Symptomatic and Functional Recovery From Major Depressive Disorder in the Ibadan Study of Ageing

Ojagbemi, Akin; Abiona, Taiwo; Luo, Zhehui; Gureje, Oye

doi:10.1016/j.jagp.2017.12.011

Cited by 9 publications

(8 citation statements)

References 23 publications

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“…The highest education level is advantageous. This finding is in agreement with studies byOjagbemi (2018) which indicated that, the early recovery from major depressive illness was linked to greater education. Andualem Mossie et al (2016) said that education level, illiterate could be the potential risk factor for depression.…”

supporting

confidence: 93%

Factor affecting Time-to-Recovery from Major Depressive Disorder (MDD): Case Study at Jimma University Specialized Hospital, Ethiopia

Barsisa

2024

Preprint

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Background Major Depressive Disorder (MDD) is depression that leads to disability and know days it is ranked as the 3rd burden of disease through the whole world and predicted to be 1st at 2030. Despite majority of MDD patients delay recovery during treatment, factor affecting time to recovery is unstudied. Hence, the main objective of this study was to explore the factors that affect time to recovery of MDD patients. Methods The data was taken from Jimma University Specialized Hospital (JUSH), South West Ethiopia. The retrospective study design was used. The time until the recovery of 204 patients chart were checked for 3 year follow up period from January 2018 to January 2021. The AFT models were employed after checking the restrictive assumption of Cox-PH model. Result Then, the study resulted, 134 (66%) were recovered and 70(34%) censored out of 204 patients. The median recovery time of the patients was 31 months but it varies depending on the covariates included in the study. Weibull AFT model was selected as the best model based on AIC. Accordingly, MDD patients of age: \(\ge 57 (\widehat{{\upvarphi }}=1.61[95\text{\%}: 1.12, 2.32\left]\right)\), marital status: widowed \((\widehat{{\upvarphi }}=1.61[95\text{\%}: 1.28, 2.04\left]\right)\), and substance use: yes \((\widehat{{\upvarphi }}=1.31[95\text{\%}: 1.12, 1.52\left]\right)\) had significantly prolonged time to recovery relative to their reference group 18–30 age, single marital status and no substance use respectively and MDD patients of sex: male \((\widehat{{\upvarphi }}=0.75[95\text{\%}: 0.66, 0.84\left]\right)\), education level: high school \((\widehat{{\upvarphi }}=0.69[95\text{\%}: 0.53, 0.88\left]\right)\) and college & above \((\widehat{{\upvarphi }}=0.55[95\text{\%}: 0.42, 0.71\left]\right)\) and living style: not alone \((\widehat{{\upvarphi }}=0.77[95\text{\%}: 0.67, 0.89\left]\right)\) had significantly shorten time to recovery relative to their reference group sex: female, education level: illiterate and living style: alone respectively. Conclusion In conclusion, the finding of this study showed that age, sex, marital status, education level, living style and status of substance use were major factors affecting recovery time of MDD patients. It is recommended to make interventions based on these factors.

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confidence: 93%

Factor affecting Time-to-Recovery from Major Depressive Disorder (MDD): Case Study at Jimma University Specialized Hospital, Ethiopia

Barsisa

2024

Preprint

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“…The large and representative sample and extended follow‐up periods provided a rare opportunity to observe the long‐term naturalistic trajectories of major depression in late life. On the basis of the literature, we hypothesized a priori that there would be a large group of participants who never experienced major depression during the study period, and the rest would follow three trajectories characterized with a recovery, recurrent, and chronic course, respectively …”

Section: Introductionmentioning

confidence: 99%

Trajectories of major depression in middle‐aged and older adults: A population‐based study

Xiang

Cheng

2019

Int J Geriat Psychiatry

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Objectives This study aimed to examine depression trajectories and correlates in a nationally representative sample of middle‐aged and older adults in the United States. Methods The study sample consisted of 15 661 participants aged over 50 years from the US Health and Retirement Study. Major depression was assessed using the Composite International Diagnostic Interview (CIDI‐SF). Depression trajectories were identified using a group‐based trajectory modeling enhanced to account for nonrandom attrition. Multinomial logistic regression was conducted to investigate predictors of depression trajectories. Results Four depression trajectory groups were identified: “never” (85.8%), “increasing” (6.3%), “decreasing” (3.2%), and “persistently moderate/high” (4.7%). Baseline depressive symptom severity was a strong predictor of depression trajectories. Older age, male sex, and non‐Hispanic African American race were associated with a lower risk of the three trajectories with small to high depression burden, whereas chronic disease count was associated with a higher risk of these trajectories. The risk of being on the increasing trajectory increased with mobility difficulties. Difficulties in household activities predicted membership in the persistently moderate/high group. Conclusions A small but nonignorable proportion of middle‐aged and older adults have chronic major depression. Initial symptom severity and chronic disease burden are consistent risk factors for unfavorable depression trajectories and potential targets for screening and intervention.

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“…This prospective longitudinal study aims at investigating the health and well-being of older persons living in households spread across the Yoruba-speaking communities in South-Western Nigeria that have collected data in four waves between 2003 and 2009. The sample size of the included studies ranged from 201 ( Ojagbemi et al, 2018 ) to 2,152 ( Oladeji et al, 2011 ) participants. The analytical approach for 13 studies was cross-sectional and the remaining seven studies utilized a longitudinal approach.…”

Section: Resultsmentioning

confidence: 99%

Longitudinal Studies of Aging in Sub-Saharan Africa: Review, Limitations, and Recommendations in Preparation of Projected Aging Population

Akinrolie,

Iwuagwu,

Kalu

et al. 2024

Innovation in Aging

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Background and Objectives The United Nations has projected a 218 percent increase in older people in sub-Saharan Africa (SSA) between 2019 and 2050, underscoring the need to explore changes that would occur over this time. Longitudinal studies are ideal for studying and proffering solutions to these changes. This review aims to understand the breadth and use of longitudinal studies on aging in the SSA regions, proffering recommendations in preparation for the projected aging population. Research Design and Methods This paper is the third of a Four-Part series paper of a previous systematic mapping review of aging studies in SSA. We updated the search (between 2021 and 2023) and screened the titles/abstracts and full-text articles by a pair of independent reviewers. Data were extracted using a standardized data-charting form, identifying longitudinal studies in SSA. Results We identified 193 studies leveraging 24 longitudinal study datasets conducted at 28 unique sites. The World Health Organization’s Study on Global Aging and Adult Health (WHO-SAGE) (N = 59, 30.5%) and Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) (N = 51, 26.4%) were the most used longitudinal datasets. Four studies used more than one longitudinal study dataset. Eighteen of the longitudinal study datasets were used only in one to four studies. Most (N = 150, 77.7%) of the studies used a cross-sectional analytical approach. Discussion and Implication Longitudinal studies on aging are sparingly being utilized in SSA. Most analyses conducted across the longitudinal dataset were cross-sectional, which hindered the understanding of aging changes that occurred over time that could better inform aging policy and interventions. We call for funding bodies, such as WHO-SAGE, to develop funding competitions that focus on conducting longitudinal analyses, such as structural equation modelling, highlighting changes occurring among the aging population in SSA.

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Symptomatic and Functional Recovery From Major Depressive Disorder in the Ibadan Study of Ageing

Cited by 9 publications

References 23 publications

Factor affecting Time-to-Recovery from Major Depressive Disorder (MDD): Case Study at Jimma University Specialized Hospital, Ethiopia

Factor affecting Time-to-Recovery from Major Depressive Disorder (MDD): Case Study at Jimma University Specialized Hospital, Ethiopia

Trajectories of major depression in middle‐aged and older adults: A population‐based study

Longitudinal Studies of Aging in Sub-Saharan Africa: Review, Limitations, and Recommendations in Preparation of Projected Aging Population

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