METHOD: A prospective cross-sectional study was conducted using the validated Smartphone Addiction Scale-Malay version (SAS-M) questionnaire. One-way ANOVA was used to determine the correlation between the PSU among the students categorised by their ethnicity, hand dominance and by their field of study. MLR analysis was applied to predict PSU based on socio-demographic data, usage patterns, psychological factors and fields of study.
RESULTS: A total of 1060 students completed the questionnaire. Most students had some degree of problematic usage of the smartphone. Students used smartphones predominantly to access SNAs, namely Instagram. Longer duration on the smartphone per day, younger age at first using a smartphone and underlying depression carried higher risk of developing PSU, whereas the field of study (science vs. humanities based) did not contribute to an increased risk of developing PSU.
CONCLUSION: Findings from this study can help better inform university administrators about at- risk groups of undergraduate students who may benefit from targeted intervention designed to reduce their addictive behaviour patterns.
METHODS: This prospective study was conducted among the caregivers of 443 child TB patients registered during the study. Caregivers of children were queried using a structured questionnaire consisting of sociodemographic and socio-economic factors and the role of healthcare workers during the treatment course. Risk factors for non-adherence were estimated using a logistic regression model.
RESULTS: In multivariate analysis, the independent variables that had a statistically significant positive association with non-adherence were male sex (adjusted odds ratio [AOR] 5.870 [95% confidence interval {CI} 1.99 to 17.29]), age ≥45 y (AOR 5.627 [95% CI 1.88 to 16.82]), caregivers with no formal education (AOR 3.905 [95% CI 1.29 to 11.79]), financial barriers (AOR 30.297 [95% CI 6.13 to 149.54]), insufficient counselling by healthcare workers (AOR 5.319 [95% CI 1.62 to 17.42]), insufficient counselling by health professionals (AOR 4.117 [95% CI 1.05 to 16.05]) and unfriendly attitude and poor support from healthcare professionals (AOR 11.150 [95% CI 1.91 to 65.10]).
CONCLUSIONS: Treatment adherence in the present study was 86% using the Morisky Green Levine Medication Adherence Scale and 90.7% using the visual analogue scale tool. Predictors of non-adherence need to be a focus and caregivers should be given complete knowledge about the importance of adherence to TB treatment.
METHODS: A 24-item validated questionnaire including closed and open questions on the teaching of posterior composites was emailed to faculty members in all 13 Dental Schools in Malaysia. Responses were compiled on Excel and analysed.
RESULTS: All 13 dental schools responded to the survey yielding a 100 % response. All schools indicated the use of posterior composites for 2- and 3-surface cavities in premolars and molars. The didactic teaching time devoted to composites was greater than for amalgam (38 h vs 29 h). Clinically, most posterior restorations placed by students were composites (average 74.1 %, range 10 %-100 %); the remaining 25.9 % were amalgams (range, 0 %-50 %). Slot-type cavities were the preparation techniques most commonly taught (n = 11,84.6 %). The use of rubber dam for moisture control was mandatory in most schools (n = 11, 84.6 %). History of adverse reaction to composites was found to be the most common contraindication to composite placement. The phase down of teaching and use of amalgam in Malaysia is expected to occur within the next six years.
CONCLUSION: The trend to increase the teaching of posterior composites reported for other countries is confirmed by the findings from Malaysian dental schools. Notwithstanding this trend, the use of amalgam is still taught, and future studies are required to investigate the implications of the phase down of amalgam in favour of posterior composites.
CLINICAL SIGNIFICANCE: Notwithstanding the increase in the teaching of posterior composites there is a pressing need to update and refine clinical guidelines for the teaching of posterior composites globally.
METHOD: A cross-sectional study was conducted among participants aged > 18 years with asthma who attended five primary health clinics in Malaysia. Systematic random sampling was employed with a final sample of 550 participants. The questionnaires included the validated Malay version of Health Literacy Scale (HLS) and asthma control questionnaire (ACQ). Statistical analysis was done using SPSS version 25. Multiple logistic regression was performed to determine the determinants for limited health literacy.
RESULTS: The participants mean age of the participants was 48 (SD15.4) years. Most of the participants were women (64%) and of Malay ethnicity (51.1%). Nearly half had a secondary level of education, n = 112, (45.8%). Mean duration of asthma diagnosis is 20.6 (SD 15.9) years. More than half (62.5%) had a family history of asthma. About half (50.9%) had uncontrolled asthma, with 87.3% self-rated themselves as having controlled asthma. About a third (29.1%) received education on of asthma action plan, but only 7.1% of these owned a written version an asthma action plan. Limited health literacy accounts for 60.5% of the participants. The significant determinants for limited health literacy included lower educational attainment (p
METHODS: A cross-sectional survey including 706 six-year-old children was conducted in 2017 in Benghazi, Libya. Data were collected through a self-administered questionnaire assessing socioeconomic status and oral health behaviours, and the Arabic version of the Early Childhood Oral Health Impact Scale (A-ECOHIS) to assess the OHRQoL. Clinical examination assessed caries experience at tooth level (dmft) and the number of decayed, missing due to caries and filled teeth (dt, mt and ft). Poisson regression analysis was performed to determine the association between dmft scores and the independent predictors. Linear regression analysis was conducted for ECOHIS scores with the children's gender, SES and OHB. The statistical significance was set to ≤ 0.05.
RESULTS: Data were available for 706 children. Caries prevalence (dt) and dmft of ≥ 1 were 69.1% and 71% respectively. The mean ± SD dmft score was 3.23 ± 3.32. There was a significant and direct association between dmft scores and daily consumption of sugary snacks (B = 1.27, P = 0.011) and a significant inverse association with teethbrushing twice daily (B = 0.80, P = 0.041). There was a significant and direct association between A-ECOHIS and dmft (B = 1.14, P ≤ 0.001) and a significant and inverse association between A- ECOHIS and high and intermediate family income compared to low income (B = -3.82, P = 0.0001 and B = -2.06, P = 0.028).
CONCLUSIONS: 6-year-old Libyan children had a relatively high caries experience an untreated decay with impact on OHRQoL. Social disparities, sugar consumption patterns and oral hygiene practices were associated with high caries experience.
OBJECTIVES: To examine: (i) the relationships between sleep characteristics, including social jetlag, and obesity-related outcomes during childhood, and (ii) whether these relationships are moderated by sex.
METHODS: This cross-sectional study included 381 children aged 9-11 years (49.6% female). Average sleep duration, social jetlag, and physical activity were assessed via wrist-worn accelerometry. Sleep disturbances were quantified from the Children's Sleep Habits Questionnaire. Obesity-related outcomes included age-specific body mass index Z-scores (zBMI) and waist-to-height ratio. Additionally % fat, total fat mass, and fat mass index were assessed via bioelectrical impedance analysis. Linear mixed models that nested children within schools were used to identify relationships among sleep characteristics and obesity-related outcomes.
RESULTS: Positive associations between social jetlag with zBMI, % fat, and fat mass index were seen in univariable and unadjusted multivariable analyses. Following adjustments for known confounders, social jetlag remained significantly associated with zBMI (β = 0.12, p = 0.013). Simple slopes suggested a positive association in girls (β = 0.19, p = 0.006) but not in boys (β = 0.03, p = 0.703).
CONCLUSIONS: Obesity prevention efforts, particularly in girls, may benefit from targeted approaches to improving the consistency of sleep timing in youth.
AIMS: This study determined the use of potentially inappropriate medications according to frailty status using the Beers Criteria 2019, identified medications that should be flagged as potentially inappropriate and harmful depending on individual health factors, and determined the association between frailty and PIMs, adjusted for characteristics associated with PIMs.
METHODS: This prospective longitudinal study included 9355 participants aged 77-82 years at baseline (2003). Frailty was measured using the FRAIL (fatigue, resistance, ambulation, illness and loss of weight) scale. Generalised estimating equations using log-binomial regressions determined the association between frailty and risk of using PIMs.
RESULTS: Among participants who were frail and non-frail at baseline, the majority used ≥ 3 PIMs (74.2% and 58.5%, respectively). At 2017, the proportion using ≥ 3 PIMs remained constant in the frail group (72.0%) but increased in the non-frail group (66.0%). Commonly prescribed medications that may be potentially inappropriate in both groups included benzodiazepines, proton-pump inhibitors and non-steroidal anti-inflammatory drugs, and risperidone was an additional contributor in the non-frail group. When adjusted for other characteristics, frail women had a 2% higher risk of using PIMs (RR 1.02; 95% CI 1.01, 1.03).
CONCLUSION: Given that the majority of frail women were using medications that may have been potentially inappropriate, it is important to consider both frailty and PIMs as indicators of health outcomes, and to review the need for PIMs for women aged 77-96 years who are frail.
METHODS: Body composition, bone mineral density (BMD), and bone mineral content (BMC) at the lumbar spine (LS) and total body (TB) were assessed using dual-energy X-ray absorptiometry (DXA). Calcium intake was assessed using 1-week diet history, MET (metabolic equivalent of task) score using cPAQ physical activity questionnaire, and serum 25(OH) vitamin D using LC-MS/MS.
RESULTS: The mean calcium intake was 349 ± 180 mg/day and mean serum 25(OH)D level was 43.9 ± 14.5 nmol/L. In boys, lean mass (LM) was a significant predictor of LSBMC (β = 0.539, p