METHODOLOGY: A cross-sectional study involved consented adult patients with ≥ 1 dental implant. Two calibrated operators examined the patients. BoP was outcome variable and peri-implant gingival biotype was principal predictor variable. The effects of site, implant, and patient level factors on BoP were assessed using a multilevel logistic regression model.
RESULTS: Eighty patients for a total of 119 implants and 714 sites were included in the study. Bleeding on probing was observed in 42 implants (35.29%) with a significant higher risk observed in presence of gingival recession, thin peri-implant gingival biotype, duration of implant placement, smokers, and male patients.
CONCLUSION: Peri-implant bleeding on probing was associated with site specific, implant, and patient level factors.
METHODS: Secondary analysis was carried out on data collected by the Grand Challenge Project among older adults aged ≥65 years from Selangor. Data on sociodemographic information, medical history, cognitive function and functional performance were obtained through face-to-face interviews using standardized questionnaires. Visual acuity was measured using the Early Treatment Diabetic Retinopathy Study (ETDRS) chart while hearing was assessed using pure-tone audiometry. Descriptive analysis was used to measure the prevalence of the impairments, and logistic regression analysis was used to identify the risk factors.
RESULTS: The prevalence of dual sensory impairment and hearing impairment were at 10.5% and 76.2% respectively. Multivariate logistic regression analysis revealed that participants with lower cognitive scores were associated with dual sensory impairment (odds ratio, 0.90; 95% confidence interval, 0.83-0.98), while smoking was found associated with hearing impairment (odds ratio, 6.58; 95% confidence interval, 1.51-28.65).
CONCLUSION: Dual sensory impairment is common among older adults in Selangor. The association between dual sensory impairment and cognitive function suggests the need to have visual and hearing screening on older adults for early detection particularly those at risk of cognitive impairment. The prevalence of hearing impairment was reported high among older adults and smokers appeared to be at higher risk of the impairment. Geriatr Gerontol Int 2020; 20: 911-916.
METHODS: A cross-sectional study was conducted from April to October 2018 among 479 adolescents aged 17-19 years old from seven institutions of higher learning in Kuantan. Body weight status was described as body mass index (BMI). Weight and height were measured, and BMI was calculated. Validated, self-administered Figure Rating Scale (FRS) questionnaires were used. Agreement between BMI and body weight perception was calculated using Kappa statistics. Logistic regression was employed to examine the association between body weight perception and sociodemographic variables.
RESULTS: More than one-third (35.3%) of the respondents misjudged their own body weight. More than one third of the respondents (38.7%) who were underweight, misperceived themselves as having normal weight whilst 31.7% of obese respondents identified themselves as overweight. The agreement between body weight perception and body mass index was moderate (k0.46, p<0.01).
CONCLUSION: Body weight perception was in moderate agreement with actual weight in late adolescents. Accurate body weight perception is an important factor in late adolescent's weight management behaviour. Hence, health education related to body weight management should be emphasized among this age group.
Methods: A total of 279 older adults aged 60 years and above were randomly selected. Respondents were classified as non-frail (<2 criteria) or frail (≥3 criteria) based on the 'phenotype of frailty'. A binary logistic regression was used to determine predictors of frailty.
Results: The prevalence of frailty was 18.3%. The frail older adults were positively associated with advanced age, being unmarried, hospitalisation in the previous year, poor self-rated health, and lower body mass index.
Discussion: These results give an overview on underlying effects and guiding actions for prevention programmes functioning to reverse and minimise the adverse effects of frailty syndrome.
METHODS: This was a cross sectional study design. A total of 347 respondents from low household income groups, including persons with disability and Orang Asli were recruited from E-kasih. A semi-guided self-administered questionnaire was used. QOL measured by EQ. 5D utility value and health status measured by visual analogue score (VAS). Descriptive statistic, bivariate Chi-square analysis and binary logistic regression were conducted to determine factors influencing low QOL and poor health status.
RESULTS: Majority of the respondents were Malay, female (61%), 63% were married, 60% were employed and 46% with total household income of less than 1 thousand Ringgit Malaysia. 70% of them were not having any chronic medical problems. Factors that associated with low QOL were male, single, low household income, and present chronic medical illness, while poor health status associated with female, lower education level and present chronic medical illness. Logistic regression analysis has showed that determinants of low QOL was present chronic illness [AOR 4.15 95%CI (2.42, 7.13)], while determinants for poor health status were; female [AOR 1.94 95%CI (1.09,3.44)], lower education [AOR 3.07 95%CI (1.28,7.34)] and present chronic illness [AOR 2.53 95%CI (1.39,4.61)].
CONCLUSION: Low socioeconomic population defined as low total household income in this study. Low QOL of this population determined by present chronic illness, while poor health status determined by gender, education level and chronic medical illness.