METHOD: A total of 95 men (47 men with intellectual disability; 48 men without intellectual disability), aged 20-39 years, participated in this study. Anthropometric profile, dietary intake, physical activity level and calcaneal speed of sound (SOS) were collected.
RESULTS: The men with intellectual disability had moderate diet quality whilst the men without intellectual disability had poor diet quality. More participants with intellectual disability (97.9%) were inactive compared with their counterparts (10.4%). The SOS value was similar between groups and was lower than the reference. Increasing age and low physical activity level were negative predictors for bone health status.
CONCLUSION: Both young men with and without intellectual disability have suboptimal nutritional and bone health status. Strategies to improve their nutritional and bone health status are warranted.
METHODS: A total of 1028 confirmed cases of COVID-19 from Africa with definite survival outcomes were identified retrospectively from an open-access individual-level worldwide COVID-19 database. The live version of the dataset is available at https://github.com/beoutbreakprepared/nCoV2019 . Multivariable logistic regression was conducted to determine the risk factors that independently predict mortality among patients with COVID-19 in Africa.
RESULTS: Of the 1028 cases included in study, 432 (42.0%) were females with a median (interquartile range, IQR) age of 50 (24) years. Older age (adjusted odds ratio {aOR} 1.06; [95% confidence intervals {95% CI}, 1.04-1.08]), presence of chronic disease (aOR 9.63; [95% CI, 3.84-24.15]), travel history (aOR 2.44; [95% CI, 1.26-4.72]), as well as locations of Central Africa (aOR 0.14; [95% CI, 0.03-0.72]) and West Africa (aOR 0.12; [95% CI, 0.04-0.32]) were identified as the independent risk factors significantly associated with increased mortality among the patients with COVID-19.
CONCLUSIONS: The COVID-19 pandemic is evolving gradually in Africa. Among patients with COVID-19 in Africa, older age, presence of chronic disease, travel history, and the locations of Central Africa and West Africa were associated with increased mortality. A regional response should prioritize strategies that will protect these populations. Also, conducting a further in-depth study could provide more insights into additional factors predictive of mortality in COVID-19 patients.
METHODS: The source questionnaire in English was translated into Bahasa Melayu. Linguistic validation guidelines by the MAPI Research Institute were followed. The already validated Bahasa Melayu PedsQL 4.0 Generic Core Scales was used for comparison. Sociodemographic data were collected during the interview. Statistical analyses were performed using SPSS version 25.0.
RESULTS: Sixty-nine children aged 8 to 18 with CKD stages 4 and 5, with or without dialysis, and their caregivers were recruited. Mean age was 12.62 ± 2.77 (SD). Evaluation of the PedsQL 3.0 ESRD Module Bahasa Melayu version demonstrated good internal consistency (Cronbach alpha 0.82). There was good agreement between child self-report and parent proxy report in all domains; average intraclass correlation coefficients (ICC) were 0.78, 95% CI (0.71, 0.84). Scores obtained from Generic 4.0 scales correlated with the disease-specific ESRD 3.0 scale, Spearman's rho = 0.32, p = 0.007. The Kruskal-Wallis H test indicated that there were no significant differences between stages of CKD and their respective mean HRQoL score, χ2(2) = 2.88, p = 0.236.
CONCLUSIONS: The PedsQL 3.0 ESRD Module Bahasa Melayu version is a reliable and feasible tool for cross-cultural adaptation. A longer prospective study may help better illustrate the quality of life in this group of children.
METHODS: Based on health stock data from 1990 to 2015 for 140 countries, we estimated Gini coefficients of health stock to investigate associations with a well-known economic flow indicator, Gross Domestic Product (GDP), stock-based national wealth indicator, Inclusive Wealth Index (IWI), and firm-level net income.
RESULTS: The estimated Gini coefficient of global health stock shows that health stock has experienced a global decline. The Gini coefficient for low-income countries (LICs) showed the fastest decline in health stock, dropping from 0.69 to 0.66 in 25 years. Next, rapid population growth and the rise in the youth share of the working-age population in LICs were most likely contributing factors to the decline in inequality. Most countries that experienced positive health stock growth also indicated a strong positive relationship with GDP and IWI. However, some countries showed a negative relationship with natural capital, which is a part of IWI. In addition, firm-level net income showed no obvious associations with health stock, GDP and IWI.
CONCLUSIONS: We argue that a negative relationship between health stock and natural capital is a sign of unstable development because sustainable development involves maintaining not only GDP but also IWI, as it is a collective set of assets or wealth comprising human, produced and natural capital. Moreover, in our analysis of firm-level income data, we also discuss that income will be influenced by other factors, such as innovations, human resources, organization culture and strategy. Therefore, the paper concludes that health stock is a vital component in measuring health inequality and health-related Sustainable Development Goals (SDGs). Thus, IWI is more comprehensive in measuring national wealth and can complement GDP in measuring progress toward sustainable development.
METHODS: Initially, to develop constructs related to social media activities, web-based structured interviews were conducted with five office employees working in the oil and gas industry for the last 5 years. Then, using an online questionnaire survey, data was collected from 424 office employees working in the oil and gas industry in Malaysia. Using statistical software for social science (SPSS) and Smart PLS, exploratory factor analysis and confirmatory factor analysis were conducted to identify reliability and validity (discriminant validity, convergent validity and composite validity) of the constructs. Following this, path analysis was conducted and the moderating effects were identified.
RESULTS: Social media activities related to work-life decrease health and wellbeing by 11% and weaken the negative effect of effort-reward-imbalance on health and wellbeing by 17.6% at a 1% level of significance. The results of social media activities related to personal and social life strengthen the negative effect of effort-reward imbalance on health and wellbeing by 12% and negatively affects health and wellbeing and job rewards by 13, 55%, respectively. The direct effect of effort-reward imbalance and job efforts is significantly negative on health and wellbeing by 59 and 10%, respectively.
CONCLUSION: It is concluded that social media activities of the office employees significantly moderate the effect of effort-reward imbalance on health and wellbeing and intervene in job rewards in the organizations. Hence, the effect of social media activities reduces the health and wellbeing of office employees.
METHODS: A computer-based SG (CBSG) tool was developed using Microsoft® PowerPoint 2007 to value asthma-specific health states in Malaysia. Eight hypothetical health states were considered, including two anchor states (healthy and dead), three chronic (C) states and three temporary (T) states (each numbered 1 through 3, with increasing severity) in addition to the subject's current health state. Twenty adult asthma patients completed the CBSG tool in addition to paper-based Asthma Control Test, three health status measures (EQ-5D, EQ-VAS, and Mini Asthma Quality of Life Questionnaire (MiniAQLQ)), and VAS utility assessment tool. Patients and interviewers rated the difficulty of the VAS and CBSG tools. Correlations between current health state values derived from the various measures were determined.
RESULTS: The SG and the VAS received similar difficulty ratings. 17 patients completed the CBSG tool within 30 minutes. The mean utilities determined by the CBSG tool for the T1-T3 asthma health states met the expected logical order of 1>2>3, but those for the C1-C3 states did not. Correlation between current health state values derived from the CBSG tool and other measurement tools was poor.
CONCLUSION: The CBSG tool developed for measuring utilities of asthma health states showed acceptable feasibility and overall validity.
METHOD: Participants completed a questionnaire battery, which included the 12-item General Health Questionnaire, Beck's Depression Inventory, the Revised UCLA Loneliness Scale and the Satisfaction With Life Scale.
RESULTS: Life satisfaction was negatively and significantly correlated with suicidal attitudes, loneliness and depression; and positively with health, which was negatively and significantly correlated with depression and loneliness. Self-concept was negatively correlated with loneliness and depression, depression was positively and significantly correlated with loneliness. Mediational analyses showed that the effects of loneliness and life dissatisfaction on depression were fully mediated by health.
CONCLUSION: Even though less satisfied, and particularly lonelier, individuals are more likely to report higher levels of depression, this is only the case because both higher loneliness and life dissatisfaction are associated with poorer health. These results are discussed in terms of their implications for the diagnosis and treatment of mental health disorders in developing nations.