DESIGN: Two-year prospective cohort study.
SETTING: Kuala Pilah, a district in Negeri Sembilan approximately 100 km from the capital city, Kuala Lumpur.
PARTICIPANTS: Community-dwelling older adults aged 60 and older. Using a multistage cluster sampling strategy, 1,927 respondents were recruited and assessed at baseline, of whom 1,189 were re-assessed 2 years later.
MEASURES: EAN was determined using the modified Conflict Tactic Scale, and chronic pain was assessed through self-report using validated questions.
RESULTS: The prevalence of chronic pain was 20.4%. Cross-sectional results revealed 8 variables significantly associated with chronic pain-age, education, income, comorbidities, self-rated health, depression, gait speed, and EAN. Abused elderly adults were 1.52 times as likely to have chronic pain (odds ratio=1.52, 95% confidence interval (CI)=1.03-2.27), although longitudinal analyses showed no relationship between EAN and risk of chronic pain (risk ratio=1.14, 95% CI=0.81-1.60). This lack of causal link was consistent when comparing analysis with complete cases with that of imputed data.
CONCLUSION: Our findings indicate no temporal relationship between EAN and chronic pain but indicated cross-sectional associations between the two. This might indicate that, although EAN does not lead to chronic pain, individuals with greater physical limitations are more vulnerable to abuse. Our study also shows the importance of cohort design in determining causal relationships between EAN and potentially linked health outcomes.
DESIGN: A systematic review was conducted using electronic databases of CINAHL, PubMed, PsychINFO, Psychology and Behavioural Sciences Collection, SocINDEX and Web of Science for articles published until the 11th of January 2018.
ELIGIBILITY CRITERIA: All observational studies investigating the association between social support and depression among community-dwelling older adults in Asia were included.
PARTICIPANTS: Older adults aged 60 years and more who are living in the community.
EXPOSURE MEASURES: Social support.
OUTCOME MEASURES: Depression.
RESULTS: We retrieved16 356 records and screened 66 full-text articles. Twenty-four observational studies were included in the review. They consisted of five cohort studies and 19 cross-sectional studies. Social support was found to be measured by multiple components, most commonly through a combination of structural and functional constructs. Perceived social support is more commonly measured compared with received social support. Good overall social support, having a spouse or partner, living with family, having a large social network, having more contact with family and friends, having emotional and instrumental support, good support from family and satisfaction with social support are associated with less depressive symptoms among community-dwelling older adults in Asia.
CONCLUSIONS: There were 20 different social support measures and we applied a framework to allow for better comparability. Our findings emphasised the association between good social support and decrease depression among older adults. Compared with western populations, family support has a greater influence on depression among community-dwelling older adults in Asia. This indicates that the family institution needs to be incorporated into designed programmes and interventions when addressing depression in the Asian context. TRIAL : registration number : CRD42017074897.
METHODS: Self-administered questionnaires were distributed to 233 undergraduate dental students involved with clinical teaching. This modified and validated questionnaire focusing on students' learning environment was used in order to gain relevant information related to dental clinical teaching. Six domains with different criteria applicable to clinical teaching in dentistry were selected consisting of modelling (four criteria), coaching (four criteria), scaffolding (four criteria), articulation (four criteria), reflection (two criteria) and general learning environment (six criteria). Data analyses were performed using IBM SPSS Statistics 20.
RESULTS: Majority of the students expressed positive perceptions on their clinical learning experience towards the clinical teachers in the Faculty of Dentistry, University of Malaya, in all criteria of the domains. Few negative feedbacks concerning the general learning environment were reported.
CONCLUSION: Further improvement in the delivery of clinical teaching preferably by using wide variety of teaching-learning activities can be taken into account through students' feedback on their learning experience.
MATERIALS AND METHODS: Searches of electronic databases (PubMed, Embase, CINAHL, Cochrane) were undertaken for randomized controlled trials describing weight loss outcomes in adults at 5 years postoperatively. Where sufficient data was available to undertake meta-analysis, the Hartung-Knapp-Sidik-Jonkman estimation method for random effects model was utilized. The review was registered with PROSPERO and reported following in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
RESULTS: Five studies met the inclusion criteria totaling 1028 patients (LVSG=520, LRYGB=508). Moderate but comparable levels of bias were observed within studies. Statistically significant body mass index loss ranged from -11.37 kg/m (range: -6.3 to -15.7 kg/m) in the LVSG group and -12.6 kg/m (range: -9.5 to -15.4 kg/m) for LRYGB at 5 years (P<0.001). Systematic review suggested that LRYGB produced a greater weight loss expressed as percent excess weight and percent excess body mass index loss than LVSG: this was not corroborated in the meta-analysis.
CONCLUSIONS: Five year weight loss outcomes suggest both LRYGB and LVSG are effective in achieving significant weight loss at 5 years postoperatively, however, differences in reporting parameters limit the ability to reliably compare the outcomes using statistical methods. Furthermore, results may be impacted by large dropout rates and per protocol analysis of the 2 largest included studies. Further long-term studies are required to contradict or validate the results of this meta-analysis.