METHODS: A cross-sectional study (n = 230) was conducted using the Pressure Management Inventory on several female dominated health professions within a large public hospital. Analysis of variance was used to show relationship between sources and outcome of pressure. Linear regressions were used to predict which sources of pressure (IV) was linked to the outcomes of occupational pressure (DV).
RESULTS: The number one source of occupational pressure is relationships at work (i.e. with supervisors), and not workload. 'Relationship' is also the key predictor of several negative outcomes of pressure at work. Analysis of variance showed significant differences in two sources of pressures, i.e. Workload (P = 0.04) and Home-work balance (P = 0.03).
CONCLUSION: This paper provides insights into the occupational pressure of women health professionals by highlighting the organisational sources of pressure and the implications for preventing occupational dysfunction secondary to stress at work.
METHODS: Retrospective data on serum calcium and infusion rates was collected from 2011-2015. The relationship between peak calcium efflux (PER) and time was determined using a scatterplot and linear regression. A comparison between regimens was made based on treatment efficacy (hypocalcaemia duration, total infusion amount and time) and calcium excursions (outside target range, peak and trough calcium) using bar charts and an unpaired t-test.
RESULTS: Fifty-one and 34 patients on the original and new regimens respectively were included. Mean PER was lower (2.16 vs 2.56 mmol/h; P = 0.03) and occurred earlier (17.6 vs 23.2 h; P = 0.13) for the new regimen. Both scatterplot and regression showed a large correlation between PER and time (R-square 0.64, SE 1.53, P
Methods: We examined whether (a) PA and (b) selected nsSNPs are associated with adiposity parameters and whether PA interacts with these nsSNPs on these outcomes in adolescents from the Malaysian Health and Adolescents Longitudinal Research Team study (n = 1,151). Body mass indices, waist-hip ratio, and percentage body fat (% BF) were obtained. PA was assessed using Physical Activity Questionnaire for Older Children (PAQ-C). Five nsSNPs were included: beta-3 adrenergic receptor (ADRB3) rs4994, FABP2 rs1799883, GHRL rs696217, MC3R rs3827103, and vitamin D receptor rs2228570, individually and as combined genetic risk score (GRS). Associations and interactions between nsSNPs and PAQ-C scores were examined using generalized linear model.
Results: PAQ-C scores were associated with % BF (β = -0.44 [95% confidence interval -0.72, -0.16], p = 0.002). The CC genotype of ADRB3 rs4994 (β = -0.16 [-0.28, -0.05], corrected p = 0.01) and AA genotype of MC3R rs3827103 (β = -0.06 [-0.12, -0.00], p = 0.02) were significantly associated with % BF compared to TT and GG genotypes, respectively. Significant interactions with PA were found between ADRB3 rs4994 (β = -0.05 [-0.10, -0.01], p = 0.02) and combined GRS (β = -0.03 [-0.04, -0.01], p = 0.01) for % BF.
Conclusion: Higher PA score was associated with reduced % BF in Malaysian adolescents. Of the nsSNPs, ADRB3 rs4994 and MC3R rs3827103 were associated with % BF. Significant interactions with PA were found for ADRB3 rs4994 and combined GRS on % BF but not on measurements of weight or circumferences. Targeting body fat represent prospects for molecular studies and lifestyle intervention in this population.
MATERIALS AND METHODS: Pure tone audiometry test was conducted on 263 residents of a rural village who were not exposed to noise. The pack-years of smoking were computed from the subjects' smoking history. The association between pack-years and hearing impairment was assessed. The combined effect of smoking and age on hearing impairment was determined based on prevalence rate ratio.
RESULTS: There was a statistically significant trend in the number of pack-years of smoking and age as risk factors for hearing impairment. The prevalence rates of hearing impairment for nonsmokers aged 40 years and younger, smokers aged 40 years and younger, nonsmokers older than 40 years of age, and smokers older than 40 years of age were 6.9%, 11.9%, 29.7%, and 51.3%, respectively. The prevalence rate ratio for nonsmokers aged 40 years and younger, smokers aged 40 years and younger, nonsmokers older than 40 years of age, and smokers older than 40 years of age (nonsmokers aged 40 years and younger as a reference group) was 1, 1.7, 4.3, and 7.5, respectively. The prevalence rate ratios showed a multiplicative effect of smoking and age on hearing impairment.
CONCLUSION: Age and smoking are risk factors for hearing impairment. It is clear that smoking and age have multiplicative adverse effects on hearing impairment.
METHODS: A cross-sectional study was conducted among 148 children with SLD and their caregivers. The evaluation consisted of the Movement Assessment Battery for Children-2 (MABC-2) and the Functional Mobility domain from Pediatric Evaluation of Disability Inventory-Computer Adaptive Test (PEDI-CAT). The level of motor performances and functional mobility were determined. A linear regression was then conducted to assess the influence of motor performances that could be accounted for functional mobility scores.
RESULTS: More than half of the children with SLD showed motor performance difficulty in manual dexterity subscale (54.7%). For functional mobility, the mean standard T-score indicated an average level of capability (49.49±15.96). A regression analysis revealed that both manual dexterity and balance were significant predictors for functional mobility. According to the regression coefficients, manual dexterity (B=1.37, β=0.303, sr2=0.077) was found to be a stronger predictor compared to balance (B=0.85, β=0.178, sr2=0.028).
CONCLUSION: Manual dexterity was found to influence functional mobility among children with SLD. Therefore, fine motor skills intervention for children with SLD should emphasize on manual dexterity training. Future studies that involve dual tasks and inclusion of typical children would give useful additional information on motor performances issues in children with SLD.
METHODS: The study included 2322 nationally represented community-dwelling older persons in Malaysia who participated in the baseline study of Neuroprotective Model for Healthy Longevity. In order to test the moderating effect of emotional support on the association between disability and life satisfaction, a series of hierarchical multiple linear regression models were utilized, after controlling for potential covariates associated with life satisfaction.
RESULTS: Bivariate analyses showed that disability negatively predicted life satisfaction, whereas emotional support positively predicted life satisfaction. Furthermore, the moderated hierarchical regression analysis showed that emotional support moderated the association between disability and life satisfaction, after controlling for potential covariates, such that the negative relationship between disability and life satisfaction was stronger for individuals with lower levels of emotional support.
CONCLUSIONS: The presence of emotional support might reduce the negative effects of disability on life satisfaction. These findings have important clinical implications, especially in developing better strategies to help disabled older persons to cope with their disabilities; with the hope that in the long term, a society with healthy longevity can be established. Geriatr Gerontol Int 2018; 18: 1361-1365.