Gait speed and body mass index: Results from the AMI study

The relationship between sleep quality and gait in people with multiple sclerosis: A pilot study

Background

Gait deficits are common among people with multiple sclerosis (PwMS). Therefore, investigating factors that may influence walking in PwMS is important. Previous studies in older adults and other neurological populations demonstrated the relationship between sleep quality and gait performance. Despite the fact that the prevalence of poor sleep quality is very high among PwMS, little is known about the effect of sleep quality on gait among PwMS.

Objective

This study aimed to explore the relationship between sleep quality and gait performance in PwMS.

Methods

Forty-one PwMS participated in the study between February 2019 and December 2019. Participants were asked to walk at a self-selected speed over 10 m with an inertial measurement unit (IMU) attached over the back. Walking speed, step length (left and right), and step time were calculated. Sleep was estimated objectively using a wrist-worn triaxle-accelerometer; the derived parameters were sleep efficiency (SE) and the number of awakening after sleep onset (NASO).

Results

SE significantly correlated with step length (p = 0 . 02 ). Furthermore, the NASO significantly correlated with gait speed (p = 0 . 03 ), and step-time (p = 0 . 02 ). These correlations remained significant even after adjusting for age and disease duration.

Conclusion

We observed that when corrected for disease duration and age there were relationships between NASO and SE to gait parameters; these observations warrant further investigations.

Associations Between Gait Speed and Fat Mass in Older Adults

Purpose

Although both gait speed and fat mass are crucial for healthy aging, evidence suggests that the associations between these components remain unclear. Therefore, the main purpose of the study was to examine the associations between gait speed and fat mass.

Patients and Methods

In this cross-sectional study, we recruited 643 older men and women aged >60 years. Fat mass was assessed using bioelectrical impedance analysis, while gait speed was determined by calculating the time an individual has taken to walk across a 4.6-m distance. Receiver operating characteristic (ROC) curves and odds ratios (OR) were performed to determine cut-off points and mutual associations.

Results

In older men, the optimal threshold of gait speed to detect high level of fat mass was 1.40 m/s with the area under the curve (AUC) being 0.82 (95% CI 0.76-0.89, p < 0.001). In older women, the optimal cut-off point was 1.37 m/s (AUC = 0.85, 95% CI 0.81-0.90, p < 0.001). Older men and women who walked below the newly developed threshold were approximately 12 times more likely to have high level of fat.

Conclusion

In summary, newly developed cut-off points of gait speed have adequate discriminatory ability to detect older men and women with high level of fat mass. Although gait speed may be considered as a satisfactory screening tool for fat mass, its utility in clinical practice needs to be further investigated.

Gait speed and its associated factors among older black adults in Sub-Saharan Africa: Evidence from the WHO study on Global AGEing in older adults (SAGE)

Gait speed is an essential predictor of functional and cognitive decline in older adults. The study aimed to investigate the gait speed of older adults in Ghana and South Africa and to determine its associated factors, as the Sub-Saharan representatives in the World Health Organization's Study on Global AGEing in Older Adults (SAGE). A secondary analysis of data from the SAGE study which consists of nationally representative data involving participants aged ≥50+ years with smaller samples of younger adults aged 18-49 years in Ghana and South Africa was conducted. SAGE study employed a multistage, stratified clustered sample design and involved the use of a standardised questionnaire to obtain participants' (n = 5808) demographic, anthropometric and gait speed information. The standard 4 metre-gait speed was used. Median gait speed for the study group, which comprised African/Black participants aged ≥50+ years was 0.769(Q1 = 0.571, Q3 = 0.952)m/s for males and 0.667 (Q1 = 0.500,Q3 = 0.833)m/s for females. For every unit increase in age, the odds of being in a higher-ranked gait speed category was 0.96(95%CI 0·96, 0·97, p<0.001) times that of the previous age. Females had odds of 0.55 (95%CI 0.50, 0.61, p<0.001) of recording higher gait speed, as compared to males. Rural dwellers had odds of 1.43 (95%CI 1.29, 1.58, p < 0.001) of being in a higher-ranked category of gait speed compared to urban dwellers. Underweight (OR = 0.85, 95%C1 = 0.73-1.00, p<0.05) and obesity (OR = 0.53, 95%CI = 0.46-0.61, p<0.001) were associated with slower gait speed. Amongst functional indices, the World Health Organization Disability Assessment Schedule (WHODAS) score was the biggest determinant of gait speed. Having a "Severe/Extreme" WHODAS score had the strongest association with gait speed (OR = 0.18, 95%CI = 0.14-0.23, p<0.001). These gait speed results provide an essential reference for older adults' care in Ghana and South Africa.

Norms for Usual and Fast Walking Speed in Adults 45-69 Years Old From the French General Population: Constances Study

OBJECTIVES

Walking speed (WS) represents an objective measure of motor function and health. We aimed to develop usual (UWS) and fast WS (FWS) norms for the general population using a regression-based approach, while considering age, sex, height, and education.

DESIGN

Cross-sectional analysis of a population-based study.

SETTING AND PARTICIPANTS

French Constances study (45-69 years).

METHODS

UWS/FWS were measured over 3 m (dynamic start) using photoelectric cells. We addressed selection effects (related to survey sampling and nonresponse) and missing data using a combination of inverse probability weighting (IPW) and multiple imputation (MI). Norms by sex, age, height, and education (

RESULTS

Analyses are based on 44,772 participants (51.2% women) with a mean age of 56.8 years (SE = 0.2) for women and 57.3 years (SE = 0.2) for men, and a mean height of 161.4 cm (SE = 0.1) for women and 174.2 cm (SE = 0.1) for men after IPW/MI. WS estimates decreased after IPW/MI. The mean UWS was 116.9 cm/s (SE = 0.8) in women and 120.7 cm/s (SE = 0.8) in men, and the mean FWS was 168.7 cm/s (SE = 1.0) in women and 182.8 cm/s (SE = 1.2) in men. In the multiadjusted model, UWS/FWS decreased with age and increased with height and education. Men had faster FWS than women; they had slightly slower UWS than women in the low-education group, but there were no sex differences in the high-education group.

CONCLUSIONS AND IMPLICATIONS

We developed UWS/FWS norms by age, sex, height, and education for the French general population (45-69 years) that are available through a web app (https://cesp-proxy2.vjf.inserm.fr/NORMES-VM-EN/). These norms can be used to identify in midlife persons with lower motor performances than the general population, given their age, sex, height, and education, who are at higher risk of adverse outcomes.

Collapse

Key Words

• Walking speed
• aging
• population
• reference values
• selection bias

Collapse

MESH Headings

• Male
• Adult
• Humans
• Female
• Middle Aged
• Aged
• Walking Speed
• Cross-Sectional Studies
• Linear Models
• Walking/physiology

Collapse

Grants Collapse

Affiliation(s)

Félicia Santos Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805, Villejuif, France
Adeline Renuy Inserm, Université Paris Cité, Université Paris Saclay, Université de Versailles-Saint-Quentin-en-Yvelines (UVSQ), UMS 011 « Population-based cohorts unit », Villejuif, France
Anna Ozguler Inserm, Université Paris Cité, Université Paris Saclay, Université de Versailles-Saint-Quentin-en-Yvelines (UVSQ), UMS 011 « Population-based cohorts unit », Villejuif, France
Céline Ribet Inserm, Université Paris Cité, Université Paris Saclay, Université de Versailles-Saint-Quentin-en-Yvelines (UVSQ), UMS 011 « Population-based cohorts unit », Villejuif, France
Marcel Goldberg Inserm, Université Paris Cité, Université Paris Saclay, Université de Versailles-Saint-Quentin-en-Yvelines (UVSQ), UMS 011 « Population-based cohorts unit », Villejuif, France
Marie Zins Inserm, Université Paris Cité, Université Paris Saclay, Université de Versailles-Saint-Quentin-en-Yvelines (UVSQ), UMS 011 « Population-based cohorts unit », Villejuif, France
Fanny Artaud Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805, Villejuif, France
Alexis Elbaz Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805, Villejuif, France.

Collapse

On the relation between gait speed and gait cycle duration for walking on even ground

Gait models and reference motions are essential for the objective assessment of walking patterns and therapy progress, as well as research in the field of wearable robotics and rehabilitation devices in general. A human can achieve a desired gait speed by adjusting stride length and/or stride frequency. It is hypothesized that sex, age, and physique of a person have a significant influence on the combination of these parameters. A mathematical description of the relation between gait speed and its determinants is presented in the form of a parameterized analytic function. Based on the statistical significance of the parameters, three models are derived. The first two models are valid for slow to fast walking, which is defined as the interval of approximately 0.6-2.0ms-1, assuming a linear relation of gait speed and stride length, and a non-linear relation of gait speed and stride duration, respectively. The third model is valid for a defined range of walking speed centered at a certain (preferred or spontaneous) gait speed. The latter assumes a constant walk ratio, i.e. the ratio between step or stride length and step or stride frequency, and is recommended for walking at a speed of 1.0-1.6ms-1. On the basis of a large pool of gait datasets, regression coefficients with significance for age and/or body mass index are identified. The presented models allow to estimate the gait cycle duration based on gait speed, sex, age and body mass index of healthy persons walking on even ground.

Evaluation of balance and executive function relationships in older individuals

BACKGROUND

Executive function is an important cognitive factor in gait and balance control. Weakening of balance system components and executive functions due to aging may affect walking and balance and increase the risk of falling.

AIMS

The present study aimed to investigate the relationship between balance and executive function in older individuals and the contributions of physical activity and depression to this relationship.

METHODS

A total of 84 healthy individuals aged 60 and over were included in the study. In the study, the Timed Up and Go Test (TUG), Mini Balance Evaluation Systems Test (Mini-BESTest), Digit Symbol Substitution Test (DSST), Trail Making Test A and B (TMT A and TMT B), Physical Activity Scale for the Elderly (PASE), and Geriatric Depression Scale (GDS) were applied.

RESULTS

The Mini-BESTest and TUG correlated with DSST, TMT A, and TMT B. GDS was correlated with TUG. PASE was correlated with Mini-BESTest and TUG. Executive functions differed according to education level; DSST, TMT B, and GDS were effective in fall history.

DISCUSSION

There was a significant relationship between balance and executive function. It was found that balance and walking speed increased as executive function skills increased. Depression and physical activity are associated with balance and gait speed.

CONCLUSIONS

Balance and executive functions are related to each other, and physical activity and depression contribute to this relationship. In order to protect against the negative effects of aging, cognitive and physical training can be performed to prevent balance and executive function declines.

Reference Values for 3-Meter Backward Walk Test among Apparently Healthy Adults

OBJECTIVE

The 3-meter backward walk (3MBW) test is an outcome performance measure to assess backward walking mobility, balance, and risk of fall. However, the lack of baseline values is a potential limitation for its use as a rehabilitation target value or predictor of outcomes. This study aimed at ascertaining a gender- and age-reference value of 3MBW and determining its correlation with sociodemographic and anthropometric variables.

METHODS

A total of 1,601 Nigerian healthy adults participated in this cross-sectional study. 3MBW was measured following standardized procedure on a marked 3-m floor. Anthropometric and sociodemographic parameters were taken. Data were summarized using the descriptive statistics of mean, standard deviation, and percentile (less than the 25th, between the 25th and 75th, and above the 75th percentiles were regarded as low, average, and high 3MBW, respectively).

RESULTS

From this study, less than 2.23 s and 2.60 s were regarded as low risk of fall for males and females, respectively; 2.23-3.00 s and 2.60-3.50 s were regarded as average risk of fall for males and females, respectively, while greater than 3.00-3.9 s and 3.50-3.90 s were regarded as high risk of fall for males and females, respectively. 3MBWT was significantly associated with age (r = 0.51, p = 0.001), sex (r = 0.315, p = 0.001), weight (r = 0.14, p = 0.001), BMI (r = 0.28, p = 0.001), but not height (r = -0.03; p = 0.250).

CONCLUSION

This study provided a reference set of values according to age and gender for 3MBW in healthy individuals. Males have shorter 3MBW than females, and the time taken to accomplish 3MBW increases with age.

Outcomes addressed in randomized controlled lifestyle intervention trials in community-dwelling older people with (sarcopenic) obesity-An evidence map

Obesity and sarcopenic obesity (SO) are characterized by excess body fat with or without low muscle mass affecting bio-psycho-social health, functioning, and subsequently quality of life in older adults. We mapped outcomes addressed in randomized controlled trials (RCTs) on lifestyle interventions in community-dwelling older people with (sarcopenic) obesity. Systematic searches in Medline, Embase, Cochrane Central, CINAHL, PsycInfo, Web of Science were conducted. Two reviewers independently performed screening and extracted data on outcomes, outcome domains, assessment methods, units, and measurement time. A bubble chart and heat maps were generated to visually display results. Fifty-four RCTs (7 in SO) reporting 464 outcomes in the outcome domains: physical function (n = 42), body composition/anthropometry (n = 120), biomarkers (n = 190), physiological (n = 30), psychological (n = 47), quality of life (n = 14), pain (n = 4), sleep (n = 2), medications (n = 3), and risk of adverse health events (n = 5) were included. Heterogeneity in terms of outcome definition, assessment methods, measurement units, and measurement times was found. Psychological and quality of life domains were investigated in a minority of studies. There is almost no information beyond 52 weeks. This evidence map is the first step of a harmonization process to improve comparability of RCTs in older people with (sarcopenic) obesity and facilitate the derivation of evidence-based clinical decisions.

Gait Characteristics and Cognitive Function in Middle-Aged Adults with and without Type 2 Diabetes Mellitus: Data from ENBIND

Type 2 Diabetes Mellitus (T2DM) in midlife is associated with a greater risk of dementia in later life. Both gait speed and spatiotemporal gait characteristics have been associated with later cognitive decline in community-dwelling older adults. Thus, the assessment of gait characteristics in uncomplicated midlife T2DM may be important in selecting-out those with T2DM at greatest risk of later cognitive decline. We assessed the relationship between Inertial Motion Unit (IMUs)-derived gait characteristics and cognitive function assessed via Montreal Cognitive Assessment (MoCA)/detailed neuropsychological assessment battery (CANTAB) in middle-aged adults with and without uncomplicated T2DM using both multivariate linear regression and a neural network approach. Gait was assessed under (i) normal walking, (ii) fast (maximal) walking and (iii) cognitive dual-task walking (reciting alternate letters of the alphabet) conditions. Overall, 138 individuals were recruited (n = 94 with T2DM; 53% female, 52.8 ± 8.3 years; n = 44 healthy controls, 43% female, 51.9 ± 8.1 years). Midlife T2DM was associated with significantly slower gait velocity on both slow and fast walks (both p < 0.01) in addition to a longer stride time and greater gait complexity during normal walk (both p < 0.05). Findings persisted following covariate adjustment. In analyzing cognitive performance, the strongest association was observed between gait velocity and global cognitive function (MoCA). Significant associations were also observed between immediate/delayed memory performance and gait velocity. Analysis using a neural network approach did not outperform multivariate linear regression in predicting cognitive function (MoCA) from gait velocity. Our study demonstrates the impact of uncomplicated T2DM on gait speed and gait characteristics in midlife, in addition to the striking relationship between gait characteristics and global cognitive function/memory performance in midlife. Further studies are needed to evaluate the longitudinal relationship between midlife gait characteristics and later cognitive decline, which may aid in selecting-out those with T2DM at greatest-risk for preventative interventions.

Maintenance of Exercise Habit and Its Impact on Cardiovascular Risk Factors in Previously Sedentary People: A 7-Year Follow-Up

The aim of the study was to assess whether the level of physical activity in daily life in previously sedentary adults had been sustained 7 years beyond a 1-year supervised walking program. One hundred ten participants (63 females, 57.5 ± 8.4 years; 47 males, 66.4 ± 7.9 years) were recalled and assessed for physical activity in daily life, weight, body mass index, blood pressure, and walking speed. Fifty-nine percentage of the participants measured met and exceeded the World Health Organization physical activity guidelines (Group 1), while 41% did not (Group 2). In both groups, we observed a significant decrease of weight (72.0 ± 14.0 kg vs. 69.7 ± 14.0 kg in Group 1; 77.4 ± 19.5 kg vs. 75.4 ± 18.6 kg in Group 2) and body mass index (25.9 ± 3.7 vs. 25.1 ± 3.9 in Group 1; 27.9 ± 5.6 vs. 27.2 ± 5.4 in Group 2). Group 1 showed a significant increase in walking speed (5.8 ± 0.7 km/hr vs. 6.2 ± 0.8 km/hr), while systolic pressure did not change from the baseline. In Group 2, systolic pressure significantly increased (131.3 ± 13.5 mmHg vs. 138.0 ± 15.5 mmHg), while walking speed did not change. A guided walking program seems to have been effective in educating sedentary people to remain physically active over time.

Diabetes mellitus is associated with declines in physical function among men with and without HIV

OBJECTIVE

To determine the longitudinal relationships between abnormal glucose metabolism and physical function in persons with HIV (PWH) and without HIV.

DESIGN

Prospective cohort study of men with or at risk for HIV in four United States cities between 2006 and 2018.

METHODS

Men with or at risk for HIV from the Multicenter AIDS Cohort Study (MACS) had semi-annual assessments of glycemic status, grip strength, and gait speed. We used linear mixed models with random intercept to assess associations between glycemic status and physical function. Glycemic status was categorized as normal, impaired fasting glucose (IFG), controlled diabetes mellitus [hemoglobin A1C (HbA1C) <7.5%], or uncontrolled diabetes mellitus (HbA1C ≥ 7.5%).

RESULTS

Of 2240 men, 52% were PWH. Diabetes mellitus was similar among PWH (7.7%) vs. persons without HIV (6.7%, P = 0.36) at baseline. PWH had slower gait speed (1.17 vs. 1.20 m/s, P < 0.01) but similar grip strength (40.1 vs. 39.8 kg, P = 0.76) compared with persons without HIV at baseline. In multivariate models, gait speed decline was greater with controlled diabetes mellitus [-0.018 m/s (-0.032 to -0.005), P = 0.01] and grip strength decline was greater with controlled [-0.560 kg (-1.096 to -0.024), P = 0.04] and uncontrolled diabetes mellitus [-0.937 kg (-1.684 to -0.190), P = 0.01), regardless of HIV serostatus compared with normoglycemic individuals.

DISCUSSION

Abnormal glucose metabolism was associated with declines in gait speed and grip strength regardless of HIV serostatus. These data suggest that improvement in glucose control should be investigated as an intervenable target to prevent progression of physical function limitations among PWH.

Gait speed reference values in community-dwelling older adults - Cross-sectional analysis from the Rotterdam Study

BACKGROUND

Gait speed is a simple, inexpensive and clinically useful marker of physical function in older adults. We aimed to establish gait speed reference values for community-dwelling older adults. To this end, we further explored the association of age, sex and height with gait speed.

METHODS

This study included community-dwelling participants aged 50 years and over enrolled in the Rotterdam Study. Participants completed the gait protocol between 2009 and 2016. The mean gait speed was calculated for age and height groups, stratified by sex. Reference values for gait speed were calculated using a quantile regression model adjusted for sex, the non-linear effects of age and height, as well as the interaction between age and sex plus the interaction between age and height.

RESULTS

The study population included 4656 Dutch participants with a mean (standard deviation) age of 67.7 (9.5) years, comprising 2569 (55.2%) women. The mean height of the participants was 1.69 (0.10) meters and the mean gait speed was 1.20 (0.20) m/s. Gait speed was lower with older age and greater with taller stature, but the effect of height disappeared above the age of 80 years. Sex did not affect gait speed after accounting for age and height. Age-, sex-, and height-specific reference values for gait speed are available for use at https://emcbiostatistics.shinyapps.io/GaitSpeedReferenceValues/.

CONCLUSIONS

We found that height explains the commonly noted difference in usual gait speed between sexes and that neither height nor sex impacts gait speed in the very oldest adults. We developed reference values for usual gait speed in Western European community-dwelling older adults.

Changes in Mediolateral Postural Control Mechanisms During Gait After Total Knee Arthroplasty

BACKGROUND

Patients who have total knee arthroplasty (TKA) likely suffer from decreased postural stability because of postoperative changes in musculoskeletal structure and loss of proprioception. The purpose of this experimental biomechanical study was to determine if patients who have TKA improve their dynamic postural control during walking after TKA as compared with before TKA. The secondary purpose was to assess changes in postural control between post-TKA patients and healthy controls.

METHODS

Twenty-three patients who had primary knee osteoarthritis scheduled to undergo unilateral or bilateral TKA were prospectively enrolled. Each patient was tested at 3 months, 6 months, and 12 months after TKA. Ten healthy controls matched for age, sex, and body mass index were selected from a database of previous healthy volunteers without knee osteoarthritis. Ten Vicon cameras and four AMTI force platforms were used to collect the marker and center of pressure (COP) data while participants performed gait.

RESULTS

Initial improvement in the double stance ratio was found by 6 months after TKA compared with before TKA. Patients showed improved postural control as evidenced by a faster mediolateral COP velocity and decreased double stance ratio at 12-month post-TKA compared with pre-TKA (P < .05). However, patients who underwent TKA exhibited limited ability to maintain consistent COP movement during walking with increased variability in COP parameters as compared with controls (P < .05).

CONCLUSION

Patients exhibited improvement in dynamic postural control after TKA with time, but had higher variability in COP parameters during gait than controls. It is possible that therapy aimed to improve proprioceptive balance after TKA may improve dynamic postural control.

Dietary Patterns and Risk Factors of Frailty in Lebanese Older Adults

Factors associated with frailty, particularly dietary patterns, are not fully understood in Mediterranean countries. This study aimed to investigate the association of data-driven dietary patterns with frailty prevalence in older Lebanese adults. We conducted a cross-sectional national study that included 352 participants above 60 years of age. Sociodemographic and health-related data were collected. Food frequency questionnaires were used to elaborate dietary patterns via the K-mean cluster analysis method. Frailty that accounted for 15% of the sample was twice as much in women (20%) than men (10%). Identified dietary patterns included a Westernized-type dietary pattern (WDP), a high intake/Mediterranean-type dietary pattern (HI-MEDDP), and a moderate intake/Mediterranean-type dietary pattern (MOD-MEDDP). In the multivariate analysis, age, waist to height ratio, polypharmacy, age-related conditions, and WDP were independently associated with frailty. In comparison to MOD-MEDDP, and after adjusting for covariates, adopting a WDP was strongly associated with a higher frailty prevalence in men (OR = 6.63, 95% (CI) (1.82-24.21) and in women (OR = 11.54, 95% (CI) (2.02-65.85). In conclusion, MOD-MEDDP was associated with the least prevalence of frailty, and WDP had the strongest association with frailty in this sample. In the Mediterranean sample, a diet far from the traditional one appears as the key deleterious determinant of frailty.

The sex difference in gait speed among older adults: how do sociodemographic, lifestyle, social and health determinants contribute?

Background

This study explores whether a sex difference in sensitivity to (strength of the association) and/or in exposure to (prevalence) determinants of gait speed contributes to the observed lower gait speed among older women compared to men.

Methods

Data from the Longitudinal Aging Study Amsterdam (LASA) were used. In total 2407 men and women aged 55–81 years were included, with baseline measurements in 1992/2002 and follow-up measurements every 3–4 years for 15/25 years. Multivariable mixed model analysis was used to investigate sex differences in sensitivity (interaction term with sex) and in exposure to (change of the sex difference when adjusted) socio-demographic, lifestyle, social and health determinants of gait speed.

Results

Women had a 0.054 m/s (95 % CI: 0.076 − 0.033, adjusted for height and age) lower mean gait speed compared to men. In general, men and women had similar determinants of gait speed. However, higher BMI and lower physical activity were more strongly associated with lower gait speed in women compared to men (i.e. higher sensitivity). More often having a lower educational level, living alone and having more chronic diseases, pain and depressive symptoms among women compared to men also contributed to observed lower gait speed in women (i.e. higher exposure). In contrast, men more often being a smoker, having a lower physical activity and a smaller personal network size compared to women contributed to a lower gait speed among men (i.e. higher exposure).

Conclusions

Both a higher sensitivity and higher exposure to determinants of gait speed among women compared to men contributes to the observed lower gait speed among older women. The identified (modifiable) contributing factors should be taken into account when developing prevention and/or treatment strategies aimed to enhance healthy physical aging. This might require a sex-specific approach in both research and clinical practice, which is currently often lacking.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02279-7.

Risk factors for high fall risk in elderly patients with chronic kidney disease

PURPOSE

Patients with chronic kidney disease (CKD) usually represent an aging population, and both older age and CKD are associated with a higher risk of falling. Studies on risk factors among subjects with CKD are lacking.

METHODS

Records of outpatients from one geriatric clinic in Turkey were retrospectively reviewed. A result of ≥ 13.5 s on the timed up and go (TUG) test was accepted as a high risk of falls. Independent predictors of an increased risk of falls among subjects with CKD (estimated glomerular filtration rate of < 60 mL/min/1.73 m²) were identified using logistic regression models.

RESULTS

Patients with CKD (n = 205), represented the 20.2% of the entire cohort and was identified as an independent predictor of increased fall risk (OR 2.59). Within the CKD cohort, serum folic acid levels and frailty were independent predictors of an increased risk of falls. The CKD/fall risk group was older, had a lower median years of education, lower vitamin D levels, and lower serum folic acid levels than the CKD/non-fall risk group. In addition to higher serum creatinine and potassium levels, the only significant difference between patients with CKD/fall risk and a matched non-CKD/fall risk was a lower median folic acid level in the former group.

CONCLUSIONS

Frailty and low folic acid levels are independently associated with an increased risk of falls among elderly outpatients with CKD. Prevention of frailty may reduce the risk of falls in these subjects. Possible benefit of folic acid supplementation requires further studies.

Associations of Sleep Quality with Gait Speed and Falls in Older Adults: The Mediating Effect of Muscle Strength and the Gender Difference

INTRODUCTION

Although previous studies have reported the significant associations of sleep quality with gait speed and falls, the mechanisms underlying these associations are unclear. We aimed to examine the gender-specific associations of sleep quality with gait speed and falls among older adults and to explore the possible mediating effect of muscle strength on these relationships.

METHODS

Data were taken from wave 6 (2012-2013) of the English Longitudinal Study of Aging (ELSA), including 7,664 participants aged 60 years and older. Sleep quality and falls were assessed by self-report. Gait speed was measured by the "timed walking test" and then adjusted by height. As an indicator of overall muscle strength, grip strength was measured by using the Smedley dynamometer. Baron and Kenny's causal steps and the Karlson/Holm/Breen method were used to examine the mediating effect.

RESULTS

Higher sleep quality was associated with the higher level of gait speed (β = 0.008, p = 0.031 in men; β = 0.008, p = 0.017 in women) and with lower prevalence of falls (OR = 0.878, 95% CI: 0.773, 0.998 in men; OR = 0.874, 95% CI: 0.792, 0.965 in women). Grip strength mediated these associations in men but not in women, and the mediating effects of grip strength can explain 23.74 and 11.01% of the total effect of sleep quality on gait speed and falls, respectively.

CONCLUSION

Our findings help explain the mechanism underlying the associations of sleep quality with gait speed and falls. Effort to maintain the mobility of the older men should focus on improving both sleep quality and muscle strength.

Gait Speed is independently associated with Depression Symptoms in Mild Cognitive Impairment

Depression symptoms are known to influence gait speed in cognitively healthy adults. In this study, we aimed to examine the relationship between gait speed and depression symptoms in older patients with mild cognitive impairment. The participants were classified as slow and normal gait speed based on the Fried criteria. A total of 152 subjects with mild cognitive impairment were included. Of these, 39.5% (n=60) had slow gait speed. Compared to normal speed group (n=92), patients with slow speed had more clinically significant depression (geriatric depression scale score ≥ 6) (p=0.004), cardiovascular disease (p=0.007), recent falls (p<0.001), and anticholinergic burden (p=0.005). Multivariable logistic regression analysis yielded statistically significant associations between slow gait speed and depression in age and gender adjusted [OR:3.30 (1.46-7.46), p=0.004] and fully adjusted [OR: 2.80 (1.10-7.08), p=0.030] models. This study showed an independent association between slow gait speed and depression symptoms in older people with mild cognitive impairment.