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ORIGINAL RESEARCH article

Front. Psychiatry, 01 November 2023
Sec. Public Mental Health

Trends in CV mortality among patients with known mental and behavioral disorders in the US between 1999 and 2020

Tanya Ebert,
&#x;Tanya Ebert1,2*Nashed Hamuda&#x;Nashed Hamuda3Efrat City-Elifaz,Efrat City-Elifaz1,2Ofer Kobo,Ofer Kobo1,3Ariel Roguin,Ariel Roguin1,3
  • 1The Ruth and Bruce Rappaport Faculty of Medicine, Technion – Israel Institute of Technology, Haifa, Israel
  • 2Department of Psychiatry, Hillel Yaffe Medical Center, Hadera, Israel
  • 3Department of Cardiology, Hillel Yaffe Medical Center, Hadera, Israel

Introduction: Patients with mental disorders are at increased risk of cardiovascular events. We aimed to assess the cardiovascular mortality trends over the last two decades among patients with mental and behavioral co-morbidities in the US.

Methods: We performed a retrospective, observational study using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) Multiple Cause of Death dataset. We determined national trends in age-standardized mortality rates attributed to cardiovascular diseases in patients with and without mental and behavioral disorders, from 1999 to 2020, stratified by mental and behavioral disorders subtype [ICD10 codes F], age, gender, race, and place of residence.

Results: Among more than 18.7 million cardiovascular deaths in the United States (US), 13.5% [2.53 million] were patients with a concomitant mental and behavioral disorder. During the study period, among patients with mental and behavioral disorders, the age-adjusted mortality rate increased by 113.9% Vs a 44.8% decline in patients with no mental disorder (both p<0.05). In patients with mental and behavioral disorders, the age-adjusted mortality rate increased more significantly among patients whose mental and behavioral disorder was secondary to substance abuse (+532.6%, p<0.05) than among those with organic mental disorders, such as dementia or delirium (+6.2%, P nonsignificant). Male patients (+163.6%) and residents of more rural areas (+128–162%) experienced a more prominent increase in age-adjusted cardiovascular mortality.

Discussion: While there was an overall reduction in cardiovascular mortality in the US in the past two decades, we demonstrated an overall increase in cardiovascular mortality among patients with mental disorders.

Highlights

- Question: To assess current cardiovascular mortality trends of patients with known mental and behavioral disorders.

- Findings: In this analysis of over 2.5 million cardiovascular deaths, we observed an increase in age-adjusted mortality rate in patients with mental and behavioral disorders. The most prominent increase was observed in substance abuse-related mortality, male patients, and residents of rural areas.

- Meaning: Our finding may indicate worsening inequity in healthcare access. Efforts must be made to ensure proper healthcare access and risk factor management of this deprived population and improve its cardiovascular health.

Introduction

Patients with mental and behavioral disorders, including schizophrenia, bipolar disorder, major depressive disorder, and related disorders, have a low life expectancy of 7–24 years compared to the general population, because of self-harm, violence, unhealthy lifestyle habits, and physical diseases (14). Patients with psychiatric disorders are three-fold more likely to smoke (5) and have a higher burden of cardiometabolic risk factors including diabetes mellitus, hypertension, dyslipidemia, and obesity (6, 7), and frequently have a dual diagnosis that refers to substance use disorder (SUD) (8). Substance abuse significantly increases morbidity and mortality, especially among cocaine, heroin, and amphetamine users (811). During the past decade, there has been an increase in the number of patients with drug overdose who were fixated in the United States (US) (12). Methamphetamine abuse alone or with opioids together has been rapidly increasing in the United States and is currently one of the leading causes of death in the country (13). A recent study reported that both medical and external mortality increased dramatically from 1999 to 2019 in the United States among patients with substance abuse, and cardiovascular (CV) diseases were found to be the predominant medical main cause of death in this cohort (10). Many patients with substance abuse disorder have a concomitant psychiatric disorder which further increases their cardiovascular risk (14, 15).

While the overall cardiovascular mortality rate in the Western world is in decline, current data on the cardiovascular mortality rates among patients with mental and behavioral disorders is missing. Therefore, we aimed to assess the cardiovascular mortality trends over the last two decades among patients with mental co-morbidities in the US.

Methods

In this retrospective study, the number of deaths and crude- and age-adjusted mortality rates between 1 January 1999 and 31 December 2020 were obtained from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) Multiple Cause of Death dataset. The method we used was previously described when studying a different population (16).

The Multiple Cause of Death data available on CDC WONDER are county-level national mortality and population data spanning the years 1999–2020. Data are based on death certificates for US residents. Each death certificate contains a single underlying (main) cause of death, up to 20 additional multiple causes, and demographic data. The number of deaths, crude death rates, age-adjusted death rates, and 95% confidence intervals for death rates can be obtained by cause of death (4-digit ICD-10 codes), place of residence (national, region, division, state, and county), age (single-year-of age, 5-year age groups, 10-year age groups, and infant age groups), race (American Indian or Alaskan Native, Asian/Pacific Islander, Black or African American, white), gender, and year. Data are also available for place of death, month and weekday of death, and whether an autopsy was performed.

Age-adjusted mortality rates are provided in the CDC WONDER database and are calculated using the direct method, based on data from the 2000 US census as the standard population. The underlying cause of death is the disease or injury that initiated the series of events leading directly to death. A contributing cause of death is defined as a disease or injury that can be considered a contributing factor leading to death. The underlying cause of CV death was determined using codes I00-I99 (Diseases of the circulatory system) from the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10).

The presence of mental and behavioral disorders was determined by the presence of the codes F01-F99 (Mental and behavioral disorders) as a contributing cause of death, in the death certificate. Using 1999’s age-adjusted mortality rate as a baseline, we directly calculated the % change (% change from the baseline year) in the age-adjusted mortality rate for the study period. We analyzed trends in cardiovascular mortality of patients with mental disorders stratified by mental disorder type, age, gender, race, and place of residence (region and urbanization status). Trends were assessed based on the size of the Pearson correlation coefficient using the 20-year mortality rates. Statistical significance was set at the 0.05 level.

Results

Overall trends

We examined a total of 56,806,341 deaths between 1999 and 2020, of which 18,783,791 (33.1%) were defined as CV deaths. Of these, 13.5% (2.53 million) were patients with a concomitant mental and behavioral disorder (ICD-10 codes F01-F99) (Supplementary Figure S1).

The total number of CV-related deaths and crude and age-standardized CV mortality rates in the overall population and those with mental disorders are shown in Table 1. Over the last two decades, both crude and age-adjusted mortality rates have declined in patients without mental and behavioral disorders (ptrend < 0.05). In contrast, the CV mortality rate in patients with mental and behavioral disorders significantly increased (ptrend < 0.05), as shown in Figure 1.

TABLE 1
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Table 1. CV death among patients with and without mental and behavioral disorders.

FIGURE 1
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Figure 1. % change in age-adjusted mortality in patients with vs. without mental disorders.

In 1999, out of a population of over 279 million in the US, 52,719 patients with mental and behavioral disorders experienced CV mortality, reflecting an age-adjusted mortality rate of 19.4 per 100,000. Overall, among patients without mental and behavioral disorders, 901,620 had CV mortality, an age-adjusted rate of 331.4 per 100,000.

In 2020, when the US population was over 329 million, the number of CV-related deaths increased to 172,438 (age-adjusted mortality rate of 41.5, increased by 113.9%) among patients with mental and behavioral disorders, but reduced to 756,303 (age-adjusted mortality rate of 182.9, a 44.8% reduction) among patients without mental and behavioral disorders.

Trends by mental and behavioral disorder subtype

In 1999, among patients with mental and behavioral disorders, CV mortality was highest in those with organic mental disorders (66.5% of all mental and behavioral-related CV deaths). In 2020, CV mortality was highest in those with substance abuse (65.7% of all mental and behavioral-related CV deaths).

The age-adjusted CV mortality rate of patients with organic mental disorder increased by 6%, from 13 to 13.8 per 100,000 over 20 years (ptrend- nonsignificant), while in patients with substance abuse, it significantly increased almost by 7 times, from 4.3 to 27.2 per 100,000 (ptrend < 0.05).

In contrast, among patients with mood disorders, the age-adjusted mortality rate decreased from 1.7 to 1.3 per 100,000 population (23.5% reduction, ptrend < 0.05) (Table 1 and Figure 2).

FIGURE 2
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Figure 2. % change in age-adjusted CV mortality rate by mental disorder subtype.

Trends by age, gender, and race

Men with mental and behavioral disorders experienced higher age-adjusted CV mortality than women (20.6 vs. 17.9 per 100,000 population in 1999 and 54.3 vs. 30.6 per 100,000 population in 2020). Over the study period, the increase in age-adjusted mortality was more prominent in men (163.6% vs. 70.9%; Table 2 and Supplementary Figure S2, both ptrend<0.05).

TABLE 2
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Table 2. CV death among patients with mental disorders.

Over the study period, we observed an increase in crude CV mortality rates amongst mental and behavioral patients across all age groups (all ptrend < 0.05). The magnitude of increase was higher among patients in the 55–64 years of age group as compared with other age groups (364.5% increase in the 55–64 age group vs. 36.2–252.1%, Table 2, and Supplementary Figure S3).

Compared with other ethnic groups, Black or African American patients with mental and behavioral disorders experienced the highest age-adjusted CV mortality rates (22.7 in 1999 and 49.4 per 100,000 population in 2020). The greatest increase in age-adjusted CV mortality rate was observed in white patients, while the Asian or Pacific Islander patients had the lowest increase (118.1% vs. 94.6% respectively, ptrend < 0.05) (Table 2 and Supplementary Figure S4).

Trends by geography

In 1999, the age-adjusted CV mortality was similar in mental and behavioral disorders patients located in metro and non-metro areas (17.6–21.5 per 100000 population and 21–21.9 per 100000 population, respectively). During the study period, the increase in CV mortality was more prominent in the non-metro areas, leading to higher age-adjusted CV mortality in the non-metro areas than in metro areas [54.1–55.1 vs. 34.2–49.1, all (ptrend < 0.05) per 100,000 population].

The greatest increase in age-adjusted CV mortality in patients with mental and behavioral disorders was observed in the noncore (non-metro) area, and the lowest increase was observed in the large central metro area (162.4% vs. 94.3% respectively) (Table 2 and Supplementary Figures S3, S5).

Discussion

Our findings demonstrate that the overall temporal decrease in cardiovascular mortality in the US over the last 20 years, was not observed among patients with mental and behavioral disorders, and specifically those with substance abuse. Among patients with mental and behavioral disorders, we observed a significant increase in cardiovascular mortality, mainly among males, the white population, those aged 55–64 years, and residents of rural areas. During the study period, the male–female and rural–urban cardiovascular mortality gaps increased among patients with mental and behavioral disorders (Figure 3).

FIGURE 3
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Figure 3. % change in age-adjusted mortality by urbanization status.

It has been previously reported that the increase in CV mortality among patients with mental and behavioral disorders may be related to a higher prevalence of CV risk factors among these patients (17, 18). Several explanations have been proposed for the excess mortality in these groups: side-effects of pharmacological treatment (19), unhealthy diets (20), high prevalence of cigarette smoking, and limited physical activity (21). Furthermore, patients with mental and behavioral disorders generally have reduced access to healthcare. This is both due to their socioeconomic conditions as well as negative attitudes from clinicians working outside the mental health fields toward patients with severe mental illness, and the negative social consequences of having a mental disorder (2224).

It is known that patients with mental and behavioral disorders frequently have a dual diagnosis that refers to substance use disorder (2532). Approximately half of the patients with schizophrenia have a lifetime diagnosis of SUD (33). According to the literature, traditionally most CV mortality is caused by cocaine, heroin, and amphetamine use (811). However, opioid overdose contributed to the decrease in the life expectancy of Americans from 78.8 to 78.5 between 2014 and 2017. Unfortunately, the number of patients who use substances has increased and it has caused an increase in CV mortality rate in these people. Opioid abuse was more common among white patients, males, and patients who were 45–55 years of age and this may contribute to the significant increase in CV mortality among white men that was found in our population with mental disorders (34). Another possible explanation for lower CV mortality in women compared to men is that primary prevention strategies, such as the adoption of several healthy lifestyle behaviors and the use of proven medicines, are generally more prevalent in women than men, but this study did not examine a specific population with mental and behavioral disorders or SUD (35). However, it is important to note that, in our study, the number of women who died due to CV events and had comorbid mental and behavioral disorders was three times lower than the men.

In general, despite the prominent increase in mortality among white patients, we observed higher mortality rates during the entire study period among Black patients. This finding is primarily explained by racial differences in socioeconomic status, CV disease risk factors, higher proportions of comorbidities, and reduced access to healthcare (36). In a recent study, similar results were found, which showed an increase in CV mortality in Black patients that was attributable to socioeconomic factors and a high prevalence of lifestyle, psychosocial, and clinical risk factors (37).

In our study, we found that the age-adjusted CV mortality rate dropped by 23.5% among patients with mood disorders. This may be a result of successful campaigns as there has been an increase in awareness and improvements in the diagnosis and treatment of mood disorders among primary care physicians over the last decades. The overall access to treatment of patients with mood disorders has improved significantly and physician prejudice toward these patients has decreased. Increased accessibility to antidepressant treatment may have ultimately led to a decrease in CV morbidity and mortality among older men with depression (38).

We observed a significantly more prominent increase in CV mortality of patients with mental and behavioral disorders in rural areas compared to metro areas. Access to healthcare providers varies in the US, and residents of rural areas may have less access to specialty care. The management of cardiovascular disease in patients with mental and behavioral disorders requires expertise that may be difficult to access in rural communities. Indeed, there has been a disproportionate closure of hospitals in rural areas (39). Rural residents, specifically those with mental and behavioral disorders, are more likely to be affected by social determinants of health that impact cardiovascular outcomes, such as lower household incomes, lower food security, lower educational attainment, higher rates of being uninsured, and transportation barriers. Comorbid conditions such as diabetes, hypertension, and obesity are also more common in rural areas (40).

Further prospective longitudinal studies on a large cohort of patients with mental and behavioral disorders may be needed to verify our conclusion and to examine factors contributing to CV mortality reduction in this cohort.

Limitations

This study has several limitations. First, because the information was obtained from an administrative database of death certificate data, there is an element of misclassification bias, particularly given the potential for inaccuracies in coding the cause of death in death certificate data. Second, the CDC WONDER database does not provide information on important contributory factors to cardiovascular mortality, such as type 2 diabetes, hypertension, and obesity. It was impossible to accurately describe the differences between cardiovascular risk factor burden amongst patients with different types of mental or behavioral disorders, prevalent cardiovascular disease and its treatment, socioeconomic status, and healthcare access. Third, there may be underdiagnoses or underreporting of mental and behavioral disorders in the death certificates. However, it is possible that in most cases where an individual with a mental disorder dies of a cardiovascular cause, the coroner will either not be aware of the mental condition or will not code it as directly contributing to the death, except for the drug abuse conditions.

Conclusion

While there was an overall reduction in cardiovascular mortality in the US in the past two decades, we demonstrated an overall increase in cardiovascular mortality among patients with mental and behavioral disorders. The increase was more significant among patients with substance abuse-related mental and behavioral disorders, in men, and especially among residents of rural areas. Efforts must be made to ensure proper healthcare access and risk factor management of this deprived population and improve its cardiovascular health.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

TE: Conceptualization, Funding acquisition, Investigation, Writing – original draft, Writing – review & editing. NH: Conceptualization, Formal analysis, Methodology, Writing – original draft. EC-E: Supervision, Writing – review & editing. OK: Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing. AR: Conceptualization, Data curation, Investigation, Supervision, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1255323/full#supplementary-material

References

1. Chesney, E, Goodwin, GM, and Fazel, S. Risks of all-cause and suicide mortality in mental disorders: a meta-review. World Psychiatry. (2014) 13:153–60. doi: 10.1002/wps.20128

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Liu, NH, Daumit, GL, Dua, T, Aquila, R, Charlson, F, Cuijpers, P, et al. Excess mortality in persons with severe mental disorders: a multilevel intervention framework and priorities for clinical practice, policy and research agendas. World Psychiatry. (2017) 16:30–40. doi: 10.1002/wps.20384

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Hoang, U, Goldacre, MJ, and Stewart, R. Avoidable mortality in people with schizophrenia or bipolar disorder in England. Acta Psychiatr Scand. (2013) 127:195–201. doi: 10.1111/acps.12045

CrossRef Full Text | Google Scholar

4. Walker, ER, McGee, RE, and Druss, BG. Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis. JAMA Psychiatry. (2015) 72:334–41. doi: 10.1001/jamapsychiatry.2014.2502

CrossRef Full Text | Google Scholar

5. Dickerson, F, Schroeder, J, Katsafanas, E, Khushalani, S, Origoni, AE, Savage, C, et al. Cigarette smoking by patients with serious mental illness, 1999-2016: an increasing disparity. Psychiatr Serv. (2018) 69:147–53. doi: 10.1176/appi.ps.201700118

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Bahorik, AL, Satre, DD, Kline-Simon, AH, Weisner, CM, and Campbell, CI. Serious mental illness and medical comorbidities: findings from an integrated health care system. J Psychosom Res. (2017) 100:35–45. doi: 10.1016/j.jpsychores.2017.07.004

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Zolezzi, M, Abdulrhim, S, Isleem, N, Zahrah, F, and Eltorki, Y. Medical comorbidities in patients with serious mental illness: a retrospective study of mental health patients attending an outpatient clinic in Qatar. Neuropsychiatr Dis Treat. (2017) 13:2411–8. doi: 10.2147/NDT.S141448

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Aldridge, Robert W, Story, Alistair, Hwang, Stephen W, and Nordentoft, Merete, Serena A Luchenski, Greg Hartwell, Emily J Tweed, Dan Lewer, Srinivasa Vittal Katikireddi, and Andrew C Hayward. Morbidity and mortality in homeless individuals, prisoners, sex workers, and individuals with substance use disorders in high-income countries: a systematic review and meta-analysis Lancet (2018) 391, 241–250, doi: 10.1016/S0140-6736(17)31869-X

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Fugelstad, A, Annell, A, and Ågren, G. Long-term mortality and causes of death among hospitalized Swedish drug users. Long-term mortality and causes of death among hospitalized Swedish drug users. Scand J Public Health. (2014) 42:364–9. doi: 10.1177/1403494814525006

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Stenbacka, M, Leifman, A, and Romelsjö, A. Mortality and cause of death among 1705 illicit drug users: a 37 year follow up. Drug Alcohol Rev. (2010) 29:21–7. doi: 10.1111/j.1465-3362.2009.00075.x

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Kaye, S, McKetin, R, Duflou, J, and Darke, S. Methamphetamine and cardiovascular pathology: a review of the evidence. Addiction. (2007) 102:1204–11. doi: 10.1111/j.1360-0443.2007.01874.x

CrossRef Full Text | Google Scholar

12. Saloner, B, Li, W, Bandara, SN, McGinty, EE, and Barry, CL. Trends in the use of treatment for substance use disorders, 2010–19. Health Aff. (2022) 41:696–702. doi: 10.1377/hlthaff.2021.01767

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Moszczynska, A. Current and emerging treatments for methamphetamine use disorder. Curr Neuropharmacol. (2021) 19:2077–91. doi: 10.2174/1570159X19666210803091637

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Center for Behavioral Health Statistics and Quality. Results from the 2019 National Survey on Drug Use and Health: detailed tables. Rockville, MD: US Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality (2020).

Google Scholar

15. Jones, CM, and McCance-Katz, EF. Co-occurring substance use and mental disorders among adults with opioid use disorder. Drug Alcohol Depend. (2019) 197:78–82. doi: 10.1016/j.drugalcdep.2018.12.030

CrossRef Full Text | Google Scholar

16. Kobo, O, Khattak, S, Lopez-Mattei, J, Van Spall, HGC, Graham, M, Cheng, RK, et al. Trends in cardiovascular mortality of cancer patients in the US over two decades 1999-2019. Int J Clin Pract. (2021) 75:e14841. doi: 10.1111/ijcp.14841

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Laursen, TM, Munk-Olsen, T, Nordentoft, M, and Mortensen, PB. Increased mortality among patients admitted with major psychiatric disorders: a register-based study comparing mortality in unipolar depressive disorder, bipolar affective disorder, schizoaffective disorder, and schizophrenia. J Clin Psychiatry. (2007) 68:899–907. doi: 10.4088/JCP.v68n0612

CrossRef Full Text | Google Scholar

18. Saha, S, Chant, D, and McGrath, J. A systematic review of mortality in schizophrenia: is the differential mortality gap worsening over time? Arch Gen Psychiatry. (2007) 64:1123–31. doi: 10.1001/archpsyc.64.10.1123

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Allison, DB, Mentore, JL, Heo, M, Chandler, LP, Cappelleri, JC, Infante, MC, et al. Antipsychotic-induced weight gain: a comprehensive research synthesis. Am J Psychiatr. (1999) 156:1686–96. doi: 10.1176/ajp.156.11.1686

CrossRef Full Text | Google Scholar

20. Brown, S, Birtwistle, J, Roe, L, and Thompson, C. The unhealthy lifestyle of people with schizophrenia. Psychol Med. (1999) 29:697–701. doi: 10.1017/S0033291798008186

CrossRef Full Text | Google Scholar

21. Kilbourne, AM, Rofey, DL, McCarthy, JF, Post, EP, Welsh, D, and Blow, FC. Nutrition and exercise behavior among patients with bipolar disorder. Bipolar Disorder. (2007) 9:443–52. doi: 10.1111/j.1399-5618.2007.00386.x

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Nielsen, RE, Banner, J, and Jensen, SE. Cardiovascular disease in patients with severe mental illness. Nat Rev Cardiol. (2021) 18:136–45. doi: 10.1038/s41569-020-00463-7

CrossRef Full Text | Google Scholar

23. Agerbo, E, Byrne, M, Mortensen, PB, and Eaton, WW. Marital and labor market status in the long run in schizophrenia. Arch Gen Psychiatry. (2004) 61:28–33. doi: 10.1001/archpsyc.61.1.28

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Mitchell, AJ, and Lord, O. Do deficits in cardiac care influence high mortality rates in schizophrenia? A systematic review and pooled analysis. J Psychopharmacol. (2010) 24:69–80. doi: 10.1177/1359786810382056

PubMed Abstract | CrossRef Full Text | Google Scholar

25. National Institute for Health and Clinical Excellence. Psychosis with coexisting substance misuse: assessment and management in adults and young people. (Clinical guideline CG120). (2011). Available at: http://guidance.nice.org.uk/CG120.

Google Scholar

26. Hunt, GE, Large, MM, Cleary, M, Lai, HMX, and Saunders, JB. Prevalence of comorbid substance use in schizophrenia spectrum disorders in community and clinical settings, 1990-2017: systematic review and meta-analysis. Drug Alcohol Depend. (2018) 191:234–58. doi: 10.1016/j.drugalcdep.2018.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Hunt, GE, Malhi, GS, Cleary, M, Lai, HMX, and Sitharthan, T. Comorbidity of bipolar and substance use disorders in national surveys of general populations, 1990-2015: systematic review and meta-analysis. J Affect Disord. (2016) 206:321–30. doi: 10.1016/j.jad.2016.06.051

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Grant, BF, Stinson, FS, Dawson, DA, Chou, SP, Dufour, MC, Compton, W, et al. Prevalence and co-occurrence of substance use disorders and independent mood and anxiety disorders: results from the National Epidemiologic Survey on alcohol and related conditions. Arch Gen Psychiatry. (2004) 61:807–16. doi: 10.1001/archpsyc.61.8.807

CrossRef Full Text | Google Scholar

29. Skodol, AE, Oldham, JM, and Gallaher, PE. Axis II comorbidity of substance use disorders among patients referred for treatment of personality disorders. Am J Psychiatry. (1999) 156:733–8. doi: 10.1176/ajp.156.5.733

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Tormohlen, KN, Mojtabai, R, Seiwell, A, McGinty, EE, Stuart, EA, Tobin, KE, et al. Co-occurring opioid use and depressive disorders: patient characteristics and co-occurring health conditions. J Dual Diagn. (2021) 17:296–303. doi: 10.1080/15504263.2021.1979349

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Arias, F, Szerman, N, Vega, P, Mesías, B, Basurte, I, and Rentero, D. Bipolar disorder and substance use disorders. Madrid study on the prevalence of dual disorders/pathology. Addictions. (2017) 29:186–94.

Google Scholar

32. Messer, T, Lammers, G, Müller-Siecheneder, F, Schmidt, R-F, and Latifi, S. Substance abuse in patients with bipolar disorder: a systematic review and meta-analysis. Psychiatry Res. (2017) 253:338–50. doi: 10.1016/j.psychres.2017.02.067

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Tsuang, J, and Fong, TW. Treatment of patients with schizophrenia and substance abuse disorders. Curr Pharm Des. (2004) 10:2249–61. doi: 10.2174/1381612043384114

CrossRef Full Text | Google Scholar

34. Gardner, EA, McGrath, SA, Dowling, D, and Bai, D. The opioid crisis: prevalence and markets of opioids. Forensic Sci Rev. (2022) 34:43–70.

PubMed Abstract | Google Scholar

35. Walli-Attaei, M, Joseph, P, Rosengren, PA, Chow, CK, Rangarajan, S, Lear, SA, et al. Variations between women and men in risk factors, treatments, cardiovascular disease incidence, and death in 27 high-income, middle-income, and low-income countries (PURE): a prospective cohort study. Lancet. (2020) 396:97–109. doi: 10.1016/S0140-6736(20)30543-2

CrossRef Full Text | Google Scholar

36. Tajeu, GS, Safford, MM, Howard, G, Howard, VJ, Chen, L, Long, DL, et al. Black-white differences in cardiovascular disease mortality: a prospective US study, 2003-2017. Am J Public Health. (2020) 110:696–703. doi: 10.2105/AJPH.2019.305543

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Post, WS, Watson, KE, Hansen, S, Folsom, AR, Szklo, M, Shea, S, et al. Racial and ethnic differences in all-cause and cardiovascular disease mortality: the MESA study. Circulation. (2022) 146:229–39. doi: 10.1161/CIRCULATIONAHA.122.059174

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Almeida, OP, Ford, AH, Hankey, GJ, Golledge, J, Yeap, BB, and Flicker, L. Depression, antidepressants and the risk of cardiovascular events and death in older men. Maturitas. (2019) 128:4–9. doi: 10.1016/j.maturitas.2019.06.009

CrossRef Full Text | Google Scholar

39. Germack, HD, Kandrack, R, and Martsolf, GR. When rural hospitals close, the physician workforce goes. Health Aff. (2019) 38:2086–94. doi: 10.1377/hlthaff.2019.00916

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Harrington, RA, Califf, RM, Balamurugan, A, Brown, N, Benjamin, RM, Braund, WE, et al. Call to action: rural health: a presidential advisory from the American Heart Association and American Stroke Association. Circulation. (2020) 141:e615–44. doi: 10.1161/CIR.0000000000000753

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cardiovascular mortality, mental and behavioral disorders, substance abuse, mental disorder, behavioral disorders

Citation: Ebert T, Hamuda N, City-Elifaz E, Kobo O and Roguin A (2023) Trends in CV mortality among patients with known mental and behavioral disorders in the US between 1999 and 2020. Front. Psychiatry. 14:1255323. doi: 10.3389/fpsyt.2023.1255323

Received: 25 August 2023; Accepted: 16 October 2023;
Published: 01 November 2023.

Edited by:

Kai G. Kahl, Hannover Medical School, Germany

Reviewed by:

Mechthild Westhoff-Bleck, Hannover Medical School, Germany
Valentin Matei, Carol Davila University of Medicine and Pharmacy, Romania

Copyright © 2023 Ebert, Hamuda, City-Elifaz, Kobo and Roguin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Tanya Ebert, eberttster@gmail.com

These authors have contributed equally to this work and share first authorship

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