Nationwide handgrip strength values and factors associated with muscle weakness in older adults: findings from the Brazilian Longitudinal Study of Aging (ELSI-Brazil).

BACKGROUND: Handgrip strength (HGS) is a simple, quick, inexpensive, and highly reliable method for the assessment of muscle strength in clinical practice and epidemiological studies. This study aimed at describing the HGS values by age group and sex in Brazilians aged 50 years and over, determining age group- and sex-specific cutoff points for muscle weakness, and investigating sociodemographic and anthropometric variables associated with muscle weakness for each sex. METHODS: Data from the second wave of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) were analyzed. HGS was measured in the dominant hand using a hydraulic hand dynamometer. Fractional polynomial regression models were fitted to estimate the percentiles (P5, P10, P20, P25, P50, P75, P90, and P95) of HGS by age group and sex. The P20 of the maximum HGS by age group and sex was used to define muscle weakness. Associations between sociodemographic (racial self-classification, place of residence, schooling, and monthly household income per capita in tertiles) and anthropometric variables (body mass index and waist circumference) and muscle weakness, by sex, were evaluated using logistic regression. RESULTS: The analytical sample included 7905 participants (63.1 ± 9.1 years; 60% women). HGS reduced with increasing age in both sexes. Men presented higher HGS than women in all age groups. The cutoff points for muscle weakness ranged from 28 to 15 kg for men and from 17 to 9 kg for women. In the adjusted analyses, low schooling (0-4 years) was positively associated with muscle weakness in both sexes (in men, odds ratio (OR) 2.45, 95% confidence interval (CI) 1.46-4.12; in women, OR 1.90, 95%CI 1.18-3.06). Low and middle monthly household income per capita also had a positive association with muscle weakness among women (OR 1.78, 95%CI 1.37-2.32; OR 1.32, 95%CI 1.01-1.73, respectively). Overweight had a negative association with muscle weakness among men (OR 0.66, 95%CI 0.52-0.83), and obesity was inversely associated with muscle weakness in both sexes (in men, OR 0.49, 95%CI 0.31-0.78; in women, OR 0.69, 95%CI 0.52-0.92). CONCLUSIONS: This study provides HGS values and cutoff points for muscle weakness by age group and sex from a nationally representative sample of older Brazilian adults. The variables associated with muscle weakness slightly differed between men and women. HGS values and cutoff points generated can be used as benchmarks in clinical settings and foster future epidemiological research.

Differences in disability and nutritional status among older Brazilian and English adults: the Brazilian Longitudinal Study of Aging (ELSI-Brazil) and English Longitudinal Study of Aging (ELSA) cohorts.

BACKGROUND: Brazil and England are 2 countries at different stages in their demographic, epidemiological, and nutritional transitions and with distinct socioeconomic and politic contexts, but with similar universal health systems. We aimed to examine disability and its association with objective anthropometric indicators of nutritional status, including BMI, waist circumference, and waist-to-height ratio, comparing older Brazilian and English adults. METHODS: We used cross-sectional data from 2 nationally representative aging studies. For Brazil, we included 9412 participants who participated in the baseline (2015-2016) of the Brazilian Longitudinal Study of Aging (ELSI-Brazil). The English data were from 8024 participants of the wave 6 (2012-2013) of the English Longitudinal Study of Aging (ELSA). Disability was defined as difficulty to perform at least 1 activity of daily living. We used logistic regression models to examine the association between anthropometric indicators and disability, adjusted for sociodemographic and health-related characteristics, considering the interaction term between each anthropometric indicator and country. RESULTS: All health-related characteristics were worse in Brazil than England, although the prevalence of disability was similar among Brazilian (17.85%) and English (16.27%) older adults. Fully adjusted models showed statistically significant interaction terms between country and anthropometric indicators. The strength of the associations in Brazil was weaker compared with England. All anthropometric indicators were positively associated with disability: elevated BMI, in Brazil (OR: 1.27; 95% CI: 1.06, 1.51) and in England (OR: 1.80; 95% CI: 1.51, 2.14); elevated waist circumference, in Brazil (OR: 1.21; 95% CI: 1.02, 1.44) and in England (OR: 1.90; 95% CI: 1.51, 2.37); and elevated waist-to-height ratio, in Brazil (OR: 1.20; 95% CI: 0.96, 1.52) and in England (OR: 1.83; 95% CI: 1.37, 2.44). CONCLUSIONS: Elevated BMI and waist circumference increased the odds of disability in both populations. However, these associations were stronger in England than in Brazil.

Nutritional Risk is Associated with Chronic Musculoskeletal Pain in Community-dwelling Older Persons: The PAINEL Study.

Malnutrition is a risk factor for noncommunicable diseases related to ageing, and it can also contribute to musculoskeletal health. This study investigated whether nutritional risk is associated with chronic musculoskeletal pain in community-dwelling older persons. Nutritional risk was assessed by the DETERMINE Checklist. Chronic musculoskeletal pain was defined as the presence of pain in the past six months that did not disappear for at least 30 consecutive days. Multivariate logistic regression including confounding variables was used for the analysis. The sample was comprised of 383 participants (age 75.6 ± SD 6.1); the majority were at moderate-to-high nutritional risk (69%) and approximately one third presented chronic musculoskeletal pain (30%). The nutritional risk score was independently associated with chronic musculoskeletal pain: adding one unit in the risk score produces an 11% increment in the odds of presenting pain (OR 1.109, 95% CI 1.022-1.204). Individuals classified into moderate- or high-risk categories also had substantially higher odds (∼90%) of presenting chronic musculoskeletal pain when compared to those in the low-risk category, although our findings were only marginally significant. This is the first study to demonstrate the association between nutritional risk and chronic musculoskeletal pain above and beyond the contributed effects from relevant confounders.