Akademik Veri Yönetim Sistemi
BMC PSYCHOLOGY, cilt.13, sa.1, 2025 (SSCI, Scopus)
Aim The aim of this study was to examine the reasons for cycling and well-being levels of individuals who ride bicycles. Method This study was conducted using a screening model with 230 participants, with approval from the Dicle University Social and Human Sciences Ethics Committee. Data were collected using the Well-Being Scale and Ko & ccedil;ak's Reasons for Cycling Questionnaire, and analyzed using SPSS. Descriptive statistics and parametric tests were applied for normally distributed data; groups were compared using the Independent Samples T-Test and ANOVA, with Tukey post-hoc tests for significant differences. Additionally, Pearson correlation analysis was conducted to examine the relationship between reasons for cycling and psychological well-being, and simple linear regression analysis was conducted to assess the predictive effect of reasons for cycling on psychological well-being. Results According to the research findings, no significant difference was found based on gender, income level, or duration of bicycle use. However, in terms of marital status, married individuals were found to have higher psychological well-being levels than single individuals. A statistically significant difference was found in terms of age, with participants aged 39 and above having higher well-being levels than those aged 18-28 and 29-38 age range. Analysis based on the education level variable revealed a statistically significant difference between the groups. According to the Tukey test results, university graduates were found to have higher levels of well-being than middle school graduates. In terms of employment status, public employees were found to have higher well-being levels than unemployed individuals. Furthermore, a positive and statistically significant correlation was found between the total score for reasons for cycling and psychological well-being (r = .244, p < .000). Simple linear regression analysis revealed that the total score for reasons for cycling is a significant predictor of psychological well-being (R-2 = 0.059, F(14, 380) = 15.485, p < .000). Accordingly, each unit increase in the total score for reasons for cycling corresponded to a 0.178 unit increase in psychological well-being (B = 0.178, beta = 0.244, t = 3.792, p < .000). Conclusion As a result of this study, it was concluded that the participants used bicycles mostly for travelling and relaxation. It was observed that individuals who used bicycles for these purposes also had high levels of well-being.