METHODS: The English version of OARS-IADL was translated to BM. The psychometric properties of the BM version of OARS-IADL were tested among older persons attending a health-care facility.
RESULTS: Two hundred and seventy-one older persons participated in the study. The mean age of participants was 67.7 ± 6.1 years. Internal consistency of the items was good (Cronbach's alpha, >0.7). Exploratory factor analysis revealed a single dimension with item factor loadings of >0.5. Confirmatory factor analysis results confirmed a single-factor model (AVE > 50%, CR > 0.7 and CR > AVE).
CONCLUSION: The BM version of the OARS-IADL questionnaire is a valid and reliable instrument that can be used to assess the IADL among older persons in Malaysia.
METHODS: A review of medical records of children who underwent adenotonsillectomy between January 2011 and December 2014 was performed. Association between demographic variables and post-operative complications were examined using chi-square and Mann-Whitney tests.
RESULTS: A total of 214 children were identified, and of these, 19 (8.8%) experienced post-operative complications. Six children (2.8%) had respiratory complications: hypoxaemia in four and laryngospasm requiring reintubation in a further two. Both of the latter patients were extubated upon arrival to PICU and required no escalation of therapy. A total of 13 (6.1%) children had non-respiratory complications: 8 (3.7%) had infection and 5 (2.3%) had haemorrhage. A total of 26 (12.1%) children were electively admitted to PICU and mean stay was 19.5 (SD ± 13) h. No association between demographic characteristics, comorbid conditions or polysomnographic parameters and post-operative complications were noted. A total of 194 (90.7%) children stayed only one night in hospital (median 1 day, range 1-5 days).
CONCLUSION: The previously identified risk factors and criteria for PICU admission need revision, and new recommendations are necessary.
OBJECTIVE: The main focus of this review is to discuss and summarise the major risk factors associated with urbanisation that affect human gut microbiota thus affecting human health.
METHODS: Multiple medical literature databases, namely PubMed, Google, Google Scholar, and Web of Science were used to find relevant materials for urbanisation and its major factors affecting human gut microbiota/microbiome. Both layman and Medical Subject Headings (MeSH) terms were used in the search. Due to the scarcity of the data, no limitation was set on the publication date. Relevant materials in the English language which include case reports, chapters of books, journal articles, online news reports and medical records were included in this review.
RESULTS: Based on the data discussed in the review, it is quite clear that urbanisation and its associated factors have long-standing effects on the human gut microbiota that result in alterations of gut microbial diversity and composition. This is a matter of serious concern as chronic inflammatory diseases are on the rise in urbanised societies.
CONCLUSION: A better understanding of the factors associated with urbanisation will help us to identify and implement new biological and social approaches to prevent and treat diseases and improve health globally by deepening our understanding of these relationships and increasing studies across urbanisation gradients.HIGHLIGHTSHuman gut microbiota have been linked to almost every important function, including metabolism, intestinal homeostasis, immune system, biosynthesis of vitamins, brain processes, and behaviour.However, dysbiosis i.e., alteration in the composition and diversity of gut microbiota is associated with the pathogenesis of many chronic conditions.In the 21st century, urbanisation represents a major demographic shift in developed and developing countries.During this period of urbanisation, humans have been exposed to many environmental exposures, all of which have led to the dysbiosis of human gut microbiota.The main focus of the review is to discuss and summarise the major risk factors associated with urbanisation and how it affects the diversity and composition of gut microbiota which ultimately affects human health.
DESIGN: A cross-sectional study was conducted from January to March 2018; data on patients' sociodemographic characteristics, diabetes knowledge, perceived social support and health literacy level were collected. Health literacy level was measured using the European Health Literacy Survey Questionnaire (HLS-EU-Q47).
SETTING: Patients were recruited from four primary care clinics in Perak, Malaysia.
PARTICIPANTS: Adult patients diagnosed with T2DM who attended the study clinics during the study period.
PRIMARY OUTCOME VARIABLE: Patients with HLS-EU-Q47 General Index of ≤33 points were classified as having limited health literacy.
RESULTS: The prevalence of limited health literacy was 65.3% (n=279). In bivariate analysis, patients' ethnicity (p=0.04), highest education level (p<0.001), monthly income (p=0.003), having health insurance (p=0.007), English language fluency (p<0.001), Malay language fluency (p=0.021), attending diabetes education sessions (p<0.001), perceived social support (p<0.001) and diabetes knowledge (p=0.019) were factors associated with limited health literacy. In logistic regression, not being fluent in English was associated with limited health literacy (OR=2.36, 95% CI 1.30 to 4.30) whereas having high perceived social support (OR=0.52, 95% CI 0.40 to 0.69) and having attended diabetes education sessions (OR=0.42, 95% CI 0.27 to 0.68) were associated with adequate health literacy.
CONCLUSION: The prevalence of limited health literacy is high among patients with T2DM in Perak, Malaysia. Strategies to improve health literacy in these patients must consider the influences of English fluency, attendance at diabetes education sessions and social support, and may need to adopt a universal approach to addressing limited health literacy.
METHODS: This was an exploratory sequential mixed methods study, where the qualitative case study was conducted in Hainan and Dalian, while the survey was conducted in Xi'an, Nanjing, Shenyang, and Xiamen. The validation of EASNH-Q also included exploratory and confirmatory factor analyses. Multinomial logistic regression analysis was used to estimate the determinants of expectations and acceptability of SNHs.
RESULTS: The newly developed EASNH-Q uses a Likert Scale ranging from 1 (strongly disagree) to 5 (strongly agree), and underwent validation and refinement from 49 items to the final 24 items. The content validity indices for relevance, comprehensibility, and comprehensiveness were all above 0.95. The expectations and acceptability of SNHs exhibited a strong correlation (r = 0.85, p
METHODS: This study investigates how the COVID-19 pandemic and subsequent measures of lockdown, quarantine, and social distancing have affected students. We look specifically into the effects on individuals' mental health, that is, the stress and anxiety levels of college and university students using the Zung Self-rating Anxiety Scale (SAS).
RESULTS: Among 494 respondents, 61% were females, and the majority (77.3%) of the students were in the age group of 19-25 years. Among the respondents, 125 (25.3%), 45 (9.1%) and 34 (6.9%) experienced minimal to moderate, severe, and most extreme levels of anxiety, respectively. The variables of gender, age and year of study were significant at the 0.25 level by univariate analyses. Nevertheless, the ordinal regression indicates that only gender was significant. The odds of a female student being more anxious are higher compared to a male student (OR = 1.779, 95% CI [1.202-2.634], P = 0.004). The most prominent stressors attained from the qualitative feedback from the Pakistani students are associated with online teaching, concerns about their academic performance and completion of the current semester, uncertainty related to exam dates, and the status of the following semester.
CONCLUSIONS: This study will add to the existing body of literature on the impacts of the COVID-19 pandemic on the social and psychological health of students. The study outcomes will provide basic data for further applied and action research and a framework for universities and policy makers in Pakistan and the neighboring countries in the region with the same cultural contexts. Thus, relevant health interventions can be designed for better mental health and educational attainments of students from higher educational institutions. This pathological pandemic may well lead to another pandemic of mental and behavioral illness. All stakeholders should join force regardless of pre-existing differences and inequalities to ensure the well-being of future generations, specifically students from higher educational institutions. The long-lasting impacts and the aftermath of this pandemic will unquestionably need further and future investigations. Keywords: Anxiety, students, mental health, COVID-19, Pakistan.
METHODS: Staff members of a teaching hospital medical imaging department were invited to complete the generic short version of the Safety Attitude Questionnaire (SAQ). Internal consistency and reliability were evaluated using Cronbach's α. Confirmatory factor analysis (CFA) was conducted to examine model fit. A cut-off of 60% was used to define the percentage positive responses (PPR). PPR values were compared between occupational groups.
RESULTS: A total of 300 complete responses were received and the response rate was 75.4%. In reliability analysis, the Cronbach's α for the original 32-item SAQ was 0.941. Six subscales did not demonstrate good fit with CFA. A modified five-subscale, 22-item model (SAQ-MI) showed better fit (goodness-to-fit index ≥0.9, comparative fit index ≥ 0.9, Tucker-Lewis index ≥0.9 and root mean square error of approximation ≤0.08). The Cronbach's α for the 22 items was 0.921. The final five subscales were safety and teamwork climate, job satisfaction, stress recognition, perception of management and working condition, with PPR of 62%, 68%, 57%, 61% and 60%, respectively. Statistically significant differences in PPR were observed between radiographers, doctors and others occupational groups.
CONCLUSION: The modified five-factor, 22-item SAQ-MI is a suitable tool for the evaluation of patient safety culture in a medical imaging department. Differences in patient safety culture exist between occupation groups, which will inform future intervention studies.