Abstract
Purpose of Review
Rates of obesity and associated comorbidities are higher among Black and Latino adults compared to white adults. We sought to provide an overview of both structural and individual factors contributing to obesity inequities and synthesize available evidence regarding treatment outcomes in Black and Latino adults, with an eye towards informing future directions.
Recent Findings
Obesity disparities are influenced by myriad systemic issues, yet the vast majority of interventions target individual-level factors only, and most behavioral treatments fail to target drivers beyond eating and physical activity. Extant treatments are not equally accessible, affordable, or effective among Black and Latino adults compared with white counterparts.
Summary
Asset-based, culturally relevant interventions that target the root causes of obesity and address intersectional stress—designed in partnership with intended beneficiaries—are urgently needed. Treatment trials must improve enrollment of Black and Latino adults and report treatment outcomes by race and ethnicity.
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Introduction
Significant racial and ethnic disparities exist in obesity and associated comorbidities. Of the approximately 40% of adults with obesity in the USA, rates are higher among Black and Latino adults compared to whites, with overall rates continuing to increase in recent years [1, 2]. There also appears to be differences in obesity risk by race/ethnicity and sexual orientation. For example, Latino lesbian women have higher odds of obesity and diabetes whereas Black bisexual women have higher odds of obesity compared to their white counterparts [3]. These data underscore the importance of considering intersectionality—or the ways in which different aspects of a person’s identity such as race, class, gender, and weight can create overlapping forms of discrimination or disadvantage [4].
Obesity is linked to numerous other chronic diseases, infertility, and poor mental health secondary to weight stigma [5, 6•]. In addition, individuals with obesity diagnosed with COVID-19 are also more likely to experience greater COVID-19 severity than those without obesity [7]. Stark disparities exist in risk for obesity-related comorbidities as well—for instance, data indicate rates of both cardiovascular disease and metabolic syndrome are higher in Black adults compared to white adults [8, 9], with some research noting higher rates among Black women than white women [9].
Modest weight losses of 5 to 10% are reliably associated with improvements in obesity-related comorbidities [5, 10]. However, extant obesity treatments have largely failed to meet the needs of Black and Latino adults [11, 12]. Indeed, novel and effective interventions to promote equitable treatment access and benefit are urgently needed for Black and Latino adults. In this review, we seek to inform future work in this area by first providing an overview of structural as well as individual-level factors contributing to obesity in these populations. Next, we will synthesize the current literature regarding treatment effects of behavioral, pharmacological, and surgical approaches to obesity treatment in Black and Latino adults. Finally, we highlight significant areas of future study and call on researchers to utilize an asset-based framework and design programming that addresses root causes of obesity in addition to individual factors to more effectively mitigate obesity-related health disparities experienced by Black and Latino adults.
Factors Influencing Obesity
Individual-level factors are often the focus when drivers of obesity disparities are considered. However, race and ethnicity are social constructs grounded in systemic racism and it is impossible to discuss obesity-related health inequities without considering structural and environmental factors. Indeed, structural factors affect all downstream variables—including individual level— that influence obesity risk and intervention for Black and Latino individuals.
Structural-Level Factors
Food Environment, Neighborhoods, and Targeted Advertising
Environmental factors such as housing, transportation, and neighborhood design (e.g., supermarkets, parks, and recreational facilities) all contribute to racial/ethnic disparities in obesity prevalence. Indeed, the distribution of food resources, particularly in racial/ethnic minority neighborhoods, are prone to be more “obesogenic,” with fewer supermarkets and more fast-food and liquor store options [13]. Healthier options are limited and typically of lower quality, more expensive, or not culturally well-known [13, 14]. Importantly, similar findings on the accessibility, availability, and overall cost of healthier food options have been reported for rural environments [15, 16]. Furthermore, food insecurity is positively associated with obesity risk, with stronger associations for Black and Latino adults [17, 18]. In addition, many Black and Latino adults live in low-income neighborhoods that lack the necessary resources, such as sidewalks, recreation facilities, and parks, that are conducive to participating in routine physical activity [19]. Moreover, when resources are available, Latino women in particular express safety concerns about their neighborhoods [20].
Targeted advertisements also contribute to obesity disparities. Like the tobacco industry, the food industry promotes behaviors that contribute to poor health outcomes among Black and Latino adults [21]. Historically, food companies intentionally focus advertisements for low nutrient foods, such as fast-foods and sugar-sweetened beverages towards Black and Latino communities [21], which encourages increased consumption of energy dense, low nutrient foods that contribute to obesity. For example, incorporating known Black and brown actors, athletes, or musicians into fast-food/beverage commercials or rebranding high-sugar beverages and salty snacks to attract Latino individuals (e.g., Mandarina Tangerine Kool-Aid and Lays Limón chips) [22•]. Additionally, personalized digital advertising based on information (e.g., shopping history and location) gathered from the consumers browser further exposes Black and Latino consumers to unhealthy food and drink advertisements [22•].
Obesity Training and Cultural Competency in Medical Education Programs
Given the American Medical Association (AMA) classified obesity as a chronic disease almost a decade ago, it is alarming that many medical schools provide minimal obesity management education to students [23•]. A recent study found a mere 10% of medical education faculty report their students are prepared to treat patients with obesity upon graduating [23•]. The inadequate education and training within medical school results in physicians that are unable to effectively treat patients with obesity. For example, many providers report feeling inept to treat patients with obesity [24] and are not comfortable having conversations about obesity-related behavioral factors with their patients from marginalized groups [25]. However, evidence suggests patients, specifically marginalized populations, are interested in talking about their weight with their provider [26].
Although evidence is somewhat limited in this area, extant data suggest that trainings in motivational interviewing or the 5 A’s (Ask, Advise, Assess, Assist, Arrange), coupled with an experiential learning component, might be effective in improving physician communication skills related to obesity [27]. Parallel to obesity training, the Association of American Medical Colleges developed the Tool for Assessing Cultural Competence Training (TACCT)—a tool created to self-evaluate cultural competency training curriculum in medical school [28••]. While evidence suggests cultural competency training is beneficial for improving overall patient-provider communication and care, there is not a universal consensus on the correct approach (e.g., implementation and evaluation), which leads to inconsistencies and differences in outcomes [28••]. Lack of obesity training compounded with differences in cultural competency training provides missed opportunities for the provider to build rapport and sensitively discuss obesity management options with their patients.
Stigma and Bias in Obesity Care
Weight stigma (weightism), both implicit and explicit, is prevalent among healthcare professionals [29] and adversely impacts the health of persons with obesity. The prevalence of weight stigma ranges from 19.2 to 41.8% depending on obesity class [6•]. Weight stigma is correlated with several factors such as greater suicidal ideation, higher weight loss goals, increased body dissatisfaction, decreased physical activity, and maladaptive eating [6•]. Weight stigma also impacts obesity treatment outcomes. For example, one study found 20% of participants who discussed their weight and did not feel judged by their primary care provider achieved > 10% weight loss relative to only 14% of participants who did feel judged [30]. This same study reported feeling judged was linked to weight loss attempts but not weight loss. Other research has noted racial differences in the coping behaviors associated with weight stigma, with Latino women and Black men reporting higher rates of maladaptive eating to cope relative to Black women and white men [6•].
In addition to weight stigma, racial bias is also prevalent within the medical community at all levels and across specialties [31]. Regardless of whether racial biases present as unintentional (implicit) or intentional (explicit), such biases result in negative consequences: poor provider-patient communication, assumptions of inferiority among Black and Latino patients compared to white patients, and accusations of non-compliance towards Black and Latino patients [32, 33]. Evidence suggests that healthcare professionals’ implicit bias towards Black and Latino patients is equivalent to that reported by the public as a whole [31]. While medical training encourages a patient-centered approach, bias has been shown to negatively impact the benefits of using this technique within the Black community [34]. Biases, beliefs, and attitudes about a group of people ultimately lead to discrimination and unfair treatment, which causes and perpetuates health inequities among Black and Latino patients. In fact, a recent study showed 54.6% Black and 21.9% of Latino adults experienced racial discrimination in a healthcare setting [35••]. The prevalence of stigma, bias, and discrimination among the healthcare team underscores the importance of comprehensive reform of medical training to help mitigate bias in healthcare settings.
Health Insurance
Health insurance companies rarely cover the cost of evidenced-based obesity treatment without comorbidities [36, 37]. Body mass index (BMI) is also the primary indicator of health used in current obesity treatment guidelines [10] which inform insurance policies, yet data indicate that BMI is a poor indicator of overall metabolic health [38]. In addition, marginalized racial/ethnic groups are more likely to be uninsured than whites [39••], and Latinos are more likely to be uninsured compared to the general population, which increases the likelihood of not receiving preventative care [40, 41].
Of note, even with health insurance coverage, evidence-based care is not consistently accessible or affordable [42]. Over the years, coverage for obesity treatment has increased considerably; however, there are several restrictions, such as lifetime maximums, select plan privileges (e.g., pharmacotherapy on select plans only), and extremely high co-pays [42], making effective obesity treatment out of reach for many Black and Latino patients. Moreover, coverage guidelines vary from state to state, which could be due to the differences in their handbooks’ language (e.g., obesity is listed as a disease in some states and not in others) [42]. Further, the cost of medications to treat obesity can vary based on disease type. For example, in the USA, the cost of semaglutide [43], an injectable glucagon-like peptide-1, is almost $500 higher per month for treating obesity compared to treating diabetes ($1300) [44], which is unaffordable for the average person.
Policies
Many government entities have developed initiatives (e.g., Women, Infants and Children; WIC, Supplemental Nutrition Assistance Program) to help reduce excess weight gain by providing nutritious foods and dietary guidance. For instance, WIC participants have better diet quality and consume more nutrient-dense foods both during and after leaving the program [45, 46]. Additionally, some states developed tax systems that discourage the purchase of unhealthy beverages and fast food. Although research is mixed, this tax approach has successfully reduced the consumption of unhealthy beverages and fast-food purchases in some states [47]. Other research has noted the potential benefit of providing health warnings on sugar-sweetened beverages. While more research is needed, several field-based studies have found a positive association between health warnings and decreased sugary beverage purchases [48]. Importantly, taxation and health warning labels do not account for convenience, preferences, or cultural norms, which could all influence the decision to purchase fast-food and sugary beverages that contribute to weight gain and obesity.
Systemic Racism
All of the aforementioned structural factors are rooted in systemic racism. Racism is a system designed to disadvantage people based on their race. In the USA, racism is intricately woven into all facets of life including school, work, healthcare, neighborhoods, food availability, and access. This is made evident by redlining, historical disinvestment, racially targeted food marketing, food deserts/swamps, and fat phobia—which dates to the transatlantic slave trade and the desire to denigrate and demoralize Black bodies, while affirming whiteness [49••]. As a whole, Black and brown people living in the USA do not have the privilege of living the American Dream because they are tasked with navigating a white system of oppression that was built on the backs of their ancestors—yet designed to disadvantage them.
Individual-Level Factors
SES and Obesity
Socioeconomic status (SES) is a combined measure of one’s education, income, and occupation [50••]—all of which are influenced by systemic racism [49••]. While Black and Latino adults make up 31.9% of the total population, they account for over 50% of those residing in poverty [51]. Additionally, Black and Latino adults are less likely to receive a bachelor’s degree compared to non-Latino white adults and their median household income is over $20,000 less [52]. While the relationship between SES and obesity outcomes is complex, low SES contributes to health disparities through shortage of resources, food insecurity, decreased physical activity, lack of access, affordability, and increased consumption of high-calorie, highly processed, nutrient deficient meals [50••]. Moreover, there is mounting evidence regarding the behavioral, metabolic, and hormonal effects of lower subjective social status (SSS) [53–56], which might influence obesity inequities among marginalized populations such as Black and Latino adults.
Psychosocial Factors
A growing body of literature suggests psychosocial factors such as stress, racial discrimination, weight discrimination, depression, anxiety, and maladaptive eating behaviors are similarly pertinent to obesity prevention and treatment as biological and environmental factors [50••]. The association between stress and obesity is multifactorial in that stress causes changes to the body behaviorally, physiologically, and psychologically [57•]. Black and Latino adults are exposed to both everyday stressors and race-related stress or racial discrimination [58••]. Racial discrimination has been linked to obesity and obesity treatment response [59, 60•, 61]. Similarly, weight discrimination is one of the most reported forms of discrimination [6•] and disparities exist, with the highest rate among women. In addition to healthcare settings, weight discrimination is prevalent among family members, schools, and within the workplace [6•]. Some Latino adults must also navigate dietary acculturation and acculturative stress [62, 63] associated with relocating to a new country and being submerged in a different belief system. Research suggests acculturation is associated with behavior changes and obesity in Latino adults [64].
Another psychosocial factor that influences obesity risk is maladaptive eating behaviors such as binge eating. Historically, Black and Latina women were erroneously thought to be immune to disordered eating; however, the prevalence of binge eating among Black women with obesity is elevated with rates as high as 36% [65••]. In addition, binge eating and binge eating disorder (BED) are common among Latino adolescents and adults, and BED is associated with higher BMI and higher frequency of binge eating episodes in Black adults compared to white adults [66, 67]. Binge eating is often used to cope with depression and negative feelings related to experiences like trauma, abuse, discrimination, or body dissatisfaction [65••]. Of note, Black and Latina women rarely receive treatment for binge eating [65••, 68], which puts them at greater risk for continued weight gain.
Finally, body image is an inimitable stressor for Black women residing in the USA. In general, the Black community is more accepting of larger bodies compared to other races; however, living in a society that praises a westernized thin body ideal is experienced as stressful and paradoxical at times [69, 70]. Research among Latinos is mixed, but many Latina women prefer and are interested in a larger body type [71]. Of note, acculturative stress has a positive association with body dissatisfaction in Latina women [72•]. These body preferences, coupled with cultural norms, might contribute to obesity risk among some Black and Latina women. At the same time, recent evidence suggests that some Black women experience body dissatisfaction, and that body appreciation partially mediated the association between BMI and eating behaviors and attitudes [73•]. Indeed, promoting body positivity among Black and Latino adults at all sizes is important, while also encouraging behaviors that support overall health.
Black and Latino adults sit at the intersection of many of these factors, thus exacerbating obesity risk in these populations. Scholars have long called for researchers to examine health outcomes using an intersectional lens [74, 75] to capture the nuances of living as a minority with intersecting identities that are continually influenced by both individual and structural factors. For example, Black and Latina women in particular sit at the intersection of both marginalized race and gender identities—which means we must acknowledge “gendered racism” [76]. Further, for Black and Latina women living in larger bodies, we must also recognize ways in which “weightism” converges with gendered racism to fully understand the mechanisms that contribute to obesity within these populations.
Obesity Interventions
Despite myriad structural influences on obesity, most interventions focus solely on individual-level factors. Moreover, current evidence-based treatment options available for obesity are not equally accessible or effective for Black and Latino adults.
Behavioral Lifestyle Interventions
Behavioral lifestyle intervention (BLI) is the first-line treatment approach for adult obesity. Guidelines recommend a high-intensity (≥ 14 sessions in 6 months) comprehensive BLI [10, 77], which is typically characterized by a low-calorie heart-healthy diet, increased physical activity, and behavioral therapy [78•]. Such programs promote weight losses of 5 to 11% and associated improvements in cardiometabolic risk factors and quality of life are sustained for 2 to 8 years [77, 78•]. However, many studies investigating the efficacy of BLIs have failed to enroll adequate numbers of Black or Latino adults or account for race in statistical analyses [11, 66]. Moreover, there is a paucity of research on BLIs designed specifically for these historically excluded populations.
In a recent review, Goode et al. found only 10 of 23 randomized controlled trials (RCTs) examined outcomes by race and/or considered race in statistical analyses, even though 69% of the trials met or exceeded US population estimates for Black adults [11]. A review of NIH-funded multicenter BLIs reporting subgroup analyses showed less weight loss but similar or less weight regain in Black adults compared to white adults at 6-month follow-up [79]. Numerous studies have documented Black women experience the least weight loss treatment benefit compared to other race/gender groups [39••, 80].
Recent efforts to enhance BLIs for Black women with culturally relevant or community-based components have not demonstrated greater weight loss relative to standard BLIs [81••, 82]. However, culturally relevant, cognitive behavioral interventions for obesity have shown promising effects. For instance, a cognitive behavioral intervention based on a decision-making model of women’s food choice resulted in less eating pathology and greater weight loss in Black women in a church setting compared to Black and white women in a university setting [83]. Additionally, a standard behavioral treatment approach that integrated both environmental and acceptance-based enhancements eliminated disparities in treatment response observed in standard behavioral treatment, producing average weight losses of 9.4% at 12 months in Black adults [84].
While overall inclusion of Black adults in BLIs has improved in the last two decades [11], this has not been the case for Latinos. BLI research still lacks representation of Latino adults [85] and often combines multi-ethnic subsamples in statistical analyses of outcomes [86], which prevents examination of potential differences in weight outcomes with Latino adults. A culturally tailored lifestyle modification intervention that included demonstrations of modified traditional dishes showed positive outcomes for Mexican American women when combined with Orlistat [87]. Research has also shown familial and social relationships are important to leverage in intervention activities to promote weight loss among Latino and Black adults [12, 87–89].
Pharmacotherapy
Another evidence-based approach to obesity treatment is medication. Currently, six anti-obesity medications are approved by the US Food and Drug Administration, including orlistat, phentermine plus topiramate, naltrexone plus bupropion, liraglutide, semaglitude, and tirzepatide [90, 91]. Anti-obesity medications result in at least 5% weight loss at 52 weeks compared to placebo, and phentermine plus topiramate and liraglutide are the most effective in lowering weight [92]. Phentermine plus topiramate is also highly effective compared to lifestyle modification alone [93•]. Further, semaglutide plus lifestyle intervention has been shown to be highly effective resulting in weight loss of 14.9% [94].
In a review of anti-obesity medications in marginalized racial/ethnic groups and whites, Osei-Assibey identified 18 RCTs with predominately multi-ethnic samples and found no differences in weight loss response to orlistat between marginalized groups and Whites [95••]. A recent RCT of liraglutide showed no differences in efficacy between Latinos and non-Latinos as both subgroups had ≥ 5% weight loss with pharmacotherapy [96]. Recent trials on combined anti-obesity medication and BLI have not recruited adequate samples of Black and Latino adults to examine potential differences in treatment effects or did not consider exploring such differences by race/ethnicity. Research suggests that combining orlistat and culturally tailored BLI results in increased weight loss in Mexican–American women relative to a wait-list control group [87].
Of note, extant data indicate that access and usage of anti-obesity medications varies by race and ethnicity. In a study based on a population-level national database from 2010 to 2019, Black adults and Medicaid recipients were more likely to be prescribed anti-obesity medication than whites and other insurance recipients (Medicare, commercial, self-pay), respectively [97]. However, a study found less acceptance of anti-obesity medication as a viable treatment option in Black, Latino, and economically disadvantaged adults due to concerns about safety, which mostly focused on cardiovascular effects, and efficacy of medications for obesity [98]. Adults who used anti-obesity medication reported side effects based on personal experiences while those who had not used such medications reported perspectives based on information from media sources or influential others. Among many medication users, anti-obesity medication did not produce weight loss and if weight loss occurred, weight loss benefits were considered to be short-term.
Bariatric Surgery
Bariatric surgery is the most effective treatment for obesity, resulting in significant weight loss, improvements in obesity-related comorbidities [9, 99], and medication discontinuation [100]. For example, a multicenter longitudinal study found Roux-en-Y gastric bypass (RYGB) produced a weight loss of 28.4% and lower rates of dyslipidemia, diabetes, and hypertension at 7-year follow-up [99]. Recent research has also shown a lower risk of hospitalization, need for supplemental oxygen, and severe COVID-19 infection among patients who underwent bariatric surgery [101].
Despite the benefits of bariatric surgery across racial and ethnic groups [102], it is less accessible, and therefore, underutilized by marginalized groups. Socioeconomic factors, such as income and insurance (private vs. public), can influence access to bariatric surgery as adults with private insurance are more likely to undergo bariatric surgery [103], which likely contributes to racial and ethnic disparities in utilization. Referrals for bariatric surgery are lower for Latino adults than white and Black adults [104••]. Data indicate that whites have the highest rates of undergoing bariatric surgery [103] and Latino adults have lower rates than whites [105••, 106]. Black men undergo bariatric surgery at lower rates than white men [107]. Longitudinal research has uncovered racial and ethnic differences in long-term weight outcomes (> 12 months) following surgery [108••, 109]. In a multicenter study of patients who underwent RYGB, white adults had greater loss than Black adults at 5-year follow-up [108••]. Further, weight regain is more common among Black adults than their white and Latino counterparts [110••]. However, in studies at a single center, there are inconsistent findings regarding where disparities exist [111, 112] and some data indicate no differences in treatment benefit by race/ethnicity [113]. Altogether, it appears that weight loss differs by race/ethnicity over time, with greater disparities over time, particularly for Black adults.
Data indicate marginalized racial/ethnic groups experience poor surgical outcomes and complications at higher rates. Registry data show higher rates of serious complications, mortality, reintervention, and readmission at 30 days in Black adults compared to whites [114••, 115]. Further, research points to higher odds of multiple grades of complications for Black adults and higher odds of Grade 3 complications for Latino adults relative to whites [116••]. However, other studies found no differences between Latinos and whites in mortality, morbidity (shock, intensive care unit stay), hospital length, or costs [105••]. It is possible that these disparities are related to socioeconomic factors, such as income and access to healthcare [114••], as well as bias in the healthcare system by providers. Research to identify drivers of poor surgical outcomes among marginalized racial/ethnic groups is sorely needed to develop strategies to address them.
A Call to Action: Key Issues to Address in Future Obesity Interventions
As healthcare providers and researchers, maximizing the health and well-being of patients and participants is of highest priority. Yet, as a field, we have fallen short of this goal when it comes to Black and Latino adults, who are at disparate risk for obesity and resulting comorbidities [1, 2, 8, 9]. It is time to reconceptualize obesity treatment in service of health equity—we urge researchers and healthcare providers to consider the following recommendations in their work.
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1.
Improve recruitment and retention of Black and Latino adults across the spectrum of obesity interventions. Little is known about the efficacy of current obesity interventions in Black and Latino adults partly due to the inadequate samples of these populations in RCTs. Black men and Latino adults, in particular, are underrepresented in BLIs [39••, 85]. Furthermore, in studies with sufficient enrollment of Black and Latino adults, outcome analyses should consider treatment response by both gender and race and ethnicity.
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2.
Design culturally relevant interventions that account for social determinants of health and structural factors and are developed in partnership with intended beneficiaries. Few culturally relevant, BLIs for Black and Latino adults have been studied. While findings have been mixed [81••, 82], there is some evidence to support the potential benefits of culturally tailored interventions for obesity, but it is likely that culturally tailoring is necessary but not sufficient. Of note, the majority of obesity interventions have focused on individual-level factors, despite research demonstrating the need to consider structural-level factors to address health disparities [117, 118••]. Utilizing a social determinant of health framework, which consists of key factors influencing an individual’s health including healthcare and education access and quality; economic stability; social and community contexts; and neighborhood and the built environment, will inevitably be a more holistic and ultimately successful way of improving health and reducing obesity-related disparities [119••]. Indeed, the U.S. Department of Health and Human Services has identified such structural determinants of health as a key priority area for its Health People 2030 initiative [119••]. In this context, community-engaged and community-based participatory research approaches are promising for improving lifestyle behaviors among Black and Latino adults [117, 120], but are underutilized in obesity interventions. For example, community-based participatory research strategies take a bottom-up vs. top-down approach and engage those from relevant communities in all steps of creating effective, often multi-level interventions [121, 122].
As a field, we need to move beyond individual-level treatment to include assessment and addressing of the myriad structural and systemic factors influencing risk, interventions, and outcomes. Although these factors may seem beyond the scope of any one researcher or clinician, assessing and being aware of them when considering risk, maintaining factors, and designing interventions is critical. Collaborative work across disciplines and key stakeholders (e.g., patients, participants, researchers, clinicians, and policy makers) would greatly enhance this process. By working with members of Black and Latino communities, healthcare providers and researchers can develop a greater appreciation for the communities’ and individuals’ strengths and resilience. Along these lines, developing more assets-based and strengths-based models and approaches versus a deficits-based perspective [123] is sorely needed in addressing weight interventions and health disparities. Part of this entails identifying individuals’ protective factors and maximizing these assets (e.g., social, familial, and faith-based connectivity) to encourage and sustain health-promoting behaviors. Again, however, even with resilience and resources, individuals are unlikely to maximize their health potential without systems, policy, and community-level changes.
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3.
Increase emphasis on psychosocial factors and exposure to intersectional stress experienced by Black and Latino adults, particularly women. There is limited coverage, if any, on psychosocial factors in BLIs. For instance, disordered eating, body image, weight and racial discrimination, and intersectional stress experiences are rarely addressed, despite their prevalence and significance among marginalized racial/ethnic populations [67, 70, 72•, 124]. When addressing individuals of higher weight in clinical practice, few providers assess for psychological contributors outside of depression. Yet, for some, including Black and Latino adults, the energy balance model is insufficient to address the underlying anxiety and stress that may contribute to obesity via physiological pathways (e.g., cortisol) and behavioral pathways (e.g., overeating or binge eating as a means of coping) [125••]. These psychological concerns are critical to determine prior to providing guidance on behavioral or biological interventions. In addition, assessing full-threshold eating disorders—which are often not diagnosed in higher weight persons due a failure to recognize that eating disorders (including restrictive-based types) are evident across the weight spectrum [126]—is needed prior to a prescriptive plan. Without this assessment approach, providers may inadvertently be feeding dysregulated eating and maladaptive behaviors that paradoxically lead to excess weight gain.
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4.
Increase emphasis on health indicators other than BMI. There is an overemphasis on using BMI to guide obesity treatment recommendations and determine the effectiveness of many obesity interventions with limited consideration of other health indicators such as metabolic health. This is concerning as research has shown misclassification of adults as cardiometabolically unhealthy or cardiometabolically healthy occurs when BMI categories are used as the main health indicator [32]. Research has also shown that at the same BMI, non-Latino Black adults on average have lower fat mass compared to Latinos and whites [127].
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5.
Use alternative words to describe obesity. Research suggests that use of the term obesity may have harmful effects on adults of higher weight. A study of adults with BED and obesity in an RCT showed that obesity was one of several weight-related terms (e.g., heaviness, large size, excess fat, and fatness) viewed negatively [128]. Alternative terms focused on weight, such as weight, BMI, and unhealthy body weight or BMI, were viewed more favorably. Of note, weight was the most preferred term. The terms weight and BMI were also preferred in a community sample of adults [129]. Healthcare providers and researchers should consider using terms that refer to weight when discussing obesity with patients and participants, and defer to patients’ and participants’ preferred language.
Conclusion
This review synthesized the literature on individual and structural factors influencing obesity and current intervention approaches for obesity. Obesity is a complex disease driven by numerous factors—many of which can be attributed to systemic racism. We found that obesity interventions have continued to inadequately represent Black and Latino populations and fail to address their needs with little consideration of structural drivers of obesity. Asset-based, culturally relevant, obesity interventions designed in partnership with intended beneficiaries are urgently needed. Moreover, it is critical that such intervention efforts also address structural factors that significantly impact treatment outcomes. Effectively understanding and treating obesity in Black and Latino populations requires an intersectional lens and a multidisciplinary team of healthcare providers, behavioral investigators and interventionists, community members, and other stakeholders.
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Vedovato GM, Surkan PJ, Jones-Smith J, Steeves EA, Han E, Trude AC, et al. Food insecurity, overweight and obesity among low-income African-American families in Baltimore City: associations with food-related perceptions. Public Health Nutr. 2016;19:1405–16. https://doi.org/10.1017/S1368980015002888.
Moore LV, Roux AV, Evenson KR, McGinn AP, Brines SJ. Availability of recreational resources in minority and low socioeconomic status areas. Am J Prev Med. 2008;1(34):16–22. https://doi.org/10.1016/j.amepre.2007.09.021.
Larsen BA, Pekmezi D, Marquez B, Benitez TJ, Marcus BH. Physical activity in Latinas: social and environmental influences. Women’s Health. 2013;9:201–10. https://doi.org/10.2217/whe.13.9.
Harris JL. Targeted food marketing to Black and Hispanic consumers: the tobacco playbook. Am J of Public Health. 2020;110:271–2. https://doi.org/10.2105/AJPH.2019.305518.
• Barnhill A, Ramírez AS, Ashe M, Berhaupt-Glickstein A, Freudenberg N, Grier SA, et al. The racialized marketing of unhealthy foods and beverages: perspectives and potential remedies. J Law Med & Ethics. 2022;50:52–9. https://doi.org/10.1017/jme.2022.8. Examines the multitude of factors that companies use to market and advertise unhealthy food and drink options in Black and Latino communities.
• Butsch WS, Kushner RF, Alford S, Smolarz BG. Low priority of obesity education leads to lack of medical students’ preparedness to effectively treat patients with obesity: results from the US medical school obesity education curriculum benchmark study. BMC Med Edu. 2020;20:1–6. https://doi.org/10.1186/s12909-020-1925-z. Examines current obesity education in U.S. medical schools as reported by medical school deans and curriculum staff. Describes two recent educational initiatives that included core competencies in obesity in healthcare professional schools.
Jay M, Gillespie C, Ark T, Richter R, McMacken M, Zabar S, Paik S, Messito MJ, Lee J, Kalet A. Do internists, pediatricians, and psychiatrists feel competent in obesity care. J Gen Intern Med. 2008;23(1066–70):1066–70. https://doi.org/10.1007/s11606-008-0519-y.
Bleich SN, Simon AE, Cooper LA. Impact of patient–doctor race concordance on rates of weight-related counseling in visits by Black and White obese individuals. Obesity. 2012;20:562–70. https://doi.org/10.1038/oby.2010.330.
Lewis KH, Gudzune KA, Fischer H, Yamamoto A, Young DR. Racial and ethnic minority patients report different weight-related care experiences than non-Hispanic Whites. Prev Med Rep. 2016;1:296–302. https://doi.org/10.1016/j.pmedr.2016.06.015.
Reading JM, Snell LM, LaRose JG. A systematic review of weight-related communication trainings for physicians. Transl Behav Med. 2020;10:1110–9. https://doi.org/10.1093/tbm/ibaa014.
•• Jernigan VB, Hearod JB, Tran K, Norris KC, Buchwald D. An examination of cultural competence training in US medical education guided by the tool for assessing cultural competence training. J Health Dispar Res Pract. 2016;9:150–67. Examines current cultural competency training in medical education in USA.
Sabin JA, Marini M, Nosek BA. Implicit and explicit anti-fat bias among a large sample of medical doctors by BMI, race/ethnicity and gender. PLoS One. 2012;7:e48448. https://doi.org/10.1371/journal.pone.0048448.
Gudzune KA, Bennett WL, Cooper LA, Bleich SN. Perceived judgment about weight can negatively influence weight loss: a cross-sectional study of overweight and obese patients. Prev Med. 2014;62:103–7. https://doi.org/10.1016/j.ypmed.2014.02.001.
Hall WJ, Chapman MV, Lee KM, Merino YM, Thomas TW, Payne BK, et al. Implicit racial/ethnic bias among health care professionals and its influence on health care outcomes: a systematic review. Am J Public Health. 2015;1105:e60-76. https://doi.org/10.2105/AJPH.2015.302903.
Van Ryn M, Burke J. The effect of patient race and socio-economic status on physicians’ perceptions of patients. Soc Sci Med. 2000;50:813–28. https://doi.org/10.1016/S0277-9536(99)00338-X.
Mayo RM, Sherrill WW, Sundareswaran P, Crew L. Attitudes and perceptions of Hispanic patients and health care providers in the treatment of Hispanic patients: a review of the literature. Hisp Health Care Int. 2007;5:64–72. https://doi.org/10.1891/154041507780978905.
Blair IV, Steiner JF, Fairclough DL, Hanratty R, Price DW, Hirsch H, et al. Clinicians’ implicit ethnic/racial bias and perceptions of care among Black and Latino patients. Ann Fam Med. 2013;11:43–52. https://doi.org/10.1370/afm.1442.
•• Nong P, Raj M, Creary M, Kardia SLR, Platt JE. Patient-reported experiences of discrimination in the US health care system. JAMA New Open. 2020;3:e2029650. https://doi.org/10.1001/jamanetworkopen.2020.29650. Investigates the prevalence, frequency, and type of patients’ experiences with discrimination as well as differences in prevalence by demographic factors.
Lee JS, Sheer JL, Lopez N, Rosenbaum S. Coverage of obesity treatment: a state-by-state analysis of Medicaid and state insurance laws. Public Health Rep. 2010;125:596–604. https://doi.org/10.1177/003335491012500415.
Fandek NW. Obesity care & weight loss: what’s covered and what’s not? 2021. https://www.goodrx.com/conditions/weight-loss/weight-loss-treatments-insurance-coverage.
Tomiyama AJ, Hunger JM, Nguyen-Cuu J, Wells C. Misclassification of cardiometabolic health when using body mass index categories in NHANES 2005–2012. Int J Obes. 2016;40:883–6. https://doi.org/10.1038/ijo.2016.17.
•• Lewis KH, Edwards-Hampton SA, Ard JD. Disparities in treatment uptake and outcomes of patients with obesity in the USA. Curr Obesity Rep. 2016;5:282–90. https://doi.org/10.1007/s13679-016-0211-1. Synthesizes literature on responses to obesity treatments by race/gender and proposes potential reasons for differential treatment utilization and response.
Doty MM, Beutel S, Rasamussen PW, Collins SR. Latinos have made coverage gains but millions are still uninsured. 2015. https://www.commonwealthfund.org/blog/2015/latinos-have-made-coverage-gains-millions-are-still-uninsured.
Lines LM, Urato M, Halpern MT, Subramanian S. Insurance coverage and preventive care among adults. 2014. https://www.ncbi.nlm.nih.gov/books/NBK532434/.
Jannah N, Hild J, Gallagher C, Dietz W. Coverage for obesity prevention and treatment services: analysis of Medicaid and state employee health insurance programs. Obesity. 2018;26:1834–40. https://doi.org/10.1002/oby.22307.
Lee M, Lauren BN, Zhan T, Choi J, Klebanoff M, Abu Dayyeh B, et al. The cost-effectiveness of pharmacotherapy and lifestyle intervention in the treatment of obesity. Obes Sci Pract. 2020;6:162–70. https://doi.org/10.1002/osp4.390.
Conscience Health. Why is semaglutide more experience for obesity? 2022. https://conscienhealth.org/2022/05/why-is-semaglutide-more-expensive-for-obesity/.
Carlson S, Neuberger Z. WIC works: addressing the nutrition and health needs of low-income families for more than four decades. 2021. https://www.cbpp.org/research/food-assistance/wic-works-addressing-the-nutrition-and-health-needs-of-low-income-families#_ftn3.
Fang D, Thomsen MR, Nayga RM Jr, Novotny AM. WIC participation and relative quality of household food purchases: evidence from Food APS. South Econ J. 2019;86:83–105. https://doi.org/10.1002/soej.12363.
Powell LM, Chriqui JF, Khan T, Wada R, Chaloupka FJ. Assessing the potential effectiveness of food and beverage taxes and subsidies for improving public health: a systematic review of prices, demand and body weight outcomes. Obes Rev. 2013;14:110–28. https://doi.org/10.1111/obr.12002.
Donnelly GE, Zatz LY, Svirsky D, John LK. The effect of graphic warnings on sugary-drink purchasing. Psychol Sci. 2018;29:1321–33. https://doi.org/10.1177/0956797618766361.
•• Strings S. Fearing the black body the racial origins of fat phobia. 1st ed. New York: New York University Press; 2019. Explores the history of fat phobia, particularly in regard to Black bodies. Challenges scholars to question the medical motives behind body mass index and obesity among Black women and to acknowledge the racist core of fat phobia.
•• Anekwe CV, Jarrell AR, Townsend MJ, Gaudier GI, Hiserodt JM, Stanford FC. Socioeconomics of obesity. Curr Obes Rep 2020;9:272–9. https://doi.org/10.1007/s13679-020-00398-7. Synthesizes literature on socioeconomic factors contributing to obesity on individual and community levels and emphasizes the need for treatment approaches to be multi-faceted addressing both levels.
Creamer J. Inequalities persist despite decline in poverty for all major race and Hispanic origin groups. 2020. https://www.census.gov/library/stories/2020/09/poverty-rates-forblacks-and-hispanics-reached-historic-lows-in-2019.html#:~:text=Poverty%20rates%20declined%20between%202018,Hispanics%2C%20it%20was%2015.
U.S. Department of Education. Advancing diversity and inclusion in higher education: key data highlights focusing on race and ethnicity and promising practices. 2016. http://www2.ed.gov/rschstat/research/pubs/advancing-diversity-inclusion.pdf.
Sim AY, Lim EX, Leow MK, Cheon BK. Low subjective socioeconomic status stimulates orexigenic hormone ghrelin — a randomised trial. Psychoneuroendocrinology. 2018;89:103–12. https://doi.org/10.1016/j.psyneuen.2018.01.006.
Cheon BK, Hong YY. Mere experience of low subjective socioeconomic status stimulates appetite and food intake. Proc Natl Acad Sci. 2017;114:72–7. https://doi.org/10.1073/pnas.1607330114.
Lee AM, Huo T, Miller D, Gurka MJ, Thompson LA, Modave FP, et al. The effects of experimentally manipulated social status and subjective social status on physical activity among Hispanic adolescents: an RCT. Pediatr Obes. 2022;17:e12877. https://doi.org/10.1111/ijpo.12877.
Cardel MI, Pavela G, Janicke D, Huo T, Miller D, Lee AM, et al. Experimentally manipulated low social status and food insecurity alter eating behavior among adolescents: a randomized controlled trial. Obesity. 2020;28:2010–9. https://doi.org/10.1002/oby.23002.
Tomiyama JA. Stress and obesity. Annu Rev of Psychol. 2019;70:703–18. https://doi.org/10.1146/annurev-psych-010418-102936.
•• Williams DR, Lawrence JA, Davis BA. Racism and health: evidence and needed research. Annu Rev Public Health. 2019;40:105–25. https://doi.org/10.1146/annurev-publhealth-040218-043750. Discusses multiple types/levels of racism and its connection to physical and mental health among minorities populations. Outlines recommendations for research on discrimination and health.
Hunte HE, Williams DR. The association between perceived discrimination and obesity in a population-based multiracial and multiethnic adult sample. Am J Public Health. 2009;99:1285–92. https://doi.org/10.2105/AJPH.2007.128090.
• Brown KL, Hines AL, Hagiwara N, Utsey S, Perera RA, LaRose JG. The weight of racial discrimination: examining the association between racial discrimination and change in adiposity among emerging adult women enrolled in a behavioral weight loss program. J Racial Ethn Health Disparities. 2022:909–20. https://doi.org/10.1007/s40615-021-01030-7. Investigates the relationship between racial discrimination and treatment response as well as explores possible risk and protective factors in emerging adults enrolled in an adapted behavioral weight loss program.
Hunte HE. Association between perceived interpersonal everyday discrimination and waist circumference over a 9-year period in the midlife development in the United States cohort study. Am J Epidemiol. 2011;173:1232–9. https://doi.org/10.1093/aje/kwq463.
Smart JF, Smart DW. Acculturative stress: the experience of the Hispanic immigrant. Couns Psychol. 1995;23:25–42. https://doi.org/10.1177/0011000095231003.
Cuy CD. Dietary acculturation in Latinos/Hispanics in the United States. Am J Lifestyle Med. 2015;9:31–6. https://doi.org/10.1177/1559827614552960.
Delavari M, Sønderlund AL, Swinburn B, Mellor D, Renzaho A. Acculturation and obesity among migrant populations in high income countries—a systematic review. BMC Public Health. 2013;13:458. https://doi.org/10.1186/1471-2458-13-458.
•• Goode RW, Cowell MM, Mazzeo SE, et al. Binge eating and binge-eating disorder in Black women: a systematic review. Int J Eat Disord. 2020;53:491–507. https://doi.org/10.1002/eat.23217. Synthesizes literature on the prevalence and treatment of binge eating and binge eating disorder in Black women. Highlights the lack of access to and underutilization of binge eating and binge eating disorder treatment.
Rodgers RF, Berry R, Franko DL. Eating disorders in ethnic minorities: an update. Curr Psychiatry Rep. 2018;20:90. https://doi.org/10.1007/s11920-018-0938-3.
Cachelin FM, Thomas C, Vela A, Gil-Rivas V. Associations between meal patterns, binge eating, and weight for Latinas. Int J Eat Disord. 2017;50:32–9. https://doi.org/10.1002/eat.22580.
Cachelin FM, Striegel-Moore RH. Help seeking and barriers to treatment in a community sample of Mexican American and European American women with eating disorders. Int J Eat Disord. 2006;39:154–61. https://doi.org/10.1002/eat.20213.
Capodilupo CM, Kim S. Gender and race matter: the importance of considering intersections in Black women’s body image. J Couns Psychol. 2014;61:37–49. https://doi.org/10.1037/a0034597.
Kelch-Oliver K, Ancis JR. Black women’s body image: an analysis of culture-specific influences. Women Ther. 2011;34:345–58. https://doi.org/10.1080/02703149.2011.592065.
Mama SK, Quill BE, Fernandez-Esquer ME, Reese-Smith JY, Banda JA, Lee RE. Body image and physical activity among Latina and African American women. Ethn Dis. 2011;21:281–287. https://www.ethndis.org/priorarchives/ethn-21-03-281.pdf.
• Quiñones IC, Herbozo S, Haedt-Matt AA. Body dissatisfaction among ethnic subgroups of Latin women: an examination of acculturative stress and ethnic identity. Body Image. 2022;41:272–83. https://doi.org/10.1016/j.bodyim.2022.03.006. Examines the roles of acculturative stress and ethnic identification in the association between body dissatisfaction and ethnic subgroup as well as the role of ethnic identification in the association between acculturative stress and body dissatisfaction.
• Boutté RL, Burnette CB, Mazzeo SE. BMI and disordered eating in black college women: the potential mediating role of body appreciation and moderating role of ethnic identity. J Black Psychol. 2022. https://doi.org/10.1177/00957984211069064. Evaluate the associations among body appreciation, body dissatisfaction, and disordered eating in Black women as well as the role of body appreciation and ethnic identity in the association between body mass index and disordered eating.
Cho S, Crenshaw KW, McCall L. Toward a field of intersectionality studies: theory, applications, and praxis. Signs J Women Cult Soc. 2013;38:785–810. https://doi.org/10.1086/669608.
Crenshaw KW. Demarginalizing the intersection of race and sex: a Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics, University of Chicago Legal Forum. 1989:139–167. https://heinonline.org/HOL/LandingPage?handle=hein.journals/droitsc108&div=17&id=&page=.
Lewis JA, Mendenhall R, Harwood SA, Huntt MB. Coping with gendered racial microaggressions among Black women college students. J Afr Am Stud. 2013;17:51–73. https://doi.org/10.1007/s12111-012-9219-0.
Williamson DA. Fifty years of behavioral/lifestyle interventions for overweight and obesity: where have we been and where are we going? Obesity. 2017;25:1867–75. https://doi.org/10.1002/oby.21914.
• Wadden TA, Tronieri JS, Butryn ML. Lifestyle modification approaches for the treatment of obesity in adults. Am Psychol. 2020;75:235–51. https://doi.org/10.1002/oby.21914. Reviews the key components of comprehensive lifestyle modification and summarizes the efficacy of lifestyle interventions and use of new technology and evolving delivery methods.
Wingo BC, Carson TL, Ard J. Differences in weight loss and health outcomes among African Americans and whites in multicentre trials. Obes Rev. 2014;15:46–61. https://doi.org/10.1111/obr.12212.
West DS, Elaine Prewitt T, Bursac Z, Felix HC. Weight loss of black, white, and Hispanic men and women in the Diabetes Prevention Program. Obesity. 2008;16:1413–20. https://doi.org/10.1038/oby.2008.224.
•• Blackman Carr LT, Samuel-Hodge CD, Ward DS, Evenson KR, Bangdiwala SI, Tate DF. Comparative effectiveness of a standard behavioral and physical activity enhanced behavioral weight loss intervention in Black women. Women Health. 2020;60:676–91. https://doi.org/10.1080/03630242.2019.1700585. Investigates the effectiveness of culturally relevant, physical activity-enhanced behavioral weight loss intervention to a standard behavioral weight loss intervention in Black women during a 6-month period.
Ard JD, Carson TL, Shikany JM, Li Y, Hardy CM, Robinson JC, et al. Weight loss and improved metabolic outcomes amongst rural African American women in the Deep South: six-month outcomes from a community-based randomized trial. J Intern Med. 2017;282:102–13. https://doi.org/10.1111/joim.12622.
Sbrocco T, Carter MM, Lewis EL, Vaughn NA, Kalupa KL, King S, et al. Church-based obesity treatment for African-American women improves adherence. Ethn Dis. 2005;15:246–55.
Butryn ML, Forman EM, Lowe MR, Gorin AA, Zhang F, Schaumberg K. Efficacy of environmental and acceptance-based enhancements to behavioral weight loss treatment: the ENACT trial. Obesity. 2017;25:866–72. https://doi.org/10.1002/oby.21813.
Corona E, Flores YN, Arab L. Trends in evidence-based lifestyle interventions directed at obese and overweight adult Latinos in the US: a systematic review of the literature. J Community Health. 2016;41:667–73. https://doi.org/10.1007/s10900-015-0119-9.
Koniak-Griffin D, Brecht ML, Takayanagi S, Villegas J, Melendrez M, Balcázar HA. Community health worker-led lifestyle behavior intervention for Latina (Hispanic) women: feasibility and outcomes of a randomized controlled trial. Int J Nurs Stud. 2015;52:75–87. https://doi.org/10.1016/j.ijnurstu.2014.09.005.
Carlos Poston WS, Reeves RS, Haddock CK, Stormer S, Balasubramanyam A, Satterwhite O, et al. Weight loss in obese Mexican Americans treated for 1-year with orlistat and lifestyle modification. Int J Obes. 2003;27:1486–93. https://doi.org/10.1038/sj.ijo.0802439.
Marquez B, Anderson A, Wing RR, West DS, Newton RL, Meacham M, et al. The relationship of social support with treatment adherence and weight loss in Latinos with type 2 diabetes. Obesity. 2016;24:568–75. https://doi.org/10.1002/oby.21382.
Walker RE, Gordon M. The use of lifestyle and behavioral modification approaches in obesity interventions for black women: a literature review. Health Educ Behav. 2014;41:242–58. https://doi.org/10.1177/1090198113492768.
Yanovski SZ, Yanovski JA. Progress in pharmacotherapy for obesity. JAMA. 2021;326:129–30. https://doi.org/10.1001/jama.2021.9486.
Jastreboff AM, Aronne LJ, Ahmad NN, Wharton S, Connery L, Alves B, et al. Tirzepatide once weekly for the treatment of obesity. New Eng J Med. 2022;387:205–16. https://doi.org/10.1056/NEJMoa2206038.
Khera R, Murad MH, Chandar AK, Dulai PS, Wang Z, Prokop LJ, et al. Association of pharmacological treatments for obesity with weight loss and adverse events: a systematic review and meta-analysis. JAMA. 2016;315:2424–34. https://doi.org/10.1001/jama.2016.7602.
Shi Q, Wang Y, Hao Q, Vandvik PO, Guyatt G, Li J, et al. Pharmacotherapy for adults with overweight and obesity: a systematic review and network meta-analysis of randomised controlled trials. Lancet. 2022;399:259–69. https://doi.org/10.1016/S0140-6736(21)01640-8. Synthesizes the literature on anti-obesity medication and examines the efficacy of anti-obesity medication for adults. Identifies phentermine–topiramate as highly effective compared to lifestyle modification alone.
Wilding JP, Batterham RL, Calanna S, Davies M, Van Gaal LF, Lingvay I, et al. Once-weekly semaglutide in adults with overweight or obesity. N Engl J Med. 2021;384:989–1002. https://doi.org/10.1056/NEJMoa2032183.
•• Osei-Assibey G, Adi Y, Kyrou I, Kumar S, Matyka K. Pharmacotherapy for overweight/obesity in ethnic minorities and White Caucasians: a systematic review and meta-analysis. Diabetes Obes Metab. 2011;13:385–93. https://doi.org/10.1111/j.1463-1326.2010.01346.x. Synthesizes the literature on anti-obesity medications and compares the efficacy of anti-obesity medication between ethnic minorities and White Caucasians. Highlights that few studies were identified for comparison which prevented analyses by ethnic groups.
O’Neil PM, Garvey WT, Gonzalez-Campoy JM, Mora P, Ortiz RV, Guerrero G, Claudius B, Pi-Sunyer X. Effects of liraglutide 3.0 mg on weight and risk factors in Hispanic versus non-Hispanic populations: subgroup analysis from scale randomized trials. Endocr Pract. 2016;22:1277–87. https://doi.org/10.4158/EP151181.OR.
Elangovan A, Shah R, Smith ZL. Pharmacotherapy for obesity—trends using a population level national database. Obes Surg. 2021;31:1105–12. https://doi.org/10.1007/s11695-020-04987-2.
Xing S, Sharp LK, Touchette DR. Weight loss drugs and lifestyle modification: perceptions among a diverse adult sample. Patient Educ Couns. 2017;100:592–7. https://doi.org/10.1016/j.pec.20161.004.
Courcoulas AP, King WC, Belle SH, Berk P, Flum DR, Garcia L, et al. Seven-year weight trajectories and health outcomes in the Longitudinal Assessment of Bariatric Surgery (LABS) study. JAMA Surg. 2018;153:427–34. https://doi.org/10.1001/jamasurg.2017.5025.
Howard R, Chao GF, Yang J, Thumma JR, Arterburn DE, Telem DA, et al. Medication use for obesity-related comorbidities after sleeve gastrectomy or gastric bypass. JAMA Surg. 2022;157:248–56. https://doi.org/10.1001/jamasurg.2021.6898.
Aminian A, Tu C, Milinovich A, Wolski KE, Kattan MW, Nissen SE. Association of weight loss achieved through metabolic surgery with risk and severity of COVID-19 infection. JAMA Surg. 2022;157:221–30. https://doi.org/10.1001/jamasurg.2021.6496.
Byrd AS, Toth AT, Stanford FC. Racial disparities in obesity treatment. Curr Obes Rep. 2018;7:130–8. https://doi.org/10.1007/s13679-018-0301-3.
Altieri MS, Yang J, Yin D, Talamini MA, Spaniolas K, Pryor AD. Patients insured by Medicare and Medicaid undergo lower rates of bariatric surgery. Surg Obes Relat Dis. 2019;15:2109–14. https://doi.org/10.1016/j.soard.2019.05.001.
•• Johnson-Mann C, Martin AN, Williams MD, Hallowell PT, Schirmer B. Investigating racial disparities in bariatric surgery referrals. Surg Obes Relat Dis. 2019;15:615–20. https://doi.org/10.1016/j.soard.2019.02.002. Evaluates referral patterns for bariatric surgery from a primary care clinic among Black, Latino, and white adults.
•• Kröner Florit PT, Corral Hurtado JE, Wijarnpreecha K, Elli EF, Lukens FJ. Bariatric surgery, clinical outcomes, and healthcare burden in Hispanics in the USA. Obes Surg. 2019;29:3646–52. https://doi.org/10.1007/s11695-019-04047-4. Investigates the utilization of bariatric surgery and associated healthcare outcomes in Latino adults compared to non-Latino adult using national database.
Sundaresan N, Roberts A, Thompson KJ, McKillop IH, Barbat S, Nimeri A. Examining the Hispanic paradox in bariatric surgery. Surg Obes Relat Dis. 2020;16:1392–400. https://doi.org/10.1016/j.soard.2020.06.009.
Hoffman AB, Myneni AA, Orom H, Schwaitzberg SD, Noyes K. Disparity in access to bariatric surgery among African-American men. Surg Endosc. 2020;34:2630–7. https://doi.org/10.1007/s00464-019-07034-z.
•• Turner M, Vigneswaran Y, Dewey E, Wolfe BM, Stroud AM, Spight D, et al. Weight loss and co-morbidity resolution between different races and ethnicities after gastric bypass. Surg Obes Relat Dis. 2019;15:1943–8. https://doi.org/10.1016/j.soard.2019.09.061. Examines weight-loss and remission of obesity-related co-morbidities by race and ethnicity in multicenter, observational study over a 5-year follow-up.
Istfan N, Anderson WA, Apovian C, Ruth M, Carmine B, Hess D. Racial differences in weight loss, hemoglobin A1C, and blood lipid profiles after Roux-en-Y gastric bypass surgery. Surg Obes Relat Dis. 2016;12:1329–36. https://doi.org/10.1016/j.soard.2015.12.028.
•• Thomas DD, Anderson WA, Apovian CM, Hess DT, Yu L, Velazques A, et al. Weight recidivism after Roux-en-Y gastric bypass surgery: an 11-year experience in a multiethnic medical center. Obesity. 2019;27:217–25. https://doi.org/10.1002/oby.22360. Examines influence of race and type 2 diabetes on weight recidivism after Roux-en-Y gastric bypass surgery at a single center.
Coleman KJ, Brookey J. Gender and racial/ethnic background predict weight loss after Roux-en-Y gastric bypass independent of health and lifestyle behaviors. Obes Surg. 2014;24:1729–36. https://doi.org/10.1007/s11695-014-1268-0.
Khorgami Z, Arheart KL, Zhang C, Messiah SE, de la Cruz-Muñoz N. Effect of ethnicity on weight loss after bariatric surgery. Obes Surg. 2015;25:769–76. https://doi.org/10.1007/s11695-014-1474-9.
King RA, Patel KC, Mark VM, Shah A, Laferrère B. Role of ethnicity on weight loss and attrition after bariatric surgery. Obes Surg. 2019;29:3577–80. https://doi.org/10.1007/s11695-019-04029-6.
•• Mocanu V, Dang JT, Switzer N, Madsen K, Birch DW, Karmali S. Sex and race predict adverse outcomes following bariatric surgery: an MBSAQIP analysis. Obes Surg. 2020;30:1093–101. https://doi.org/10.1007/s11695-020-04395-6. Investigates predictive factors for mortality and major complications following bariatric surgery using the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program data registry.
Nafiu OO, Mpody C, Michalsky MP, Tobias JD. Unequal rates of postoperative complications in relatively healthy bariatric surgical patients of white and black race. Surg Obes Relat Dis. 2021;17:1249–55. https://doi.org/10.1016/j.soard.2021.04.011.
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Sylvia Herbozo, Kristal Lyn Brown, Natasha L. Burke, and Jessica Gokee LaRose declare that they have no conflict of interest.
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Author note: We capitalize Black to increase awareness about the marginalization of Black identity. Given that capitalizing the word “white” may support white supremacy, we also use lower case while referring to “white” (see https://www.cjr.org/analysis/capital-b-black-styleguide.php for more information).
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Herbozo, S., Brown, K.L., Burke, N.L. et al. A Call to Reconceptualize Obesity Treatment in Service of Health Equity: Review of Evidence and Future Directions. Curr Obes Rep 12, 24–35 (2023). https://doi.org/10.1007/s13679-023-00493-5
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DOI: https://doi.org/10.1007/s13679-023-00493-5