Osteosarcopenia later in life: Prevalence and associated risk factors.

BACKGROUND AND AIMS: The identification of risk factors for osteosarcopenia in older adults is important for planning preventative strategies in clinical practice. Therefore, our study aimed to investigate the prevalence and risk factors associated with osteosarcopenia in older adults using different diagnostic criteria. METHODS: The sample included 171 community-dwelling older adults with a mean age of 79.4 ± 5.9 years and mean body mass index of 25.67 ± 4.70 kg/m2. We analyzed sociodemographic, biomarkers, lifestyle, and health condition data from participants of the "Projeto Idosos - Goiânia" cohort study. The outcome osteosarcopenia was defined as the simultaneous occurrence of sarcopenia and osteopenia. Osteopenia was diagnosed by low lumbar spine bone mineral density (BMD) using dual-energy X-ray absorptiometry (DEXA). Sarcopenia was diagnosed using handgrip dynamometry and appendicular skeletal mass index assessed by DEXA following the criteria of the two European consensuses on sarcopenia (2010 and 2018). Two osteosarcopenia outcome variables were evaluated: OsteoSarc1 and OsteoSarc2 using the 2010 and 2018 European sarcopenia consensus criteria, respectively. Multivariate Poisson regression analysis was used to calculate the prevalence ratios (PRs). RESULTS: The prevalence of OsteoSarc1 and OsteoSarc2 were 12.8% and 7.2%, respectively, with no significant gender differences. OsteoSarc1 was associated with low potassium (PR: 3.39, 95% confidence interval [CI]: 1.10-10.43) and malnutrition (PR: 3.84, 95% CI: 1.78-8.30). OsteoSarc2 was associated with being ≥80 years (PR: 7.64, 95% CI: 1.57-37.07), >4 years of education (PR: 3.25, 95% CI: 1.03-10.22), alcohol consumption (PR: 2.41, 95% CI: 1.01-5.77), low potassium (PR: 2.22, 95% CI: 1.45-6.87), low serum vitamin D (PR: 4.47, 95% CI: 1.68-11.88), and malnutrition (PR: 5.00, 95% CI: 1.06-23.51). CONCLUSIONS: OsteoSarc1 had a higher prevalence. The risk factors associated with the two outcomes were malnutrition and potassium level, as well as other risk factors, such as alcohol consumption and low vitamin D level. These findings may contribute to the prevention or treatment of this health condition in older adults.

Magnitude of risk factors for chronic noncommunicable diseases in adolescents and young adults in Brazil: A population-based study.

AIM OF THE STUDY: Estimate the magnitude and factors associated with risk factors for chronic noncommunicable diseases in adolescents and young adults in Brazil. METHODS: Cross-sectional study that analyzed data from the 2019 National Health Survey. The population of interest was adolescents and young adults aged 15 to 24 years. Data were collected through individual interviews during home visits. Dependent variables included major risk factors for chronic noncommunicable diseases. Demographic and socioeconomic characteristics were used as independent variables. Multiple Poisson regression models were used to assess the relationship between independent variables and risk factors. RESULTS: A total of 10,460 individuals (5,001 men and 5,459 women) were included. Regardless of sex, the most prevalent risk factors were insufficient fruit and vegetable consumption (92.6%) and leisure-time physical inactivity (43.3%). The prevalence rates of tobacco smokers, alcohol consumption once a month or more, and alcohol abuse were 8.9%, 28.7%, and 18.5%, respectively. Regular consumption of soft drinks and/or artificial juices was described by 17.2%. The prevalence of overweight was 32.5%. Young adults, males, and individuals with lower educational levels, of black race/skin color, with lower household income, and residents of urban areas had a higher prevalence for most risk factors. Differences in the determinants were found for some factors. Inequalities between Brazilian regions were recorded for seven of the nine factors analyzed. The most socioeconomically developed regions had the highest prevalence of most risk factors. The high magnitude of risk factors indicates a potential increase in the burden of chronic noncommunicable diseases in a future scenario for Brazil.

Prevalence and factors associated with multimorbidity in adults in Brazil, according to sex: a population-based cross-sectional survey.

Introduction: Multimorbidity, defined as the coexistence of two or more chronic diseases in the same individual, represents a significant health challenge. However, there is limited evidence on its prevalence and associated factors in developing countries, such as Brazil, especially stratified by sex. Thus, this study aims to estimate the prevalence and analyze the factors associated with multimorbidity in Brazilian adults according to sex. Methods: Cross-sectional population-based household survey carried out with Brazilian adults aged 18 years or older. The sampling strategy consisted of a three-stage conglomerate plan. The three stages were performed through simple random sampling. Data were collected through individual interviews. Multimorbidity was classified based on a list of 14 self-reported chronic diseases/conditions. Poisson regression analysis was performed to estimate the magnitude of the association between sociodemographic and lifestyle factors with the prevalence of multimorbidity stratified by sex. Results: A total of 88,531 individuals were included. In absolute terms, the prevalence of multimorbidity was 29.4%. The frequency in men and women was 22.7 and 35.4%, respectively. Overall, multimorbidity was more prevalent among women, the older people, residents of the South and Southeast regions, urban area residents, former smokers, current smokers, physically inactive, overweight, and obese adults. Individuals with complete high school/incomplete higher education had a lower prevalence of multimorbidity than those with higher educational level. The associations between education and multimorbidity differed between sexes. In men, multimorbidity was inversely associated with the strata of complete middle school/incomplete high school and complete high school/incomplete higher education, while in women, the association between these variables was not observed. Physical inactivity was positively associated with a higher prevalence of multimorbidity only in men. An inverse association was verified between the recommended fruit and vegetable consumption and multimorbidity for the total sample and both sexes. Conclusion: One in four adults had multimorbidity. Prevalence increased with increasing age, among women, and was associated with some lifestyles. Multimorbidity was significantly associated with educational level and physical inactivity only in men. The results suggest the need to adopt integrated strategies to reduce the magnitude of multimorbidity, specific by gender, including actions for health promotion, disease prevention, health surveillance and comprehensive health care in Brazil.

Sarcopenia and mortality risk in community-dwelling Brazilian older adults.

We estimated the impact of sarcopenia parameters on mortality risk and assessed its prevalence and associated factors in the older adults according to the European Working Group on Sarcopenia in Older People's 2010 (EWGSOP1) and 2018 (EWGSOP2) criteria. This was a 10-year follow-up cohort study. Low muscle mass (MM) was defined as low skeletal muscle mass index (SMI) using dual-energy X-ray absorptiometry (DXA), and low calf circumference (CC). Cox regression and the Kaplan-Meier method were performed. The prevalence of sarcopenia and associated factors were influenced by the MM measurement method and diagnostic criteria used [6.8% (SMI and EWGSOP2), 12.8% (CC and EWGSOP2; and SMI and EWGSOP1) and 17.4% (CC and EWGSOP1)]. While a low BMI was associated with sarcopenia regardless of the sarcopenia definitions, diabetes, and high TGs were associated with sarcopenia only when using the EWGSOP1 criteria. Low SMI increased mortality risk (EWGSOP1: HR = 2.01, 95% CI 1.03-3.92; EWGSOP2: HR = 2.07, 95% CI 1.05-4.06). The prevalence of sarcopenia was higher according to EWGSOP1 than EWGSOP2. A low BMI, diabetes, and high TGs were associated with sarcopenia. A low SMI doubled the risk of mortality in community-dwelling older adults.