Sarcopenia Definition Outcome Consortium - defined Weakness and Risk of Falls: The National Health and Aging Trends Survey.

AIM: The prevalence of obesity continues to rise, as does that of weakness. However, it is unclear how this impacts the risk of falling. We aimed to ascertain the risk of falls using new definitions of clinically defined weakness. METHODS: We applied clinically defined weakness definitions to the National Health and Aging Trends Survey using the Sarcopenia Definitions Outcomes Consortium cutpoints. Three exposure variables were created: grip-strength-defined weakness and body mass index [GS/BMI]-defined obesity; weakness and obesity, weakness and waist circumference-derived obesity (GS/WC); and weakness defined by a ratio of GS÷BMI. Proportional hazards modeled incident falls as a function of weakness with/without obesity (hazard ratio [HR] [95% confidence intervals]). RESULTS: Of 4906 respondents aged ≥ 65 years (54.5% female), the mean ± SD grip strength, BMI, and WC were 26.7 ± 10.6 kg, 27.4 ± 5.4 kg/m2 , and 99.5 ± 16.3 cm, respectively. Using the neither weakness/obesity as the referent, weakness was associated with incident falls across all definitions (GS/BMI: HR 1.19 [1.07, 1.33]; GS/WC: HR 1.39 [1.19, 1.62]; GS ÷ BMI: HR 1.16 [1.05, 1.28]). Weakness with obesity was associated with falls using GS/WC (HR 1.28 [1.11, 1.48]). Obesity status was associated with falls in both the BMI and the WC definition (1.17 [1.02-1.35], 1.16 [1.05-1.28]). CONCLUSION: Our findings further evaluate the definitions of clinically defined weakness with and without obesity in older adults. As falls are an important patient outcome, establishing this relationship is critical for both clinicians and researchers. Future study should identify high-risk individuals in order to direct specific interventions to them. Geriatr Gerontol Int 2023; 23: 213-220.

Community health worker interventions for older adults with complex health needs: A systematic review.

BACKGROUND/OBJECTIVES: The number of older adults with complex health needs is growing, and this population experiences disproportionate morbidity and mortality. Interventions led by community health workers (CHWs) can improve clinical outcomes in the general adult population with multimorbidity, but few studies have investigated CHW-delivered interventions in older adults. DESIGN: We systematically reviewed the impact of CHW interventions on health outcomes among older adults with complex health needs. We searched for English-language articles from database inception through April 2020 using seven databases. PROSPERO protocol registration CRD42019118761. SETTING: Any U.S. or international setting, including clinical and community-based settings. PARTICIPANTS: Adults aged 60 years or older with complex health needs, defined in this review as multimorbidity, frailty, disability, or high-utilization. INTERVENTIONS: Interventions led by a CHW or similar role consistent with the American Public Health Association's definition of CHWs. MEASUREMENTS: Pre-defined health outcomes (chronic disease measures, general health measures, treatment adherence, quality of life, or functional measures) as well as qualitative findings. RESULTS: Of 5671 unique records, nine studies met eligibility criteria, including four randomized controlled trials, three quasi-experimental studies, and two qualitative studies. Target population and intervention characteristics were variable, and studies were generally of low-to-moderate methodological quality. Outcomes included mood, functional status and disability, social support, well-being and quality of life, medication knowledge, and certain health conditions (e.g., falls, cognition). Results were mixed with several studies demonstrating significant effects on mood and function, including one high-quality RCT, while others noted no significant intervention effects on outcomes. CONCLUSION: CHW-led interventions may have benefit for older adults with complex health needs, but additional high-quality studies are needed to definitively determine the effectiveness of CHW interventions in this population. Integration of CHWs into geriatric clinical settings may be a strategy to deliver evidence-based interventions and improve clinical outcomes in complex older adults.

Modified STEADI Fall Risk Categories Predict Incident Cognitive Impairment.

BACKGROUND/OBJECTIVES: It is unknown whether older adults at high risk of falls but without cognitive impairment have higher rates of subsequent cognitive impairment. DESIGN: This was an analysis of cross-sectional and longitudinal data from National Health and Aging Trends Study (NHATS). SETTING: NHATS, secondary analysis of data from 2011 to 2019. PARTICIPANTS: Community dwelling adults aged 65 and older without cognitive impairment. MEASUREMENTS: Participants were classified at baseline in three categories of fall risk (low, moderate, severe) using a modified algorithm from the Center for Disease Control's STEADI (Stop Elderly Accidents, Deaths, and Injuries) and fall risk from data from the longitudinal NHATS. Impaired global cognition was defined as NHATS-derived impairment in either the Alzheimer's Disease-8 score, immediate/delayed recall, orientation, clock-drawing test, or date/person recall. The primary outcome was the first incident of cognitive impairment in an 8 year follow-up period. Cox-proportional hazard models ascertained time to onset of cognitive impairment (referent = low modified STEADI incidence). RESULTS: Of the 7,146 participants (57.8% female), the median age category was 75 to 80 years. Prevalence of baseline fall modified STEADI risk categories in participants was low (51.6%), medium (38.5%), and high (9.9%). In our fully adjusted model, the risk of developing cognitive impairment was hazard ratio (HR) 1.18 [95% CI = 1.08, 1.29] in the moderate risk category, and HR 1.74 [95% CI = 1.53, 1.98] in the high-risk category. CONCLUSION: Older, cognitively intact adults at high fall risk at baseline had nearly twice the risk of cognitive decline at 8 year follow-up.

Weight change and risk of the foundation of National Institute of Health Sarcopenia-defined low lean mass: Data from the National Health and Nutrition examination surveys 1999-2004.

BACKGROUND: Self-reported weight change may lead to adverse outcomes. We evaluated weight change with cutpoints of low lean mass (LLM) in older adults. METHODS: Of 4984 subjects ≥60 years from NHANES 1999-2004, we applied LLM cutoffs of appendicular lean mass (ALM):body mass index (BMI) males<0.789, females<0.512. Self-reported weight was assessed at time of survey, and questions asked participants their weight one and 10 years earlier, and at age 25. Weight changes were categorized as greater/less/none than 5%. Logistic regression assessed weight change (gain, loss, no change) on LLM, after adjustment. RESULTS: Of 4984 participants (56.5% female), mean age and BMI were 71.1 years and 28.2 kg/m2. Mean ALM was 19.7 kg. In those with LLM, 13.5% and 16.3% gained/lost weight in the past year, while 48.9% and 19.4% gained/lost weight in the past decade. Compared to weight at age 25, 85.2 and 6.1% of LLM participants gained and lost ≥5% of their weight, respectively. Weight gain over the past year was associated with a higher risk of LLM (OR 1.35 [0.99,1.87]) compared to weight loss ≥5% over the past year (0.89 [0.70,1.12]). Weight gain (≥5%) over 10-years was associated with a higher risk of LLM (OR 2.03 [1.66, 2.49]) while weight loss (≥5%) was associated with a lower risk (OR 0.98 [0.76,1.28]). Results were robust compared to weight at 25 years (gain OR 2.37 [1.76,3.20]; loss OR 0.95 [0.65,1.39]). CONCLUSION: Self-reported weight gain suggests an increased risk of LLM. Future studies need to verify the relationship with physical function.

Frailty Versus Stopping Elderly Accidents, Deaths and Injuries Initiative Fall Risk Score: Ability to Predict Future Falls.

OBJECTIVES: To compare the ability of frailty status to predict fall risk with that of community fall risk screening tools. DESIGN: Analysis of cross-sectional and longitudinal data from NHATS. SETTING: National Health and Aging Trend Study (NHATS) 2011-2015. PARTICIPANTS: Individuals aged 65 and older (N = 7,392). MEASUREMENTS: Fall risk was defined according to the Stopping Elderly Accidents, Deaths and Injuries (STEADI) initiative. Frailty was defined as exhaustion, weight loss, low activity, slow gait speed, and weak grip strength. Robust was defined as meeting 0 criteria, prefrailty as 1 or 2 criteria, and frailty as 3 or more criteria. Falls were self-reported and ascertained using NHATS subsequent rounds (2012-2015). We compared the ability of frailty to predict future falls with that of STEADI score, adjusting for age, race, sex, education, comorbidities, hearing and vision impairment, and disability. RESULTS: Of the 7,392 participants (58.5% female), there 3,545 (48.0%) were classified as being at low risk of falling, 2,966 (40.1%) as being at moderate risk, and 881 (11.9%) as being at high risk. The adjusted risk of falling over the 4 subsequent years was 2.5 times as great for the moderate-risk group (hazard ratio (HR) = 2.50, 95% confidence interval (CI) = 2.16-2.89) and almost 4 times as great (HR = 3.79, 95% CI = 2.76-5.21) for the high-risk group as for the low-risk group. Risk of falling was greater for those who were prefrail (HR = 1.34, 95% CI 1.16-1.55) and frail (HR = 1.20, 95% CI = 0.94-1.54) than for those who were robust. CONCLUSION: STEADI score is a strong predictor of future falls. Addition of frailty status does not improve the ability of the STEADI measure to predict future falls.

Mortality Risk Along the Frailty Spectrum: Data from the National Health and Nutrition Examination Survey 1999 to 2004.

OBJECTIVES: To determine the relationship between frailty and overall and cardiovascular mortality. DESIGN: Longitudinal mortality analysis. SETTING: National Health and Nutrition Examination Survey (NHANES) 1999-2004. PARTICIPANTS: Community-dwelling older adults aged 60 and older (N = 4,984; mean age 71.1 ± 0.19, 56% female). MEASUREMENTS: We used data from 1999-2004 cross-sectional NHANES and mortality data from the National Death Index, updated through December 2011. An adapted version of Fried's frailty criteria was used (low body mass index, slow walking speed, weakness, exhaustion, low physical activity). Frailty was defined as persons meeting 3 or more criteria, prefrailty as meeting 1 or 2 criteria, and robust (reference) as not meeting any criteria. The primary outcome was to evaluate the association between frailty and overall and cardiovascular mortality. Cox proportional hazard models were used to evaluate the association between risk of death and frailty category adjusted for age, sex, race, smoking, education, coronary artery disease, heart failure, nonskin cancer, diabetes, and arthritis. RESULTS: Half (50.4%) of participants were classified as robust, 40.3% as prefrail, and 9.2% as frail. Fully adjusted models demonstrated that prefrail (hazard ratio (HR) = 1.64, 95% confidence interval (CI) = 1.45-1.85) and frail (HR = 2.79, 95% CI = 2.35-3.30) participants had a greater risk of death and of cardiovascular death (prefrail: HR = 1.84, 95% CI = 1.45-2.34; frail: HR = 3.39, 95% CI = 2.45-4.70). CONCLUSION: Frailty and prefrailty are associated with increased risk of death. Demonstrating the association between prefrail status and mortality is the first step to identifying potential targets of intervention in future studies.

Operationalisation and validation of the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) fall risk algorithm in a nationally representative sample.

BACKGROUND: Preventing falls and fall-related injuries among older adults is a public health priority. The Stopping Elderly Accidents, Deaths, and Injuries (STEADI) tool was developed to promote fall risk screening and encourage coordination between clinical and community-based fall prevention resources; however, little is known about the tool's predictive validity or adaptability to survey data. METHODS: Data from five annual rounds (2011-2015) of the National Health and Aging Trends Study (NHATS), a representative cohort of adults age 65 years and older in the USA. Analytic sample respondents (n=7392) were categorised at baseline as having low, moderate or high fall risk according to the STEADI algorithm adapted for use with NHATS data. Logistic mixed-effects regression was used to estimate the association between baseline fall risk and subsequent falls and mortality. Analyses incorporated complex sampling and weighting elements to permit inferences at a national level. RESULTS: Participants classified as having moderate and high fall risk had 2.62 (95% CI 2.29 to 2.99) and 4.76 (95% CI 3.51 to 6.47) times greater odds of falling during follow-up compared with those with low risk, respectively, controlling for sociodemographic and health-related risk factors for falls. High fall risk was also associated with greater likelihood of falling multiple times annually but not with greater risk of mortality. CONCLUSION: The adapted STEADI clinical fall risk screening tool is a valid measure for predicting future fall risk using survey cohort data. Further efforts to standardise screening for fall risk and to coordinate between clinical and community-based fall prevention initiatives are warranted.