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Objectives: Body mass estimation from skeletal dimensions is a useful tool when studying archeological human samples. Bony articular surface dimensions of the lower limb have frequently been utilized to estimate body size. In the present study, we investigated the association between knee breadth and body mass in a Northern European population. Our study aimed to confirm both methodology and results presented in earlier studies., Materials and Methods: The study sample consists of 1,290 subjects belonging to the Northern Finland Birth Cohort 1966. Three knee breadth dimensions-femoral biepicondylar breadth, mediolateral breadth of femoral condyles, and mediolateral breadth of the tibial plateau-were measured from subjects' knee PA-radiographs. Measurements and their association with body weight at 31 years were utilized for creating body mass estimation equations using linear regression and reduced major axis regression. Correlations between knee measurements and body weight at three different ages (18, 31, and 46) were also analyzed., Results: Positive associations were detected between each knee breadth variable and weight in the total sample and both genders separately. Body mass estimation equations were created for the total sample, for males and for females. R values of the models ranged from 0.38 to 0.74. Median absolute percent prediction errors ranged from 6.89 to 9.72%. The highest correlations were obtained between knee breadth and body weight in early adulthood., Discussion: Our large sample confirmed that equations derived from knee breadth dimensions are accurate when estimating body mass of modern humans. Knee breadth measurements clearly have a positive association with body weight in early maturity., (© 2019 Wiley Periodicals, Inc.)

Background: Electronic health records (EHRs) are an elementary part of the work of registered nurses (RNs) in healthcare. RNs are the largest group of healthcare workers, and their experiences with EHRs and their informatics competence play a crucial role in a fluent workflow. The present study examined EHR usability factors and nurses' informatics competence factors related to self-reported time pressure and psychological distress., Methods: A nationwide survey was conducted for working-age registered nurses in 2017. The study sample included 3607 nurses (5% men) in Finland. The association of age, sex, employment sector, EHR usability factors, and nurses' informatics competence factors with time pressure and psychological distress were examined with analyses of covariance., Results: The EHR usability factors that were associated with high time pressure were low EHR reliability and poor user-friendliness. Regarding the nurses' informatics competence factors, only low e-Care competence was associated with time pressure. Of the EHR usability factors, low EHR reliability and low support for cooperation were associated with high psychological distress. Of the nurses' informatics competence factors, low e-Care competence was associated with high psychological distress., Conclusions: Unreliability and poor user-friendliness of EHRs seem to be prominent sources of time pressure and psychological distress among registered nurses. User-friendly EHR systems and digital tools in healthcare are needed. Nurses' competence to use eHealth tools to tailor patient care should be strengthened through organizational and regional actions. For example, house rules about how to use eHealth tools and instructions on common practices in cooperation with other organizations could be useful.