Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Incident Musculoskeletal Conditions Among Men and Women Veterans Returning From Deployment

Datos Bibliográficos

ID9103667
AutoresSally G Haskell (0000-0002-2888-2637, VA Connecticut Healthcare System, West Haven, autor de correspondencia), Cynthia Brandt (0000-0001-8179-1796, VA Connecticut Healthcare System, West Haven, autor de correspondencia), Lori A Bastian (0000-0003-2874-6405, VA Connecticut Healthcare System, autor de correspondencia), Lori Bastian (VA Connecticut Healthcare System, West Haven), Mary Driscoll (0000-0003-3492-0924, VA Connecticut Healthcare System, West Haven, autor de correspondencia), Harini Bathulapalli (0000-0002-2531-0238, VA Connecticut Healthcare System, West Haven, autor de correspondencia), James Dziura (0000-0001-8953-6183, Emergency Medicine, Yale School of Medicine)
Año2020
Volumen58
Número12
Páginas1082-1090
Fecha de publicación2020-12-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001403
PMID32925458
OpenAlexW3086020697
IdiomaEN
Citas recibidas1
Referencias citadas29

BACKGROUND: Military service confers an increased risk for musculoskeletal (MSK) injury among women and men Veterans. OBJECTIVE: The objective of this study was to determine the prevalence of MSK conditions at first visit to Veterans Affairs (VA), and the incidence rates of new MSK conditions in women and men Veterans with and without a baseline MSK condition. DESIGN: A cohort study including Veterans whose end of last deployment was between October 1, 2001 and October 1, 2015. SUBJECTS: A total of 765,465 Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn Veterans. MAIN OUTCOME MEASURES: Prevalent and incident MSK conditions identified through the International Classification of Diseases, ninth Revision, Clinical Modification diagnostic codes. RESULTS: Twenty-six percent of women and 29% of men present to the VA with a MSK condition. In those without an MSK diagnosis at baseline, the unadjusted rate of developing at least 1 MSK condition was 168 and 180 per 1000 person-year [hazard ratio (HR)=0.94; 95% confidence interval (CI)=0.92-0.95] in women and men. Women were more likely to develop newly diagnosed MSK conditions of the hip (HR=1.9; 95% CI=1.83-1.98) or the ankle/foot (HR=1.17; 95% CI=1.15-1.20) and less likely to develop MSK conditions of the upper extremity (HR=0.75; 95% CI=0.73-0.78), knee (HR=0.87; 95% CI=0.86-0.89), and spine (HR=0.94; 95% CI=0.93-0.96). In those with prevalent MSK conditions at baseline, the rate of developing a second MSK condition was higher in women than men (151 and 133/1000 person-year; HR=1.13; 95% CI=1.11-1.15). CONCLUSIONS: A high proportion of Veterans present to the VA with MSK conditions. Women are less likely to develop conditions related to the upper extremities, spine or knee, and more likely to have conditions of the hip or ankle/foot

Ankle · Cohort study · Confidence interval · Hazard ratio · Incidence (geometry) · Physical therapy · Veterans Affairs · Internal Medicine · Medicine · Musculoskeletal Disorders and Rehabilitation · Musculoskeletal pain and rehabilitation · Occupational Health and Performance · Surgery

  • Long-term mortality and hospitalisation among Italian veterans deployed to the Balkans

    Open Access•Roberta De Angelis, Silvia Rossi et al.•Frontiers in Public Health•2025

  • Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013

    Open Access•Theo Vos, Ryan M Barber et al.•The Lancet•2015

  • The Burden of Illness in the First Year Home

    Open Access•Sally G Haskell, Kristin Mattocks et al.•Women s Health Issues•2010

  • Sensitivity of an Aids Case-Finding Algorithm

    James Walkup, James T Walkup et al.•Medical Care•2004

Obras citantes distintas1
Citas por año1
Intervalo de citas2025 - 2025 (1)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 1
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae