| Title |
“Married with children” the influence of significant others in TTO exercises
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, July 2015
|
| DOI | 10.1186/s12955-015-0276-7 |
| Pubmed ID | |
| Authors |
F.E. van Nooten, N.J.A. van Exel, X. Koolman, W.B.F. Brouwer |
| Abstract |
Which responder characteristics influence TTO scores remains underexplored. More research is needed in order to understand (differences in) TTO scores, but also in the context of generating representative health state valuations for some population. Previous studies have found age, gender, marital status and subjective life expectancy to influence the number of years traded off. This study aimed to investigate which other responder characteristics influence TTO responses, with an emphasis on consideration of significant others, such as partners and children. We performed a web-based survey in a representative sample of the Dutch general public (aged 18-65). Data on demographics, health status and expectations about future length and quality of life were gathered. Respondents valued three distinct health states using TTO. A total of 1067 respondents completed the questionnaire. Sixty percent of respondents had children and 49 % were married. The mean number of years traded off increased with severity of health states. Higher age and living together were positively associated with number of years traded off. Increases in subjective life expectancy, having children and being male (were negatively associated with the number of years traded-off. Age, gender and subjective life expectancy, living together and having children were significantly associated with TTO responses. Consideration of significant others in TTO exercises thus may be important in understanding (differences in) TTO responses and when drawing representative samples from the general public. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 24% |
| Student > Ph. D. Student | 3 | 12% |
| Researcher | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Student > Bachelor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 12% |
| Economics, Econometrics and Finance | 3 | 12% |
| Social Sciences | 2 | 8% |
| Arts and Humanities | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 12 | 48% |
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 02 July 2015.
All research outputs
#15,339,713
of 22,816,807 outputs
Outputs from Health and Quality of Life Outcomes
#1,305
of 2,159 outputs
Outputs of similar age
#154,016
of 263,464 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#30
of 62 outputs
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