METHOD: The study was a cross-sectional design in nature, using self-reported questionnaires among the university students in Malaysia. Participants were selected using a convenience sampling approach. Perceptions regarding social support and physical environment were assessed using the Malay-translated version scales. The standard forward-backwards translation was conducted to translate the English version of the scales to the Malay version. Confirmatory factor analysis (CFA) was used to validate the translated version scales; composite reliability (CR) and average variance extracted (AVE) were computed.
RESULTS: A total of 857 students participated in this study (female: 49.1%, male: 50.9%). The mean age of the participants was 20.2 (SD = 1.6). The fit indices of the initial hypothesized measurement models (social support and physical environment) were not satisfactory. Further improvements were made by adding covariances between residuals' items within the same factor for each hypothesized model. The final re-specified measurement models demonstrated adequate factor structure for the social support scale with 24 items (CFI = .932, TLI = .920, SRMR = .054, RMSEA = .061), and the physical environment scale with five items (CFI = .994, TLI = .981, SRMR = .013, RMSEA = .054). The CR was .918 for family support, .919 for friend support, .813 for perceived availability, and .771 for perceived quality. The AVEs were .560 for family support, .547 for friend support, .554 for perceived availability, and .628 for perceived quality. The intra-class correlation (ICC) based on test-retest was .920 for family support, .984 for friend support, .895 for availability of facilities, and .774 for quality of facilities.
CONCLUSION: The Malay version of the social support scale for exercise and the physical environment scale for physical activity were shown to have adequate psychometric properties for assessing perceived social support and physical environment among the university students in Malaysia.
PERSPECTIVE: This study presented the psychometric properties of the social support and physical environment scales based on CFA and was the first to translate these scales from the original English version to the Malay version.
METHODS: This was a cross-sectional survey using convenient sampling of 192 RA patients who attended the Rheumatology Clinic outpatient appointment, Hospital Melaka from June 2013 to December 2013. Depression, Anxiety and Stress Scale (DASS21) questionnaire was used to evaluate symptoms of depression, anxiety and stress. RA disease activity was assessed using the DAS28-ESR formula. Functional status was assessed via the Health Assessment Questionnaire Disability Index (HAQ-DI).
RESULTS: Out of 189 completed questionnaires, 46%(n=86) patients reported psychological distress symptoms, and 25%(n=48) experienced more than one negative emotional states. The prevalence of depression, anxiety and stress among our patients were 23.3%(n=44), 42.3%(n=80) and 20.1%(n=38) respectively. There were significant positive correlations (p<0.05) between these psychological symptoms with disease activity, number of tender joints, general health, pain and HAQ score. Age was inversely correlated with depression, anxiety and stress. Higher number of swollen joints correlated positively with depression but not with anxiety and stress. HAQ was the only independent predictor for depression (Odds Ratio [OR]=2.07; 95%CI: 1.19 to 3.61) and anxiety (OR=1.81; 95%CI: 1.1 to 3.0) whilst pain was found to be independent predictor for stress (OR=1.04; 95%CI: 1.0 to 1.1).
CONCLUSION: The incidence of depression and anxiety in our Malaysian sample of RA patient was comparable to that observed in Caucasian populations. Functional status was an independent predictor of depression and anxiety, whereas pain was an independent predictor of stress.
METHODS: Standardised anthropometric measurements were compared against the self-reported values from 5,132 adult residents in a cross-sectional, epidemiological survey. Discrepancies in self-reports from measurements were examined by comparing overall mean differences. Intraclass correlations, Cohen's kappa and Bland-Altman plots with limits of agreement, and sub-analysis by sex and ethnicity were also explored.
RESULTS: Data were obtained from 5,132 respondents. The mean age of respondents was 43.9 years. Overall, the height was overestimated (0.2cm), while there was an underestimation of weight (0.8kg) and derived BMI (0.4kg/m2). Women had a larger discrepancy in height (0.35cm, 95% confidence interval [CI] 0.22 to 0.49), weight (-0.95kg, 95% CI -1.11 to -0.79) and BMI (-0.49kg/m2, 95% CI -0.57 to -0.41) compared with men. Height reporting bias was highest among Indians (0.28cm, 95% CI 0.12 to 0.44) compared with Chinese and Malays, while weight (-1.32kg, 95% CI -1.53 to -1.11) and derived BMI (-0.57kg/m2, 95% CI -0.67 to -0.47) showed higher degrees of underreporting among Malays compared with Chinese and Indians. Substantially high self-reported versus measured values were obtained for intraclass correlations (0.96-0.99, P<0.001) and kappa (0.74). For BMI categories, good to excellent kappa agreement was observed (0.68-0.81, P<0.0001).
CONCLUSION: Self-reported anthropometric estimates can be used, particularly in large epidemiological studies. However, sufficient care is needed when evaluating data from Indians, Malays and women as there is likely an underestimation of obesity prevalence.
Methods: One hundred participants (50 good sleepers; 50 poor sleepers) were asked to choose between 2 written scenarios to answer 1 of 2 questions: "Which describes a better (or worse) night of sleep?". Each scenario described a self-reported experience of sleep, stringing together 17 possible determinants of sleep quality that occur at different times of the day (day before, pre-sleep, during sleep, upon waking, day after). Each participant answered 48 questions. Logistic regression models were fit to their choice data.
Results: Eleven of the 17 sleep quality parameters had a significant impact on the participants' choices. The top 3 determinants of sleep quality were: Total sleep time, feeling refreshed (upon waking), and mood (day after). Sleep quality judgments were most influenced by factors that occur during sleep, followed by feelings and activities upon waking and the day after. There was a significant interaction between wake after sleep onset and feeling refreshed (upon waking) and between feeling refreshed (upon waking) and question type (better or worse night of sleep). Type of sleeper (good vs poor sleepers) did not significantly influence the judgments.
Conclusions: Sleep quality judgments appear to be determined by not only what happened during sleep, but also what happened after the sleep period. Interventions that improve mood and functioning during the day may inadvertently also improve people's self-reported evaluation of sleep quality.
Methods: A cross-sectional study was conducted with 500 nurses, selected through multistage cluster sampling, from the hospitals in Shiraz in 2017. The data collection tools were the Siberia Schering's Emotional Intelligence Standard Questionnaire and the Hospital Job Stress Standard Questionnaire, completed through the self-report method. The data were analysed using SPSS 22 software.
Results: The mean scores of emotional intelligence and job stress were 113.59 ± 14.70 (total score = 165) and 97.10 ± 14.27 (total score = 175), respectively. The correlation test showed that there was an inverse relationship between emotional intelligence and job stress (r = -0.474, P < 0.001). Also, the multiple linear regression analysis showed that self-awareness, social consciousness, and income predicted 25% of the job stress in the subjects under study (r2 = 0.25).
Conclusion: Regarding the relatively strong and inverse relationship between the nurses' emotional intelligence and job stress, it is suggested that emotional intelligence workshops be included in the in-service training programs of the nurses.
METHODS: This cross-sectional study was conducted from July to October 2016. All the 140 doctors in 12 public primary care clinics in Kuala Lumpur were invited to participate in this study. However, only 122 doctors (females, 82.8%) completed the self-administered questionnaire that assessed their demography, clinical experience, SCI practice and its barriers, self-efficacy in delivering and knowledge on smoking and SCI.
RESULTS: Only 42.6% of the doctors had good SCI practice. Almost all doctors assessed the smoking status of their patients (98.4%) and advised them to quit (98.4%). However, lesser proportions of the doctors followed up the practice of patients (50.0%), taught smokers on various methods of quit smoking (46.70%) and discussed about the barriers and resources to quit prior to the quit date (27.9%). Less than one-fourth of the doctors were confident in providing SCI. Although 69.7% had previous training in SCI, many felt they had inadequate knowledge (56.6%) and skills (47.5%). Only 11.5% of doctors thought their previous training was enough. Having higher level of knowledge on smoking and SCI was significantly associated with good SCI practice [adjusted Odds Ratio (95% Confidence Intervals): 1.21 (1.02, 1.43), p=0.026].
CONCLUSION: The SCI practiced by the primary care doctors in this study was sub-standard, particularly in assisting smokers to quit and arranging follow up. Low self-efficacy in providing SCI was also common. These inadequacies may be due to poor knowledge and skills, which needs to be improved through effective clinical training.
METHODS: This cross-sectional study aimed to determine factors associated with self-reported HH performance among nurses at Kelantan tertiary care hospitals. A sample of 438 registered nurses was selected through a stratified random sampling method. Self-reported HH performance was assessed using a validated WHO self-administered HH knowledge and perception questionnaire for healthcare workers.
RESULTS: A multiple linear regression analysis was performed to identify the predictors. The factors that significantly predicted self-reported HH performance among nurses included perception score (beta coefficient (β) = 0.260; 95% CI: 0.200, 0.417; p < 0.001), pediatric department (β = -0.104; 95% CI: -9.335, -2.467; p < 0.001), and orthopedic department (β = -5.957; 95% CI: -9.539, -0.720; p < 0.023), adjusted R2 = 0.102; p < 0.001. Nurses with a strong perception and belief in HH were more likely to have better HH performance. Compared to pediatric and orthopedic, surgical departments were associated with better self-reported HH performance.
CONCLUSIONS: This study showed the importance of factors that could improve the intervention's performance in HH strategy. Lack of perception and HH program intervention in departments engaged in patient care could lead to poor HH practices, thus increasing HCAIs and antimicrobial resistance (AMR).
METHODS: We conducted an anonymized survey from May to June 2020 in 33 countries. Knowledge, attitudes, and practices on personal hygiene and social distancing as well as psychological impact of COVID-19 were assessed. Statistical analysis was performed to determine differences in well-being and compliance to social distancing measures between respondents with and without self-reported IBS. Factors associated with improvement or worsening of IBS symptoms were evaluated.
RESULTS: Out of 2704 respondents, 2024 (74.9%) did not have IBS, 305 (11.3%) had self-reported IBS, and 374 (13.8%) did not know what IBS was. Self-reported IBS respondents reported significantly worse emotional, social, and psychological well-being compared with non-IBS respondents and were less compliant to social distancing measures (28.2% vs 35.3%, P = 0.029); 61.6% reported no change, 26.6% reported improvement, and 11.8% reported worsening IBS symptoms. Higher proportion of respondents with no change in IBS symptoms were willing to practice social distancing indefinitely versus those who deteriorated (74.9% vs 51.4%, P = 0.016). In multivariate analysis, willingness to continue social distancing for another 2-3 weeks (vs longer period) was significantly associated with higher odds of worsening IBS.
CONCLUSION: Our study showed that self-reported IBS respondents had worse well-being and compliance to social distancing measures than non-IBS respondents. Future research will focus on occupational stress and dietary changes during COVID-19 that may influence IBS.
STUDY DESIGN AND SETTINGS: The Online Randomized Controlled Trials of Health Information Database was used as the sampling frame to identify a subset of self-recruited online trials of self-management interventions. The authors cataloged what these online trials were assessing, appraised study quality, extracted information on how trials were run, and assessed the potential for bias. We searched out how public and patient participation was integrated into online trial design and how this was reported. We recorded patterns of use for registration, reporting, settings, informed consent, public involvement, supplementary materials, and dissemination planning.
RESULTS: The sample included 41 online trials published from 2002 to 2015. The barriers to replicability and risk of bias in online trials included inadequate reporting of blinding in 28/41 (68%) studies; high attrition rates with incomplete or unreported data in 30/41 (73%) of trials; and 26/41 (63%) of studies were at high risk for selection bias as trial registrations were unreported. The methods for (23/41, 56%) trials contained insufficient information to replicate the trial, 19/41 did not report piloting the intervention. Only 2/41 studies were cross-platform compatible. Public involvement was most common for advisory roles (n = 9, 22%), and in the design, usability testing, and piloting of user materials (n = 9, 22%).
CONCLUSION: This study catalogs the state of online trials of self-management in the early 21st century and provides insights for online trials development as early as the protocol planning stage. Reporting of trials was generally poor and, in addition to recommending that authors report their trials in accordance with CONSORT guidelines, we make recommendations for researchers writing protocols, reporting on and evaluating online trials. The research highlights considerable room for improvement in trial registration, reporting of methods, data management plans, and public and patient involvement in self-recruited online trials of self-management interventions.
Methods: In this cross-sectional survey study, 285 Malaysian elite athletes (170 males, 115 females) aged 15-44 years (M = 18.89, SD = 4.49) completed measures of various PSTs and mental toughness. Latent profile analysis was employed to determine the type and number of profiles that best represent athletes' reports of their use of PSTs in practice and competition settings, and examine differences between these classes in terms of self-reported mental toughness.
Results: Our results revealed three profiles (low, moderate, high use) in both practice and competition settings that were distinguished primarily according to quantitative differences in the absolute levels of reported use across most of the PSTs assessed in practice and competition settings, which in turn, were differentially related with mental toughness. Specifically, higher use of PSTs was associated with higher levels of mental toughness.
Conclusion: This study provides one of the first analyses of the different configurations of athletes' use of PSTs that typify unique subgroups of performers. An important next step is to examine the longitudinal (in) stability of such classes and therefore provide insight into the temporal dynamics of different configurations of athletes' use of PSTs.
METHODS: A cross-section of 163,397 adults aged 35 to 70 years were recruited from 661 urban and rural communities in selected low-, middle- and high-income countries (complete data for this analysis from 151,619 participants). Using blood pressure measurements, self-reported health and household data, concentration indices adjusted for age, sex and urban-rural location, we estimate the magnitude of wealth-related inequalities in the levels of hypertension awareness, treatment, and control in each of the 21 country samples.
RESULTS: Overall, the magnitude of wealth-related inequalities in hypertension awareness, treatment, and control was observed to be higher in poorer than in richer countries. In poorer countries, levels of hypertension awareness and treatment tended to be higher among wealthier households; while a similar pro-rich distribution was observed for hypertension control in countries at all levels of economic development. In some countries, hypertension awareness was greater among the poor (Sweden, Argentina, Poland), as was treatment (Sweden, Poland) and control (Sweden).
CONCLUSION: Inequality in hypertension management outcomes decreased as countries became richer, but the considerable variation in patterns of wealth-related inequality - even among countries at similar levels of economic development - underscores the importance of health systems in improving hypertension management for all. These findings show that some, but not all, countries, including those with limited resources, have been able to achieve more equitable management of hypertension; and strategies must be tailored to national contexts to achieve optimal impact at population level.
METHODS: Parental-proxy scores of the Pediatric Quality of Life Inventory 4.0 core scales were obtained for 179 children with CHD and 172 siblings. Intra-class coefficients were derived to determine the levels of proxy-child agreement in 66 children aged 8-18 years. Multiple regression analysis was used to determine factors that impacted Pediatric Quality of Life Inventory scores.
RESULTS: Proxy scores were lower in children with CHD than siblings for all scales except physical health. Maximum differences were noted in children aged 5-7 years, whereas there were no significant differences in the 2-4 and 13-18 years age groups. Good levels of proxy-child agreement were found in children aged 8-12 years for total, psychosocial health, social, and school functioning scales (correlation coefficients 0.7-0.8). In children aged 13-18 years, the level of agreement was poor to fair for emotional and social functioning. The need for future surgery and severity of symptoms were associated with lower scores.
CONCLUSION: Differences in proxy perception of quality of life appear to be age related. The level of proxy-child agreement was higher compared with other reported studies, with lower levels of agreement in teenagers. Facilitating access to surgery and optimising control of symptoms may improve quality of life in this group of children.