Physical activity intensity profiles associated with cardiometabolic risk in middle-aged to older men and women

Accelerometers provide detailed data about physical activity (PA) across the full intensity spectrum. However, when examining associations with health, results are often aggregated to only a few summary measures [e.g. time spent “sedentary” or “moderate-to-vigorous” intensity PA]. Using multivariate pattern analysis, which can handle collinear exposure variables, we examined associations between the full PA intensity spectrum and cardiometabolic risk (CMR) in a population-based sample of middle-aged to older adults. Participants (n = 3660; mean ± SD age = 69 ± 8y and BMI = 26.7 ± 4.2 kg/m2; 55% female) from the EPIC-Norfolk study (UK) with valid accelerometry (ActiGraph-GT1M) data were included. We used multivariate pattern analysis with partial least squares regression to examine cross-sectional multivariate associations (r) across the full PA intensity spectrum [minutes/day at 0–5000 counts-per-minute (cpm); 5 s epoch] with a continuous CMR score (reflecting waist, blood pressure, lipid, and glucose metabolism). Models were sex-stratified and adjusted for potential confounders. There was a positive (detrimental) association between PA and CMR at 0-12 cpm (maximally-adjusted r = 0.08 (95%CI 0.06–0.10). PA was negatively (favourably) associated with CMR at all intensities above 13 cpm ranging between r = −0.09 (0.07–0.12) at 800-999 cpm and r = −0.14 (0.11–0.16) at 75–99 and 4000-4999 cpm. The strongest favourable associations were from 50 to 800 cpm (r = 0.10–0.12) in men, but from ≥2500 cpm (r = 0.18–0.20) in women; with higher proportions of model explained variance for women (R2 = 7.4% vs. 2.3%). Most of the PA intensity spectrum was beneficially associated with CMR in middle-aged to older adults, even at intensities lower than what has traditionally been considered “sedentary” or “light-intensity” activity. This supports encouragement of PA at almost any intensity in this age-group.publishedVersio

Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness

Hand grip strength is a widely used proxy of muscular fitness, a marker of frailty, and predictor of a range of morbidities and all-cause mortality. To investigate the genetic determinants of variation in grip strength, we perform a large-scale genetic discovery analysis in a combined sample of 195,180 individuals and identify 16 loci associated with grip strength (P<5 x 10(-8)) in combined analyses. A number of these loci contain genes implicated in structure and function of skeletal muscle fibres (ACTG1), neuronal maintenance and signal transduction (PEX14, TGFA, SYT1), or monogenic syndromes with involvement of psychomotor impairment (PEX14, LRPPRC and KANSL1). Mendelian randomization analyses are consistent with a causal effect of higher genetically predicted grip strength on lower fracture risk. In conclusion, our findings provide new biological insight into the mechanistic underpinnings of grip strength and the causal role of muscular strength in age-related morbidities and mortality

Treating lateral epicondylitis with corticosteroid injections or non-electrotherapeutical physiotherapy: a systematic review

Objectives. To evaluate the current evidence for the efficacy of corticosteroid injection and non-electrotherapeutic physiotherapy compared with control for treating lateral epicondylitis. Design. Systematic review. Participants. We searched five databases in September 2012 for randomised controlled studies with a minimum quality rating. Of the 640 studies retrieved, 11 were included, representing 1161 patients of both sexes and all ages. Interventions. Corticosteroid injection and non-electrotherapeutic physiotherapy. Outcome measures. Relative risk (RR) or standardised mean difference (SMD) for overall improvement, pain and grip strength at 4–12, 26 and 52 weeks of follow-up. Results. Corticosteroid injection gave a short-term reduction in pain versus no intervention or non-steroidal anti-inflammatory drugs (SMD -1.43, 95% CI -1.64 to -1.23). At intermediate follow-up, we found an increase in pain (SMD 0.32, 95% CI 0.13 to 0.51), reduction in grip strength (SMD -0.48, 95% CI -0.73 to -0.24) and negative effect on the overall improvement effect (RR 0.66 (0.53 to 0.81)). For corticosteroid injection versus lidocaine injection, the evidence was conflicting. At long-term follow-up, there was no difference on overall improvement and grip strength, with conflicting evidence for pain. Manipulation and exercise versus no intervention showed beneficial effect at short-term follow-up (overall improvement RR 2.75, 95% CI 1.30 to 5.82), but no significant difference at intermediate or long-term follow-up. We found moderate evidence for short-term and long-term effects of eccentric exercise and stretching versus no intervention. For exercise versus no intervention and eccentric or concentric exercise and stretching versus stretching alone, we found moderate evidence of no short-term effect. Conclusions. Corticosteroid injections have a short-term beneficial effect on lateral epicondylitis, but a negative effect in the intermediate term. Evidence on the long-term effect is conflicting. Manipulation and exercise and exercise and stretching have a short-term effect, with the latter also having a long-term effect

Physical activity intensity profiles associated with cardiometabolic risk in middle-aged to older men and women

Accelerometers provide detailed data about physical activity (PA) across the full intensity spectrum. However, when examining associations with health, results are often aggregated to only a few summary measures [e.g. time spent “sedentary” or “moderate-to-vigorous” intensity PA]. Using multivariate pattern analysis, which can handle collinear exposure variables, we examined associations between the full PA intensity spectrum and cardiometabolic risk (CMR) in a population-based sample of middle-aged to older adults. Participants (n = 3660; mean ± SD age = 69 ± 8y and BMI = 26.7 ± 4.2 kg/m2; 55% female) from the EPIC-Norfolk study (UK) with valid accelerometry (ActiGraph-GT1M) data were included. We used multivariate pattern analysis with partial least squares regression to examine cross-sectional multivariate associations (r) across the full PA intensity spectrum [minutes/day at 0–5000 counts-per-minute (cpm); 5 s epoch] with a continuous CMR score (reflecting waist, blood pressure, lipid, and glucose metabolism). Models were sex-stratified and adjusted for potential confounders. There was a positive (detrimental) association between PA and CMR at 0-12 cpm (maximally-adjusted r = 0.08 (95%CI 0.06–0.10). PA was negatively (favourably) associated with CMR at all intensities above 13 cpm ranging between r = −0.09 (0.07–0.12) at 800-999 cpm and r = −0.14 (0.11–0.16) at 75–99 and 4000-4999 cpm. The strongest favourable associations were from 50 to 800 cpm (r = 0.10–0.12) in men, but from ≥2500 cpm (r = 0.18–0.20) in women; with higher proportions of model explained variance for women (R2 = 7.4% vs. 2.3%). Most of the PA intensity spectrum was beneficially associated with CMR in middle-aged to older adults, even at intensities lower than what has traditionally been considered “sedentary” or “light-intensity” activity. This supports encouragement of PA at almost any intensity in this age-group

Physical activity intensity profiles associated with cardiometabolic risk in middle-aged to older men and women

Accelerometers provide detailed data about physical activity (PA) across the full intensity spectrum. However, when examining associations with health, results are often aggregated to only a few summary measures [e.g. time spent “sedentary” or “moderate-to-vigorous” intensity PA]. Using multivariate pattern analysis, which can handle collinear exposure variables, we examined associations between the full PA intensity spectrum and cardiometabolic risk (CMR) in a population-based sample of middle-aged to older adults. Participants (n = 3660; mean ± SD age = 69 ± 8y and BMI = 26.7 ± 4.2 kg/m2; 55% female) from the EPIC-Norfolk study (UK) with valid accelerometry (ActiGraph-GT1M) data were included. We used multivariate pattern analysis with partial least squares regression to examine cross-sectional multivariate associations (r) across the full PA intensity spectrum [minutes/day at 0–5000 counts-per-minute (cpm); 5 s epoch] with a continuous CMR score (reflecting waist, blood pressure, lipid, and glucose metabolism). Models were sex-stratified and adjusted for potential confounders. There was a positive (detrimental) association between PA and CMR at 0-12 cpm (maximally-adjusted r = 0.08 (95%CI 0.06–0.10). PA was negatively (favourably) associated with CMR at all intensities above 13 cpm ranging between r = −0.09 (0.07–0.12) at 800-999 cpm and r = −0.14 (0.11–0.16) at 75–99 and 4000-4999 cpm. The strongest favourable associations were from 50 to 800 cpm (r = 0.10–0.12) in men, but from ≥2500 cpm (r = 0.18–0.20) in women; with higher proportions of model explained variance for women (R2 = 7.4% vs. 2.3%). Most of the PA intensity spectrum was beneficially associated with CMR in middle-aged to older adults, even at intensities lower than what has traditionally been considered “sedentary” or “light-intensity” activity. This supports encouragement of PA at almost any intensity in this age-group

Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness.

Hand grip strength is a widely used proxy of muscular fitness, a marker of frailty, and predictor of a range of morbidities and all-cause mortality. To investigate the genetic determinants of variation in grip strength, we perform a large-scale genetic discovery analysis in a combined sample of 195,180 individuals and identify 16 loci associated with grip strength (P&lt;5 × 10-8) in combined analyses. A number of these loci contain genes implicated in structure and function of skeletal muscle fibres (ACTG1), neuronal maintenance and signal transduction (PEX14, TGFA, SYT1), or monogenic syndromes with involvement of psychomotor impairment (PEX14, LRPPRC and KANSL1). Mendelian randomization analyses are consistent with a causal effect of higher genetically predicted grip strength on lower fracture risk. In conclusion, our findings provide new biological insight into the mechanistic underpinnings of grip strength and the causal role of muscular strength in age-related morbidities and mortality