Main Article Content
This predictive correlation descriptive research aimed to identify factors predicting active aging among middle-age adults in suburban area. The samples were 360 middle-aged adults in a suburban area in Mahasarakham province. They were selected by using multiple stage random sampling technique. The research instruments measured 1) active aging, 2) social support, and 3) self-efficacy. The instruments had internal reliabilities of 0.97, 0.95 and 0.96, respectively. Data were analyzed using descriptive statistics and stepwise multiple regression. The results showed that social support, self-efficacy, education above a primary level, single marital status, and sufficiency of income jointly and significantly explained 41.4% of active aging among middle-aged adults (R2 = 0.414, F = 52.131, p < .001).
The results provide guidance for healthcare providers to understand what salient psychosocial factors are related to preparing middle-aged adults to transition into older adults with active aging. Healthcare providers should create programs to enhance self-efficacy and social support for this age group to promote and maintain positive well-being and good health.