| Title |
Health-related quality of life among veterans in addictions treatment: identifying behavioral targets for future intervention
|
|---|---|
| Published in |
Quality of Life Research, February 2016
|
| DOI | 10.1007/s11136-016-1236-3 |
| Pubmed ID | |
| Authors |
Marily A. Oppezzo, Anne K. Michalek, Kevin Delucchi, Michael T. M. Baiocchi, Paul G. Barnett, Judith J. Prochaska |
| Abstract |
US veterans report lower health-related quality of life (HRQoL) relative to the general population. Identifying behavioral factors related to HRQoL that are malleable to change may inform interventions to improve well-being in this vulnerable group. The current study sought to characterize HRQoL in a largely male sample of veterans in addictions treatment, both in relation to US norms and in association with five recommended health behavior practices: regularly exercising, managing stress, having good sleep hygiene, consuming fruits and vegetables, and being tobacco free. We assessed HRQoL with 250 veterans in addictions treatment (96 % male, mean age 53, range 24-77) using scales from four validated measures. Data reduction methods identified two principal components reflecting physical and mental HRQoL. Model testing of HRQoL associations with health behaviors adjusted for relevant demographic and treatment-related covariates. Compared to US norms, the sample had lower HRQoL scores. Better psychological HRQoL was associated with higher subjective social standing, absence of pain or trauma, lower alcohol severity, and monotonically with the sum of health behaviors (all p < 0.05). Specifically, psychological HRQoL was associated with regular exercise, stress management, and sleep hygiene. Regular exercise also related to better physical HRQoL. The models explained >40 % of the variance in HRQoL. Exercise, sleep hygiene, and stress management are strongly associated with HRQoL among veterans in addictions treatment. Future research is needed to test the effect of interventions for improving well-being in this high-risk group. |
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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 13% |
| Student > Ph. D. Student | 10 | 10% |
| Researcher | 10 | 10% |
| Student > Master | 10 | 10% |
| Student > Doctoral Student | 8 | 8% |
| Other | 21 | 20% |
| Unknown | 32 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 20% |
| Medicine and Dentistry | 14 | 13% |
| Nursing and Health Professions | 10 | 10% |
| Social Sciences | 5 | 5% |
| Sports and Recreations | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 35 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 June 2016.
All research outputs
#14,837,567
of 22,849,304 outputs
Outputs from Quality of Life Research
#1,598
of 2,846 outputs
Outputs of similar age
#166,907
of 297,955 outputs
Outputs of similar age from Quality of Life Research
#26
of 50 outputs
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