Both rTMS and TDCS may be feasible and safe modalities for treating FM. The general effects of rTMS and TDCS are compatible in FM patients. M1 stimulation may be better in pain reduction and the dorsolateral prefrontal cortex may be better in depression improvement.

The results demonstrated that the ADL CAT is quick to administer, reliable, and valid in outpatients with stroke.

Understanding the predictive pathways of the integrated HL model could help clinicians to tailor HL interventions using a patient's personal determinants to facilitate participation in decision making and promote health for breast cancer patients.

Background: The proportion of injury deaths with unspecified external cause codes has been used as an indicator of the level of comprehensiveness and specificity of information on death certificates provided by certifiers. Objective: To compare the proportion of unspecified external cause codes across countries. Methods: Multiple-cause-of-death mortality data for people who died in 2001 due to external causes in Australia, Sweden, Taiwan and the USA were used for this international comparison study. The proportion of injury deaths coded as due to an unspecified external cause (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, ICD-10, chapter XX) to all injury deaths in each block was calculated.Results: Sweden (33%) had the highest proportion of use of the least specific code (ICD-10 code X59 exposure to unspecified factor), followed by Australia (17%), Taiwan (13%) and the USA (7%). More than two-thirds of the deceased for whom an ICD-10 code X59 was assigned in Sweden and Australia were those aged >65 years, and more than half of them had femoral fractures. The percentage of use of the unspecified codes within specific groups of external causes was relatively high for falls and unintentional drowning. Conclusions: Caution should be used in examining the compensatory effects of the unspecified external event code (ICD-10 code X59) on specific external causes (especially falls) when making international comparisons. Efforts are needed to educate certifiers to report sufficient information for specific coding so as to provide more useful information for injury prevention.

The prevalence of CTS symptoms was not high among the group of male VDT workers studied. Job seniority, but not specific tasks, was associated with CTS symptoms. More reliable and valid methods to quantify the ergonomic exposure are needed to establish the association of VDT tasks and CTS.

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Background Worldwide, an estimated 38.0 million people lived with the human immunodeficiency virus in 2019, and 3.4 million young people aged 15~24 years were living with HIV. Sub-Saharan Africa carries a significant HIV burden with West and Central Africa most affected with HIV. Among the young people living with HIV in West and Central Africa, an estimated 810,000 were aged 15~24 years. This study aimed to assess predictors that influence the uptake of HIV testing among youth aged 15~24 years in The Gambia. Methods The 2013 Gambia Demographic and Health Survey data for youth aged 15~24 years was used. The Andersen behavioral model of health service use guided this study. A cross-sectional study design was used on 6194 subjects, among which 4730 were female. The analysis employed Chi-squared tests and hierarchical logistic regression. Results Less than one-quarter of the youth 1404 (22.6%) had ever been tested for HIV. Young people aged 20~24 years (adjusted odds ratio (aOR): 1.98), who were females (aOR: 1.13), married youth (aOR: 3.89), with a primary (aOR: 1.23), secondary or higher education (aOR: 1.46), and who were from the Jola/Karoninka ethnic group (aOR: 1.81), had higher odds of having been tested for HIV. Those with adequate HIV knowledge and those who were sexually active and had aged at first sex ≥15 years (aOR: 3.99) and those <15 years (aOR: 3.96) were more likely to have been tested for HIV compared to those who never had sex. Conclusion This study underscores the low level of model testing on HIV testing among youth (15~24 years) in The Gambia. Using Anderson’s Model of Health Service Utilization, the predisposing factors (socio-demographic and HIV knowledge) and the need-for-care factors (sexual risk behaviors) predict healthcare utilization services (HIV testing) in our study; however, only socio-demographic model explained most of the variance in HIV testing. The low effect of model testing could be related to the limited number of major variables selected for HIV knowledge and sexual risk behavior models. Thus, consideration for more variables is required for future studies.

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