The trend of global population aging has led to an increase in the number of studies addressing the determinants of successful aging. Here, we argue that successful aging depends on psychophysical health and the successful overcoming of the generative stage. Therefore, this study aimed to examine the relationship between mentioned variables and selected sociodemographic characteristics of older adults. The study involved 101 respondents (M=71.7; SD=3.06), mostly residing in urban living conditions and having a lower level of education. The surveys were conducted using SC-Q, RAND-36, and the Adapted Loyola Generation Scale. The results of the multiple regression analysis showed that the model consisting of physical and psychosocial health dimensions statistically significantly predicts generativity (F(8,89)=2.17; p<.05). These eight predictors explain 16.3% of the variance in generativity (R2=.163). The t-test for independent samples revealed significant differences between respondents from the city and respondents from the village for the following variables: physical functioning (t=2.23; p<.05), vitality (t=2.16; p<.05), emotional well-being t=2.60; p≤.01), physical pain (t=3.10; p<.01), general health (t=2.65; p≤.01), and generativity (t=3.23; p<.01), while no significant difference was found for other variables. Examining the differences in the physical and psychosocial health variables and generativity showed statistically significant differences between respondents without children and respondents with two children in the level of physical functioning. We also examined differences in variables concerning the order of birth and determined that there are statistically significant differences only in the level of achieved generativity concerning birth order (F(4,95)=3.17; p<.05). Life in rural areas is associated with the unavailability of healthcare, while lower education is associated with lack of adequate coping strategies. Adding to the peculiarities of this cohort, we get a clear picture of the need to ensure a better quality of life for this growing population.

Aim of the studyThe aim of this study is to asses the relationship between postpartum depression and perceived social support, newborn temperament, and selected sociodemographic variables.Subject or material and methodsThe sample consisted of 145 mothers, with an average age of 27, mostly married. The following instruments were used in the research: Questionnaire on sociodemographic characteristics, Neonatal temperament scale, Edinburgh scale of postpartum depression - EPDS and Scale of perceived social support.ResultsThe results showed that reduced social support from partners, friends, and family, difficult newborn temperament, and low socioeconomic status correlated with postpartum depression.DiscussionThe practical implications of the research are reflected in the understanding of social support as a significant predictor of depression in the postpartum period and the implementation of the social component in the system of support and assistance to pregnant women and mothers.ConclusionsRecognizing the factors that cause mood disorders after childbirth is an important part of the diagnosis and prevention of postpartum depression. Postpartum depression is a non-psychotic postpartum mood disorder that can last up to 12 months postpartum. The etiological disorder is still not differentiated because it is differentiated through a bio-psycho-social basis.