Previously, quality of life (Qol) has been defined as an individual’s evaluation of a satisfactory life as a whole (i.e. physically, mentally, psychologically, and socially). Only a few studies have examined the racial differences between QoL and risk factors associated with health, demographics, and lifestyle in midlife women. Thus, the purpose of our study was to determine racial differences in QoL in menopausal women due to lifestyle, demographic, and health related risk factors. A stratified ordinal logistic regression model was applied to self-reported questionnaire data from the Midlife Women’s Health Study (MWHS) to determine risk factors associated with QoL differences between White and Black women during the menopausal transition. In multivariable models, our results showed Black women who had 3 or 4 comorbidities were about 4 times as likely to have higher QoL compared to women who had 0 to 2 comorbidities (95% CI: 1.65,10.78). However, the number of comorbidities was not significantly associated with QoL in White women in univariate or multiple regression. Further, body mass index and income were not significant factors in QoL in Black women but were in White women. Overall, our results illustrate that differences in health, demographic, and lifestyle factors are associated with QoL during menopause. Also, we suggest that future studies evaluate stratified models between racial groups to determine race-specific risk factors related to quality of life.

Previously, quality of life (Qol) has been defined as an individual’s evaluation of a satisfactory life as a whole (i.e. physically, mentally, psychologically, and socially). Only a few studies have examined the racial differences between QoL, and risk factors associated with health, demographics, and lifestyle in midlife women. Thus, the purpose of our study is to determine racial differences in QoL in menopausal women due to lifestyle, demographic, and health related risk factors. A stratified ordinal logistic regression model was applied to self-reported questionnaire data from the Midlife Women's Health Study (MWHS) to determine risk factors associated with QoL differences between White and Black women during the menopausal transition. In multivariate models, our results showed Black women who had 3 or 4 comorbidities (moderate) were about 4 times as likely to have higher QoL compared to women who had 0 to 2 comorbidities (95% CI: 1.65,10.78). However, the number of comorbidities was not significantly associated with QoL in White women in univariate or multivariate analysis. Further, BMI and income were not significant factors in QoL in Black women but were in White women. Overall, our results illustrate that differences in health, demographic, and lifestyle factors are associated with QoL during menopause. Also, we suggest that future studies evaluate stratified models between racial groups to determine race-specific risk factors related to quality of life.

Purpose: Latinas suffer disproportionately from breast cancer relative to non-Latina Whites, partially due to lower guideline-concordant screening. Multiple approaches are used to address this disparity including educational interventions and empowerment-related interventions, wherein a subset of the population is trained to share information with other members of the priority population. However, little is known about the relative effects of these different approaches. Objective: To analyze preliminary data regarding the effectiveness and cost-effectiveness of education and empowerment approaches. Methods: This ongoing, quasiexperimental trial is situated in two lower-income Latino communities in Chicago. Eligibility criteria include: 1) age of 52-74; 2) no mammography use within past 2 years; 3) no previous breast cancer diagnosis; and 4) no prior health volunteerism experience. Women are assigned to a cohort and participate in a three-week intervention (education: breast cancer, diet, physical activity; empowerment: breast cancer, sharing information with networks, health volunteerism). For women who wish to obtain mammography (from either arm), the study team provides navigation to free/low-cost services. Data collected at baseline, post-intervention, and six-month follow-up include standard demographics and self-reported mammography use, which are verified by study navigation records. The perspective for cost-effectiveness analyses was the community-based organization implementing the program. Cost data include overhead, non-personnel, and personnel costs (per task, per person encounter). Cost data were standardized to US dollars in 2018 and extrapolated to the duration of study implementation. Results: Our current sample is 97 women (51 education; 46 empowerment). Most women were 52-64 years old (70%), had insurance (58%), had less than a 9th grade education (60%), had an annual household income of <$15,000 (67%), and were born in Mexico (86%). More empowerment participants obtained a mammogram than education participants, after adjusting for age, education, income, insurance, mammography history, and mammography plans (47% vs. 74%; OR = 3.2, 95%CI [1.1, 9.00], p=.001). The empowerment intervention was also less expensive. The costs for education and empowerment interventions were $32,919 and $24,983 ($645 and $490 per person), respectively. Hence, empowerment appears to be a dominant strategy. Discussion: Empowerment approaches may be more effective and more cost effective in promoting mammography than education approaches among non-adherent Latinas. Limitations concern generalizability due a non-probability based sample, and limited ability for causal inferences due to a lack of randomization. Next steps include incorporating participants' costs and including unintended effects (e.g., number of non-participant women obtaining mammography). Citation Format: Yamile Molina, Liliana G. San Miguel, Catherine Pichardo, Genesis Rios, Leslie Diaz, Stephanie Cardenas, Esmeralda Cardoso-Mendoza, Juanita Arroyo, Maria Medina, Nora Coronado, Araceli Lucio, Olivia Hernandez, Surrey Walton. Empowering Latinas to obtain breast cancer screenings: Comparing intervention effects and cost effectiveness [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr A030.

Background Quality of Life (QoL) is a major indicator of an individual’s overall health. Only a few studies have examined the racial differences between QoL, and risk factors associated with health, demographics, and lifestyle in midlife women. Thus, the purpose of our study is to determine racial differences in QoL in menopausal women due to lifestyle, demographic, and health related factors. Methods A stratified ordinal logistic regression model was applied to self-reported questionnaire data from the Midlife Women's Health Study (MWHS) to determine risk factors associated with QoL differences between white and black women during the menopausal transition. Results In multivariate models, our results showed black women who had 3 or 4 comorbidities (moderate) were about 4 times as likely to have higher QoL compared to women who had 0 to 2 comorbidities (95% CI: 1.65,10.78). However, the number of comorbidities was not significantly associated with QoL in white women in univariate or multivariate analysis. Further, BMI, education, and income were not significant factors in QoL in black women but were in white women. Conclusions Overall, our results illustrate that differences in health, demographic, and lifestyle factors are associated with QoL during menopause. Also, we suggest that future studies evaluate stratified models between racial groups to determine race-specific risk factors related to quality of life.

Previously, quality of life (Qol) has been defined as an individual’s evaluation of a satisfactory life as a whole (i.e. physically, mentally, psychologically, and socially). Only a few studies have examined the racial differences between QoL, and risk factors associated with health, demographics, and lifestyle in midlife women. Thus, the purpose of our study is to determine racial differences in QoL in menopausal women due to lifestyle, demographic, and health related risk factors. A stratified ordinal logistic regression model was applied to self-reported questionnaire data from the Midlife Women's Health Study (MWHS) to determine risk factors associated with QoL differences between White and Black women during the menopausal transition. In multivariate models, our results showed Black women who had 3 or 4 comorbidities (moderate) were about 4 times as likely to have higher QoL compared to women who had 0 to 2 comorbidities (95% CI: 1.65,10.78). However, the number of comorbidities was not significantly associated with QoL in White women in univariate or multivariate analysis. Further, BMI and income were not significant factors in QoL in Black women but were in White women. Overall, our results illustrate that differences in health, demographic, and lifestyle factors are associated with QoL during menopause. Also, we suggest that future studies evaluate stratified models between racial groups to determine race-specific risk factors related to quality of life.