| Title |
The association between indicators of health and housing in people with Parkinson’s disease
|
|---|---|
| Published in |
BMC Geriatrics, July 2016
|
| DOI | 10.1186/s12877-016-0319-x |
| Pubmed ID | |
| Authors |
Maria H. Nilsson, Susann Ullén, Henrik Ekström, Susanne Iwarsson |
| Abstract |
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 R(2) 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; R(2) = 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 13% |
| Student > Doctoral Student | 6 | 13% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 20 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 17% |
| Psychology | 5 | 10% |
| Neuroscience | 4 | 8% |
| Nursing and Health Professions | 3 | 6% |
| Social Sciences | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 21 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2016.
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#22,104,010
of 24,664,952 outputs
Outputs from BMC Geriatrics
#3,226
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Outputs of similar age
#331,102
of 373,552 outputs
Outputs of similar age from BMC Geriatrics
#30
of 30 outputs
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