METHODS: First, 130 subjects were surveyed by self-entry questionnaire for statistical factors related to social demographics and sedentary behavior. These factors were age (years), gender (man/woman), body mass index (BMI, kg/m2), educational history (>13 years, %), employment (full-time or part-time, yes, %), alcohol intake (a certain amount, yes, %), smoking behavior (yes, %), and marital status (yes, %). BMI, as obtained from the participants' weight and height, was collected from the self-reported questionnaire and assessed. Sitting behavior time as an index of sedentary behavior on workdays, non-workdays, and total time was identified by questionnaire. Data were analyzed using the chi square-test and t-test, respectively. The criterion for a statistically significant difference was p < 0.05.
RESULTS: Finally, 107 subjects (68 men, 39 women) were analyzed. The ratios of social demographic factors of the men versus women group were age (58.5 ± 14.7 vs. 61.0 ± 12.1 years, p = 0.36), BMI (23.1 ± 2.6 vs. 21.8 ± 2.6 kg/m2, p = 0.01), educational history (86.7% vs. 56.4%, p < 0.001), employment (51.5% vs. 10.3%, p <0.001), alcohol intake (86.7% vs. 35.9%, p < 0.001), smoking behavior (30.9% vs. 10.3%, p = 0.01), and marital status (88.2% vs. 100%, p = 0.02). Sitting behavior time was 501.8 ± 254.6 vs. 346.0 ± 153.4 minutes (p < 0.001) on workdays, 415.1 ± 225.3 vs. 320.6 ± 178.7 minutes (p = 0.019) on non-workdays, and 458.5 ± 203.9 vs. 333.3 ± 132.1 minutes (p < 0.001) in total.
CONCLUSION: These findings indicated that social demographic factors and sitting behavior time differed by gender. However, there are some limitations. This was a cross-sectional study conducted in only one city with a small number of participants who completed a self-entry questionnaire. In conclusion, assessment of the differences in social demographic factors and postponement of sedentary behavior for both genders may reduce sitting behavior time in overseas Japanese residents and may help in developing public health strategies.
STUDY DESIGN: Individual data on SRH and important covariates were obtained for 424,791 European and United States residents, ≥60 years at recruitment (1982-2008), in eight prospective studies in the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES). In each study, adjusted mortality ratios (hazard ratios, HRs) in relation to SRH were calculated and subsequently combined with random-effect meta-analyses.
MAIN OUTCOME MEASURES: All-cause, cardiovascular and cancer mortality.
RESULTS: Within the median 12.5 years of follow-up, 93,014 (22%) deaths occurred. SRH "fair" or "poor" vs. "at-least-good" was associated with increased mortality: HRs 1.46 (95% CI 1·23-1.74) and 2.31 (1.79-2.99), respectively. These associations were evident: for cardiovascular and, to a lesser extent, cancer mortality, and within-study, within-subgroup analyses. Accounting for lifestyle, sociodemographic, somatometric factors and, subsequently, for medical history explained only a modest amount of the unadjusted associations. Factors favourably associated with SRH were: sex (males), age (younger-old), education (high), marital status (married/cohabiting), physical activity (active), body mass index (non-obese), alcohol consumption (low to moderate) and previous morbidity (absence).
CONCLUSION: SRH provides a quick and simple tool for assessing health and identifying groups of elders at risk of early mortality that may be useful also in clinical settings. Modifying determinants of favourably rating health, e.g. by increasing physical activity and/or by eliminating obesity, may be important for older adults to "feel healthy" and "be healthy".
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.
DESIGN: Cross sectional data were collected via face-to-face interview from June to August 2019.
SETTING: Eight government community health clinics in Kuala Pilah, a district in Negeri Sembilan state approximately 100km from Malaysian capital city Kuala Lumpur.
PARTICIPANTS: Older adults aged 60 years and above (N = 1984; Mean age 69.2, range 60-93 years) attending all eight government health clinics in the district were recruited for a face-to-face interview about health and well-being.
MEASUREMENT: The Adverse Childhood Experience International Questionnaire (ACE-IQ) and the Revised Conflict Tactics Scale (CTS) were utilized to estimate childhood adversity and elder abuse respectively.
RESULTS: Multiple logistic regression analysis revealed a significant relationship between the number of cumulative ACEs and elder abuse. Compared to older adults with no self-reported adversity, those reporting three ACEs (OR 2.67, 95% CI 1.84,3.87) or four or more ACEs (OR 1.7, 95% CI 1.16, 2.48) had higher risk of any elder abuse occurrence since age 60 years. The effect was most prominent for financial and psychological elder abuse. The associations persisted in multivariate logistic regression models after adjusting for sociodemographic and health factors.
CONCLUSION: Early life adversities were significantly associated with victimization of older adults. Social and emotional support to address elder abuse should recognize that, for some men and women, there is a possibility that vulnerability to maltreatment persisted throughout their life course.
METHODS: This cross-sectional study was conducted among randomly-selected 715 female nurses in Malaysia using pencil-and-paper self-reported questionnaires.
RESULTS: The majority of participants were ever married (87.0%), having children (76.2%), and work in hospital setting (64.8%). The level of household stressors was generally similar between hospital and non-hospital nurses. However, hospital nurses significantly perceived higher level of workplace stressors. Shift work is significantly associated with higher level of household and workplace stressors among nurses in both groups. The level of stress was significantly higher among hospital nurses. Both household and workplace stressors explained about 40% of stress status in both hospital and non-hospital nurses.
CONCLUSION: Hospital nurses are at higher risk of having stressors and stress as compared to non-hospital nurses, probably due to higher proportion of them involved in shift work. Hospital nurses should be given high priority in mitigating stress among nurses.
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).
OBJECTIVE: The aim of this study was to explore the feasibility, preliminary outcome, and acceptability of the webinar intervention conducted in organizations.
METHODS: In total, 2 organizations were invited to participate, and 33 employees participated in this proof-of-concept study. The webinar intervention consisted of 6 1-hour sessions conducted via the Adobe Connect platform, developed by Adobe Inc. The intervention was developed based on a systematic review, focus group studies, and face-to-face self-confidence workshops that utilized cognitive behavior therapy (CBT). The final webinar intervention used CBT and the coping flexibility approach. The structure of the intervention included PowerPoint presentations, animation videos, utilization of chat panels, and whiteboard features. The intervention was conducted live and guided by a consultant psychologist assisted by a moderator. Study outcomes were self-assessed using self-reported Web surveys. The acceptability of the intervention was assessed using self-reported user experience Web surveys and open-ended questions.
RESULTS: The findings showed: (1) evidence of feasibility of the intervention: the webinar intervention was successfully conducted in 3 groups, with 6 1-hour sessions for each group, with 82% (23/28) participants completing all 6 sessions; (2) positive improvements in depression: the linear mixed effects modeling analysis recorded a significant overall effect of time primarily for depression (F2, 48.813=31.524; P
METHODS: Seven hundred seventy individuals aged 55 years (lower age limit) and above were interviewed as to whether they experienced pruritus during the preceding week and the locations involved if present. The association between generalised pruritus, sleep quality, and major systemic risk factors were explored.
RESULTS: 5.97% of respondents reported generalised pruritus. Generalised pruritus was associated with poorer sleep quality, with Pittsburgh Sleep Quality Index score above 6. Mean haemoglobin level was lower in subjects with generalised pruritus (13.14 g/dL) but there was no significant difference in the frequency of generalised pruritus and severe generalized pruritus between subjects with clinically defined anaemia. Also, there were no significant associations between other major systemic risk factors and generalised pruritus in this population-based study. There was no association between generalised pruritus with depression, anxiety or stress.
CONCLUSION: The negative effect of pruritus on sleep quality suggests a possible deleterious effect of pruritus on health and quality of life. Further prospective research on the longer-term effects of pruritus on health status is now warranted. (222 words).
METHODS: Data are drawn from survey and in-depth interviews with Thai migrants who are working in Malaysia. Comparisons are made with a probability sample of working age adults in Thailand. The twenty item Self Reporting Questionnaire (SRQ) was the measure of mental health.
RESULTS: The study found that the migrants, on average, have normal levels of psychiatric symptoms. However, although about 24% of migrants reported more eight or more symptoms that may indicate a need for evaluation. There are many stressors in their lives including distance from families, reduced social support, legal matters surrounding immigration, and discrimination/exploitation of migrant groups.
CONCLUSION: The study highlights the need for policy makers and non-governmental organizations to give attention to migrants' mental health, well-being and sustainable livelihoods.