Liping Huang, Zhenghuan Li, Ruikang Luo, Rong Su
Missing Traffic Data Imputation with a Linear Generative Model Based on Probabilistic Principal Component Analysis
Sensors (Basel, Switzerland)
low neuroticism high extraversion high conscientiousness related physical activity pa tested whether small size heterogeneity relationships result personality traits influence one another well narrow facets rather broad domains contain specific variance relevant pa participants men women enrolled university north carolina alumni heart study completed revised neo personality inventory neopir reported past months average activity 8point scale study 1 examined prospective correlations five neopir domains pa studies 2 3 used multinomial logistic regression examine associations pa trait pair combinations personality styles controlling age sex educational achievement relationship status depression study 1 revealed lower neuroticism n agreeableness higher conscientiousness c predicted pa taken together studies 2 3 found combination high extraversion e high openness related higher pa combinations low e high low e low c related lower pa study 3 examined activity facet e e4 found e4 important driver epa associations personality traits operate isolation may influence traits expressed nonadditive effects impact pa assessment personality styles could help identify individuals risk pa avoidance may useful developing personalized interventions psycinfo database record c 2024 apa rights reserved