Background The patient self-report section of the American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form (ASESp) is one of the most validated and reliable assessment tools. This study aimed to establish a validated Chinese version of ASESp (ASESp-CH). Methods A clinical prospective study was performed (ClinicalTrials.gov Identifier: NCT04755049; registered on 2021/02/11). Following the guidelines of forward-backward translation and cross-cultural adaptation, a Chinese version of ASESp was established. Patients older than 18 years with shoulder disorders were included. Patients who could not complete test-retest questionnaires within the interval of 7–30 days and patients who received interventions were excluded. Intraclass correlation (ICC) was calculated for test- retest reliability, whereas internal consistency was determined by Cronbach value. Construct validity was evaluated by comparing the corresponding domains between the ASESp-CH and a validated Chinese version of 36-Item Short Form Health Survey (SF-36). Results A total of 86 patients were included with a mean test-retest interval of 12 ± 5.4 days. Test-retest reliability was excellent with an ICC of 0.94. Good internal consistency was found, with a Cronbach alpha of 0.86. Construct validity of the ASESp-CH questionnaire was good. The major domains of the ASESp-CH were significantly correlated with the respective domains in the SF-36 (p < 0.01), except for the domain of stability of ASESp-CH. Conclusions The Chinese version of ASESp questionnaire is a highly validated and reliable tool for shoulder disorder assessment.
Background: Previous studies have stated that high-income countries tend to have the highest incidence and mortality for all types of cancer, while geographical factors are also linked to the prevalence of cancer. Only a few studies have explored the relevance of economic/geographical factors to the cancer epidemic integrally. Aim: This study aims to explore the diversities of the overall cancer epidemic rates made by geographic and economic variations respectively and their interaction effects, after adjusting gender, population structure. Methods: We collected 170 countries' epidemic data from WHO's 2012 GLOBOCAN project and economic classifications data from the World Bank in 2012. We applied generalized linear model to make 2-way ANOVA and to analyze the variations of 3 epidemic rates (age-standardized incidence, age-standardized mortality and prevalence) between 6 regions (Asia, Africa, Europe, North America, South America, and Oceania) and 4 income levels (high income, upper-middle income, lower-middle income and low income). We identified extreme rates and discuss their reasons and implications, and make suggestions regarding the situations. Results: Both geographic variation and economic variation were key factors for incidence and prevalence of global cancer burden, and the interaction between geographic and economic variations on incidence and prevalence was very strong. However, there was no significant association between income and mortality, and the interaction between geographic and economic variations on mortality was not obvious either. Using South America as the reference, only North America had significant higher incidence rate of cancer; no significant variation of mortality rates between regions was observed; North America and Europe had significant higher prevalence rates. Using low income as the reference, only high and upper-middle income had significant higher incidence rates; no significant variation of mortality rates between regions was observed; only high income had significant higher prevalence rates. Among high-income countries, incidence, mortality and prevalence rates in Europe were significantly higher than them in South America, Asia and Africa. Among countries in Europe, high-income country had significantly higher incidence rate than that in upper-middle cancer, and it also had significant higher prevalence rates than them in upper-middle and lower-middle countries. Conclusion: Overall, the cancer incidence and prevalence are significantly different due to the country's geographical location and economic level, but the mortality rate is not. Understanding the differences in geographical location and economic levels between countries and their interactions on the cancer epidemic would benefit the future global cancer prevention and treatment policy planning.
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