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. 2013 Jan 15:14:12.
doi: 10.1186/1471-2369-14-12.

Social adaptability and substance abuse: predictors of depression among hemodialysis patients?

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Social adaptability and substance abuse: predictors of depression among hemodialysis patients?

Paulo Roberto Santos et al. BMC Nephrol. .

Abstract

Background: Several aspects linked to social are involved in the onset of depressive feelings. We aimed to find out if social adaptability and substance abuse predict depression among end-stage renal disease (ESRD) patients undergoing hemodialysis (HD).

Methods: We included 145 ESRD patients undergoing HD. Social adaptability was estimated by the Social Adaptability Index (SAI). Substance abuse was defined according to SAI. We screened for depression by applying the 20-item version of the Center for Epidemiologic Studies Depression Scale. A score ≥ 24 classified the patients as depressed. Comparisons between depressed and non-depressed patients were carried out and logistic regression was performed to test gender, age, total SAI, SAI without the substance abuse item, only the substance abuse score and substance abuse as a categorical variable (yes/no) as predictors of depression.

Results: There were 36 (24.8%) depressed patients. There were no differences regarding demographic and laboratory data between the depressed and non-depressed patients. Mean SAI among depressed and non-depressed patients was, respectively, 6.1 ± 1.6 vs. 6.2 ± 1.9 (p=0.901). The percentage of patients with or without substance abuse among depressed patients was, respectively, 13.8% vs. 13.9% (p=1.000). Gender, age, total SAI, SAI without the substance abuse item, only the substance abuse score and substance abuse as a categorical variable did not predict depression.

Conclusions: Social adaptability and substance abuse did not predict depression in HD patients. We propose that aspects related to socioeconomic status not comprised in SAI items should be ruled out as predictors of depression.

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References

    1. Cukor D, Peterson RA, Cohen SD, Kimmel PL. Depression in end-stage renal disease hemodialysis patients. Nat Clin Pract Nephrol. 2006;2:678–687. doi: 10.1038/ncpneph0359. - DOI - PubMed
    1. Watnick S, Kirwin P, Mahnensmith R, Concato J. The prevalence and treatment of depression among patients starting dialysis. Am J Kidney Dis. 2003;41:105–110. doi: 10.1053/ajkd.2003.50029. - DOI - PubMed
    1. Santos PR. Depression and quality of life of Hemodialysis patients living in a poor region of Brazil. Rev Bras Psiquiatr. 2011;33:332–337. - PubMed
    1. Gavin AR, Walton E, Chae DH, Alegria M, Jackson JS, Takeuchi D. The associations between socio-economic status and major depressive disorder among Blacks, Latinos, Asians and non-Hispanic Whites: findings from the Collaborative Psychiatric Epidemiology Studies. Psychol Med. 2010;40:51–61. doi: 10.1017/S0033291709006023. - DOI - PMC - PubMed
    1. Zivin K, Bohnert AS, Mezuk B, Ilgen MA, Welsh D, Ratliff S, Miller EM, Valenstein M, Kilbourne AM. Employment status of patients in the VA health system: implications for mental health services. Psychiatr Serv. 2011;62:35–38. doi: 10.1176/appi.ps.62.1.35. - DOI - PubMed

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