Objective: To analyze the association between vulnerability, nutritional aspects, frailty, and quality of life (QoL) in older adults receiving care from Primary Health Care (PHC) services in an urban area.Methods: This was a cross-sectional study conducted with community-dwelling older adults. The following instruments were used to assess the variables of interest: the Vulnerable Elders Survey (VES-13), Mini Nutritional Assessment (MNA), Edmonton Frailty Scale (EFS), and the Medical Outcomes Study Short Form-36 (SF-36). Statistical procedures included association analyses, Spearman’s correlation, and binary logistic regression to identify predictors of the outcome.Results: A total of 323 individuals participated in the study, of whom 148 (45.8%) were classified as vulnerable according to the VES-13. Vulnerability showed a moderate negative correlation with nutritional status (r = -0.38; p < 0.001). Frailty (EFS) and quality of life (SF-36) showed strong correlations, especially in domains related to physical and functional aspects (r > 0.49; p < 0.050). Binary logistic regression revealed frailty (EFS) as the main predictor of vulnerability (R² = 0.20; p < 0.001; OR = 1.35 [95% CI: 1.24–1.48]), with functional independence (R² = 0.25; p < 0.001; OR = 3.96 [95% CI: 2.74–5.73]) and functional performance (R² = 0.17; p < 0.001; OR = 3.21 [95% CI: 2.21–4.67]) being the domains that most strongly increased the odds of vulnerability.Conclusion: There was a significant association between vulnerability, nutritional status, frailty, and quality of life. More refined analyses highlighted frailty, particularly in its functional domains, as a key predictor of vulnerability among older adults.

Objective: To analyze the association between vulnerability, nutritional aspects, frailty, and quality of life (QoL) in older adults receiving care from Primary Health Care (PHC) services in an urban area.Methods: This was a cross-sectional study conducted with community-dwelling older adults. The following instruments were used to assess the variables of interest: the Vulnerable Elders Survey (VES-13), Mini Nutritional Assessment (MNA), Edmonton Frailty Scale (EFS), and the Medical Outcomes Study Short Form-36 (SF-36). Statistical procedures included association analyses, Spearman’s correlation, and binary logistic regression to identify predictors of the outcome.Results: A total of 323 individuals participated in the study, of whom 148 (45.8%) were classified as vulnerable according to the VES-13. Vulnerability showed a moderate negative correlation with nutritional status (r = -0.38; p < 0.001). Frailty (EFS) and quality of life (SF-36) showed strong correlations, especially in domains related to physical and functional aspects (r > 0.49; p < 0.050). Binary logistic regression revealed frailty (EFS) as the main predictor of vulnerability (R² = 0.20; p < 0.001; OR = 1.35 [95% CI: 1.24–1.48]), with functional independence (R² = 0.25; p < 0.001; OR = 3.96 [95% CI: 2.74–5.73]) and functional performance (R² = 0.17; p < 0.001; OR = 3.21 [95% CI: 2.21–4.67]) being the domains that most strongly increased the odds of vulnerability.Conclusion: There was a significant association between vulnerability, nutritional status, frailty, and quality of life. More refined analyses highlighted frailty, particularly in its functional domains, as a key predictor of vulnerability among older adults.

Objective:To investigate the association between the risk of violence against older adults and factors such as frailty, depressive symptoms, and nutritional status in a population receiving care in Primary Health Care (PHC).Methods:This was an observational, cross-sectional, and quantitative study conducted between June 2023 and March 2024 in the municipalities of Santa Cruz and Macaíba, Rio Grande do Norte, Brazil. The study included 323 older adults (≥ 60 years old) registered in the PHC system. Data collection utilized validated instruments, including the Hurt, Insult, Threaten, Scream - Elder Abuse Screening Test (H-S/EAST) to assess violence risk, the Conflict Tactics Scales Form R (CTS-1) for classifying violence situations, the Edmonton Frailty Scale (EFS) for frailty, the Geriatric Depression Scale (GDS-15) for depressive symptoms, and the Mini Nutritional Assessment (MNA) for nutritional status. Statistical analyses included descriptive statistics, chi-square tests, Mann-Whitney U tests, Spearman correlations, and binary logistic regression.Results:Among participants, 46.1% were at risk of violence. Absence of verbal aggression, adequate social support, emotional independence, and better functionality were protective factors against violence. Advanced frailty (OR = 2.43), depressive symptoms (OR = 2.49), and malnutrition (OR = 1.52) were significantly associated with the risk of abuse. Logistic regression identified mood (R² = 0.19) and depressive symptoms (R² = 0.19) as the main predictors of violence.Conclusion:A significant association was found between the risk of abuse and multidimensional factors, particularly a history of violent situations, frailty, and depressive symptoms.

Objective:To investigate the association between the risk of violence against older adults and factors such as frailty, depressive symptoms, and nutritional status in a population receiving care in Primary Health Care (PHC).Methods:This was an observational, cross-sectional, and quantitative study conducted between June 2023 and March 2024 in the municipalities of Santa Cruz and Macaíba, Rio Grande do Norte, Brazil. The study included 323 older adults (≥ 60 years old) registered in the PHC system. Data collection utilized validated instruments, including the Hurt, Insult, Threaten, Scream - Elder Abuse Screening Test (H-S/EAST) to assess violence risk, the Conflict Tactics Scales Form R (CTS-1) for classifying violence situations, the Edmonton Frailty Scale (EFS) for frailty, the Geriatric Depression Scale (GDS-15) for depressive symptoms, and the Mini Nutritional Assessment (MNA) for nutritional status. Statistical analyses included descriptive statistics, chi-square tests, Mann-Whitney U tests, Spearman correlations, and binary logistic regression.Results:Among participants, 46.1% were at risk of violence. Absence of verbal aggression, adequate social support, emotional independence, and better functionality were protective factors against violence. Advanced frailty (OR = 2.43), depressive symptoms (OR = 2.49), and malnutrition (OR = 1.52) were significantly associated with the risk of abuse. Logistic regression identified mood (R² = 0.19) and depressive symptoms (R² = 0.19) as the main predictors of violence.Conclusion:A significant association was found between the risk of abuse and multidimensional factors, particularly a history of violent situations, frailty, and depressive symptoms.

Objective:To investigate the association between the risk of violence against older adults and factors such as frailty, depressive symptoms, and nutritional status in a population receiving care in Primary Health Care (PHC).Methods:This was an observational, cross-sectional, and quantitative study conducted between June 2023 and March 2024 in the municipalities of Santa Cruz and Macaíba, Rio Grande do Norte, Brazil. The study included 323 older adults (≥ 60 years old) registered in the PHC system. Data collection utilized validated instruments, including the Hurt, Insult, Threaten, Scream - Elder Abuse Screening Test (H-S/EAST) to assess violence risk, the Conflict Tactics Scales Form R (CTS-1) for classifying violence situations, the Edmonton Frailty Scale (EFS) for frailty, the Geriatric Depression Scale (GDS-15) for depressive symptoms, and the Mini Nutritional Assessment (MNA) for nutritional status. Statistical analyses included descriptive statistics, chi-square tests, Mann-Whitney U tests, Spearman correlations, and binary logistic regression.Results:Among participants, 46.1% were at risk of violence. Absence of verbal aggression, adequate social support, emotional independence, and better functionality were protective factors against violence. Advanced frailty (OR = 2.43), depressive symptoms (OR = 2.49), and malnutrition (OR = 1.52) were significantly associated with the risk of abuse. Logistic regression identified mood (R² = 0.19) and depressive symptoms (R² = 0.19) as the main predictors of violence.Conclusion:A significant association was found between the risk of abuse and multidimensional factors, particularly a history of violent situations, frailty, and depressive symptoms.

Objective:To investigate the association between the risk of violence against older adults and factors such as frailty, depressive symptoms, and nutritional status in a population receiving care in Primary Health Care (PHC).Methods:This was an observational, cross-sectional, and quantitative study conducted between June 2023 and March 2024 in the municipalities of Santa Cruz and Macaíba, Rio Grande do Norte, Brazil. The study included 323 older adults (≥ 60 years old) registered in the PHC system. Data collection utilized validated instruments, including the Hurt, Insult, Threaten, Scream - Elder Abuse Screening Test (H-S/EAST) to assess violence risk, the Conflict Tactics Scales Form R (CTS-1) for classifying violence situations, the Edmonton Frailty Scale (EFS) for frailty, the Geriatric Depression Scale (GDS-15) for depressive symptoms, and the Mini Nutritional Assessment (MNA) for nutritional status. Statistical analyses included descriptive statistics, chi-square tests, Mann-Whitney U tests, Spearman correlations, and binary logistic regression.Results:Among participants, 46.1% were at risk of violence. Absence of verbal aggression, adequate social support, emotional independence, and better functionality were protective factors against violence. Advanced frailty (OR = 2.43), depressive symptoms (OR = 2.49), and malnutrition (OR = 1.52) were significantly associated with the risk of abuse. Logistic regression identified mood (R² = 0.19) and depressive symptoms (R² = 0.19) as the main predictors of violence.Conclusion:A significant association was found between the risk of abuse and multidimensional factors, particularly a history of violent situations, frailty, and depressive symptoms.

Introduction/ObjectiveFalls among older adults are a global health concern, affecting approximately 30% of the elderly and leading to physical and psychological harm. In Brazil, falls affect 13.6% of older adults, with a severe impact on 7.5% of cases, emphasizing the need for preventive actions, especially within Primary Health Care (PHC). Although mobility issues, medication use, and environmental factors are established fall risks, the roles of nutrition, cognitive and functional status, frailty, and quality of life (QoL) are less examined. This study aimed to assess the influence of these multifactorial health aspects on fall risk among older adults enrolled in a Brazilian PHC program.MethodThis cross-sectional study involved 257 older adults (≥60 years) registered in PHC in Santa Cruz, Rio Grande do Norte, from June 2023 to March 2024. Data were collected through structured interviews, using validated instruments to measure fall risk, nutritional and cognitive status, frailty, functionality, and QoL. Data analysis included Chi-square and Mann-Whitney tests for categorical and scalar data, respectively, with Odds Ratios (OR) calculated to identify risk factors. A significance level of 5% (p<0.05) was applied.ResultsAmong participants, 39.7% were at risk of falling, with risk factors including nutritional deficits, frailty, and impaired cognition. Notably, preserved cognitive function (OR=5.27), the absence of frailty (OR=4.49), and good nutritional status were associated with lower fall risk. Functional independence and higher QoL in physical and functional domains also correlated with reduced fall risk.ConclusionAdequate nutrition, cognitive preservation, low frailty, and functional independence are protective factors against falls in older adults. Interventions targeting these areas could reduce fall risk, underscoring the value of a multidimensional approach in PHC. These findings support preventive strategies focusing on nutrition, cognitive monitoring, and functional training to enhance elderly well-being and safety in community settings.

Introduction/ObjectiveFalls among older adults are a global health concern, affecting approximately 30% of the elderly and leading to physical and psychological harm. In Brazil, falls affect 13.6% of older adults, with a severe impact on 7.5% of cases, emphasizing the need for preventive actions, especially within Primary Health Care (PHC). Although mobility issues, medication use, and environmental factors are established fall risks, the roles of nutrition, cognitive and functional status, frailty, and quality of life (QoL) are less examined. This study aimed to assess the influence of these multifactorial health aspects on fall risk among older adults enrolled in a Brazilian PHC program.MethodThis cross-sectional study involved 257 older adults (≥60 years) registered in PHC in Santa Cruz, Rio Grande do Norte, from June 2023 to March 2024. Data were collected through structured interviews, using validated instruments to measure fall risk, nutritional and cognitive status, frailty, functionality, and QoL. Data analysis included Chi-square and Mann-Whitney tests for categorical and scalar data, respectively, with Odds Ratios (OR) calculated to identify risk factors. A significance level of 5% (p<0.05) was applied.ResultsAmong participants, 39.7% were at risk of falling, with risk factors including nutritional deficits, frailty, and impaired cognition. Notably, preserved cognitive function (OR=5.27), the absence of frailty (OR=4.49), and good nutritional status were associated with lower fall risk. Functional independence and higher QoL in physical and functional domains also correlated with reduced fall risk.ConclusionAdequate nutrition, cognitive preservation, low frailty, and functional independence are protective factors against falls in older adults. Interventions targeting these areas could reduce fall risk, underscoring the value of a multidimensional approach in PHC. These findings support preventive strategies focusing on nutrition, cognitive monitoring, and functional training to enhance elderly well-being and safety in community settings.

Introduction/ObjectiveFalls among older adults are a global health concern, affecting approximately 30% of the elderly and leading to physical and psychological harm. In Brazil, falls affect 13.6% of older adults, with a severe impact on 7.5% of cases, emphasizing the need for preventive actions, especially within Primary Health Care (PHC). Although mobility issues, medication use, and environmental factors are established fall risks, the roles of nutrition, cognitive and functional status, frailty, and quality of life (QoL) are less examined. This study aimed to assess the influence of these multifactorial health aspects on fall risk among older adults enrolled in a Brazilian PHC program.MethodThis cross-sectional study involved 257 older adults (≥60 years) registered in PHC in Santa Cruz, Rio Grande do Norte, from June 2023 to March 2024. Data were collected through structured interviews, using validated instruments to measure fall risk, nutritional and cognitive status, frailty, functionality, and QoL. Data analysis included Chi-square and Mann-Whitney tests for categorical and scalar data, respectively, with Odds Ratios (OR) calculated to identify risk factors. A significance level of 5% (p<0.05) was applied.ResultsAmong participants, 39.7% were at risk of falling, with risk factors including nutritional deficits, frailty, and impaired cognition. Notably, preserved cognitive function (OR=5.27), the absence of frailty (OR=4.49), and good nutritional status were associated with lower fall risk. Functional independence and higher QoL in physical and functional domains also correlated with reduced fall risk.ConclusionAdequate nutrition, cognitive preservation, low frailty, and functional independence are protective factors against falls in older adults. Interventions targeting these areas could reduce fall risk, underscoring the value of a multidimensional approach in PHC. These findings support preventive strategies focusing on nutrition, cognitive monitoring, and functional training to enhance elderly well-being and safety in community settings.

Introduction/ObjectiveFalls among older adults are a global health concern, affecting approximately 30% of the elderly and leading to physical and psychological harm. In Brazil, falls affect 13.6% of older adults, with a severe impact on 7.5% of cases, emphasizing the need for preventive actions, especially within Primary Health Care (PHC). Although mobility issues, medication use, and environmental factors are established fall risks, the roles of nutrition, cognitive and functional status, frailty, and quality of life (QoL) are less examined. This study aimed to assess the influence of these multifactorial health aspects on fall risk among older adults enrolled in a Brazilian PHC program.MethodThis cross-sectional study involved 257 older adults (≥60 years) registered in PHC in Santa Cruz, Rio Grande do Norte, from June 2023 to March 2024. Data were collected through structured interviews, using validated instruments to measure fall risk, nutritional and cognitive status, frailty, functionality, and QoL. Data analysis included Chi-square and Mann-Whitney tests for categorical and scalar data, respectively, with Odds Ratios (OR) calculated to identify risk factors. A significance level of 5% (p<0.05) was applied.ResultsAmong participants, 39.7% were at risk of falling, with risk factors including nutritional deficits, frailty, and impaired cognition. Notably, preserved cognitive function (OR=5.27), the absence of frailty (OR=4.49), and good nutritional status were associated with lower fall risk. Functional independence and higher QoL in physical and functional domains also correlated with reduced fall risk.ConclusionAdequate nutrition, cognitive preservation, low frailty, and functional independence are protective factors against falls in older adults. Interventions targeting these areas could reduce fall risk, underscoring the value of a multidimensional approach in PHC. These findings support preventive strategies focusing on nutrition, cognitive monitoring, and functional training to enhance elderly well-being and safety in community settings.