Methods for structural sexism and population health research: Introducing a novel analytic framework to capture life-course and intersectional effects.

Accumulating evidence links structural sexism to gendered health inequities, yet methodological challenges have precluded comprehensive examinations into life-course and/or intersectional effects. To help address this gap, we introduce an analytic framework that uses sequential conditional mean models (SCMMs) to jointly account for longitudinal exposure trajectories and moderation by multiple dimensions of social identity/position, which we then apply to study how early life-course exposure to U.S. state-level structural sexism shapes mental health outcomes within and between gender groups. Data came from the Growing Up Today Study, a cohort of 16,875 children aged 9-14 years in 1996 who we followed through 2016. Using a composite index of relevant public policies and societal conditions (e.g., abortion bans, wage gaps), we assigned each U.S. state a year-specific structural sexism score and calculated participants' cumulative exposure by averaging the scores associated with states they had lived in during the study period, weighted according to duration of time spent in each. We then fit a series of SCMMs to estimate overall and group-specific associations between cumulative exposure from baseline through a given study wave and subsequent depressive symptomology; we also fit models using simplified (i.e., non-cumulative) exposure variables for comparison purposes. Analyses revealed that cumulative exposure to structural sexism: (1) was associated with significantly increased odds of experiencing depressive symptoms by the subsequent wave; (2) disproportionately impacted multiply marginalized groups (e.g., sexual minority girls/women); and (3) was more strongly associated with depressive symptomology compared to static or point-in-time exposure operationalizations (e.g., exposure in a single year). Substantively, these findings suggest that long-term exposure to structural sexism may contribute to the inequitable social patterning of mental distress among young people living in the U.S. More broadly, the proposed analytic framework represents a promising approach to examining the complex links between structural sexism and health across the life course and for diverse social groups.

Gender health equity: The case for including men's health.

United States' federal policy and infrastructure fail to explicitly consider the health of men, particularly the poor health of marginalized men. This inattention to men's health hinders the nation's ability to improve population health, to achieve gender health equity, and to achieve health equity more broadly. Expanding efforts to consider gender in federal policy and infrastructure to include men, naming men as a population whose poor health warrants policy attention, creating offices of men's health in federal agencies, and utilizing an intersectional lens to develop and analyze policies that affect health would likely yield critical improvements in population health and health equity in the United States. Using data from the Centers for Disease Control and Prevention, I illustrate the persistence of sex differences in mortality and leading causes of death, and how these patterns mask gender gaps in health that are driven largely by marginalized men. Given the common practice of presenting data by sex and race separately, it is difficult to recognize when the health of specific groups of men warrants attention. I utilize the case of Black men to illustrate the importance of an intersectional approach, and why men's health is critical to achieving gender and racial equity in health. While a gender mainstreaming approach has enhanced the nation's ability to consider and address the health of women and girls, it has not expanded to be inclusive of boys and men. Consequently, I argue that if our goal is to achieve health equity, it is critical to employ an intersectional approach that simultaneously considers the full range of factors that influence individual and population health and well-being. An intersectional approach would facilitate efforts to simultaneously explore strategies to achieve racial, ethnic, and gender health equity, which are driven by structural determinants beyond sex and gender related factors.

Rural Health Disparities in Skin Cancer Amplified Among Skin of Color.

Limited studies explore the role social determinants of health have on urban-rural health disparities, particularly for Skin of Color. To further evaluate this relationship, a cross-sectional study was conducted on data from five states using the 2018 to 2021 Behavior Risk Factor Surveillance Survey, a national state-run health survey. Prevalence of skin cancer history and urban/rural status were evaluated across these social determinants of health: sex, age, race, insurance status, number of personal healthcare providers, and household income. Overall, rural counterparts were significantly more likely to have a positive skin cancer history across most social determinants of health. Rural populations had a higher prevalence of skin cancer history across all races (P<.001). Rural non-Hispanic Whites had greater odds than their urban counterparts (OR=1.40; 95% CI 1.34 - 1.46). The odds were approximately twice as high for rural Black (OR=1.74; 95% CI 1.14 - 2.65), Hispanic (OR=2.31; 95% CI 1.56 - 3.41), and Other Race, non-Hispanic (OR=1.99; 95% CI 1.51 - 2.61), and twenty times higher for Asians (OR=20.46; 95% CI 8.63 - 48.54), although no significant difference was seen for American Indian/Alaskan Native (OR=1.5; 95% CI 0.99 - 2.28). However, when household income exceeded $100,000 no significant difference in prevalence or odds was seen between urban and rural settings. Despite increasing awareness of metropolitan-based health inequity, urban-rural disparities in skin cancer prevalence continue to persist and may be magnified by social determinants such as income and race. J Drugs Dermatol. 2024;23(6):480-484.    doi:10.36849/JDD.8094.

Loneliness shapes disparities in healthy life expectancy: a multi-state analysis from China.

OBJECTIVES: To assess the influence of loneliness on the healthy life expectancy of older adults in China and its gender disparities across different health indicators, in order to provide insights for enhancing the health status and subjective well-being of the older population. METHOD: We conducted a cohort analysis using four waves of weighted samples (2008, 2011, 2014, and 2018) from the Chinese Longitudinal Healthy Longevity Survey, encompassing 15,507 respondents aged 65-99. Physical and subjective health were assessed through activity of daily living (ADL) and self-rated health (SRH), respectively. Utilizing loneliness status as a time-variant variable, we employed the multi-state interpolated Markov Chain to explore the associations between loneliness and age-specific life expectancy (LE), healthy life expectancy (HLE), and the proportion of healthy life expectancy in life expectancy (HLE/LE). RESULTS: Compared to the non-lonely population, both LE and HLE were lower among lonely individuals. Regarding gender differences, the HLE/LE for females in the lonely population was consistently lower than that for males. The impact of loneliness on the health of older adults varied by measurement indicators and gender. Specifically, based on ADL results, the decline in HLE/LE was greater for females, with a decline of 53.6% for lonely females compared to 51.7% for non-lonely females between the ages of 65 and 99. For males, the decline was 51.4% for lonely males and 51.5% for non-lonely males. According to SRH, the gender difference in the decline of HLE/LE due to loneliness was less apparent. For males, the change in HLE/LE for non-lonely individuals was 3.4%, compared to 4.2% for lonely individuals, whereas for females, the change was 3.7% for non-lonely individuals and 4.4% for lonely individuals. CONCLUSION: Loneliness exerts varied effects on health across different measurement indicators and gender demographics. Targeted health promotion interventions are imperative to mitigate these negative impacts, particularly emphasizing the enhancement of subjective well-being and physical functioning, especially among older adult females.

Differential impacts of health systems and sociocultural environment on vulnerable populations during the COVID-19 pandemic: lessons from four Asia-Pacific countries.

BACKGROUND: This study aims to evaluate healthcare systems and pandemic responses in relation to marginalized and vulnerable groups, identify populations requiring urgent care, and assess the differential impacts on their health during the pandemic. METHODS: Data were collected by the Asia-Pacific Observatory on Health Systems and Policies (APO)-National University of Singapore and APO-International Health Policy Program consortium members: Korea, Indonesia, Philippines, and Singapore. Data were collected through a combination of semi-structured interviews, policy document reviews, and analysis of secondary data. RESULTS: Our findings reveal that the pandemic exacerbated existing health disparities, particularly affecting older adults, women, and children. Additionally, the study identified LGBTI individuals, healthcare workers, slum dwellers, and migrant workers as groups that faced particularly severe challenges during the pandemic. LGBTI individuals encountered heightened discrimination and limited access to health services tailored to their needs. Healthcare workers suffered from immense stress and risk due to prolonged exposure to the virus and critical working conditions. Slum dwellers struggled with healthcare access and social distancing due to high population density and inadequate sanitation. Migrant workers were particularly hard hit by high risks of virus transmission and stringent, often discriminatory, isolation measures that compounded their vulnerability. The study highlights the variation in the extent and nature of vulnerabilities, which were influenced by each country's specific social environment and healthcare infrastructure. It was observed that public health interventions often lacked the specificity required to effectively address the needs of all vulnerable groups, suggesting a gap in policy and implementation. CONCLUSIONS: The study underscores that vulnerabilities vary greatly depending on the social environment and context of each country, affecting the degree and types of vulnerable groups. It is critical that measures to ensure universal health coverage and equal accessibility to healthcare are specifically designed to address the needs of the most vulnerable. Despite commonalities among groups across different societies, these interventions must be adapted to reflect the unique characteristics of each group within their specific social contexts to effectively mitigate the impact of health disparities.

Temporal trends in disparities in COVID-19 seropositivity among Canadian blood donors.

BACKGROUND: In Canada's largest COVID-19 serological study, SARS-CoV-2 antibodies in blood donors have been monitored since 2020. No study has analysed changes in the association between anti-N seropositivity (a marker of recent infection) and geographic and sociodemographic characteristics over the pandemic. METHODS: Using Bayesian multi-level models with spatial effects at the census division level, we analysed changes in correlates of SARS-CoV-2 anti-N seropositivity across three periods in which different variants predominated (pre-Delta, Delta and Omicron). We analysed disparities by geographic area, individual traits (age, sex, race) and neighbourhood factors (urbanicity, material deprivation and social deprivation). Data were from 420 319 blood donations across four regions (Ontario, British Columbia [BC], the Prairies and the Atlantic region) from December 2020 to November 2022. RESULTS: Seropositivity was higher for racialized minorities, males and individuals in more materially deprived neighbourhoods in the pre-Delta and Delta waves. These subgroup differences dissipated in the Omicron wave as large swaths of the population became infected. Across all waves, seropositivity was higher in younger individuals and those with lower neighbourhood social deprivation. Rural residents had high seropositivity in the Prairies, but not other regions. Compared to generalized linear models, multi-level models with spatial effects had better fit and lower error when predicting SARS-CoV-2 anti-N seropositivity by geographic region. CONCLUSIONS: Correlates of recent COVID-19 infection have evolved over the pandemic. Many disparities lessened during the Omicron wave, but public health intervention may be warranted to address persistently higher burden among young people and those with less social deprivation.

Medical insurance benefits and health inequality: evidence from rural China.

Alleviating health inequality among different income groups has become a significant policy goal in China to promote common prosperity. Based on the data from the China Health and Retirement Longitudinal Study (CHARLS) covering the period from 2013 to 2018, this study empirically examines the impact of Integrated Medical Insurance System (URRBMI) on the health and health inequality of older adult rural residents. The following conclusions are drawn: First, URRBMI have elevated the level of medical security, reduced the frailty index of rural residents, and improved the health status of rural residents. Second, China exhibits "pro-rich" health inequality, and URRBMI exacerbates health inequality among rural residents with different incomes. This result remains robust when replacing the frailty index with different health modules. Third, the analysis of influencing mechanisms indicates that the URRBMI exacerbate inequality in the utilization of medical services among rural residents, resulting in a phenomenon of "subsidizing the rich by the poor" and intensifying health inequality. Fourth, in terms of heterogeneity, URRBMI have significantly widened health inequality among the older adult and in regions with a higher proportion of multiple-tiered medical insurance schemes. Finally, it is suggested that China consider establishing a medical financing and benefit assurance system that is related to income and age and separately construct a unified public medical insurance system for the older adult population.

Gender/Sex Disparities in the COVID-19 Cascade From Testing to Mortality: An Intersectional Analysis of Swiss Surveillance Data.

Objectives: This study investigates gender and sex disparities in COVID-19 epidemiology in the Canton of Vaud, Switzerland, focusing on the interplay with socioeconomic position (SEP) and age. Methods: We analyzed COVID-19 surveillance data from March 2020 to June 2021, using an intersectional approach. Negative binomial regression models assessed disparities between women and men, across SEP quintiles and age groups, in testing, positivity, hospitalizations, ICU admissions, and mortality (Incidence Rate Ratios [IRR], with 95% Confidence Intervals [CI]). Results: Women had higher testing and positivity rates than men, while men experienced more hospitalizations, ICU admissions, and deaths. The higher positivity in women under 50 was mitigated when accounting for their higher testing rates. Within SEP quintiles, gender/sex differences in testing and positivity were not significant. In the lowest quintile, women's mortality risk was 68% lower (Q1: IRR 0.32, CI 0.20-0.52), with decreasing disparities with increasing SEP quintiles (Q5: IRR 0.66, CI 0.41-1.06). Conclusion: Our findings underscore the complex epidemiological patterns of COVID-19, shaped by the interactions of gender/sex, SEP, and age, highlighting the need for intersectional perspectives in both epidemiological research and public health strategy development.

Public healthcare disparities in Africa: the food production systems and its dichotomy in a South African context.

One of the major concerns of development in Africa is the issue of public health. In Africa, public healthcare has been and still is a problem most African countries are faced with. The problem of public healthcare seems to be unabated even though there are measures that are put in place for its effectiveness. There is hunger, malnutrition, high mortality rate, illnesses and deterioration of life expectancy in most developing countries of Africa. The dramatic unprecedented public health disparity has become a scourge in developing countries where it has purportedly impaired the developmental efforts, economic growth and prosperity. As a result, there is a need to scrutinize possible causes that exacerbates public health issues in developing countries. The paper argues that the current food production system (conventional) contributes to current status of public health as compared to the previous food production system (organic). The purpose of this paper is to conceptualize public healthcare disparities, juxtaposing organic and conventional food production that result as human food consumption. The paper employs literature-based analysis as a methodology to assemble data in respect of public healthcare disparities and food production systems.

Mental health inequality between urban and rural youth under COVID-19 from survey data from China.

Background: While health inequality has been the focus of past scholarly discussions, COVID-19's outbreak and spread have provided a new arena for discussing health inequality, particularly in the context of urban-rural disparities in China. This paper explores the impact of COVID-19 on urban-rural health inequality, and the roles played by socioeconomic status and social capital. Methods: A cross-sectional observational collected data on demographics, mental health, socioeconomic status, and social capital. An online survey was administered from August 27 to August 30, 2020, and, 1936 valid samples were received. Mental health was measured using the Brief Symptom Inventory (BSI-18). This study applied the ordinary least squares regression (OLS) model, and data analysis was performed using STATA. Results: There were 1936 participants, with an equal distribution of genders. Multiple regression analysis showed that the mental health levels of rural youth were superior to those of urban youth (p = 0.049), especially when the epidemic was not severe (p = 0.013). Socioeconomic status had a significant positive promotion effect on mental health (p = 0.008), but the interaction effect between socioeconomic status and the urban-rural divide indicated that the promotion effect of socioeconomic status on the mental health of urban youth was greater than that of rural youth (p = 0.04). Social capital had a significant positive promotion effect on mental health (p = 0.000), and the interaction effect indicated that this promoting effect did not differ between urban and rural areas (p > 0.05).

The Ryan White HIV/AIDS Program: Thirty Years of Addressing Health Disparities.

The Ryan White HIV/AIDS Program is a unique federal program to provide HIV care, treatment, and support services for people living with HIV in the United States. Through the distinctive structure of the program that allows for addressing both medical needs and some of the social determinants of health that can pose barriers to accessing care, the program has been instrumental in improving outcomes for people with HIV with documented improvement in HIV viral suppression and decreased disparities in that outcome over the past decade. To reach the goal of ending the HIV epidemic in the U.S., the program must expand services to people with HIV who are not regularly engaged in medical care.

Reimagining Rural Health Equity: Understanding Disparities And Orienting Policy, Practice, And Research In Rural America.

A narrative has taken hold that public health has failed the US. We argue instead that the US has chronically failed public health, and nowhere have these failures been more apparent than in rural regions. Decades of underinvestment in rural communities, health care, and public health institutions left rural America uniquely vulnerable to the COVID-19 pandemic. Rural communities outpaced urban ones in deaths, and many rural institutions and communities sustained significant impacts. At the same time, the pandemic prompted creative actions to meet urgent health and social needs, and it illuminated opportunities to address long-standing rural challenges. This article draws on our cross-disciplinary expertise in public health and medical anthropology, as well as our research on COVID-19 and rural health equity in northern New England. In this Commentary, we articulate five principles to inform research, practice, and policy efforts in rural America. We contend that advancing rural health equity beyond the pandemic requires understanding the forces that generate rural disparities and designing policies and practices that account for rural disadvantage.

Health consequences of structural sexism: Conceptual foundations, empirical evidence and priorities for future research.

A nascent body of work has begun exploring the health consequences of structural sexism. This article provides an overview of the concept of structural sexism and an elaboration of the potential pathways connecting it to health. Next, it reviews existing measurement approaches and the current state of empirical evidence on the relationship between structural sexism and health in the United States. Finally, it highlights key priorities for future research, which include: expanding and refining measures, increasing public data availability, broadening the scope of inquiry to include a wider range of outcomes, exploring mechanisms, incorporating intersectionality, and applying a life course lens.

Structural heteropatriarchy and maternal cardiovascular morbidities.

The United States has some of the poorest maternal health outcomes of any developed nation. Existing research on maternal cardiovascular morbidities has focused predominantly on individual- and clinic-level drivers, but we know little about community- and structural-level factors that shape these outcomes. We use a composite measure of "structural heteropatriarchy" which includes measures of structural sexism and structural LGB-stigma to examine the relationship between structural heteropatriarchy and three cardiovascular-related maternal morbidities using the National Longitudinal Study of Adolescent to Adult Health (n = 3928). Results using multivariate regressions show that structural heteropatriarchy is associated with increased risk of reporting maternal morbidities. Our findings provide further evidence that sexuality- and gender-based stigma operate together to shape health disparities, including maternal health.

Ageism and lookism as stereotypes of health disparity in intensive care units in Iran: a critical ethnography.

BACKGROUND: The intensive care unit presents structural complexities, and the prevailing power imbalance between patients and staff can lead to health disparities. Hence, unveiling the underlying factors that give rise to and reinforce these disparities can contribute to their prevention. This study aims to shed light on the stereotypes linked to ageism and lookism, which perpetuate health disparities within the intensive care unit setting in Iran. METHODS: This critical ethnographic study employed Carsepkan's approach and was carried out in intensive care units in the west of Iran from 2022 to 2023. The data collection and analysis were conducted through three interconnected stages. In the initial stage, more than 300 h of observations were made at the research site. In the subsequent stage, a horizon analysis was performed. Conversations with 14 informants were conducted in the final stage to enrich the dataset further. Then the analysis process was carried out as in the previous step to uncover an implicit culture of health disparity. To verify the validity and reliability of the study, credibility, conformability, dependability, and transferability were all taken into account. FINDINGS: The ageism and lookism stereotypes emerged from seven main themes; youth-centric; negative ageism; age-friendliness; age-related priority; centered care for pediatric patients and families; appearance-centeredness; and a contradiction between belief and behavior. CONCLUSION: This critical study showed that ageism and lookism stereotypes permeated the intensive care unit's culture. These stereotypes have the potential to influence equality dynamics, as well as to foster and support health disparity in the intensive care unit.

Ethnic Disparities for Survival and Mortality in New Zealand Patients With Head and Neck Cancer.

Importance: It is essential to identify inequitable cancer care for ethnic minority groups, which may allow policy change associated with improved survival and decreased mortality and morbidity. Objective: To investigate ethnic disparities in survival and mortality among New Zealand (NZ) patients with head and neck cancer (HNC) and the association of other variables, including socioeconomic status, tumor stage, and age at diagnosis, with survival rates. Design, Setting, and Participants: This retrospective cohort study was conducted among NZ patients diagnosed with specific HNCs from 2010 to 2020. Anonymized data were obtained from the NZ Cancer Registry, including patients diagnosed from International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes C00-C14 and C30-C32. Data were analyzed from July 2020 through January 2024. Main Outcomes and Measures: Censored Kaplan-Meier estimates were used to analyze survival distribution. Cox regression models were used to estimate the association of age, tumor stage at diagnosis, and socioeconomic status with survival rates. Age-standardized mortality rates were assessed. Results: Among 6593 patients with HNCs (4590 males [69.6%]; 4187 patients aged 51-75 years [63.5%]), there were 706 Maori individuals (10.7%) and 5887 individuals with other ethnicity (89.3%), including 4327 NZ European individuals (65.6%; defined as New Zealanders of European descent). Maori individuals had a decreased survival proportion at all years after diagnosis compared with individuals with other ethnicity (eg, 66.1% [95% CI, 62.6%% to 69.8%] vs 71.2% [95% CI, 70.0% to 72.4%] at 2 years). At 1 year after diagnosis, Maori individuals did not have a significantly increased mortality rate compared with 5795 individuals with other ethnicity with data (193 deaths [27.3%] vs 1400 deaths [24.2%]; P = .06), but the rate was significantly increased at 5 years after diagnosis (277 deaths [39.3%] vs 2034 deaths [35.1%]; P = .03); there was greater disparity compared with NZ European individuals (1 year: 969 deaths [22.4%]; P = .003; 5 years: 1441 deaths [33.3%]; P = .002). There were persistent age-adjusted mortality rate disparities: 40.1% (95% CI, -25.9% to 71.2%) for Maori individuals and 18.8% (95% CI, -15.4% to 24.4%) for individuals with other ethnicity. Maori individuals were diagnosed at a mean age of 58.0 years (95% CI, 57.1-59.1 years) vs 64.3 years. (95% CI, 64.0-64.7 years) for individuals with other ethnicity, or 5 to 7 years younger, and died at mean age of 63.5 years (95% CI, 62.0-64.9 years) compared with 72.3 years (95% CI, 71.8-72.9 years) for individuals with other ethnicity, or 7 to 10 years earlier. Maori individuals presented with proportionally more advanced disease (only localized disease, 102 patients [14.5%; 95% CI, 12.0%-17.4%] vs 1413 patients [24.0%; 95% CI, 22.9%-25.1%]; P < .001) and showed an increase in regional lymph nodes (276 patients [39.1%; 95% CI, 35.5%-42.9%] vs 1796 patients [30.5%; 95% CI, 29.3%-31.8%]; P < .001) at diagnosis compared with individuals with other ethnicity. Socioeconomic status was not associated with survival. Conclusions and Relevance: This study found that Maori individuals experienced worse survival outcomes and greater mortality rates from HNC in NZ and presented with more advanced disease at a younger age. These findings suggest the need for further research to alleviate these disparities, highlight the importance of research into minority populations with HNC globally, and may encourage equity research for all cancers.

Opportunity and accessibility: an environmental scan of publicly available data repositories to address disparities in healthcare decision-making.

BACKGROUND: Health disparities, starkly exposed and exacerbated by coronavirus disease 2019, pose a significant challenge to healthcare system access and health outcomes. Integrating health inequalities into health technology assessment calls for robust analytical methodologies utilizing disaggregated data to investigate and quantify the scope of these disparities. However, a comprehensive summary of population datasets that can be used for this purpose is lacking. The objective of this review was to identify publicly accessible health inequalities data repositories that are potential resources for healthcare decision-making and future health technology assessment submissions. METHODS: An environmental scan was conducted in June of 2023 of six international organizations (World Health Organization, Organisation for Economic Co-operation and Development, Eurostat, United Nations Inter-agency Group for Child Mortality Estimation, the United Nations Sustainable Development Goals, and World Bank) and 38 Organisation for Economic Co-operation and Development countries. The official websites of 42 jurisdictions, excluding non-English websites and those lacking English translations, were reviewed. Screening and data extraction were performed by two reviewers for each data repository, including health indicators, determinants of health, and health inequality metrics. The results were narratively synthesized. RESULTS: The search identified only a limited number of country-level health inequalities data repositories. The World Health Organization Health Inequality Data Repository emerged as the most comprehensive source of health inequality data. Some country-level data repositories, such as Canada's Health Inequality Data Tool and England's Health Inequality Dashboard, offered rich local insights into determinants of health and numerous health status indicators, including mortality. Data repositories predominantly focused on determinants of health such as age, sex, social deprivation, and geography. CONCLUSION: Interactive interfaces featuring data exploration and visualization options across diverse patient populations can serve as valuable tools to address health disparities. The data they provide may help inform complex analytical methodologies that integrate health inequality considerations into healthcare decision-making. This may include assessing the feasibility of transporting health inequality data across borders.

Socioeconomic status and health disparities drive differences in accelerometer-derived physical activity in fatty liver disease and significant fibrosis.

BACKGROUND AND AIMS: The cornerstone of clinical management of patients with nonalcoholic fatty liver disease (NAFLD) are lifestyle changes such as increasing physical activity (PA) aimed at improving cardiometabolic risk. To inform NAFLD prevention and treatment guidelines we aimed to: (i) quantify the role of PA on lowering the risk for NAFLD and fibrosis; (ii) characterize NAFLD and fibrosis association with PA in the context of socioeconomic environment. METHODS: A sample of 2648 participants from the NHANES 2003-2006 was selected to develop survey weighted multivariable logistic regression models for predicting NAFLD and significant fibrosis, diagnosed non-invasively via fatty liver index (FLI) and fibrosis-4 (FIB-4) index. The PA measures were obtained from a hip-worn accelerometer. RESULTS: The predictive model for NAFLD showed AUC of 0.687 and a decrease of 43% in NAFLD risk with moderate vigorous PA (MVPA) (OR = 0.569, p < 0.001). The predictive model for fibrosis had AUC of 0.755 and there was a 48% and a 70% decrease in significant fibrosis risk with MVPA (OR = 0.518, p = 0.022) and total log activity count (TLAC) (OR = 0.296, p = 0.017), respectively. Participants with NAFLD and NAFLD with fibrosis engage in declining PA. Despite having jobs with higher level of PA and participating in more moderate-to-vigorous PA, a larger proportion of Hispanics participants had NAFLD and significant fibrosis. CONCLUSIONS: These findings demonstrate the role of PA as a protective factor against the presence of NAFLD and significant fibrosis. Protective levels of PA in NAFLD differ by races.