Bethany Everett

Dr. Bethany Everett


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 January 2015 in Biodemography and Social Biology
Verified
Journal Article
Closed access
BEBethany Everett
Bethany Everett
AZAnna Zajacova
Anna Zajacova
Previous research has shown that men have higher levels of hypertension and lower levels of hypertension awareness than women, but it remains unclear if these differences emerge among young adults. Using the National Longitudinal Study of Adolescent to Adult Health (Add Health), this study examines gender differences in hypertension and hypertension awareness among U.S. young adults, with special focus on factors that may contribute to observed disparities (N = 14,497). Our results show that the gender disparities in hypertension status were already evident among men and women in their twenties: women were far less likely to be hypertensive compared to men (12% vs. 27%). The results also reveal very low levels of hypertension awareness among young women (32% of hypertensive women were aware of their status) and even lower levels among men (25%). Finally, this study identifies key factors that contribute to these observed gender disparities. In particular, health care use, while not related to the actual hypertension status, fully explains the gender differences in hypertension awareness. The findings thus suggest that regular medical visits are critical for improving hypertension awareness among young adults and reducing gender disparities in cardiovascular health.

1 August 2010 in Demography
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Journal Article
Open access
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RRRichard G. Rogers
Richard G. Rogers
BEBethany Everett
Bethany Everett
JOJarron Saint Onge
Jarron Saint Onge
PKPatrick M. Krueger
Patrick M. Krueger
Few studies have examined whether sex differences in mortality are associated with different distributions of risk factors or result from the unique relationships between risk factors and mortality for men and women. We extend previous research by systematically testing a variety of factors, including health behaviors, social ties, socioeconomic status, and biological indicators of health. We employ the National Health and Nutritional Examination Survey III Linked Mortality File and use Cox proportional hazards models to examine sex differences in adult mortality in the United States. Our findings document that social and behavioral characteristics are key factors related to the sex gap in mortality. Once we control for women’s lower levels of marriage, poverty, and exercise, the sex gap in mortality widens; and once we control for women’s greater propensity to visit with friends and relatives, attend religious services, and abstain from smoking, the sex gap in mortality narrows. Biological factors—including indicators of inflammation and cardiovascular risk—also inform sex differences in mortality. Nevertheless, persistent sex differences in mortality remain: compared with women, men have 30% to 83% higher risks of death over the follow-up period, depending on the covariates included in the model. Although the prevalence ofriskfactors differs by sex, the impact of those riskfactors on mortality is similar for men and women.


1 February 2013 in American Journal of Public Health
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Journal Article
Closed access
SAS. Bryn Austin
S. Bryn Austin
LNLauren A. Nelson
Lauren A. Nelson
MBMichelle A. Birkett
Michelle A. Birkett
JCJerel Calzo
Jerel Calzo
BEBethany Everett
Bethany Everett
Objectives. We examined purging for weight control, diet pill use, and obesity across sexual orientation identity and ethnicity groups. Methods. Anonymous survey data were analyzed from 24 591 high school students of diverse ethnicities in the federal Youth Risk Behavioral Surveillance System Survey in 2005 and 2007. Self-reported data were gathered on gender, ethnicity, sexual orientation identity, height, weight, and purging and diet pill use in the past 30 days. We used multivariable logistic regression to estimate odds of purging, diet pill use, and obesity associated with sexual orientation identity in gender-stratified models and examined for the presence of interactions between ethnicity and sexual orientation. Results. Lesbian, gay, and bisexual (LGB) identity was associated with substantially elevated odds of purging and diet pill use in both girls and boys (odds ratios [OR] range = 1.9–6.8). Bisexual girls and boys were also at elevated odds of obesity compared to same-gender heterosexuals (OR = 2.3 and 2.1, respectively). Conclusions. Interventions to reduce eating disorders and obesity that are appropriate for LGB youths of diverse ethnicities are urgently needed.

1 April 2016 in LGBT Health
Verified
Journal Article
Closed access
ABAlida Bouris
Alida Bouris
BEBethany Everett
Bethany Everett
RHRyan D. Heath
Ryan D. Heath
CECaitlin E. Elsaesser
Caitlin E. Elsaesser
TNTorsten B. Neilands
Torsten B. Neilands
Purpose: Sexual minority youth (SMY) are at higher risk for victimization and suicide than are heterosexual youth (HY). Relatively little research has examined which types of victimization are most closely linked to suicide, which is necessary to develop targeted prevention interventions. The present study was conducted to address this deficit. Methods: The data come from the 2011 Chicago Youth Risk Behavior Survey (n = 1,907). Structural equation modeling (SEM) in Mplus evaluated the direct, indirect, and total effects of sexual orientation on a latent indicator of suicidal ideation and behaviors via seven types of victimization. Four indicators of victimization were school-specific (e.g., harassment due to sexual orientation or gender identity (SO/GID), bullying, threatened or injured with a weapon, and skipping school due to safety concerns), and three indicators assessed other types of victimization (e.g., electronic bullying, intimate partner violence, and sexual abuse). Results: Thirteen percent of youth were classified as SMY. Significantly more SMY than HY reported suicidal ideation (27.95% vs. 13.64%), a suicide plan (22.78% vs. 12.36%), and at least one suicide attempt (29.92% vs. 12.43%) in the past year (all P < .001). A greater percentage of SMY reported SO/GID-related harassment, skipping school, electronic bullying, and sexual abuse. Sexual orientation was not directly related to suicidal ideation and behaviors in SEM. Rather, SMY's elevated risk of suicidality functioned indirectly through two forms of school-based victimization: being threatened or injured with a weapon (B = .19, SE = .09, P ≤ .05) and experiencing SO/GID-specific harassment (B = .40, SE = .15, P ≤ .01). There also was a trend for SMY to skip school as a strategy to reduce suicide risk. Conclusion: Although SMY experience higher rates of victimization than do HY, school-based victimization that involves weapons or is due to one's SO/GID appear to be the most deleterious. That SMY may skip school to reduce their risk of suicidal ideation and behaviors is problematic, and schools should be encouraged to enact and enforce policies that explicitly protect SMY from victimization.

1 February 2014 in American Journal of Public Health
Verified
Journal Article
Closed access
MRMargaret Rosario
Margaret Rosario
HCHeather L. Corliss
Heather L. Corliss
BEBethany Everett
Bethany Everett
SRSari L. Reisner
Sari L. Reisner
SAS. Bryn Austin
S. Bryn Austin
MBMichelle Birkett
Michelle Birkett
Objectives. We examined sexual orientation disparities in cancer-related risk behaviors among adolescents.Methods. We pooled data from the 2005 and 2007 Youth Risk Behavior Surveys. We classified youths with any same-sex orientation as sexual minority and the remainder as heterosexual. We compared the groups on risk behaviors and stratified by gender, age (< 15 years and > 14 years), and race/ethnicity.Results. Sexual minorities (7.6% of the sample) reported more risk behaviors than heterosexuals for all 12 behaviors (mean = 5.3 vs 3.8; P < .001) and for each risk behavior: odds ratios (ORs) ranged from 1.3 (95% confidence interval [CI] = 1.2, 1.4) to 4.0 (95% CI = 3.6, 4.7), except for a diet low in fruit and vegetables (OR = 0.7; 95% CI = 0.5, 0.8). We found sexual orientation disparities in analyses by gender, followed by age, and then race/ethnicity; they persisted in analyses by gender, age, and race/ethnicity, although findings were nuanced.Conclusions. Data on cancer risk, morbidity, and mortality by sexual orientation are needed to track the potential but unknown burden of cancer among sexual minorities.