Diabetes is a global public health challenge, exerting a large socioeconomic burden on healthcare systems. This study aimed to explore Diabetes prevalence and Diabetes medication use in diabetics regarding sex, age group, Physical Activity Level (PAL) and Body Mass Index (BMI) by studying possible differences and calculating the risks of developing Diabetes and Diabetes medication use in the population according to their PAL. A cross-sectional study was conducted using data extracted from the Spanish National Health Survey (ENSE2017). The sample was finally composed of 17,710 participants. A descriptive analysis was performed to characterise Diabetes prevalence and Diabetes medication use (Chi-square test and a z-test for independent proportions). Odds Ratios (OR) and 95% Confidence Intervals (CI) were calculated for Diabetes prevalence and Diabetes medication use according to the participants’ PAL. Both the Diabetes and Diabetes medication use was higher in men than in women, increasing with age and BMI, and decreasing with increasing PAL (p < 0.001). Higher prevalence levels were observed in the inactive group versus very active or active people (p < 0.001). Inactive people had a higher risk of Diabetes and use of Diabetes medication risk compared to the very active and active groups. Prevalence decreased the higher the PAL both in men and women.

Background/Objectives: Prolonged hospitalization affects not only patients but also informal caregivers, who often bear a greater physical and emotional burden. The aim of this study was to analyze the burden, emotional well-being, perceived social support and family functioning among informal caregivers of patients undergoing prolonged hospitalization, as well as to identify the factors associated with the need for support. Methods: A descriptive-correlational cross-sectional study was conducted involving 94 informal caregivers of patients who had been hospitalized for seven days or more. Sociodemographic and care-related variables were collected, along with measures of caregiver burden (Zarit Burden Interview), emotional well-being (GHQ-12), and perceived social (Duke-UNC-11) and family support (Family APGAR). Caregivers who reported needing support were compared with those who did not. Furthermore, a binary logistic regression analysis was performed to identify factors independently associated with the need for support. Results: Caregivers who reported needing support exhibited higher levels of caregiver burden (p = 0.034), poorer emotional well-being (p = 0.010), lower perceived social support (p = 0.014) and poorer family functioning (p < 0.001) than those who did not require support. Significant differences were also observed in the distance between home and the hospital (p = 0.041) and in the length of the hospital stay (p = 0.001). Logistic regression analysis showed that family functioning (OR = 0.749) and length of hospital stay (OR = 1.523) were independently associated with the need for support. Conclusions: Poorer family functioning and a longer hospital stay were associated with a greater need for support among caregivers. Early identification of these factors can help in the design of interventions aimed at improving caregivers’ well-being while their relatives are in hospital.