Physical Activity and its Influencing Factors in Community-Dwelling Older Adults With Dementia: A Path Analysis

Li, Bei; Huang, Xiuxiu; Meng, Chenchen; Wan, Qiaoqin; Sun, Ying

doi:10.1177/10547738211033928

Cited by 4 publications

(1 citation statement)

References 41 publications

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“…Nevertheless, research indicates that older adults with dementia/MCI are more prone to physical inactive [ 10 ]. Although numerous studies have explored factors influencing PA in older adults with dementia/MCI [ 11 , 12 ], a recent umbrella review [ 13 ] indicated a scarcity of original research that empirically investigates such factors based on theoretical frameworks, particularly with limited data from developing countries. Moreover, evidence on longitudinal trajectories of PA in older adults with dementia/MCI is relatively limited.…”

Section: Introductionmentioning

confidence: 99%

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

Chen,

Li,

et al. 2024

Aging Clin Exp Res

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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.

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Section: Introductionmentioning

confidence: 99%

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

Chen,

Li,

et al. 2024

Aging Clin Exp Res

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Barriers and motivators to promotion of physical activity participation for older adults with mild cognitive impairment or dementia: An umbrella review

Hou

Yan

et al. 2023

International Journal of Nursing Studies

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Mediation effect of neuropsychological factors on the relationship between social networks and mild cognitive impairment in older adults

Wan,

Tu,

Gao

et al. 2024

Journal of Alzheimer’s Disease

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Background Although links between social networks and mild cognitive impairment (MCI) have been suggested. The pathway between social networks and MCI from the Person-Environment-Occupation (PEO) model perspective among older adults remains inconclusive. Objective To examine the relationship between social networks and MCI, and further identify whether neuropsychological factors mediate the relationship. Methods 1036 participants aged 55 to 75 years were recruited from two districts of Fuzhou, China, from December 2020 to December 2022. Data were obtained via a face-to-face neuropsychological scale assessment. Social networks and cognitive function were assessed by the Lubben Social Network Scale and the Montreal Cognitive Assessment, respectively. The mediation model and structural equation model (SEM) pathway analysis were used to examine the direct and indirect effects of social networks on MCI via neuropsychological factors. Results Data from 580 participants were analyzed (year: 65.16 ± 5.38). Regression analysis indicated that higher levels of social networks and psychological resilience were positively correlated with improved cognitive function, even after adjusting for demographic data. Increased depressive symptoms and poor sleep quality were linked to cognitive decline. Support from family members had a greater impact than support from friends in reducing the risk of developing MCI. The SEM model supported the hypothesis that significant indirect effects of social networks on MCI via psychological resilience, depressive tendencies, and sleep quality. Conclusions The effects of social networks on MCI are mediated by psychological resilience, depressive tendencies, and sleep quality.

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Physical Activity and its Influencing Factors in Community-Dwelling Older Adults With Dementia: A Path Analysis

Cited by 4 publications

References 41 publications

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

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

Barriers and motivators to promotion of physical activity participation for older adults with mild cognitive impairment or dementia: An umbrella review

Mediation effect of neuropsychological factors on the relationship between social networks and mild cognitive impairment in older adults

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