Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus MEDLINE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

The nature of the relation between mental well-being and ill-being.

Title: The nature of the relation between mental well-being and ill-being.
Authors: Tamnes CK; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway. c.k.tamnes@psykologi.uio.no.; Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway. c.k.tamnes@psykologi.uio.no.; Bekkhus M; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Eilertsen M; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Division of Public Health and Prevention, Norwegian Institute of Public Health, Oslo, Norway.; Nes RB; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Division of Public Health and Prevention, Norwegian Institute of Public Health, Oslo, Norway.; Department of Philosophy, Classics, and History of Arts and Ideas, University of Oslo, Oslo, Norway.; Prydz MB; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Division of Public Health and Prevention, Norwegian Institute of Public Health, Oslo, Norway.; Ystrom E; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway.; Centre for Research on Equality in Education, University of Oslo, Oslo, Norway.; Aksnes ER; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway.; Andersen SN; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Department of Sociology and Human Geography, University of Oslo, Oslo, Norway.; Ask H; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Division of Public Health and Prevention, Norwegian Institute of Public Health, Oslo, Norway.; PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway.; Ayorech Z; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Baier T; Department of Sociology and Human Geography, University of Oslo, Oslo, Norway.; WZB Berlin Social Science Center, Einstein Center Population Diversity, Berlin, Germany.; Beck D; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway.; Berger EJ; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Department of Sociology and Human Geography, University of Oslo, Oslo, Norway.; Bjørndal LD; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Boer OD; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioral Sciences, Erasmus University Rotterdam, Rotterdam, the Netherlands.; Department of Child and Adolescent Psychiatry, Sophia Children's Hospital, Erasmus Medical Center, Rotterdam, the Netherlands.; Bos MGN; Developmental and Educational Psychology Unit, Institute of Psychology, Leiden University, Leiden, the Netherlands.; Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands.; Caspi A; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Psychology and Neuroscience, Duke University, Durham, NC, USA.; Cheesman R; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway.; Chegeni R; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Cortés-García L; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Department of Psychology, University of Science and Technology, Trondheim, Norway.; Demange PA; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Ebeltoft JC; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Edvoll M; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Eftedal NH; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Eilertsen EM; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Fang Y; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Ferschmann L; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Norwegian Centre for Violence and Traumatic Stress Studies, Oslo, Norway.; Fluit S; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Folstad SH; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Fredriksen E; Department of Psychology, University of Oslo, Oslo, Norway.; Gashi L; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Department of Sociology and Human Geography, University of Oslo, Oslo, Norway.; Gustavson K; Division of Public Health and Prevention, Norwegian Institute of Public Health, Oslo, Norway.; Department of Psychology, University of Oslo, Oslo, Norway.; Hansen T; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Division of Public Health and Prevention, Norwegian Institute of Public Health, Oslo, Norway.; Hofgaard LS; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Karl V; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Kozák M; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Norwegian Social Research, Oslo Metropolitan University, Oslo, Norway.; Krogshus KG; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.; Liu J; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Lyngstad TH; Department of Sociology and Human Geography, University of Oslo, Oslo, Norway.; MacSweeney N; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Division of Mental Health and Substance Abuse, Diakonhjemmet Hospital, Oslo, Norway.; Maes HHM; Virginia Institute for Psychiatric and Behavioral Genetics, Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA.; Mayerhofer L; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; McAdams TA; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.; Moffitt TE; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Psychology and Neuroscience, Duke University, Durham, NC, USA.; Naseri N; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.; Nilsen TS; Division of Public Health and Prevention, Norwegian Institute of Public Health, Oslo, Norway.; Norbom LB; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Nygaard E; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Oftedal A; Division of Public Health and Prevention, Norwegian Institute of Public Health, Oslo, Norway.; Pedersen W; Department of Sociology and Human Geography, University of Oslo, Oslo, Norway.; Norwegian Social Research, Oslo Metropolitan University, Oslo, Norway.; Qin Q; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Rodríguez-Cano R; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Department of Psychology, University of Science and Technology, Trondheim, Norway.; Skirbekk V; Department of Psychology, University of Oslo, Oslo, Norway.; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.; Smajlagic D; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.; Solberg OM; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Tandberg AD; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Teulings IJE; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Torvik FA; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; PsychGen Center for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway.; Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.; Tsotsi S; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Department of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway.; Ulset VS; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Vira EG; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Division of Public Health and Prevention, Norwegian Institute of Public Health, Oslo, Norway.; Røysamb E; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.; Division of Public Health and Prevention, Norwegian Institute of Public Health, Oslo, Norway.; von Soest T; PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway.
Source: Nature human behaviour [Nat Hum Behav] 2025 Dec; Vol. 9 (12), pp. 2431-2440. Date of Electronic Publication: 2025 Oct 16.
Publication Type: Journal Article; Review
Language: English
Journal Info: Publisher: Springer Nature Publishing Country of Publication: England NLM ID: 101697750 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2397-3374 (Electronic) Linking ISSN: 23973374 NLM ISO Abbreviation: Nat Hum Behav Subsets: MEDLINE
Imprint Name(s): Original Publication: [London] : Springer Nature Publishing, [2017]-
MeSH Terms: Mental Disorders*/psychology ; Mental Disorders*/genetics ; Mental Health* ; Personal Satisfaction*; Humans
Abstract: Research on mental health has traditionally separated the study of ill-being, including clinically defined mental and behavioural disorders and subthreshold problems, from the study of well-being, which encompasses factors such as life satisfaction and positive affect. Although previous reviews of studies primarily using self-report scales indicate that ill-being and well-being are distinct yet interconnected constructs, a deeper examination of their relationship is lacking. In this Perspective, we synthesize genetic, biological, developmental, psychosocial, societal, cultural and clinical research on ill-being and well-being. Our review reveals substantial genetic overlap and similar biological underpinnings for ill-being and well-being. By contrast, environmental factors and societal changes often exert divergent influences. We propose a differentiated multidisciplinary framework in which the shared and unique determinants, predictors, mechanisms and consequences of mental ill-being and well-being vary across levels of analysis, offering a more nuanced understanding of the interconnections.; (© 2025. Springer Nature Limited.)
Competing Interests: Competing interests: The authors declare no competing interests.
References: Caspi, A. et al. Longitudinal assessment of mental health disorders and comorbidities across 4 decades among participants in the Dunedin Birth Cohort Study. JAMA Netw. Open 3, e203221 (2020). (PMID: 32315069717508610.1001/jamanetworkopen.2020.3221); Kessler, R. C., et al. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch. Gen. Psychiatry 62, 593–602 (2005). (PMID: 1593983710.1001/archpsyc.62.6.593); Walker, E. R., McGee, R. E. & Druss, B. G. Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis. JAMA Psychiatry 72, 334–341 (2015). (PMID: 25671328446103910.1001/jamapsychiatry.2014.2502); Whiteford, H. A. et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet 382, 1575–1586 (2013). (PMID: 2399328010.1016/S0140-6736(13)61611-6); Johnson, J. C. S., Byrne, G. J. & Pelecanos, A. M. The prevalence of subthreshold psychiatric symptoms and associations with alcohol and substance use disorders: from a nationally representative survey of 36,309 adults. BMC Psychiatry 22, 270 (2022). (PMID: 35428242901203810.1186/s12888-022-03834-1); Caspi, A. et al. The p factor: one general psychopathology factor in the structure of psychiatric disorders?. Clin. Psychol. Sci. 2, 119–137 (2014). (PMID: 25360393420941210.1177/2167702613497473); Kotov, R. et al. The Hierarchical Taxonomy of Psychopathology (HiTOP): a quantitative nosology based on consensus of evidence. Annu. Rev. Clin. Psychol. 17, 83–108 (2021). (PMID: 3357735010.1146/annurev-clinpsy-081219-093304); Diener, E., Oishi, S. & Tay, L. Advances in subjective well-being research. Nat. Hum. Behav. 2, 253–260 (2018). (PMID: 3093653310.1038/s41562-018-0307-6); Diener, E. et al. Findings all psychologists should know from the new science on subjective well-being. Can. Psychol. 58, 87–104 (2017). (PMID: 10.1037/cap0000063); Ruggeri, K., Garcia-Garzon, E., Maguire, Á, Matz, S. & Huppert, F. A. Well-being is more than happiness and life satisfaction: a multidimensional analysis of 21 countries. Health Qual. Life Outcomes 18, 192 (2020). (PMID: 32560725730419910.1186/s12955-020-01423-y); Patel, V. et al. The Lancet Commission on global mental health and sustainable development. Lancet 392, 1553–1598 (2018). (PMID: 3031486310.1016/S0140-6736(18)31612-X); Adler, A. & Seligman, M. E. P. Using wellbeing for public policy: theory, measurement, and recommendations. Int. J. Wellbeing 6, 1–35 (2016). (PMID: 10.5502/ijw.v6i1.429); Helliwell, J. F. & Aknin, L. B. Expanding the social science of happiness. Nat. Hum. Behav. 2, 248–252 (2018). (PMID: 3093653510.1038/s41562-018-0308-5); Ryan, R. M. & Deci, E. L. On happiness and human potentials: a review of research on hedonic and eudaimonic well-being. Annu. Rev. Psychol. 52, 141–166 (2001). (PMID: 1114830210.1146/annurev.psych.52.1.141); Bjørndal, L. D., Nes, R. B., Czajkowski, N. & Røysamb, E. The structure of well-being: a single underlying factor with genetic and environmental influences. Qual. Life Res. 32, 2805–2816 (2023). (PMID: 372093571019942910.1007/s11136-023-03437-7); Huppert, F. A. & So, T. T. C. Flourishing across Europe: application of a new conceptual framework for defining well-being. Soc. Indic. Res. 110, 837–861 (2013). (PMID: 2332986310.1007/s11205-011-9966-7); Keyes, C. L. M. in Flourishing: Positive Psychology and the Life Well-Lived (eds Keyes, C. L. M. & Haidt, J.) 293–312 (American Psychological Association, 2003).; Tay, L., Su, R. & Rounds, J. People–things and data–ideas: bipolar dimensions?. J. Couns. Psychol. 58, 424–440 (2011). (PMID: 2163961610.1037/a0023488); Zhao, M. Y. & Tay, L. From ill-being to well-being: bipolar or bivariate?. J. Posit. Psychol. 18, 649–659 (2023). (PMID: 10.1080/17439760.2022.2109204); Mason Stephens, J., Iasiello, M., Ali, K., van Agteren, J. & Fassnacht, D. B. The importance of measuring mental wellbeing in the context of psychological distress: using a theoretical framework to test the dual-continua model of mental health. Behav. Sci. 13, 436 (2023). (PMID: 372326731021573010.3390/bs13050436); Iasiello, M., Van Agteren, J., Ali, K. & Fassnacht, D. B. Positive psychology is better served by a bivariate rather than bipolar conceptualization of mental health and mental illness: a commentary on Zhao & Tay (2022). J. Posit. Psychol. 19, 337–341 (2024). (PMID: 10.1080/17439760.2023.2179935); Iasiello, M., Van Agteren, J. & Cochrane, E. M. Mental health and/or mental illness: a scoping review of the evidence and implications of the dual-continua model of mental health. Evid. Base 2020, 1–45 (2020). (PMID: 10.21307/eb-2020-001); Torvik, F. A. et al. Continuity of genetic and environmental influences on clinically assessed major depression from ages 18 to 45. Psychol. Med. 49, 2582–2590 (2019). (PMID: 3048441810.1017/S0033291718003550); Nes, R. B. & Røysamb, E. in Genetics of Psychological Well-Being: The Role of Heritability and Genetics in Positive Psychology (ed. Pluess, M.) 75–96 (Oxford Univ. Press, 2015).; Bartels, M. Genetics of wellbeing and its components satisfaction with life, happiness, and quality of life: a review and meta-analysis of heritability studies. Behav. Genet. 45, 137–156 (2015). (PMID: 25715755434666710.1007/s10519-015-9713-y); Samuelsen, K., Ystrom, E., Gjerde, L. C. & Eilertsen, E. M. Kind of blue—an evaluation of etiologies for prenatal versus postnatal depression symptoms. J. Affect. Disord. 335, 305–312 (2023). (PMID: 3719693510.1016/j.jad.2023.04.135); Bjørndal, L. D., Kendler, K. S., Reichborn-Kjennerud, T. & Ystrom, E. Stressful life events increase the risk of major depressive episodes: a population-based twin study. Psychol. Med. https://doi.org/10.1017/S0033291722002227 (2022).; Sullivan, P. F., Neale, M. C. & Kendler, K. S. Genetic epidemiology of major depression: review and meta-analysis. Am. J. Psychiatry 157, 1552–1562 (2000). (PMID: 1100770510.1176/appi.ajp.157.10.1552); Andreassen, O. A., Hindley, G. F. L., Frei, O. & Smeland, O. B. New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications. World Psychiatry 22, 4–24 (2023). (PMID: 36640404984051510.1002/wps.21034); Bartels, M. et al. in World Happiness Report 2022 (eds Helliwell, J. F. et al.) Ch. 5 (Sustainable Development Solutions Network, 2022).; Baselmans, B. M. L. et al. Multivariate genome-wide analyses of the well-being spectrum. Nat. Genet. 51, 445–451 (2019). (PMID: 3064325610.1038/s41588-018-0320-8); Okbay, A. et al. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat. Genet. 48, 624–633 (2016). (PMID: 27089181488415210.1038/ng.3552); Howard, D. M. et al. Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat. Neurosci. 22, 343–352 (2019). (PMID: 30718901652236310.1038/s41593-018-0326-7); Lewis, C. M. & Vassos, E. Polygenic scores in psychiatry: on the road from discovery to implementation. Am. J. Psychiatry 179, 800–806 (2022). (PMID: 3631733410.1176/appi.ajp.20220795); Nes, R. B. et al. Major depression and life satisfaction: a population-based twin study. J. Affect. Disord. 144, 51–58 (2013). (PMID: 2302182510.1016/j.jad.2012.05.060); De Vries, L. P., Van Beijsterveldt, T. C. E. M., Maes, H., Colodro-Conde, L. & Bartels, M. Genetic influences on the covariance and genetic correlations in a bivariate twin model: an application to well-being. Behav. Genet. 51, 191–203 (2021). (PMID: 33582898809317610.1007/s10519-021-10046-y); De Vries, L. P. et al. Distinguishing happiness and meaning in life from depressive symptoms: a GWAS -by-subtraction study in the UK Biobank. Am. J. Med. Genet. B Neuropsychiatr. Genet. 195, e32954 (2024). (PMID: 3743584110.1002/ajmg.b.32954); Kendler, K. S., Myers, J. M. & Keyes, C. L. M. The relationship between the genetic and environmental influences on common externalizing psychopathology and mental wellbeing. Twin Res. Hum. Genet. 14, 516–523 (2011). (PMID: 22506307344363110.1375/twin.14.6.516); Van Rheenen, W., Peyrot, W. J., Schork, A. J., Lee, S. H. & Wray, N. R. Genetic correlations of polygenic disease traits: from theory to practice. Nat. Rev. Genet. 20, 567–581 (2019). (PMID: 3117186510.1038/s41576-019-0137-z); Polderman, T. J. C. et al. Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nat. Genet. 47, 702–709 (2015). (PMID: 2598513710.1038/ng.3285); Røysamb, E., Moffitt, T. E., Caspi, A., Ystrøm, E. & Nes, R. B. Worldwide well-being: simulated twins reveal genetic and (hidden) environmental influences. Perspect. Psychol. Sci. 18, 1562–1574 (2023). (PMID: 373845621062359710.1177/17456916231178716); Eilertsen, E. M. et al. On the importance of parenting in externalizing disorders: an evaluation of indirect genetic effects in families. J. Child Psychol. Psychiatry 63, 1186–1195 (2022). (PMID: 35778910979609110.1111/jcpp.13654); McAdams, T. A. et al. Accounting for genetic and environmental confounds in associations between parent and child characteristics: a systematic review of children-of-twins studies. Psychol. Bull. 140, 1138–1173 (2014). (PMID: 2474949710.1037/a0036416); Bjørndal, L. D. et al. Disentangling direct and indirect genetic effects from partners and offspring on maternal depression using trio-GCTA. Nat. Ment. Health 2, 417–425 (2024). (PMID: 10.1038/s44220-024-00207-3); Ayorech, Z. et al. Maternal depression and the polygenic p factor: a family perspective on direct and indirect effects. J. Affect. Disord. 332, 159–167 (2023). (PMID: 3696351610.1016/j.jad.2023.03.043); Cattarinussi, G., Delvecchio, G., Sambataro, F. & Brambilla, P. The effect of polygenic risk scores for major depressive disorder, bipolar disorder and schizophrenia on morphological brain measures: a systematic review of the evidence. J. Affect. Disord. 310, 213–222 (2022). (PMID: 3553377610.1016/j.jad.2022.05.007); Thompson, P. M. et al. ENIGMA and global neuroscience: a decade of large-scale studies of the brain in health and disease across more than 40 countries. Transl. Psychiatry 10, 100 (2020). (PMID: 32198361708392310.1038/s41398-020-0705-1); Schmaal, L. et al. ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing. Transl. Psychiatry 10, 172 (2020). (PMID: 32472038726021910.1038/s41398-020-0842-6); Toenders, Y. J. et al. Neuroimaging predictors of onset and course of depression in childhood and adolescence: a systematic review of longitudinal studies. Dev. Cogn. Neurosci. 39, 100700 (2019). (PMID: 31426010696936710.1016/j.dcn.2019.100700); Sprooten, E., Franke, B. & Greven, C. U. The P-factor and its genomic and neural equivalents: an integrated perspective. Mol. Psychiatry 27, 38–48 (2022). (PMID: 3352682210.1038/s41380-021-01031-2); De Vries, L. P., Van De Weijer, M. P. & Bartels, M. A systematic review of the neural correlates of well-being reveals no consistent associations. Neurosci. Biobehav. Rev. 145, 105036 (2023). (PMID: 3662158410.1016/j.neubiorev.2023.105036); Jamshidi, J., Park, H. R. P., Montalto, A., Fullerton, J. M. & Gatt, J. M. Wellbeing and brain structure: a comprehensive phenotypic and genetic study of image-derived phenotypes in the UK Biobank. Hum. Brain Mapp. 43, 5180–5193 (2022). (PMID: 35765890981223810.1002/hbm.25993); Bos, M. G. N., Peters, S., van de Kamp, F. C., Crone, E. A. & Tamnes, C. K. Emerging depression in adolescence coincides with accelerated frontal cortical thinning. J. Child Psychol. Psychiatry 59, 994–1002 (2018). (PMID: 29577280612047710.1111/jcpp.12895); Tiego, J. et al. Precision behavioral phenotyping as a strategy for uncovering the biological correlates of psychopathology. Nat. Ment. Health 1, 304–315 (2023). (PMID: 372514941021025610.1038/s44220-023-00057-5); De Vries, L. P., Van De Weijer, M. P. & Bartels, M. The human physiology of well-being: a systematic review on the association between neurotransmitters, hormones, inflammatory markers, the microbiome and well-being. Neurosci. Biobehav. Rev. 139, 104733 (2022). (PMID: 3569716110.1016/j.neubiorev.2022.104733); Osimo, E. F., Baxter, L. J., Lewis, G., Jones, P. B. & Khandaker, G. M. Prevalence of low-grade inflammation in depression: a systematic review and meta-analysis of CRP levels. Psychol. Med. 49, 1958–1970 (2019). (PMID: 31258105671295510.1017/S0033291719001454); Kennis, M. et al. Prospective biomarkers of major depressive disorder: a systematic review and meta-analysis. Mol. Psychiatry 25, 321–338 (2020). (PMID: 3174523810.1038/s41380-019-0585-z); Barth, C., Crestol, A., De Lange, A.-M. G. & Galea, L. A. M. Sex steroids and the female brain across the lifespan: insights into risk of depression and Alzheimer’s disease. Lancet Diabetes Endocrinol. 11, 926–941 (2023). (PMID: 3786510210.1016/S2213-8587(23)00224-3); Tian, Y. E. et al. Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality. Nat. Med. 29, 1221–1231 (2023). (PMID: 3702459710.1038/s41591-023-02296-6); Patalay, P. & Fitzsimons, E. Development and predictors of mental ill-health and wellbeing from childhood to adolescence. Soc. Psychiatry Psychiatr. Epidemiol. 53, 1311–1323 (2018). (PMID: 3025905610.1007/s00127-018-1604-0); Batz-Barbarich, C., Tay, L., Kuykendall, L. & Cheung, H. K. A meta-analysis of gender differences in subjective well-being: estimating effect sizes and associations with gender inequality. Psychol. Sci. 29, 1491–1503 (2018). (PMID: 2998016710.1177/0956797618774796); Steptoe, A., Deaton, A. & Stone, A. A. Subjective wellbeing, health, and ageing. Lancet 385, 640–648 (2015). (PMID: 2546815210.1016/S0140-6736(13)61489-0); Galambos, N. L., Krahn, H. J., Johnson, M. D. & Lachman, M. E. The U shape of happiness across the life course: expanding the discussion. Perspect. Psychol. Sci. 15, 898–912 (2020). (PMID: 32375015752945210.1177/1745691620902428); Sutin, A. R., et al. The trajectory of depressive symptoms across the adult life span. JAMA Psychiatry 70, 803–811 (2013). (PMID: 23760442374003810.1001/jamapsychiatry.2013.193); Caspi, A. & Moffitt, T. E. All for one and one for all: mental disorders in one dimension. Am. J. Psychiatry 175, 831–844 (2018). (PMID: 29621902612079010.1176/appi.ajp.2018.17121383); Nigg, J. T. Annual research review: on the relations among self-regulation, self-control, executive functioning, effortful control, cognitive control, impulsivity, risk-taking, and inhibition for developmental psychopathology. J. Child Psychol. Psychiatry 58, 361–383 (2017). (PMID: 2803567510.1111/jcpp.12675); Hofmann, W., Luhmann, M., Fisher, R. R., Vohs, K. D. & Baumeister, R. F. Yes, but are they happy? Effects of trait self-control on affective well-being and life satisfaction. J. Pers. 82, 265–277 (2014). (PMID: 2375074110.1111/jopy.12050); Kotov, R., Gamez, W., Schmidt, F. & Watson, D. Linking ‘big’ personality traits to anxiety, depressive, and substance use disorders: a meta-analysis. Psychol. Bull. 136, 768–821 (2010). (PMID: 2080423610.1037/a0020327); Anglim, J., Horwood, S., Smillie, L. D., Marrero, R. J. & Wood, J. K. Predicting psychological and subjective well-being from personality: a meta-analysis. Psychol. Bull. 146, 279–323 (2020). (PMID: 3194479510.1037/bul0000226); Baumeister, R. F. & Leary, M. R. The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psychol. Bull. 117, 497–529 (1995). (PMID: 777765110.1037/0033-2909.117.3.497); Park, C. et al. The effect of loneliness on distinct health outcomes: a comprehensive review and meta-analysis. Psychiatry Res. 294, 113514 (2020). (PMID: 3313051110.1016/j.psychres.2020.113514); Bjørndal, L. D., Ebrahimi, O. V., Lan, X., Nes, R. B. & Røysamb, E. Mental health and environmental factors in adults: a population-based network analysis. Am. Psychol. https://doi.org/10.1037/amp0001208 (2023).; Helliwell, J. F., Huang, H. & Wang, S. in World Happiness Report 2019 (eds Helliwell, J. F. et al.) Ch. 2 (Sustainable Development Solutions Network, 2019).; Collishaw, S. Annual research review: secular trends in child and adolescent mental health. J. Child Psychol. Psychiatry 56, 370–393 (2015). (PMID: 2549634010.1111/jcpp.12372); Cosma, A. et al. Cross-national time trends in adolescent mental well-being from 2002 to 2018 and the explanatory role of schoolwork pressure. J. Adolesc. Health 66, S50–S58 (2020). (PMID: 32446609813120110.1016/j.jadohealth.2020.02.010); Helliwell, J. F., Huang, H., Wang, S. & Norton, M. in World Happiness Report 2022 (eds Helliwell, J. F. et al.) Ch. 2 (Sustainable Development Solutions Network, 2022).; Santomauro, D. F. et al. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet 398, 1700–1712 (2021). (PMID: 10.1016/S0140-6736(21)02143-7); Lwin, M. O. et al. Global sentiments surrounding the COVID-19 pandemic on Twitter: analysis of Twitter trends. JMIR Public Health Surveill. 6, e19447 (2020). (PMID: 32412418724746610.2196/19447); De Silva, M. J. Social capital and mental illness: a systematic review. J. Epidemiol. Community Health 59, 619–627 (2005). (PMID: 16020636173310010.1136/jech.2004.029678); Kirkbride, J. B. et al. The social determinants of mental health and disorder: evidence, prevention and recommendations. World Psychiatry 23, 58–90 (2024). (PMID: 382146151078600610.1002/wps.21160); Delle Fave, A. et al. Lay definitions of happiness across nations: the primacy of inner harmony and relational connectedness. Front. Psychol. 7, 30 (2016). (PMID: 26858677472679710.3389/fpsyg.2016.00030); Krys, K. et al. Introduction to a culturally sensitive measure of well-being: combining life satisfaction and interdependent happiness across 49 different cultures. J. Happiness Stud. 24, 607–627 (2023). (PMID: 10.1007/s10902-022-00588-1); Carr, A. et al. Effectiveness of positive psychology interventions: a systematic review and meta-analysis. J. Posit. Psychol. 16, 749–769 (2021). (PMID: 10.1080/17439760.2020.1818807); Carr, A. et al. The evidence-base for positive psychology interventions: a mega-analysis of meta-analyses. J. Posit. Psychol. 19, 191–205 (2024). (PMID: 10.1080/17439760.2023.2168564); Kolovos, S., Kleiboer, A. & Cuijpers, P. Effect of psychotherapy for depression on quality of life: meta-analysis. Br. J. Psychiatry 209, 460–468 (2016). (PMID: 2753929610.1192/bjp.bp.115.175059); Hofmann, S. G., Curtiss, J., Carpenter, J. K. & Kind, S. Effect of treatments for depression on quality of life: a meta-analysis. Cogn. Behav. Ther. 46, 265–286 (2017). (PMID: 28440699566319310.1080/16506073.2017.1304445); McGuire, J., Kaiser, C. & Bach-Mortensen, A. M. A systematic review and meta-analysis of the impact of cash transfers on subjective well-being and mental health in low- and middle-income countries. Nat. Hum. Behav. 6, 359–370 (2022). (PMID: 3505864310.1038/s41562-021-01252-z); Bronfenbrenner, U. & Ceci, S. J. Nature–nurture reconceptualized in developmental perspective: a bioecological model. Psychol. Rev. 101, 568–586 (1994). (PMID: 798470710.1037/0033-295X.101.4.568); Tamnes, C. K. et al. Relationships between wellbeing polygenic scores, brain structure, and psychopathology in children. Pers. Individ. Differ. 246, 113313 (2025). (PMID: 10.1016/j.paid.2025.113313); Masten, A. S., Lucke, C. M., Nelson, K. M. & Stallworthy, I. C. Resilience in development and psychopathology: multisystem perspectives. Annu. Rev. Clin. Psychol. 17, 521–549 (2021). (PMID: 3353461510.1146/annurev-clinpsy-081219-120307); Thomson, R. M. et al. How do income changes impact on mental health and wellbeing for working-age adults? A systematic review and meta-analysis. Lancet Public Health 7, e515–e528 (2022). (PMID: 35660213761487410.1016/S2468-2667(22)00058-5); Røysamb, E., Nes, R. B., Czajkowski, N. O. & Vassend, O. Genetics, personality and wellbeing: a twin study of traits, facets and life satisfaction. Sci. Rep. 8, 12298 (2018). (PMID: 30120258609805410.1038/s41598-018-29881-x); Røysamb, E. & Nes, R. B. in Handbook of Eudaimonic Well-Being (ed. Vittersø, J.) 233–252 (Springer International, 2016).; Goodman, F. R. Assessing well-being in clinical research and treatment. Nat. Ment. Health 3, 167–174 (2025). (PMID: 10.1038/s44220-024-00381-4); Fried, E. I. The 52 symptoms of major depression: lack of content overlap among seven common depression scales. J. Affect. Disord. 208, 191–197 (2017). (PMID: 2779296210.1016/j.jad.2016.10.019); Brayne, C. & Moffitt, T. E. The limitations of large-scale volunteer databases to address inequalities and global challenges in health and aging. Nat. Aging 2, 775–783 (2022). (PMID: 371185001015403210.1038/s43587-022-00277-x); Krys, K. et al. Happiness maximization is a WEIRD way of living. Perspect. Psychol. Sci. https://doi.org/10.1177/17456916231208367 (2024).; MacSweeney, N., Toenders, Y. J. & Tamnes, C. K. Neuroimaging insights into adolescent depression risk and development. Nat. Ment. Health 3, 772–779 (2025). (PMID: 10.1038/s44220-025-00453-z); Zhao, Y., Yin, D., Wang, L. & Yu, Y. The rise of artificial intelligence, the fall of human wellbeing? Int. J. Soc. Welf. 33, 75–105 (2024). (PMID: 10.1111/ijsw.12586); Orben, A., Meier, A., Dalgleish, T. & Blakemore, S.-J. Mechanisms linking social media use to adolescent mental health vulnerability. Nat. Rev. Psychol. 3, 407–423 (2024). (PMID: 10.1038/s44159-024-00307-y); Lawrance, E. L., Thompson, R., Newberry Le Vay, J., Page, L. & Jennings, N. The impact of climate change on mental health and emotional wellbeing: a narrative review of current evidence, and its implications. Int. Rev. Psychiatry 34, 443–498 (2022). (PMID: 3616575610.1080/09540261.2022.2128725); Savage, M. The Return of Inequality: Social Change and the Weight of the Past (Harvard Univ. Press, 2021).; Van Bavel, J. J., Gadarian, S. K., Knowles, E. & Ruggeri, K. Political polarization and health. Nat. Med. 30, 3085–3093 (2024). (PMID: 3945573110.1038/s41591-024-03307-w)
Grant Information: P2C HD065563 United States HD NICHD NIH HHS; R01 DA054313 United States DA NIDA NIH HHS
Entry Date(s): Date Created: 20251016 Date Completed: 20251223 Latest Revision: 20260426
Update Code: 20260426
PubMed Central ID: PMC13109989
DOI: 10.1038/s41562-025-02319-x
PMID: 41102498
Database: MEDLINE

Journal Article; Review