Incidence and risk factors for late-life depression in the Ibadan Study of Ageing

2011 ◽  
Vol 41 (9) ◽  
pp. 1897-1906 ◽  
Author(s):  
O. Gureje ◽  
B. Oladeji ◽  
T. Abiona

BackgroundWe present the incidence and risk factors for major depressive disorder (MDD) among community-dwelling elderly Nigerians.MethodA cohort study of persons aged ⩾65 years residing in eight contiguous Yoruba-speaking states in south-west and north-central Nigeria was conducted between November 2003 and December 2007. Of the 2149 baseline sample, 1408 (66%) were successfully followed up after approximately 39 months. Face-to-face in-home assessments were conducted with the World Health Organization (WHO) Composite International Diagnostic Interview, version 3 (CIDI.3) and diagnosis was based on the DSM-IV. Incident MDD was determined in the group with no prior lifetime history of MDD at baseline and who were free of dementia at follow-up (n=892).ResultsDuring the follow-up period, 308 persons had developed incident MDD, representing a rate of 104.3 [95% confidence interval (CI) 93.3–116.6] per 1000 person-years. Compared to males, the age-adjusted hazard for females was 1.63 (95% CI 1.30–2.06). Lifetime or current subsyndromal symptoms of depression at baseline did not increase the risk of incident MDD. Among females, but not males, rural residence and poor social network were risk factors for incident MDD. Physical health status at baseline did not predict new onset of MDD.ConclusionsThe finding of a high incidence of MDD among elderly Nigerians complements earlier reports of a high prevalence of the disorder in this understudied population. Social factors, in particular those relating to social isolation, constitute a risk for incident MDD.

10.2196/18453 ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. e18453 ◽  
Author(s):  
Tony Olmert ◽  
Jason D Cooper ◽  
Sung Yeon Sarah Han ◽  
Giles Barton-Owen ◽  
Lynn Farrag ◽  
...  

Background Mood disorders affect hundreds of millions of people worldwide, imposing a substantial medical and economic burden. Existing diagnostic methods for mood disorders often result in a delay until accurate diagnosis, exacerbating the challenges of these disorders. Advances in digital tools for psychiatry and understanding the biological basis of mood disorders offer the potential for novel diagnostic methods that facilitate early and accurate diagnosis of patients. Objective The Delta Trial was launched to develop an algorithm-based diagnostic aid combining symptom data and proteomic biomarkers to reduce the misdiagnosis of bipolar disorder (BD) as a major depressive disorder (MDD) and achieve more accurate and earlier MDD diagnosis. Methods Participants for this ethically approved trial were recruited through the internet, mainly through Facebook advertising. Participants were then screened for eligibility, consented to participate, and completed an adaptive digital questionnaire that was designed and created for the trial on a purpose-built digital platform. A subset of these participants was selected to provide dried blood spot (DBS) samples and undertake a World Health Organization World Mental Health Composite International Diagnostic Interview (CIDI). Inclusion and exclusion criteria were chosen to maximize the safety of a trial population that was both relevant to the trial objectives and generalizable. To provide statistical power and validation sets for the primary and secondary objectives, 840 participants were required to complete the digital questionnaire, submit DBS samples, and undertake a CIDI. Results The Delta Trial is now complete. More than 3200 participants completed the digital questionnaire, 924 of whom also submitted DBS samples and a CIDI, whereas a total of 1780 participants completed a 6-month follow-up questionnaire and 1542 completed a 12-month follow-up questionnaire. The analysis of the trial data is now underway. Conclusions If a diagnostic aid is able to improve the diagnosis of BD and MDD, it may enable earlier treatment for patients with mood disorders. International Registered Report Identifier (IRRID) DERR1-10.2196/18453


2020 ◽  
Author(s):  
Tony Olmert ◽  
Jason D Cooper ◽  
Sung Yeon Sarah Han ◽  
Giles Barton-Owen ◽  
Lynn Farrag ◽  
...  

BACKGROUND Mood disorders affect hundreds of millions of people worldwide, imposing a substantial medical and economic burden. Existing diagnostic methods for mood disorders often result in a delay until accurate diagnosis, exacerbating the challenges of these disorders. Advances in digital tools for psychiatry and understanding the biological basis of mood disorders offer the potential for novel diagnostic methods that facilitate early and accurate diagnosis of patients. OBJECTIVE The Delta Trial was launched to develop an algorithm-based diagnostic aid combining symptom data and proteomic biomarkers to reduce the misdiagnosis of bipolar disorder (BD) as a major depressive disorder (MDD) and achieve more accurate and earlier MDD diagnosis. METHODS Participants for this ethically approved trial were recruited through the internet, mainly through Facebook advertising. Participants were then screened for eligibility, consented to participate, and completed an adaptive digital questionnaire that was designed and created for the trial on a purpose-built digital platform. A subset of these participants was selected to provide dried blood spot (DBS) samples and undertake a World Health Organization World Mental Health Composite International Diagnostic Interview (CIDI). Inclusion and exclusion criteria were chosen to maximize the safety of a trial population that was both relevant to the trial objectives and generalizable. To provide statistical power and validation sets for the primary and secondary objectives, 840 participants were required to complete the digital questionnaire, submit DBS samples, and undertake a CIDI. RESULTS The Delta Trial is now complete. More than 3200 participants completed the digital questionnaire, 924 of whom also submitted DBS samples and a CIDI, whereas a total of 1780 participants completed a 6-month follow-up questionnaire and 1542 completed a 12-month follow-up questionnaire. The analysis of the trial data is now underway. CONCLUSIONS If a diagnostic aid is able to improve the diagnosis of BD and MDD, it may enable earlier treatment for patients with mood disorders. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/18453


Crisis ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 80-86 ◽  
Author(s):  
Sami Hamdan ◽  
Nadine Melhem ◽  
Israel Orbach ◽  
Ilana Farbstein ◽  
Mohammad El-Haib ◽  
...  

Background: Relatively little is known about the role of protective factors in an Arab population in the presence of suicidal risk factors. Aims: To examine the role of protective factors in a subsample of in large Arab Kindred participants in the presence of suicidal risk factors. Methods: We assessed protective and risk factors in a sample of 64 participants (16 suicidal and 48 nonsuicidal) between 15 and 55 years of age, using a comprehensive structured psychiatric interview, the Composite International Diagnostic Interview (CIDI), self-reported depression, anxiety, hopelessness, impulsivity, hostility, and suicidal behavior in first-degree and second-relatives. We also used the Religiosity Questionnaire and suicide attitude (SUIATT) and multidimensional perceived support scale. Results: Suicidal as opposed to nonsuicidal participants were more likely to have a lifetime history of major depressive disorder (MDD) (68.8% vs. 22.9% χ2 = 11.17, p = .001), an anxiety disorder (87.5% vs. 22.9, χ2 = 21.02, p < .001), or posttraumatic stress disorder (PTSD) (25% vs. 0.0%, Fisher’s, p = .003). Individuals who are otherwise at high risk for suicidality have a much lower risk when they experience higher perceived social support (3.31 ± 1.36 vs. 4.96 ± 1.40, t = 4.10, df = 62, p < .001), and they have the view that suicide is somehow unacceptable (1.83 ± .10 vs. 1.89 ± .07, t = 2.76, df = 60, p = .008). Conclusions: Taken together with other studies, these data suggest that the augmentation of protective factors could play a very important role in the prevention of incidental and recurrent suicidal behavior in Arab populations, where suicidal behavior in increasing rapidly.


2006 ◽  
Vol 189 (1) ◽  
pp. 26-30 ◽  
Author(s):  
Jae-Min Kim ◽  
Robert Stewart ◽  
Sung-Wan Kim ◽  
Su-Jin Yang ◽  
Il-Seon Shin ◽  
...  

BackgroundCausal relationships between vascular factors and late-life depression are controversial.AimsTo investigate prospective associations between risk factors for vascular disease and incidence of late-life depression.MethodOf 661 community participants aged 65 years or over, without depression at baseline, 521 (79%) were re-evaluated 2 years later. At baseline and follow-up, a diagnostic interview for depression was carried out and information on vascular status, disability and cognitive function was gathered.ResultsPre-existing heart disease, incident stroke and lower baseline high-density lipoprotein cholesterol level were significantly associated with incidence of late-life depression, independently of disability and cognitive function.ConclusionsThese results provide some support for a vascular aetiology of late-life depression. However, important risk factors for cerebrovascular disease such as hypertension and diabetes were not implicated, and the associations with lipid levels might still be explained by affective states earlier in life.


2003 ◽  
Vol 182 (3) ◽  
pp. 205-209 ◽  
Author(s):  
Petros Skapinakis ◽  
Glyn Lewis ◽  
Venetsanos Mavreas

BackgroundUnexplained fatigue has been extensively studied but most of the samples used were from Western countries.AimsTo present international data on the prevalence of unexplained fatigue and fatigue as a presenting complaint in primary care.MethodSecondary analysis of the World Health Organization study of psychological problems in general health care. A total of 5438 primary care attenders from 14 countries were assessed with the Composite International Diagnostic Interview.ResultsThe prevalence of unexplained fatigue of 1-month duration differed across centres, with a range between 2.26 (95% CI 1.17–4.33) and 15.05 (95% CI 10.85–20.49). Subjects from more-developed countries were more likely to report unexplained fatigue but less likely to present with fatigue to physicians compared with subjects from less developed countries.ConclusionsIn less-developed countries fatigue might be an indicator of unmet psychiatric need, but in more-developed countries it is probably a symbol of psychosocial distress.


Author(s):  
Sunil Kumar Kasundriya ◽  
Mamta Dhaneria ◽  
Aditya Mathur ◽  
Ashish Pathak

Childhood pneumonia is a major public health problem. The aim of this prospective hospital-based study is to determine the incidence and risk factors for community-acquired severe pneumonia in children in Ujjain, India. The study includes 270 children, 161 (60%) boys and 109 (40%) girls, aged between 2 months and 5 years with World Health Organization defined and radiologically confirmed severe pneumonia. Considering the 270 children, 64% (95% confidence interval (CI) 57.9–69.4) have severe pneumonia. The following are identified as risk factors for severe pneumonia from the generalized logistic regression model: Born premature (adjusted odds ratio (AOR) 7.50; 95% CI 2.22–25.31; p = 0.001); history of measles (AOR 6.35; 95% CI 1.73–23.30; p = 0.005); incomplete vaccination (AOR 2.66; 95% CI 1.09–6.48; p = 0.031); acyanotic congenital heart disease (AOR 9.21; 95% CI 2.29–36.99; p = 0.002); home treatment tried (AOR 3.84; 95% CI 1.42–10.39; p = 0.008); living in a kuchha house (AOR 3.89; 95% CI 1.51–10.01; p = 0.027); overcrowding (AOR 4.50; 95% CI 1.75–11.51; p = 0.002);poor ventilation in living area (AOR 16.37; 95% CI 4.67–57.38; p < 0.001); and practicing open defecation (AOR 16.92; 95% CI 4.95–57.85; p < 0.001). Awareness of these risk factors can reduce mortality due to severe pneumonia.


1998 ◽  
Vol 173 (6) ◽  
pp. 501-507 ◽  
Author(s):  
William W. Eaton ◽  
James C. Anthony ◽  
Alan Romanoski ◽  
Allen Tien ◽  
Joseph Gallo ◽  
...  

BackgroundThe objective is to estimate parameters of the natural history of panic disorder, including its prodrome, incidence, recovery and recurrence.MethodIn 1981 the Baltimore Epidemiologic Catchment Area Study interviewed 3481 individuals probabilistically selected from the household population. During 1993–1996, 1920 of these individuals (73% of survivors) were interviewed again. Baseline and follow-up interviews included the National Institute of Mental Health Diagnostic Interview Schedule. During the follow-up, a subsample was assessed by psychiatrists using the World Health Organization Schedules for Clinical Assessment in Neuropsychiatry (SCAN).ResultsThere were 35 new cases of panic disorder in 24 475 person years of exposure, yielding an annual incidence of 1.43 per 1000 per year. Data from the SCAN assessments suggest the incidence estimate is conservative. Incidence is greater in females and declines with age. About one-third of the new cases arise without agoraphobia, but about half have anxiety of some sort present for many years prior to meeting criteria for diagnosis. People with agoraphobia have less intense onsets but slower recoveries than those without agoraphobia.ConclusionsPanic is heterogeneous in its pattern of onset and recovery. Some of the heterogeneity is associated with the presence of other anxiety over a long period of the life.


2004 ◽  
Vol 34 (2) ◽  
pp. 323-333 ◽  
Author(s):  
N. BRESLAU ◽  
S. P. NOVAK ◽  
R. C. KESSLER

Background. Recent research has demonstrated that smokers are at an elevated risk for psychiatric disorders. This study extends the enquiry by examining: (1) the specificity of the psychiatric sequelae of smoking; and (2) the variability in the likelihood of these sequelae by proximity and intensity of smoking.Method. Data come from the National Comorbidity Survey (NCS), a representative sample of the US population 15–54 years of age. The Smoking Supplement was administered to a representative subset of 4414 respondents. A modified World Health Organization – Composite International Diagnostic Interview was used to measure DSM-III-R disorders. Survival analysis with smoking variables as time-dependent covariates was used to predict the subsequent onset of specific psychiatric disorders.Results. The estimated effects of daily smoking varied across disorders. In the case of mood disorders, daily smoking predicted subsequent onset, with no variation between current versus past smokers or by smoking intensity. In the case of panic disorder and agoraphobia, current but not past smoking predicted subsequent onset; furthermore, the risk of these disorders in past smokers decreased with increasing time since quitting. In the case of substance use disorders, current but not past smoking predicted subsequent onset, with no variation by time since quitting or smoking intensity.Conclusions. The data suggest that smoking cessation programmes would not prevent the onset of mood disorder, as ex-smokers do not differ from current smokers in their risk for these disorders. In comparison, daily smoking might be a causal factor in panic disorder and agoraphobia, conditions that might be preventable by smoking cessation. Additionally, current smoking might serve as a marker for targeting interventions to prevent alcohol and drug disorders.


2020 ◽  
Author(s):  
Werayuth Srithum ◽  
Mai Kabayama ◽  
Yasuyuki Gondo ◽  
Yukie Masui ◽  
Yuya Akagi ◽  
...  

Abstract Background: Cognitive impairment is a major health concern among older and oldest people.Moreover, stroke is a relevant contributor for cognitive decline and development of dementia. The study of cognitive decline focused on stroke as the important risk factor by recruiting older and oldest is still lagging behind. Therefore, the aim of this study was to investigate the importance of stroke as a risk factor of cognitive decline during three years in community dwelling older and oldest people. Methods: This study was longitudinal study with a 3-year follow-up in Japan. The participants were 1,333community dwelling older and oldest people (70 years old = 675, 80 years old = 589, and 90 years old = 69). Data collected included basic data (age, sex, and history of stroke), vascular risk factors (hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, and current smoking), and social factors (educational level, frequency of going outdoors, long-term care (LTC) service used, and residential area). The Japanese version of the Montreal Cognitive Assessment (MoCA-J) was decline of ≥ 2 points was defined as cognitive decline. Multiple logistic regression analysis was used to investigate the association between stroke and other risk factors with cognitive decline during a 3-year follow-up. Results: The fit of the hypothesized model by multiple logistic regression showed that a history of stroke, advanced age, and greater MoCA-J score at the baseline were important risk factors, while the presence of dyslipidemia and a higher educational level were protective factors that were significantly correlated with cognitive decline during the 3-year follow-up. Conclusions: The cognitive decline after the 3-year follow-up was influenced by the history of stroke and advanced age, while greater MoCA-J score at the baseline was positively associated with subsequent 3 years cognitive decline. The protective factors were the presence of dyslipidemia and a higher educational level. Therefore, these factors are considered important and should be taken into consideration when searching for creative solutions to prevent cognitive decline after stroke in community dwelling older and oldest people.


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