Literature DB >> 32681362

Fragility fractures and health-related quality of life: does socio-economic status widen the gap? A population-based study.

G Valentin1,2, K Friis3, C P Nielsen3, F B Larsen3, B L Langdahl4,5.   

Abstract

Studying 12,839 fracture cases and 91,426 controls, we found that fractures of the spine and hip are associated with clinically important HRQoL deficits up to 5 years post-fracture. Fracture cases with a low educational attainment are more likely to report very low HRQoL due to a low pre-fracture HRQoL.
INTRODUCTION: The aim of this study was to explore the short-term and long-term impact of fractures on health-related quality of life (HRQoL) and to study the effect of educational attainment as a proxy for socio-economic status (SES) on post-fracture HRQoL.
METHODS: In a population-based survey including 12,839 fracture cases and 91,426 controls, HRQoL was measured using the physical component score (PCS) and the mental component score (MCS) of the 12-Item Short Form Health Survey (SF-12). Information about fractures, age, sex, ethnicity, comorbidity and SES was obtained from national registers. Multiple regression analysis was conducted to measure the mean HRQoL difference, termed deficit, between non-fracture controls and fracture cases (all fractures combined and fractures at six different skeletal sites).
RESULTS: PCS and MCS were significantly lower among fracture cases than among controls. Statistically and clinically important PCS deficits (≥ 5 points) were observed among people with fractures of the spine and hip up to 5 years post-fracture and among people with upper arm fractures up to 1 year post-fracture. Greater deficits were observed for MCS but not for PCS in post-fracture HRQoL in the low than in the high SES group.
CONCLUSION: Fractures of the spine and hip are associated with clinically important deficits in physical HRQoL up to 5 years post-fracture. Low educational attainment widened the gap in mental but not in physical post-fracture HRQoL. However, due to low pre-fracture PCS and MCS, people with a low educational attainment and fractures were more likely to report very low HRQoL post-fracture.

Entities:  

Keywords:  Fractures; Health survey; Health-related quality of life; Inequality; Population-based study; Socio-economic status

Mesh:

Year:  2020        PMID: 32681362     DOI: 10.1007/s00198-020-05540-8

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  11 in total

1.  Imputation of SF-12 health scores for respondents with partially missing data.

Authors:  Honghu Liu; Ron D Hays; John L Adams; Wen-Pin Chen; Diana Tisnado; Carol M Mangione; Cheryl L Damberg; Katherine L Kahn
Journal:  Health Serv Res       Date:  2005-06       Impact factor: 3.402

Review 2.  A systematic review and meta-analysis of utility-based quality of life for osteoporosis-related conditions.

Authors:  L Si; T M Winzenberg; B de Graaff; A J Palmer
Journal:  Osteoporos Int       Date:  2014-02-22       Impact factor: 4.507

3.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

4.  Socio-economic inequalities in fragility fracture outcomes: a systematic review and meta-analysis of prognostic observational studies.

Authors:  G Valentin; S E Pedersen; R Christensen; K Friis; C P Nielsen; A Bhimjiyani; C L Gregson; B L Langdahl
Journal:  Osteoporos Int       Date:  2019-08-30       Impact factor: 4.507

Review 5.  Quality of life after hip fracture in the elderly: A systematic literature review.

Authors:  Charles M M Peeters; Eva Visser; Cornelis L P Van de Ree; Taco Gosens; Brenda L Den Oudsten; Jolanda De Vries
Journal:  Injury       Date:  2016-04-23       Impact factor: 2.586

6.  The Danish National Health Survey 2010. Study design and respondent characteristics.

Authors:  Anne Illemann Christensen; Ola Ekholm; Charlotte Glümer; Anne Helms Andreasen; Michael Falk Hvidberg; Peter Lund Kristensen; Finn Breinholt Larsen; Britta Ortiz; Knud Juel
Journal:  Scand J Public Health       Date:  2012-06       Impact factor: 3.021

7.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

Review 8.  Osteoporosis in the European Union: medical management, epidemiology and economic burden. A report prepared in collaboration with the International Osteoporosis Foundation (IOF) and the European Federation of Pharmaceutical Industry Associations (EFPIA).

Authors:  E Hernlund; A Svedbom; M Ivergård; J Compston; C Cooper; J Stenmark; E V McCloskey; B Jönsson; J A Kanis
Journal:  Arch Osteoporos       Date:  2013-10-11       Impact factor: 2.617

Review 9.  The Danish National Patient Registry: a review of content, data quality, and research potential.

Authors:  Morten Schmidt; Sigrun Alba Johannesdottir Schmidt; Jakob Lynge Sandegaard; Vera Ehrenstein; Lars Pedersen; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2015-11-17       Impact factor: 4.790

Review 10.  Quality of life and psychological consequences in elderly patients after a hip fracture: a review.

Authors:  Konstantinos I Alexiou; Andreas Roushias; Sokratis E Varitimidis; Konstantinos N Malizos
Journal:  Clin Interv Aging       Date:  2018-01-24       Impact factor: 4.458

View more
  1 in total

1.  Orthopaedic physiotherapists' perceptions of mechanisms for observed variation in the implementation of physiotherapy practices in the early postoperative phase after hip fracture: a UK qualitative study.

Authors:  Brittannia Volkmer; Euan Sadler; Kate Lambe; Finbarr C Martin; Salma Ayis; Lauren Beaupre; Ian D Cameron; Celia L Gregson; Antony Johansen; Morten Tange Kristensen; Jay Magaziner; Catherine Sackley; Toby O Smith; Boris Sobolev; Katie J Sheehan
Journal:  Age Ageing       Date:  2021-11-10       Impact factor: 10.668

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.