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 dete...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, Yiping [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2024 |
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| Übergeordnetes Werk: |
Enthalten in: Aging clinical and experimental research - Berlin : Heidelberg : Springer, 2002, 36(2024), 1 vom: 31. Jan. |
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| Übergeordnetes Werk: |
volume:36 ; year:2024 ; number:1 ; day:31 ; month:01 |
| Links: |
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| DOI / URN: |
10.1007/s40520-023-02667-6 |
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SPR054593093 |
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| 520 | |a 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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10.1007/s40520-023-02667-6 doi (DE-627)SPR054593093 (SPR)s40520-023-02667-6-e DE-627 ger DE-627 rakwb eng Chen, Yiping verfasserin aut Physical activity trajectories and their associations with health outcomes in older adults with mild cognitive impairment or dementia: a national cohort study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 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. Mild cognitive decline (dpeaa)DE-He213 Dementia (dpeaa)DE-He213 Mild neurocognitive disorder (dpeaa)DE-He213 Major neurocognitive disorder (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 COM-B model (dpeaa)DE-He213 Trajectory (dpeaa)DE-He213 Li, Yao aut Li, Wei aut Tian, Yuling aut Yang, Hui (orcid)0000-0002-8492-4459 aut Enthalten in Aging clinical and experimental research Berlin : Heidelberg : Springer, 2002 36(2024), 1 vom: 31. Jan. (DE-627)369554930 (DE-600)2119282-0 1720-8319 nnns volume:36 year:2024 number:1 day:31 month:01 https://dx.doi.org/10.1007/s40520-023-02667-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2472 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2024 1 31 01 |
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10.1007/s40520-023-02667-6 doi (DE-627)SPR054593093 (SPR)s40520-023-02667-6-e DE-627 ger DE-627 rakwb eng Chen, Yiping verfasserin aut Physical activity trajectories and their associations with health outcomes in older adults with mild cognitive impairment or dementia: a national cohort study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 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. Mild cognitive decline (dpeaa)DE-He213 Dementia (dpeaa)DE-He213 Mild neurocognitive disorder (dpeaa)DE-He213 Major neurocognitive disorder (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 COM-B model (dpeaa)DE-He213 Trajectory (dpeaa)DE-He213 Li, Yao aut Li, Wei aut Tian, Yuling aut Yang, Hui (orcid)0000-0002-8492-4459 aut Enthalten in Aging clinical and experimental research Berlin : Heidelberg : Springer, 2002 36(2024), 1 vom: 31. Jan. (DE-627)369554930 (DE-600)2119282-0 1720-8319 nnns volume:36 year:2024 number:1 day:31 month:01 https://dx.doi.org/10.1007/s40520-023-02667-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2472 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2024 1 31 01 |
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10.1007/s40520-023-02667-6 doi (DE-627)SPR054593093 (SPR)s40520-023-02667-6-e DE-627 ger DE-627 rakwb eng Chen, Yiping verfasserin aut Physical activity trajectories and their associations with health outcomes in older adults with mild cognitive impairment or dementia: a national cohort study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 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. Mild cognitive decline (dpeaa)DE-He213 Dementia (dpeaa)DE-He213 Mild neurocognitive disorder (dpeaa)DE-He213 Major neurocognitive disorder (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 COM-B model (dpeaa)DE-He213 Trajectory (dpeaa)DE-He213 Li, Yao aut Li, Wei aut Tian, Yuling aut Yang, Hui (orcid)0000-0002-8492-4459 aut Enthalten in Aging clinical and experimental research Berlin : Heidelberg : Springer, 2002 36(2024), 1 vom: 31. Jan. (DE-627)369554930 (DE-600)2119282-0 1720-8319 nnns volume:36 year:2024 number:1 day:31 month:01 https://dx.doi.org/10.1007/s40520-023-02667-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2472 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2024 1 31 01 |
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10.1007/s40520-023-02667-6 doi (DE-627)SPR054593093 (SPR)s40520-023-02667-6-e DE-627 ger DE-627 rakwb eng Chen, Yiping verfasserin aut Physical activity trajectories and their associations with health outcomes in older adults with mild cognitive impairment or dementia: a national cohort study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 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. Mild cognitive decline (dpeaa)DE-He213 Dementia (dpeaa)DE-He213 Mild neurocognitive disorder (dpeaa)DE-He213 Major neurocognitive disorder (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 COM-B model (dpeaa)DE-He213 Trajectory (dpeaa)DE-He213 Li, Yao aut Li, Wei aut Tian, Yuling aut Yang, Hui (orcid)0000-0002-8492-4459 aut Enthalten in Aging clinical and experimental research Berlin : Heidelberg : Springer, 2002 36(2024), 1 vom: 31. Jan. (DE-627)369554930 (DE-600)2119282-0 1720-8319 nnns volume:36 year:2024 number:1 day:31 month:01 https://dx.doi.org/10.1007/s40520-023-02667-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2472 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2024 1 31 01 |
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10.1007/s40520-023-02667-6 doi (DE-627)SPR054593093 (SPR)s40520-023-02667-6-e DE-627 ger DE-627 rakwb eng Chen, Yiping verfasserin aut Physical activity trajectories and their associations with health outcomes in older adults with mild cognitive impairment or dementia: a national cohort study 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 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. Mild cognitive decline (dpeaa)DE-He213 Dementia (dpeaa)DE-He213 Mild neurocognitive disorder (dpeaa)DE-He213 Major neurocognitive disorder (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 COM-B model (dpeaa)DE-He213 Trajectory (dpeaa)DE-He213 Li, Yao aut Li, Wei aut Tian, Yuling aut Yang, Hui (orcid)0000-0002-8492-4459 aut Enthalten in Aging clinical and experimental research Berlin : Heidelberg : Springer, 2002 36(2024), 1 vom: 31. Jan. (DE-627)369554930 (DE-600)2119282-0 1720-8319 nnns volume:36 year:2024 number:1 day:31 month:01 https://dx.doi.org/10.1007/s40520-023-02667-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2472 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 36 2024 1 31 01 |
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Enthalten in Aging clinical and experimental research 36(2024), 1 vom: 31. Jan. volume:36 year:2024 number:1 day:31 month:01 |
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Enthalten in Aging clinical and experimental research 36(2024), 1 vom: 31. Jan. volume:36 year:2024 number:1 day:31 month:01 |
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Physical activity trajectories and their associations with health outcomes in older adults with mild cognitive impairment or dementia: a national cohort study Mild cognitive decline (dpeaa)DE-He213 Dementia (dpeaa)DE-He213 Mild neurocognitive disorder (dpeaa)DE-He213 Major neurocognitive disorder (dpeaa)DE-He213 Physical activity (dpeaa)DE-He213 COM-B model (dpeaa)DE-He213 Trajectory (dpeaa)DE-He213 |
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physical activity trajectories and their associations with health outcomes in older adults with mild cognitive impairment or dementia: a national cohort study |
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Physical activity trajectories and their associations with health outcomes in older adults with mild cognitive impairment or dementia: a national cohort study |
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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. © The Author(s) 2024 |
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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. © The Author(s) 2024 |
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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. © The Author(s) 2024 |
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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. 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