To monitor the health of the public in England, UK, the Central Health Monitoring Unit within the UK Department of Health commissioned an annual health examination survey, which became known as the Health Survey for England (HSE). The first survey was completed in 1991. The HSE covers all of England and is a nationally representative sample of those residing at private residential addresses. Each survey year consists of a new sample of private residential addresses and people. The HSE collects detailed information on mental and physical health, health-related behaviour, and objective physical and biological measures in relation to demographic and socio-economic characteristics of people aged 16 years and over at private residential addresses. There are two parts to the HSE; an interviewer visit, to conduct an interview and measure height and weight, then a nurse visit, to carry out further measurements and take biological samples. Since 1994, survey participants aged 16 years and over have been asked for consent to follow-up through linkage to mortality and cancer registration data, and from 2003, to the Hospital Episode Statistics database, thus converting annual cross-sectional survey data into a longitudinal study. Annual survey data (1994-2009) are available through the UK Data Archive.

Body composition and muscle function have important implications for falls and fractures in older adults. We aimed to investigate longitudinal associations between sarcopenic obesity and its components with bone mineral density (BMD) and incident falls and fractures in Australian community-dwelling older men. A total of 1486 men aged ≥70 years from the Concord Health and Ageing in Men Project (CHAMP) study were assessed at baseline (2005-2007), 2-year follow-up (2007-2009; n = 1238), and 5-year follow-up (2010-2013; n = 861). At all three time points, measurements included appendicular lean mass (ALM), body fat percentage and total hip BMD, hand-grip strength, and gait speed. Participants were contacted every 4 months for 6.1 ± 2.1 years to ascertain incident falls and fractures, the latter being confirmed by radiographic reports. Sarcopenic obesity was defined using sarcopenia algorithms of the European Working Group on Sarcopenia (EWGSOP) and the Foundation for the National Institutes of Health (FNIH) and total body fat ≥30% of total mass. Sarcopenic obese men did not have significantly different total hip BMD over 5 years compared with non-sarcopenic non-obese men (p > 0.05). EWGSOP-defined sarcopenic obesity at baseline was associated with significantly higher 2-year fall rates (incidence rate ratio [IRR] 1.66; 95% confidence interval [CI] 1.16-2.37), as were non-sarcopenic obesity (1.30; 1.04-1.62) and sarcopenic non-obesity (1.58; 1.14-2.17), compared with non-sarcopenic non-obese. No association with falls was found for sarcopenic obesity using the FNIH definition (1.01; 0.63-1.60), but after multivariable adjustment, the FNIH-defined non-sarcopenic obese group had a reduced hazard for any 6-year fracture compared with sarcopenic obese men (hazard ratio 0.44; 95% CI 0.23-0.86). In older men, EWGSOP-defined sarcopenic obesity is associated with increased fall rates over 2 years, and FNIH-defined sarcopenic obese men have increased fracture risk over 6 years compared with non-sarcopenic obese men. © 2016 American Society for Bone and Mineral Research.

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OBJECTIVESAnalyses performed by the Sarcopenia Definitions and Outcomes Consortium (SDOC) identified cut‐points in several metrics of grip strength for consideration in a definition of sarcopenia. We describe the associations between the SDOC‐identified metrics of low grip strength (absolute or standardized to body size/composition); low dual‐energy x‐ray absorptiometry (DXA) lean mass as previously defined in the literature (appendicular lean mass [ALM]/ht2); and slowness (walking speed <.8 m/s) with subsequent adverse outcomes (falls, hip fractures, mobility limitation, and mortality).DESIGNIndividual‐level, sex‐stratified pooled analysis. We calculated odds ratios (ORs) or hazard ratios (HRs) for incident falls, mobility limitation, hip fractures, and mortality. Follow‐up time ranged from 1 year for falls to 8.8 ± 2.3 years for mortality.SETTINGEight prospective observational cohort studies.PARTICIPANTSA total of 13,421 community‐dwelling men and 4,828 community‐dwelling women.MEASUREMENTSGrip strength by hand dynamometry, gait speed, and lean mass by DXA.RESULTSLow grip strength (absolute or standardized to body size/composition) was associated with incident outcomes, usually independently of slowness, in both men and women. ORs and HRs generally ranged from 1.2 to 3.0 for those below vs above the cut‐point. DXA lean mass was not consistently associated with these outcomes. When considered together, those who had both muscle weakness by absolute grip strength (<35.5 kg in men and <20 kg in women) and slowness were consistently more likely to have a fall, hip fracture, mobility limitation, or die than those without either slowness or muscle weakness.CONCLUSIONOlder men and women with both muscle weakness and slowness have a higher likelihood of adverse health outcomes. These results support the inclusion of grip strength and walking speed as components in a summary definition of sarcopenia. J Am Geriatr Soc 68:1429‐1437, 2020.

low muscle mass and sarcopenic obesity were associated with poor functional outcomes, independent of confounders. This would suggest that future trials on frailty and disability prevention should be designed to intervene on both muscle mass and fat mass.

vitamin D deficiency exists at worrying levels among those aged 65 years and over. Further action is needed to alert health professionals about the risks related to vitamin D deficiency and extend the provision of prevention and treatment programmes targeted to those in need.

Old age is characterized by a complex pattern of multimorbidity and comorbidity. Single disease definitions do not account for the prevalence and complexity of multimorbidity in older people and a new lexicon may be needed to underpin research and health care interventions for older people.

Poor dentition is associated with cognitive impairment. Nutritional status in people with cognitive impairment is recognized to be at risk. Although dental health did not account for the association between cognitive impairment and low BMI in this sample, other possible nutritional consequences require further evaluation.