Overweight and Obesity in Sexual-Minority Women: Evidence From Population-Based Data

Reducing structural drivers of intimate partner violence (IPV), including gender inequity in education, employment, and health, surrounding women worldwide represents a clear public health priority. Within countries, some women are at disproportionate risk of IPV compared to other women, including sexual minority women, immigrant women, and women in poverty. However, limited research has assessed women’s IPV risk and related circumstances, including police involvement following IPV experiences and IPV-related worry, across sexual orientation, immigration status, and socioeconomic status in a population-based survey of women across countries. Further, few studies have examined IPV against minority women as a function of gender-based structural stigma. This study aimed to determine whether gender-based structural stigma is associated with IPV and related circumstances among European women; examine minority-majority IPV disparities; and assess whether structural stigma is associated with IPV disparities. We used the population-based 2012 Violence Against Women Survey ( n = 42,000) administered across 28 European Union countries: 724 (1.7%) identified as sexual minority, 841 (2.0%) as immigrant, and 2,272 (5.4%) as living in poverty. Women in high gender-based structural stigma countries had a greater risk of past-12-month IPV (AOR: 1.18, 95% CI = 1.04, 1.34) and IPV-related worry (AOR: 1.09, 95% CI = 1.04, 1.15) than women in low structural stigma countries. All minority women were at disproportionate risk of IPV and IPV-related worry compared to majority women. Associations between gender-based structural stigma and IPV and related circumstances differed across minority status. Country-level structural stigma can possibly perpetuate women’s risk of IPV and related circumstances. Associations between structural stigma and IPV and related circumstances for sexual minority women, immigrant women, and women in poverty call for research into the IPV experiences of minority populations across structural contexts.

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Characterizing Lifetime and Daily Experiences of Weight Stigma among Sexual Minority Women with Overweight and Obesity: A Descriptive Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17134892 ◽

2020 ◽

Vol 17 (13) ◽

pp. 4892 ◽

Cited By ~ 1

Author(s):

Emily Panza ◽

KayLoni Olson ◽

Carly M. Goldstein ◽

Edward A. Selby ◽

Jason Lillis

Keyword(s):

Sexual Minority ◽

Daily Life ◽

Secondary Analysis ◽

Weight Stigma ◽

Overweight And Obesity ◽

Minority Women ◽

Sexual Minority Women ◽

Perceived Weight ◽

Perceived Experiences ◽

Ecological Momentary

Sexual minority women are disproportionately impacted by obesity yet are underrepresented in weight stigma research. This Ecological Momentary Assessment (EMA) study is a secondary analysis that aimed to elucidate the frequency and contextual characteristics of perceived experiences of lifetime and momentary weight stigma among sexual minority women with overweight/obesity. Participants were 55 sexual minority women ages 18–60 with a body mass index ≥25 kg/m2. Perceived lifetime weight stigma events were assessed at baseline. For the subsequent five days, participants used a smartphone to complete five daily, random EMA prompts assessing the frequency/characteristics of perceived weight stigma events in daily life. All participants reported at least one lifetime weight stigma event. During the EMA period, participants reported 44 momentary weight stigma events (M = 0.80), with 24% of participants reporting at least one event. During most instances of weight stigma, women perceived the stigma’s cause to be their weight and another minority identity (e.g., sexual orientation). Findings showing high rates of perceived lifetime weight stigma in this sample and frequent co-occurrence of perceived weight stigma with stigma due to other marginalized identities in daily life underscore the need for future, larger studies investigating weight stigma through an intersectional lens in sexual minority women with overweight/obesity.

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Challenges of Virtual RDS for Recruitment of Sexual Minority Women for a Behavioral Health Study

Journal of Survey Statistics and Methodology ◽

10.1093/jssam/smab039 ◽

2021 ◽

Author(s):

Deirdre Middleton ◽

Laurie A Drabble ◽

Deborah Krug ◽

Katherine J Karriker-Jaffe ◽

Amy A Mericle ◽

...

Keyword(s):

Sexual Minority ◽

Qualitative Interviews ◽

Population Based ◽

Minority Women ◽

Health Study ◽

Computer Assisted ◽

Sexual Minority Women ◽

Web Based ◽

Telephone Interviews ◽

Survey Length

Abstract Respondent-driven sampling (RDS) is an approach commonly used to recruit nonprobability samples of rare and hard-to-find populations. The purpose of this study was to explore the utility of phone- and web-based RDS methodology to sample sexual minority women (SMW) for participation in a telephone survey. Key features included (i) utilizing a national probability survey sample to select seeds; (ii) web-based recruitment with emailed coupons; and (iii) virtual processes for orienting, screening, and scheduling potential participants for computer-assisted telephone interviews. Rather than resulting in a large diverse sample of SMW, only a small group of randomly selected women completed the survey and agreed to recruit their peers, and very few women recruited even one participant. Only seeds from the most recent of two waves of the probability study generated new SMW recruits. Three RDS attempts to recruit SMW over several years and findings from brief qualitative interviews revealed four key challenges to successful phone- and web-based RDS with this population. First, population-based sampling precludes sampling based on participant characteristics that are often used in RDS. Second, methods that distance prospective participants from the research team may impede development of relationships, investment in the study, and motivation to participate. Third, recruitment for telephone surveys may be impeded by multiple burdens on seeds and recruits (e.g., survey length, understanding the study and RDS process). Finally, many seeds from a population-based sample may be needed, which is not generally feasible when working with a limited pool of potential seeds. This method may yield short recruitment chains, which would not meet key RDS assumptions for approximation of a probability sample. In conclusion, potential challenges to using RDS in studies with SMW, particularly those using virtual approaches, should be considered.

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