Brain Structure and Function Predict Adherence to an Exercise Intervention in Older Adults

Psychosocial Correlates of Adherence to Mind-Body Interventions

Mind-body interventions involve practices that intentionally combine mental and physical fitness, showing promise for improving psychological and cognitive health in older adults. Limited research exists on adherence to these interventions and the demographic and psychosocial factors that may predict variability in compliance. In the current study, we identified key correlates-demographic, psychosocial, and cognitive-of adherence to two mind-body interventions. Baseline and intervention data were analyzed together from a randomized controlled trial of older adults who participated in two four-week mind-body interventions and completed practice logs (n = 60). Adherence was defined as the average weekly self-reported minutes of homework practice during the intervention. Baseline correlates included education, sex assigned at birth, working memory score, emotion dysregulation, positive and negative affect, trait mindfulness, and depression. Partial least squares regression was used to identify latent components. A significant one-component solution from the final model explained 23.08% of the variance in practice minutes. Greater adherence was associated with mild depressive symptoms, difficulties with emotion regulation, and lower working memory scores. These findings suggest that participants with mild emotional and cognitive difficulties may be more likely to adhere to mind-body interventions. These results emphasize the target population likely to engage in mind-body interventions and may be valuable for designing tailored interventions and developing strategies to maximize adherence. This study was registered on ClinicalTrials.gov (#NCT03432754) on February 14, 2018.

Efficacy of a Digital Postoperative Rehabilitation Intervention in Patients With Primary Liver Cancer: Randomized Controlled Trial

Background

Rehabilitation is considered a fundamental component of cancer treatment, especially for patients undergoing cancer surgery. In contrast to conventional rehabilitation education, digital rehabilitation has the potential to improve patients' access to postoperative rehabilitation programs. While digital health has rapidly emerged to aid patients with various diseases, their clinical efficacy in the recovery of patients with primary liver cancer (PLC) undergoing hepatectomy remains inadequately investigated.

Objective

This study aims to evaluate whether a digital postoperative rehabilitation intervention is efficient in improving physical fitness, enhancing exercise adherence, and alleviating fatigue among patients with PLC after hepatectomy.

Methods

A randomized controlled trial was undertaken across 2 university-affiliated hospitals in Eastern China. A total of 100 participants were enrolled in this study and were allocated randomly to either the digital health (intervention group, n=50) or the rehabilitation manual-based group (control group, n=50) at a 1:1 ratio. Patients were unblinded and prospectively followed for the intervention of 3 weeks. Outcome measures included physical fitness, exercise adherence, and status of fatigue.

Results

Overall, 91 out of 100 patients completed the research and were evaluated after 3 weeks of intervention. The digital health group showed better cardiopulmonary endurance than the control group. The mean difference in the change of 6-minute walk test distance from baseline between the groups was 70.21 (95% CI 0.730-82.869) m (P=.05). No statistically significant effects were found for grip strength, 5-repetition-sit-to-stand test time, and fatigue. The exercise adherence in the digital health group was higher than that in the control group (χ22=15.871, P<.001).

Conclusions

The findings suggested that the implementation of digital health had a positive impact on recovery in exercise capacity after hepatectomy. In addition, rehabilitation exercise mode based on digital health has the potential to improve the exercise adherence of patients with PLC compared to conventional manual-based rehabilitation guidance.

Directionality between cognitive function and daily physical activity patterns

INTRODUCTION

Physical activity is a modifiable risk factor for dementia, but cognitive function is also important for physical activity engagement. This study evaluated the directionality of associations between daily physical activity and cognitive function in a sample of cognitively and physically intact older adults.

METHODS

Cognitive factor scores for domains including global cognition, memory, language, executive function/attention, and visuospatial processing, and physical activity patterns from wrist accelerometry were measured at two visits (mean: 1.8 years) among 237 cognitively intact older adults in the Baltimore Longitudinal Study of Aging (BLSA) (mean age: 76.5 years). Bivariate latent change score models estimated directionality of associations between changes in cognitive factor scores and physical activity patterns. Models were adjusted for age, sex, race, education, comorbidities, and body mass index.

RESULTS

Higher total amount of activity, longer activity bouts, less sedentary time, and less activity fragmentation at baseline were associated with less annual cognitive decline across multiple cognitive domains (X 2 > 4.11, 1 df for all). In contrast, baseline cognitive factor scores were not associated with changes in any activity pattern (X 2 < 3.20, 1 df for all).

DISCUSSION

Increasing movement and/or decreasing sedentary behavior is associated with less prospective cognitive decline. Targeting reductions in sedentary time and lengthening activity bouts may slow cognitive decline among older adults at risk for dementia.

Highlights

Greater activity engagement is related to less annual cognitive decline.Baseline cognition is not associated with short-term changes in activity patterns.Promoting daily movement and lowering sedentary time may have cognitive benefits.

Neuroimaging for precision medicine in psychiatry

Although the lifetime burden due to mental disorders is increasing, we lack tools for more precise diagnosing and treating prevalent and disabling disorders such as major depressive disorder. We lack strategies for selecting among available treatments or expediting access to new treatment options. This critical review concentrates on functional neuroimaging as a modality of measurement for precision psychiatry, focusing on major depressive and anxiety disorders. We begin by outlining evidence for the use of functional neuroimaging to stratify the heterogeneity of these disorders, based on underlying circuit dysfunction. We then review the current landscape of how functional neuroimaging-derived circuit predictors can predict treatment outcomes and clinical trajectories in depression and anxiety. Future directions for advancing clinically appliable neuroimaging measures are considered. We conclude by considering the opportunities and challenges of translating neuroimaging measures into practice. As an illustration, we highlight one approach for quantifying brain circuit function at an individual level, which could serve as a model for clinical translation.

Aerobic exercise and cognitive function in chronic severe traumatic brain injury survivors: a within-subject A-B-A intervention study

BACKGROUND

Following acute and sub-acute rehabilitation from severe traumatic brain injury (TBI), minimal to no efficacious interventions to treat ongoing cognitive deficits are available. Aerobic exercise is a non-invasive behavioral intervention with promise to treat cognitive deficits in TBI populations.

METHODS

Six individuals, aged 24-62 years, with chronic (> 8 months since injury) severe (Glasgow Coma Scale of 3-8) TBI were recruited from two outpatient rehabilitation centers. In an A-B-A study design, 20-weeks of supervised aerobic exercise interventions were delivered three times per week (phase B) in addition to participants typical rehabilitation schedules (phases A). The effect of phase B was tested on a trail making test part B (primary outcome measure of executive function) as well as objective daily physical activity (PA), using both group level (linear mixed effect models) and single subject statistics.

RESULTS

Five of six participants increased trail-making test part B by more than 10% pre-to-post phase B, with three of six making a clinically meaningful improvement (+ 1SD in normative scores). A significant main effect of time was seen with significant improvement in trail-making test part B pre-to-post exercise (phase B). No significant effects in other planned comparisons were found. Statistically significant increases in daily moderate-to-vigorous PA were also seen during phase B compared to phase A with three of six individuals making a significant behaviour change.

CONCLUSIONS

The addition of supervised aerobic exercise to typical rehabilitation strategies in chronic survivors of severe TBI can improve executive set shifting abilities and increase voluntary daily PA levels.

TRIAL REGISTRATION

Retrospective trial registration on July 11 2024 with trial number: ISRCTN17487462.

Physical activity and frontoparietal network connectivity in traumatic brain injury

BACKGROUND

Prolonged changes to functional network connectivity as a result of a traumatic brain injury (TBI) may relate to long-term cognitive complaints reported by TBI survivors. No interventions have proven to be effective at treating long-term cognitive complaints after TBI but physical activity has been shown to promote cognitive function and modulate functional network connectivity in non-injured adults. Therefore, the objective of this study was to test if physical activity engagement was associated with functional connectivity of the cognitively relevant frontoparietal control network (FPCN) in adults with a TBI history.

METHODS

In a case-control study design, resting state function magnetic resonance imaging and physical activity data from a subset of participants (18-81 years old) from the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study was analyzed. Fifty-seven participants reported a prior head injury with loss of consciousness and 57 age and sex matched controls were selected. Seed-based functional connectivity analyses were performed using seeds in the dorsolateral prefrontal cortex and the inferior parietal lobule, to test for differences in functional connectivity between groups, associations between physical activity and functional connectivity within TBI as well as differential associations between physical activity and functional connectivity between TBI and controls.

RESULTS

Seed-based connectivity analyses from the dorsolateral prefrontal cortex showed that those with a history of TBI had decreased positive connectivity between dorsolateral prefrontal cortex and intracalcarine cortex, lingual gyrus, and cerebellum, and increased positive connectivity between dorsolateral prefrontal cortex and cingulate gyrus and frontal pole in the TBI group. Results showed that higher physical activity was positively associated with increased connectivity between the dorsolateral prefrontal cortex and inferior temporal gyrus. Differential associations were observed between groups whereby the strength of the physical activity-functional connectivity association was different between the inferior parietal lobule and inferior temporal gyrus in TBI compared to controls.

DISCUSSION

Individuals with a history of TBI show functional connectivity alterations of the FPCN. Moreover, engagement in physical activity is associated with functional network connectivity of the FPCN in those with a TBI. These findings are consistent with the evidence that physical activity affects FPCN connectivity in non-injured adults; however, this effect presents differently in those with a history of TBI.

Sedentary behavior and lifespan brain health

Higher levels of physical activity are known to benefit aspects of brain health across the lifespan. However, the role of sedentary behavior (SB) is less well understood. In this review we summarize and discuss evidence on the role of SB on brain health (including cognitive performance, structural or functional brain measures, and dementia risk) for different age groups, critically compare assessment approaches to capture SB, and offer insights into emerging opportunities to assess SB via digital technologies. Across the lifespan, specific characteristics of SB (particularly whether they are cognitively active or cognitively passive) potentially act as moderators influencing the associations between SB and specific brain health outcomes. We outline challenges and opportunities for future research aiming to provide more robust empirical evidence on these observations.

Midlife physical activity engagement is associated with later-life brain health

The relationship between midlife physical activity (PA), and cognition and brain health in later life is poorly understood with conflicting results from previous research. Investigating the contribution of midlife PA to later-life cognition and brain health in high-risk populations will propel the development of health guidance for those most in need. The current study examined the association between midlife PA engagement and later-life cognition, grey matter characteristics and resting-state functional connectivity in older individuals at high-risk for Alzheimer's disease. The association between midlife PA and later-life cognitive function was not significant but was moderated by later-life PA. Meanwhile, greater midlife moderate-to-vigorous PA was associated with greater grey matter surface area in the left middle frontal gyrus. Moreover, greater midlife total PA was associated with diminished functional connectivity between bilateral middle frontal gyri and middle cingulum, supplementary motor areas, and greater functional connectivity between bilateral hippocampi and right cerebellum, Crus II. These results indicate the potentially independent contribution of midlife PA to later-life brain health.

Temporal Interactions between Maintenance of Cerebral Cortex Thickness and Physical Activity from an Individual Person Micro-Longitudinal Perspective and Implications for Precision Medicine

Maintenance of brain structure is essential for neurocognitive health. Precision medicine has interests in understanding how maintenance of an individual person's brain, including cerebral cortical structure, interacts with lifestyle factors like physical activity. Cortical structure, including cortical thickness, has recognized relationships with physical activity, but concepts of these relationships come from group, not individual, focused findings. Whether or how group-focused concepts apply to an individual person is fundamental to precision medicine interests but remains unclear. This issue was studied in a healthy man using concurrent micro-longitudinal tracking of magnetic resonance imaging-defined cortical thickness and accelerometer-defined steps/day over six months. These data permitted detailed examination of temporal relationships between thickness maintenance and physical activity at an individual level. Regression analyses revealed graded significant and trend-level temporal interactions between preceding activity vs. subsequent thickness maintenance and between preceding thickness maintenance vs. subsequent activity. Interactions were bidirectional, delayed/prolonged over days/weeks, positive, bilateral, directionally asymmetric, and limited in strength. These novel individual-focused findings in some ways are predicted, but in other ways remain unaddressed or undetected, by group-focused work. We suggest that individual-focused concepts of temporal interactions between maintenance of cortical structure and activity can provide needed new insight for personalized tailoring of physical activity, cortical, and neurocognitive health.

Adherence to cognitive and physical exercise engagement: a challenge to successful dementia risk reduction and prevention efforts

With human life expectancy and proportion of older adults increasing, global use of evidence-supported preventative methods to minimize risk of brain-related disabilities such as Alzheimer's disease and other dementias-as well as interventions to slow rate of disease progression-is important. Sustained engagement in cognitive and physical exercise programs may prevent or delay dementia onset as well as maximize health and function of those with dementia. Despite awareness of the importance of cognitive and physical exercise to brain health, exercise program adherence by older adults is extremely challenging. In this Perspective article, we summarize what is known about contributors to exercise program adherence and strategies to promote it. We discuss our viewpoint on knowledge gaps regarding exercise adherence and research that needs to be conducted. We conclude by proposing a multi-dimensional exercise adherence assessment framework that includes portable neurophysiologic technologies to inform initial design and updating of individualized exercise programs that optimize sustained exercise program engagement and, ultimately, maximize brain health in older adults with and without mild cognitive impairment and dementia.

Development and validation of a nomogram model for medication non-adherence in patients with chronic kidney disease

OBJECTIVE

The high prevalence of medication non-adherence in patients with chronic kidney disease places a tremendous burden on healthcare resources. The study was designed to develop and validate a nomogram model of medication non-adherence in patients with chronic kidney disease in China.

METHODS

A multicenter cross-sectional study was conducted. 1206 chronic kidney disease patients were consecutively enrolled from Be Resilient to Chronic Kidney Disease (registration number: ChiCTR2200062288) between September 2021 and October 2022 in four tertiary hospitals in China. The Chinese version of four-item Morisky Medication Adherence Scale was used to assess the medication adherence of the patients and associated factors consisted of socio-demographic information, self-designed medication knowledge questionnaire, the 10-item Connor-Davidson Resilience Scale, the Beliefs about Medicine questionnaire, the Acceptance Illness Scale, and the Family Adaptation Partnership Growth and Resolve Index. Least Absolute Shrinkage and Selection Operator regression was performed to select significant factors. Concordance index, Hosmer-Lemeshow test and decision curve analysis were estimated.

RESULTS

The prevalence of medication non-adherence was 63.8%. Area under the curves ranged from 0.72 to 0.96 in internal and external validation sets. The predicted probabilities of the model were consistent with those of the actual observations by Hosmer-Lemeshow test (all P > .05). The final model included educational level, occupational status, duration of chronic kidney disease, medication beliefs (perceptions of the need to take medications and concerns about adverse effects), and illness acceptance (adaptation and acceptance of the disease).

CONCLUSIONS

There is a high prevalence of medication non-adherence among Chinese patients with chronic kidney disease. A nomogram model based on five factors has been successfully developed and validated and could be incorporated into long-term medication management.

Differences in Selective Attention and Inhibitory Control in Patients with Major Depressive Disorder and Healthy Controls Who Do Not Engage in Sufficient Physical Activity

BACKGROUND

Patients with major depressive disorder (MDD) are characterized by neurocognitive impairments and show deficits in various cognitive performance indicators, including executive function. We examined whether sustained attention and inhibitory control differ between patients with MDD and healthy controls, and whether differences exist between patients with mild, moderate, and severe depression.

METHODS

Clinical in-patients (N = 212) aged 18-65 years with a current diagnosis of MDD and 128 healthy controls were recruited. Depression severity was assessed using the Beck Depression Inventory, and sustained attention and inhibitory control were assessed using the oddball and flanker tasks. The use of these tasks promises insights into executive function in depressive patients that are not biased by verbal skills. Group differences were tested via analyses of covariance.

RESULTS

Patients with MDD showed slower reaction times in both the oddball and flanker task, independent of the executive demands of the trial types. Younger participants achieved shorter reaction times in both inhibitory control tasks. After correcting for age, education, smoking, BMI, and nationality, only differences in reaction times in the oddball task were statistically significant. In contrast, reaction times were not sensitive to the symptom severity of depression.

CONCLUSION

Our results corroborate deficits in basic information processing and specific impairments in higher-order cognitive processes in MDD patients. As difficulties in executive function underlie problems in planning, initiating, and completing goal-directed activities, they may jeopardize in-patient treatment and contribute to the recurrent nature of depression.