Prevalence and Associated Factors of the Severity of Depression, Anxiety and Stress Among Low-Income Community-Dwelling Adults in Kuala Lumpur, Malaysia.

Growing prevalence of mental illnesses and the role they play in the global disease burden is an emerging public health issue. The prevalence of depression and anxiety is on the rise in Malaysia. Low-income urban communities are among the key affected populations with regards to mental health problems. This cross-sectional study was aimed to determine the prevalence and severity of depression, anxiety and stress, and their associated factors among adults in the low-income community of Kuala Lumpur, Malaysia. A total of 248 participants aged 18-60 years old were recruited. Data were collected via face-to-face interviews using the Depression, Anxiety and Stress Scale-21 Items (DASS-21). Chi-squared test was used to examine the association between the variables. Multiple ordinal regression model was introduced to identify the predictors of depression, anxiety and stress. The proportions of participants with depression, anxiety and stress were 24.2% (95% CI: 19.6-30.4), 36.3% (95% CI: 29.9-43.0), and 20.6% (95% CI: 15.4-26.5), respectively. There was a statistically significant association of ethnicity (p = 0.002) and age (p = 0.014) with the severity of depression, ethnicity (p = 0.001) and age (p = 0.024) with the severity of anxiety, and ethnicity (p < 0.001) and marital status (p = 0.006) with the severity of stress. In a multivariable analysis, only non-Malay ethnicity was an independent predictor of the severity of depression [OR = 2.43, 95% CI (1.25, 4.72), p = 0.009], anxiety [OR = 2.55, 95% CI (1.41, 4.62), p = 0.002] and stress [OR = 4.28, 95% CI (2.06, 8.89), p = <0.001]. Mental health interventions should target low-income communities to address social inequalities of mental health within economically disadvantaged populations.

HIV-Related Stigma and Discriminatory Attitudes among a Semi-Urban Population.

BACKGROUND: Stigma and discriminatory attitudes (SDAs) have a negative impact on human immunodeficiency virus (HIV) prevention, testing, and treatment as well as on family and social networks. There is a lack of understanding about HIV-related SDAs among people living outside large cities. This study is aimed to determine the level of HIV-related SDAs among a semi-urban population in Malaysia and to compare the SDA results among people with different sociodemographic characteristics. METHODS: A sample of 106 respondents was generated by convenience sampling during the screening campaign in Alor Gajah, Malaysia. Data collection was carried out based on a pre-tested questionnaire via face-to-face interviews. RESULTS: More than half of the respondents (62.3%) thought that an HIV-positive teacher should not be allowed to continue teaching at school; 81.1% were unsure or were unwilling to care for their family member with AIDS at home; 81.2% thought children with HIV/AIDS should not continue to be raised in families; and 77.3% thought they would not reveal if a family member had HIV/AIDS. CONCLUSION: Priority should be given to evidence-based interventions to reduce HIV-related SDAs. This study did not reveal any significant relationship between sociodemographic profiles and HIV-related SDAs. Therefore, further research with a larger sample size is needed to investigate the underlying causes of HIV-related SDAs.

Patients' intention to make an up-front payment at private outpatient clinics in Malaysia as a no-show reduction method.

Regulating patients' no-show behavior is critical from the standpoints of sustainable medical services and operational efficiencies. The purpose of this study was to evaluate the patients' intention to make partial up-front payments at outpatient clinics. This was a cross-sectional study design introducing a self-administered questionnaire to 221 outpatients at a private health facility. The questionnaire measured the patient's demographic characteristics, perceived usefulness (PU), trust in the health facility, and intention to make upfront partial payments. Out of the total respondents, 57.4% were female. There were 34.8% Malays, 40.6% Chinese and 24.6% Indians. The majority (66.5%) of the respondents attained tertiary education. Nearly a third of the respondents (30.5%) reported an income between 3000 and 5000 Malaysian Ringgit (RM). Regarding payment mode, just more than half (51.1%) made self-payment, and 21.8% by guaranteed letter. A quarter (24.9%) waited more than 3 h for consultation and 59.6% visited the health facility more than 2 times in a year. Initial analysis showed that PU, trust, age, education, number of visits, and hours of waiting were significantly associated with the intention to make a partial payment. Multiple linear regression showed that perceived usefulness (B = 0.517, p < 0.001); trust in hospital management (B = 0.288, p < 0.001) and number of visits (B = 0.216, p < 0.001) were associated with the intention to make partial payment. Intention to make partial up-front payments is associated with higher perceived usefulness in making such payments and hospital trust. Visiting the health facility frequently was associated with a higher intention to make upfront partial payment. The result may guide further studies on potential remedies to no-show.

Climate Change and Infant Nutrition: Estimates of Greenhouse Gas Emissions From Milk Formula Sold in Selected Asia Pacific Countries.

BACKGROUND: There is growing recognition that current food systems and policies are environmentally unsustainable. There is an identified need to integrate sustainability objectives into national food policy and dietary recommendations. RESEARCH AIMS: To (1) describe exploratory estimates of greenhouse gas emission factors for all infant and young child milk formula products and (2) estimate national greenhouse gas emission association with commercial milk formulas sold in selected countries in the Asia Pacific region. METHOD: We used a secondary data analysis descriptive design incorporating a Life Cycle Assessment (LCA) concepts and methodology to estimate kg CO2 eq. emissions per kg of milk formula, using greenhouse gas emission factors for milk powder, vegetable oils, and sugars identified from a literature review. Proportions of ingredients were calculated using FAO Codex Alimentarius guidance on milk formula products. Estimates were calculated for production and processing of individual ingredients from cradle to factory gate. Annual retail sales data for 2012-2017 was sourced from Euromonitor International for six purposively selected countries; Australia, South Korea, China, Malaysia, India, Philippines. RESULTS: Annual emissions for milk formula products ranged from 3.95-4.04 kg CO2 eq. Milk formula sold in the six countries in 2012 contributed 2,893,030 tons CO2 eq. to global greenhouse gas emissions. Aggregate emissions were highest for products (e.g., toddler formula), which dominated sales growth. Projected 2017 emissions for milk formula retailed in China alone were 4,219,052 tons CO2 eq. CONCLUSIONS: Policies, programs and investments to shift infant and young child diets towards less manufactured milk formula and more breastfeeding are "Triple Duty Actions" that help improve dietary quality and population health and improve the sustainability of the global food system.

Malaysia's approach in handling COVID-19 onslaught: Report on the Movement Control Order (MCO) and targeted screening to reduce community infection rate and impact on public health and economy.

Malaysia recorded its first case of COVID-19 on January 24th, 2020 with a stable number of reported cases until March 2020, where there was an exponential spike due to a massive religious gathering in Kuala Lumpur. This caused Malaysia to be the hardest hit COVID-19 country in South East Asia at the time. In order to curb the transmission and better managed the clusters, Malaysia imposed the Movement Control Order (MCO) which is now in its fourth phase. The MCO together with targeted screening have slowed the spread of COVID-19 epidemic. The government has also provided three economic stimulus packages in order to cushion the impact of the shrinking economy. Nonetheless, early studies have shown that the MCO would greatly affect the lower and medium income groups, together with small and medium businesses.

Income and obesity in an urban poor community: a cross-sectional study.

Background: Recent studies have shown that higher income is associated with a higher risk for subsequent obesity in low- and middle-income countries, while in high-income countries there is a reversal of the association - higher-income individuals have a lower risk of obesity. The concept of being able to afford to overeat is no longer a predictor of obesity in developed countries. In Malaysia, a trend has been observed that the prevalence of obesity increases with an increase in income among the low-income (B40) group. This trend, however, was not further investigated. Therefore, this study was performed to investigate the association of income and other sociodemographic factors with obesity among residents within the B40 income group in an urban community.  Methods: This cross-sectional study used a systematic sampling technique to recruit participants residing in a Program Perumahan Rakyat (PPR), Kuala Lumpur, Malaysia. The sociodemographic characteristics were investigated through face-to-face interviews. Weight and height were measured, and body mass index (BMI) was calculated and coded as underweight, normal, overweight and obese according to the cut-off points for the Asian population. A chi-squared test was used to compare the prevalence of obesity in this study with the national prevalence. A generalized linear model was introduced to identify BMI predictors. Results: Among the 341 participants, 25 (7.3%) were underweight, 94 (27.6%) had normal weight, 87 (25.5%) were overweight, and 135 (39.6%) were obese. The proportion of obese adults (45.8%) was significantly higher than the national prevalence of 30.6% (p<0.001). Among all the tested variables, only income was significantly associated with BMI (p=0.046). Conclusion: The proportion of obesity in this urban poor community was higher compared with the national average. BMI increased as the average monthly household income decreased.