Social demographic factors and leisure time physical activity influencing the self-rated health and happiness of Chinese people

Background and aims:The holistic definition of health is not merely the absence of disease or infirmity,but a state of complete physical,mental,and social well-being.However,related research on the influencing factor of self-rated health and happiness have generally remained separate.Therefore,this study aimed to 1)find individual level determinants of the two facets of health;and 2)investigate the covariance of the two facets of health within individual levels.Methods:Multivariate multilevel analysis of self-rated health and happiness at level 1,were nested within 10,968 people at level 2.Data were obtained from the 2015 Chinese General Social Survey.Results:Lower happiness and self-rated health were found in 1)females;2)the elderly;3)people with a lower educational level;4)people who were presently single;5)people with a lower self-rated economic status;6)people who resided in urban areas;and 7)people with sedentary lifestyles as compared to those in other categories of the same variable.After adjusting the related individual level determinants,the correlation coefficient of two facets of health at the individual level is 0.19,which indicates that no robust covariance was observed.Conclusions:The current study indicates the existence of disparity in the subjective physical and psychological dimensions of health among the elderly in China.Our findings emphasize the importance of paying attention to different aspects of health simultaneously in investigations and the benefits of leisure time activities.

Formidable females redux:male social integration into female networks and the value of dynamic multilayer networks

The development of multilayer network techniques is a boon for researchers who wish to understand how different interaction layers might influence each other,and how these in turn might influence group dynamics.Here,we investigate how integration between male and female grooming and aggression interaction networks influences male power trajectories in vervet monkeys Chlorocebus pygerythrus.Our previous analyses of this phenomenon used a monolayer approach,and our aim here is to extend these analyses using a dynamic multilayer approach.To do so,we constructed a temporal series of male and female interaction layers.We then used a multivariate multilevel autoregression model to compare cross-lagged associations between a male's centrality in the female grooming layer and changes in male Elo ratings.Our results confirmed our original findings:changes in male centrality within the female grooming network were weakly but positively tied to changes in their Elo ratings.However,the multilayer network approach offered additional insights into this social process,identifying how changes in a male's centrality cascade through the other network layers.This dynamic view indicates that the changes in Elo ratings are likely to be short-lived,but that male centrality within the female network had a much stronger impact throughout the multilayer network as a whole,especially on reducing intermale aggression(i.e.,aggression directed by males toward other males).We suggest that multilayer social network approaches can take advantage of increased amounts of social data that are more commonly collected these days,using a variety of methods.Such data are inherently multilevel and multilayered,and thus offer the ability to quantify more precisely the dynamics of animal social behaviors.