METHODS: Participants were identified from the Department of Statistics Malaysia sampling frame. Surveys were carried out with individual households aged 18 years and older through self-administered questionnaires. Information was collected on demographics, household income, employment status, number of diseases, and HRQOL assessed using the EuroQol 5-Dimension 5-Level (EQ-5D-5L) tool.
RESULTS: Out of a total of 1899 participants, 620 (32.6%) were female and 328 (17.3%) were aged 60 years and above. The mean (SD) age was 45.2 (14.1) and mean (SD) household income was RM2124 (1356). Compared with younger individuals, older respondents were more likely to experience difficulties in mobility (32.1% vs 9.7%, p<0.001), self-care (11.6% vs 3.8%, p<0.001), usual activities (24.5% vs 9.1%, p<0.001), pain/discomfort (38.8% vs 16.5%, p<0.001) and anxiety/depression (21.4% vs 13.5%, p<0.001). The mean (SD) EQ-5D index scores were lower among older respondents, 0.89 (0.16) vs 0.95 (0.13), p = 0.001. After adjusting for covariates, age was a significant influencing factor (p = 0.001) for mobility (OR = 2.038, 95% CI:1.439-2.885), usual activities (OR = 1.957, 95% CI:1.353-2.832) and pain or discomfort (OR = 2.241, 95% CI:1.690-2.972).
CONCLUSION: Lower-income older adults had poorer HRQOL compared to their younger counterparts. This has important implications concerning intervention strategies that incorporate active ageing concepts on an individual and policy-making level to enhance the QOL and wellbeing, particularly among the older lower-income population.
METHODS: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was adopted for the review which utilized three main journal databases, namely PubMed, EBSCOhost, and Web of Science. Tobacco addiction and alcohol abuse were excluded in this review. Retrieved citations were screened, and the data were extracted based on strict inclusion and exclusion criteria. Inclusion criteria include the article being full text, published from the year 2016 until 2020 and provided via open access resource or subscribed to by the institution. Quality assessment was done using Mixed Methods Appraisal Tools (MMAT) version 2018 to assess the methodological quality of the included studies. Given the heterogeneity of the included studies, a descriptive synthesis of the included studies was undertaken.
RESULTS: Out of 425 articles identified, 22 quantitative articles and one qualitative article were included in the final review. Both the risk and protective factors obtained were categorized into three main domains: individual, family, and community factors. The individual risk factors identified were traits of high impulsivity; rebelliousness; emotional regulation impairment, low religious, pain catastrophic, homework completeness, total screen time and alexithymia; the experience of maltreatment or a negative upbringing; having psychiatric disorders such as conduct problems and major depressive disorder; previous e-cigarette exposure; behavioral addiction; low-perceived risk; high-perceived drug accessibility; and high-attitude to use synthetic drugs. The familial risk factors were prenatal maternal smoking; poor maternal psychological control; low parental education; negligence; poor supervision; uncontrolled pocket money; and the presence of substance-using family members. One community risk factor reported was having peers who abuse drugs. The protective factors determined were individual traits of optimism; a high level of mindfulness; having social phobia; having strong beliefs against substance abuse; the desire to maintain one's health; high paternal awareness of drug abuse; school connectedness; structured activity and having strong religious beliefs.
CONCLUSION: The outcomes of this review suggest a complex interaction between a multitude of factors influencing adolescent drug abuse. Therefore, successful adolescent drug abuse prevention programs will require extensive work at all levels of domains.
METHODS: We performed a cross-sectional study on KTRs with functioning renal allograft and at least 3 months post transplant. Dietary protein, salt, and dietary acid load were estimated using 24-hour urine collection. Demographic characteristics, concomitant medications, medical history, and laboratory results were obtained from electronic medical records.
RESULTS: A total of 204 KTRs were recruited with median age of 48 years (interquartile range [IQR], 18 years); male to female ratio was 61:39. A total of 79.9% (n = 163) were living related kidney transplants. The median duration after transplant was 71 months (IQR, 131 months), and median eGFR was 65 mL/min/1.73 m2 (IQR, 25 mL/min/1.73 m2). The prevalence rates of proteinuria (defined as ≥ 0.5 g/d) and metabolic acidosis (defined as at least 2 readings of serum bicarbonate ≤ 22 mmol/L in the past 6 months) were 17.7 % and 6.2%, respectively. High dietary protein of > 1.2 g/kg ideal body weight (adjusted odds ratio, 3.13; 95% CI, 1.35-7.28; P = .008) was significantly associated with proteinuria. Dietary protein, salt, and acid load did not correlate with chronic metabolic acidosis.
CONCLUSIONS: The prevalence rate of proteinuria is consistent with published literature, but metabolic acidosis rate is extremely low in our cohort. High protein intake (> 1.2 g/kg ideal body weight) is a risk factor of proteinuria and may have negative impact on KTR outcome.
METHODS: The South East Asia Community Observatory (SEACO) is a dynamic prospective community cohort. We contacted a random sample of 1007 adults (18+) who had previously provided PA data in 2018. We asked about PA during the MCO (March-May 2020) and at the time of interview (June 2020).
RESULTS: During the MCO, PA reduced by a mean of 6.7 hours/week (95% confidence interval (CI) = 5.3, 8.0) compared to 2018, with the largest reductions among those in employment. By June, PA was 3.4 hours/week (95% CI = 2.0, 4.8) less than 2018, leaving 34% of adults currently inactive (20% in 2018). Reductions in occupational PA were not replaced with active travel or activity at home. Despite these observed reductions, most participants did not think the MCO had affected their PA.
CONCLUSIONS: Movement restrictions are associated with lower PA lasting beyond the period of strict restrictions; such longer-term reductions in PA may have a detrimental impact on health. Future MCOs should encourage people to be active, but may additionally need targeted messaging for those who don't necessarily realise they are at risk. In particular, policies developed in more affluent countries may not easily translate to LMICs.
METHODOLOGY: A retrospective cross-sectional study was employed to identify patients with positive AR bacteria between March 2019 and March 2022. The bacterial isolates and patients' data were identified from laboratory and medical records departments retrospectively. Binary logistic regression analysis was performed to identify the factors associated with AR and deaths. Multinominal logistic regression was applied to confirm the factors associated with AR classification.
RESULTS: AR Gram-negative bacteria decreased during and after the pandemic. However, S. aureus showed a negligible increase in resistance rate after pandemic, while E. faecium, recorded a higher-than-average resistance rate during the pandemic. The prevalence of pan drug resistance (PDR) during the pandemic (85.7%) was higher than before (0%) and after (14.3%), p = 0.001. The length of stay and time were significant predictors for AR classification. The odds of multi drug resistance (MDR) development to PDR during the pandemic were 6 times higher than before and after (OR = 6.133, CI =, p = 0.020). Age, nationality, COVID-19 infection, smoking, liver disease, and type and number of bacteria were associated with death of patients with positive AR.
CONCLUSIONS: Further studies are recommended to explore the prevalence of PDR and to justify the increased rates of E. faecium AR during the COVID-19 pandemic.
OBJECTIVES: To validate the HACOR scale in predicting NIV failure among acute cardiogenic pulmonary oedema (ACPO) patients.
DESIGN, SETTINGS AND PARTICIPANTS: This is a prospective, observational study of consecutive ACPO patients requiring NIV admitted to the ED.
OUTCOME MEASURE AND ANALYSIS: Primary outcome was the ability of the HACOR score to predict NIV failure. Clinical, physiological, and HACOR score at baseline and at 1 h, 12 h and 24 h were analysed. Other potential predictors were assessed as secondary outcomes.
MAIN RESULTS: A total of 221 patients were included in the analysis. Fifty-four (24.4%) had NIV failure. Optimal HACOR score was >5 at 1 h after NIV initiation in predicting NIV failure (AUC 0.73, sensitivity 53.7%, specificity 83.2%). As part of the HACOR score, respiratory rate and heart rate were not found to be significant predictors. Other significant predictors of NIV failure in ACPO patients were acute coronary syndrome, acute kidney injury, presence of congestive heart failure as a comorbid, and the ROX index.
CONCLUSIONS: The HACOR scale measured at 1 h after NIV initiation predicts NIV failure among ACPO patients with acceptable accuracy. The cut-off level > 5 could be a useful clinical decision support tool in ACPO patient. However, clinicians should consider other factors such as the acute coronary and acute kidney diagnosis at presentation, presence of underlying congestive heart failure and the ROX index when clinically deciding on timely invasive mechanical ventilation.
METHOD: Participants comprised of 200 patients experiencing various stages of chronic kidney disease. All participants completed the Short-Form 36 (SF-36), Big Five Inventory (BFI) and the Medical Outcomes Study (MOS) Social Support questionnaires.
RESULTS: Participants consisted of 108 males (54.0%) and 92 females (46.0%) with the mean age of 59.3 years (SD 14.5). Results showed that higher levels of extraversion and lower perceived affectionate social support were associated with higher physical HRQoL, whereas higher levels of neuroticism were associated with poorer mental HRQoL.
CONCLUSION: The current study found that certain personality traits, namely extraversion and neuroticism, were found to be associated with HRQoL. In addition, affectionate social support was also associated with higher HRQoL. Therefore, special attention should be paid to the personality of CKD patients, as well as the type of social support that they have, in planning interventions to improve their health outcomes.
METHODS AND ANALYSIS: This two-phase sequential explanatory mixed-methods design, incorporating a quantitative design (phase I) and a qualitative study (phase II), is to be conducted in 4 government hospitals and 10 other non-governmental organisations or private dialysis centres within Klang Valley, Malaysia. A cross-sectional survey (phase I) will include 236 patient-caregiver dyads, while focus group discussions (phase II) will include 30 participants. The participants for both phases will be recruited purposively. Descriptive statistics, independent sample t-tests and multiple regression analysis will be used for analyses in phase I, and thematic analysis will be used in phase II.
ETHICS AND DISSEMINATION: Approval for the study has been obtained from the National Medical Research and Ethics Committee (MREC) (NMRR-21-1012-59714) and the Research Ethics Committee of Hospital Canselor Tuanku Muhriz UKM (UKM PPI/111/8/JEP-2021-078) and University of Malaya Medical Centre (MREC ID NO: 2 02 178-10346). Informed consent of the participants will be obtained beforehand, and no personal identifiers will be obtained from the participants to protect their anonymity. The findings will be published in peer-reviewed scientific journals and presented at national or international conferences with minimal anonymised data.