- Research article
- Open Access
- Open Peer Review
The association between indicators of health and housing in people with Parkinson’s disease
© The Author(s). 2016
- Received: 22 December 2015
- Accepted: 21 July 2016
- Published: 27 July 2016
There are knowledge gaps about the life situation for people ageing with Parkinson’s disease (PD), with virtually no understanding of home and health dynamics. Therefore, the aim of the present study was to explore the association between aspects of health and objective as well as perceived housing in people with PD.
Participants were recruited from three hospitals in the region of Skåne in southern Sweden. The sample for the present study included 231 (62 % men) participants with PD, with a mean age of 75 (min-max, 45–93) years. The data collection procedure included a self-administered postal survey and a subsequent home visit where structured interviews, observations and clinical assessments were administered. To study the association between aspects of health and housing canonical correlation was applied. Twelve variables (6 in the health and 6 in the housing set) were included. This corresponds to about 20 individuals per variable and is considered sufficient to accurately interpret the largest (i.e., first) canonical correlation.
The analysis between the health variables and housing variables set yielded two significant pairs of variates with the canonical correlations 0.68 (p < 0.0001) and 0.33 (p = 0.0112), respectively. For the first pair of variates the canonical R2 was 0.46. The results showed that external control beliefs and behavioral aspects of meaning of home contributed the most to the housing variate, whereas difficulties/dependence in activities of daily living (ADL) and functional limitations contributed the most to the health variate. Although a significant relationship was found for the second canonical correlation, the shared variance between the two variates was considerably lower; R2 = 0.11.
This study suggests that people with PD who have more functional limitations, difficulties in ADL and are more dependent perceive their homes as less meaningful from a behavioral perspective. Moreover, they tend to rely on external influences managing their housing situation. With this kind of knowledge at hand, health care and social services professionals are in a better position to observe and efficiently address problems related to health and housing among people with PD.
- Activities of daily living
- Canonical correlations
- External control
- Parkinson’s disease
With an increased life expectancy for the general population as well as for people ageing with chronic diseases  there are major challenges not only to individuals and their families but also to health care and societal planning . For example, an increasing proportion of older people remain living in their ordinary homes despite health decline and disability . Major gerontology studies typically involve general population samples with little attention to sub-groups with specific diagnoses. Consequently, little is known about the complex relationships of housing and health in different sub-groups of the ageing population, such as people with Parkinson’s disease (PD).
In terms of theory, gerontology studies that target person-environment relations most often refer to Lawton’s Ecological Theory of Ageing (ETA) [4, 5]. Herein the person is defined in terms of a set of competencies and the environment is defined in terms of press. When health declines in very old age, the environmental pressure (E) often exceeds the personal (P) capacities, resulting in more person-environment (P-E) fit problems, maladaptive behavior and negative health outcomes. Research on health and housing in very old age has considered contextual factors such as objective and perceived aspects of housing [6–8]. As to objective aspects of housing, potential physical environmental barriers can be assessed in relation to whether they comply with public standards and guidelines for built environment design. Perceived aspects of housing relate to health in very old age [6–8] and include the following constructs: usability, housing satisfaction, meaning of home, and housing-related control beliefs . A previous study by Oswald et al. used canonical correlations in order to study the relationships between health and housing in five European countries. It involved very old single community-living people; the results indicated that very old people who perceive their home as meaningful and useful, and who think that external influences are not responsible for their housing situation are more independent in daily activities and have a better sense of well-being . To date, such relationships have not been studied with other sub-groups of the ageing population and with little attention to specific diagnoses.
Ageing with a progressive and chronic disease such as PD imposes specific challenges. Already early on during the disease course, the performance of activities of daily living (ADL) is affected [10, 11]. People with PD are more likely to move to assisted living facilities and at an earlier age than people in general , and falls are among the leading reasons for residential care admittance . This causes high costs to society  and has large consequences for those affected.
In two explorative studies [14, 15] we found that very old people with self-reported PD (n = 20) had more functional limitations and P-E fit problems than matched controls. They also perceived their homes as less usable in relation to activities. These results indicate the importance of studying and comparing such dynamics in sub-groups of the ageing population, but the findings should be replicated in larger samples with a verified PD-diagnosis. In fact, PD-studies that have systematically examined health and housing dynamics are lacking, and older people are often excluded from PD-research . Accordingly, addressing objective as well as perceived aspects of housing and how they are associated with health represents a novel approach for PD-research. The knowledge gained by such studies has potential to nurture the development of more efficient approaches to address individual housing needs, for example, in relocation counseling and housing adaptation services. Moreover, in order to more efficiently address the needs of specific diagnose groups such as people with PD, housing provision at the societal level could benefit from knowledge about housing and health dynamics.
Inspired by the study by Oswald et al. , this study aimed to explore associations between aspects of health (e.g., ADL, life satisfaction, depressive symptoms) and objective (i.e., physical environmental barriers) as well as perceived aspects of housing (i.e., usability, meaning of home, external control beliefs) in people with PD.
The present study was based on baseline data collected for the project “Home and Health in People Ageing with PD”. The project design, procedure and instrumentation have been described in detail in a study protocol . The previous study by Oswald et al.  served as an inspiration for the overall design and selection of variables for the present study. Accordingly, only a subset of the comprehensive data available was utilized.
Participants were recruited from three hospitals in the region of Skåne in southern Sweden; 653 individuals fulfilled the inclusion criterion of being diagnosed with PD (G20.9) since at least one year, whereof 158 individuals were not eligible due to the exclusion criteria applied. That is, difficulties in understanding/speaking Swedish and/or extensive cognitive difficulties/other reasons that made the individual unable to give informed consent or take part in the majority of the data collection were used as exclusion criteria. The remaining 437 individuals were invited to participate, whereof 157 declined to participate, 22 were unreachable and two had their diagnosis revised. The final project sample was 255 participants. For the present study, we only included those with complete data on all variables of interest for the study aim. Consequently, 24 (10 men) participants were excluded due to missing data. They were significantly older (p = 0.009) and had more severe PD (p = 0.011) than the included participants, but their PD-duration did not differ (p = 0.722). The final sample for the present study included 231 (62 % men) participants with a mean age of 75 (min-max, 45-93) years.
Data collection and instruments
The data collection for the project included a self-administered postal survey and a subsequent home visit where structured interviews, observations and clinical assessments were administered. The data collection was administered and performed by two project assistants (experienced reg. occupational therapists) that underwent project-specific training.
Participant characteristics, n = 231
Median, q1-q3 (unless otherwise stated)
Age (years), mean (SD)
Sex (men), n (%)
Living alone (yes), n (%)
Years lived in the present home
Type of housing (apartment/private house)a, n (%)
101 (44)/ 129 (56)
PD-severity (Hoehn & Yahr)
Severity of motor symptoms (UPDRS part III)
Cognitive function (MoCA)
Non-motor symptoms (NMSQuest, total number reported)
Descriptives of aspects of health among people with Parkinson’s disease, n = 231
Number of items
Possible total scoring range, min-max
Median (q1-q3) unless other is stated
Functional limitations, HE
Activities of Daily Living, PADLS
Depressive symptoms, GDS-15
Autonomy, PWQ, mean (SD)
Purpose in life, PWQ, mean (SD)
Life satisfaction, item 1 LiSat-11
Decriptives of physical environment barriers and perceived aspects of home among people with Parkinson’s disease, n = 231
Number of items
Possible total scoring range, min-max
Environmental barriers, HE
Usability in the home, UIMH
Physical environmental aspects
Meaning of home, MOH
Cognitive emotional aspects
Housing related external control beliefs, HCQ
Combined (Subscales: powerful others + chance)
Aspects of health
Prior to the home visit the self-administered Parkinson’s Disease Activities of Daily Living Scale (PADLS)  was distributed by post; it targets difficulties and dependence in relation to ADL. At the home visit, interview and observation of functional limitations was administered according to the personal component of the Housing Enabler instrument (HE; further described under “Aspects of Housing”) . The following 12 functional limitations were scored as Present/Not present: difficulty in interpreting information; visual impairment; blindness; loss of hearing; poor balance; incoordination; limitations of stamina; difficulties in moving head; reduced upper extremity function; reduced fine motor skill; loss of upper extremity skills; reduced spine and/or lower extremity function.
The “Autonomy” and “Purpose in life” subscales of the Psychological Wellbeing Questionnaire (PWQ)  were used. Life satisfaction was evaluated with item 1 of the Life Satisfaction Questionnaire (LiSat-11) . Depressive symptoms were assessed with the Geriatric Depression Scale (GDS-15) .
Aspects of housing
Objective housing was operationalized as the total number of physical environmental barriers according to the HE . Based on observation during home visits 161 environmental barriers in the home and the immediate outdoor environment were objectively assessed (present or absent) according to national standards for housing design.
Perceived aspects of housing were captured by three interview-administered instruments: the Usability in My Home Questionnaire (UIMH) , Meaning of Home Questionnaire (MOH)  and Housing-related Control Beliefs Questionnaire (HCQ) . The “Activity aspects” and “Physical environmental aspects” sub-scales of the UIMH were used, as were the “Behavioral” and “Emotional” sub-scales of the MOH. Meaning of home refers to how an individual reacts to and feels about his/her home, whereas external control in relation to the home means that “some other person, luck, chance or fate is perceived as explanatory factors for what happens” . In order to capture external housing control beliefs, the subscales “Powerful others” and “Chance” from the HCQ were combined as previously recommended .
Statistical methods and analysis
To study the association between aspects of health and housing, canonical correlation [30–32] was applied. This method is suitable for exploring relationships between two sets of variables, in order to identify combinations of variables in one of the sets that correlate with combinations of the variables in the other. Both sets of variables are treated equally without any assumptions of cause and effect between them.
The first step of the analysis identified the linear combinations of the variables in each of the two sets that maximise the correlation between them. These combinations are called the first pair of canonical variates, and the correlation between them is denoted the first canonical correlation. Thereafter a second pair of canonical variates, orthogonal to the first pair, was computed. More pairs of canonical variates were computed, but we report only those canonical variates that were statistically significant (P-values below 0.05).
For each variable and each significant pair of canonical variates the standardized coefficient and the loading are presented, and the sign of them shows the direction of the association. The loading is the correlation between a variable and the canonical variate; a higher loading (irrespective of the sign) means that the variable is more important. The cut-off used to identify essential variables is an absolute loading above 0.35 , corresponding to an explained variance of about 10 %. The use of standardized coefficients make variables measured in different units comparable. The reported square of the canonical correlation (canonical R2) represents the overlapping variance of the two canonical variates in a pair. We also present the amount of variance a canonical variate explain from its own set of variables, (computed as the sum of the squared loadings divided by the number of variables) and a redundancy measure, which describes the amount of variance a variate from one of the sets extracts from the other (redundancy = canonical R2 × the average of the squared loadings).
An exact sample size calculation for canonical correlation is infeasible to perform, but previous simulation studies indicate that the most important feature is the ratio between the number of individuals and the number of variables; they recommend that this ratio should be above 42 to interpret the first two pairs of canonical variates and at least around 20 to interpret only the first . We choose to include 12 variables (6 in each set), which corresponds to about 20 individuals per variable, see Tables 2 and 3. This is then considered enough to accurately interpret the largest (i.e., first) canonical correlation, while the remaining canonical correlations should be interpreted more carefully.
The statistical analysis was generated using SAS software, version 6.1 of the SAS Enterprise Guide (Copyright © 2013 SAS Institute Inc). SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of the SAS Institute Inc., Cary, NC, USA.
Canonical correlations: Relations of aspects of health and aspects of housing among people with PD, n = 231
First canonical variate
Second canonical variate
0.68, p < 0.0001
0.33, p = 0.0112
Aspects of health
Loadings / stnd.can.coeff.
Loadings / stnd.can.coeff.
Functional limitations (HE)b
0.79 / 0.32
0.21 / 0.45
Activities of Daily Living (PADLS)b
0.84 / 0.45
−0.05 / −0.26
Depressive symptoms (GDS-15)b
0.65 / 0.14
−0.12 / −0.08
−0.53 / −0.23
0.10 / 0.03
Purpose in life (PWQ)a
−0.56 / −0.14
−0.50 / −0.80
Life satisfaction (LiSat-11)a
−0.59 / −0.14
0.56 / 0.86
Percent of variance (average of squared loadings)
Aspects of housing
Physical environmental barriers (HE)b
−0.19 / −0.29
−0.21 / −0.17
Usability- Activity aspects (UIMH)a
−0.49 / −0.16
0.37 / 0.23
Usability- Physical environmental aspects (UIMH)a
−0.58 / −0.16
0.38 / 0.05
Meaning of home- Behavioral aspects (MOH)c
−0.72 / −0.55
0.51 / 0.17
Meaning of home- Cognitive emotional aspects (MOH)c
−0.28 / 0.16
0.82 / 0.68
External housing related control beliefs (HCQ)d
0.77 / 0.54
0.39 / 0.55
Percent of variance (average of squared loadings)
For the first pair of variates the canonical R2 was 0.46. In the health variable set the separate loadings showed that ADL difficulties/dependence (PADLS) and functional limitations (personal component of HE) contributed the most, but all variables loaded above the 0.35 cut-off. ADL difficulties/dependence and functional limitations tended to have higher standardized canonical coefficients while depressive symptoms (GDS-15), autonomy and purpose of life (PWQ) and life satisfaction (item 1, LiSat-11) scored lower in this respect. This indicates an internal correlation between these four variables and functional limitations and/or the ADL variable. In the housing set, the variables with the strongest loadings were external control beliefs (HCQ) and behavioral aspects of meaning of home (MOH). In addition to having lower loadings, the two usability subscales (UIMH) scored lower also in terms of standardized canonical coefficients. Physical environmental barriers (environmental component of HE) and cognitive emotional aspects of meaning of home (MOH) did not reach the 0.35 cut-off value for loadings. To summarize, difficulties/dependence in ADL and having more functional limitations related to perceived aspects of housing in terms of higher external control and lower perceived meaning of home but not to the objective aspect physical environmental barriers.
Although a significant relationship was found for the second canonical correlation, the shared variance between the health and housing variates was considerably lower; R2 = 0.11. Among the health variables, life satisfaction and purpose in life had the highest loadings and were the only variables that exceeded the cut-off value. Loadings > 0.35 were seen for all the perceived aspects of housing variables but not for the objective aspect (physical environmental barriers). The two variables with the highest loadings were cognitive-emotional and behavioral aspects of meaning of home, where the former showed the highest standardized coefficient.
The main contribution of this study is the demonstration of patterns of relationships between health and housing among people with PD, showing that there is a significant relationship between aspects of health and perceived aspects of housing. The results show that external control beliefs and behavioral aspects of meaning of home contribute the most to the housing variate, whereas ADL difficulties/dependence and functional limitations contribute the most to the health variate. The first canonical correlation suggests that participants that have difficulties/dependence in ADL and have more functional limitations tend to rely on external influences managing their housing situation and perceive their homes as less meaningful from a behavioral perspective. To the best of our knowledge, this is the first study that elucidates this kind of relations in this sub-group of the ageing population, and in a detailed manner. Thus, the study adds to the understanding of the complex dynamics of health and housing among people ageing with a chronic and progressive disease.
Some of the present findings are in line with the results of Oswald et al. , but there are also differences. Regarding similarities, difficulties and dependence in ADL was among the variables that contributed the most to the variate in the health variable set in both studies. Given the well-known fact that ADL dependence increases with age , this was an expected finding when studying general population samples of very old people (Oswald et al. ). That ADL played an important role also in the present study is not surprising either since ADL is affected early on after having received a PD-diagnosis and in mild PD-stages [10, 11]. In a nursing home setting, people with PD have also shown a faster rate of functional decline than other residents . That difficulties and dependence in ADL as well as functional limitations contribute the most to the health variate in both studies underlines the importance of addressing these aspects in general population samples of very old people as well as among people with PD.
Another similarity between the present study and the one by Oswald et al.  is that an objective aspect of housing such as the total number of physical environmental barriers did not contribute significantly to the housing variable set. The fact that perceived aspects of housing did contribute may be of importance for the development of person-centered care in the home setting. This facet of our results suggests that perceived aspects of housing should be considered when targeting housing issues in PD-care and rehabilitation. This is important as in current practices mainly objective aspects of housing are in focus.
Discussing the findings on perceived aspects of housing in more detail, external housing related control beliefs showed the highest loading within the housing variate which indicates that this aspect is specifically important among people with PD. Control beliefs are related to self-efficacy , and general self-efficacy has been shown to significantly relate to the severity of PD . Those in the most advanced stages of PD (i.e., Hoehn and Yahr IV–V) reported significantly lower general self-efficacy than those in milder disease stages . However, longitudinal studies are lacking concerning control beliefs as well as general self-efficacy in people ageing with PD; such studies are needed in order to fully understand these relationships. That external housing related control beliefs showed the highest loading is in fact in contrast to the results by Oswald et al. , where instead behavioral aspects of meaning of home contributed the most to the housing variate, consistently in five national contexts . Although behavioral aspects of meaning home play a role also among people with PD, the discrepancy might suggest that people ageing with a chronic and progressive neurodegenerative disorder such as PD rely more on external control in relation to housing. That is, this finding indicates that people with PD are more dependent on others when it comes to housing issues. Caregivers of people with PD have furthermore identified depleted informal or formal support as one of the triggers for long-term care placement decisions . Moreover, caregiver burden increases with increased severity of PD especially in the presence of mental health problems (e.g., depression, hallucinations) and falls . If an ADL-dependent person with PD is living in ordinary housing and expresses high housing related control beliefs, it might be of importance to also provide support for the family and caregivers.
Overall in health care and social service practices, interventions related to housing are based on approaches not sufficiently underpinned by scientific evidence. The present findings suggest that people with PD perceive their homes as less meaningful from a behavioral perspective, which points to the need for more awareness of early signs of such associations. In practice, this implies that professionals should be attentive to how people with PD reason regarding meaning of home and whether this changes along the course of the disease. As people age the home becomes more important, and the process of residential reasoning  should be supported to help people arrive at well informed choices and decisions regarding individual housing adaptation or a potential move. Most such counselling is based mainly on considerations of physical functioning, while the results of the present study indicate that also perceived aspects of housing are important. Accordingly, the professionals involved should be more attentive also to such aspects and the fact that they are related to health. Ageing research on housing and health dynamics underscores the need to develop more efficient housing counseling services to help older people deal with ambivalence, fears, worries, and practical considerations about their housing situation . The present study contributes to the development of such knowledge for people ageing with a specific diagnose such as PD.
Some methodological considerations need to be acknowledged. We used canonical correlations with data that to a major extent were ordinal and not all variables did actually fulfil the normal distribution criterion. Still, in the absence of non-parametric alternatives to study correlation between sets of variables, the use of canonical correlation made it possible to study a complexity otherwise left unexplored. As a sensitivity analysis, we dichotomized the variables that did not fulfil the normal distribution criterion and the results did not change (data available on request). Accordingly, we consider the results presented as valid. Although inspired by the study by Oswald et al. , we did not include identical variables or used identical instruments in all instances. For example, we do not have data on positive and negative affect in the database used and ADL was not assessed in an identical manner. Moreover, housing satisfaction was not included in the present study due to lack of variance and a very prominent ceiling effect (77 % scored at maximum, data available on request). Moreover, it should be noted that Oswald et al.  found that the magnitude of accessibility problems (total score of HE) was of importance. However, as assessed with the HE accessibility problems is a function of the profile of functional limitations of the individual and the physical environmental barriers present in the dwelling and the closest exterior surroundings . Since recent research has shown that functional limitations contribute the most to the magnitude of accessibility problems , despite that we have access to the variable accessibility problems it was not included in our analyses. That is, for conceptual stringency and to avoid overlap between the two sets of variables used in the canonical correlation we considered it more valid to include the number of functional limitations in the health variable set and number of physical environmental barriers in the housing variable set.
When studying associations between different health and housing variables it is obvious that the result depends on the variables included. While not specifically addressed in the present study, it might be that cognitive status, in itself or indirectly via other health variables, might influence perceived housing. As cognition is known to be affected in PD, this is a topic that deserves attention in future studies. Moreover, the challenge of understanding whether motor symptoms and/or cognitive status are the source for ADL difficulties in people with PD was recently highlighted . It should be noted that several additional health variables may play a role in PD, such as low self-efficacy, PD-specific motor features and additional non-motor symptoms besides depression. However, the present sample size did not allow for including more variables when using canonical correlations. Importantly, although the second canonical variate was significant, it should be interpreted with caution due to the small sample size and small degree of explained variance.
This study suggests that people with PD who have more functional limitations, difficulties and dependence in ADL perceive their homes as less meaningful from a behavioral perspective and tend to rely on external influences managing their housing situation. The results indicate that there might be differences between people with PD as compared to general population samples, but more research is certainly needed to deepen the knowledge in this new area of inquiry. This kind of knowledge poses health care and social services professionals in a better position to efficiently address problems related to housing and health among people with PD.
We acknowledge reg. nurses Jan Reimer, Susanne Lindskov and Eva Aronsson who were involved in the selection of participants, and reg. occupational therapists Malin Mejstad and Maya Kylén for the data collection effort.
The project was financed by the strategic research area for neuroscience at Lund University (MultiPark) as well as the Greta and Johan Kock Foundation, Sweden, the Swedish Association of Persons with Neurological Disabilities (NHR), the Norrbacka-Eugenia Foundation and the Ribbingska Foundation in Lund, Sweden. The project is accomplished within the context of the Centre for Ageing and Supportive Environments (CASE) at Lund University, financed by the Swedish Council for Working Life, Public Health and Welfare (Forte).
Availability of data and materials
According to current national legislation, the Ethical Review Boards in Sweden do not allow public sharing of sensitive personal data. Personal data include all kinds of information that is directly or indirectly referable to a person who is alive. Particularly stringent rules apply to the processing of sensitive personal data – e.g., health variables. The Personal Data Act (1998:204) aims to prevent the violation of personal integrity in the processing of personal data. These rules also apply to the transfer of personal data to other countries.
In accordance with the Personal Data Act, Lund University (Lund, Sweden) is responsible for the raw data used for the present study. Any researcher wishing to scrutinize the raw data used has the possibility of contacting the first author (MN) to receive guidance on how to conduct a secrecy examination.
MHN and SI conceived the idea of the study; MHN drafted the initial manuscript. All authors (MHN, SU, HE, SI) participated in the design of the study. SU performed the statistical analysis. In an iterative process all authors provided input on the draft of the manuscript, and they all read and approved the final manuscript.
In terms of financial interests, S. Iwarsson is a copyright holder and owner 7of the Housing Enabler (HE) instrument, provided as a commercial product (see http://www.enabler.nu/). The other authors have no competing interests.
Consent for publication
Ethics approval and consent to participate
The project was approved by the Regional Ethical Review Board in Lund, Sweden (No. 2012/558), and written informed consent was obtained from all participants.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Chatterji S, Byles J, Cutler D, Seeman T, Verdes E. Health, functioning, and disability in older adults--present status and future implications. Lancet. 2015;385(9967):563–75.View ArticlePubMedGoogle Scholar
- Beard JR, Bloom DE. Towards a comprehensive public health response to population ageing. Lancet. 2015;385(9968):658–61.View ArticlePubMedGoogle Scholar
- Freedman VA, Spillman BC. The residential continuum from home to nursing home: size, characteristics and unmet needs of older adults. J Gerontol Ser B Psychol Sci Soc Sci. 2014;69 Suppl 1:S42–50.View ArticleGoogle Scholar
- Lawton MP, Nahemow L. Ecology and the ageing process. In: Eisdorfer C, Lawton M, editors. The psychology of adult development and ageing. Washington, DC: American Psychological Association; 1973. p. 619–74.View ArticleGoogle Scholar
- Scheidt RJ, Norris-Baker C, Wahl H-W, Scheidt RJ, Windley PG. The general ecological model revisited: Evolution, current status, continuing challenges. In: Aging in context: socio-physical environments (Annual Review of Gerontology and Geriatrics, vol. 23. New York: Springer; 2003. p. 34–58.Google Scholar
- Iwarsson S, Wahl HW, Nygren C, Oswald F, Sixsmith A, Sixsmith J, Szeman Z, Tomsone S. Importance of the home environment for healthy aging: conceptual and methodological background of the European ENABLE-AGE Project. The Gerontologist. 2007;47(1):78–84.View ArticlePubMedGoogle Scholar
- Scheidt RJ, Windley PG. Environmental gerontology: progress in the post Lawton era. In: Birren JE, Schaie KW, editors. Handbook of the psychology of ageing. 6th ed. Amsterdam: Elsevier; 2006. p. 105–25.View ArticleGoogle Scholar
- Oswald F, Wahl HW, Schilling O, Nygren C, Fange A, Sixsmith A, Sixsmith J, Szeman Z, Tomsone S, Iwarsson S. Relationships between housing and healthy aging in very old age. The Gerontologist. 2007;47(1):96–107.View ArticlePubMedGoogle Scholar
- Oswald F, Schilling O, Wahl HW, Fänge A, Sixsmith J, Iwarsson S. Homeward bound: introducing a four-domain model of perceived housing in very old age. J Environ Psychol. 2006;26:187–201.View ArticleGoogle Scholar
- Hariz GM, Forsgren L. Activities of daily living and quality of life in persons with newly diagnosed Parkinson’s disease according to subtype of disease, and in comparison to healthy controls. Acta Neurol Scand. 2011;123(1):20–7.View ArticlePubMedGoogle Scholar
- Shulman LM, Gruber-Baldini AL, Anderson KE, Vaughan CG, Reich SG, Fishman PS, Weiner WJ. The evolution of disability in Parkinson disease. Mov Disord. 2008;23(6):790–6.View ArticlePubMedGoogle Scholar
- Vossius C, Nilsen OB, Larsen JP. Parkinson’s disease and nursing home placement: the economic impact of the need for care. Eur J Neurol. 2009;16(2):194–200.View ArticlePubMedGoogle Scholar
- Hely MA, Morris JG, Traficante R, Reid WG, O’Sullivan DJ, Williamson PM. The sydney multicentre study of Parkinson’s disease: progression and mortality at 10 years. J Neurol Neurosurg Psychiatry. 1999;67(3):300–7.View ArticlePubMedPubMed CentralGoogle Scholar
- Nilsson MH, Haak M, Iwarsson S. Housing and health: very old people with self-reported Parkinson’s disease versus controls. Parkinsons Dis. 2013;2013:710839.PubMedPubMed CentralGoogle Scholar
- Slaug B, Nilsson MH, Iwarsson S. Characteristics of the personal and environmental components of person-environment fit in very old age: a comparison between people with self-reported Parkinson’s disease and matched controls. Aging Clin Exp Res. 2013;25(6):667–75.View ArticlePubMedGoogle Scholar
- Fitzsimmons PR, Blayney S, Mina-Corkill S, Scott GO. Older participants are frequently excluded from Parkinson’s disease research. Parkinsonism Relat Disord. 2012;18(5):585–9.View ArticlePubMedGoogle Scholar
- Nilsson MH, Iwarsson S. Home and health in people ageing with Parkinson’s disease: study protocol for a prospective longitudinal cohort survey study. BMC Neurol. 2013;13:142.View ArticlePubMedPubMed CentralGoogle Scholar
- Hoehn MM, Yahr MD. Parkinsonism: onset, progression and mortality. Neurology. 1967;17(5):427–42.View ArticlePubMedGoogle Scholar
- Fahn S, Elton R, et al. Unified Parkinson’s disease rating scale. In: Fahn S, Marsden CD, Calne D, Goldstein M, editors. Recent developments in Parkinson’s disease, vol. 2. Florham Park: MacMillan Healthcare Information; 1987. p. 153–63. 293-304.Google Scholar
- Chaudhuri KR, Martinez-Martin P, Schapira AH, Stocchi F, Sethi K, Odin P, Brown RG, Koller W, Barone P, MacPhee G, et al. International multicenter pilot study of the first comprehensive self-completed nonmotor symptoms questionnaire for Parkinson's disease: the NMSQuest study. Mov Disord. 2006;21(7):916–23.View ArticlePubMedGoogle Scholar
- Nasreddine Z, Phillips N, Bedirian V, Charbonneau S, Whitehead V, Collin I. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9.View ArticlePubMedGoogle Scholar
- Hobson JP, Edwards NI, Meara RJ. The Parkinson's Disease Activities of Daily Living Scale: a new simple and brief subjective measure of disability in Parkinson's disease. Clin Rehabil. 2001;15(3):241–6.View ArticlePubMedGoogle Scholar
- Iwarsson S, Slaug B. Housing Enabler - A Method for rating/screening and analysing accessibility problems in housing. 2nd revised ed. Lund & Staffanstorp, Sweden: Veten & Skapen HB & Slaug Enabling Development; 2010. (www.enabler.nu)
- Ryff CD. Happiness is everything, or is it? Explorations on the meaning of psychological well-being. J Pers Soc Psychol. 1989;57:1069–81.View ArticleGoogle Scholar
- Fugl-Meyer AR, Melin R, Fugl-Meyer KS. Life satisfaction in 18- to 64-year-old Swedes: in relation to gender, age, partner and immigrant status. J Rehabil Med. 2002;34:239–46.View ArticlePubMedGoogle Scholar
- Sheikh J, Yesavage J. Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. In: Brink TL, editor. Clinical gerontology: a guide to assessment and intervention. New York: Haworth Press; 1986. p. 165–73.Google Scholar
- Fange A, Iwarsson S. Physical housing environment: development of a self-assessment instrument. Can J Occup Ther. 1999;66(5):250–60.View ArticlePubMedGoogle Scholar
- Oswald F, Wahl H-W, Martin M, Mollenkopf H. Toward measuring proactivity in person-environment transactions in late adulthood: the housing-related Control Beliefs Questionnaire. J Hous Elderly. 2003;17:135–55.View ArticleGoogle Scholar
- Nygren C, Oswald F, Iwarsson S, Fange A, Sixsmith J, Schilling O, Sixsmith A, Szeman Z, Tomsone S, Wahl HW. Relationships between objective and perceived housing in very old age. The Gerontologist. 2007;47(1):85–95.View ArticlePubMedGoogle Scholar
- Johnson RA, Wichern Dean W. Applied multivariate statistics. 5th ed. Upper Saddle River: Prentice-Hall Inc; 2002.Google Scholar
- Stevens JP. Applied multivariate statistics for the social sciences. 4th ed. Mahwah: Lawrence Erlbaum Associates; 2002.Google Scholar
- Tabachnik BG, Fidell LS. Using multivariate statistics. 5th ed. Boston: Pearson Education Inc; 2007.Google Scholar
- Mitchell SL, Kiely DK, Kiel DP, Lipsitz LA. The epidemiology, clinical characteristics, and natural history of older nursing home residents with a diagnosis of Parkinson's disease. J Am Geriatr Soc. 1996;44(4):394–9.View ArticlePubMedGoogle Scholar
- Bandura A. Self-efficacy: the exercise of control. New York: W.H. Freeman and Company; 1997.Google Scholar
- Nilsson MH, Hagell P, Iwarsson S. Psychometric properties of the General Self-Efficacy Scale in Parkinson's disease. Acta Neurol Scand. 2015;132:89–96.Google Scholar
- Abendroth M, Lutz BJ, Young ME. Family caregivers' decision process to institutionalize persons with Parkinson's disease: a grounded theory study. Int J Nurs Stud. 2012;49(4):445–54.View ArticlePubMedGoogle Scholar
- Schrag A, Hovris A, Morley D, Quinn N, Jahanshahi M. Caregiver-burden in parkinson's disease is closely associated with psychiatric symptoms, falls, and disability. Parkinsonism Relat Disord. 2006;12(1):35–41.View ArticlePubMedGoogle Scholar
- Granbom M, Himmelsbach I, Haak M, Lofqvist C, Oswald F, Iwarsson S. Residential normalcy and environmental experiences of very old people: changes in residential reasoning over time. J Aging Stud. 2014;29:9–19.View ArticlePubMedGoogle Scholar
- Iwarsson S, Löfqvist C, Oswald F, Wahl H-W, Slaug B, Schmidt S, Tomsone S, Himmelsbach I, Haak M. Synthesizing ENABLE-AGE research findings to suggest evidence-based home and health interventions. J Hous Elder. 2016;30(3). doi:10.1080/02763893.2016.1198742.
- Benge JF, Balsis S. Informant perceptions of the cause of activities of daily living difficulties in Parkinson's disease. Clin Neuropsychol. 2016;30(1):82–94.View ArticlePubMedGoogle Scholar