ORIGINAL PAPER
The footprint of humans with serious psychological distress: a cross-sectional study of 1.5 million adults in the United States
 
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School of Production Engineering and Management, Technical University of Crete, Crete, Greece
Submission date: 2020-05-03
Final revision date: 2020-07-01
Acceptance date: 2020-07-02
Online publication date: 2020-07-27
Publication date: 2020-07-24
 
Health Psychology Report 2020;8(3):202–210
 
KEYWORDS
TOPICS
ABSTRACT
Background:
This study investigates the prevalence of serious psychological distress (SPD) in the United States during 2012-2018 as well as the characteristics of people with SPD with the ultimate goal to find statistically significant indi-cators for SPD.

Participants and procedure:
The statistical methods used to analyze the results of this study are the chi-square and one-way analysis of variance (ANOVA) tests. Additionally, a multiple logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors for SPD.

Results:
The prevalence of SPD was found to be 3.4%. The number of individuals with SPD increased from 2012 to 2018 by 34.1%. As indicated by multiple logistic regression analyses, individuals who have less than $35 000 family income have six times higher risk of SPD occurring (OR = 6.31), while white females (OR = 1.93) in the age group of 45-64 (OR = 2.01) who are not employed but have worked previously (OR = 1.25), and are di-vorced or separated (OR = 1.57) have a two-fold higher risk for the occurrence of this type of disorder. In addi-tion, the risk of SPD is fivefold higher in poor individuals (OR = 4.81) with inadequate education (OR = 5.44).

Conclusions:
The results of this study explain the significance of deprivation (of financial comfort, education, husband, and work) as the main prognostic risk factor for SPD. Moreover, individuals with SPD are more likely to be white females in the age group of 45-64.

 
REFERENCES (26)
1.
Case, A., & Deaton, A. (2015). Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century. Proceeding of the National Academy of Sciences, 112, 15078–15083.
 
2.
Curtin, S. C., Warner, M., & Hedegaard, H. (2016a). Suicide rates for females and males by race and ethnicity: United States, 1999 and 2014. NCHS health E-stat. National Center for Health Statistics.
 
3.
Curtin, S. C., Warner, M., & Hedegard, H. (2016b). Increase in Suicide in the United States, 1999–2014. NCHS Data Brief; no 241. Hyattsville, MD: National Center for Health Statistics.
 
4.
Dart, R. C., Surratt, H. L., Cicero, T. J., Parrino, M. W., Severtson, S. G., Bucher-Bartelson, B., & Green, J. L. (2015). Trends in opioid analgesic abuse and mortality in the United States. The New England Journal of Medicine, 372, 241–248.
 
5.
Garfield, R. L., Zuvekas, S. H., Lave, J. R., & Donohue, J. M. (2011). The impact of national health care reform on adults with severe mental disorders. American Journal of Psychiatry, 168, 486–494.
 
6.
Han, B., Olfson, M., Huang, L., & Mojtabai, R. (2017). National trends in specialty outpatient mental health care among adults [published correction appears in Health Aff (Millwood). 2018;37(2):336]. Health Aff (Millwood), 36, 2062–2068.
 
7.
Islam, F. M. A. (2019). Psychological distress and its association with socio-demographic factors in a rural district in Bangladesh: A cross-sectional study. PLoS One, 14, e0212765.
 
8.
Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S. L. T., Walters, E. E., & Zaslavsky, A. M. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32, 959–976.
 
9.
Kessler, R. C., Barker, P. R., Colpe, L. J., Epstein, J. F., Gfroerer, J. C., Hiripi, E., Howes, M. J., Normand, S. L., Manderscheid, R. W., Walters, E. E., & Zaslavsky, A. M. (2003). Screening for Se-rious Mental Illness in the General Population. Archives of General Psychiatry, 60, 184–189.
 
10.
Lazzarino, A. I., Hamer, M., Stamatakis, E., & Steptoe, A. (2013a). Low socioeconomic status and psychological distress as synergistic predictors of mortality from stroke and coronary heart dis-ease. Psychosomatic Medicine, 75, 311–316.
 
11.
Lazzarino, A. I., Hamer, M., Stamatakis, E., & Steptoe, A. (2013b). The combined association of psy-chological distress and socioeconomic status with all-cause mortality. JAMA Internal Medicine, 173, 22–27.
 
12.
Mackenbach, J. P., Bos, V., Andersen, O., Cardano, M., Costa, G., Harding, S., Reid, A., Hem-ström, O., Valkonen, T., & Kunst, A. E. (2003). Widening socioeconomic inequalities in mortality in six Western European countries. International Journal of Epidemiology, 32, 830–837.
 
13.
Mirowsky, J., & Ross, C. E. (2002). Measurement for a human science. Journal of Health and Social Behavior, 43, 152–170.
 
14.
National Center for Health Statistics, Centers for Disease Control and Prevention. Health, United States, 2016 – individual charts and tables: spreadsheet, PDF, and PowerPoint files. Table 080. https://www.cdc.gov/nchs/hus/c... (accessed May 2, 2019).
 
15.
National Center for Health Statistics. (2016). Data file documentation, National Health Interview Survey. Available from: https://www.cdc.gov/nchs/nhis.....
 
16.
Nishi, D., Susukida, R., Usuda, K., Mojtabai, R., & Yamanouchi, Y. (2018). Trends in the prevalence of psychological distress and the use of mental health services from 2007 to 2016 in Japan. Jour-nal of Affective Disorders, 239, 208–213.
 
17.
Pratt, L. A., Dey, A. N., & Cohen, A. J. (2007). Characteristics of adults with serious psychological dis-tress as measured by the K6 scale: United States, 2001-04. Advance data from vital and health sta-tistics; no 382. Hyattsville, MD: National Center for Health Statistics.
 
18.
Smith, G. D., Hart, C., Blane, D., Gillis, C., & Hawthorne, V. (1997). Lifetime socioeconomic position and mortality: prospective observational study. British Medical Journal, 314, 547–552.
 
19.
Strohschein, L., McDonough, P., Monette, G., & Shao, Q. (2005). Marital transitions and mental health: Are there gender differences in the short-term effects of marital status change? Social Sci-ence & Medicine, 61, 2293–2303.
 
20.
Szumilas, M. (2010). Explaining odds ratios [published correction appears in J Can Acad Child Ado-lesc Psychiatry. 2015 Winter;24(1):58]. Journal of the Canadian Academy of Child and Adolescent Psychiatry, 19, 227–229.
 
21.
Walker, R. J., Campbell, J. A., Dawson, A. Z., & Egede, L. E. (2019). Prevalence of psychological distress, depression and suicidal ideation in an indigenous population in Panamá. Social Psychia-try and Psychiatric Epidemiology, 54, 1199–1207.
 
22.
Weissman, J., Pratt, L. A., Miller, E. A., & Parker, J. D. (2015). Serious psychological distress among adults: United States, 2009-2013. NCHS Data Brief, 203, 1–8.
 
23.
Weissman, J., Russell, D., Jay, M., & Malaspina, D. (2018). Race, ethnic and gender disparities in access and health care utilization among adults with serious psychological distress in the United States. Psychiatric Services, 69, 517–522.
 
24.
Weissman, J., Russell, D., Jay, M., Beasley, J. M., Malaspina, D., & Pegus, C. (2017). Disparities in healthcare utilization and functional limitations in adults with serious psychological distress in the United States, findings from the NHIS: 2006-2014. Psychiatric Services, 68, 653–659.
 
25.
Weissman, J., Russell, D., & Mann, J. J. (2020). Sociodemographic characteristics, financial worries and serious psychological distress in U.S. adults. Commun Ment Health J, 56, 606–613. https://doi.org/10.1007/s10597....
 
26.
Yang, B., & Yang, L. D. (1992). Sociological and ecological theories of suicide: A comparison of the U.S.A. and Taiwan. Social Science and Medicine, 34, 333–334.
 
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