Relationship Between Cognitive Ability and Emotional Problems in the Context of Poverty: a Nigerian Adolescent Twin Study

Overview

Journal Eur Child Adolesc Psychiatry

Specialties Pediatrics
Psychiatry

Date 2023 May 26

PMID 37237243

Authors

Yoon-Mi Hur

Affiliations

Soon will be listed here.

Abstract

Although previous studies have identified negative relationships between cognitive ability and emotional problems (EP), mechanism explaining these relationships remained unclear. This study evaluated two explanatory models using bivariate moderation model-fitting analysis in a twin design. The resilience model suggests that high cognitive ability decreases the risk of EP in adverse settings, and the scarring model suggests that EP symptoms lead to persistent cognitive deficits following onset. The Standard Progressive Matrices Plus (SPM) and EP scale were administered to a sample of 3,202 twins (mean age = 14.62 ± 1.74 years) attending public schools in Nigeria. The results of bivariate moderation model-fitting analyses only supported the resilience model. Moderation effects were not significant in the scarring model when genetic and environmental influences were incorporated. The best-fitting bivariate moderation model assuming the resilience model yielded a genetic correlation of - 0.57 (95% CI = - 0.40, - 0.84) with no significant environmental correlations. Moreover, the SPM moderated the environmental, not genetic, influences on EP, such that environmental influences were strong when protective factors were absent (low SPM) and weak when these were present (high SPM). These results indicate the need to develop targeted prevention and intervention strategies for EP in adolescents displaying low cognitive ability in deprived settings.

References

Bornstein M, Hahn C, Suwalsky J . Language and internalizing and externalizing behavioral adjustment: developmental pathways from childhood to adolescence. Dev Psychopathol. 2013; 25(3):857-78. PMC: 4151616. DOI: 10.1017/S0954579413000217. View

Cermakova P, Chlapecka A, Andryskova L, Brazdil M, Mareckova K . Socioeconomic and cognitive roots of trait anxiety in young adults. Soc Cogn Affect Neurosci. 2021; 17(8):703-711. PMC: 9340106. DOI: 10.1093/scan/nsab135. View

Hatch S, Jones P, Kuh D, Hardy R, Wadsworth M, Richards M . Childhood cognitive ability and adult mental health in the British 1946 birth cohort. Soc Sci Med. 2007; 64(11):2285-96. PMC: 3504659. DOI: 10.1016/j.socscimed.2007.02.027. View

Bridger E, Daly M . Cognitive ability as a moderator of the association between social disadvantage and psychological distress: evidence from a population-based sample. Psychol Med. 2018; 49(9):1545-1554. DOI: 10.1017/S0033291718002118. View

Melchior M, Chastang J, Head J, Goldberg M, Zins M, Nabi H . Socioeconomic position predicts long-term depression trajectory: a 13-year follow-up of the GAZEL cohort study. Mol Psychiatry. 2011; 18(1):112-21. PMC: 3526730. DOI: 10.1038/mp.2011.116. View

Riglin L, Collishaw S, Shelton K, McManus I, Ng-Knight T, Sellers R . Higher cognitive ability buffers stress-related depressive symptoms in adolescent girls. Dev Psychopathol. 2015; 28(1):97-109. DOI: 10.1017/S0954579415000310. View

Der G, Batty G, Deary I . The association between IQ in adolescence and a range of health outcomes at 40 in the 1979 US National Longitudinal Study of Youth. Intelligence. 2009; 37(6):573-580. PMC: 2772900. DOI: 10.1016/j.intell.2008.12.002. View

Lewinsohn P, Steinmetz J, Larson D, Franklin J . Depression-related cognitions: antecedent or consequence?. J Abnorm Psychol. 1981; 90(3):213-9. DOI: 10.1037//0021-843x.90.3.213. View

Rock P, Roiser J, Riedel W, Blackwell A . Cognitive impairment in depression: a systematic review and meta-analysis. Psychol Med. 2013; 44(10):2029-40. DOI: 10.1017/S0033291713002535. View

10.

McDermott L, Ebmeier K . A meta-analysis of depression severity and cognitive function. J Affect Disord. 2009; 119(1-3):1-8. DOI: 10.1016/j.jad.2009.04.022. View

11.

Scult M, Paulli A, Mazure E, Moffitt T, Hariri A, Strauman T . The association between cognitive function and subsequent depression: a systematic review and meta-analysis. Psychol Med. 2016; 47(1):1-17. PMC: 5195892. DOI: 10.1017/S0033291716002075. View

12.

Polderman T, Benyamin B, de Leeuw C, Sullivan P, van Bochoven A, Visscher P . Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nat Genet. 2015; 47(7):702-9. DOI: 10.1038/ng.3285. View

13.

Friedman N, du Pont A, Corley R, Hewitt J . Longitudinal Relations Between Depressive Symptoms and Executive Functions From Adolescence to Early Adulthood: A Twin Study. Clin Psychol Sci. 2018; 6(4):543-560. PMC: 6150459. DOI: 10.1177/2167702618766360. View

14.

Harden K, Engelhardt L, Mann F, Patterson M, Grotzinger A, Savicki S . Genetic Associations Between Executive Functions and a General Factor of Psychopathology. J Am Acad Child Adolesc Psychiatry. 2019; 59(6):749-758. PMC: 6986791. DOI: 10.1016/j.jaac.2019.05.006. View

15.

Purcell S . Variance components models for gene-environment interaction in twin analysis. Twin Res. 2003; 5(6):554-71. DOI: 10.1375/136905202762342026. View

16.

van der Sluis S, Posthuma D, Dolan C . A note on false positives and power in G × E modelling of twin data. Behav Genet. 2011; 42(1):170-86. PMC: 3253285. DOI: 10.1007/s10519-011-9480-3. View

17.

Hur Y, Jeong H, Kang M, Ajose F, Kim J, Beck J . The Nigerian Twin and Sibling Registry: An Update. Twin Res Hum Genet. 2019; 22(6):637-640. DOI: 10.1017/thg.2019.110. View

18.

MacGillivray I . Epidemiology of twin pregnancy. Semin Perinatol. 1986; 10(1):4-8. View

19.

Goodman R . The Strengths and Difficulties Questionnaire: a research note. J Child Psychol Psychiatry. 1997; 38(5):581-6. DOI: 10.1111/j.1469-7610.1997.tb01545.x. View

20.

Vogels A, Crone M, Hoekstra F, Reijneveld S . Comparing three short questionnaires to detect psychosocial dysfunction among primary school children: a randomized method. BMC Public Health. 2009; 9:489. PMC: 2804619. DOI: 10.1186/1471-2458-9-489. View