DESIGN: Exploratory cross-sectional survey administered by trained interviewers among participants of a health screening program.
SETTING: A rural plantation estate in the West Coast of Peninsular Malaysia.
PARTICIPANTS: One hundred and thirty out of 142 adults above 18 years old who attended the program.
MAIN OUTCOME MEASURE: Percentages of respondents reporting realised access and unmet need to health care, determinants of both access indicators and reasons for unmet need. Realised access associated with need but not predisposing or enabling factors and unmet need not associated with any variables were considered equitable.
RESULTS: A total of 88 (67.7%) respondents had visited a doctor (realised access) in the past 6 months and 24.8% (n = 31) experienced unmet need in the past 12 months. Using logistic regression, realised access was associated with presence of chronic disease (OR 6.97, P RM 2000 per month) (OR 51.27, P
DESIGN AND MEASURES: Data were analysed from the Global School-Based Student Health Survey Timor-Leste (n = 3455). An ordered probit model was used to assess the effects of demographic, lifestyle, social, and psychological factors on different levels of worry-related sleep problems (i.e., no, mild and severe sleep problems).
RESULTS: School-going adolescents were more likely to face mild or severe worry-related sleep problems if they were older, passive smokers, alcohol drinkers and moderately active. School-going adolescents who sometimes or always went hungry were more likely to experience worry-related sleep problems than those who did not. Involvement in physical fights, being bullied, and loneliness were positively associated with the probability of having modest or severe worry-related sleep problems.
CONCLUSION: Age, exposure to second-hand smoke, alcohol consumption, physical activity, going hungry, physical fights, being bullied and loneliness are the important determining factors of adolescent worry-related sleep problems. Policymakers should pay special attention to these factors when formulating intervention measures.
METHOD: Data from the Tobacco and E-Cigarette Survey among Malaysian Adolescents (n = 13,117) were analysed. Ordered probit models were used to assess factors associated with passive smoking risk perception (i.e. not harmful, probably not harmful, probably harmful, harmful).
RESULTS: About one-third of adolescents did not perceive that passive smoking was harmful (30.4%). Adolescents with the perception that passive smoking was not harmful were more likely to be students at low grade levels, be males, be non-Malays and be low-pocket-money recipients and those who used e-cigarettes and who smoked. Being aware of anti-smoking advertisements (direct effect = 0.174; indirect effect = 0.012) and taught on the dangers of smoking (direct effect = 0.179; indirect effect = 0.003) partially mediated the positive relationship between grade levels and perceived risk of passive smoking.
CONCLUSION: Policies implemented to reduce exposure to passive smoking should highlight the important role of demographic factors, lifestyle profiles, anti-smoking advertisements and education about the dangers of smoking in improving passive smoking risk perception among adolescents.
MATERIALS AND METHODS: Data from a randomized clinical trial evaluating efficacy of a nonsurgical intervention in women with stress urinary incontinence were used for analyses. The overall score of ICIQ-UI SF ranges from 0 to 21, with greater values indicating increased severity. The ICIQ-LUTSqol ranges from 19 to 76, with greater values indicating increased impact on quality of life. Instruments used in the anchor-based method were the Patient Global Impression of Improvement, patient satisfaction, 1-hour pad test and the incontinence episode frequency. The distribution-based method used an effect size of 0.5 standard deviation. Triangulation of findings was used to converge on a single value of MCID.
RESULTS: At 12-month post-treatment, 106 (88.3%) participants completed the follow-up and were included in the analysis. Anchor-based MCIDs of the ICIQ-UI SF were between 3.4 and 4.4, while the distribution-based MCID was 1.7. Anchor-based MCIDs of the ICIQ-LUTSqol were between 4.8 and 6.9, while the distribution-based MCID was 5.2. Triangulation of findings showed that MCIDs of 4 for ICIQ-UI SF and 6 for ICIQ-LUTSqol were the most appropriate.
CONCLUSION: For women undergoing nonsurgical treatments for incontinence, reductions of 4 and 6 points in ICIQ-UI SF and ICIQ-LUTSqol, respectively are perceived as clinically meaningful.