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BMI Trends for Veterans Up to 10 Years After VA Enrollment Following Military Discharge.
Blalock, Dan V; Pura, John A; Stechuchak, Karen M; Dennis, Paul A; Maciejewski, Matthew L; Smith, Valerie A; Hung, Anna; Hoerster, Katherine D; Wong, Edwin S.
Affiliation
  • Blalock DV; Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, Durham, NC, USA.
  • Pura JA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
  • Stechuchak KM; Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, Durham, NC, USA.
  • Dennis PA; Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, Durham, NC, USA.
  • Maciejewski ML; Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, Durham, NC, USA.
  • Smith VA; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
  • Hung A; Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, Durham, NC, USA. matthew.maciejewski@va.gov.
  • Hoerster KD; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA. matthew.maciejewski@va.gov.
  • Wong ES; Duke-Margolis Center for Health Policy, Duke University, Durham, NC, USA. matthew.maciejewski@va.gov.
J Gen Intern Med ; 38(6): 1423-1430, 2023 05.
Article in En | MEDLINE | ID: mdl-36219304
ABSTRACT

BACKGROUND:

Obesity (body mass index [BMI]≥30kg/m2) among US adults has tripled over the past 45 years, but it is unclear how this population-level weight change has occurred.

OBJECTIVE:

We sought to identify distinct long-term BMI trajectories and examined associations with demographic and clinical characteristics.

DESIGN:

The design was latent trajectory modeling over 10 years of a retrospective cohort. Subgroups were identified via latent class growth mixture models, separately by sex. Weighted multinomial logistic regressions identified factors associated with subgroup membership.

PARTICIPANTS:

Participants were a retrospective cohort of 292,331 males and 62,898 females enrolled in VA. MAIN

MEASURES:

The main outcome measure was 6-month average VA-measured BMI over the course of 10 years. Additional electronic health record measures on demographic, clinical, and services utilization characteristics were also used to characterize latent trajectories. KEY

RESULTS:

Four trajectories were identified for men and for women, corresponding to standard BMI categories "normal weight" (BMI <25), "overweight" (BMI 25-29.99), and "with obesity" (BMI ≥30) "normal weight" and increasing (males 28.4%; females 22.8%), "overweight" and increasing (36.4%; 35.6%), "with obesity" and increasing (33.6%; 40.0%), and "with obesity" and stable (males 1.6%) or decreasing (females 1.6%). Race, ethnicity, comorbidities, mental health diagnoses, and mental health service utilization discriminated among classes.

CONCLUSIONS:

BMI in the 10 years following VA enrollment increased modestly. VA should continue prioritizing weight management interventions to the large number of veterans with obesity upon VA enrollment, because the majority remain with obesity.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Veterans Type of study: Prognostic_studies Limits: Adult / Female / Humans / Male Language: En Journal: J Gen Intern Med Journal subject: MEDICINA INTERNA Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Veterans Type of study: Prognostic_studies Limits: Adult / Female / Humans / Male Language: En Journal: J Gen Intern Med Journal subject: MEDICINA INTERNA Year: 2023 Document type: Article Affiliation country: