Cited by 69Youth Substance Use and School AttendancePsychosomatic Disorders and Their TreatmentsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Blood biomarkers of Hikikomori, a severe social withdrawal syndrome

Open access

Abstract

Hikikomori, a severe form of social withdrawal syndrome, is a growing social issue in Japan and internationally. The pathophysiology of hikikomori has not yet been elucidated and an effective treatment remains to be established. Recently, we revealed that avoidant personality disorder is the most common comorbidity of hikikomori. Thus, we have postulated that avoidant personality is the personality underpinning hikikomori. First, we herein show relationships between avoidant personality traits, blood biomarkers, hikikomori-related psychological features, and behavioural characteristics assessed by a trust game in non-hikikomori volunteers. Avoidant personality traits were negatively associated with high-density lipoprotein cholesterol (HDL-C) and uric acid (UA) in men, and positively associated with fibrin degeneration products (FDP) and high sensitivity C-reactive protein (hsCRP) in women. Next, we recruited actual individuals with hikikomori, and compared avoidant personality traits, blood biomarkers, and psychological features between individuals with hikikomori and age-matched healthy controls. Individuals with hikikomori had higher avoidant personality scores in both sexes, and showed lower serum UA levels in men and lower HDL-C levels in women compared with healthy controls. This is the first report showing possible blood biomarkers for hikikomori, and opens the door to clarify the underlying biological pathophysiology of hikikomori.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-018-21260-w

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 9 references

Research works printed but not linked: 52

  1. Kato, T. A., Shinfuku, N., Sartorius, N. & Kanba, S. Are Japan’s hikikomori and depression in young people spreading abroad? Lancet 378, 1070, https://doi.org/10.1016/S0140-6736(11)61475-X (2011). · DOI
  2. Kato, T. A., Kanba, S. & Teo, A. R. A 39-Year-Old “Adultolescent”: Understanding Social Withdrawal in Japan. Am J Psychiatry 173, 112–114, https://doi.org/10.1176/appi.ajp.2015.15081034 (2016). · DOI
  3. Kato, T. A., Kanba, S. & Teo, A. R. Hikikomori: experience in Japan and international relevance. World Psychiatry 17, 105–106 (2018). · DOI · Paper page
  4. Harding, C. Hikikomori. Lancet Psychiatry 5, 28–29, https://doi.org/10.1016/S2215-0366(17)30491-1 (2018). · DOI
  5. Kato, T. A. et al. Does the ‘hikikomori’ syndrome of social withdrawal exist outside Japan? A preliminary international investigation. Soc Psychiatry Psychiatr Epidemiol 47, 1061–1075, https://doi.org/10.1007/s00127-011-0411-7 (2012). · DOI
  6. Wong, P. W. C., Liu, L. L., Li, T. M. H., Kato, T. A. & Teo, A. R. Does hikikomori (severe social withdrawal) exist among young people in urban areas of China? Asian J Psychiatr 30, 175–176, https://doi.org/10.1016/j.ajp.2017.10.026 (2017). · DOI
  7. Malagon-Amor, A., Corcoles-Martinez, D., Martin-Lopez, L. M. & Perez-Sola, V. Hikikomori in Spain: A descriptive study. Int J Soc Psychiatry 61, 475–483, https://doi.org/10.1177/0020764014553003 (2015). · DOI
  8. Wong, P. W. et al. The prevalence and correlates of severe social withdrawal (hikikomori) in Hong Kong: A cross-sectional telephone-based survey study. Int J Soc Psychiatry 61, 330–342, https://doi.org/10.1177/0020764014543711 (2015). · DOI
  9. Kato, T. A. & Kanba, S. Boundless syndromes in modern society: An interconnected world producing novel psychopathology in the 21st century. Psychiatry Clin Neurosci 70, 1–2, https://doi.org/10.1111/pcn.12368 (2016). · DOI
  10. Teo, A. R. et al. Psychopathology associated with social withdrawal: Idiopathic and comorbid presentations. Psychiatry Res 228, 182–183, https://doi.org/10.1016/j.psychres.2015.04.033 (2015). · DOI · Paper page
  11. Krieg, A. & Dickie, J. R. Attachment and hikikomori: a psychosocial developmental model. Int J Soc Psychiatry 59, 61–72, https://doi.org/10.1177/0020764011423182 (2013). · DOI
  12. Kato, T. A., Watabe, M. & Kanba, S. Neuron-glia interaction as a possible glue to translate the mind-brain gap: a novel multi-dimensional approach toward psychology and psychiatry. Front Psychiatry 4, 139, https://doi.org/10.3389/fpsyt.2013.00139 (2013). · DOI
  13. Kato, T. A. & Kanba, S. Are microglia minding us? Digging up the unconscious mind-brain relationship from a neuropsychoanalytic approach. Front Hum Neurosci 7, 13, https://doi.org/10.3389/fnhum.2013.00013 (2013). · DOI
  14. Watabe, M. et al. Relationship between trusting behaviors and psychometrics associated with social network and depression among young generation: a pilot study. PLoS One 10, e0120183, https://doi.org/10.1371/journal.pone.0120183 (2015). · DOI
  15. Burton-Chellew, M. N. & West, S. A. Pseudocompetition among groups increases human cooperation in a public-goods game. Animal Behaviour 84, 947–952 (2012). · DOI
  16. King-Casas, B. et al. The rupture and repair of cooperation in borderline personality disorder. Science 321, 806–810, https://doi.org/10.1126/science.1156902 (2008). · DOI
  17. Berg, J., Dickhaut, J. & McCabe, K. Trust, reciprocity, and social history. Game Econ Behav 10, 122–142 (1995). · DOI · Paper page
  18. Forbes, A. & Roger, D. Stress, social support and fear of disclosure. British Journal of Health Psychology 4, 165–179 (1999). · DOI
  19. Ashton, W. A. Effects of Gender and Gender Role Identification of Participant and Type of Social Support Resource on Support Seeking. Sex Roles 28, 461–476 (1993). · DOI
  20. Kato, T. A., Hayakawa, K., Monji, A. & Kanba, S. Missing and Possible Link between Neuroendocrine Factors, Neuropsychiatric Disorders, and Microglia. Front Integr Neurosci 7, 53, https://doi.org/10.3389/fnint.2013.00053 (2013). · DOI
  21. Lin, F., Friedman, E., Quinn, J., Chen, D. G. & Mapstone, M. Effect of leisure activities on inflammation and cognitive function in an aging sample. Arch Gerontol Geriatr 54, e398–404, https://doi.org/10.1016/j.archger.2012.02.002 (2012). · DOI
  22. Camont, L., Chapman, M. J. & Kontush, A. Biological activities of HDL subpopulations and their relevance to cardiovascular disease. Trends Mol Med 17, 594–603, https://doi.org/10.1016/j.molmed.2011.05.013 (2011). · DOI
  23. Ames, B. N., Cathcart, R., Schwiers, E. & Hochstein, P. Uric acid provides an antioxidant defense in humans against oxidant- and radical-caused aging and cancer: a hypothesis. Proc Natl Acad Sci USA 78, 6858–6862 (1981). · DOI
  24. Arora, V. & Chopra, K. Possible involvement of oxido-nitrosative stress induced neuro-inflammatory cascade and monoaminergic pathway: underpinning the correlation between nociceptive and depressive behaviour in a rodent model. J Affect Disord 151, 1041–1052, https://doi.org/10.1016/j.jad.2013.08.032 (2013). · DOI
  25. Palta, P., Samuel, L. J., Miller, E. R. 3rd & Szanton, S. L. Depression and oxidative stress: results from a meta-analysis of observational studies. Psychosom Med 76, 12–19, https://doi.org/10.1097/PSY.0000000000000009 (2014). · DOI · Paper page
  26. Black, C. N., Bot, M., Scheffer, P. G., Snieder, H. & Penninx, B. Uric acid in major depressive and anxiety disorders. J Affect Disord 225, 684–690, https://doi.org/10.1016/j.jad.2017.09.003 (2017). · DOI
  27. Blom, R. M. et al. Association between a serotonin transporter promoter polymorphism (5HTTLPR) and personality disorder traits in a community sample. J Psychiatr Res 45, 1153–1159, https://doi.org/10.1016/j.jpsychires.2011.03.003 (2011). · DOI
  28. Rosmond, R., Baghei, F., Holm, G. & Bjorntorp, P. Relationships between personality disorders and anthropometry, hormones and metabolism in women. J Endocrinol Invest 24, 159–165, https://doi.org/10.1007/BF03343836 (2001). · DOI
  29. Lorenzi, T. M., Borba, D. L., Dutra, G. & Lara, D. R. Association of serum uric acid levels with emotional and affective temperaments. J Affect Disord 121, 161–164, https://doi.org/10.1016/j.jad.2009.05.023 (2010). · DOI
  30. Lu, P. P. et al. Pro-inflammatory effect of fibrinogen and FDP on vascular smooth muscle cells by IL-6, TNF-alpha and iNOS. Life Sci 88, 839–845, https://doi.org/10.1016/j.lfs.2011.03.003 (2011). · DOI
  31. Capuron, L. et al. Relationship between adiposity, emotional status and eating behaviour in obese women: role of inflammation. Psychol Med 41, 1517–1528, https://doi.org/10.1017/S0033291710001984 (2011). · DOI
  32. Kato, T. A. et al. Minocycline modulates human social decision-making: possible impact of microglia on personality-oriented social behaviors. PLoS One 7, e40461, https://doi.org/10.1371/journal.pone.0040461 (2012). · DOI
  33. Duda, M., Kosmicki, J. A. & Wall, D. P. Testing the accuracy of an observation-based classifier for rapid detection of autism risk. Transl Psychiatry 4, e424, https://doi.org/10.1038/tp.2014.65 (2014). · DOI
  34. Kato, T. A. et al. Multidimensional anatomy of ‘modern type depression’ in Japan: A proposal for a different diagnostic approach to depression beyond the DSM-5. Psychiatry Clin Neurosci 70, 7–23, https://doi.org/10.1111/pcn.12360 (2016). · DOI · Paper page
  35. Thinking big in mental health. Nature Medicine 24, 1, https://doi.org/10.1038/nm.4471 (2018). · DOI
  36. Watabe, M. et al. Minocycline, a microglial inhibitor, reduces ‘honey trap’ risk in human economic exchange. Sci Rep 3, 1685, https://doi.org/10.1038/srep01685 (2013). · DOI
  37. Alici, D. et al. Evaluation of oxidative metabolism and oxidative DNA damage in patients with obsessive-compulsive disorder. Psychiatry Clin Neurosci 70, 109–115, https://doi.org/10.1111/pcn.12362 (2016). · DOI
  38. Sarandol, A. et al. First-episode psychosis is associated with oxidative stress: Effects of short-term antipsychotic treatment. Psychiatry Clin Neurosci 69, 699–707, https://doi.org/10.1111/pcn.12333 (2015). · DOI
  39. Kunugi, H., Hori, H. & Ogawa, S. Biochemical markers subtyping major depressive disorder. Psychiatry Clin Neurosci 69, 597–608, https://doi.org/10.1111/pcn.12299 (2015). · DOI
  40. Nishi, D. et al. Omega-3 fatty acid supplementation for expectant mothers with depressive symptoms in Japan and Taiwan: An open-label trial. Psychiatry Clin Neurosci 70, 253–254, https://doi.org/10.1111/pcn.12388 (2016). · DOI
  41. Rodriguez Solano, J. J. & Gonzalez De Chavez, M. Premorbid personality disorders in schizophrenia. Schizophr Res 44, 137–144, https://doi.org/10.1016/S0920-9964(99)00203-0 (2000). · DOI
  42. Ryff, C. D. et al. Culture, inequality, and health: evidence from the MIDUS and MIDJA comparison. Cult Brain 3, 1–20, https://doi.org/10.1007/s40167-015-0025-0 (2015). · DOI
  43. Prentice, R. L. et al. Low-fat dietary pattern and risk of invasive breast cancer: the Women’s Health Initiative Randomized Controlled Dietary Modification Trial. JAMA 295, 629–642, https://doi.org/10.1001/jama.295.6.629 (2006). · DOI · Paper page
  44. Miller, J. D., Bagby, R. M., Pilkonis, P. A., Reynolds, S. K. & Lynam, D. R. A simplified technique for scoring DSM-IV personality disorders with the Five-Factor Model. Assessment 12, 404–415, https://doi.org/10.1177/1073191105280987 (2005). · DOI
  45. Burger, J. M. Individual differences in preference for solitude. Journal of Research in Personality 29, 85–108 (1995). · DOI
  46. Russell, D., Peplau, L. A. & Cutrona, C. E. The revised UCLA Loneliness Scale: concurrent and discriminant validity evidence. J Pers Soc Psychol 39, 472–480 (1980). · DOI · Paper page
  47. Schumaker, J. F., Shea, J. D., Monfries, M. M. & Groth-Marnat, G. Loneliness and life satisfaction in Japan and Australia. J Psychol 127, 65–71, https://doi.org/10.1080/00223980.1993.9915543 (1993). · DOI
  48. Widyanto, L. & McMurran, M. The psychometric properties of the internet addiction test. Cyberpsychol Behav 7, 443–450, https://doi.org/10.1089/cpb.2004.7.443 (2004). · DOI · Paper page
  49. Kurimoto, A. et al. Reliability and validity of the Japanese version of the abbreviated Lubben Social Network Scale. Nihon Ronen Igakkai Zasshi 48, 149–157 (2011). · DOI
  50. Lubben, J. et al. Performance of an abbreviated version of the Lubben Social Network Scale among three European community-dwelling older adult populations. Gerontologist 46, 503–513 (2006). · DOI · Paper page
  51. Zimet, G. D., Powell, S. S., Farley, G. K., Werkman, S. & Berkoff, K. A. Psychometric characteristics of the Multidimensional Scale of Perceived Social Support. J Pers Assess 55, 610–617, https://doi.org/10.1080/00223891.1990.9674095 (1990). · DOI · Paper page
  52. Nagata, T., Nakajima, T., Teo, A. R., Yamada, H. & Yoshimura, C. Psychometric properties of the Japanese version of the Social Phobia Inventory. Psychiatry Clin Neurosci 67, 160–166, https://doi.org/10.1111/pcn.12037 (2013). · DOI

Cited by

Sorted by citations

See all 69

Metadata

Authors
Hayakawa, K., Kato, T. A., Watabe, M., Teo, A. R., Horikawa, H., Kuwano, N., Shimokawa, N., Sato-Kasai, M., Kubo, H., Ohgidani, M., Sagata, N., Toda, H., Tateno, M., Shinfuku, N., Kishimoto, J., & Kanba, S.
Affiliations
  • Kyushu University (JP)
  • Monash University Malaysia (MY)
  • Oregon Health & Science University (US)
  • National Defense Medical College (JP)
  • Sapporo Medical University (JP)
  • Kobe University (JP)
Corresponding author
Kato, Takahiro A.
Venue
Scientific Reports
Published
2018-02-13
Volume
8
Issue
1
Pages
2884-2884
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2799689984
Cited by
69
References
9
Citations by year
2026: 7 · 2025: 11 · 2024: 4 · 2023: 11 · 2022: 8 · 2021: 7 · 2020: 8 · 2019: 11 · 2018: 2
FWCI
22.75
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Monash University Research Portal (Monash University) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • U.S. Department of Veterans Affairs
  • Japan Agency for Medical Research and Development
  • SENSHIN Medical Research Foundation
  • Japan Society for the Promotion of Science (15K15431, 26713039, 19K20760, 16H06400, JP16H06403, 16H02666)
Topics
  • Social Sciences › Education › Youth Substance Use and School Attendance
  • Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
hikikomori, blood biomarkers, avoidant personality traits, HDL cholesterol, uric acid, fibrin degradation products, high-sensitivity C-reactive protein, trust game, sex differences
MeSH terms
Adult, Cooperative Behavior, Female, Humans, Male, Surveys and Questionnaires, Social Behavior, Social Isolation, Biomarkers, Trust, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review