| Title |
Lifestyle-related attitudes: do they explain self-rated health and life-satisfaction?
|
|---|---|
| Published in |
Quality of Life Research, January 2018
|
| DOI | 10.1007/s11136-017-1774-3 |
| Pubmed ID | |
| Authors |
A. Simon Pickard, Yash J. Jalundhwala, Helen Bewsher, Lisa K. Sharp, Surrey M. Walton, Glen T. Schumock, Rachel N. Caskey |
| Abstract |
Strategies to improve public health may benefit from targeting specific lifestyles associated with poor health behaviors and outcomes. The aim of this study was to characterize and examine the relationship between health and lifestyle-related attitudes (HLAs) and self-rated health and life-satisfaction. Secondary analyses were conducted on data from a 2012 community wellness survey in Kirklees, UK. Using a validated HLA tool, respondents (n = 9130) were categorized into five segments: health conscious realists (33%), balanced compensators (14%), live-for-todays (18%), hedonistic immortals (10%), and unconfident fatalists (25%). Multivariate regression was used to examine whether HLAs could explain self-rated health using the EQ-5D visual analog scale (EQ-VAS) and life-satisfaction. Health conscious realists served as the reference group. Self-rated health differed by HLA, with adjusted mean EQ-VAS scores being significantly higher (better) among balanced compensators (1.15, 95% CI 0.27, 2.03) and lower scores among unconfident fatalists (- 9.02, 95% CI - 9.85, - 8.21) and live-for-todays (- 1.96, 95% CI - 2.80, - 1.14). Balanced compensators were less likely to report low life-satisfaction (OR 0.75, 95% CI 0.62, 0.90), while unconfident fatalists were most likely to have low life-satisfaction (OR 3.51, 95% CI 2.92, 4.23). Segmentation by HLA explained differences in self-rated health and life-satisfaction, with unconfident fatalists being a distinct segment with significantly worse health perceptions and life-satisfaction. Health promotion efforts may benefit from considering the HLA segment that predominates a patient group, especially unconfident fatalists. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 18% |
| Student > Doctoral Student | 6 | 13% |
| Lecturer | 4 | 9% |
| Researcher | 4 | 9% |
| Professor | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 11 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 9 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 9% |
| Psychology | 4 | 9% |
| Medicine and Dentistry | 3 | 7% |
| Economics, Econometrics and Finance | 2 | 4% |
| Other | 8 | 18% |
| Unknown | 15 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 January 2018.
All research outputs
#13,225,036
of 23,015,156 outputs
Outputs from Quality of Life Research
#1,321
of 2,915 outputs
Outputs of similar age
#211,327
of 442,576 outputs
Outputs of similar age from Quality of Life Research
#28
of 74 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,915 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,576 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.