Anxiety or Depression Trends by Disability Status and Demographic Intersections in US Adults, 2019-2023
David Adzrago, Kayo Fujimoto, J. Michael Wilkerson, Typhanye V. Dyer, Faustine Williams

TL;DR
This study shows that anxiety and depression rates increased in US adults from 2019 to 2023, especially among those without disabilities and specific demographic groups.
Contribution
The study identifies how mental health trends vary by disability status and intersecting demographic factors like race, sex, and nativity.
Findings
Anxiety or depression prevalence increased significantly among individuals without disabilities from 2019 to 2023.
Black female individuals born outside the US without disabilities had the highest increase in anxiety or depression prevalence.
Males with disabilities and non-US-born individuals without disabilities also showed notable increases in mental health issues.
Abstract
Did anxiety and depression prevalence trends change over time from 2019 to 2023 among US adults across disability status and demographic characteristics? In this cross-sectional study of 150 220 adults, anxiety or depression prevalence increased significantly among individuals without disabilities, with differences by sex, nativity, and racial and ethnic groups. Among individuals with disabilities, prevalence increased in males and individuals born outside the US while Black females born outside the US without disabilities had the highest increase by race and ethnicity, sex, and nativity intersection. These findings suggest the need for tailored mental health interventions that consider disability status and demographic intersections. This cross-sectional study uses data from the National Health Interview Surveys to examine trends in the prevalence of anxiety or depression symptoms…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
| Characteristics | Respondents, No. (%) [95% CI] | ||
|---|---|---|---|
| Overall sample (N = 150 220) | Anxiety or depression (n = 60 248) | ||
| Anxiety/depression | |||
| Yes | 60 248 (42.3) [41.7-42.8] | NA | NA |
| No | 89 972 (57.7) [57.2-58.3] | NA | |
| General disability status | |||
| Yes | 15 519 (8.2) [8.0-8.4] | 8841 (68.8) [67.5-70.2] | <.001 |
| No | 134 701 (91.8) [91.6-92.0] | 51 407 (40.0) [39.5-40.6] | |
| Vision disability | |||
| Yes | 2514 (1.4) [1.3-1.5] | 1451 (64.7) [61.5-68.0] | <.001 |
| No | 147 706 (98.6) [98.5-98.7] | 58 762 (42.0) [41.4-42.5] | |
| Hearing disability | |||
| Yes | 2641 (1.4) [1.3-1.5] | 1391 (62.8) [58.9-66.7] | <.001 |
| No | 147 579 (98.6) [98.5-98.7] | 58 816 (42.0) [41.4-42.5] | |
| Mobility disability | |||
| Yes | 9768 (4.6) [4.4-4.7] | 5274 (65.4) [62.4-68.5] | <.001 |
| No | 140 452 (95.4) [95.3-95.6] | 54 933 (41.1) [40.6-41.7] | |
| Communication disability | |||
| Yes | 1113 (0.8) [0.7-0.9] | 677 (61.2) [56.6-65.8] | <.001 |
| No | 149 107 (99.2) [99.1-99.3] | 59 523 (42.1) [41.6-42.7] | |
| Cognition disability | |||
| Yes | 3733 (2.5) [2.4-2.6] | 2914 (81.9) [80.2-83.5] | <.001 |
| No | 146 487 (97.5) [97.4-97.6] | 57 315 (41.3) [40.8-41.9] | |
| Self-care disability | |||
| Yes | 1743 (1.0) [0.9-1.1] | 1109 (68.7) [64.5-72.8] | <.001 |
| No | 148 477 (99.0) [98.9-99.1] | 59 103 (42.0) [41.4-42.5] | |
| Age, y | |||
| 18-24 | 9312 (11.6) [11.3-11.9] | 5301 (55.2) [53.7-56.7] | <.001 |
| 25-34 | 21 902 (17.6) [17.3-17.9] | 11 634 (51.4) [50.4-52.4] | |
| 35-44 | 23 423 (16.6) [16.3-16.8] | 10 804 (44.2) [43.2-45.1] | |
| 45-64 | 48 814 (32.3) [31.9-32.6] | 19 152 (37.7) [37.1-38.4] | |
| ≥65 | 46 769 (21.9) [21.5-22.3] | 13 357 (28.3) [27.8-28.9] | |
| Self-reported race and ethnicity | |||
| Black | 16 172 (11.9) [11.2-12.7] | 5355 (34.4) [33.3-35.6] | <.001 |
| Hispanic or Latino | 20 427 (17.7) [16.5-19.0] | 7390 (34.0) [33.1-34.9] | |
| Other single and multiple races | 12 221 (8.9) [8.3-9.6] | 4171 (33.1) [32.0-34.2] | |
| White | 101 400 (61.4) [60.0-62.8] | 43 332 (48.3) [47.7-48.8] | |
| Sex | |||
| Female | 81 525 (51.3) [51.0-51.6] | 36 892 (48.6) [47.9-49.3] | <.001 |
| Male | 68 695 (48.7) [48.4-49.0] | 23 356 (35.7) [35.1-36.3] | |
| Nativity | |||
| Born outside the US | 24 169 (18.9] [18.0-19.8] | 7097 (29.2) [28.3-30.0] | <.001 |
| Born in the US | 126 051 (81.1) [80.2-82.0] | 53 151 (45.5) [44.9-46.0] | |
| Survey years | |||
| 2019 | 31 997 (19.8) [19.4-20.1] | 12 113 (39.0) [38.2-39.8] | <.001 |
| 2020 | 31 568 (19.8) [19.5-20.2] | 12 247 (40.5) [39.6-41.3] | |
| 2021 | 29 482 (19.9) [19.6-20.3] | 12 038 (42.5) [41.6-43.4] | |
| 2022 | 27 651 (20.1) [19.7-20.5] | 11 462 (44.7) [43.8-45.5] | |
| 2023 | 29 522 (20.3) [19.8-20.9] | 12 388 (44.7) [43.9-45.5] | |
| Race and ethnicity and disability status | AAPC, % (95% CI) |
|---|---|
| Black | |
| No disability | 4.77 (0.61 to 9.10) |
| With disability | 2.31 (−1.56 to 6.32) |
| Hispanic or Latino | |
| No disability | 3.83 (1.66 to 6.04) |
| With disability | 3.05 (−0.69 to 6.94) |
| Other | |
| No disability | 6.95 (2.56 to 11.53) |
| With disability | 0.19 (−5.28 to 5.98) |
| White | |
| No disability | 3.72 (1.85-5.63) |
| With disability | 1.92 (−2.31 to 6.33) |
| Sex and disability status | AAPC, % (95% CI) |
|---|---|
| Female | |
| No disability | 3.50 (2.14 to 4.87) |
| With disability | 1.02 (−1.42 to 3.53) |
| Male | |
| No disability | 4.62 (1.70 to 7.63) |
| With disability | 3.25 (0.41 to 6.17) |
| Nativity and disability status | AAPC, % (95% CI) |
|---|---|
| Born outside the US | |
| No disability | 5.57 (3.10 to 8.11) |
| With disability | 3.46 (0.06 to 6.98) |
| Born in the US | |
| No disability | 3.75 (2.14 to 5.40) |
| With disability | 1.92 (−1.11 to 5.05) |
| Race and/or ethnicity, sex, nativity, and disability status | AAPC, % (95% CI) |
|---|---|
|
| |
| Born outside the US | |
| No disability | 14.89 (0.48 to 31.36) |
| With disability | 1.71 (−32.07 to 52.27) |
| Born in the US | |
| No disability | 4.57 (−0.41 to 9.80) |
| With disability | 1.79 (−0.60 to 4.24) |
|
| |
| Born outside the US | |
| No disability | 8.26 (3.55 to −13.18) |
| With disability | 5.14 (−15.03 to 30.09) |
| Born in the US | |
| No disability | 4.16 (−0.99 to 9.57) |
| With disability | 2.43 (−7.09 to 12.92) |
|
| |
| Born outside the US | |
| No disability | 3.87 (−1.39 to 9.41) |
| With disability | −1.34 (−11.87 to 10.45) |
| Born in the US | |
| No disability | 1.26 (−2.61 to 5.27) |
| With disability | 0.45 (−11.27 to 13.71) |
|
| |
| Born outside the US | |
| No disability | 5.31 (3.43 to 7.22) |
| With disability | 7.91 (−9.94 to 29.29) |
| Born in the US | |
| No disability | 5.06 (2.26 to 7.95) |
| With disability | 3.50 (−3.34 to 10.83) |
|
| |
| Born outside the US | |
| No disability | 8.46 (−1.12 to 18.97) |
| With disability | 6.00 (−18.57 to 37.98) |
| Born in the US | |
| No disability | 3.09 (−0.56 to 6.87) |
| With disability | −0.31 (−7.99 to 8.00) |
|
| |
| Born outside the US | |
| No disability | 10.68 (−4.39 to 28.12) |
| With disability | −7.75 (−36.79 to 34.63) |
| Born in the US | |
| No disability | 4.53 (−8.40 to 19.29) |
| With disability | 0.31 (−5.67 to 6.67) |
|
| |
| Born outside the US | |
| No disability | −1.07 (−4.64 to 2.63) |
| With disability | −4.94 (−13.95 to 5.01) |
| Born in the US | |
| No disability | 3.45 (2.08 to 4.82) |
| With disability | 1.66 (−1.38 to −4.80) |
|
| |
| Born outside the US | |
| No disability | 7.79 (1.64 to 14.32) |
| With disability | 3.66 (−8.93 to 17.99) |
| Born in the US | |
| No disability | 4.41 (1.02 to 7.92) |
| With disability | 2.76 (−2.58 to 8.39) |
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Taxonomy
TopicsDown syndrome and intellectual disability research · Disability Rights and Representation · Mental Health Treatment and Access
Introduction
Mental health problems, particularly anxiety and depression, the 2 most common and cooccurring mental health disorders,^1,2,3,4^ remain among the top 10 leading causes of disease and injury burdens in the US.^5^ Between 1990 and 2016, anxiety and depression accounted for approximately 31% and 27% increase, respectively, in years lived with disability.^5^ Anxiety and depression increased disability-adjusted life years (ie, the sum of years lived with anxiety- and depression-related disability and years of life lost due to anxiety- and depression-related premature death), by 16.7% and 17.3%, respectively, between 1990 and 2016.^5^ Thus, anxiety and depression disability-adjusted life years represent a health gap between a population’s current health state and a normative goal of living to an advanced age free of disease and disability.^5^
Trends in mental health problems across disability status, especially by intersection of demographic factors, such as race and ethnicity, sex, and nativity, remain understudied. Studies have reported higher mental health distress among US adults with disabilities, particularly among female and White individuals.^6,7^ However, how sex, race and ethnicity, and disability status intersect to influence mental health distress is less explored. US-born individuals have higher rates of mental health problems^8,9^ and disabilities^10,11^ than non–US-born individuals, yet the intersections of mental health, disability, and nativity have not been thoroughly investigated.
Evaluating and monitoring trends in mental health problems with respect to disability status and demographics are essential for identifying health disparities across populations, given the high burdens of mental health problems and disabilities. This population-based study assessed recent temporal trends in mental health problems among US adults by intersections of disability status, domains of disability, and demographics (race and ethnicity, sex, and nativity).
Methods
Data Source, Design, and Samples
This national serial cross-sectional study analyzed data on adults aged at least 18 years derived from 2019 through 2023 National Health Interview Surveys (NHISs). No institutional review board approval or informed consent were required for this study, as the datasets are deidentified and publicly available, in accordance with 45 CFR §46. We reported the results based on Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.
The NHIS is conducted yearly by the US Census Bureau among a nationally representative sample of noninstitutionalized US civilians living in the US.^12,13,14^ The NHIS methods are described in detail elsewhere.^14^ NHIS is a complex survey design with stratified cluster sampling in which households are systematically selected from counties within state boundaries, and individuals are randomly selected from each household.^12,13^ The response rates for the 2019 to 2023 surveys ranged from 47% in 2023 to 59% in 2019. The 2019 to 2023 surveys included 150 220 adults, with a larger sample size in 2019 (31 997 adults) and 2020 (31 568 adults) surveys than in 2023 (29 522 adults), 2021 (29 482 adults), and 2022 (27 651 adults) surveys. Of the total sample of 150 220 adults, 14 852 (9.89%) had missing values on anxiety or depression (3540 [2.36%]), general disability (20 [0.01%]), vision disability (81 [0.05%]), hearing disability (74 [0.05%]), mobility disability (64 [0.04%]), communication disability (51 [0.03%]), cognition disability (83 [0.06%]), self-care disability (53 [0.04%]), nativity (4884 [3.25%]), sex (16 [0.01%]), age (266 [0.24%]), and sexual orientation (5620 [3.74%]). There were no missing values on race and ethnicity and survey year. We used multiple imputations by chained equations with 20 datasets to impute missing values for the aforementioned variables.
Measures
The primary outcome was self-reported anxiety and/or depression symptoms (hereinafter, anxiety or depression symptoms), which were assessed with 2 survey questions derived from the Washington Group on Disability Statistics Extended Set on Functioning. The first question asked participants how often they feel worried, nervous, or anxious. The second question asked them how often they feel depressed. The response options for each question include whether the participants experienced the symptoms daily, weekly, monthly, a few times a year, or never. Based on existing literature,^15,16^ we dichotomized the response options: participants had anxiety or depression symptoms if they reported daily, weekly, or monthly symptoms. Otherwise, participants did not have anxiety or depression symptoms if they reported the symptoms a few times a year or never had the symptoms. We estimated the prevalence of anxiety or depression by year, disability, race and ethnicity, sex, and nativity. Disability status was assessed based on 6 domains (vision, hearing, mobility, communication, cognition, and self-care) using Washington Group on Disability Statistics Short Set on Functioning.^14,17^ The questions asked about the participants’ level of difficulty (no difficulty, some difficulty, a lot of difficulty, or cannot do at all) in basic domains of functioning. Participants were classified with disability if they reported a lot of difficulty or cannot do at all for at least 1 of the 6 domains.^14,17^ Otherwise, the participants were classified with no disability if they reported some difficulty or no difficulty for at least 1 domain (and did not report a lot of difficulty or cannot do at all for any of the 6 domains).^17^ Race and ethnicity were self-reported and classified as Black, Hispanic or Latino, other (Alaska Native or Native American, Asian, and Native Hawaiian, or other single and multiple races), and White. Nativity was also self-reported by asking the participants whether they were born in the US (or US territory) or outside US.
Statistical Analysis
We performed the data analyses from December 6, 2024, to November 19, 2025. Analyses were weighted using the NHIS weights to account for the complex survey design and to achieve nationally representative estimates of the noninstitutionalized civilian adult population.^14,17^ We used Stata statistical software version 18.0 (StataCorp) to calculate age-standardized anxiety/depression prevalence by survey year, disability status, race and ethnicity, sex, nativity, and disability domains. Age standardization was performed based on the direct method using ages 18 to 24 years, 25 to 34 years, 35 to 44 years, 45 to 64 years, and 65 years or older from the 2000 US Census population.^18^ We used Joinpoint regression software version 5.3.0 (National Cancer Institute)^19,20^ to calculate the trends and average annual percentage change (AAPC) in anxiety or depression prevalence, stratified by disability status, race and ethnicity, sex, nativity, and disability domains. The AAPC represents the summary measure of the trends in anxiety or depression prevalence from 2019 to 2023. The 95% CIs for the AAPCs were calculated using the parametric method, a preferred inference method in large sample size data analysis (including nationally representative data) compared with empirical quantile method, which is a nonparametric inference method, computationally more intensive, and generally preferred in smaller sample size and skewed data analysis.^21,22,23,24,25,26,27,28,29,30^ The permutation test with 4499 randomly permuted datasets was the model selection method, with the overall statistical significance set at a 2-sided P < .05.
Results
Population Characteristics
Of 150 220 adults included in the analysis, most were female (81 525 individuals [51.3%]) and born in the US (12 6051 individuals [81.1%]) (Table 1). There were 16 172 Black individuals (11.9%), 20 427 Hispanic or Latino individuals (17.7%), and 101 400 White individuals (61.4%). Of the total sample, 48 814 individuals (32.3%) were aged 45 to 64 years, 60 248 individuals (42.3%) experienced anxiety or depression, 15 519 individuals (8.2%) had general disability, 2514 individuals (1.4%) had vision disability, 2641 individuals (1.4%) had hearing disability, 9768 individuals (4.6%) had mobility disability, 1113 individuals (0.8%) had communication disability, 3733 individuals (2.5%) had cognition disability, and 1743 individuals (1.0%) had self-care disability.
Prevalence of Anxiety or Depression According to Overall Disability Status and Demographics
Individuals with higher age-adjusted anxiety or depression prevalence were female, White, born in the US, and aged 18 to 24 years, had general disability or any specific disability (Table 1). For each year, the prevalence was significantly higher among individuals with general disability than among those without general disability (eTable 1 in Supplement 1). Overall, from 2019 to 2023, age-adjusted anxiety or depression prevalence was higher among people with disabilities—both overall and within specific disability domains and demographic groups—than those without disabilities (eFigures 1 to 29 in Supplement 1).
Across overall disability status, from 2019 to 2023, age-adjusted anxiety or depression prevalence increased significantly among individuals without disabilities annually (AAPC, 3.93; 95% CI, 2.15-5.75) (eTable 2 in Supplement 1). This significant upward trend was observed across all racial and ethnic groups without disabilities, with the highest increases among Black (AAPC, 4.77; 95% CI, 0.61-9.10) and other racial or ethnic groups (AAPC, 6.95; 95% CI, 2.56-11.53), compared with Hispanic or Latino (AAPC, 3.83; 95% CI, 1.66-6.04) and White (AAPC, 3.72; 95% CI, 1.85-5.63) groups (Table 2). While the prevalence increased only among females without disabilities (AAPC, 3.50; 95% CI, 2.14-4.87), it increased among males with (AAPC, 3.25; 95% CI, 0.41-6.17) and without (AAPC, 4.62; 95% CI, 1.70-7.63) disabilities, with a higher increase among males without disabilities (Table 3). The prevalence trends increased significantly for individuals born outside the US with (AAPC, 3.46; 95% CI, 0.06-6.98) and without (AAPC, 5.57; 95% CI, 3.10-8.11) disabilities, but increased only among US-born individuals without disabilities (AAPC, 3.75; 95% CI, 2.14-5.40) (Table 4). Individuals born outside the US had the highest prevalence increase.
When we examined the prevalence changes by the intersection of race and ethnicity, sex, nativity, and disability status (Table 5), Black females born outside the US without disabilities experienced the most significant increases. Notably, the prevalence trends increased for Black females born outside the US (AAPC, 14.89; 95% CI, 0.48-31.36) and Black males born outside the US (AAPC, 8.26; 95% CI, 3.55-13.18) without disabilities. The upward trends were similar among Hispanic or Latino males without disabilities who were born outside the US (AAPC, 5.31; 95% CI, 3.43-7.22) and born in the US (AAPC, 5.06; 95% CI, 2.26-7.95). The increased prevalence was higher among White males born outside the US (AAPC, 7.79; 95% CI, 1.64-14.32) than among White males born in the US (AAPC, 4.41; 95% CI, 1.02-7.92) and White females born in the US (AAPC, 3.45; 95% CI, 2.08-4.82) without disabilities. However, there were no statistically significant annual prevalence changes among persons with disabilities, regardless of race and ethnicity or the intersection of race and ethnicity, sex, and nativity.
Prevalence of Anxiety or Depression According to Disability Domains and Demographics
From 2019 to 2023, the average annual age-adjusted anxiety or depression prevalence increases were relatively similar across the 6 disability domains (vision, hearing, mobility, communication, cognition, and self-care) (eTables 3, 7, 11, 15, 19, and 23 in Supplement 1). Across the 6 disability domains and race and ethnicity, sex, and nativity, average annual prevalences increased significantly among individuals without specific disability, especially among racial and ethnic minority groups (ie, Black, Hispanic or Latino, and others), males, and individuals born outside the US (eTables 4-6, 8-10, 12-14, 16-18, 20-22, and 24-26 in Supplement 1). Among people with vision, hearing, mobility, cognition, or self-care disability, the AAPCs were not statistically significant across any of the demographic factors. However, the changes were significant and unique across sex among people with or without communication disability; while the average annual prevalence decreased for males with communication disability (AAPC, −3.57; 95% CI, −5.98 to −1.10), it increased for males (AAPC, 4.64; 95% CI, 1.72-7.65) and females (AAPC, 3.24; 95% CI, 2.05-4.44) without communication disability (eTable 17 in Supplement 1).
Discussion
In this population-based cross-sectional study, we identified distinct trends of age-adjusted anxiety or depression symptom prevalence by disability status, disability domains, race and ethnicity, sex, and nativity among US adults. We found similar increasing prevalence trends across all 6 disability domains and the overall disability status, particularly among people without disabilities. Notably, prevalence increased among persons with disabilities identifying as male or born outside the US. Increased prevalence was also observed among persons without disabilities across sex, nativity, or race and ethnicity. At the intersections of race and ethnicity, sex, and nativity, we found increasing trends among Black females and males born outside the US, Hispanic or Latino males (regardless of nativity), and White males and females (regardless of nativity) without disabilities. These findings emphasize the need to consider and monitor disability status–related differences in anxiety and depression trends across demographics for personalized programs to address mental health disparities in the US.
The prevalence of anxiety or depression was higher among persons with disabilities than those without disabilities across each year, which is consistent with previous studies.^6,7,31^ Despite the protections (eg, adequate housing and accessible public spaces) and programs (ie, equal access to state and local government programs) established by the Americans with Disabilities Act (ADA),^32,33,34^ mental health disparities among people with disabilities persist. People with disabilities continue to face greater barriers to health care and limited social supports, increasing their risk for poor mental health and unmet care needs.^35,36,37,38^ However, the average annual prevalence increases between 2019 and 2023 were greater among individuals without disabilities than those with disabilities across the 6 disability domains (vision, hearing, mobility, communication, cognition, and self-care). Nonetheless, these increases were not statistically significant among the population with general disabilities or within specific disability domains. These patterns reflect gaps in mental health and disability programs that require further attention.^34,35,39,40^ People with disabilities have higher mental health problems and experience more socioeconomic disadvantages (eg, stigma, prejudice, employment, education, transportation, and internet access issues) than those without disabilities.^35^ The lack of significant average annual changes in prevalence among persons with disabilities, coupled with significant increases among persons without disabilities, necessitate further exploration to expand the literature.
Some of the patterns of anxiety or depression prevalence across disability status might be explained by social determinants of health, including sociodemographic characteristics, that influence population well-being and disparities.^41,42^ Consistent with previous studies,^6,7^ we found a higher anxiety or depression prevalence among persons with disabilities than those without disabilities across each year and all racial and ethnic groups, sex, and nativity groups. Notably, we observed a higher prevalence among White individuals, females, and individuals born in the US with disabilities. Within this subgroup, only males and individuals born outside the US experienced increased average annual prevalence between 2019 and 2023, suggesting unique gaps in mental health and disability services. Similarly, significantly increased trends were also observed among persons without disabilities who identified as female, male, born outside the US, born in the US, Black, Hispanic or Latino, White, or other racial or ethnic group.
Mental health disparities were also pronounced when examined by the intersections of race and ethnicity, sex, nativity, and disability status among persons without disabilities. Particularly, individuals with multiple intersecting identities (eg, Black females and males born outside the US, Hispanic males born in or outside the US, White males born outside the US, and White males and females born in the US) exhibited significantly increasing trends in average annual anxiety or depression prevalence among people without disabilities. As noted in previous studies,^42,43,44^ the rising trends and disparities in anxiety or depression may be due to lack of consideration of multiple intersecting social determinants of health in mental health research and interventions, as well as limited mental health programs. Also, the lack of significant changes in the average prevalence among individuals with disabilities suggests inadequate improvements in mental health and disability programs emphasizing the need for targeted program improvements.^35^
Limitations
This study has limitations. First, all measures were self-reported and therefore susceptible to recall and social desirability biases, which could have led to underreporting. Second, the NHIS only surveys the civilian noninstitutionalized US population, excluding those living in long-term care or residential facilities. Third, because NHIS is administered only in English, our findings may not be generalizable to the entire US adult population. Fourth, we did not estimate the APC to characterize trends in anxiety or depression prevalence over time because we had fewer than the 7 data point minimum required to allow a joinpoint.^19,45^
Conclusions
In this national serial cross-sectional study, we found notable variations in mental health problems based on disability status and specific social determinants of health among adults. The consistently high prevalence of anxiety or depression symptoms among individuals with disabilities emphasizes the need for improvements in disability and mental health programs and policies. The increasing trends across disability status and domains varied by race and ethnicity, sex, and nativity, as well as the intersection of these factors. These findings underscore the importance of social determinants of health, particularly their multiplicative effects, in delineating disparities in mental health and disabilities. Expanding evidence-based campaigns and demographically tailored mental health services is necessary to reduce the widening and persistent health disparities.
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