Evidence for the Validity of the Short-form 36 Questionnaire (SF-36) in an Elderly Population

Lyons, Ronan A.; Perry, Horace M.; Littlepage, B. N. C.

doi:10.1093/ageing/23.3.182

Cited by 341 publications

(206 citation statements)

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“…The positive ESs imply that involvement in athletics may benefit overall health status, yet the small magnitude of the differences suggests that normative values for HRQOL in a nonathletic cohort may be a suitable reference for athletic cohorts, contrary to what has been previously thought. [42][43][44] The statistical differences detected could have been confounded by the sample size; in other words, the actual difference between the athletes and nonathletes, or the overall effect, was weak. Therefore, HRQOL differences may not occur between athletes and nonathletes, suggesting that, until we have additional evidence, using normative values appears to be acceptable.…”

Section: Discussion Study Quality Assessmentmentioning

confidence: 99%

Health-Related Quality of Life in Athletes: A Systematic Review With Meta-Analysis

Houston

Hoch

2016

Journal of Athletic Training

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Context: Assessment of health-related quality of life (HRQOL) after injury is important. Differences in HRQOL between nonathletes and athletes and between injured and uninjured athletes have been demonstrated; however, the evidence has not been synthesized.Objective: To answer the following questions: (1) Does HRQOL differ among adolescent and collegiate athletes and nonathletes? (2) Does HRQOL differ between injured adolescent and collegiate athletes or between athletes with a history of injury and uninjured athletes or those without a history of injury?Data Sources: We systematically searched CINAHL, MED-LINE, SPORTDiscus, and PubMed. A hand search of references was also conducted.Study Selection: Studies were included if they used generic instruments to compare HRQOL outcomes between athletes and nonathletes and between uninjured and injured athletes. Studies were excluded if they did not use a generic instrument, pertained to instrument development, or included retired athletes or athletes with a chronic disease.Data Extraction:We assessed study quality using the modified Downs and Black Index Tool. Bias-corrected Hedges g effect sizes and 95% confidence intervals (CIs) were calculated.The Strength of Recommendation Taxonomy (SORT) was used to determine the overall strength of the recommendation. A random-effects meta-analysis was performed for all studies using the composite or total score.Data Synthesis: Eight studies with modified Downs and Black scores ranging from 70.6% to 88.4% were included. For question 1, the overall random-effects meta-analysis was weak (effect size ¼ 0.27, 95% confidence interval ¼ 0.14, 0.40; P , .001). For question 2, the overall random-effects meta-analysis was moderate (effect size ¼ 0.68, 95% confidence interval ¼ 0.42, 0.95; P , .001).Conclusions: Grade A evidence indicates that athletes reported better HRQOL than nonathletes and that uninjured athletes reported better HRQOL than injured athletes. However, the overall effect for question 1 was weak, suggesting that the differences between athletes and nonathletes may not be clinically meaningful. Clinicians should monitor HRQOL after injury to ensure that all dimensions of health are appropriately treated.Key Words: patient-centered care, patient outcomes, athletic injuries Key PointsHealth-related quality of life (HRQOL) assessed via generic instruments was better in athletes than in nonathletes, but the differences were small and may not be clinically meaningful. Athletes without a history of injury reported better HRQOL on generic instruments than did injured athletes. To ensure that all health dimensions are being properly assessed and treated, clinicians should monitor patients' HRQOL throughout treatment and perhaps after return to play. Given these differences on generic instruments, it will be prudent to investigate the use of region-specific and dimension-specific instruments in assessing HRQOL. P articipation in interscholastic and intercollegiate athletics has increased roughly 34% since 1980 and 15% over the past...

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Section: Discussion Study Quality Assessmentmentioning

confidence: 99%

Health-Related Quality of Life in Athletes: A Systematic Review With Meta-Analysis

Houston

Hoch

2016

Journal of Athletic Training

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“…SF36 is considered an appropriate scale to measure quality of life, as suggested by Cella & Tulsky (1990), because it assesses more than one aspect related with quality of life and measures daily activities. Lyons et al (1994) stated that SF36 is an instrument that can be used to interview elderly people with different mental status [17][18][19][20] . The instrument used to measure vocal impairment (VHI), according to Jacobson et al (1997), is designed to measure the effects of social and psychological damage of vocal affections.…”

Section: Discussionmentioning

confidence: 99%

O impacto da voz na qualidade da vida da mulher idosa

Costa¹,

Matias

2005

Rev. Bras. Otorrinolaringol.

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Al though there are several investigations focusing the physiology and anatomy of voice and the senior's larynx, little has been produced to support the knowledge of the impact of vocal conditions on quality of life of this portion of the population. Aim: To verify the impact of voice on quality of the life of elderly women, using the questionnaires Short-Form Health Survey -SF36 and Voice Handicap Index (VHI). Study Design: Prospective transversal cohort study. Method and Material: Fifty senior women participated in this research, with ages between 60 and 87 years and mean age of 70.8 years old, randomly recruited. The participants of the study were submitted to two questionnaires: SF36 and VHI. The answers of both questionnaires were compared by Kruskall-Wallis test, verifying if there were significant differences among the variables. The test of Spearman was used to evaluate if there was correlation among the results of the variables of VHI and the results obtained in the parameter of SF36 for life quality. Results: We obtained values considered statistically significant in the correlations among physical domain of VHI and physical operation, physical pain and physical role in life of SF36. Conclusion: There was a significant and positive correlation among the results obtained in the parameters physical operation, vitality, general health, mental health, corporal pain and physical role in life of SF36. There were statistically significant and negative correlations among the total results obtained in SF36 and VHI.

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“…Higher scores indicate better functioning (range = 0 -100). In an elderly population (aged 65 and older), evidence for construct validity was good with the SF-36 distinguishing between those with and without markers of poorer health (Lyons et al, 1994). We used the PCS and MCS scale scores as the primary outcomes in this study.…”

Section: Methodsmentioning

confidence: 99%

Social‐cognitive correlates of adjustment to prostate cancer

2005

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SUMMARYThis study examined whether social support might enhance health-related quality of life in men (n = 89) treated for localized prostate cancer by improving their ability to cognitively process their cancer experience. Data were collected using two, structured in-person interviews and abstracting medical records. The baseline interview was within several months (T1) after treatment for cancer, and follow-up was 3 months later (T2). Most men (61.8%) were treated by radical prostatectomy. Results showed that T1 social support was positively related to T2 mental functioning, and this relation appeared to be mediated by T1 indicators of cognitively processing, intrusive thoughts and searching for meaning. These findings suggest that supportive social relations may improve mental functioning by helping men cognitively process their prostate cancer experience.

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Evidence for the Validity of the Short-form 36 Questionnaire (SF-36) in an Elderly Population

Cited by 341 publications

References 0 publications

Health-Related Quality of Life in Athletes: A Systematic Review With Meta-Analysis

Health-Related Quality of Life in Athletes: A Systematic Review With Meta-Analysis

O impacto da voz na qualidade da vida da mulher idosa

Social‐cognitive correlates of adjustment to prostate cancer

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