Attitudes Toward Own Aging and Cognition among Individuals Living with and without Dementia: Findings from the IDEAL Programme and the PROTECT Study

doi:10.21203/rs.3.rs-151894/v1

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Attitudes Toward Own Aging and Cognition among Individuals Living with and without Dementia: Findings from the IDEAL Programme and the PROTECT Study

https://doi.org/10.21203/rs.3.rs-151894/v1

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Background: It is unclear whether people with dementia (PwD) have more negative attitudes toward own aging (ATOA) than people without dementia and what factors influence ATOA among PwD. We investigated whether PwD have more negative ATOA than individuals without dementia and whether cognition and dementia subtype are associated with ATOA in PwD.

Methods: Data from the IDEAL and PROTECT studies were used to compare ATOA between 1,502 PwD (mean (SD) age = 76.3 (8.5)) and 6,377 individuals without dementia (mean (SD) age = 66.1 (7.1)). Linear regressions and ANOVA were used.

Results: PwD reported slightly more negative ATOA than people without dementia; this relationship disappeared after controlling for depression and self-rated health. In PwD more positive ATOA showed negligible associations with better general cognition, memory performance, verbal fluency, and visuospatial ability. However, after adjusting for covariates only better visuospatial ability predicted more positive ATOA. Additional analyses showed that before and after controlling for covariates, individuals with poorer self-reported visual acuity have more negative ATOA. Amongst dementia subtypes, people with Parkinson’s disease dementia and dementia with Lewy bodies reported most negative ATOA.

Conclusions: ATOA between PwD and people without dementia do not differ. ATOA in PwD appear to be affected not by cognitive impairment but by other characteristics that vary across dementia subtypes. Among PwD, those with Parkinson’s disease dementia and dementia with Lewy bodies may have higher risk of experiencing negative ATOA due to the motor and visual impairments that they experience.

Geriatrics & Gerontology

Subjective aging

cognitive decline

views of aging

Parkinson’s disease dementia

dementia with Lewy bodies

dementia subtypes

cognitive subdomains

dementia prevention

Alzheimer’s disease

depression

As the population of older people increases globally (1), there is growing interest in subjective aging and how this relates to cognition and both physical and mental health. Attitudes toward own aging (ATOA) capture individuals’ evaluations of change happening in their lives as they age (2). ATOA are influenced by societal and cultural beliefs about aging (2) with pervasive negative stereotypes portraying older adults as cognitively inferior to younger individuals (3). Increasing age can lead to decline in most cognitive abilities including a decrease in processing speed, attention, memory, visuospatial abilities, executive functions, and in some aspects of language (e.g. word finding), thus confirming these negative stereotypes (4).

Among middle-aged and older individuals cognitive decline often leads to negative self-perceptions of aging and cognitive ability (5, 6). Those with more negative ATOA are at higher risk of cognitive decline (5, 7, 8) and of developing Alzheimer’s-like neuropathology (7–10). The negative impact of ATOA on cognition may be due to individuals with negative ATOA being less engaged in preventative behaviors (11) related to better maintenance of cognitive health (12). Therefore, negative ATOA may increase the risk of developing dementia in later life. Alternatively, impaired cognition may confirm and increase the salience of negative ATOA. People with dementia (PwD) experience a significant and progressive decline in multiple cognitive domains, including memory and executive functioning, that may interfere with the ability to conduct everyday activities (13–15). Moreover, PwD often have poor physical and mental health (16, 17) which may negatively impact on the maintenance of positive ATOA. Finally, the progress of dementia may restrict physical and social activities that may directly impact quality of life (18) and ATOA. Therefore, due to having cognitive and functional impairments PwD may have more negative ATOA than people without dementia.

Only two cross-sectional studies have compared ATOA in people living with and without dementia (19, 20). Both studies found that PwD were more likely to strongly express negative ATOA compared to those without dementia; however, the difference in levels of ATOA between PwD and people without dementia was small in both studies. Neither study adjusted for the effects of potentially important health-related covariates, such as poor mental and/or physical health (16, 17). Such factors predict more negative ATOA in PwD and people without dementia (21). In contrast, one study reported more positive ATOA in people with “suspected dementia” compared to individuals without dementia (22). However, the reliability of this study is limited as participants in the “suspected dementia” group had not received a formal diagnosis of dementia. Research comparing levels of ATOA among PwD and people without dementia is, therefore, limited and equivocal.

Among PwD those with more negative ATOA have higher levels of depression, pain, functional impairment, and self-reported memory problems (19, 20) compared to those with more positive ATOA. Among PwD there is little evidence about the association of ATOA with cognition. One small-scale study which considered global cognition rather than specific cognitive abilities found no association between cognition and ATOA (20). In previous ATOA studies PwD have been treated as a homogeneous group (19, 20) but different dementia diagnostic groups may show differences in ATOA due to disparate symptomatology (14). Small sample sizes (19, 20) have hitherto prevented investigating diagnostic differences in ATOA.

Exploring whether PwD have more negative ATOA than people without dementia is important as negative ATOA may decrease individuals’ capability to live well with dementia; that is, the ability to experience the best health state that encompasses all dimensions of physical, mental, and social well-being (23). PwD with more negative ATOA score more poorly on indicators of capability to live well (e.g. quality of life) compared to those with more positive ATOA (19, 20, 24). Therefore we investigated in two large cohorts whether PwD have more negative ATOA than people without dementia, controlling for mental and physical health and functional ability. In PwD we explored whether ATOA are associated with cognition and cognitive subdomains and whether levels of ATOA differ across dementia subtypes.

Study Design and Participants

Cross-sectional data from two cohort studies was used. Data for PwD were collected as part of the Improving the experience of Dementia and Enhancing Active Life (IDEAL) programme baseline assessment between 2014 and 2016 (25, 26). Analyses were conducted on version 4.5 of the dataset. PwD were recruited through a network of 29 National Health Service (NHS) Clinical Research Network (CRN) sites in Great Britain. Participants needed to have a dementia diagnosis of any type, a Mini-Mental State Examination (MMSE) score ≥ 15 (corresponding to mild-to-moderate dementia), and to be living in their own homes. Potential participants were excluded if they had a co-morbid terminal illness, were unable to provide informed consent, or there was any known potential for home visits to pose a significant risk to researchers. Further information about recruitment in IDEAL is reported in the published protocol (25). IDEAL was approved by the Wales 5 Research Ethics Committee (reference: 13/WA/0405) and the Ethics Committee of the School of Psychology, Bangor University (reference: 2014-11684) and is registered with the UK CRN (registration number: 16593).

Data for people without dementia were collected through the Platform for Research Online to investigate Genetics and Cognition in Aging (PROTECT, https://www.protectstudy.org.uk) study between 1^st January and 31^st March 2019. PROTECT participants were UK residents, English speakers, aged ≥ 50 years, had access to the internet, and did not have a clinical diagnosis of dementia. The PROTECT study was advertised through national publicity and through existing cohorts of older adults (Exeter 10,000 https://exetercrfnihr.org/about/exeter-10000/; Join Dementia Research https://www.joindementiaresearch.nihr.ac.uk/; and Brains for Dementia Research https://bdr.alzheimersresearchuk.org) (27, 28). PROTECT was approved by the London Bridge NHS Research Ethics Committee and Health Research Authority (reference: 13/LO/1578) and permission to conduct data analyses was obtained through the ethics committee at the University of Exeter, School of Psychology (reference: eCLESPsy000603).

Instruments

Attitude Toward Own Aging

The Attitude Toward Own Aging (ATOA) questionnaire, taken from the Philadelphia Geriatric Center Morale Scale (2), was used to assess ATOA in both studies. Total scores ranged from zero (most negative response in all five answers) to five (most positive response in all answers). To maximize the use of data a pro-rata score was computed when a response to one of the five questions was missing (29).

Measures administered to PwD

Included measures were selected from the wider IDEAL dataset. Except where noted all measures used in the present study were administered to PwD by a researcher, including ATOA, and reflect information self-reported by PwD.

The Addenbrooke's Cognitive Examination-III (ACE-III; 30) was used to measure cognition. Five subscales (attention; 0-18, memory; 0-26, verbal fluency; 0-14, language; 0-26, visuospatial ability; 0-16) are used, forming a total score for general cognition (0-100). Higher scores indicate better cognitive functioning. The ten-item Geriatric Depression Scale (31) was used to assess depression. Self-rated health was assessed with a single-item question (32) that asked participants to rate their own health on a six-point scale (excellent to very poor). To assess functional ability an amended 11-item Functional Activities Questionnaire (FAQ; 33) that includes an additional question concerning appropriate telephone use was used (13). Higher scores indicate poorer functional ability. The Charlson Comorbidity Index (34, 35) was used to enumerate co-morbid conditions and was administered as a joint interview between the PwD and family caregiver where available. Participants indicated whether they had any of the 23 conditions. As dementia is one of the 23 conditions total scores ranged from 1 to 23. Higher scores indicate greater level of co-morbidity (17). Self-reported visual acuity was assessed with a single-item question asking participants to rate their eyesight on a five-point scale (excellent to poor) (36). Information regarding the subtype of dementia was obtained from participants medical records and classified in seven groups: Alzheimer’s disease, vascular dementia, mixed Alzheimer’s disease/vascular dementia, frontotemporal dementia, Parkinson’s disease dementia, dementia with Lewy bodies, and unspecified/other. Education was assessed as a dichotomous variable; below university or university. Employment was assessed as a categorical variable: Paid employment, Retired, Unemployed/doing voluntary (unpaid) work.

Measures administered to people without dementia

Included measures were selected from the wider PROTECT dataset. All measures were self-completed through the PROTECT online platform, including ATOA. Depression was assessed using the nine-item Patient Health Questionnaire (PHQ-9; 37). Self-rated health was assessed with a single-item question that asked participants to rate their own health on a four-point scale (excellent to poor)(38). To assess functional ability a modified version of the Instrumental Activities of Daily Living Scale (IADL; 39) was used; two of the original eight items (assessing laundry and housekeeping) were combined.

Education was assessed as a dichotomous variable (below university or univeristy). Employment was assessed as a categorical variable: Paid employment, Retired, Unemployed/doing voluntary (unpaid) work. Cognitive functioning was measured with the PROTECT Cognitive Test Battery (28) which includes four tests (Grammatical Reasoning, Digit Span, Self-ordered Search, Paired Associate Learning).

Harmonization

To compare the two sets of data some measures were harmonized. Depression scores were converted into a dichotomous variable (depressed; 4-10 on the Geriatric Depression Scale and 4-27 on the PHQ-9; not depressed; 0-4 on the Geriatric Depression Scale and 0-4 on the PHQ-9)(24, 37). To match the responses in PROTECT the six-item self-rated health measure used in IDEAL combined excellent and very good to form the excellent rating while very poor and poor were collapsed into poor. Functional ability scores were converted into a dichotomous variable (dependent: 5-33 on the FAQ and 1-14 on the IADL; independent: 0-5 on the FAQ and 0 on the IADL)(33, 40).

Data Analysis

The two samples were combined and a dichotomous variable was created to classify whether people had dementia (1) or not (0). Linear regressions were conducted to explore whether dementia explained variability in levels of ATOA. To explore whether cognition explained variability in ATOA in PwD we conducted linear regressions. Analysis of variance and linear regressions explored whether levels of ATOA vary across dementia subtypes. To explore whether self-reported visual acuity explained variability in ATOA in PwD we conducted linear regressions. For each analysis both unadjusted models and adjusted models controlling for age, sex, education, employment, depression, self-rated health, and functional ability were conducted. In analyses with PwD, co-morbidity and self-reported visual acuity were included as covariates. Standardized regression coefficients were used to indicate effect size in regression models; ≤ 0.09 were considered negligible, 0.10–0.29 small, 0.30–0.49 moderate, ≥ 0.50 large (41). Eta-squared and partial eta-squared (η²/pη²) were used to indicate effect size in ANOVA; 0.01-0.05 were considered small, 0.06-0.13 moderate, ≥ 0.14 large (41).

IDEAL sample characteristics

Of the 1,540 participants who took part in IDEAL, 38 participants were excluded from the analyses as they did not complete the ATOA scale. A further 305 had one missing ATOA item so a pro-rata score was computed and used in analyses. The sample included in this study comprised 1,502 PwD, of whom just over half were diagnosed with Alzheimer’s disease, just over half were male, mean age was 76.3 years (range: 43–98), and the majority were white (99.7%). Further characteristics of the study sample are reported in Table 1.

Table 1

Descriptive statistics of demographic variables and main study variables for the IDEAL study sample
Characteristic	Sample who took part in the IDEAL study at baseline (n = 1,502)	Missing	Sample who took part in the PROTECT study in 2019 (n = 6,053)	Missing
Age in years, Mean (SD)	76.3 (8.5)	0	66.1 (7.1)	0
Sex (Women; n (%))	657 (43.7)	0	4,612 (76.2)	0
Education (n (%)) Below university University	1,176 (80.1) 292 (19.9)	34	1,491 (24.6) 4,562 (75.4)	0
Current employment (Yes; n (%)) In paid employment Retired Unemployed/doing voluntary (unpaid) work	41 (2.7) 1,414 (94.3) 44 (2.9)	3	1,957 (32.3) 2,162 (35.7) 1,934 (32.0)	0
Diagnosis subtype (n (%)) Alzheimer’s disease Vascular dementia Mixed (Alzheimer’s and vascular) Frontotemporal dementia Parkinson’s disease dementia Dementia with Lewy bodies Unspecified/other	833 (55.5) 167 (11.1) 315 (21.0) 53 (3.5) 42 (2.8) 52 (3.5) 40 (2.7)	0	Not applicable
ACE-III total score, Mean (SD) Attention Memory Verbal fluency Language Visuospatial ability	69.12 (13.12) 13.87 (2.99) 13.49 (5.38) 6.75 (3.06) 22.45 (3.63) 12.51 (3.25)	103	Not applicable
Attitudes toward own aging, Mean (SD)	2.36 (1.58)		2.62 (0.79)
Depression (Depressed; n(%))	441 (30.1)	38	1,496 (24.8)	27
Functional ability (Dependent; n(%))	1318 (90.9)	52	463 (7.7)	0
Self-rated health, (n (%)) Poor Fair Good Excellent	201 (13.4) 354 (23.6) 842 (56.2) 101 (6.7)	4	120 (2) 765 (12.7) 3,299 (54.6) 1,858 (30.8)	11
Co-morbidity; Mean (SD)	2.91 (1.91)	103	Not applicable
Note: ACE-III, Addenbrooke’s Cognitive Examination-III

PROTECT sample characteristics

Of the 14,797 participants that took part in PROTECT 5,387 were excluded as they did not complete the ATOA; 3,033 were excluded as they did not complete the PROTECT cognitive battery (28) and therefore mild cognitive impairment (MCI) or dementia could not be eliminated; and 178 were excluded as they had missing data in one of the main current study variables. An additional 144 participants (2.4%) were excluded as they either self-reported (n = 24) or were judged to have MCI (n = 122) based on their scores on two or more cognitive measures included in the PROTECT cognitive battery. Therefore, we included data from 6,053 participants, the majority of whom were women (76.2%); the mean age was 66.1 years (range: 51–95), and almost all were white (98.6%). Further characteristics of the study sample are reported in Table 1.

Differences in levels of ATOA among PwD and people without dementia

Presence of dementia in the unadjusted model was associated with more negative ATOA (p < 0.001); thus PwD have more negative ATOA than people without dementia (Table 2). However, the effect size was small and the mean difference in levels of ATOA between PwD and people without dementia was very small (0.2). After adjusting for covariates the model was no longer significant. Being depressed and having poorer self-rated health were significant covariates and were associated with more negative ATOA (Table 2).

Table 2

Unadjusted and adjusted associations with dementia diagnosis as the predictor of attitudes toward own aging
	Variables	Regression coefficient (95% CI); p- value	Standardized regression coefficient (95% CI)
Unadjusted model	Dementia	-0.27 (-0.32 to -0.21); < 0.001	-0.11 (-0.13 to -0.08)
Adjusted model	Dementia	-0.05 (-0.12 to 0.01); 0.14	-0.02 (-0.05 to 0.01)
	Age	0.00 ( 0.00 to 0.00); 0.91	-0.02 (-0.03 to 0.02)
	Sex	-0.01 (-0.05 to 0.04); 0.83	0.00 (-0.03 to 0.02)
	Employment	-0.02 (-0.05 to 0.02); 0.34	-0.01 (-0.03 to 0.01)
	Education	0.01 (-0.04 to 0.05); 0.71	0.00 (-0.02 to 0.03)
	Depression	-0.45 (-0.50 to -0.40); < 0.001	-0.20 (-0.22 to -0.17)
	Self-rated health	0.28 ( 0.25 to 0.31); < 0.001	0.22 ( 0.19 to 0.24)
	Functional ability	-0.01 (-0.09 to 0.08); 0.90	0.00 (-0.02 to 0.02)

Relationships of ATOA with cognition among PwD

Poorer memory performance, better verbal fluency, and better visuospatial ability predicted more positive ATOA in the unadjusted model; effect sizes were negligible (Table 3). After adjusting for covariates only better visuospatial ability predicted more positive ATOA (Table 3 and supplementary Table 1). In the unadjusted model language ability was associated with ATOA (p = 0.044); the size of the association was negligible (Table 3). Neither general cognition nor attention were significantly associated with ATOA at the 5% level (Table 3).

Table 3

Unadjusted and adjusted associations with general cognition, memory, verbal fluency, and visuospatial ability, attention, and language as the predictors of attitudes toward own aging
Predictive variables	Unadjusted model Standardized coefficient (95% CI)	Adjusted model* Standardized coefficient (95% CI)
General cognition	0.03 (-0.02 to 0.09)	0.02 (-0.03 to 0.06)
Memory	-0.09 (-0.14 to -0.04)	-0.03 (-0.08 to 0.01)
Verbal fluency	0.09 ( 0.04 to 0.14)	0.02 (-0.02 to 0.07)
Visuospatial ability	0.15 ( 0.10 to 0.20)	0.07 (0.02 to 0.12)
Attention	0.02 (-0.03 to 0.07)	0.01 (-0.04 to 0.05)
Language	0.05 ( 0.02 to 0.10)	0.02 (-0.02 to 0.07)
Note: * Adjusted for age, sex, education, employment, depression, self-rated health, functional ability, and co-morbidity.

Relationship between ATOA and dementia subtypes

Type of dementia predicted a significant amount of variability in ATOA before controlling for covariates (Table 4). People with Parkinson’s disease dementia and dementia with Lewy bodies reported most negative ATOA (Table 5). Type of dementia did not predict a significant amount of variability in ATOA after controlling for covariates (Table 4). Depression, self-rated health, and self-reported visual acuity were significant covariates.

Table 4

Unadjusted and adjusted associations with dementia subtypes as the predictor of attitudes toward own aging
	Variables	Regression coefficient (95% CI); p- value	Standardized regression coefficients
Unadjusted model	Dementia subtypes:
	Alzheimer’s disease	Reference group	Reference group
	Vascular dementia	-0.30 (-0.55 to -0.04); 0.025	-0.06
	Mixed (Alzheimer’s and vascular)	-0.28 (-0.48 to -0.08); 0.006	-0.07
	Frontotemporal dementia	-0.17 (-0.60 to 0.26); 0.439	-0.02
	Parkinson’s disease dementia	-1.32 (-1.80 to -0.83); < 0.001	-0.14
	Dementia with Lewy bodies	-0.89 (-1.33 to -0.46); < 0.001	-0.10
	Unspecified/other	-0.25 (-0.75 to 0.24); 0.313	-0.03
Adjusted model	Dementia subtypes:
	Alzheimer’s disease	Reference group	Reference group
	Vascular dementia	0.02 (-0.23 to 0.26); 0.879	0.00
	Mixed (Alzheimer’s and vascular)	-0.08 (-0.27 to 0.11); 0.393	-0.02
	Frontotemporal dementia	-0.22 (-0.61 to 0.16); 0.258	-0.02
	Parkinson’s disease dementia	-0.36 (-0.82 to 0.10); 0.122	-0.04
	Dementia with Lewy bodies	-0.13 (-0.54 to 0.28); 0.542	-0.01
	Unspecified/other	0.11 (-0.36 to 0.58); 0.649	0.01
	Covariates:
	Age	-0.00 (-0.01 to 0.01); 0.417	-0.02
	Sex	-0.04 (-0.18 to 0.11); 0.596	-0.01
	Education	-0.05 (-0.23 to 0.13); 0.555	-0.01
	Employment	-0.09 (-0.39 to 0.20); 0.538	-0.01
	Depression	-1.46 (-1.64 to -1.29); < 0.001	-0.42
	Self-rated health	0.37 ( 0.26 to 0.50); < 0.001	0.19
	Functional ability	-0.27 (-0.63 to 0.10); < 0.001	-0.03
	Co-morbidity	-0.01 (-0.05 to 0.03); 0.504	-0.02
	Visual acuity	-0.16 (-0.24 to -0.09); < 0.001	-0.11

Table 5

Means, standard deviation, and comparison of levels on the Attitudes Toward Own Aging scale across seven dementia subtypes
Analysis of variance between dementia subtypes and attitudes toward own aging
Dementia subtypes	Attitudes toward own aging Mean (SD)	Contrast (95% CI)	Standard Error	Eta-squared	F-statistic (df); p
Alzheimer’s disease	2.53 (1.58)	(reference)	(reference)	0.03	7.79 (6); < .001
Vascular dementia	2.23 (1.70)	-0.30 (-0.64 to 0.05)	0.13
Mixed (Alzheimer’s and vascular)	2.25 (1.48)	-0.28 (-0.55 to -0.01)	0.10
Frontotemporal dementia	2.35 (1.51)	-0.17 (-0.75 to 0.41)	0.22
Parkinson’s disease dementia	1.21 (1.20)	-1.32 (-1.97 to -0.66)	0.25
Dementia with Lewy Bodies	1.63 (1.39)	-0.89 (-1.48 to -0.31)	0.22
Unspecified/other	2.28 (1.71)	-0.25 (-0.92 to 0.41)	0.25

Relationship between visuospatial ability and ATOA

As better visuospatial ability predicted more positive ATOA, we explored whether self-reported visual acuity explains variability in levels of ATOA. Before and after controlling for covariates, individuals with poorer self-reported visual acuity reported more negative ATOA than those with better self-reported visual acuity; the effect size was small (Table 6).

Table 6

Unadjusted and adjusted associations with visual acuity as the predictor of attitudes toward own aging
	Variables	Regression coefficient (95% CI); p- value	Standardized regression coefficients
Unadjusted model	Visual acuity Excellent (Reference) Very good Good Fair Poor	-0.41 (-0.69 to -0.12); 0.005 -0.80 (-1.07 to -0.53); < 0.001 -1.40 (-1.70 to -1.09); < 0.001 -1.70 (-2.09 to -1.32); < 0.001	-0.11 -0.25 -0.34 -0.26
Adjusted model	Visual acuity Excellent (Reference) Very good Good Fair Poor	-0.28 (-0.54 to -0.01); 0.039 -0.40 (-0.65 to -0.15); 0.002 -0.61 (-0.91 to -0.32); < 0.001 -0.62 (-1.0 to -0.24); 0.001	-0.08 -0.12 -0.15 -0.09
	Age	-0.00 (-0.01 to 0.01); 0.422	-0.02
	Sex	-0.03 (-0.17 to 0.11); 0.682	-0.01
	Education	-0.05 (-0.43 to 0.13); 0.552	-0.01
	Employment	-0.11 (-0.41 to 0.19); 0.478	-0.02
	Depression	-1.47 (-1.65 to -1.30); < 0.001	-0.42
	Self-rated health	0.37 ( 0.27 to 0.48); < 0.001	0.19
	Functional ability	-0.28 (-0.65 to 0.08); 0.127	-0.03
	Co-morbidity	-0.01 (-0.05 to 0.03); 0.503	-0.02

This study showed no difference in levels of ATOA between PwD and people without dementia. Among PwD those with more extensive cognitive impairment do not have more negative ATOA than those with better cognition. These results are promising as positive ATOA is a psychological resource that helps PwD to live well with dementia (19, 20). Among dementia subtypes, people with Parkinson’s disease dementia and dementia with Lewy bodies report the most negative ATOA; hence they may lack a potentially important psychological resource.

Consistently with previous studies we found very small differences in levels of ATOA between PwD and people without dementia (19, 20); however, these previous studies were limited in that they did not control for potentially important covariates. After controlling for covariates, we demonstrated that having a dementia diagnosis was no longer associated with more negative ATOA. Being depressed and having poorer self-rated health were significant covariates associated with more negative ATOA among PwD and people without dementia. Hence the slightly more negative ATOA reported by PwD may be due to them being more likely to experience depression and poor self-rated health (16, 17) than people without dementia. Based on the small mean difference in ATOA our findings suggest no difference in levels of ATOA between PwD and people without dementia and any differences are likely due to other factors including self-rated depression, reduced visual acuity and/or health.

Only one study with a small sample size has so far explored the association of general cognition with ATOA in PwD, and found no association (20). Consistent with this study, we found no association in PwD between general cognition and ATOA. The lack of an association is interesting as despite poorer cognitive performance being associated with more negative ATOA and increased likelihood of developing dementia among middle-aged and older individuals (7–10), in people with established dementia degree of cognitive impairment does not appear to be related to ATOA. The cognitive failures that middle-aged and older individuals without a diagnosis of dementia experience may be unexpected and hence have a negative impact on self-perceptions including ATOA. Receiving a diagnosis of dementia may lead to the internalization of negative attributes about the self (42) including negative ATOA, but the subsequent cognitive decline that comes with the progression of the disease may not further exacerbate negative ATOA.

We explored the association of ATOA with five cognitive subdomains among PwD. Poorer executive function and poorer verbal ability have been associated with more negative ATOA among middle-aged and older individuals (7). Among PwD, we found that those with poorer visuospatial ability had more negative ATOA. Importantly, we found a small association for self-rated poorer visual acuity with more negative ATOA in PwD, suggesting that age-related changes in vision may negatively impact both on ATOA and visuospatial ability. Further studies could focus on the association between ATOA, poor eyesight and visuospatial ability with a more comprehensive visuospatial assessment. We also found that PwD with better memory and poorer verbal fluency had more negative ATOA, though effects were not statistically significant after controlling for covariates. Depression, poorer self-rated health, and lower functional ability predicted more negative ATOA. For PwD with better memory who are at an early stage of the illness, more negative ATOA, psychological well-being, and self-rated health could be due to having recently received a diagnosis of dementia (42). The negative ATOA reported by PwD with poor verbal fluency may be due to these individuals having difficulty communicating basic needs or interacting with family members on a day-to-day basis (43).

Finally, the finding that people with Parkinson’s disease dementia and dementia with Lewy bodies have more negative ATOA than people with other types of dementia extends previous research where people with these two dementia subtypes reported poorer psychological health and quality of life (44, 45).The more negative ATOA found in people with these two dementia subtypes may be due to the movement disorders and visuospatial abnormalities associated with their Parkinsonian pathology. Indeed, restricted movement can limit daily activities (45) which may negatively affect ATOA. Differences across dementia subtypes were attenuated after controlling for covariates, with depression, self-rated health, and self-reported visual acuity being significant covariates. This further suggests that the motor and visual impairments (45, 46) that characterize people with Parkinson’s disease dementia and dementia with Lewy bodies may negatively impact ATOA in these conditions. It may be that motor and visual impairments are more salient than cognitive impairment in terms of the impact on ATOA. Future studies could explore, in people with Parkinson’s disease without dementia, whether greater motor and visual impairments are associated with poorer ATOA.

Combining participants from the IDEAL and PROTECT studies is both a strength and limitation of this study. The two cohorts recruited and assessed participants in different ways which may have influenced participants’ answers. In addition participants in IDEAL were generally older and less educated, and the gender-balance in the sample was more even compared to PROTECT. Also, IDEAL included fewer participants that were still employed than participants in PROTECT. These factors were controlled for in the analyses; therefore the statistically significant though very small difference in levels of ATOA between PwD and people without dementia was unlikely to be due to the demographic characteristics of the samples. Participants in both cohorts were mainly white; as there are cultural differences in ATOA, generalization of results to other ethnic groups should be exercised with caution (47). Harmonizing different measures employed between the IDEAL and PROTECT studies to assess the same behavioral characteristics may have generated some bias, although harmonizing in this way between different studies is well-established (48).

Due to the breadth of the IDEAL and PROTECT studies, only brief measures could be used. This study did not use a domain-specific measure of ATOA; this is a limitation as levels of ATOA may differ between PwD and people without dementia depending on the domain studied (19, 20, 49). Visual acuity was self-rated by participants; this is a potential limitation as the association we found between poorer self-reported visual acuity and more negative ATOA may be due to people with more negative ATOA expecting a decline in their eyesight as part of getting older. Future studies could explore whether the association of ATOA with visual acuity is confirmed when using objective assessments of visual impairment. Finally, the current study is based on cross-sectional analyses. Those with more negative ATOA may show greater cognitive decline over time; therefore the association between cognition and ATOA among PwD may become significant longitudinally. Analyses to investigate this will be conducted once longitudinal data are available.

A strength of the study is the use of two large cohorts that facilitated exploring differences in levels of ATOA among PwD and people without dementia, particularly in some of the rarer dementia subtypes. Another strength of the study is that IDEAL included people with any type of dementia in roughly the same proportions diagnosed in memory clinics, and people from a range of economic backgrounds (50). A final strength is that using the ACE-III made it possible to explore in PwD the associations of ATOA with five cognitive subdomains.

This study showed that while PwD report slightly more negative ATOA than people without dementia, this effect disappears after controlling for depression and self-rated health. In PwD ATOA are not affected by the degree of cognitive impairment. Finally, people with a diagnosis of Parkinson’s disease dementia or dementia with Lewy bodies expressed more negative ATOA compared to people with other dementia diagnoses; this may be due to the motor and visual impairments that they experience. Further investigation of the associations of more negative ATOA with poorer visuospatial ability and greater visual impairment in PwD is needed as visual impairments may be a potential risk factor for negative ATOA. Overall, even though levels of ATOA do not differ between people with and without dementia, among PwD, those with Parkinson’s disease dementia or dementia with Lewy bodies may be at highest risk of experiencing negative ATOA.

PwD= People with dementia

ACE-III= Addenbrooke's Cognitive Examination-III

ATOA= Attitudes toward own aging

CRN= Clinical Research Network

FAQ= Functional Activities Questionnaire

IADL= Activities of Daily Living Scale

IDEAL= Improving the experience of Dementia and Enhancing Active Life

M= Mean

MCI= Mild cognitive impairment

MMSE= Mini-Mental State Examination

NHS= National Health Service

PHQ= Patient Health Questionnaire

PROTECT= Platform for Research Online to investigate Genetics and Cognition in Aging

SD= Standard Deviation

η²/pη²= Eta-squared and partial eta-squared

Ethics approval and consent to participate

The IDEAL study received ethical approval from the Wales 5 Research Ethics Committee (reference: 13/WA/0405) and the Ethics Committee of the School of Psychology, Bangor University (reference: 2014-11684) and is registered with the UK CRN (registration number: 16593). Written informed consent at baseline was provided by people with dementia themselves and was one of the inclusion criteria of the IDEAL study.

The PROTECT study received full ethical approval from the London Bridge NHS Research Ethics Committee and Health Research Authority (Ref: 13/LO/1578). Ethical approval for the data analyses was sought through the ethics committee at the University of Exeter, School of Psychology (Application ID: eCLESPsy000603 v1.0). Full written consent was obtained for all participants on registration for the PROTECT study, including consent for re-contact. Participants enrolled through the PROTECT study website, downloaded the study information sheet, and provided consent online.

Consent for publication

Not applicable.

Availability of data and materials

IDEAL data were deposited with the UK data archive in April 2020 and will be available to access from April 2023. Details of how the data can be accessed after that date can be found here: http://reshare.ukdataservice.ac.uk/854293/.

PROTECT data are available to investigators outside the PROTECT team after request and approval by the PROTECT Steering Committee.

Competing interests

The authors declare that they have no competing interests.

Funding

The IDEAL (Improving the experience of Dementia and Enhancing Active Life: Living well with dementia) study was funded jointly by the Economic and Social Research Council (ESRC) and the National Institute for Health Research (NIHR) through grant ES/L001853/2 ‘Improving the experience of dementia and enhancing active life: Living well with dementia’ (Investigators: L. Clare, I.R. Jones, C. Victor, J.V. Hindle, R.W. Jones, M. Knapp, M. Kopelman, R. Litherland, A. Martyr, F. Matthews, R.G. Morris, S.M. Nelis, J. Pickett, C. Quinn, J. Rusted, J. Thom). ESRC is part of UK Research and Innovation (UKRI). ‘Improving the experience of Dementia and Enhancing Active Life: a longitudinal perspective on living well with dementia. The IDEAL-2 study’ is funded by Alzheimer’s Society, grant number 348, AS-PR2-16-001. Investigators: L. Clare, I.R. Jones, C. Victor, C. Ballard, A. Hillman, J.V. Hindle, J. Hughes, R.W. Jones, M. Knapp, R. Litherland, A. Martyr, F. Matthews, R.G. Morris, S.M. Nelis, C. Quinn, J.M. Rusted. The support of ESRC, NIHR and Alzheimer’s Society is gratefully acknowledged.

Serena Sabatini was supported by the University of Exeter College of Life and Environmental Sciences (School of Psychology); University of Exeter College of Medicine and Health; and the National Health and Medical Research Council Centre for Research Excellence in Cognitive Health [#1100579 to Kaarin Anstey].

Obioha Ukoumunne is supported by the National Institute for Health Research (NIHR) Applied Research Collaboration SouthWest Peninsula (PenARC).

This paper represents independent research in part-funded by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London.

The funding bodies did not contribute in the design of the current study, data collection, analysis, interpretation of data, or in writing the manuscript.

Authors’ contribution

SS served as principal investigator of the research, designed the study, conducted data analyses, and took the lead in writing the manuscript.

LC conceived and designed the IDEAL programme and contributed to the design and conduct of the current analyses and writing the manuscript.

AC, HB, and CB contributed to data collection and design of the PROTECT study, and provided feedback on the draft of the manuscript.

AM, CQ, JR, and CB are co-investigators in the IDEAL programme and contributed to the design and conduct of the current study and writing the manuscript.

OU contributed to data analyses and writing the manuscript.

The remaining co-authors provided feedback on the draft of the manuscript. The authors have read and approved the manuscript.

Acknowledgments

We would like to thank Laura Gamble for statistical advice.

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Attitudes Toward Own Aging and Cognition among Individuals Living with and without Dementia: Findings from the IDEAL Programme and the PROTECT Study

Status:

Version 1

Abstract

Background

Methods

Study Design and Participants

Instruments

Attitude Toward Own Aging

Measures administered to PwD

Measures administered to people without dementia

Harmonization

Data Analysis

Results

IDEAL sample characteristics

PROTECT sample characteristics

Differences in levels of ATOA among PwD and people without dementia

Relationships of ATOA with cognition among PwD

Relationship between ATOA and dementia subtypes

Relationship between visuospatial ability and ATOA

Discussion

Strengths And Limitations

Conclusion

Abbreviations

Declarations

Ethics approval and consent to participate

Consent for publication

Availability of data and materials

Competing interests

Funding

Authors’ contribution

Acknowledgments

References

Supplementary Files

Status:

Version 1