Military Generation and Its Relationship to Mortality in Women Veterans in the Women's Health Initiative

Trends in Cardiovascular Disease Mortality in US Women Veterans vs Civilians

Importance

Cardiovascular disease (CVD) remains the leading cause of death in the US. Women veterans have higher rates of CVD compared with civilian US women; however, analyses of recent trends in mortality from cardiac disease for women veterans are lacking.

Objective

To investigate trends in cardiac disease mortality among women veterans over approximately the past 2 decades and compare rates with those for civilian women.

Design, Setting, and Participants

In this retrospective longitudinal cohort study, US Veterans Health Administration (VHA) electronic health record data, linked with the National Death Index, were analyzed for CVD trends and rates of cardiac disease mortality among women veterans (aged 18 years or older) with VHA health care encounters from January 1, 2000, to December 31, 2017. These data were compared with a national cohort of civilian women (aged 15 years or older) in the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database, which provides cause-of-death data using death certificates for all US residents. The data analysis was performed between March 10, 2021, and November 28, 2022.

Exposure

Cardiac disease mortality among women veterans and civilian women.

Main Outcomes and Measures

Cardiac disease mortality was based on International Classification of Diseases, Tenth Revision diagnostic codes (I00-I09, I11, I13, and I20-I51 as defined by CDC WONDER). For women veterans and civilian women, crude and age-adjusted cardiac disease mortality rates (per 100 000 life-years) and 95% CIs were calculated, with the 2000 US general population as the reference for age-adjusted rates.

Results

From 2000 to 2017, 817 912 women veterans engaged with VHA health care (mean [SD] age, 45.7 [17.1] years), and 19 022 cardiac disease deaths were identified (22.4% of total deaths). The crude and age-adjusted cardiac disease mortality rates, respectively, per 100 000 life-years were 200.2 (95% CI, 181.0-221.0) and 197.6 (95% CI, 175.2-222.0) in 2000 and 196.0 (95% CI, 186.1-206.4) and 208.1 (95% CI, 196.4-220.4) in 2017, reflecting stable crude rates and a 5.3% increase in age-adjusted rates. For civilian women, the crude and age-adjusted rates decreased over time from 320.7 (95% CI, 319.7-321.8) and 268.1 (95% CI, 267.3-269.0) in 2000 to 220.9 (95% CI, 220.1-221.7) and 164.7 (95% CI, 164.1-165.3) in 2017.

Conclusions and Relevance

In this cohort study comparing women veterans and civilian women, cardiac disease mortality rates for women veterans did not exhibit the improvements seen for civilian women during the nearly 2-decade study period. Further research and actionable clinical interventions are warranted to improve cardiovascular care for women veterans, who represent the fastest growing group of patients within the VHA health care system.

Mortality of Women Vietnam War-Era Veterans

PURPOSE

Our objectives were to 1) understand the scope of the current mortality literature on U.S. women Vietnam War-era veterans and 2) identify major themes and knowledge gaps that might guide future research.

METHODS

A systematic scoping review was conducted. Electronic bibliographic databases were searched for studies published on women Vietnam War-era veterans' mortality between 1973 and 2020. Inclusion and exclusion criteria were applied, study information was charted using pre-established design parameters, and studies deemed eligible were retained for a more in-depth review.

FINDINGS

One hundred nineteen studies were initially identified. Of these, six were ultimately retained for critical review. External cause, all-cause, cancer, and cardiovascular mortality were prominent outcomes across studies. Although both methodology and outcomes varied by study, unifying themes emerged. Prominent themes included a) historic barriers to accurately identifying and classifying this veteran cohort, b) historic barriers to comprehensive assessment of their health and mortality risk, and c) the healthy soldier effect and its limitations. Research gaps identified in this review reflect a need to pay more attention to sex differences in mortality risk and military occupational and sex-specific health risk confounders in mortality models.

CONCLUSIONS

The research literature examining mortality among women Vietnam War-era veterans is circumscribed in size and scope. Questions about the roles of salient military occupational exposures and health risk factors on mortality risks and trends in this cohort remain unaddressed. These questions should be areas of focus in next steps research.

Preconception Health Risk Factors in Women with and without a History of Military Service

INTRODUCTION

Given the increasing number of women service members and veterans of childbearing age, it is important to understand the preconception risks in this potentially vulnerable population. This study compared the prevalence of modifiable preconception risk factors among women with and without a history of service.

METHODS

Analyses included data from the 2013 and 2014 Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System. Preconception risk factors included health behaviors, chronic conditions, and mental health among women of childbearing age. Multivariate logistic regressions were used to compare the adjusted prevalence of each outcome among women with and without a history of service. Interaction terms assessed variation by age and history of service.

RESULTS

Compared with women without a history of service, women with a history of service reported higher prevalence of insufficient sleep (49.6% vs. 36.3%; p < .001) and diagnosed depression (26.5% vs. 21.6%; p < .01). Women with a history of service were overall less likely to have obesity (19.8% vs. 26.5%; p < .001). Age-stratified results suggested that, compared with women without a history of service, women with a history of service were more likely to smoke in the 25 to 34 age group and reported comparable levels of obesity in the 35 to 44 age group.

CONCLUSIONS

Women with a history of service demonstrated a preconception health profile that differs from women without a history of service. It is critical that providers are aware of their patients' military status and potential associated risks.

Evidence Review-Social Determinants of Health for Veterans

BACKGROUND

Veterans Health Administration (VHA) is committed to providing high-quality care and addressing health disparities for vulnerable Veterans. To meet these goals, VA policymakers need guidance on how to address social determinants in operations planning and day-to-day clinical care for Veterans.

METHOD

MEDLINE (OVID), CINAHL, PsycINFO, and Sociological Abstracts were searched from inception to January 2017. Additional articles were suggested by peer reviewers and/or found through search of work associated with US and VA cohorts. Eligible articles compared Veterans vs non-Veterans, and/or Veterans engaged with those not engaged in VA healthcare. Our evidence maps summarized study characteristics, social determinant(s) addressed, and whether health behaviors, health services utilization, and/or health outcomes were examined. Qualitative syntheses and quality assessment were performed for articles on rurality, trauma exposure, and sexual orientation.

RESULTS

We screened 7242 citations and found 131 eligible articles-99 compared Veterans vs non-Veterans, and 40 included engaged vs non-engaged Veterans. Most articles were cross-sectional and addressed socioeconomic factors (e.g., education and income). Fewer articles addressed rurality (N = 20), trauma exposure (N = 17), or sexual orientation (N = 2); none examined gender identity. We found no differences in rural residence between Veterans and non-Veterans, nor between engaged and non-engaged Veterans (moderate strength evidence). There was insufficient evidence for role of rurality in health behaviors, health services utilization, or health outcomes. Trauma exposures, including from events preceding military service, were more prevalent for Veterans vs non-Veterans and for engaged vs non-engaged Veterans (low-strength evidence); exposures were associated with smoking (low-strength evidence).

DISCUSSION

Little published literature exists on some emerging social determinants. We found no differences in rural residence between our groups of interest, but trauma exposure was higher in Veterans (vs non-Veterans) and engaged (vs non-engaged). We recommend consistent measures for social determinants, clear conceptual frameworks, and analytic strategies that account for the complex relationships between social determinants and health.

A Health Profile of Senior-Aged Women Veterans: A Latent Class Analysis of Condition Clusters

Background and Objectives

This study characterizes the multiple morbidities experienced by senior-aged women Veterans so that the Veterans Health Administration (VHA) and other health care systems may be better prepared to meet the health care needs of this growing cohort.

Research Design and Methods

Using the VHA’s Corporate Data Warehouse, we conducted a retrospective observational study of the 38,597 female veteran patients who were at least 65 years old and received care in the VHA during 2013 and 2014. We use a latent class analysis model to cluster diagnoses associated with inpatient and outpatient events over the years.

Results

The senior-aged women Veterans are characterized by six major classes of disease clusters. We defined these classes as: Healthy (16.24% of the cohort); Ophthalmological Disorders (13.84%); Musculoskeletal Disorders (14.22%); At Risk for Cardiovascular Disease (37.53%); Diabetic with Comorbidities (9.05%); and Multimorbid (9.12%). The patterns and prevalence of these condition classes vary by race, age, and marital status.

Discussion and Implications

Each of the six clusters can be used to develop clinical practice guidelines that are appropriate for senior-aged women Veterans. Consistent with past literature, the most common conditions in this cohort are hypertension and hyperlipidemia; together they form the most common class, “At Risk of Cardiovascular Disease (CVD)”. Results also show evidence of race-related disparities, with Blacks being more likely to be in the highest risk classes. Also, members of the cohort who are currently married having improved chances of being in the healthy class. And finally, we see a “healthy survivor” effect with the oldest women in our cohort having low overall rates of disease.

Fracture Rates and Bone Density Among Postmenopausal Veteran and Non-Veteran Women From the Women's Health Initiative

PURPOSE OF THE STUDY

Postmenopausal osteoporosis can impact quality-of-life even prefracture. To determine whether osteoporosis should be a greater concern in women Veterans versus non-Veterans, we compared fracture rates and bone mineral density (BMD) for Veterans and non-Veterans using Women's Health Initiative data.

DESIGN AND METHODS

In this cohort study, participants were women aged 50-79 years. Outcomes were hip, central body, and limb fractures occurring during up to 19 years of follow-up and hip, spine, and whole body BMD collected three times over a 6-year period in a participant subsample. Covariates comprised risk factors for fracture, including fall history and other components of the World Health Organization Fracture Risk Assessment Tool (FRAX). Cox Proportional Hazards models were used to examine fracture rates for Veterans compared with non-Veterans.

RESULTS

Of 161,808 women, 145,521 self-identified as Veteran (n = 3,719) or non-Veteran (n = 141,802). Baseline FRAX scores showed that Veterans had higher 10-year probabilities for any major fracture (13.3 vs 10.2; p < .01) and hip fracture (4.1 vs 2.2; p < .01) compared with non-Veterans. The age-adjusted rate of hip fracture per 1,000 person-years for Veterans was 3.3 versus 2.4 for non-Veterans (p < .01). After adjustment, the hazards ratio for hip fracture was 1.24 (95% confidence interval 1.03-1.49) for Veterans versus non-Veterans. Hazards ratios at other anatomic sites did not differ by Veteran status. Mean BMD at baseline and at Years 3 and 6 also did not differ by Veteran status at any site.

IMPLICATIONS

Women Veterans had an increased hip fracture rate not explained by differences in well-recognized fracture risk factors.