Effects of a Community-Based Exercise Program on Older Adults' Physical Function, Activities of Daily Living, and Exercise Self-Efficacy: Feeling Fit Club.

Community-based exercise programs have demonstrated feasibility, yet many lack controlled studies examining their efficacy. This study examined the efficacy of a community-based exercise program, using a controlled design. Participants (N = 262, Mage = 74.0 years, SD = 8.4) were women (77%) and men recruited from senior centers served by the county Area Agency on Aging. Intervention participants (n = 133) were newly enrolled in classes. Controls (n = 129) were recruited from matched sites not offering classes. Validated measures of physical function, exercise self-efficacy, balance, and activities of daily living (ADL) confidence were administered at baseline and 3 months. Significant improvements in upper and lower body strength, aerobic endurance, mobility, exercise self-efficacy, and balance were found in the exercisers but not controls. No changes in ADL confidence occurred in exercisers, while significant decreases occurred in controls. Findings support the efficacy of the county-wide program. Building an evidence base for community-delivered programs should provide impetus for increased dissemination through state and national agencies thereby increasing program impact.

A comparison of accelerometry analysis methods for physical activity in older adult women and associations with health outcomes over time.

This study compared five different methods for analyzing accelerometer-measured physical activity (PA) in older adults and assessed the relationship between changes in PA and changes in physical function and depressive symptoms for each method. Older adult females (N = 144, Mage = 83.3 ± 6.4yrs) wore hip accelerometers for six days and completed measures of physical function and depressive symptoms at baseline and six months. Accelerometry data were processed by five methods to estimate PA: 1041 vertical axis cut-point, 15-second vector magnitude (VM) cut-point, 1-second VM algorithm (Activity Index (AI)), machine learned walking algorithm, and individualized cut-point derived from a 400-meter walk. Generalized estimating equations compared PA minutes across methods and showed significant differences between some methods but not others; methods estimated 6-month changes in PA ranging from 4 minutes to over 20 minutes. Linear mixed models for each method tested associations between changes in PA and health. All methods, except the individualized cut-point, had a significant relationship between change in PA and improved physical function and depressive symptoms. This study is among the first to compare accelerometry processing methods and their relationship to health. It is important to recognize the differences in PA estimates and relationship to health outcomes based on data processing method. Abbreviation: Machine Learning (ML); Short Physical Performance Battery (SPPB); Center of Epidemiologic Studies Depression Scale (CES-D); Physical Activity (PA); Activity Index (AI); Activities of Daily Living (ADL).

The Association Between Self-Reported Adherence to Physical Activity Recommendations and Criteria for Maintaining Physical Independence of Older Adults.

While physical activity (PA) improves functions for activities of daily living, little is known of the association between meeting published PA Guidelines for Americans (PAGA) and meeting published physical function guidelines for maintaining independence. The purpose of this study was to examine the association between meeting the PAGA and meeting independence criteria on the Senior Fitness Tests (SFT). Older adults (N = 265) completed SFTs, assessing cardiorespiratory fitness, lower and upper body strength, mobility, and self-reported aerobic and resistance PA. Chi-square tests and logistic regressions examined associations between meeting PAGA and SFT independence criteria. A significant relationship was found between meeting aerobic PAGA and cardiorespiratory and upper body SFT criteria; a significant relationship was found between meeting resistance PAGA and upper body strength criteria. Although research suggests that PAGA are effective in maintaining fitness in older adults when PA is structured and monitored, mixed results were found for self-reported PA and SFT criteria.

Validity and Reliability of a Portable Balance Tracking System, BTrackS, in Older Adults.

BACKGROUND AND PURPOSE: Falls are the leading cause of disability, injury, hospital admission, and injury-related death among older adults. Balance limitations have consistently been identified as predictors of falls and increased fall risk. Field measures of balance are limited by issues of subjectivity, ceiling effects, and low sensitivity to change. The gold standard for measuring balance is the force plate; however, its field use is untenable due to high cost and lack of portability. Thus, a critical need is observed for valid objective field measures of balance to accurately assess balance and identify limitations over time. The purpose of this study was to examine the concurrent validity and 3-day test-retest reliability of Balance Tracking System (BTrackS) in community-dwelling older adults. Minimal detectable change values were also calculated to reflect changes in balance beyond measurement error. METHODS: Postural sway data were collected from community-dwelling older adults (N = 49, mean [SD] age = 71.3 [7.3] years) with a force plate and BTrackS in multitrial eyes open (EO) and eyes closed (EC) static balance conditions. Force sensors transmitted BTrackS data via a USB to a computer running custom software. Three approaches to concurrent validity were taken including calculation of Pearson product moment correlation coefficients, repeated-measures ANOVAs, and Bland-Altman plots. Three-day test-retest reliability of BTrackS was examined in a second sample of 47 community-dwelling older adults (mean [SD] age = 75.8 [7.7] years) using intraclass correlation coefficients and MDC values at 95% CI (MDC95) were calculated. RESULTS: BTrackS demonstrated good validity using Pearson product moment correlations (r > 0.90). Repeated-measures ANOVA and Bland-Altman plots indicated some BTrackS bias with center of pressure (COP) values higher than FP COP values in the EO (mean [SD] bias = 4.0 [6.8]) and EC (mean [SD] bias = 9.6 [12.3]) conditions. Test-retest reliability using intraclass correlation coefficients (ICC2.1 was excellent (0.83) and calculated MDC95 for EO (9.6 cm) and EC (19.4 cm) and suggested that postural sway changes of these amounts are meaningful. DISCUSSION: BTrackS showed some bias with values exceeding force plate values in both EO and EC conditions. Excellent test-retest reliability and resulting MDC95 values indicated that BTrackS has the potential to identify meaningful changes in balance that may warrant intervention. CONCLUSION: BTrackS is an objective measure of balance that can be used to monitor balance in community-dwelling older adults over time. It can reliably identify changes that may require further attention (eg, fall-prevention strategies, declines in physical function) and shows promise for assessing intervention efficacy in this growing segment of the population.

Body Mass-Related Predictors of the Female Athlete Triad Among Adolescent Athletes.

Early detection of the female athlete triad is essential for the long-term health of adolescent female athletes. The purpose of this study was to assess relationships between common anthropometric markers (ideal body weight [IBW] via the Hamwi formula, youth-percentile body mass index [BMI], adult BMI categories, and body fat percentage [BF%]) and triad components, (low energy availability [EA], measured by dietary restraint [DR], menstrual dysfunction [MD], low bone mineral density [BMD]). In the sample (n = 320) of adolescent female athletes (age 15.9± 1.2 y), Spearman's rho correlations and multiple logistic regression analyses evaluated associations between anthropometric clinical cutoffs and triad components. All underweight categories for the anthropometric measures predicted greater likelihood of MD and low BMD. Athletes with an IBW >85% were nearly 4 times more likely to report MD (OR = 3.7, 95% CI [1.8, 7.9]) and had low BMD (OR = 4.1, 95% CI [1.2, 14.2]). Those in <5th percentile for their age-specific BMI were 9 times more likely to report MD (OR 9.1, 95% CI [1.8, 46.9]) and had low BMD than those in the 50th to 85th percentile. Athletes with a high BF% were almost 3 times more likely to report DR (OR = 2.8, 95% CI [1.4, 6.1]). Our study indicates that low age-adjusted BMI and low IBW may serve as evidence-based clinical indicators that may be practically evaluated in the field, predicting MD and low BMD in adolescents. These measures should be tested for their ability as tools to minimize the risk for the triad.