BackgroundOver the last three decades, various instruments were developed and employed to assess medical professionalism, but their measurement properties have yet to be fully evaluated. This study aimed to systematically evaluate these instruments’ measurement properties and the methodological quality of their related studies within a universally acceptable standardized framework and then provide corresponding recommendations.MethodsA systematic search of the electronic databases PubMed, Web of Science, and PsycINFO was conducted to collect studies published from 1990–2015. After screening titles, abstracts, and full texts for eligibility, the articles included in this study were classified according to their respective instrument’s usage. A two-phase assessment was conducted: 1) methodological quality was assessed by following the COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) checklist; and 2) the quality of measurement properties was assessed according to Terwee’s criteria. Results were integrated using best-evidence synthesis to look for recommendable instruments.ResultsAfter screening 2,959 records, 74 instruments from 80 existing studies were included. The overall methodological quality of these studies was unsatisfactory, with reasons including but not limited to unknown missing data, inadequate sample sizes, and vague hypotheses. Content validity, cross-cultural validity, and criterion validity were either unreported or negative ratings in most studies. Based on best-evidence synthesis, three instruments were recommended: Hisar’s instrument for nursing students, Nurse Practitioners’ Roles and Competencies Scale, and Perceived Faculty Competency Inventory.ConclusionAlthough instruments measuring medical professionalism are diverse, only a limited number of studies were methodologically sound. Future studies should give priority to systematically improving the performance of existing instruments and to longitudinal studies.
ObjectivesActive travel to school (ATS)-associated factors had been studied in some developed countries but rarely in China. We studied the associated factors of ATS at individual, parental and built environment domains in northeast China.Design and participantsA cross-sectional survey was conducted among 4–6 grade students in 2017. Sociodemographic features and information of parents were collected using questionnaires, and SuperMap (a geographical information system software) was used to catch built environment features. Logistic regression models were used to examine the relationship between multilevel factors and ATS.ResultsOur study sample comprised 3670 primary school students aged from 8 to 15 (boys=51.0%, ATS=48.8%). Perceived to be fat (OR 1.25, 95% CI 1.00 to 1.55, p<0.05), feeling easy to walk for a short distance (OR 1.63, 95% CI 1.21 to 2.20, p<0.05), mother unemployed (OR 1.52, 95% CI 1.13 to 2.06, p<0.05), higher land use mix (OR 1.23, 95% CI 1.11 to 1.37, p<0.001) and higher density of public transport stations (OR 1.22, 95% CI 1.09 to 1.37, p<0.05) were positively associated with increased possibility of ATS, while higher household annual income (OR 0.60, 95% CI 0.44 to 0.83, p<0.05) and possession of private vehicles (OR 0.56, 95% CI 0.45 to 0.69, p<0.001) were negatively associated with possibility of ATS.ConclusionsThe significant factors associated with ATS were at every examined level, which implies multilevel interventions are needed to encourage ATS. Further interventions could focus on the children’s willingness to lead students to opt for healthy behaviours, and children from wealthier families should be encouraged to choose ATS. Also, the government should improve built environment walkability so as to encourage ATS.
The relationship between serum spermidine levels and future cardiovascular disease risk has not yet been well elucidated in the general population based on community studies. Using a nested case-control study, we estimated the association between serum spermidine level and future stroke. New stroke cases had higher baseline levels of spermidine than controls [182.8 (141.8–231.5) vs. 152.0 (124.3–193.0), P < 0.001]. After multivariable adjustment, individuals with spermidine ≥ 205.9 nmol/L (T3) higher risks of stroke (HR 5.02, 95% CI 1.58–16.02) with the lowest quartile (< 136.9 nmol/L) as reference. The association between serum spermidine levels and risk of stroke seemed to be consistent and was reproducible in our cross-sectional studies. In addition, comparisons of the areas under receiver operator characteristics curves confirmed that a model including spermidine had better discrimination than without (0.755 vs. 0.715, P = 0.04). Here we report a close relationship exists between serum spermidine levels and risk of stroke.
Background: Gestational diabetes mellitus (GDM) is a growing global epidemic. Our study aims to confirm the association between circulatory coiled-coil domain-containing 80 (CCDC80) in pregnant women with GDM, to investigate the discriminatory power of CCDC80 on GDM, and to explore the relationships between this molecular level and clinical cardiometabolic parameters. Methods: A 1:2 matched case-control study with 61 GDM patients and 122 controls was conducted using a propensity score matching protocol. All participants were screened from a multicenter prospective pre-birth cohort: Born in Shenyang Cohort Study (BISCS). During 24 and 28 weeks of gestation, follow-up individuals underwent an oral glucose tolerance test (OGTT) and blood sampling for cardiometabolic characterization. Results: Following propensity score matching adjustment for clinical variables, including maternal age, gestational age, body mass index, SBP and DBP, plasma CCDC80 levels were significantly decreased in patients with GDM when compared with controls (0.25±0.10 vs. 0.31±0.12 ng/ml, P =0.003). Conditional multi-logistic regression analyses after adjustments for potential confounding factors revealed that CCDC80 was a strong and independent protective factor for GDM (ORs <1). In addition, the results of the ROC analysis indicated the CCDC80 exhibited the capability to identify pregnant women with GDM (AUC=0.633). Finally, multivariate regression analyses showed that CCDC80 levels were positively associated with AST, monoamine oxidase, complement C1q, LDL-C, apolipoprotein A1and B, and negatively associated with blood glucose levels at 1 h post- OGTT. Conclusions: Biomarker CCDC80 could be of great value for the development of prediction, diagnosis and therapeutic strategies against GDM in pregnant women.
Background: Gestational diabetes mellitus (GDM) is a growing global epidemic. Our study aims to confirm the association between circulatory coiled-coil domain-containing 80 (CCDC80) in pregnant women with GDM, to investigate the discriminatory power of CCDC80 on GDM, and to explore the relationships between this molecular level and clinical cardiometabolic parameters. Methods: A 1:2 matched case-control study with 61 GDM patients and 122 controls was conducted using a propensity score matching protocol. All participants were screened from a multicenter prospective pre-birth cohort: Born in Shenyang Cohort Study (BISCS). During 24 and 28 weeks of gestation, follow-up individuals underwent an oral glucose tolerance test (OGTT) and blood sampling for cardiometabolic characterization. Results: Following propensity score matching adjustment for clinical variables, including maternal age, gestational age, body mass index, SBP and DBP, plasma CCDC80 levels were significantly decreased in patients with GDM when compared with controls (0.25±0.10 vs. 0.31±0.12 ng/ml, P =0.003). Conditional multi-logistic regression analyses after adjustments for potential confounding factors revealed that CCDC80 was a strong and independent protective factor for GDM (ORs <1). In addition, the results of the ROC analysis indicated the CCDC80 exhibited the capability to identify pregnant women with GDM (AUC=0.633). Finally, multivariate regression analyses showed that CCDC80 levels were positively associated with AST, monoamine oxidase, complement C1q, LDL-C, apolipoprotein A1and B, and negatively associated with blood glucose levels at 1 h post- OGTT. Conclusions: Biomarker CCDC80 could be of great value for the development of prediction, diagnosis and therapeutic strategies against GDM in pregnant women.
Background: Sleep quality in the third trimester of pregnant women is related to mental health. However, There is still a lack of large-scale cohort research in the second trimester to confirms this relationship. We aim to assess the associations of sleep quality during the second trimester with antenatal stress and antenatal and postnatal depression. Methods: We examined 1152 pregnant women from a prospective cohort study in China to assess the associations of sleep quality in the second trimester with antenatal stress, antenatal depression, and postnatal depression. We used linear regression models and logistic regression models to examine the associations of sleep quality (Pittsburgh Sleep Quality Index [PSQI]) during pregnancy with perinatal stress (Pregnancy Pressure Scale [PPS]) and depression (Edinburgh Postnatal Depression Scale [EPDS]) status. We further assessed the relationship in groups divided according to age. Results: PSQI scores were positively associated with antenatal PPS scores (β: 1.52, 95% confidence interval [CI]: 1.28, 1.76), antenatal EPDS scores (β: 0.68, 95% CI: 0.58, 0.78), and postpartum EPDS scores (β: 0.51, 95% CI: 0.38, 0.64). Poor sleep quality was associated with antenatal stress status (odds ratio [OR]: 2.60, 95% CI: 1.79, 3.77), antenatal depression status (OR: 3.42, 95% CI: 2.48, 4.72), and postpartum depression status (OR: 2.40, 95% CI: 1.58, 3.64). The association of sleep quality in the second trimester with depression status was found in women older than 30 years old (OR: 4.12, 95% CI: 2.18, 7.78) and not in women younger than 30 years old. Conclusion: Poor sleep quality in the second trimester among Chinese pregnant women is associated with stress and depression symptoms. Strategies to boost sleep quality should be considered during prenatal health care to improve women’s mental health status.
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