Real-World Balance Assessment While Standing for Fall Prediction in Older Adults.

OBJECTIVE: Postural control naturally declines with age, leading to an increased risk of falling. Within clinical settings, the deployment of balance assessments has become commonplace, facilitating the identification of postural instability and targeted interventions to forestall falls among older adults. Some studies have ventured beyond the controlled laboratory, leaving, however, a gap in our understanding of balance in real-world scenarios. METHODS: Previously reported algorithms were used to build a finite-state machine (FSM) with four states: walking, turning, sitting, and standing. The FSM was validated against video annotations (gold standard) in an independent dataset with data collected on 20 older adults. Later, the FSM was applied to data from 168 community-dwelling older people in the InCHIANTI cohort who were evaluated both in the laboratory and then remotely in real-world conditions for a week. A 70/30 data split with recursive feature selection and resampling techniques was used to train and test four machine-learning models. RESULTS: In identifying fallers, duration, distance, and mean frequency computed during standing in real-world settings revealed significant relationships with fall risk. Also, the best-performing model (Lasso Regression) built on real-world balance features had a higher area under the curve (AUC, 0.76) than one built on lab-based assessments (0.57). CONCLUSION: Real-world balance features differ considerably from laboratory balance assessments (Romberg test) and have a higher predictive capacity for identifying patients at high risk of falling. SIGNIFICANCE: These findings highlight the need to move beyond traditional laboratory-based balance measures and develop more sensitive and accurate methods for predicting falls.

Defining Resilience in Older People: Does a Subjective Definition of Stressor Work?

BACKGROUND: The operational definition of resilience is elusive and resilient people are difficult to identify. We used self-reported "major health event" (srMHE) to identify resilience and evaluate the functional and mortality trajectories associated with this condition. METHOD: We selected from the InCHIANTI study persons aged 65 or older who could perform the Short Physical Performance Battery at baseline and attended the 3 years follow-up visit. We identified 4 groups: Controls: no srMHE and no decline in physical function; Decliners: no srMHE and decline in physical function; Resilient: srMHE and no decline in physical function; and Non-resilient: srMHE and decline in physical function. Linear mixed models and Cox regression were used to analyze changes in activities of daily living (ADL) score over 9- and 10-year mortality across groups, respectively. RESULTS: The 313 participants that reported a srMHE had worse perceived health status and higher number of GP visits and prescribed drugs at baseline. Of these, 78 were Resilient and 235 Non-resilient; of the remaining, 136 were Controls and 277 Decliners. Compared to the Controls, Resilient had similar change of ADL score over time (ß: -.03, p = .92) and mortality (hazard ratio: 1.31, 95% confidence interval: 0.76-2.23), while Decliners and Non-resilient showed significantly higher mortality and, the latter, worsening of ADL score. Additional srMHE during follow-up affected the rate of change of ADL score and mortality more in the Controls group than in the Resilient group. CONCLUSIONS: A srMHE along with repeated evaluation of physical function may be used to identify resilience in older people, and may complement the standard functional evaluation of geriatric patients.

An Exploratory Factor Analysis of Sensor-Based Physical Capability Assessment.

Physical capability (PC) is conventionally evaluated through performance-based clinical assessments. We aimed to transform a battery of sensor-based functional tests into a clinically applicable assessment tool. We used Exploratory Factor Analysis (EFA) to uncover the underlying latent structure within sensor-based measures obtained in a population-based study. Three hundred four community-dwelling older adults (163 females, 80.9 ± 6.4 years), underwent three functional tests (Quiet Stand, QS, 7-meter Walk, 7MW and Chair Stand, CST) wearing a smartphone at the lower back. Instrumented tests provided 73 sensor-based measures, out of which EFA identified a fifteen-factor model. A priori knowledge and the associations with health-related measures supported the functional interpretation and construct validity analysis of the factors, and provided the basis for developing a conceptual model of PC. For example, the "Walking Impairment" domain obtained from the 7MW test was significantly associated with measures of leg muscle power, gait speed, and overall lower extremity function. To the best of our knowledge, this is the first time that a battery of functional tests, instrumented through a smartphone, is used for outlining a sensor-based conceptual model, which could be suitable for assessing PC in older adults and tracking its changes over time.

Association of Methylation Signals With Incident Coronary Heart Disease in an Epigenome-Wide Assessment of Circulating Tumor Necrosis Factor α.

Importance: Tumor necrosis factor α (TNF-α) is a proinflammatory cytokine with manifold consequences for mammalian pathophysiology, including cardiovascular disease. A deeper understanding of TNF-α biology may enhance treatment precision. Objective: To conduct an epigenome-wide analysis of blood-derived DNA methylation and TNF-α levels and to assess the clinical relevance of findings. Design, Setting, and Participants: This meta-analysis assessed epigenome-wide associations in circulating TNF-α concentrations from 5 cohort studies and 1 interventional trial, with replication in 3 additional cohort studies. Follow-up analyses investigated associations of identified methylation loci with gene expression and incident coronary heart disease; this meta-analysis included 11 461 participants who experienced 1895 coronary events. Exposures: Circulating TNF-α concentration. Main Outcomes and Measures: DNA methylation at approximately 450 000 loci, neighboring DNA sequence variation, gene expression, and incident coronary heart disease. Results: The discovery cohort included 4794 participants, and the replication study included 816 participants (overall mean [SD] age, 60.7 [8.5] years). In the discovery stage, circulating TNF-α levels were associated with methylation of 7 cytosine-phosphate-guanine (CpG) sites, 3 of which were located in or near DTX3L-PARP9 at cg00959259 (ß [SE] = -0.01 [0.003]; P = 7.36 × 10-8), cg08122652 (ß [SE] = -0.008 [0.002]; P = 2.24 × 10-7), and cg22930808(ß [SE] = -0.01 [0.002]; P = 6.92 × 10-8); NLRC5 at cg16411857 (ß [SE] = -0.01 [0.002]; P = 2.14 × 10-13) and cg07839457 (ß [SE] = -0.02 [0.003]; P = 6.31 × 10-10); or ABO, at cg13683939 (ß [SE] = 0.04 [0.008]; P = 1.42 × 10-7) and cg24267699 (ß [SE] = -0.009 [0.002]; P = 1.67 × 10-7), after accounting for multiple testing. Of these, negative associations between TNF-α concentration and methylation of 2 loci in NLRC5 and 1 in DTX3L-14 PARP9 were replicated. Replicated TNF-α-linked CpG sites were associated with 9% to 19% decreased risk of incident coronary heart disease per 10% higher methylation per CpG site (cg16411857: hazard ratio [HR], 0.86; 95% CI, 0.78-1.95; P = .003; cg07839457: HR, 0.89; 95% CI, 0.80-0.94; P = 3.1 × 10-5; cg00959259: HR, 0.91; 95% CI, 0.84-0.97; P = .002; cg08122652: HR, 0.81; 95% CI, 0.74-0.89; P = 2.0 × 10-5). Conclusions and Relevance: We identified and replicated novel epigenetic correlates of circulating TNF-α concentration in blood samples and linked these loci to coronary heart disease risk, opening opportunities for validation and therapeutic applications.

Predictive Performance of a Fall Risk Assessment Tool for Community-Dwelling Older People (FRAT-up) in 4 European Cohorts.

BACKGROUND AND OBJECTIVE: The fall risk assessment tool (FRAT-up) is a tool for predicting falls in community-dwelling older people based on a meta-analysis of fall risk factors. Based on the fall risk factor profile, this tool calculates the individual risk of falling over the next year. The objective of this study is to evaluate the performance of FRAT-up in predicting future falls in multiple cohorts. METHODS: Information about fall risk factors in 4 European cohorts of older people [Activity and Function in the Elderly (ActiFE), Germany; English Longitudinal Study of Aging (ELSA), England; Invecchiare nel Chianti (InCHIANTI), Italy; Irish Longitudinal Study on Aging (TILDA), Ireland] was used to calculate the FRAT-up risk score in individual participants. Information about falls that occurred after the assessment of the risk factors was collected from subsequent longitudinal follow-ups. We compared the performance of FRAT-up against those of other prediction models specifically fitted in each cohort by calculation of the area under the receiver operating characteristic curve (AUC). RESULTS: The AUC attained by FRAT-up is 0.562 [95% confidence interval (CI) 0.530-0.594] for ActiFE, 0.699 (95% CI 0.680-0.718) for ELSA, 0.636 (95% CI 0.594-0.681) for InCHIANTI, and 0.685 (95% CI 0.660-0.709) for TILDA. Mean FRAT-up AUC as estimated from meta-analysis is 0.646 (95% CI 0.584-0.708), with substantial heterogeneity between studies. In each cohort, FRAT-up discriminant ability is surpassed, at most, by the cohort-specific risk model fitted on that same cohort. CONCLUSIONS: We conclude that FRAT-up is a valid approach to estimate risk of falls in populations of community-dwelling older people. However, further studies should be performed to better understand the reasons for the observed heterogeneity across studies and to refine a tool that performs homogeneously with higher accuracy measures across different populations.

Fall Risk Assessment Tools for Elderly Living in the Community: Can We Do Better?

BACKGROUND: Falls are a common, serious threat to the health and self-confidence of the elderly. Assessment of fall risk is an important aspect of effective fall prevention programs. OBJECTIVES AND METHODS: In order to test whether it is possible to outperform current prognostic tools for falls, we analyzed 1010 variables pertaining to mobility collected from 976 elderly subjects (InCHIANTI study). We trained and validated a data-driven model that issues probabilistic predictions about future falls. We benchmarked the model against other fall risk indicators: history of falls, gait speed, Short Physical Performance Battery (Guralnik et al. 1994), and the literature-based fall risk assessment tool FRAT-up (Cattelani et al. 2015). Parsimony in the number of variables included in a tool is often considered a proxy for ease of administration. We studied how constraints on the number of variables affect predictive accuracy. RESULTS: The proposed model and FRAT-up both attained the same discriminative ability; the area under the Receiver Operating Characteristic (ROC) curve (AUC) for multiple falls was 0.71. They outperformed the other risk scores, which reported AUCs for multiple falls between 0.64 and 0.65. Thus, it appears that both data-driven and literature-based approaches are better at estimating fall risk than commonly used fall risk indicators. The accuracy-parsimony analysis revealed that tools with a small number of predictors (~1-5) were suboptimal. Increasing the number of variables improved the predictive accuracy, reaching a plateau at ~20-30, which we can consider as the best trade-off between accuracy and parsimony. Obtaining the values of these ~20-30 variables does not compromise usability, since they are usually available in comprehensive geriatric assessments.

FRAT-up, a Web-based fall-risk assessment tool for elderly people living in the community.

BACKGROUND: About 30% of people over 65 are subject to at least one unintentional fall a year. Fall prevention protocols and interventions can decrease the number of falls. To be effective, a prevention strategy requires a prior step to evaluate the fall risk of the subjects. Despite extensive research, existing assessment tools for fall risk have been insufficient for predicting falls. OBJECTIVE: The goal of this study is to present a novel web-based fall-risk assessment tool (FRAT-up) and to evaluate its accuracy in predicting falls, within a context of community-dwelling persons aged 65 and up. METHODS: FRAT-up is based on the assumption that a subject's fall risk is given by the contribution of their exposure to each of the known fall-risk factors. Many scientific studies have investigated the relationship between falls and risk factors. The majority of these studies adopted statistical approaches, usually providing quantitative information such as odds ratios. FRAT-up exploits these numerical results to compute how each single factor contributes to the overall fall risk. FRAT-up is based on a formal ontology that enlists a number of known risk factors, together with quantitative findings in terms of odds ratios. From such information, an automatic algorithm generates a rule-based probabilistic logic program, that is, a set of rules for each risk factor. The rule-based program takes the health profile of the subject (in terms of exposure to the risk factors) and computes the fall risk. A Web-based interface allows users to input health profiles and to visualize the risk assessment for the given subject. FRAT-up has been evaluated on the InCHIANTI Study dataset, a representative population-based study of older persons living in the Chianti area (Tuscany, Italy). We compared reported falls with predicted ones and computed performance indicators. RESULTS: The obtained area under curve of the receiver operating characteristic was 0.642 (95% CI 0.614-0.669), while the Brier score was 0.174. The Hosmer-Lemeshow test indicated statistical significance of miscalibration. CONCLUSIONS: FRAT-up is a web-based tool for evaluating the fall risk of people aged 65 or up living in the community. Validation results of fall risks computed by FRAT-up show that its performance is comparable to externally validated state-of-the-art tools. A prototype is freely available through a web-based interface. TRIAL REGISTRATION: ClinicalTrials.gov NCT01331512 (The InChianti Follow-Up Study); http://clinicaltrials.gov/show/NCT01331512 (Archived by WebCite at http://www.webcitation.org/6UDrrRuaR).

Sensorimotor and psychosocial determinants of 3-year incident mobility disability in middle-aged and older adults.

OBJECTIVE: to identify sensorimotor and psychosocial determinants of 3-year incident mobility disability. DESIGN: prospective. SETTING: population-based sample of community-dwelling older persons. PARTICIPANTS: community-living middle-aged and older persons (age: 50-85 years) without baseline mobility disability (n = 622). MEASUREMENTS: mobility disability, defined as self-reported inability to walk a quarter mile without resting or inability to walk up a flight of stairs unsupported, was ascertained at baseline and 3-year follow-up. Potential baseline determinant characteristics included demographics, education, social support, financial condition, knee extensor strength, visual contrast sensitivity, cognition, depression, presence of chronic conditions and history of falls. RESULTS: a total of 13.5% participant reported 3-year incident mobility disability. Age ≥75 years, female sex, knee extensor strength in the lowest quartile, visual contrast sensitivity <1.7 on the Pelli-Robson chart or significant depressive symptoms (CESD score >16) were independent determinants of 3-year incident mobility disability (ORs 1.84-16.51). CONCLUSIONS: low visual contrast sensitivity, poor knee extensor strength and significant depressive symptoms are independent determinants of future onset of mobility disability.

[A screening and comprehensive assessment programme aimed at secondary prevention of disability in community-dwelling frail older subjects: a pilot study]. / Screening della fragilità e valutazione multidimensionale degli anziani residenti a domicilio per la prevenzione secondaria della disabilità: risultati di uno studio pilota.

OBJECTIVE: to test a screening and comprehensive assessment procedures for frail elderly in Tuscany (Central Italy) in the perspective of interventions to prevent disability. DESIGN: two-phases feasibility study: a) screening phase, using a postal questionnaire and b) comprehensive assessment phase, aimed at identifying risk factors for disability that might be targeted by specific interventions. SETTING AND PARTICIPANTS: 11,589 individuals aged over 70, living at home, identified from residents registry of 2 health care districts in Tuscany, excluding subjects with recognized disability and those living in nursing home. Participants were sent a 7-item postal questionnaire (modified Sherbrooke Postal Questionnaire). Respondents with a score =3, suggestive of frailty, were offered an in-home comprehensive assessment performed by a nurse or social worker, oriented to ascertain independence in activities of daily living, lower limbs extremity function, mood status, malnutrition risk, cognitive level, visual acuity, hearing function, environmental risk and medications number. General practitioners, social workers or specific health care services were thereafter informed about results of the assessment with recommendations for specific interventions. RESULTS: among 6,629 respondents to the questionnaire, 52% (No. 3,432) scored =3, triggering the comprehensive assessment, which was performed in 66% of cases (No. 2,276). Out of them, 38% showed already a disability in basic activities of daily living. Of the remaining 1,411, 38% showed a disability in instrumental activities of daily living, 30% a reduced lower limb extremity function, 18% depressive symptoms, and 11% a cognitive impairment. Human resources used for the project were limited in relation to the extent of the involved population. CONCLUSIONS: postal screening of frailty in older subjects is feasible and is able to identify patients who might benefit from further assessment to address interventions for specific risk factors.

Combining multiple continuous tests for the diagnosis of kidney impairment in the absence of a gold standard.

Receiver operating characteristic (ROC) curves are commonly used to summarize the classification accuracy of diagnostic tests. It is not uncommon in medical practice that multiple diagnostic tests are routinely performed or multiple disease markers are available for the same individuals. When the true disease status is verified by a gold standard (GS) test, a variety of methods have been proposed to combine such potential correlated tests to increase the accuracy of disease diagnosis. In this article, we propose a method of combining multiple diagnostic tests in the absence of a GS. We assume that the test values and their classification accuracies are dependent on covariates. Simulation studies are performed to examine the performance of the combination method. The proposed method is applied to data from a population-based aging study to compare the accuracy of three screening tests for kidney function and to estimate the prevalence of moderate kidney impairment.

Socioeconomic status during lifetime and cognitive impairment no-dementia in late life: the population-based aging in the Chianti Area (InCHIANTI) Study.

Thousand and twelve dementia-free elderly (60­98 years old) enrolled in the InChianti Study (Italy) were evaluated at baseline (1998­2000) and at 3-year follow-up (2001­2003) with the aim of analyzing the association of lifetime socioeconomic status (SES) with prevalent and incident cognitive impairment no-dementia (CIND). SES was defined from information on formal education, longest held occupation, and financial conditions through life. CIND was defined as age-adjusted Mini-Mental State Examination score one standard deviation below the baseline mean score of participants without dementia. Logistic regression and Cox proportional-hazards models were used to estimate the association of SES with CIND. Demographics,occupation characteristics (i.e., job stress and physical demand), cardiovascular diseases, diabetes, apolipoprotein E (APOE)genotype, smoking, alcohol consumption, depressive symptoms, and C-reactive protein were considered potential confounders.Prevalence of CIND was 17.7%. In the fully adjusted model, low education (OR = 2.1; 95% confidence intervals, CI = 1.4 to 3.2)was associated with prevalent CIND. Incidence rate of CIND was 66.0 per 1000 person-years. Low education (HR = 1.7; 95% CI = 1.04 to 2.6) and manual occupation (HR = 1.9; 95% CI = 1.0 to 3.6) were associated with incident CIND. Among covariates,high job-related physical demand was associated with both prevalent and incident CIND (OR = 1.6; 95% CI = 1.1 to 2.4 and HR= 1.5; 95% CI = 1.0 to 2.3). After stratification for education, manual occupation was still associated with CIND among participants with high education (HR = 2.2; 95% CI = 1.2 to 4.3 versus HR= 1.4; 95% CI = 0.2 to 10.4 among those with low education). Proxy markers of lifetime SES (low education, manual occupation and high physical demand) are cross-sectional correlates of CIND and predict incident CIND over a three-year follow-up.

Risk factors for disability in older persons over 3-year follow-up.

BACKGROUND: the identification of modifiable risk factors for preventing disability in older individuals is essential for planning preventive strategies. PURPOSE: to identify cross-sectional correlates of disability and risk factors for the development activities of daily living (ADL) and instrumental ADL (IADL) disability in community-dwelling older adults. METHODS: the study population consisted of 897 subjects aged 65-102 years from the InCHIANTI study, a population-based cohort in Tuscany (Italy). Factors potentially associated with high risk of disability were measured at baseline (1998-2000), and disability in ADLs and IADLs were assessed both at baseline and at the 3-year follow-up (2001-03). RESULTS: the baseline prevalence of ADL disability and IADL disability were, respectively, 5.5% (49/897) and 22.2% (199/897). Of 848 participants free of ADL disability at baseline, 72 developed ADL disability and 25 of the 49 who were already disabled had a worsening in ADL disability over a 3-year follow-up. Of 698 participants without IADL disability at baseline, 100 developed IADL disability and 104 of the 199 who already had IADL disability had a worsening disability in IADL over 3 years. In a fully adjusted model, high level of physical activity compared to sedentary state was significantly associated with lower incidence rates of both ADL and IADL disability at the 3-year follow-up visit (odds ratio (OR): 0.30; 95% confidence intervals (CI) 0.12-0.76 for ADL disability and OR: 0.18; 95% CI 0.09-0.36 for IADL disability). After adjusting for multiple confounders, higher energy intake (OR for difference in 100 kcal/day: 1.09; 95% CI 1.02-1.15) and hypertension (OR: 1.91; 95% CI 1.06-3.43) were significant risk factors for incident or worsening ADL disability. CONCLUSIONS: higher level of physical activity and lower energy intake may be protective against the development in ADL and IADL disability in older persons.

Relationship of an advanced glycation end product, plasma carboxymethyl-lysine, with slow walking speed in older adults: the InCHIANTI study.

Advanced glycation end products (AGEs) are bioactive molecules found in foods and generated endogenously in the body. AGEs induce cross-linking of collagen and increase the stiffness of skeletal muscle and cartilage. We characterized the relationship between a plasma AGE, carboxymethyl-lysine (CML), and slow walking speed (lowest quintile of walking speed) in older adults. Walking speed over a 4 m course was assessed in 944 adults, aged >or=65 years, in the InCHIANTI study, a population-based study of aging and mobility disability conducted in two towns in Tuscany, Italy. Participants in the highest quartile of plasma CML were at higher risk of slow walking speed (Odds Ratio [O.R.] 1.56, 95% Confidence Interval [C.I.] 1.02-2.38, P = 0.04) compared to those in the lower three quartiles of plasma CML in a logistic regression models adjusting for age, education, cognitive function, smoking, and chronic diseases. After exclusion of participants with diabetes, participants in the highest quartile of plasma CML were at higher risk of slow walking speed (O.R. 1.87, 95% C.I. 1.15-3.04, P = 0.01) adjusting for the same covariates. In older community-dwelling adults, elevated plasma CML is independently associated with slow walking speed.

Classification of residents in nursing homes in Tuscany (Italy) using Resource Utilization Groups Version III (RUG-III).

BACKGROUND AND AIMS: Samples of nursing homes in Tuscany (Italy) classify their residents and determine their case-mix according to the Resource Utilization Groups System, Version III (RUG-III). METHODS: A large sample of nursing homes was selected, based on willingness to participate, representation of both public and private institutions, and wide geographic representation. Two registered nurses assessed all residents using the RUG questionnaire. The information collected was then used to group residents into 44 RUGs, and facility-specific case-mix indices were calculated using the RUG-specific weights previously validated in Italy. RESULTS: A total of 3981 residents from 93 nursing homes were assessed. Most residents were over 75 years old (87.4%) and women (68.6%). A large percentage was classified into RUGs within the following primary categories: reduced physical function (33.6%), impaired cognition (17.6%) and clinically complex (17.6%). The resulting nursing home case-mix indices ranged from 0.627 to 1.108 (mean 0.807+/-0.110). No significant association was found between type of facility, level of fees, or extent of staff in the nursing homes and their case-mix indices. CONCLUSIONS: RUGIII can provide information on types of nursing home residents and their care needs. This is useful for monitoring and evaluating long-term care services for the elderly, and allows for more effective planning and allocation of staffing and financial resources.

Nursing home case-mix instruments: validation of the RUG-III system in Italy.

BACKGROUND AND AIMS: The current Italian reimbursement system for long-term care does not adequately consider the great variability in the health and functional status of older persons who are admitted to long-term care institutions. Furthermore, no procedure is implemented to monitor the quality of care provided to older residents. We conducted this study to verify whether the RUG-III (Resource Utilization Groups-version III), a tool for assessing the case-mix of nursing home residents, which is widely used in the United States and in many European countries, can be effectively used in the Italian health care system. METHODS: We administered an Italian version of the RUG-III to 1000 older residents of 11 intermediate- and long-term care institutions. We also collected objective information on the amount of care provided directly or indirectly to each resident by nurses, physical therapists, and other health professionals. RESULTS: The RUG-III 44 group classification system explained 61 and 44% of the variance in rehabilitative and nursing wage-adjusted care time, respectively. CONCLUSIONS: Our findings provide strong evidence that the RUG-III classification, applied to Italian intermediate- and long-term care institutions, provides a robust estimate of the amount of nursing and rehabilitation resources consumed by older residents.

Changes in anthropometric measures in men and women across the life-span: findings from the InCHIANTI study.

OBJECTIVES: To describe the age distribution of anthropometric parameters in a population-based sample of older persons. METHODS: Cross-sectional survey of a population-based sample of persons over a wide age-range living in the Chianti area, Italy, between 1998 to 2000. Total cohort: 1453 men and women, of whom 424 younger than 65 and 1029 aged 65 years or older. Participation rate: 69.4% in < 65 yrs and 91.6% in > or = 65 yrs. Analytical cohort: anthropometric measures were available for 1266 subjects. RESULTS: Height and weight declined with increasing age in both sexes. In men, Body mass index (BMI) increased with age up to age 45-54 and then it declined. In women, it reached its maximum at age 65-74 and remained higher than in men in each corresponding age group above 65 years of age. Waist-to-hip ratio (WHR) progressively increased in men up to age 55-64 and then slightly declined. In women WHR steadily increased over the entire age range. CONCLUSIONS: Height and weight decline with age, regardless to differences in body size attributable to secular trend. In both sexes, important fat redistribution occurs between 45 and 54 years and in older women the increase in WHR mostly reflects a reduction of fat deposits in the hips. This information may be relevant for a correct interpretation of changes in WHR in older persons. However, these findings were obtained in a cross-sectional study and should be verified in a longitudinal perspective.