Physical inactivity in older adults with cognitive impairment without dementia: room for improvement

Physical Activity Engagement After Tai Ji Quan Intervention Among Older Adults With Mild Cognitive Impairment or Memory Concerns: A Secondary Analysis of a Randomized Clinical Trial

Importance

The effect of exercise interventions on increasing and sustaining moderate to vigorous physical activity (MVPA) among older adults with mild cognitive impairment (MCI), who are at heightened risk of dementia, remains unclear.

Objective

To examine whether participation in a 6-month, supervised, home-based tai ji quan intervention increases MVPA among US community-dwelling older adults at 1 year.

Design, Setting, and Participants

This study was a secondary analysis of a parallel-group, outcome assessor-blinded, randomized clinical trial conducted virtually at participants' homes. Eligible participants were aged 65 years or older, lived independently, and had a baseline Clinical Dementia Rating (CDR) global score of 0.5 or less. Participants were enrolled between October 1, 2019, and June 30, 2022. Final follow-up occurred in May 2023.

Interventions

Participants were randomly assigned (1:1:1) to standard tai ji quan, cognitively enhanced tai ji quan, or stretching, and they exercised (via real-time videoconferencing) 1 hour semiweekly for 6 months.

Main Outcomes and Measures

The primary outcome was self-reported time engaged in MVPA (in minutes per week), assessed with the International Physical Activity Questionnaire at baseline and at 4, 6, and 12 months following randomization. The Physical Activity Guidelines for Americans recommend that older adults achieve at least 150 min/wk of MVPA, and the number of participants meeting this recommendation was also assessed. Analyses followed the intention-to-treat principle.

Results

Among the 318 participants enrolled, 107 were randomized to standard tai ji quan, 105 to cognitively enhanced tai ji quan, and 106 to stretching. Their mean (SD) age was 76 (5) years, 212 (66.7%) were women, and 247 (77.7%) had a CDR global score of 0.5. A total of 304 participants (95.6%) completed the trial, and 299 (94.0%) had complete data on the primary outcome at the 12-month follow-up. At 12 months, both tai ji quan groups had increased MVPA levels compared with the stretching control group, with mean differences from baseline of 66 min/wk (95% CI, 25-108 min/wk; P = .002) with standard tai ji quan and 65 min/wk (95% CI, 24-108 min/wk; P = .002) with cognitively enhanced tai ji quan. Odds ratios for meeting the recommended amount of MVPA (≥150 min/wk) were 3.11 (95% CI, 1.75-5.53; P < .001) for the standard tai ji quan group and 3.67 (95% CI, 2.02-6.65; P < .001) for the cognitively enhanced tai ji quan group compared with the stretching group.

Conclusion and Relevance

In this secondary analysis of a randomized clinical trial involving older adults with MCI or self-reported memory concerns, home-based tai ji quan training (delivered via videoconferencing) increased MVPA 6 months following cessation of the intervention compared with stretching. These findings suggest that tai ji quan may be promoted as an avenue to achieve physical activity guidelines for older adults with MCI or subjective memory concerns.

Trial Registration

ClinicalTrials.gov Identifier: NCT04070703.

Diet quality in U.S. adults eating in senior and community centers: NHANES 2009-2018

BACKGROUND

With advancing age, the worsening of cognitive and physical disabilities may lead older adults to seek help in their daily living activities. Community/senior centers support older adults during aging, offering a wide variety of services, including meal programs. Using data from the National Health and Nutrition Examination Surveys (2009-2018), we aimed to examine whether community/senior center meal programs were associated with an improved nutritional exposure in U.S. adults aged 60 years or older.

METHODS

Nutrient exposure and nutrient-based dietary indexes, including the Diet Quality Score (DQS) and the Food Nutrient Index (FNI) were compared between those eating meals at community/senior centers and the general population. Nutrient intakes were contrasted to the daily nutritional goals from the Dietary Guidelines for Americans.

RESULTS

This study included 6261 participants aged ≥60 years, thereof n = 421 reporting community/senior center meals. The latter were predominantly female and almost 45% were widowed or divorced. Eating at community/senior centers did not result in a better diet quality in crude analyses. After adjustment for potential sociodemographic confounders as well as alcohol, smoking and energy intake, however, sex-specific differences emerged, revealing significantly higher FNI scores in males eating at community/senior centers (adjusted FNI predictions: 61.71 [CI:58.55-64.88] vs 57.64 [CI:56.86-58.41] points).

CONCLUSIONS

Eating at community/senior centers was associated with an improved nutrient exposure in older men, whereas no better diet quality was found in women. Community/senior centers may play a pivotal role when it comes to the diet quality of a particularly vulnerable group of the population.

A Three-Year Longitudinal Follow-Up Study: Does Mild Cognitive Impairment Accelerate Age-Related Changes in Physical Function and Body Composition?

Age-related declines in physical function, body composition, and cognitive function are interrelated. This prospective study aimed to examine the impact of mild cognitive impairment (MCI) on age-related changes in physical function and body composition among community-dwelling older adults. We analyzed data from 180 older adults (aged ≥70 years) who completed a longitudinal assessment of physical function and body composition in the community. Physical function included grip strength and time taken to walk 10 m at normal and maximum pace. Body composition assessments calculated the body mass index (BMI) and appendicular skeletal muscle index (ASMI) using bioelectrical impedance analysis at baseline and three-year follow-up assessments. MCI was defined as values below the age- and education-adjusted reference threshold in several tests, including memory, attention, executive function, and processing speed. Participants were divided into the MCI and non-MCI groups based on their MCI status at baseline. A two-way repeated-measures analysis of covariance (ANCOVA), adjusting for age and gender, was used to analyze the group (MCI and non-MCI) by time (baseline and three-year follow-up) interaction. Thirty participants (16.7%) had MCI at baseline. The repeated-measures ANCOVA indicated that no variables had significant group by time interactions. Stratified analyses by gender (repeated-measures ANCOVA, adjusted for age) confirmed a significant group by time interaction on BMI (F=5.63, p=0.02) and ASMI (F=6.33, p=0.01) among women. Older women with MCI may experience a greater impact of the acceleration of shrinking and age-related decline in muscle mass. The close associations of MCI with shrinking and muscle mass loss have important implications for targeting interventions among MCI women.

Prevalence of cognitive impairment in home health physical therapy

BACKGROUND

The prevalence of cognitive impairment in home health physical therapy (HHPT) is unknown. We sought to identify the prevalence of cognitive impairment, including cognitive impairment no dementia (CIND) and dementia, among older adults who used HHPT, and if cognitive impairment prevalence was higher among those with HHPT-relevant characteristics.

METHODS

For our cross-sectional analysis, we identified 963 fee-for-service Medicare beneficiaries with HHPT claims (>85 years old: 28.8%, women: 63.7%, non-Hispanic White: 82.1%) in the 2014 and 2016 waves of the Health and Retirement Study (HRS) and used a validated algorithm to categorize cognitive status as normal, CIND, or dementia. We estimated the population prevalence and calculated age, gender, race/ethnicity adjusted odds ratio (aOR) of CIND and dementia for characteristics relevant to HHPT service delivery including depression, walking difficulty, fall history, incontinence, moderate-vigorous physical activity (MVPA) ≤1x/week, and community-initiated HHPT using multinomial logistic regression.

RESULTS

The population prevalence of cognitive impairment was 46.4% (CIND: 27.3%, dementia: 19.1%). The prevalence of cognitive impairment was greater among those with depression (46.7% vs. 39.5%), difficulty walking across the room (58.9% vs. 41.8%), fall history (49.1% vs. 42.9%), MVPA ≤1x/week (50.0% vs. 38.0%), and community-initiated HHPT (55.2% vs. 40.2%). Compared to normal cognitive status, the odds of cognitive impairment were greater for those with MVPA≤1x/week (CIND: aOR = 1.57 [95% CI: 1.05-2.33], dementia: aOR = 2.55 [95% CI: 1.54-4.22]), depression (dementia: aOR = 1.99 [95% CI: 1.19-3.30]), difficulty walking across the room (dementia: aOR = 2.54 [95% CI: 1.40-4.60]), fall history (dementia: aOR = 1.85 [95% CI: 1.20-2.83]), and community-initiated HHPT (dementia: aOR = 1.72 (95% CI: 1.13-2.61]).

CONCLUSION

There is a high prevalence of CIND and dementia in HHPT, and no characteristics had a low prevalence of cognitive impairment. Physical therapists should be ready to identify cognitive impairment and adapt home health service delivery for this vulnerable population of older adults.

Physical activity trajectories and their associations with health outcomes in older adults with mild cognitive impairment or dementia: a national cohort study

BACKGROUND

Physical activity (PA) is a promising non-pharmacological intervention for this population. However, few studies have investigated their PA trajectories, influencing factors, and their relationship with health outcomes.

AIMS

The aim was to identify latent trajectories in PA and their determinants in older adults with mild cognitive impairment (MCI) or dementia, as well as to assess the associations between PA trajectories and health outcomes based on the capability-opportunity-motivation behavior model.

METHODS

This is a cohort study. Data were obtained from a national cohort study and included participants aged 60 years and older with MCI or dementia. PA trajectories were identified using group-based trajectory modelling. Multinomial logistic regression was conducted to identify the predictors of PA trajectories. Linear regression models were used to assess the associations between PA trajectories and health outcomes. This study adhered to the STROBE checklist for reporting.

RESULTS

Three distinct PA trajectories were identified: high-decreasing and rebound class (9.34%), moderate-decreasing class (10.31%), and low-increasing class (80.34%). The logistic regression showed that age, sex, education level, body mass index, residence, depressive symptoms, mobility activities of daily life score, frequency of social activities score were PA predictors. Adjusting for sociodemographic variables, only the high-decreasing and rebound class remained significantly associated with worse self-rated health.

DISCUSSION

This study revealed three PA trajectories among older adults with MCI/dementia. Besides sociodemographic variables, addressing physical function and mental health, providing social support are vital for promoting PA in this population.

Determinants of physical activity behavior among older adults with subjective cognitive decline based on the capability, opportunity, motivation, and behavior model: mediating and moderating effects

Background

PA is vital for secondary prevention in older adults with subjective cognitive decline (SCD), but their physical activity (PA) levels are low, and the underlying interaction pathways among associated factors are poorly understood. This study aims to identify mediating and moderating effects of determinants on PA behavior in older adults with SCD using the capability, opportunity, motivation, and behavior model.

Methods

Following the STROBE checklist, we conducted a cross-sectional survey among 289 older adults with SCD. Path regression, mediation effects, and moderation effects were used to explore the associated factors of PA behavior and the associations among these variables.

Results

The prevalence of physical inactivity among older adults with SCD was high (40.3%). The path model fit indices were χ2/df = 1.145, GFI = 0.968, CFI = 0.988, and RMSEA = 0.022. Path regression revealed that frailty, physical and social support, PA motivation, and fall history had significant direct association with PA behavior. PA motivation not only partially mediates between frailty and PA behavior but also partially mediates between physical and social support and PA behavior. Additionally, fall history moderated the relationship between frailty and PA behavior.

Conclusion

PA behavior in older adults with SCD requires improvement. Healthcare professionals should devise more effective interventions to boost PA behavior by enhancing motivation. Screening for frailty and addressing fall history, while providing sufficient physical and social support, is crucial.

Physical activity together for couples living with mild cognitive impairment (PAT-MCI): A feasibility study

Mild cognitive impairment is a prodromal phase of Alzheimer's disease and related dementias. Cognitive and/or neuropsychiatric symptoms that could worsen over time cause challenges for patients and romantic partners, who often assume the role of informal caregivers. Although physical activity is beneficial, older adults with mild cognitive impairment and their romantic care partners are generally physically inactive. Our 16-week study was performed to see whether physical activity together is feasible to increase physical activity among four dyads (individuals with mild cognitive impairment and their spouses). Our dyadic intervention was feasible given more than 70 % of participants self-reported adherence to physical activity based on the guidelines for adults in the United States. In exit interviews, togetherness was highlighted as one of the biggest strengths of this study. Future studies with more representative samples are needed, as well as adopting a more tailored approach that accounts for individuals' levels of physical fitness.

The Prevalence of Cognitive Impairment Among Medicare Beneficiaries Who Use Outpatient Physical Therapy

OBJECTIVE

The objective of this study was to estimate the prevalence of cognitive impairment (including cognitive impairment no dementia [CIND] and dementia) among Medicare fee-for-service beneficiaries who used outpatient physical therapy and to estimate the prevalence of cognitive impairment by measures that are relevant to rehabilitation practice.

METHODS

This cross-sectional analysis included 730 Medicare fee-for-service beneficiaries in the 2016 wave of the Health and Retirement Study with claims for outpatient physical therapy. Cognitive status, our primary variable of interest, was categorized as normal, CIND, or dementia using a validated approach, and population prevalence of cognitive impairment (CIND and dementia) was estimated by sociodemographic variables and Charlson comorbidity index score. Age-, gender- (man/woman), race-/ethnicity-adjusted population prevalence of CIND and dementia were also calculated for walking difficulty severity, presence of significant pain, self-reported fall history, moderate-vigorous physical activity (MVPA) ≤1×/week, and sleep disturbance frequency using multinomial logistic regression.

RESULTS

Among Medicare beneficiaries with outpatient physical therapist claims, the prevalence of any cognitive impairment was 20.3% (CIND:15.2%, dementia:5.1%). Cognitive impairment was more prevalent among those who were older, Black, had lower education attainment, or higher Charlson comorbidity index scores. The adjusted population prevalence of cognitive impairment among those who reported difficulty walking across the room was 29.8%, difficulty walking 1 block was 25.9%, difficulty walking several blocks was 20.8%, and no difficulty walking was 16.3%. Additionally, prevalence of cognitive impairment among those with MVPA ≤1×/week was 27.1% and MVPA >1×/week was 14.1%. Cognitive impairment prevalence did not vary by significant pain, self-reported fall history, or sleep disturbance.

CONCLUSION

One in 5 older adults who use outpatient physical therapist services have cognitive impairment. Furthermore, cognitive impairment is more common in older physical therapist patients who report worse physical function and less physical activity.

IMPACT

Physical therapists should consider cognitive screening for vulnerable older adults to inform tailoring of clinical practice toward a patient's ability to remember and process rehabilitation recommendations.

Smart health technologies used to support physical activity and nutritional intake in fall prevention among older adults: A scoping review

BACKGROUND

Falls are the second leading cause of accidental injury deaths globally. Older age is a key risk factors for falls. Besides older age, physical inactivity and malnutrition are identified risk factors for falls. Smart health technologies might offer a sustainable solution to prevent falls by supporting physical activity and nutritional status.

OBJECTIVE

The aim is to identify, describe, and synthesize knowledge, and identify knowledge gaps on the use of existing smart health technologies to support health behaviour in relation to physical activity and nutrition, among older (65+) in risk of falling.

METHODS

A scoping review was conducted following the PRISMA-ScR. Searches were carried out in PubMed, Scopus, and Embase using search strings on the themes; smart health technology, physical activity, nutrition, behaviour, falls and older. Identified literature was screened. Data from the included studies was extracted and synthesized.

RESULTS

2948 studies were obtained through searches. 18 studies were included. Various smart health technologies are used for fall prevention to support physical activity among older, including software and applications for smart phones, TV, and tablet. Three gaps were identified: use of smart health technologies to support nutrition in fall prevention. Inclusion of relevant stakeholders and fall prevention in low-and middle-income countries.

CONCLUSIONS

Smart health technology can offer sustainable and cost-effective fall prevention in the future. More knowledge is needed on the use of smart health technologies to support nutritional status for fall prevention, and studies involving older with physical and cognitive conditions, and studies on measures for fall prevention in low- and middle-income countries is needed.