Objective: to investigate the association between frailty, loneliness and depressive symptoms of elderly caregivers. Method: a cross - sectional study carried out with 341 elderly caregivers enrolled in Family Health Units of a city in the countryside of São Paulo State. The interviews were domiciliary and included questionnaire for characterization of the caregiver, Fried’s frailty phenotype, family APGAR (family functionality), Geriatric Depression Scale (depressive symptoms) and item 3 of the Herth Hope Scale (loneliness). Logistic regression was used to analyze the association between depressive symptoms and solitude (independent variables), and frailty and pre-frailty (dependent variables). Results: there was an association between frailty, loneliness and depressive symptoms. Elderly caregivers had increased odds of 158% presenting pre-frailty, and 360% of frailty. Elderly caregivers with depressive symptoms had an increased chance of 242% of presenting fragility. Conclusion: elderly and lonely caregivers with depressive symptoms are more likely to be frail and pre-frail.

The association between cognitive impairment and physical frailty has been studied in older adults. The criteria degree of frailty may be keys to associated cognitive impairment. Objective: To analyze the association between cognitive impairment and the criteria for frailty. Methods: We cross-sectionally examined data from 667 older adults (≥60 years of age) from a study entitled ‘Variables associated to cognition in elderly caregivers’ involving patients in an urban and rural primary healthcare center. We defined cognitive impairment based on different groups of scores on the Mini Mental State Examination, and defined frailty and prefrailty using the criteria by the Cardiovascular Health Study. We performed multinomial regression models to analyze the association between levels of frailty and cognitive impairment. Results: Similar proportions of women (54.8%) and men (45.2%) participated in the study (mean age: 71 years old). We found cognitive impairment, prefrailty and frailty in 34, 54, and 24% of the participants, respectively. Concomitant cognitive impairment and frailty was found in 13% of them. The chances of cognitive impairment increased up to 330% (Odds Ratio [OR]: 4.3; 95% confidence interval [95%CI] 2.4‒7.7; p<0.001) among frail individuals, and 70% (OR: 1.7; 95%CI 1.0‒2.8; p=0.033) among prefrail individuals compared to robust/non-frail individuals. After controlling for age, education, place of residence and functional dependence, slowness and fatigue criteria were significantly associated with cognitive impairment. Conclusion: Older adults with frailty have a greater likelihood of concomitant cognitive impairment than prefrail and robust older adults. The prevalence of cognitive impairment and frailty is consistent with data reported in literature. The present findings contribute to the investigation of cognitive frailty.

Objective: to evaluate the relation between stress and optimism of elderlies who are informal caregivers for elderlies and live with children. Method: cross-sectional study on 50 elderlies who provide care to elderlies, live with children, and are registered in the primary health care. The interviews occurred in the participant's residence and we evaluated characteristics of the care-dependent elderly and of the children, sociodemographic characteristics, stress through the Perceived Stress Scale and optimism through the Pinto and Pais-Ribeiro Spirituality Scale, in the elderly caregiver. For statistical analysis we used the Spearman correlation test. Results: the mean level of stress was 23.9 points and of optimism was 3.3 points. Correlation analysis showed that the higher the level of optimism the significantly lower the level of perceived stress of elderlies who provided care to elderlies and lived with children. Conclusion: inversely proportional correlation was identified between stress and optimism.

Objectives: To explore the socioeconomic, demographic and psychosocial factors associated with cognitive performance in elderly caregivers from Brazil. Methods: We evaluated 351 Brazilian elderly caregivers attending primary healthcare services regarding sociodemographic and care variables. Addenbrooke's Cognitive Examination-Revised (ACE-R) domains of orientation/attention, memory, verbal fluency, language and visuospatial were used as dependent variables in the Tobit model. Results: Literacy and family income were positively associated with all ACE-R domains. Age, gender, time of care (days/week) were negatively associated with some cognitive domains. Moreover, receiving emotional help and the level of hope were positively associated with specific domains. Discussion: The results may be useful for planning interventions aimed at elderly caregivers in order to prevent deficits in the different cognitive domains.

Given the benefits of adequate family function for the health and well-being of older adults, it is important to understand what factors predict adequate family function in older people who care for their spouses. Objective: Analyse predictors of family function in older spousal caregivers. Methods: A cross-sectional study design was used to investigate a non-probabilistic sample of 298 older spousal caregivers. Home-based face-to-face interviews were used to evaluate sociodemographic variables and care context, family function (Family APGAR), cognitive function, perceived stress, and depressive symptoms. Data were analysed using multiple logistic regression with stepwise forward method for variable section. Results: Older caregivers having some degree of cognitive impairment (OR=-0.160, 95%CI 0.444–0.579), depressive symptoms (OR=-0.848, 95%CI 0.726–0.992) or high levels of stress (OR=-0.955, 95%CI 0.914-0.999) had overall lower levels of family function. Having more children was linked to approximately 1.3 times higher family function (95%CI 1.080–1.057). Conclusion: Stress, depression, cognitive decline, and number of children are predictors of family function and should be considered in social and health care strategies within the family caregiving context.

The task of caring can negatively affect the physical and mental health; therefore, it is important to understand which factors are associated with burden in older caregivers of older adults. Objective: This study aimed to explore sociodemographic, clinical, and psychosocial factors associated with burden in older caregivers of older adults. Methods: This is a cross-sectional study developed with 349 older caregivers who were registered at a Family Health Unit of a city in the state of São Paulo, Brazil. Household interviews were conducted and data were collected on the sociodemographic (profile, family income), clinical (self-reported pain, sleep, frailty), and psychosocial (burden, family functioning, depressive symptoms, stress) characteristics of the caregivers as well as dependence on activities of daily living and cognition in the care recipients. Results: Women predominated in the sample (76.5%) and mean age was 69.5 years. The mean burden score was 18.06 points, with 47.9% above the cutoff of 16 points, denoting excessive burden. The bivariate model revealed associations between burden and financial insufficiency, family dysfunction, difficulty sleeping, pain, perceived stress, depressive symptoms, frailty, and multimorbidity among the caregivers as well as worse functional and cognitive performance in the care recipients. The controlled model revealed an association between burden and depressive symptoms (β=16.75; 95%CI 1.80–31.68). Conclusions: We identified an association between burden and depressive symptoms, underscoring the need for the planning and implementation of specific actions directed at caregivers in order to minimize the impact on health and to improve the quality of life.