Polychlorinated biphenyls (PCBs) were widely used in industrial and commercial applications, until they were banned in the late 1970s as a result of their significant environmental pollution. PCBs in the environment gained scientific interest because of their persistence and the potential threats they pose to humans. Traditionally, human exposure to PCBs was linked to dietary ingestion. Inhalational exposure to these contaminants is often overlooked. This review discusses the occurrence and distribution of PCBs in environmental matrices and their associated health impacts. Severe PCB contamination levels have been reported in e-waste recycling areas. The occurrence of high PCB levels, notably in urban and industrial areas, might result from extensive PCB use and intensive human activity. Furthermore, PCB contamination in the indoor environment is ten-fold higher than outdoors, which may present expose risk for humans through the inhalation of contaminated air or through the ingestion of dust. In such settings, the inhalation route may contribute significantly to PCB exposure. The data on human health effects due to PCB inhalation are scarce. More epidemiological studies should be performed to investigate the inhalation dose and response mechanism and to evaluate the health risks. Further studies should also evaluate the health impact of prolonged low-concentration PCB exposure.

Introduction: Low health literacy (HL) is one of the contributing factors that leads to negative diabetic outcome. Quality of life (QOL) is a state of complete physical, mental and social wellbeing. There is limited evidence on association of HL and QOL among type 2 diabetes mellitus (T2DM), therefore the objectives of this study were to identify the HL and QOL status, to determine the association between HL and QOL and factors associated with QOL among T2DM patients. Methods: This was a cross sectional study involving patients with T2DM from two public primary care clinics. HL and QOL were measured using translated and validatedHLS – Asia Q16 and DQoL-BCI questionnaires respectively among T2DM patients. Results: The mean HL score was 12.39 (3.34), 17.7 % had “inadequate HL”, 25.7% had “problematic HL” and 56.6% had “sufficient HL”. The mean DQoL-BCI score was 32.09 (6.51). Lower QOL level was negatively associated with age (b -0.140; CI: -0.190, - 0.090; p<0.001), not obese (b -1.476; CI: -2.605, - 0.347; p<0.011), and HL level (b -0.425; CI: -0.59, - 0.259; p6.5%)(b 1.308; CI: -0.042, 2.659; p<0.058), treatment with insulin (b 4.163; CI:1.538, 6.788; p<0.002) and combination treatment of insulin and oral hypoglycaemic agents (OHA) (b 2.450; CI:1.145, 3.756; p<0.001). Conclusions: This study demonstrated that age, body mass index, HL, glycaemic control, treatment with OHA and insulin were significantly associated with QOL. This suggest the importance of identifying high risk patients with poor QOL for targeted intervention.

Background: Malaysia’s elderly population is projected to reach 15% by 2030. Nutritional status significantly impacts elderly health, with malnutrition linked to depression, anxiety and stress. This study assessed mental health problems and their associations with nutritional status among elderly individuals in Malaysia attending community health screenings. Method: A cross-sectional study was conducted among elderly participants selected through convenience sampling method from four community health screenings in Kuala Selangor District (June–October 2024). Sociodemographic details, nutritional status (Mini Nutritional Assessment-Short Form, MNA ^® -SF), and mental health problems (Depression, Anxiety, and Stress Scale-21, DASS-21) were obtained. Screening tools were used to assess nutritional and mental health status. Multiple logistic regression was used to examine the associations between nutritional status and mental health problems. Results: Among 361 elderly participants, the prevalence rates of depression, anxiety, and stress were 12.7%, 9.4%, and 4.2%, respectively. At risk of malnutrition significantly increased the odds of depression (AOR = 10.94, 95% CI = 4.35–27.52), anxiety (AOR = 11.16, 95% CI = 4.10–30.41), and stress (AOR = 5.03, 95% CI = 1.55–16.34), whereas malnutrition increased the odds of depression (AOR = 45.61, 95% CI = 13.20–157.61) and anxiety (AOR = 17.80, 95% CI = 4.93–64.32), although confidence intervals were wide. Female sex and less social engagement were associated with depression. Being a smoker or ex-smoker and having less physical activity were associated with anxiety. Finally, retirees and having sleeping issues were associated with both depression and anxiety. Conclusion: Nutritional status is strongly associated with of depression, anxiety, and stress in elderly individuals. Early identification, further assessment, and targeted interventions are crucial for improving mental well-being in this population.

Objective: This study aimed to determine the usability of the EMPOWER-SUSTAIN Self-Management Mobile App© and evaluate the factors associated with its usability among patients with cardiovascular risk factors in primary care. Methodology: This was a cross-sectional study, conducted among patients aged ≥ 18 years with cardiovascular risk factors attending a university primary care clinic. Patients were given the app to use for at least three months. Those who fulfilled the eligibility criteria were recruited. Data gathered were on sociodemographic, clinical characteristics, self-management support by doctors, utilisation of the app at home and social support in using the app. The previously translated and validated Malay version of the mHealth App Usability Questionnaire was used to measure usability. The mean usability score was calculated and linear regressions analysis was conducted to determine the factors associated with the usability of the app. Results: A total of 247 patients with at least one cardiovascular risk factor(s) were recruited. The mean age was 60.2 (±8.2). The majority were Malays (86.2%) and half of them were males (52.2%). The total mean (±SD) usability score was 5.26 (±0.67) indicating a high usability of the app. Usability of the app declined with increasing age in the simple linear regressions analysis. The multiple linear regressions yielded that being Malay ( b = 0.31, 95% CI 0.08,0.54), using the app at home to understand their medications ( b = 0.33, 95% CI 0.12,0.53) and having social support from family members and friends ( b = 0.28, 95% CI 0.07,0.49) were significantly associated with higher usability of the app. Conclusion: The usability of the EMPOWER-SUSTAIN Self-Management Mobile App© was high among patients with cardiovascular risk factors in our primary care clinic. This finding supports the widespread use of this app among our patients. Involvement of family members and friends should be encouraged to improve the usability of the app.