ub.xmlui.mirage2.page-structure.muninLogoub.xmlui.mirage2.page-structure.openResearchArchiveLogo
    • EnglishEnglish
    • norsknorsk
  • Velg spraaknorsk 
    • EnglishEnglish
    • norsknorsk
  • Administrasjon/UB
Vis innførsel 
  •   Hjem
  • Det helsevitenskapelige fakultet
  • Institutt for samfunnsmedisin
  • Artikler, rapporter og annet (samfunnsmedisin)
  • Vis innførsel
  •   Hjem
  • Det helsevitenskapelige fakultet
  • Institutt for samfunnsmedisin
  • Artikler, rapporter og annet (samfunnsmedisin)
  • Vis innførsel
JavaScript is disabled for your browser. Some features of this site may not work without it.

Burden of hip fracture using disability-adjusted life-years: a pooled analysis of prospective cohorts in the CHANCES consortium

Permanent lenke
https://hdl.handle.net/10037/13698
DOI
https://doi.org/10.1016/S2468-2667(17)30046-4
Thumbnail
Åpne
article.pdf (116.8Kb)
Publisher's version (PDF)
Dato
2017-04-11
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Forfatter
Papadimitriou, Nikos; Tsilidis, Konstantinos K.; Orfanos, Philippos; Benetou, Vassiliki; Ntzani, Evangelia E.; Soerjomataram, Isabelle; Künn-Nelen, Annemarie; Pettersson-Kymmer, Ulrika; Eriksson, Sture; Brenner, Hermann; Schöttker, Ben; Saum, Kai-Uwe; Holleczek, Bernd; Grodstein, Francine D.; Feskanich, Diane; Orsini, Nicola; Wolk, Alicja; Bellavia, Andrea; Wilsgaard, Tom; Jørgensen, Lone; Boffetta, Paolo; Trichopoulos, Dimitrios; Trichopoulou, Antonia
Sammendrag

Background: No studies have estimated disability-adjusted life-years (DALYs) lost due to hip fractures using real-life follow-up cohort data. We aimed to quantify the burden of disease due to incident hip fracture using DALYs in prospective cohorts in the CHANCES consortium, and to calculate population attributable fractions based on DALYs for specific risk factors.

Methods: We used data from six cohorts of participants aged 50 years or older at recruitment to calculate DALYs. We applied disability weights proposed by the National Osteoporosis Foundation and did a series of sensitivity analyses to examine the robustness of DALY estimates. We calculated population attributable fractions for smoking, body-mass index (BMI), physical activity, alcohol intake, type 2 diabetes and parity, use of hormone replacement therapy, and oral contraceptives in women. We calculated summary risk estimates across cohorts with pooled analysis and random-effects meta-analysis methods.

Findings: 223 880 men and women were followed up for a mean of 13 years (SD 6). 7724 (3·5%) participants developed an incident hip fracture, of whom 413 (5·3%) died as a result. 5964 DALYs (27 per 1000 individuals) were lost due to hip fractures, 1230 (20·6%) of which were in the group aged 75–79 years. 4150 (69·6%) DALYs were attributed to disability. Current smoking was the risk factor responsible for the greatest hip fracture burden (7·5%, 95% CI 5·2–9·7) followed by physical inactivity (5·5%, 2·1–8·5), history of diabetes (2·8%, 2·1–4·0), and low to average BMI (2·0%, 1·4–2·7), whereas low alcohol consumption (0·01–2·5 g per day) and high BMI had a protective effect.

Interpretation: Hip fracture can lead to a substantial loss of healthy life-years in elderly people. National public health policies should be strengthened to reduce hip fracture incidence and mortality. Primary prevention measures should be strengthened to prevent falls, and reduce smoking and a sedentary lifestyle.

Beskrivelse
Source at https://doi.org/10.1016/S2468-2667(17)30046-4.
Forlag
Elsevier
Sitering
Papadimitriou, N., Tsilidis, K.K., Orfanos, P., Benetou, V., Ntzani, E.E., Soerjomataram, I., ... Trichopoulou, A. (2017). Burden of hip fracture using disability-adjusted life-years: a pooled analysis of prospective cohorts in the CHANCES consortium. The Lancet Public Health, 2(5), e239-e246. https://doi.org/10.1016/S2468-2667(17)30046-4
Metadata
Vis full innførsel
Samlinger
  • Artikler, rapporter og annet (samfunnsmedisin) [1515]

Bla

Bla i hele MuninEnheter og samlingerForfatterlisteTittelDatoBla i denne samlingenForfatterlisteTittelDato
Logg inn

Statistikk

Antall visninger
UiT

Munin bygger på DSpace

UiT Norges Arktiske Universitet
Universitetsbiblioteket
uit.no/ub - munin@ub.uit.no

Tilgjengelighetserklæring