.4% to 16.5%. Prevalence of active transportation (AT) decreased from 47.2% to 32.3%. Prevalence of sedentary leisure behavior (SLB) declined from 33.6% to 27.2%. Girls’ SLB was inversely associated with parental supervision SLB in 2007 (odds ratio [OR] = 0.49; 95% CI = 0.30-0.80) and in 2015 (adjusted OR [AOR] = 0.55; 95% CI = 0.43-0.71), and so was boys’ SLB in 2015 (OR = 0.75; 95% CI = 0.59-0.95). Boys’ AT was inversely associated with peer support in 2015 (OR = 0.73; 95% CI = 0.59-0.91). Parental control was associated with PA in girls (OR = 1.71; 95% CI = 1.23-2.37), in boys (OR = 1.65; 95% CI = 1.07-2.54), and with SLB among girls in 2015 (OR = 1.28; 95% CI = 1.11-1.47). Hence, adolescents’ PA was associated with perceived social support.

The purpose of this study was to examine the daily social pressure and socioeconomic factors related to women’s alcohol consumption in China. Cross-sectional data were obtained from the 2012 China Family Panel Studies. A multivariate logistic regression analysis of a sample of 16 339 female adults with the mean age of 45.3 years was used to examine the relationships between dependent and independent variables. According to the results, first, the greater the daily social pressure, the more likely women were to engage in general alcohol consumption (odds ratio = 1.061) and risk drinking (odds ratio = 1.057). Second, while there is a positive relationship between the general level of social pressure and women’s alcohol consumption, the relationship between the severe level of social pressure and women’s alcohol consumption was not significant. Finally, women in the Central region were less likely to engage in risk drinking than women in the Western region; women with secondary school education were more likely to engage in risk drinking than women with primary school education or below; and age was significantly positively associated with both general and risk drinking. In conclusion, increasing alcohol consumption among women may be due to increased social pressure.

To compare the prevalence of and risk factors associated with overweight or obesity between the international (body mass index [BMI] ≥25 kg/m²) and Asian (BMI ≥23 kg/m²) criteria in a working population in Singapore. This was a cross-sectional analysis of a cohort study of 464 employees (aged ≥21 years) conducted at 4 workplaces in Singapore. The prevalence of overweight or obesity was 47.4% and 67.0% with the international and Asian criteria, respectively. With both the criteria, higher age, male sex, Malay ethnicity (vs Chinese), lower white rice intake, and consumption of sugar-sweetened beverages were positively associated with overweight or obesity. Participants with poorer mental health and higher levels of thermal comfort in the workplace were positively associated with overweight or obesity only with the Asian criteria. The use of international criteria alone in this population could have overlooked these risk factors that are highly relevant to the Singapore context.

Postpartum depression (PPD) is a highly prevalent disorder characterized by increased vulnerability to morbidity and mortality. This study explores the predictors and prevalence of PPD among Taiwanese women. A total of 914 postpartum women was recruited from a mother-child-friendly hospital. These participants completed self-report questionnaires at 1 month postpartum, and their medical records were also examined for relevant information. Multivariate analyses were used to identify independent predictors of PPD. At 1 month postpartum, 18.8% had developed PPD. Multivariate analysis showed that the odds ratios for PPD were significantly lower among women who were breastfeeding, had more family support, and attended a postpartum care center, while those who were younger, primiparous, and who experienced gestational complications had a higher prevalence of PPD. Meanwhile, structural equation modeling showed that family support from partners, parents, and parents-in-law diminished depression scores through direct effects.

Transition economies tend to rely on rapid growth of specific industries and hence often leads to disparities in health status among the working population. This study aims to determine the depression status in different industries and occupational groups in Mongolia, a country that is experiencing an economic transition. We conducted a cross-sectional survey between July and September 2018 in Ulaanbaatar, Mongolia. A total of 1784 employees from 22 private and public companies were enrolled in this study. The Patient Health Questionnaire–9 (PHQ-9) was used to determine the severity of depression. Prevalence of depression is evaluated using weighted analysis. The association between occupational groups (white, blue, and pink collars), industries, and PHQ-9 score was analyzed using linear regression. In multiple regression, the workers in the transportation, public administration, and education industries exhibited the highest depression scores (P < .001). Traditional variables such as age, sex, and marital status remained significant predictors in our model. Industrial types should not be overlooked in identifying depression in the working population. This is especially true for a transition economy like Mongolia. Analysis by industries is essential to promote stress management in the future among vulnerable groups in specific industries.

Acute respiratory distress syndrome (ARDS) is one of the main causes of high mortality among coronavirus disease 2019 (COVID-19) patients. This study aimed at determining the association between presence of chronic diseases and smoking behaviors with the development of ARDS among hospitalized COVID-19 patients in Indonesia. This study was carried out in 15 Muhammadiyah-‘Aisyiyah–affiliated COVID-19 referral hospitals in Indonesia. Four hundred ninety participants who tested positive for the COVID-19 were recruited in this study. Demographic data, history of chronic diseases, and the development of ARDS were retrieved from hospital patient records. Information about the smoking behavior was collected after respondents were discharged from the hospital. Presence of chronic diseases such as diabetes, chronic heart disease, hypertension, and chronic liver diseases were significantly associated with the development of ARDS. In a similar regard, patients who currently smoked had a 5 times greater risk of developing ARDS compared with those who never smoked.