Clinical determinants of low handgrip strength and its decline in the oldest old: the Leiden 85-plus Study.

BACKGROUND: Age-related decline in muscle strength, dynapenia, is linked to serious adverse health outcomes. Evidence on the determinants of muscle strength decline in the oldest old is lacking. AIMS: To identify clinical variables associated with handgrip strength and its change over a 4-year period in an oldest old cohort. METHODS: We included 555 participants from the Leiden 85-plus Study, a prospective population-based study of 85-year-old inhabitants of Leiden, the Netherlands. Handgrip strength was assessed at age 85 and 89 years. Anthropometry, mental status, functional performance, and biochemical variables were obtained at baselines. Significant univariates were included into multivariable regression models to extract the final predictive variables. RESULTS: Handgrip strength for men and women at age 85 years was 30.6 kg (SD 8.2) and 18.7 kg (SD, 5.5), respectively. In the cross-sectional analysis, body height and weight were positively associated with handgrip strength in both genders. Higher functional performance was associated with stronger handgrip strength in women. Mean absolute handgrip strength decline over 4 years was greater for men than women (- 6.1 kg (SD, 5.2) vs. - 3.4 kg (SD, 4.1), p < 0.001). Men with better baseline cognitive functioning had smaller decline in handgrip strength. CONCLUSIONS: This study further strengthens evidence linking functional and cognitive performances to muscle strength in the oldest old. Future research is needed to ascertain causality and determine if these markers represent potential targets for intervention.

Temporal relationship between handgrip strength and cognitive performance in oldest old people.

BACKGROUND: cognitive decline and muscle weakness are prevalent health conditions in elderly people. We hypothesised that cognitive decline precedes muscle weakness. OBJECTIVE: to analyse the temporal relationship between cognitive performance and handgrip strength in oldest old people. DESIGN: prospective population-based 4-year follow-up study. SUBJECTS: a total of 555 subjects, all aged 85 years at baseline, were included into the study. METHODS: handgrip strength measured at age 85 and 89 years. Neuropsychological test battery to assess global cognitive performance, attention, processing speed and memory at baseline and repeated at age 89 years. Associations between handgrip strength and cognitive performance were analysed by repeated linear regression analysis adjusted for common confounders. RESULTS: at age 85 and 89 years, better cognitive performance was associated with higher handgrip strength (all, P<0.03), except for attention. There was no longitudinal association between baseline handgrip strength and cognitive decline (all, P>0.10), except for global cognitive performance (P=0.007). Better cognitive performance at age 85 years was associated with slower decline in handgrip strength (all, P<0.01) after adjustment for common confounders. CONCLUSION: baseline cognitive performance was associated with decline in handgrip strength, whereas baseline handgrip strength was not associated with cognitive decline. Our results suggest that cognitive decline precedes the onset of muscle weakness in oldest old people.

Can anthropometric measures be used as proxies for body composition and physical function in geriatric outpatients?

OBJECTIVES: The study aimed to evaluate the associations between anthropometric measures with body composition, in particular skeletal muscle mass, and with physical function in a cohort of geriatric outpatients. METHODS: We included 572 outpatients who attended geriatric clinics at Amsterdam UMC, location VUmc, Netherlands from January 2014 to December 2015. Anthropometric measures (height, weight, body circumferences, body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR)), and physical function measures (handgrip strength (HGS), Short Physical Performance Battery (SPPB) and Timed Up and Go test (TUG)) were obtained. Body composition was analysed using bioimpedance analysis (BIA) in a subgroup of 78 patients. Gender-stratified regression analyses were performed to test associations between anthropometric measures with body composition and physical function, adjusted for age. RESULTS: In females, BMI, WHtR and all measured body circumferences were positively associated with body fat mass (BFM) (all ß≥0.64, all p≤0.001). BMI and mid-upper arm circumference were also associated with fat-free mass (FFM) (ß=0.49, p=0.001; ß=0.53, p=0.01), skeletal muscle mass (SMM) (ß=0.39, p=0.01; ß=0.44, p=0.02) and skeletal muscle index (SMI) (ß=0.44, p=0.003; ß=0.44, p=0.02). In males, BMI, WHR, WHtR and waist circumference were positively associated with BFM (all ß≥0.54, all p≤0.02). Calf circumference was associated with FFM (ß=0.46, p=0.01), SMM (ß=0.47, p=0.01) and SMI (ß=0.50, p=0.01). BMI and central fat anthropometric measures were inversely associated with physical function. CONCLUSIONS: Mid-upper arm circumference and calf circumference could serve as practical proxy measures for skeletal muscle mass in geriatric outpatient setting, but their associations with physical function were weak.

Handgrip strength and mortality in the oldest old population: the Leiden 85-plus study.

BACKGROUND: Poor muscular strength has been shown to be associated with increased morbidity and mortality in diverse samples of middle-aged and elderly people. However, the oldest old population (i.e., over 85 years) is underrepresented in such studies. Our objective was to assess the association between muscular strength and mortality in the oldest old population. METHODS: We included 555 participants (65% women) from the Leiden 85-plus study, a prospective population-based study of all 85-year-old inhabitants of Leiden, Netherlands. We measured the handgrip strength of participants at baseline and again at age 89 years. We collected baseline data on comorbidities, functional status, levels of physical activity, and adjusted for potential confounders. During the follow-up period, we collected data on mortality. RESULTS: During a follow-up period of 9.5 years (range 8.5-10.5 years), 444 (80%) participants died. Risk for all-cause mortality was elevated among participants in the lowest tertile of handgrip strength at age 85 years (hazard ratio [HR] 1.35, 95% confidence interval [CI] 1.00-1.82, p = 0.047) and the lowest two tertiles of handgrip strength at age 89 years (HR 2.04, CI 1.24-3.35, p = 0.005 and HR 1.73, CI 1.11-2.70, p = 0.016). We also observed significantly increased mortality among participants in the tertile with the highest relative loss of handgrip strength over four years (HR 1.72, CI 1.07-2.77, p = 0.026). INTERPRETATION: Handgrip strength, a surrogate measurement of overall muscular strength, is a predictor of all-cause mortality in the oldest old population and may serve as a convenient tool for prognostication of mortality risk among elderly people.

Handgrip strength at midlife and familial longevity : The Leiden Longevity Study.

Low handgrip strength has been linked with premature mortality in diverse samples of middle-aged and elderly subjects. The value of handgrip strength as marker of "exceptional" human longevity has not been previously explored. We postulated that the genetic influence on extreme survival might also be involved in the muscular strength determination pathway. Therefore, the objective of this study was to assess the muscle strength in a sample of middle-aged adults who are genetically enriched for exceptional survival and comparing them to a control group. We included 336 offspring of the nonagenarian from the Leiden Longevity Study who were enriched for heritable exceptional longevity, and 336 of their partners were used as controls. The Leiden Longevity study was a prospective follow up study of long-living siblings pairs together with their offspring and their partners. Handgrip strength was used as a proxy for overall muscle strength. No significant difference in handgrip strength was seen between the offspring of the nonagenarian and their partners after adjustment for potential confounders including body compositions, sum score of comorbidities, medication use, smoking and alcohol history. The main determinants of midlife handgrip strength were age, gender, total body percentage fat and relative appendicular lean mass. Although midlife handgrip strength has previously been shown to be an important prognostic indicator of survival, it is not a marker of exceptional familial longevity in middle-aged adults. This finding suggests that genetic component of susceptibility to extreme survival is likely to be separate from that of muscular strength.

Circulating levels of IGF1 are associated with muscle strength in middle-aged- and oldest-old women.

OBJECTIVE: In aging populations, poor handgrip strength has been associated with physical disability and mortality. IGF1 is an important mediator of muscle growth and regeneration affecting muscle function. We studied the relationship between circulating levels of IGF1, its binding protein 3 (IGFBP3), and handgrip strength and physical performance in middle-aged- and oldest-old subjects. DESIGN: Cross-sectional analysis in two different cohorts composed of middle-aged- (n = 672, mean 63.9 ± 6.7 years) and oldest-old subjects (n = 272, all 89 years). METHODS: Handgrip strength, functional performance and ability, and serum levels of IGF1 and IGFBP3 were measured in all subjects and analyzed by linear regression for men and women separately. RESULTS: IGF1 and IGFBP3 levels declined with chronological age and were positively associated with handgrip strength in middle-aged- and oldest-old women (both, P < 0.05), but not in men of either age group. Furthermore, higher serum levels of IGF1 were associated with slower walking speed in oldest-old men (P = 0.012), and serum levels of IGFBP3 were positively associated with activities of daily living in the oldest-old women (P = 0.002). CONCLUSION: The significant relationship between IGF1 levels and muscle strength found in women but not in men suggests a gender-specific influence of IGF1 on muscle strength. Further studies are necessary to test the relationship with physical performance.

Accuracy of direct segmental multi-frequency bioimpedance analysis in the assessment of total body and segmental body composition in middle-aged adult population.

BACKGROUND & AIMS: Body composition measurement is a valuable tool for assessing nutritional status and physical fitness in a variety of clinical settings. Although bioimpedance analysis (BIA) can easily assess body composition, its accuracy remains unclear. We examined the accuracy of direct segmental multi-frequency BIA technique (DSM-BIA) in assessing different body composition parameters, using dual energy X-ray absorptiometry (DEXA) as a reference standard. METHODS: A total of 484 middle-aged participants from the Leiden Longevity Study were recruited. Agreements between DSM-BIA and DEXA for total and segmental body composition quantification were assessed using intraclass correlation coefficients and Bland-Altman plots. RESULTS: Excellent agreements were observed between both techniques in whole body lean mass (ICC female = 0.95, ICC men = 0.96), fat mass (ICC female = 0.97, ICC male = 0.93) and percentage body fat (ICC female = 0.93, ICC male = 0.88) measurements. Similarly, Bland-Altman plots revealed narrow limits of agreements with small biases noted for the whole body lean mass quantification but relatively wider limits for fat mass and percentage body fat quantifications. In segmental lean muscle mass quantification, excellent agreements between methods were demonstrated for the upper limbs (ICC female≥0.91, ICC men≥0.87) and lower limbs (ICC female≥0.83, ICC male≥0.85), with good agreements shown for the trunk measurements (ICC female = 0.73, ICC male = 0.70). CONCLUSIONS: DSM-BIA is a valid tool for the assessments of total body and segmental body composition in the general middle-aged population, particularly for the quantification of body lean mass.