Risk Factor For Late-life Depression Research Articles

Lifestyle factors, physical health, and life satisfaction under different changes in depressive symptoms among Chinese community-dwelling older adults: A longitudinal analysis.

The study aims to investigate the long-term impact of lifestyle-related factors and physical health on life satisfaction and depressive symptoms among Chinese community-dwelling older adults. Using data from the China Health and Retirement Longitudinal Study (CHARLS), the analytic sample of this study included 1,068 older adults who had participated in the surveys in both 2011 and 2018. Multivariate regression was employed to analyze both cross-sectional and longitudinal relationships between lifestyle-related factors, physical health, and subjective well-being - specifically depressive symptoms and life satisfaction. Additionally, the model tested how these factors correlate with life satisfaction across different groups of depressive symptom changes among older adults, categorized as not at risk of depression, intermittent depression, and chronic depression. Multimorbidity was significantly related to baseline and follow-up depressive risk in older adults. Shorter sleep duration was associated with baseline depression risk. Current alcohol drinkers reported significantly more severe depressive symptoms than non-drinkers. At baseline, current smokers were more likely to have a lower degree of life satisfaction than nonsmokers. Among older adults with chronic depression at the 7-year follow-up, former smokers tended to have lower life satisfaction than nonsmokers. Our findings identified drinking alcohol and having a shorter sleep duration as modifiable lifestyle-related risk factors for late-life depression and smoking as a detrimental factor for life satisfaction in older Chinese adults. Multimorbidity was a significant predictor of more depressive symptoms. Our findings have implications for future psychosocial interventions that target the alleviation of depressive symptoms and the promotion of life satisfaction in older Chinese people based on their different long-term mental and physical health conditions.

Can Low Level of Life Satisfaction and Poor Living Arrangements Increase the Risk for Late Life Depression among Elderly?

Background: The elderly are less vulnerable to depressive symptoms compared to younger populations. However, there is a likelihood of a greater risk for late-life depression among the elderly due to perceptions of low life satisfaction and poor living arrangements. Despite numerous studies examining various risk factors for late-life depression, the impact of a poor perception of life satisfaction and living alone on the health of the elderly remains unclear. Methods: To investigate this, we examined late-life depressive symptoms among 30,389 Indian adults aged 60 and above. Using data from the recent round of the Longitudinal Aging Survey of India, we employed multivariable logistic regression to predict the likelihood of these factors, along with other associated risk factors. Discussion: Our findings confirm a significant correlation between both life satisfaction and living arrangements and late-life depressive symptoms. These factors have an impact on the mental health of older adults in later life, leading to stress, anxiety, trauma, and various co-morbid complications. Conclusion: This study thoroughly explores the theoretical implications and presents empirical results on the prevalence of late-life depression among the elderly, despite their lower risk profile. It highlights the importance of shaping policies in India to cater to the needs of the elderly, thereby reducing late-life depressive symptoms and minimizing the effects of risk factors. Additionally, focusing on coping strategies is essential to enhance social capital, making it crucial to implement social policies that provide support for the elderly and effectively address the mental health challenges associated with aging.

Depressive and Biopsychosocial Frailty Phenotypes: Impact on Late-life Cognitive Disorders.

In older age, frailty is a detrimental transitional status of the aging process featuring an increased susceptibility to stressors defined by a clinical reduction of homoeostatic reserves. Multidimensional frailty phenotypes have been associated with all-cause dementia, mild cognitive impairment (MCI), Alzheimer's disease (AD), AD neuropathology, vascular dementia, and non-AD dementias. In the present article, we reviewed current evidence on the existing links among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders, also examining common pathways and mechanisms underlying these links. The depressive frailty phenotype suggested by the construct of late-life depression (LLD) plus physical frailty is poorly operationalized. The biopsychosocial frailty phenotype, with its coexistent biological/physical and psychosocial dimensions, defines a biological aging status and includes motivational, emotional, and socioeconomic domains. Shared biological pathways/substrates among depressive and biopsychosocial frailty phenotypes and late-life cognitive disorders are hypothesized to be inflammatory and cardiometabolic processes, together with multimorbidity, loneliness, mitochondrial dysfunction, dopaminergic neurotransmission, specific personality traits, lack of subjective/objective social support, and neuroendocrine dysregulation. The cognitive frailty phenotype, combining frailty and cognitive impairment, may be a risk factor for LLD and vice versa, and a construct of depressive frailty linking physical frailty and LLD may be a good dementia predictor. Frailty assessment may enable clinicians to better target the pharmacological and psychological treatment of LLD. Given the epidemiological links of biopsychosocial frailty with dementia and MCI, multidomain interventions might contribute to delay the onset of late-life cognitive disorders and other adverse health-related outcomes, such as institutionalization, more frequent hospitalization, disability, and mortality.

A Sensor-Driven Visit Detection System in Older Adults' Homes: Towards Digital Late-Life Depression Marker Extraction.

Modern sensor technology is increasingly used in older adults to not only provide additional safety but also to monitor health status, often by means of sensor derived digital measures or biomarkers. Social isolation is a known risk factor for late-life depression, and a potential component of social-isolation is the lack of home visits. Therefore, home visits may serve as a digital measure for social isolation and late-life depression. Late-life depression is a common mental and emotional disorder in the growing population of older adults. The disorder, if untreated, can significantly decrease quality of life and, amongst other effects, leads to increased mortality. Late-life depression often goes undiagnosed due to associated stigma and the incorrect assumption that it is a normal part of ageing. In this work, we propose a visit detection system that generalizes well to previously unseen apartments - which may differ largely in layout, sensor placement, and size from apartments found in the semi-annotated training dataset. We find that by using a self-training-based domain adaptation strategy, a robust system to extract home visit information can be built (ROC AUC = 0.773). We further show that the resulting visit information correlates well with the common geriatric depression scale screening tool ( ρ = -0.87, p = 0.001), providing further support for the idea of utilizing the extracted information as a potential digital measure or even as a digital biomarker to monitor the risk of late-life depression.

Association between hearing loss and suicidal ideation among middle-aged and older adults

Objectives Hearing loss (HL) is regarded as a major risk factor for late-life depression. This study aims to further examine the association between HL and suicidal ideation (SI) among middle-aged and older adults using a nationally representative sample. Method The study sample comprised 34,142 adults (aged 50+) drawn from the 2015 to 2018 National Survey on Drug Use and Health. SI was measured by response to the question, ‘At any time in the past year, did you seriously think about trying to kill yourself?’ HL was assessed by asking respondents whether they were deaf or had serious difficulty hearing. Multivariate logistic regression analyses were conducted to examine the association between HL and SI after adjusting for a comprehensive list of covariates. Results Compared to those without HL, middle-aged and older adults with HL experienced significant health disparities regarding history of hospitalization, poor perceived health, higher prevalence of chronic diseases, depression, substance use, and SI. HL was positively associated with SI in the past year in both middle-aged (aOR = 1.59, 95% CI [1.14, 2.21], p < .001) and older adult groups (aOR = 1.58, 95% CI [1.07, 2.33], p < .001), controlling for depression, substance use, health status, and sociodemographic variables. Conclusion Given the high prevalence of hearing loss (HL) in aging populations, this study aimed to expand our knowledge of the relative strength of association between HL and SI. Findings implied that healthcare providers should consider screening for SI in those with HL.

Motivation and sensitivity to monetary reward in late-life insomnia: moderating role of sex and the inflammatory marker CRP.

Insomnia is a well-established risk factor for late-life depression, yet the intermediary mechanisms are not known. One plausible mechanism is dysregulation of the reward system, a common feature of depression. The main objective of the current study was to determine whether late-life insomnia is associated with reduced motivation and reduced sensitivity for monetary reward. Secondary exploratory objectives were to test for sex-specific effects and whether elevated inflammation potentiated these associations. Nondepressed community dwelling older adults (n = 104; aged 60-80) who either met (n = 31) or did not meet (n = 73) criteria for insomnia disorder as assessed by the Structured Clinical Interview for DSM-5 completed the Effort Expenditure for Rewards Task and provided blood samples for the assessment of C-reactive protein (CRP). Older adults with late-life insomnia showed reduced reward motivation 95% CI [-0.955, -0.569] and reduced reward sensitivity 95% CI [-0.430, -0.075] relative to comparison controls. In secondary exploratory analyses, late-life insomnia was associated with reduced motivation to a greater degree in males than in females 95% CI [0.072, 0.775], particularly when CRP was also elevated 95% CI [0.672, 1.551]. Late-life insomnia is associated with reduced motivation and sensitivity for monetary reward, which suggests insomnia may confer risk for late-life depression by dysregulation of reward mechanisms. Exploratory analyses suggest that older males with insomnia and elevated CRP may be particularly vulnerable to deficits in reward motivation. Although in need of replication and further study, results suggest that interventions that target insomnia or deficits in reward processing may mitigate the risk of depression in nondepressed older adults, especially older males with insomnia.

Motivation and Sensitivity to Monetary Reward in Late-Life Insomnia: Sex Specific Effects and Systemic Inflammation

Insomnia is a well-established risk factor for late-life depression, yet the intermediary mechanisms are not known. This study hypothesized that insomnia contributes to reward dysregulation, a common feature of depression, through alterations in peripheral inflammatory signaling. A secondary objective was to examine whether such associations differed between males and females.

Late-Life Depression: A Narrative Review on Risk Factors and Prevention.

After participating in this activity, learners should be better able to:• Identify risk factors for late-life depression• Evaluate strategies to prevent late-life depression ABSTRACT: Late-life depression (LLD) is one of the major sources of morbidity and mortality in the world. Because LLD is related to increased public health burden, excess health care costs and utilization, reduced quality of life, and increased mortality, prevention is a priority. Older adults differ from younger adults with respect to key features, such as their chronicity and lifetime burden of depression and their constellation of comorbidities and risk factors. LLD likely arises from a complex interplay of risk factors, including medical, physiologic, psychosocial, behavioral, and environmental factors. Thus, a comprehensive understanding of LLD risk factors is necessary to inform prevention strategies. In this narrative literature review, we address both the risk architecture of LLD and several potential strategies for prevention. Our description of LLD risk factors and prevention approaches is informed by the framework developed by the National Academy of Medicine (formerly, Institute of Medicine), which includes indicated, selective, and universal approaches to prevention.

Hearing Loss and Depression in the Hispanic/Latino Population

Hearing Loss and Depression in the Hispanic/Latino Population

Association of Audiometric Age-Related Hearing Loss With Depressive Symptoms Among Hispanic Individuals

Age-related hearing loss is highly prevalent and has recently been associated with numerous morbid conditions of aging. Late-life depression is also prevalent and can be resistant to available treatments. Preliminary studies examining the association between hearing loss and late-life depression have been limited by subjective hearing measures, small sample sizes, and primarily white populations. To assess whether a cross-sectional association exists between objective audiometric hearing loss and depressive symptoms in older Hispanic adults. This cross-sectional study uses 2008-2011 Hispanic Community Health Study/Study of Latinos data collected in Miami, Florida, San Diego, California, Chicago, Illinois, or the Bronx, New York, from 5328 Hispanic adults 50 years or older who had exposure, outcome, and covariate data. Data analyses were conducted from March 2018 to September 2018. Audiometric hearing loss (pure-tone average). Center for Epidemiologic Studies Depression Scale, 10-item version (CESD-10) score of 10 or higher, which indicates clinically significant depressive symptoms. The median age (interquartile range) of the 5328 participants was 58 (53-63) years, and 3283 participants (61.6%) were female. The mean (SD) CESD-10 score was 7.7 (6.4). Of the 5328 included participants, 1751 (32.9%) had clinically significant depressive symptoms. The odds of having these symptoms increased 1.44 (95% CI, 1.27-1.63) times for every 20 dB of hearing loss, adjusting for hearing aid use, age, sex, educational level, study site, geographic background, cardiovascular disease, and antidepressant use. Compared with those for individuals with normal hearing (0 dB), the odds of having clinically significant depressive symptoms was 1.81 (95% CI, 1.48-2.22) times as high in individuals with mild hearing loss (median threshold, 32.5 dB), 2.38 (95% CI, 1.77-3.20) times as high in individuals with moderate hearing loss (median threshold, 47.5 dB), and 4.30 (95% CI, 2.61-7.09) times as high in individuals with severe hearing loss (median threshold, 80 dB). Objective hearing loss appears to be associated with clinically significant depressive symptoms in older Hispanic people, with greater hearing loss seemingly associated with greater odds of having depressive symptoms. Given the high prevalence of untreated hearing loss in older adults, hearing loss may be a potentially modifiable risk factor for late-life depression.

Longitudinal Association Between Orthostatic Hypotension at 30 Seconds Post-Standing and Late-Life Depression.

There is an established cross-sectional association between orthostatic hypotension (OH) and late-life depression. The aim of this observational study was to clarify the longitudinal association between baseline symptomatic OH (sOH-30) and incident depression in a sample of >3000 older people without baseline depression (mean age: 62 years at baseline). This study was embedded within the Irish Longitudinal Study on Ageing using data from waves 1 to 3, collected between 2009 and 2014. At 2- and 4-year follow-up, a score ≥9 on the 8-item Center for Epidemiological Studies Depression Scale was used to define incident depression. sOH-30 was defined as a drop in systolic blood pressure ≥20 mm Hg or diastolic blood pressure ≥10 mm Hg at 30 seconds post-standing in conjunction with orthostatic symptoms, such as dizziness, using beat-to-beat measurements. Almost one fifth (proportion, 18%; 95% confidence interval [CI], 16-20) of the study sample had sOH-30. One tenth (proportion, 10%; 95% CI, 9-12) had incident depression. Participants with incident depression were twice as likely to have sOH-30 at baseline compared with those without incident depression (linear regression, 13% [95% CI, 8-19] versus 7% [95% CI, 6-8]). Weighted logistic regression models demonstrated that sOH-30 predicted incident depression with an odds ratio of 1.90 (95% CI, 1.15-3.15) after controlling for covariates, including subthreshold depression, hypotension, cognitive impairment, and antidepressant use. Asymptomatic OH at 30 seconds and initial OH did not predict depression. This study demonstrates that sOH-30 predicts incident depression in a population-representative sample of older people and may, therefore, represent a potentially modifiable risk factor for late-life depression.

Associations Between Vitamin D Levels and Depressive Symptoms in Later Life: Evidence From the English Longitudinal Study of Ageing (ELSA).

BackgroundA possible role of vitamin D in depression has received considerable attention, especially given the significant disability, mortality, and healthcare costs associated to depression and the high prevalence of vitamin D deficiency.MethodsWe investigated the cross-sectional associations between serum 25-hydroxyvitamin D (25OHD) levels and depressive symptoms (CES-D) in 5,607 older adults from the English Longitudinal Study of Ageing (ELSA).ResultsOverall, there was a significant association between low 25OHD levels and elevated depressive symptoms (odds ratio [OR] = 1.58, 95% confidence interval [CI] = 1.20–2.07 for the lowest quartile; OR = 1.45, 95% CI = 1.15–1.83 for <30 nmol/L cut-off and OR = 1.34, 95% CI = 1.10–1.62 for the ≤50 nmol/L cut-off) after adjustment for a wide range of covariates of clinical significance. Fully adjusted models showed that women in the lowest (OR = 1.67, 95% CI = 1.20–2.34) and second lowest (OR = 1.68, 95% CI = 1.20–2.35) quartiles of 25OHD as well as those with 25OHD levels <30 nmol/L (OR = 1.40, 95% CI = 1.06–1.86) and ≤50 nmol/L (OR = 1.35, 95% CI = 1.07–1.72) were more likely to report elevated depressive symptoms. For men, however, this association only remained significant for those with 25OHD levels of <30 nmol/L (OR = 1.60, 95% CI = 1.06–2.42) in the fully adjusted models.ConclusionsThe independent and inverse association found between low 25OHD levels and elevated depressive symptoms suggests that vitamin D deficiency may be a risk factor for late-life depression, particularly among women. Whether our findings have any clinical meaning or not, additional data are needed from well-designed randomized controlled trials of vitamin D for the prevention and treatment of late-life depression.

Prevalence of and risk factors for minor and major depression among community-dwelling older adults in Taiwan.

This study was conducted to estimate prevalence rates and risk factors for late-life depression in a large nationwide representative sample from Taiwan. A total of 5,664, randomly sampled individuals aged ≥55 years were enrolled. Clinically, relevant depressive symptoms were classified using the Center for Epidemiological Studies Depression Scale (CES-D score ≥16), and major depression was confirmed using the Primary Care Evaluation of Mental Disorders. Individuals with clinically relevant depressive symptoms, who did not meet the strict diagnostic criteria for major depression, were considered to have minor depression. Multinomial logistic regression analyses were conducted to identify risk factors for major and minor depression, including socio-demographic characteristics, medical conditions, lifestyle behaviors, social support network, and life events. The prevalence rates of minor and major depression were 3.7% and 1.5%, respectively. Major depression was associated with personal vulnerability factors, such as poor social support, cognitive impairment, comorbid pain conditions, and sleep disturbance. However, minor depression was more likely to be related to adverse life events, including increased burden on families, changes in health status, or relationship problem. Approximately, 20.0% of individuals with major depression received antidepressant treatment. Late-life depression was less prevalent among community-dwelling older adults in Taiwan than among populations in other countries. Our findings may aid the early detection and treatment of late-life depression and provide a basis for future investigations.

Risk factors for late-life depression and correlates of antidepressant use in Costa Rica: Results from a nationally-representative longitudinal survey of older adults

BackgroundRisk factors for late-life depression have been studied in high-income countries, but there have been no longitudinal studies from middle-income countries. This study reports risk factors for late-life depression and correlates of antidepressant using the Costa Rican Longevity and Healthy Aging Study (CRELES), a nationally representative cohort of adults age 60 and over. MethodsCRELES contains baseline interviews in 2005 (n=2827) with follow-up interviews in 2007 and 2009. CRELES used the Geriatric Depression Scale Short Form to identify depression using cut-offs for mild and severe depression and contained a 14-question assessment to determine physical disability. Participants self-reported antidepressant use and chronic health conditions. We examined correlates of newly screened depression and new antidepressant use among participants not depressed or not using antidepressants in the previous study wave. We used generalized estimating equations to estimate the association among variables. ResultsIncreases in disability were associated with newly screening for mild and severe depression. New medical conditions and recent widowhood were associated with newly screening for severe depression. Recent widowhood was also associated with new use of antidepressant medication. LimitationsLimitations of this study include absence of persons living in institutions, inconsistency of screening tools with clinical diagnoses, and possible effects of stigma and recall bias on screening. ConclusionsRisk factors for late-life depression in Costa Rica are similar to risk factors in high-income countries. Patterns of antidepressant use suggest providers may recognize the role of bereavement as a risk factor for late-life depression but not of disability or chronic conditions.

Risk factors for late-life depression: A prospective cohort study among older women

Depression prevention requires identifying key risk contributors. Prior studies have identified several factors related to late-life depression but have seldom addressed factors jointly or in dose-response fashion. This study aimed to examine a wide range of potential predisposing factors and to estimate individual and joint contributions to risk of late-life depression in women. A total of 21,728 women aged ≥65years, without prior depression, in the Nurses' Health Study conducted in the United States were followed from 2000 to 2010. Demographic, social, lifestyle/behavioral and health variables were selected a priori from the literature or previous findings in this cohort. Depression was defined as physician/clinician-diagnosed depression, regular antidepressant use, or the presence of severe depressive symptoms. During 10-year follow-up, 3945 incident cases were identified. After simultaneous multivariable-adjustment, multiple factors in the domains of social stress (lower self-rated societal position and high volume of caregiving to disabled/ill relatives), unfavorable lifestyle (smoking, physical inactivity, heavy or binge drinking), and poor physical health (multiple comorbidity burden, excessive sleep, difficulty falling/staying asleep, bodily pain, and physical/functional limitation or disability) were significantly associated with higher depression risk; many featured dose-response relationships. Sensitivity analyses that excluded outcomes within 2years yielded similar estimates. The total population attributable fraction for all factors was 55.5%. Physical/functional limitation accounted for one-quarter of population attributable fraction, followed by problematic sleep, inadequate exercise, and pain (combining for one-third of population attributable fraction). Efforts to remediate or prevent these factors may contribute to an efficient strategy for late-life depression prevention in women.

Shared Genetic Risk Factors for Late-Life Depression and Alzheimer's Disease.

Considerable evidence has been reported for the comorbidity between late-life depression (LLD) and Alzheimer's disease (AD), both of which are very common in the general elderly population and represent a large burden on the health of the elderly. The pathophysiological mechanisms underlying the link between LLD and AD are poorly understood. Because both LLD and AD can be heritable and are influenced by multiple risk genes, shared genetic risk factors between LLD and AD may exist. The objective is to review the existing evidence for genetic risk factors that are common to LLD and AD and to outline the biological substrates proposed to mediate this association. A literature review was performed. Genetic polymorphisms of brain-derived neurotrophic factor, apolipoprotein E, interleukin 1-beta, and methylenetetrahydrofolate reductase have been demonstrated to confer increased risk to both LLD and AD by studies examining either LLD or AD patients. These results contribute to the understanding of pathophysiological mechanisms that are common to both of these disorders, including deficits in nerve growth factors, inflammatory changes, and dysregulation mechanisms involving lipoprotein and folate. Other conflicting results have also been reviewed, and few studies have investigated the effects of the described polymorphisms on both LLD and AD. The findings suggest that common genetic pathways may underlie LLD and AD comorbidity. Studies to evaluate the genetic relationship between LLD and AD may provide insights into the molecular mechanisms that trigger disease progression as the population ages.

Interpretive bias of ambiguous facial expressions in older adults with depressive symptoms.

Cognitive theories of emotional disorders indicate that biases in cognitive processes, such as attention, memory, and interpretation, are common factors that indicate vulnerability to these disorders, although their form varies according to the type of disorder. However, most of the studies have focused on adolescence and adulthood. It is still uncertain whether cognitive biases are risk factors for late-life depression. The present study sought to explore the role of interpretive bias in older adults with depressive symptoms and whether this effect is independent of basic cognitive abilities. Therefore, 18 older adults with depressive symptoms and 21 healthy controls were compared with an ambiguous facial expression identification task, a Mini Mental Status Examination, a Trail Making Test A and B, and a Word Fluency Test. Findings revealed that the depressive group was more likely to identify more ambiguous happy-sad facial expressions as indicative of sadness than were the healthy controls, but the two groups showed no significant differences in the cognitive test scores. These results suggest that interpretive bias indicates vulnerability to late-life depression, but basic cognitive abilities may have no influence in this context.

Longitudinal associations between BDNF promoter methylation and late-life depression

Reduced brain-derived neurotrophic factor (BDNF) function has been suggested as a risk factor for late-life depression. BDNF secretion is influenced by epigenetic (DNA promoter methylation) and genetic (val66met polymorphism) profiles. We investigated the independent and interactive effects of BDNF methylation and val66met polymorphism on late-life depression. In total, 732 Korean community residents aged ≥65 years were evaluated, and 521 of them without depression at baseline were followed up 2 years later. Depression was determined using the Geriatric Mental State Schedule, and depression severity was evaluated with the Geriatric Depression Scale. Demographic and clinical covariates were obtained. The effects of BDNF methylation and polymorphism on the diagnosis of depression were investigated using a multivariate logistic regression model, and the relationships between BDNF methylation and depression severity were evaluated using partial correlation tests. Higher BDNF methylation was independently associated with the prevalence and incidence of depression and severe depressive symptoms. No significant methylation-genotype interactions were found. BDNF promoter methylation could be a proxy biomarker for depression late in life.

P.2.b.004 Longitudinal associations between BDNF promoter methylation and late-life depression

Introduction: Late-life depression is associated with an elevated risk of suicide as well as functional and cognitive impairments, which confer a risk of dementia [1]. Considering these negative consequences of geriatric depression, understanding the etiology of depression is an important step toward early detection and effective treatment of depression in the elderly population. Reduced brain-derived neurotrophic factor (BDNF) function has been suggested as a risk factor for late-life depression. BDNF secretion is influenced by epigenetic (DNA promoter methylation) [2] and genetic (val66met polymorphism) profiles [3]. We investigated the independent and interactive effects of BDNF methylation and val66met polymorphism on late-life depression. Methods: In total, 732 Korean community residents aged 65 years were evaluated, and 521 of them without depression at baseline were followed up 2 years later. The prevalence and incidence of depression were determined using the Geriatric Mental State Schedule, and depression severity was evaluated with the Geriatric Depression Scale. Covariates included age, sex, education, chronic physical disorders, cognitive function, and disability. The effects of BDNF methylation and polymorphism on the diagnosis of depression were investigated using a multivariate logistic regression model, and the relationships between BDNF methylation and depression severity were evaluated using partial correlation tests. Results: Of the 631 participants without depression at baseline, 521 (82.6%) were followed up. Depression was identified 2 years later in 86 (16.5%) of the 521 participants who were followed up. After applying Bonferroni correction, the prevalence of depression at baseline was significantly associated with higher BDNF promoter methylation at CpG site 9 and a higher average methylation percentage. Furthermore, the incidence of depression at the 2-year follow up was significantly associated with higher BDNF promoter methylation at CpG site 9 and a higher average methylation percentage. The results of multivariate logistic regression analysis after adjustment for covariates were that the prevalence and incidence of depression were independently associated with a higher methylation percentage at CpG site 9 and a higher average methylation percentage after applying Bonferroni correction. Partial correlations of BDNF methylation percentages with the GDS scores were summarized as follows. After applying Bonferroni correction, higher baseline GDS scores were significantly correlated with a higher methylation percentage at CpG site 9 and higher average methylation percentage after adjustment for sex, number of chronic medical illnesses, cognitive function, and disability. Additionally, higher GDS scores at follow-up were significantly correlated with a higher average methylation percentage in the same adjusted model. However, there were no significant associations between BDNF promoter methylation percentages and genotype. Furthermore, there were no significant interactive effects of BDNF methylation percentages and genotype on the prevalence or incidence of depression in the multivariate logistic regression model. Conclusions: Higher BDNF methylation was independently associated with prevalence and incidence of depression as well as severe depressive symptoms. No significant methylation-genotype interactions were found. BDNF promoter methylation could be a proxy biomarker for depression late in life.

Aging Without Depression: A Cross-Sectional Study

The aim of the study was to analyze the association between secure attachment style, loneliness, and social network as risk factors for late-life depression. This cross-sectional study examined 969 subjects of the KORA-Age study. We applied the Relationship-Specific Attachment Scales for Adults (Beziehungsspezifische Bindungsskalen für Erwachsene, BBE), the UCLA Loneliness Scale, and the Social Network Index (SNI). Depression was operationalized through the Geriatric Depression Scale (GDS-15) and/or use of antidepressants. Logistic-regression models were calculated, sex-stratified, and controlled for age and living status. For men, lower depression scores were associated with higher attachment security scores (OR = 0.26, 95% CI = 0.15-0.44) and not reporting feelings of loneliness (OR = 0.27, 95% CI = 0.14-0.53). For women, independent determinants of not having late life depression consist of not feeling lonely (OR = 0.22, 95% CI = 0.13-0.38). Loneliness is a risk factor for late life depression in women and men, attachment style is a risk factor more for men, while social network size is not a risk factor.