Network characteristics related to the well-being of normals: a comparative base

An efficient method of mapping the networks of members of the general population is described. The method permits examination of the effect of several social participation and social network variables on the well-being of 1,050 subjects. Specifically, an index of avowed happiness is regressed on measures of network size, network density, number of instrumental supporters, number of confidants, kin as a major network component, number of dependent others, number of social contexts, and range of socializing. The regression procedure is carried out separately for male and female subjects. Results show that network size is the best predictor of the well-being of men while range of socializing is the best predictor of the well-being of women. These findings are explained in terms of men's and women's differing social responsibility. In conclusion it is suggested that mental health workers may benefit from an understanding of the differing stresses and supports that networks offer men and women.