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Published Online: 1 July 2024

Why Psychological Problems Presage Cardiometabolic Health Problems

Publication: American Journal of Psychiatry
The idea that the well-being of mind and body are intimately linked is an ancient one, dating back at least to the observations of Aristotle and Hippocrates. Carefully examining this notion in the age of science is a fundamentally important task for promoting the ability of medicine, psychiatry, and psychology to improve human lives (1). The remarkable article by Chen et al. in this issue (2) adds important new empirical information on the association between psychological problems and a cluster of often co-occurring cardiometabolic conditions—cardiac diseases, type 2 diabetes, hypertension, hyperlipidemia, and obesity. Using Swedish health registries, Chen and colleagues identified a cohort of over 670,000 persons for whom data were available on clinical diagnoses of mental disorders during early adulthood and on cardiometabolic conditions during middle adulthood. After excluding persons in whom cardiometabolic problems were already present during early adulthood, the authors replicated earlier findings of bivariate associations between a range of individual mental disorder diagnoses (depression, anxiety disorders, alcohol abuse, and others) and adjudicated criminal behavior (as an indicator of externalizing problems) at 18–25 years of age, on the one hand, and clinical diagnoses of cardiometabolic conditions during middle adulthood, on the other. These prospective replications are very useful because they are based on the largest sample and the longest follow-up period to date, leaving little doubt that psychological problems temporally precede cardiometabolic conditions that carry high risk of morbidity and mortality (3).
Chen et al. go well beyond the robust replication of bivariate associations, however, and provide new information that should guide future theory and research on mind-health relationships. Using latent factor modeling, they provide novel evidence that the prospective association between mental disorder diagnoses and future cardiometabolic health is highly nonspecific. That is, they found that the variance common to all of the measured mental disorders—the shared variance that defines the general factor of psychological problems (4)—was the best predictor of future cardiometabolic health. Thus, no single kind of psychological problem predicted these health problems; it was (mostly) what all of the measured psychological problems share in common that predicted poor cardiometabolic outcomes. Thus, although focused studies of the health sequelae of single diagnoses may still be useful, our focus should shift to predictive relationships between the nonspecific causes and psychobiological mechanisms shared by all forms of psychological problems and future cardiometabolic health outcomes (5, 6).
These findings from Chen et al. provide a platform for asking the next fundamentally important question. What psychobiological processes do all common forms of psychological problems share that might explain why psychological and cardiometabolic problems are linked? One obvious candidate is neuroticism. This refers to relatively stable individual differences in negative emotional response to threat, frustration, or loss (7, 8). Neuroticism is robustly correlated with essentially all diagnostic categories of mental disorder (9), with their co-occurrence (10), and, indeed, with the general factor of psychological problems (9, 11, 12). Furthermore, neuroticism is a robust prospective predictor of a broad range of physical health conditions, particularly cardiovascular illness, and predicts premature mortality (9, 13, 14). A second (and not mutually exclusive) process linking the general factor of psychological problems to physical health is intelligence. There is clear evidence from several robust studies of an inverse relationship between intelligence and both the general factor of psychological problems (15, 16) and physical health (17).
Thus, growing evidence suggests that the variance shared by essentially all forms of psychological problems that is shared with cardiometabolic health is also shared with neuroticism and intelligence. Put plainly, people who are less intelligent and who experience greater negative emotional reactivity to stress are more likely to develop a broad range of psychological and cardiometabolic problems as they transact with their social and physical environments (1). It is worth noting that the more specific construct of cognitive control may prove to be more informative than general intelligence in understanding psychological and health problems. This highly heritable construct, also known as executive functions, refers to non-automatic processes of behavioral regulation that optimize goal-related behavior. Cognitive control is correlated with, but is separable from, general intelligence (18). Like intelligence, there are replicated findings of associations of measures of cognitive control with the general factor of psychological problems (1822) and with physical health (23).
What specific mechanisms link cognitive control and neuroticism with cardiometabolic health? Persons with high levels of neuroticism have been found to experience reduced immunity, increased inflammation, and disrupted sleep (2426). In addition, neuroticism is associated with the generation of interpersonal stress (27) and with reduced social support, which are associated with both psychological and physical health problems (13). Smoking and other substance use also are more common in persons with greater neuroticism (28) and persons with lower intelligence (29). These and other factors, including neuroticism itself, may constitute mechanistic links that are feasible targets for public health interventions (9).
Chen et al. also report findings from sibling analyses (30, 31) that need to be considered as we plan future studies of the casual risk factors underlying the prospective association between the general factor of psychological problems and cardiometabolic health. They estimated the strength of associations between psychological problems and cardiometabolic problems within pairs of full siblings in the same families and compared them to the magnitudes of the same associations across different families. Because all factors shared by siblings are held constant within sibling pairs, they do not contribute to the cross-trait (i.e., psychological and cardiometabolic problems) associations within sibling pairs. Therefore, the finding of attenuated associations within sibling pairs compared with the full sample argues that environmental factors typically shared by siblings, such as family and neighborhood-level poverty during childhood, are not likely to be causes, in any simple way, of the association between psychological and cardiometabolic problems (31, 32).
Thus, the authors accurately conclude that the association between the general factor and the cardiometabolic conditions could either be causal in nature or be attributable to nonshared confounders. That is, it is possible that something about experiencing high general levels of psychopathology could cause an increased risk for cardiometabolic health problems later in adulthood. Nonetheless, the results do not exclude the possibility that the association between the general factor of psychological problems and health is attributable to influences not shared by the siblings (33). Because analyses of full siblings only hold half of their polymorphic genetic variation constant, this means that both genetic influences and environmental factors typically not shared by siblings, such as traumatic events, could explain the association between psychological and cardiometabolic problems. Consistent with this possibility, a considerable amount of evidence from a strong set of studies indicates that essentially all forms of psychological problems substantially share genetic influences with one another (3436). Furthermore, the genetic influences on cardiometabolic problems (37, 38) appear to be shared with the general factor of psychological problems (3941). In addition, neuroticism, cognitive control, and intelligence each substantially share genetic influences with both specific diagnosed mental disorders (42) and the general factor of psychological problems—that is, with the variance that psychological problems share in common (11, 12, 16, 19, 43).
Much remains to be learned, of course, but a number of ongoing large population-based studies are likely to move the field forward on these topics. For example, a striking report based on data from the UK Biobank study of >40,000 adults showed that intelligence was genetically correlated with the structure of the right cardiac atrium and neuroticism was genetically correlated with the structure of the right cardiac ventricle, with evidence of direct or indirect pleiotropic genetic causation (44). The most informative future large-scale studies will be ones that not only include strong measures of a broad range of psychological problems and health, but also include measures of the key constructs, like neuroticism and cognitive control, that dispose individuals to develop a diverse range of psychological and health problems. This is because it is feasible to discover the causes and psychobiological mechanisms underlying a few uncorrelated dispositional dimensions, such as cognitive control and neuroticism, but very difficult or impossible to discover those underlying highly correlated forms of psychological and health problems (45).

References

1.
Lahey BB: Dimensions of Psychological Problems: Replacing Diagnostic Categories With a More Science-Based and Less Stigmatizing Alternative. New York, Oxford University Press, 2021
2.
Chen C, Chang Z, Kuja-Halkola R, et al: Associations between general and specific mental health conditions in young adulthood and cardiometabolic complications in middle adulthood: a 40-year longitudinal familial coaggregation study of 672,823 Swedish individuals. Am J Psychiatry 2024; 181:651–657
3.
Becker T, Majmundar MK, Harris KM: Rising Midlife Mortality Rates and Socioeconomic Disparities. Washington, DC, National Academies Press, 2021
4.
Lahey BB, Applegate B, Hakes JK, et al: Is there a general factor of prevalent psychopathology during adulthood? J Abnorm Psychol 2012; 121:971–977
5.
Lahey BB, Krueger RF, Rathouz PJ, et al: A hierarchical causal taxonomy of psychopathology across the life span. Psychol Bull 2017; 143:142–186
6.
Lahey BB, Moore TM, Kaczkurkin AN, et al: Hierarchical models of psychopathology: empirical support, implications, and remaining issues. World Psychiatry 2021; 20:57–63
7.
Costa PT, McCrae RR: Four ways five factors are basic. Pers Indiv Differ 1992; 13:653–665
8.
Tackett JL, Lahey BB: Neuroticism, in The Oxford Handbook of the Five Factor Model. Edited by Widiger TA. New York, Oxford University Press, 2017
9.
Lahey BB: Public health significance of neuroticism. Am Psychol 2009; 64:241–256
10.
Khan AA, Jacobson KC, Gardner CO, et al: Personality and comorbidity of common psychiatric disorders. Br J Psychiatry 2005; 186:190–196
11.
Brandes CM, Herzhoff K, Smack AJ, et al: The p factor and the n factor: associations between the general factors of psychopathology and neuroticism in children. Clin Psychol Sci 2019; 7:1266–1284
12.
Tackett JL, Lahey BB, van Hulle C, et al: Common genetic influences on negative emotionality and a general psychopathology factor in childhood and adolescence. J Abnorm Psychol 2013; 122:1142–1153
13.
Smith TW, MacKenzie J: Personality and risk of physical illness. Annu Rev Clin Psychol 2006; 2:435–467
14.
Shipley BA, Weiss A, Der G, et al: Neuroticism, extraversion, and mortality in the UK Health and Lifestyle Survey: a 21-year prospective cohort study. Psychosom Med 2007; 69:923–931
15.
Pettersson E, Lichtenstein P, Larsson H, et al: Associations of resting heart rate and intelligence with general and specific psychopathology: a prospective population study of 899,398 Swedish men. Clin Psychol Sci 2021; 9:524–532
16.
von Stumm S, Malanchini M, Fisher HL: The developmental interplay between the p-factor of psychopathology and the g-factor of intelligence from age 7 through 16 years. Dev Psychopathol 2023:1–10 (Online ahead of print, July 5, 2023
17.
Deary IJ, Hill WD, Gale CR: Intelligence, health and death. Nat Hum Behav 2021; 5:416–430
18.
Friedman NP, Robbins TW: The role of prefrontal cortex in cognitive control and executive function. Neuropsychopharmacology 2022; 47:72–89
19.
Harden KP, Engelhardt LE, Mann FD, et al: Genetic associations between executive functions and a general factor of psychopathology. J Am Acad Child Adolesc Psychiatry 2020; 59:749–758
20.
Martel MM, Pan PM, Hoffmann MS, et al: A general psychopathology factor (p factor) in children: structural model analysis and external validation through familial risk and child global executive function. J Abnorm Psychol 2017; 126:137–148
21.
Shields AN, Reardon KW, Brandes CM, et al: The p factor in children: relationships with executive functions and effortful control. J Res Personal 2019; 82:103853
22.
Snyder HR, Friedman NP, Hankin BL: Transdiagnostic mechanisms of psychopathology in youth: executive functions, dependent stress, and rumination. Cognit Ther Res 2019; 43:834–851
23.
Hakun JG, Findeison MA: Cognitive control moderates the health benefits of trait self-regulation in young adults. Pers Individ Dif 2020; 152:109572
24.
Nelson BW, Byrne ML, Simmons JG, et al: Adolescent temperament dimensions as stable prospective risk and protective factors for salivary C-reactive protein. Br J Health Psychol 2018; 23:186–207
25.
Renna ME: A review and novel theoretical model of how negative emotions influence inflammation: the critical role of emotion regulation. Brain Behav Immun Health 2021; 18:100397
26.
O’Súilleabháin PS, Turiano NA, Gerstorf D, et al: Personality pathways to mortality: interleukin-6 links conscientiousness to mortality risk. Brain Behav Immun 2021; 93:238–244
27.
Lakdawalla Z, Hankin BL: Personality as a prospective vulnerability to dysphoric symptoms among college students: proposed mechanisms. J Psychopathol Behav Assess 2008; 30:121–131
28.
Hakulinen C, Hintsanen M, Munafò MR, et al: Personality and smoking: individual‐participant meta‐analysis of nine cohort studies. Addiction 2015; 110:1844–1852
29.
Corley J, Gow AJ, Starr JM, et al: Smoking, childhood IQ, and cognitive function in old age. J Psychosom Res 2012; 73:132–138
30.
Sjölander A, Frisell T, Öberg S: Sibling comparison studies. Annu Rev Stat Appl 2022; 9:71–94
31.
Lahey BB, D’Onofrio BM: All in the family: comparing siblings to test causal hypotheses regarding environmental influences on behavior. Curr Dir Psychol Sci 2010; 19:319–323
32.
Plomin R, DeFries JC, Loehlin JC: Genotype-environment interaction and correlation in the analysis of human behavior. Psychol Bull 1977; 84:309–322
33.
Schuler BR, Gardenhire RA, Jones SD, et al: Exploring the association between trauma, instability, and youth cardiometabolic health outcomes over three years. J Adolesc Health 2024; 74:301–311
34.
Lahey BB, Van Hulle CA, Singh AL, et al: Higher-order genetic and environmental structure of prevalent forms of child and adolescent psychopathology. Arch Gen Psychiatry 2011; 68:181–189
35.
Smoller JW, Andreassen OA, Edenberg HJ, et al: Psychiatric genetics and the structure of psychopathology. Mol Psychiatry 2019; 24:409–420
36.
Selzam S, Coleman JRI, Caspi A, et al: A polygenic p factor for major psychiatric disorders. Transl Psychiatry 2018; 8:205
37.
Chen X, Kuja-Halkola R, Chang Z, et al: Genetic and environmental contributions to the covariation between cardiometabolic traits. J Am Heart Assoc 2018; 7:e007806
38.
Said MA, Verweij N, van der Harst P: Associations of combined genetic and lifestyle risks with incident cardiovascular disease and diabetes in the UK Biobank study. JAMA Cardiol 2018; 3:693–702
39.
Amare AT, Schubert KO, Klingler-Hoffmann M, et al: The genetic overlap between mood disorders and cardiometabolic diseases: a systematic review of genome wide and candidate gene studies. Transl Psychiatry 2017; 7:e1007
40.
Zhang L, Lizano P, Guo B, et al: Inflammation subtypes in psychosis and their relationships with genetic risk for psychiatric and cardiometabolic disorders. Brain Behav Immun Health 2022; 22:100459
41.
Zammarchi G, Conversano C, Pisanu C: Investigating shared genetic bases between psychiatric disorders, cardiometabolic and sleep traits using K-means clustering and local genetic correlation analysis. Algorithms 2022; 15:409
42.
Hettema JM, Neale MC, Myers JM, et al: A population-based twin study of the relationship between neuroticism and internalizing disorders. Am J Psychiatry 2006; 163:857–864
43.
Singh AL, Waldman ID: The etiology of associations between negative emotionality and childhood externalizing disorders. J Abnorm Psychol 2010; 119:376–388
44.
Zhao B, Li T, Fan Z, et al: Heart-brain connections: phenotypic and genetic insights from magnetic resonance images. Science 2023; 380:abn6598
45.
Lahey BB: Using dispositions to understand otherwise intractable causal pathways to psychological problems during childhood and adolescence. J Clin Child Adolesc Psychol 2024; 53:328–341

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 581 - 583

History

Accepted: 30 April 2024
Published online: 1 July 2024
Published in print: July 01, 2024

Keywords

  1. Mental Disorders
  2. Comorbidity
  3. General Psychopathology Model
  4. Metabolic Syndrome
  5. Cardiovascular Disease
  6. Familial Coaggregation

Authors

Affiliations

Benjamin B. Lahey, Ph.D. [email protected]
Department of Public Health Sciences, University of Chicago, Chicago.

Notes

Send correspondence to Dr. Lahey ([email protected]).

Funding Information

The author reports no financial relationships with commercial interests.

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