Associations of diabesity with all-cause and cardiovascular disease mortality: Findings from the Mexico City Prospective Study.

AIM: To investigate the joint associations of diabetes and obesity with all-cause and cardiovascular disease (CVD) mortality in the Mexico City Prospective Study. MATERIALS AND METHODS: In total, 154 128 participants (67.2% women) were included in this prospective analysis. Diabetes was self-reported, while body mass index was used to calculate obesity. Using diabetes and obesity classifications, six groups were created: (a) normal (no diabetes and normal weight); (b) normal weight and diabetes; (c) overweight but not diabetes (overweight); (d) overweight and diabetes (prediabesity); (e) obesity but not diabetes (obesity); and (f) obesity and diabetes (diabesity). Associations between these categories and outcomes were investigated using Cox proportional hazard models adjusted for confounder factors. RESULTS: During 18.3 years of follow-up, 27 197 (17.6%) participants died (28.5% because of CV causes). In the maximally adjusted model, participants those with the highest risk {hazard ratio (HR): 2.37 [95% confidence interval (CI): 2.24-2.51]}, followed by those with diabesity [HR: 2.04 (95% CI: 1.94-2.15)]. Similar trends of associations were observed for CVD mortality. The highest CV mortality risk was observed in individuals with diabesity [HR: 1.80 (95% CI: 1.63-1.99)], followed by normal weight and diabetic individuals [HR: 1.78 (95% CI: 1.60-1.98)]. CONCLUSION: This large prospective study identified that diabetes was the main driver of all-cause and CVD mortality in all the categories studied, with diabesity being the riskiest. Given the high prevalence of both conditions in Mexico, our results reinforce the importance of initiating prevention strategies from an early age.

Predictive ability of both the healthy aging index and the frailty index for all-cause mortality.

AIM: We aimed to develop and assess a modified healthy aging index (HAI) among Chileans aged 60 years and older and compare its predictive ability for all-cause mortality risk with the frailty index (FI). METHODS: This prospective study analyzed data from the Chilean National Health Survey (CNHS) conducted in 2009-2010. We included 847 adults with complete data to construct the HAI and FI. The HAI comprised five indicators (lung function, systolic blood pressure, fasting glucose, cognitive status, and glomerular filtration rate), while the FI assessed frailty using a 36-item scale. HAI scores were calculated by summing the indicator scores, ranging from 0 to 10, with higher scores indicating poorer health. Receiver operating curves (ROC) and area under the curve (AUC) were used to assess predictive validity. Associations with all-cause mortality were assessed using Cox proportional hazard models adjusted by confounders. RESULTS: The mean HAI score was 4.06, while the FI score was 0.24. The AUC for mortality was higher for the HAI than the FI (0.640, 95% confidence interval (CI) 0.601 to 0.679 vs. 0.586, 95% CI 0.545 to 0.627). After adjusting for confounders, the FI showed a higher mortality risk compared to the HAI (2.63, 95% CI 1.76 to 3.51 vs. 1.16, 95% CI 1.08 to 1.26). CONCLUSION: The FI and HAI were valid predictors for all-cause mortality in the Chilean population. Integrating these indices into research and clinical practice can significantly enhance our capacity to identify at-risk individuals.

Association between a lifestyle score and all-cause mortality: a prospective analysis of the Chilean National Health Survey 2009-2010.

OBJECTIVE: To investigate the association between a lifestyle score and all-cause mortality in the Chilean population. DESIGN: Prospective study. SETTINGS: The score was based on seven modifiable behaviours: salt intake, fruit and vegetable intake, alcohol consumption, sleep duration, smoking, physical activity and sedentary behaviours. 1-point was assigned for each healthy recommendation. Points were summed to create an unweighted score from 0 (less healthy) to 7 (healthiest). According to their score, participants were then classified into: less healthy (0-2 points), moderately healthy (3-4 points) and the healthiest (5-7 points). Associations between the categories of lifestyle score and all-cause mortality were investigated using Cox proportional hazard models adjusted for confounders. Nonlinear associations were also investigated. PARTICIPANTS: 2706 participants from the Chilean National Health Survey 2009-2010. RESULTS: After a median follow-up of 10·9 years, 286 (10·6 %) participants died. In the maximally adjusted model, and compared with the healthiest participants, those less healthy had 2·55 (95 % CI 1·75, 3·71) times higher mortality risk due to any cause. Similar trends were identified for the moderately healthy group. Moreover, there was a significant trend towards increasing the mortality risk when increasing unhealthy behaviours (hazard ratio model 3: 1·61 (95 % CI 1·34, 1·94)). There was no evidence of nonlinearity between the lifestyle score and all-cause mortality. CONCLUSION: Individuals in the less healthy lifestyle category had higher mortality risk than the healthiest group. Therefore, public health strategies should be implemented to promote adherence to a healthy lifestyle across the Chilean population.

Association of Sitting Time With All-Cause and Cardiovascular Mortality: How Does Frailty Modify This Association?

To investigate how frailty modifies the association of sitting time with all-cause and cardiovascular mortality in Chilean adults. This prospective study included 2,604 participants aged ≥35 from the Chilean National Health Survey 2009-2010. Sitting time was self-reported, while frailty was assessed using a 36-item Frailty Index. Sitting time was categorized as low, medium, and high. Cox proportional hazard models were used to estimate the risk of mortality stratified for the sitting time categories. Over a median follow-up of 8.9 years, 311 participants died, 28% of them due to cardiovascular events. Frail people with prolonged sitting time were at higher risk of all-cause and cardiovascular mortality (hazard ratio 3.13; 95% confidence interval [2.06, 4.71] and hazard ratio 2.41; 95% confidence interval [1.50, 3.64], respectively). The observed risk was higher in women than men. Public health and individual strategies should be implemented to decrease sitting time across the population, with special attention on frail people.

Latent class analyses of multimorbidity and all-cause mortality: A prospective study in Chilean adults.

Multimorbidity patterns can lead to differential risks for all-cause mortality. Within the Chilean context, research on morbidity and mortality predominantly emphasizes individual diseases or combinations thereof, rather than specific disease clusters. This study aimed to identify multimorbidity patterns, along with their associations with mortality, within a representative sample of the Chilean population. 3,701 participants aged ≥18 from the Chilean National Health Survey 2009-2010 were included in this prospective study. Multimorbidity patterns were identified from 16 chronic conditions and then classified using latent class analyses. All-cause mortality data were extracted from the Chilean Civil Registry. The association of classes with all-cause mortality was carried out using Cox proportional regression models, adjusting by sociodemographic and lifestyle variables. Three classes were identified: a) Class 1, the healthiest (72.1%); b) Class 2, the depression/cardiovascular disease/cancer class (17.5%); and c) Class 3, hypertension/chronic kidney disease class (10.4%). Classes 2 and 3 showed higher mortality risk than the healthiest class. After adjusting, Class 2 showed 45% higher mortality risk, and Class 3 98% higher mortality risk, compared with the healthiest class. Hypertension appeared to be a critical underlying factor of all-cause morbidity. Particular combinations of chronic diseases have a higher excess risk of mortality than others.

Multimorbidity and 11-year mortality in adults: a prospective analysis using the Chilean National Health Survey.

Research on morbidity and mortality often emphasizes individual diseases over the cumulative effects of multimorbidity, especially in low- and middle-income countries. This study aimed to analyze the association between multimorbidity and all-cause mortality in a representative sample of the Chilean population. This longitudinal study used data from 3701 subjects aged ≥15 years who participated in the Chilean National Health Survey conducted between 2009 and 2010. We included 16 self-reported highly prevalent morbidities. All-cause mortality data from an 11-year follow-up were collected from the Chilean Civil Registry. The Cox proportional hazard model, adjusted for confounders, determined the association between multimorbidity categories and all-cause mortality. Of the total sample, 24.3% reported no morbidity, while 50.4% two or more. After adjustment, participants with four or more morbidities had a 1.66 times higher mortality risk [95% confidence interval (CI): 1.03-2.67] than those without morbidities. The mortality risk increased by 10% for each additional morbidity [HR: 1.09 (CI: 1.04-1.16)]. Multimorbidity was common in the Chilean population and increased the mortality risk, which greatly challenges the health system to provide an integral and coordinated approach to healthcare.

[Association between oral health and cognitive decline in older Chileans]. / Asociación entre salud oral y deterioro cognitivo en personas mayores chilenas.

OBJECTIVE: To identify the association between oral health and suspected cognitive impairment in older adults in Chile. METHOD: Cross-sectional study including 1826 people ≥60 years who participated in the National Health Survey of Chile, 2016-2017. Oral health was evaluated by the number of teeth, presence of caries, use of dental prostheses, self-reported oral health, and pain and/or discomfort in the oral cavity. Cognitive impairment was assessed using the Mini-Mental State Examination (MMSE). The association was evaluated by logistic and linear regression, adjusted for sociodemographic and lifestyle variables. RESULTS: Compared with people without suspicion of cognitive impairment, people with suspected impairment had five fewer teeth (13.4 vs. 8.5 teeth), a much higher difference in women than in men, and a higher frequency of oral pain. Edentulism and fewer teeth were associated with a higher likelihood of suspected cognitive impairment, associations that were not maintained in adjusted models. Oral pain was associated with a higher likelihood of suspected impairment even in the most adjusted model (odds ratio: 1.99; 95% confidence interval [95%CI]: 1.09-3.63). In linear models, an increase of 2% (95%CI: 0.01-0.05) in the MMSE score was observed for each additional tooth. CONCLUSIONS: Poor oral health, particularly tooth loss and the presence of pain, was associated with cognitive impairment in older adults in Chile.

Frailty Index as a Predictor of Mortality in Middle-Aged and Older People: A Prospective Analysis of Chilean Adults.

We aimed to investigate the association between frailty status and all-cause mortality in middle-aged and older people. We included 2661 individuals aged ≥ 35 from the Chilean National Health Survey 2009−2010. Mortality was determined through linkage with the Chilean Civil Registry and Identification. A 36-item frailty index (FI) was used to assess the frailty status. Associations between frailty status and all-cause mortality were assessed using Kaplan−Meier and Cox proportional hazard models adjusted for sociodemographic and lifestyle factors. A non-linear association was investigated using penalized cubic splines fitted in the Cox models. During an 8.9 median follow-up (interquartile range of 8.6−9.0), 308 individuals died (11.5%). Lower survival rates were observed in frail individuals compared to pre-frail and robust people (log-rank < 0.001). Compared with robust individuals, frail people had a higher mortality risk (HR: 2.35 [95% CI: 1.57 to 3.51]). Frail middle-aged individuals had a higher risk of dying independently of major risk factors.

Association of Co-Living and Age on the Type of Sports Practiced by Older People.

Introdution: The environment and the type of co-living of older people are crucial to understanding how the nature of their context influences a healthy lifestyle. However, no studies have investigated to what extent their type of co-living may be associated with the sports and the profile practice according to their age. Objective: This study aimed to assess the association between the types of co-living and the age of the physically active elderly and the sports they practice. Hypothesis: It is thought that the age, situation, and satisfaction with the way of living in physically active older people differ according to the type of sport they practice. Methods: Cross-sectional study. We included 358 individuals aged between 61 and 93 years old (M = 69.66, SD = 4.74). Type of co-living was classified as living alone or living with others. The sports activities evaluated were: gym, dance, water activities, and yoga/pilates. Differences in the type of co-living and sports practiced were evaluated by ANOVA or Chi2. Results: Among the elderly who practice gymnastics, most of them live alone and in a tight core (p < 0.001) (Phi = 0.244). Furthermore, those who practice aquatic activities are more frequently the youngest (p < 0.001) (Phi = 0.198). Conclusion: Older people who do gymnastics have smaller living groups, those under 69 opt for gymnastics and aquatic activities, while those aged 70 and over prefer dance, yoga, and pilates.

Incidencia y letalidad intrahospitalaria por insuficiencia cardiaca en Chile: ¿Existen diferencias por sexo? / Incidence and hospital mortality due to heart failure. Are there any differences by sex?

Background: Gender may influence the incidence, severity and hospital mortality due to heart failure (HF). Aim: To evaluate the influence of sex on the proportion of patients hospitalized due to heart failure, its incidence and hospital mortality. Methods: Analysis of the hospital discharge database of the Chilean Ministry of Health during 2014. All hospital admissions for HF were considered according to ICD-10 codes, including the discharge diagnosis of congestive HF (I500), left ventricular HF (I501) and non-specified HF (I509). Incidence rates, proportion of discharges due to HF and hospital mortality were calculated according to age and sex. Results: During 2014, there were 1,306,431 discharges from Chilean hospitals. Of these, 125,484 were for cardiovascular disease and 10% of these corresponded to HF (12,825). The incidence rate was slightly higher in men than in women (0.71 and 0.70 per 1,000 admissions respectively). Among patients aged 80 years or more, the prevalence of admissions for HF was higher in women (19.1 and 15.9% respectively, p < 0.01). Hospital mortality was also higher in women (9.7 and 8.6% respectively, p = 0.03). The factors associated with a higher hospital mortality were an age over 80 years (Odds Ratio (OR) 2.11; 95% confidence intervals (CI): 1.87-2.40; p < 0.01), a length of stay over seven days (OR 1.13; 95%CI: 1.01-1.29; p = 0.04), being admitted to high complexity facilities (OR 1.29; 95%CI: 1.12-1.50; p = 0.01) and being insured by the public national health fund (OR 1.94; 95%CI: 1.54-2.43; p < 0.01). Conclusions: The incidence of hospital admissions due to HF is similar in men and women. There is high hospital mortality, especially in women.

Galectina-3: experiencia en pacientes chilenos con diagnóstico de insuficiencia cardíaca descompensada / Galectin-3 levels in patients hospitalized for decompensated heart failure

Background: Galectin-3 (Gal-3) is a mediator of myocardial fibrosis involved in cardiac remodeling and a potential new prognosis marker in heart failure (HF). Aim: To measure Gal-3 at the moment of discharge in patients hospitalized for HF and its association with different variables. Material and Methods: Patients hospitalized for decompensated HF from four hospitals between August 2014 and March 2015, were included. Demographic, clinical and laboratory variables were recorded at the time of admission. At discharge, a blood sample was withdrawn to measure Gal-3 and brain natriuretic propeptide (Pro-BNP). Patients were separated in two groups, according to the level of Gal-3 (using a cutoff value of 17.8 ng/mL), comparing clinical and laboratory values between groups. Results: We included 52 patients with HF aged 70 ± 17 years (42% females). Functional capacity was III-IV in 46% of patients and the ejection fraction was 34.9 ± 13.4%. Pro-BNP values at discharge were 5,323 ± 8,665 pg/mL. Gal-3 values were 23.8 ± 16.6 ng/mL. Sixty percent of patients had values over 17.8 ng/mL. Those with elevated Gal-3 levels were older (75 ±16 and 62 ± 15 years, respectively, p = 0.025) and were hypertensive in a higher proportion (90.5% and 57.1% respectively, p = 0.021). Conclusions: In patients hospitalized for HF, Gal-3 levels are higher in older and hypertensive subjects.

[Frailty in patients admitted to hospital with acute decompensated heart failure]. / Factores asociados a fragilidad en pacientes hospitalizados con insuficiencia cardiaca descompensada.

BACKGROUND: Frailty is a geriatric syndrome characterized by a progressive impairment in the subjects’ ability to respond to environmental stress. Frailty is more commonly found in heart failure (HF) patients than in general population and it is an independent predictor of rehospitalization, emergency room visits and death. AIM: To estimate the prevalence of frailty in patients with decompensated HF admitted to four hospitals in Santiago, Chile. MATERIAL AND METHODS: Cross-sectional study. Subjects aged 60 or older consecutively admitted for decompensated HF to the study centers between August 2014 and March 2015 were included. Frailty was defined as the presence of three or more of the following criteria: unintended weight loss, muscular weakness, depression symptoms (exhaustion), reduced gait speed and low physical activity. Independent variables were tested for association using simple logistic regression. Variables associated with frailty (p < 0.05) were included in a multiple logistic regression model. RESULTS: Seventy-nine subjects were included. The prevalence of frailty was 50.6%. Frail patients were mostly female (52.6%) and older than non-frail subjects (73.7± 7.9 vs 68.2 ± 7.1; p < 0.003). Independent predictors of frailty were age (Odds raio (OR) 1.10; 95% confidence intervals (CI): 1.03-1.17), quality of life measured with the Minnesota Living with Heart Failure Questionnaire (OR 1.07; IC95%: 1.03-1.11), previous hospitalizations (OR 2.56; 95%CI: 1.02-6.43) and number of medications (OR 4.46; 95%CI: 1.11-17.32). CONCLUSIONS: The prevalence of frailty in patients admitted to the hospital for decompensated heart failure is high. Age, quality of life, hospitalizations and polypharmacy were factors associated with frailty in this group of participants.

Factores asociados a fragilidad en pacientes hospitalizados con insuficiencia cardiaca descompensada / Frailty in patients admitted to hospital with acute decompensated heart failure

Background: Frailty is a geriatric syndrome characterized by a progressive impairment in the subjects’ ability to respond to environmental stress. Frailty is more commonly found in heart failure (HF) patients than in general population and it is an independent predictor of rehospitalization, emergency room visits and death. Aim: To estimate the prevalence of frailty in patients with decompensated HF admitted to four hospitals in Santiago, Chile. Material and Methods: Cross-sectional study. Subjects aged 60 or older consecutively admitted for decompensated HF to the study centers between August 2014 and March 2015 were included. Frailty was defined as the presence of three or more of the following criteria: unintended weight loss, muscular weakness, depression symptoms (exhaustion), reduced gait speed and low physical activity. Independent variables were tested for association using simple logistic regression. Variables associated with frailty (p < 0.05) were included in a multiple logistic regression model. Results: Seventy-nine subjects were included. The prevalence of frailty was 50.6%. Frail patients were mostly female (52.6%) and older than non-frail subjects (73.7± 7.9 vs 68.2 ± 7.1; p < 0.003). Independent predictors of frailty were age (Odds raio (OR) 1.10; 95% confidence intervals (CI): 1.03-1.17), quality of life measured with the Minnesota Living with Heart Failure Questionnaire (OR 1.07; IC95%: 1.03-1.11), previous hospitalizations (OR 2.56; 95%CI: 1.02-6.43) and number of medications (OR 4.46; 95%CI: 1.11-17.32). Conclusions: The prevalence of frailty in patients admitted to the hospital for decompensated heart failure is high. Age, quality of life, hospitalizations and polypharmacy were factors associated with frailty in this group of participants.

Socioeconomic Inequalities in Heart Failure.

Prevalence and incidence of chronic heart failure (CHF) has increased during the past decades. Beyond its impact on mortality rates, CHF severely impairs quality of life, particularly with the elderly and vulnerable population. Several studies have shown that CHF takes its toll mostly on the uneducated, low-income population, who exhibit impaired access to health care systems, less knowledge regarding its pathology and poorer self-care behaviors. This review summarizes the available evidence linking socioeconomic inequalities and CHF, focusing on the modifiable factors that may explain the impaired health outcomes in socioeconomically deprived populations.