ABSTRACT
OBJECTIVE: This study examines the heterogeneity of depressive symptoms among older adults residing on the Island of Puerto Rico and their association with risk and protective health factors. METHODS: Data from the Puerto Rican Elderly: Health Conditions study (PREHCO) to identify risk and protective factors associated with profiles of depressive symptoms. The sample was comprised of 3,114 Puerto Rican older adults ages 60 to 102 (71 ± 8.2 SD). The Geriatric Depression Scale 15-item short form (GDS-15) was used to assess the presence of depressive symptoms. Latent class analysis (LCA) was used to categorize depressive symptom classes. The association between depressive symptom classes and health status, lifestyle, health behavior and demographic characteristics were evaluated. RESULTS: A three-class model was identified, they were defined as "low depressive symptoms" (56%), "medium depressive symptoms" (31%), and "high depressive symptoms" (13%). Having chronic illnesses, mainly diabetes, heart disease and high blood pressure as well as a history of smoking, and poor self-rated vision were all associated with being in a higher depressive class. Exercising regularly and participating in volunteer activities were protective to being in a high depressive class. CONCLUSION: Chronic illnesses and poor self-rated vision were associated with being in a higher depressive classification. These findings can inform targeted interventions for sub-groups of community dwelling older adults impacted by depression.
Subject(s)
Diabetes Mellitus , Hispanic or Latino , Humans , Aged , Puerto Rico/epidemiology , Health Status , Chronic Disease , Depression/epidemiologyABSTRACT
Background:Soft drinks are drinks high in sugar and acidity, but low in nutritional benefits. Despite its great popularity, its consumption is alerted due to the numerous systemic harm caused. Aim:This work aims to provide information and critically review the literature on the risk of soft drink consumption in an integrative view with nutritional, dental, and medical aspects. Methods:A search was carried out based on the identification of the theme, determination of inclusion and exclusion criteria, selection of databases for research and, finally, the reading, interpretation, and discussion of the selected sources. A search was conducted using the keywords: "soft drinks" AND "obesity" OR "dental erosion" OR "diabetes" OR "hypertension" OR "mental health" OR "multimorbidities" in databases PubMed, SciELO, and LILACS between 2017 and 2022. Results:Seventy-six studies were included in the article after the qualitative synthesis. Conclusion:We conclude that the high consumption of soft drinks is associated with oral and general diseases. Therefore, a multi-professional approach to guide patients to moderate the consumption of these beverages is extremely important.
Subject(s)
Beverages , Carbonated Beverages , Humans , Carbonated Beverages/adverse effects , Obesity/epidemiologyABSTRACT
OBJECTIVES: The association of pain and depression has not been evaluated in low- and middle-income countries, which have a disproportionate burden of pain compared to high-income countries. METHODS: Using data from the Mexican Health and Aging Study (baseline, 2012; follow-up, 2015), we examined the bidirectional relationship between pain and depressive symptoms and identified shared predictors among community-dwelling participants ≥60 years (n = 7237). Multivariable logistic regressions models evaluated the association between (1) baseline pain and incident elevated depressive symptoms and (2) baseline depressive symptoms and incident pain, adjusting for demographic, socioeconomic, and health-related factors. Models included inverse probability weights and evaluated interactions by gender. RESULTS: Participants (55.0% women) were on average 69.1 years old. Over half reported no pain (60.7%) and low/no depressive symptoms (67.9%) in 2012, of which, 20.2% reported elevated depressive symptoms and 25.3% self-reported pain in 2015. Baseline pain was associated with higher odds of incident elevated depressive symptoms (aOR 1.65; 95% CI, 1.41-1.93). Baseline elevated depressive symptoms were associated with higher odds of developing pain (aOR 1.57; 95% CI, 1.32-1.87). Age, gender, self-rated health, and activity of daily living limitations were shared risk factors for pain and elevated depressive symptomatology onset. Although the incidence of elevated depressive symptoms and pain was higher in women, there were no statistically significant interactions. CONCLUSIONS: Older adults with pain or depression may be at risk for developing the other. These shared predictors could help identify patients in clinical settings, where pain and depression are often overlooked, reducing the cascading risk of this comorbidity.
Subject(s)
Aging , Depression , Aged , Depression/diagnosis , Depression/epidemiology , Female , Humans , Independent Living , Longitudinal Studies , Male , Pain/epidemiology , Risk FactorsABSTRACT
BACKGROUND: Much of the knowledge on the use of potentially inappropriate medications (PIM) in older adults is derived from cross-sectional studies, with little known about the risk factors over time. AIM: Longitudinal analysis was applied to estimate the occurrence and risk factors of PIM use among older adults in a 10-year follow-up. METHOD: Longitudinal study with 418 older adult residents of a capital city of Central-West Brazil. The PIM were classified according to the Beers criteria 2019. The usage rate was calculated at baseline (2008) and at the 10-year follow-up moment (2018). Analysis of predictors (sociodemographic, self-rated health, hospitalization, number of comorbidities, polypharmacy, diabetes, hypertension, hypercholesterolemia and nutritional status) was performed using Generalized Estimating Equation (GEE) models. RESULTS: Mean age at baseline was 70.6 years (SD 7.1) and 76% were women; 221 older adults took part in the follow up. The rate of PIM use was 50.4% at baseline and 57.5% at the 10-year follow-up. Multiple analysis showed that PIM use in the cohort was statistically higher in the older adults with a history of hospitalization (RRadj 1.20; 95% CI 1.01-1.40), with three or more diseases (RRadj 1.41; 95% CI 1.14-1.74), with polypharmacy (RRadj 1.81; 95% CI 1.47-2.24) and with diabetes mellitus (RRadj 1.24; 95% CI 1.05-1.47). CONCLUSION: A high level of potentially inappropriate medication use was observed, reaching 50% of the older adults, with a 7% increase in the prevalence over the 10-year follow-up period. Hospitalization, multimorbidities, polypharmacy and diabetes mellitus were associated with the use of these medications. Interventions for surveillance of the deprescribing process need to be encouraged to avoid potential harm caused by the use of medications.
Subject(s)
Inappropriate Prescribing , Potentially Inappropriate Medication List , Female , Humans , Aged , Male , Cohort Studies , Cross-Sectional Studies , Longitudinal Studies , Polypharmacy , Risk FactorsABSTRACT
OBJECTIVES: The aim of the present study was to (1) evaluate a geriatric outpatient sample with the FRAIL scale; (2) investigate the psychometric properties of the scale; and (3) characterize different associations of the subdimensions of the scale with demographic and clinical data. DESIGN: Cross-sectional observational study. SETTING: Geriatric outpatient center a university-based hospital in São Paulo, Brazil. PARTICIPANTS: A total of 811 men and women aged 60 years or older evaluated between March 2015 and September 2015. MEASUREMENTS: A translated version of the FRAIL scale was used to evaluate frailty. A review of sociodemographic data, medical records, medication, and laboratory data was conducted. A multivariate ordinal logistic regression model was used to investigate the association between frailty categories and clinical variables. Exploratory factor analysis and 2-parameter logistic item response theory was used to evaluate the psychometric properties of the FRAIL scale. RESULTS: The sample was distributed as 13.6% robust, 48.7% prefrail, and 37.7% frail older adults. Most participants reported fatigue (72.3%). Frailty was associated with older age (P = .02), depression (P = .02), dementia (P < .001), and number of medications taken (P < .001). A 2-factor model of the FRAIL scale ("ambulation" and "resistance" namely physical performance; "fatigue," "weight loss," and "illnesses" namely health status) provided independent classifications of frailty status. Physical performance (ambulation and resistance) was strongly associated with higher age and dementia, whereas health status (fatigue, weight loss, and illnesses) was more associated with female sex and depression. CONCLUSIONS: Our results suggest the existence of 2 subdimensions of the scale, suggesting different pathways to frailty. Frailty was associated with older age, depression, dementia, and number of medications in this outpatient sample.