Time Out-of-Home and Cognitive, Physical, and Emotional Wellbeing of Older Adults: A Longitudinal Mixed Effects Model

Petersen, Jóhanna; Austin, Daniel; Mattek, Nora; Kaye, Jeffrey

doi:10.1371/journal.pone.0139643

Cited by 98 publications

(102 citation statements)

References 42 publications

(55 reference statements)

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“…For example, tracking call history would enable assessment of social network size and frequency of contact—the two major components of social isolation scales (Petersen, Thielke, Austin, & Kaye, 2015). Other behaviors that may relate to loneliness that can be tracked unobtrusively include time spent outside the home (Petersen et al, 2014; Petersen, Austin, Mattek, & Kaye, 2015), computer use (Amichai-Hamburger & Ben-Artzi, 2003), and sleep quality (Hawkley et al, 2010). Such approaches to loneliness identification would have dramatic consequences for the understanding of loneliness, enabling researchers to monitor and assess loneliness levels on smaller timescales such as daily or even hourly.…”

Section: Discussionmentioning

confidence: 99%

Longitudinal Relationship Between Loneliness and Social Isolation in Older Adults

et al. 2015

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Objective To understand the longitudinal relationship between loneliness and isolation. Method Participants included 5,870 adults 65 years and older (M = 72.89 ± 5.59 years) from the first 5 years of the Cardiovascular Health Study. Loneliness was assessed using a dichotomized loneliness question. Social isolation was assessed using six items from the Lubben Social Network Scale. Yearly life events were included to assess abrupt social network changes. Mixed effects logistic regression was employed to analyze the relationship between isolation and loneliness. Results Higher levels of social isolation were associated with higher odds of loneliness, as was an increase (from median) in level of social isolation. Life events such as a friend dying were also associated with increased odds of loneliness. Discussion These results suggest that average level of isolation and increases in the level of isolation are closely tied to loneliness, which has implications for future assessment or monitoring of loneliness in older adult populations.

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Section: Discussionmentioning

confidence: 99%

Longitudinal Relationship Between Loneliness and Social Isolation in Older Adults

et al. 2015

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“…Brain tissue collection, histochemical staining, and reporting follow standardized procedures through this agreement. Both ADCs recruit patients seen in clinic for diagnosis, treatment, or enrollment in clinical trials; however, autopsied participants seen at OHSU were recruited from a number of cohort studies focusing on healthy aging in older adults, which are described elsewhere (Howieson et al, 1993; Kaye et al, 2009, 2011; Petersen et al, 2015). Hereafter OHSU and UW ADCs are referred to collectively as the PANDA ADCs.…”

Section: Methodsmentioning

confidence: 99%

Alzheimer's disease neuropathologic change, Lewy body disease, and vascular brain injury in clinic- and community-based samples

Brenowitz

Keene

Hawes

et al. 2017

Neurobiology of Aging

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We examined the relationships between Alzheimer’s disease neuropathologic change (ADNC), Lewy body disease (LBD), and vascular brain injury (VBI) in two large autopsy samples. Because findings may differ between study populations, data came from U.S. Alzheimer’s Disease Centers contributing to the National Alzheimer’s Coordinating Center (NACC, n=2,742) and from the population-based Adult Changes in Thought study (ACT, n=499). Regardless of study population, over 50% of participants with ADNC had co-occurring LBD or VBI; the majority of whom had a clinical AD dementia diagnosis prior to death. Overlap of pathologies was similar between studies, especially after standardizing to the distribution of age and dementia status in the ACT population. LBD, but not VBI, was positively associated with ADNC in both studies. Interestingly, cortical LBD was more common in those with intermediate ADNC compared to low or high ADNC, especially in NACC (p<0.001). High prevalence of co-occurring neuropathologies among older adults with dementia has implications for accurate diagnosis of dementia etiologies and development of disease-modifying strategies.

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“…These two ADCs have a joint agreement as part of the Pacific Northwest Dementia and Aging Neuropathology Group (PANDA) to follow the same neuropathologic assessment protocol, an additional benefit of this sub-analysis. Both ADCs recruit patients seen in clinic for enrollment into the UDS; however, OHSU also recruited participants from a number of cohort studies focusing on healthy aging and described elsewhere [22–25]. Subsequently, we will use the term PANDA ADCs to refer to OHSU and UW ADCs combined.…”

Section: Methodsmentioning

confidence: 99%

Mixed neuropathologies and estimated rates of clinical progression in a large autopsy sample

Brenowitz

Hubbard

Keene

et al. 2016

Alzheimer's & Dementia

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INTRODUCTION Whether co-occurring neuropathologies interact or independently affect clinical disease progression is uncertain. We estimated rates of clinical progression and tested whether associations between clinical progression and Alzheimer’s disease neuropathology (ADNP) were modified by co-occurring Lewy body disease (LBD) or vascular brain injury (VBI). METHODS Linear mixed effects models evaluated longitudinal trends in the Clinical Dementia Rating Sum of Boxes on 2,046 autopsied participants seen at a U.S. Alzheimer’s Disease Center. RESULTS Annual clinical progression was slightly faster for ADNP+LBD compared to ADNP only (p=0.06) and slightly slower for ADNP+VBI (p=0.003). Differences in progression were less than expected if each neuropathology independently contributed to progression; ADNP interacted with LBD (p=0.002) and VBI (p=0.003). In secondary models, the effect of additional pathologies on clinical progression was greater in those with intermediate compared to high levels of ADNP. DISCUSSION The impact of co-occurring pathologies on progression may depend on severity of ADNP.

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Time Out-of-Home and Cognitive, Physical, and Emotional Wellbeing of Older Adults: A Longitudinal Mixed Effects Model

Cited by 98 publications

References 42 publications

Longitudinal Relationship Between Loneliness and Social Isolation in Older Adults

Longitudinal Relationship Between Loneliness and Social Isolation in Older Adults

Alzheimer's disease neuropathologic change, Lewy body disease, and vascular brain injury in clinic- and community-based samples

Mixed neuropathologies and estimated rates of clinical progression in a large autopsy sample

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