\n\nMain outcome measuresParticipants completed an 8-item MMAS-K questionnaire, and the community health practitioners manually measured blood pressure. Factor analysis and correlation coefficient for validity and the Kuder-Richardson alpha coefficient for reliability PFTα of the MMAS-K were used, while the association between medication adherence and blood pressure control was determined

using Fisher’s exact test.\n\nResultsInternal consistency reliability was acceptable with a coefficient alpha of 0.71. The factor analysis of construct validity identified two dimensions of the 8-item MMAS-K, explaining 52.22% of the total variance. There was a high correlation between the 8-item MMAS-K and the original 4-item MMAS (r=0.874), indicating that these

scales measure theoretically related constructs for convergent validity. There was a significant association between the 8-item MMAS-K score and blood pressure control (P<0.05), indicating that, for the known-groups validity, the controlled blood pressure group was more likely to have higher rate of medication adherence than the poor-control group.\n\nConclusionsThe findings indicate a positive association between medication adherence and blood pressure control. The 8-item MMAS-K possesses adequate validity and reliability among rural selleck chemicals older adults with hypertension.”
“Our species, Homo sapiens, evolved in Africa, and humanity’s highest levels of genetic diversity

are maintained there today. Underlying genetic diversity combined with the great range of solar regimes and climatic conditions found in Africa has contributed to a wide range of human integumentary phenotypes within the continent. Millions of Africans have moved, voluntarily and involuntarily, to other continents Proteasome inhibitor in the past 2000 years, and the range of integumentary phenotypes among admixed African diaspora populations is enormous. In this contribution, we do not catalog this variation, but provide basic evolutionary background as to how it developed in the first place.”
“Although previous research has shown personality and sleep are each substantial predictors of health throughout the lifespan, little is known about links between personality and healthy sleep patterns. This study examined Big Five personality traits and a range of factors related to sleep health in 436 university students (M-age = 19.88, SD = 1.50, 50% Male). Valid self-report measures of personality, chronotype, sleep hygiene, sleep quality, and sleepiness were analyzed. To remove multicollinearity between personality factors, each sleep domain was regressed on relevant demographic and principal component-derived personality factors in multiple linear regressions.