Relationship between depression and quality of life in Nigerian outpatients with heart failure

Ola, Bolanle; Adewuya, Abiodun O.; Ajayi, Olufemi E.; Akintomide, Anthony Olubunmi; Oginni, Olaleye O.; Ologun, Yemisi A.

doi:10.1016/j.jpsychores.2006.04.022

Cited by 27 publications

(17 citation statements)

References 12 publications

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“…In our study, in agreement with other studies (Juenger et al 2002;Jiang et al 2001;Ola et al 2006;O'Connor and Joynt 2004), we found depressive symptoms to be very prevalent and significantly associated with poorer QoL in all domains of both SF-36 and KCCQ (Table 1). One would think that depressive symptoms could affect the psychological domain of the patient's QoL because of the methodical and conceptual overlap between either constructs, or its influence could be higher and also includes the physical domain of QoL.…”

Section: Discussionsupporting

confidence: 93%

Quality of Life Predicts Survival and Hospitalisation in a Heart Failure Portuguese Population

Ramos

Prata

Rocha-Gonçalves

et al. 2016

Applied Research Quality Life

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The aim of this study was to examine whether quality of life (QoL) is an independent predictor of death and hospitalization for cardiovascular (CV) causes in patients with heart failure (HF). A 6-year prospective study was conducted on 130 outpatients with HF who were recruited from a cardiology service at S. João Hospital. Generic QoL was measured with the Medical Outcome Study 36-item Short Form Survey (SF-36), disease-specific QoL was measured with the Kansas City Cardiomyopathy Questionnaire (KCCQ) and the Beck Depression Inventory Scale (BDI-II) was used to screen for depressive symptoms (DS). Logistic regression and multinomial logistic regression analysis were used to evaluate the independent prognostic value of QoL measures on all cause mortality and hospitalization for CV causes after adjustment for clinical risk factors. During the follow-up 48 % of the participants died for all causes and 38 % were hospitalized for CV causes. Both generic and disease-specific QoL instruments were predictive of mortality and hospitalization on univariate analysis. After adjustment for prognostic factors such as DS, age, gender, B-type natriuretic peptide (BNP) levels, renal insufficiency and functional class NHYA only the summary clinical domain of KCCQ remained predictive of mortality. With respect to hospitalization for CV causes remained the predictive power: the summary clinical domain and the self-efficacy domains of KCCQ and the physical health domain of SF-36. Worse Applied Research Quality Life 4 Rua Cândido Beirante n°6, 4715-269 Braga, PortugalQoL is associated with all-cause death and hospitalization for CV causes in patients with HF and its impact persists over 6 years.

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Section: Discussionsupporting

confidence: 93%

Quality of Life Predicts Survival and Hospitalisation in a Heart Failure Portuguese Population

Ramos

Prata

Rocha-Gonçalves

et al. 2016

Applied Research Quality Life

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“…13 MMAS-4 has been validated and used in Nigeria. 15 It has fair psychometric properties. The sensitivity and specificity were 81% and 44%, respectively.…”

Section: Methodsmentioning

confidence: 99%

Medication adherence among Nigerians with schizophrenia: correlation between clinico-demographic factors and quality of life

et al. 2017

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Medication adherence contributes significantly to symptom remission, recovery and wellbeing in mental illnesses. We evaluated how medication adherence correlates with clinico-demographic factors and quality of life (QoL) in a sample of Nigerians with schizophrenia. This descriptive cross-sectional study involved 160 randomly selected participants with confirmed diagnosis of schizophrenia based on MINI International Neuropsychiatric Interview. Data on socio-demographic and clinical characteristics of participants were collected with a questionnaire. Medication adherence was assessed with Morisky Medication Adherence Questionnaire, and participants completed the World Health Organization Quality of Life Scale-BREF. The mean age of participants was 38.54 (±11.30) years, and all the participants were on antipsychotics, but only 45% were adherent to their medication. Out of all the participants, 45 (28.2%) considered their overall QoL to be good, 97 (60.6%) considered theirs to be fair, while 18 (11.2%) reported poor QoL. Medication non-adherence correlated negatively with good QoL across multiple dimensions including overall QoL (r=-0.175), health satisfaction (r=-0.161), physical (r=-0.186) and psychological domain (r=-0.175). Again, participant’s age (r=-0.190) and age of onset of illness (r=-0.172) correlated negatively with medication non-adherence, and a trend towards relapse delay with medication adherence was also observed (r=-0.155). The effect size of these correlations were however small. Our findings suggest a link between medication adherence and QoL in schizophrenia, such that strategy that addresses medication non-adherence and its determinants may have potential benefits on wellbeing. Further hypotheses-driven studies are desirable.

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“…The PHQ-9 scoring algorithm for DSM-IV diagnoses of MDD and ODD is described elsewhere (p. 607) 57 . The PHQ-9 total score ranges from 0 to 27 with five severity categories: minimal (0-4), mild (5-9), moderate (10)(11)(12)(13)(14), moderately severe (15)(16)(17)(18)(19) and severe (20)(21)(22)(23)(24)(25)(26)(27). General health perception rating was administered 85 : "In general how would you rate your overall health right now?"…”

Section: Methodsmentioning

confidence: 99%

“…The social, economic and health impact of depression in sub-Saharan Africa is also great, where depression is associated with mortality [2][3][4][5] , work disability [4][5][6][7] , lower quality of life 5,[8][9][10][11][12] , risk of heart disease 13 and high-risk behaviors for contracting HIV infection 14 . With one exception 15 , the sparse literature on depression among individuals living with HIV/AIDS in sub-Saharan Africa has shown elevated rates of depression relative to community samples 3,8,10,[16][17][18][19][20][21][22][23][24][25] , consistent with western countries [26][27][28][29] .…”

Section: Introductionmentioning

confidence: 99%

Validity/Reliability of PHQ-9 and PHQ-2 Depression Scales Among Adults Living with HIV/AIDS in Western Kenya

et al. 2008

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BACKGROUND: Depression greatly burdens subSaharan Africa, especially populations living with HIV/ AIDS, for whom few validated depression scales exist. Patient Health Questionnaire-9 (PHQ-9), a brief dualpurpose instrument yielding DSM-IV diagnoses and severity, and PHQ-2, an ultra-brief screening tool, offer advantages in resource-constrained settings. OBJECTIVE:To assess the validity/reliability of PHQ-9 and PHQ-2. DESIGN: Observational, two occasions 7 days apart.PARTICIPANTS: A total of 347 patients attending psychosocial support groups.MEASUREMENTS: Demographics, PHQ-9, PHQ-2, general health perception rating and CD4 count. RESULTS:Rates for PHQ-9 DSM-IV major depressive disorder (MDD), other depressive disorder (ODD) and any depressive disorder were 13%, 21% and 34%. Depression was associated with female gender, but not CD4. Construct validity was supported by: (1) a strong association between PHQ-9 and general health rating, (2) a single major factor with loadings exceeding 0.50, (3) item-total correlations exceeding 0.37 and (4) a pattern of item means similar to US validation studies. Four focus groups indicated culturally relevant content validity and minor modifications to the PHQ-9 instructions. Coefficient alpha was 0.78. Test-retest reliability was acceptable: (1) intraclass correlation 0.59 for PHQ-9 total score, (2) kappas 0.24, 0.25 and 0.38 for PHQ-9 MDD, ODD and any depressive disorder and (3) weighted kappa 0.53 for PHQ-9 depression severity categories. PHQ-2 ≥3 demonstrated high sensitivity (85%) and specificity (95%) for diagnosing any PHQ-9 depressive disorder (AUC, 0.97), and 91% and 77%, respectively, for diagnosing PHQ-9 MDD (AUC, 0.91). Psychometrics were also good within four gender/age (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35) subgroups.CONCLUSIONS: PHQ-9 and PHQ-2 appear valid/ reliable for assessing DSM-IV depressive disorders and depression severity among adults living with HIV/AIDS in western Kenya. INTRODUCTIONMore than 70% of all deaths attributable to HIV/AIDS are in sub-Saharan Africa, with approximately 6.1% of adults living with HIV in Kenya in 2005 1 . The social, economic and health impact of depression in sub-Saharan Africa is also great, where depression is associated with mortality 2-5 , work disability 4-7 , lower quality of life 5,[8][9][10][11][12] , risk of heart disease 13 and high-risk behaviors for contracting HIV infection 14 . With one exception 15 , the sparse literature on depression among individuals living with HIV/AIDS in sub-Saharan Africa has shown elevated rates of depression relative to community samples 3,8,10,[16][17][18][19][20][21][22][23][24][25] , consistent with western countries [26][27][28][29] . Thus, there is an urgency to incorporating mental health into HIV/ AIDS treatment programs in sub-Saharan Africa, including western Kenya [30][31][32][33][34][35] .Depression in sub-Saharan Africa presents in forms (culturespecific idioms, somatic, based on interpersonal relationships or spiritual in nature) that may o...

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Relationship between depression and quality of life in Nigerian outpatients with heart failure

Cited by 27 publications

References 12 publications

Quality of Life Predicts Survival and Hospitalisation in a Heart Failure Portuguese Population

Quality of Life Predicts Survival and Hospitalisation in a Heart Failure Portuguese Population

Medication adherence among Nigerians with schizophrenia: correlation between clinico-demographic factors and quality of life

Validity/Reliability of PHQ-9 and PHQ-2 Depression Scales Among Adults Living with HIV/AIDS in Western Kenya

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