Gender-related patterns of psychiatric disorder clustering among bariatric surgery candidates: A latent class analysis

Carregando...
Imagem de Miniatura
Citações na Scopus
2
Tipo de produção
article
Data de publicação
2018
Título da Revista
ISSN da Revista
Título do Volume
Editora
ELSEVIER SCIENCE BV
Citação
JOURNAL OF AFFECTIVE DISORDERS, v.240, p.72-78, 2018
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Background: Psychiatric disorders tend to distribute unevenly in women and men with severe obesity. The current research aimed to identify homogeneous clusters of concurrent psychiatric disorders among patients seeking bariatric surgery, by gender. Methods: We recruited a consecutive sample of 393 candidates with obesity (311 women and 82 men) in a university-based bariatric center. Trained clinicians assessed psychiatric disorders through the Structured Clinical Interview for DSM-IV (SCID). Latent class analysis categorized pre-surgical patients into uniform clusters of co-occurring psychiatric disorders. Results: For both genders, the 3-class psychopathological clustering was the best-fitting solution. Among women, the latent classes were: (1) ""oligosymptomatic"", wherein 42% of patients showed low probability of psychiatric disorders; (2) ""bipolar with comorbidities"", in 33%; and (3) ""anxiety/depression"", in 25%. Among men, (1) ""bipolar with comorbidities"" was found in 47% of patients; (2) ""oligosymptomatic"", in 40%; and (3) ""anxiety/depression"", in 13%. For both genders, the probability of presenting eating disorders was higher in both ""bipolar"" and ""anxiety/depression"" classes. Substance use disorders was prominent among ""bipolar"" men. In comparison with ""oligosymptomatic"" class, the likelihood of higher BMI was observed among ""bipolar"" men and poorer work attainment among men with ""anxiety/depression"". Limitation: Participants was cross-sectionally drawn from a single bariatric center. Conclusions: Pre-surgical men and women with severe obesity were distributed in three comorbidity profiles and revealed analogous psychopathological patterns. The class of ""bipolar disorders"" most likely presented comorbidity with eating and substance use disorder. This natural clustering of psychiatric disorders among bariatric patients suggests gender-related therapeutic approaches and surgical outcomes.
Palavras-chave
Psychiatric disorders, Obesity, Comorbidity, Latent class analysis, Bipolar disorders, Bariatric surgery
Referências
  1. Afshin A, 2017, NEW ENGL J MED, V377, P13, DOI 10.1056/NEJMoa1614362
  2. Agresti A., 2002, WILLEY SERIES PROBAB
  3. Albanese Mark J, 2006, J Psychiatr Pract, V12, P124, DOI 10.1097/00131746-200603000-00010
  4. Alexandrino-Silva C, 2013, J AFFECT DISORDERS, V147, P355, DOI 10.1016/j.jad.2012.11.041
  5. American Psychiatric Association, 2000, DIAGN STAT MAN MENT
  6. Andrade LH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031879
  7. [Anonymous], 2017, LANCET, V390, P2016, DOI 10.1016/S0140-6736(17)32129-3
  8. Apovian CM, 2015, OBESITY, V23, pS1, DOI 10.1002/oby.21140
  9. Barry D, 2009, ADDICT BEHAV, V34, P51, DOI 10.1016/j.addbeh.2008.08.008
  10. Barry D, 2008, ANN EPIDEMIOL, V18, P458, DOI 10.1016/j.annepidem.2007.12.009
  11. Baskaran A, 2014, BIPOLAR DISORD, V16, P83, DOI 10.1111/bdi.12141
  12. Burgmer R, 2014, OBES SURG, V24, P1670, DOI 10.1007/s11695-014-1226-x
  13. Dawes AJ, 2016, JAMA-J AM MED ASSOC, V315, P150, DOI 10.1001/jama.2015.18118
  14. de Zwaan M, 2011, J AFFECT DISORDERS, V133, P61, DOI 10.1016/j.jad.2011.03.025
  15. Desai RA, 2009, CNS SPECTRUMS, V14, P372, DOI 10.1017/S1092852900023026
  16. Diflorio A, 2010, INT REV PSYCHIATR, V22, P437, DOI 10.3109/09540261.2010.514601
  17. Duarte-Guerra LS, 2017, PSYCHIAT RES, V257, P1, DOI 10.1016/j.psychres.2017.07.020
  18. Duarte-Guerra LS, 2015, OBES SURG, V25, P830, DOI 10.1007/s11695-014-1464-y
  19. Edgcomb JB, 2018, J AFFECT DISORDERS, V227, P681, DOI 10.1016/j.jad.2017.11.083
  20. First MB, 2002, STRUCTURED CLIN INTE
  21. GREEN BF, 1952, J AM STAT ASSOC, V47, P71, DOI 10.2307/2279978
  22. GREEN BF, 1951, PSYCHOMETRIKA, V16, P151
  23. HABERMAN SJ, 1973, BIOMETRICS, V29, P205, DOI 10.2307/2529686
  24. Kalarchian MA, 2007, AM J PSYCHIAT, V164, P328, DOI 10.1176/appi.ajp.164.2.328
  25. KESSLER RC, 1994, J AFFECT DISORDERS, V30, P15, DOI 10.1016/0165-0327(94)90147-3
  26. Kessler RC, 2005, ARCH GEN PSYCHIAT, V62, P617, DOI 10.1001/archpsyc.62.6.617
  27. Lazarsfeld P., 1968, LATENT STRUCTUTURE A
  28. Lin HY, 2013, BMC PSYCHIATRY, V13, DOI 10.1186/1471-244X-13-1
  29. Lo YT, 2001, BIOMETRIKA, V88, P767, DOI 10.1093/biomet/88.3.767
  30. Mahony D, 2008, OBES SURG, V18, P607, DOI 10.1007/s11695-007-9245-5
  31. Malik S, 2014, COMPR PSYCHIAT, V55, P248, DOI 10.1016/j.comppsych.2013.08.021
  32. Mauri M, 2008, J CLIN PSYCHIAT, V69, P295, DOI 10.4088/JCP.v69n0216
  33. Minihan S, 2018, J AFFECT DISORDERS, V232, P252, DOI 10.1016/j.jad.2018.02.010
  34. Mitchell JE, 2015, INT J EAT DISORDER, V48, P215, DOI 10.1002/eat.22275
  35. Mitchell JE, 2012, SURG OBES RELAT DIS, V8, P533, DOI 10.1016/j.soard.2012.07.001
  36. Muhlhans Barbara, 2009, Gen Hosp Psychiatry, V31, P414, DOI 10.1016/j.genhosppsych.2009.05.004
  37. Muthen LK, 1998, MPLUS USERS GUIDE
  38. Martinez EP, 2013, INT J PSYCHIAT CLIN, V17, P197, DOI 10.3109/13651501.2012.704383
  39. Rajan TM, 2017, J POSTGRAD MED, V63, P182, DOI 10.4103/jpgm.JPGM_712_16
  40. Schafer L, 2017, INT J EAT DISORDER, V50, P1172, DOI 10.1002/eat.22760
  41. Schmidt MI, 2011, LANCET, V377, P1949, DOI 10.1016/S0140-6736(11)60135-9
  42. Segura-Garcia C, 2017, J AFFECT DISORDERS, V208, P424, DOI 10.1016/j.jad.2016.11.005
  43. Simon GE, 2006, ARCH GEN PSYCHIAT, V63, P824, DOI 10.1001/archpsyc.63.7.824
  44. Sullivan PF, 1998, AM J PSYCHIAT, V155, P1398, DOI 10.1176/ajp.155.10.1398
  45. Swanson SA, 2014, INT J EAT DISORDER, V47, P762, DOI 10.1002/eat.22308
  46. Sysko R, 2011, INT J PEDIATR OBES, V6, P289, DOI 10.3109/17477166.2010.545411
  47. Tronieri JS, 2017, CURR PSYCHIAT REP, V19, DOI 10.1007/s11920-017-0784-8
  48. Veltman EM, 2017, J AFFECT DISORDERS, V218, P123, DOI 10.1016/j.jad.2017.04.059
  49. VUONG QH, 1989, ECONOMETRICA, V57, P307, DOI 10.2307/1912557
  50. Wade TD, 2006, ARCH GEN PSYCHIAT, V63, P1377, DOI 10.1001/archpsyc.63.12.1377
  51. World Health Organization, 2017, GEND WOM MENT HLTH W