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A Population-Based Study of Body Mass Index
and Physical Activity Disparities Among
Sexual Minority Identified Women
Sarah M. Piperato & Melinda Forthofer
Presenter Disclosures
Sarah M. Piperato
No relationships to disclose
Quick Overview
• Background: Current Literature
• Methods
• Results
• Conclusions
• Questions
Sexual Minority Identified Women
• Self-identification as a sexual minoritized
person
• Prior research has categorized as: sexual
minority, sexual orientation, sexual behavior
• Sexual identity relates to one’s lived
experiences interacting with society
Background
- Sexual minority identified women experience higher rates of
obesity compared to heterosexual identified women (Eliason, et
al., 2015)
- Participate in risky health behaviors at higher rates than
heterosexual identified women (Farmer, et al., 2013; Jabson, et al., 2014;
Operario, et al., 2015)
- No association between energy intake and BMI among sexual
minority identified women (Boehmer & Bowen, 2009)
Physical Activity
• Caloric Balance
• Inconsistent results of prior physical activity
studies(Austin & Irwin, 2010; Blosnich, et al., 2010; Boehmer & Bowen,
2009; McElroy & Jordan, 2014)
• Use population based sample
Purpose
The purpose of this study is to assess the
differences in obesity and physical activity
between sexual minority identified women and
heterosexual identified women
• National Health and Nutrition Examination
Survey 2007-2014
• 6,797 Women
– 455 Sexual minority identified
– 6,342 Heterosexual identified
Methods: Data
• Sexual Identification
– “How do you describe yourself”
– Grouped lesbian, bisexual, and other as sexual
minority identified
• Body Mass Index
– Height and weight measured by NHANES staff
– Kg/m2
Methods: Measures
Methods: Measures
• Physical Activity
– Self-report recreational physical activity
– Calculated average metabolic equivalents (METS)
of moderate and vigorous physical activity per
week
– Categorized as meeting physical activity
recommendation if >500 Met minutes of physical
activity per week
• Descriptive statistics calculated for covariates,
stratified by sexual identity
• Multivariable logistic regression models used
for each outcome; BMI, MPA, VPA, meets PA
recommendations
• Backward stepwise elimination used to
remove covariates for final models
Methods: Statistical Analysis
Results: Demographics
• Predominantly White, college educated, self-
rated health “good”
• Sexual minority identified women
– Less likely to have health insurance
– More likely to consume alcohol, smoke cigarettes,
have a history of illicit drug use
Results: BMI
Multivariate Adjusted Logistic Regression Analysis of
Associations Between Body Mass Index and Sexual Identity
Sexual Minority Identified Compared to
Heterosexual Identified
Body Mass Index Adjusted Odds
Ratio
95% Confidence
Interval
P-value
Underweight 1.38 (0.59, 3.23) 0.4541
Healthy Weight REF - -
Overweight 1.01 (0.65, 1.54) 0.9825
Obese 1.81 (1.23, 2.65) 0.0032*
Multivariate logistic regression analyses for BMI are adjusted for age, physical activity recommendation, race, marital
status, health insurance status, alcohol use, marijuana or hashish use, cocaine/methamphetamine use and cigarette
smoking. *p-value <.05
Results: Physical Activity
Multivariate Adjusted Logistic Regression Analyses of
Associations Between Recreational Physical Activity and
Sexual Identity
Sexual Minority Identified Compared to
Heterosexual Identified
Participation in
Recreational PA
Adjusted Odds
Ratio
95% Confidence
Interval
P-value
Moderate Activity 0.85 (0.67,1.08) 0.1854
Vigorous Activity 1.18 (0.82, 1.70) 0.3622
Meets Recommendations 0.92 (0.68, 1.25) 0.5924
MPA adjusted for BMI, age, race, education, self-rated health, alcohol use,
cocaine/methamphetamine use and cigarette use. VPA adjusted for BMI, age, marital status,
education, self-rated health and alcohol use. Physical activity recommendations adjusted for BMI,
age, race, marital status, education, self-rated health and alcohol use.
Discussion
• Consistent with previous literature, sexual
identity is significantly associated with obesity
(Eliason, et al., 2015)
• No association between sexual identity and
physical activity (Blosnich, et al., 2014; Boehmer & Bowen, 2009)
• Lower physical activity levels may not be
underlying cause of higher prevalence of
obesity
Limitations
• Small sample size
• Limited options for sexual identification
• Cross-sectional design
• Social acceptability bias
• Subjective physical activity measures
Conclusions
• Physical activity does not appear to be driving
the weight disparity between sexual minority
identified women and heterosexual identified
women
Future Directions
• Consider socio-cultural impacts on weight
• Intentional in categorization of sexual identity
• Consider sampling frameworks when
designing studies with sexual minoritized
individuals
Acknowledgements
• This presentation was made possible in part
by Grant Number T32-GM081740 from NIH-
NIGMS
References
• Austin, E. L. & Irwin, J. A. 2010. Health behaviors and health care utilization of southern
lesbians. Women’s Health Issues 20: 178–184.
• Blosnich, J. R., Farmer, G. W., Lee, J. G., et al. 2010. Health inequalities among sexual minority
adults: Evidence from 10 U.S. states, 2010. American Journal of Preventive Medicine 46: 337–
349.
• Boehmer, U. & Bowen, D. J. 2009. Examining factors linked to overweight and obesity in
women of different sexual orientations. Preventive Medicine 48: 357–361.
• Eliason, M. J., Ingraham, N., Fogel, S. C., et al. 2015. A systematic review of the literature on
weight in sexual minority women. Women’s Health Issues 25: 162-175.
• Farmer, G. W., Jabson, J. M., Bucholz, K. K., et al. 2013. A population-based study of
cardiovascular disease risk in sexual-minority women. American Journal of Public Health 103:
1845-1850.
• Jabson, J. M., Farmer, G. W., & Bowen, D. J. 2014. Stress mediates the relationship between
sexual orientation and behavioral risk disparities. BMC Public Health 14: 1-8.
• McElroy, J. A. & Jordan, J. 2014. Disparate perceptions of weight between sexual minority and
heterosexual female college students. LGBT Health 1: 122–130.
A Population Based Study of Body Mass Index & Physical Activity Disparities Among Sexual Minority Identified Women

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A Population Based Study of Body Mass Index & Physical Activity Disparities Among Sexual Minority Identified Women

  • 1. A Population-Based Study of Body Mass Index and Physical Activity Disparities Among Sexual Minority Identified Women Sarah M. Piperato & Melinda Forthofer
  • 2. Presenter Disclosures Sarah M. Piperato No relationships to disclose
  • 3. Quick Overview • Background: Current Literature • Methods • Results • Conclusions • Questions
  • 4. Sexual Minority Identified Women • Self-identification as a sexual minoritized person • Prior research has categorized as: sexual minority, sexual orientation, sexual behavior • Sexual identity relates to one’s lived experiences interacting with society
  • 5. Background - Sexual minority identified women experience higher rates of obesity compared to heterosexual identified women (Eliason, et al., 2015) - Participate in risky health behaviors at higher rates than heterosexual identified women (Farmer, et al., 2013; Jabson, et al., 2014; Operario, et al., 2015) - No association between energy intake and BMI among sexual minority identified women (Boehmer & Bowen, 2009)
  • 6. Physical Activity • Caloric Balance • Inconsistent results of prior physical activity studies(Austin & Irwin, 2010; Blosnich, et al., 2010; Boehmer & Bowen, 2009; McElroy & Jordan, 2014) • Use population based sample
  • 7. Purpose The purpose of this study is to assess the differences in obesity and physical activity between sexual minority identified women and heterosexual identified women
  • 8. • National Health and Nutrition Examination Survey 2007-2014 • 6,797 Women – 455 Sexual minority identified – 6,342 Heterosexual identified Methods: Data
  • 9. • Sexual Identification – “How do you describe yourself” – Grouped lesbian, bisexual, and other as sexual minority identified • Body Mass Index – Height and weight measured by NHANES staff – Kg/m2 Methods: Measures
  • 10. Methods: Measures • Physical Activity – Self-report recreational physical activity – Calculated average metabolic equivalents (METS) of moderate and vigorous physical activity per week – Categorized as meeting physical activity recommendation if >500 Met minutes of physical activity per week
  • 11. • Descriptive statistics calculated for covariates, stratified by sexual identity • Multivariable logistic regression models used for each outcome; BMI, MPA, VPA, meets PA recommendations • Backward stepwise elimination used to remove covariates for final models Methods: Statistical Analysis
  • 12. Results: Demographics • Predominantly White, college educated, self- rated health “good” • Sexual minority identified women – Less likely to have health insurance – More likely to consume alcohol, smoke cigarettes, have a history of illicit drug use
  • 13. Results: BMI Multivariate Adjusted Logistic Regression Analysis of Associations Between Body Mass Index and Sexual Identity Sexual Minority Identified Compared to Heterosexual Identified Body Mass Index Adjusted Odds Ratio 95% Confidence Interval P-value Underweight 1.38 (0.59, 3.23) 0.4541 Healthy Weight REF - - Overweight 1.01 (0.65, 1.54) 0.9825 Obese 1.81 (1.23, 2.65) 0.0032* Multivariate logistic regression analyses for BMI are adjusted for age, physical activity recommendation, race, marital status, health insurance status, alcohol use, marijuana or hashish use, cocaine/methamphetamine use and cigarette smoking. *p-value <.05
  • 14. Results: Physical Activity Multivariate Adjusted Logistic Regression Analyses of Associations Between Recreational Physical Activity and Sexual Identity Sexual Minority Identified Compared to Heterosexual Identified Participation in Recreational PA Adjusted Odds Ratio 95% Confidence Interval P-value Moderate Activity 0.85 (0.67,1.08) 0.1854 Vigorous Activity 1.18 (0.82, 1.70) 0.3622 Meets Recommendations 0.92 (0.68, 1.25) 0.5924 MPA adjusted for BMI, age, race, education, self-rated health, alcohol use, cocaine/methamphetamine use and cigarette use. VPA adjusted for BMI, age, marital status, education, self-rated health and alcohol use. Physical activity recommendations adjusted for BMI, age, race, marital status, education, self-rated health and alcohol use.
  • 15. Discussion • Consistent with previous literature, sexual identity is significantly associated with obesity (Eliason, et al., 2015) • No association between sexual identity and physical activity (Blosnich, et al., 2014; Boehmer & Bowen, 2009) • Lower physical activity levels may not be underlying cause of higher prevalence of obesity
  • 16. Limitations • Small sample size • Limited options for sexual identification • Cross-sectional design • Social acceptability bias • Subjective physical activity measures
  • 17. Conclusions • Physical activity does not appear to be driving the weight disparity between sexual minority identified women and heterosexual identified women
  • 18. Future Directions • Consider socio-cultural impacts on weight • Intentional in categorization of sexual identity • Consider sampling frameworks when designing studies with sexual minoritized individuals
  • 19. Acknowledgements • This presentation was made possible in part by Grant Number T32-GM081740 from NIH- NIGMS
  • 20. References • Austin, E. L. & Irwin, J. A. 2010. Health behaviors and health care utilization of southern lesbians. Women’s Health Issues 20: 178–184. • Blosnich, J. R., Farmer, G. W., Lee, J. G., et al. 2010. Health inequalities among sexual minority adults: Evidence from 10 U.S. states, 2010. American Journal of Preventive Medicine 46: 337– 349. • Boehmer, U. & Bowen, D. J. 2009. Examining factors linked to overweight and obesity in women of different sexual orientations. Preventive Medicine 48: 357–361. • Eliason, M. J., Ingraham, N., Fogel, S. C., et al. 2015. A systematic review of the literature on weight in sexual minority women. Women’s Health Issues 25: 162-175. • Farmer, G. W., Jabson, J. M., Bucholz, K. K., et al. 2013. A population-based study of cardiovascular disease risk in sexual-minority women. American Journal of Public Health 103: 1845-1850. • Jabson, J. M., Farmer, G. W., & Bowen, D. J. 2014. Stress mediates the relationship between sexual orientation and behavioral risk disparities. BMC Public Health 14: 1-8. • McElroy, J. A. & Jordan, J. 2014. Disparate perceptions of weight between sexual minority and heterosexual female college students. LGBT Health 1: 122–130.