Depression trajectories and obesity among the elderly in Taiwan

Trajectories of depressive symptom and its association with air pollution: evidence from the Mr. OS and Ms. OS Hong Kong cohort study

BACKGROUND

Depression is a global health priority. Maintaining and delaying depressive symptoms in older adults is a key to healthy aging. This study aimed to identify depressive symptom trajectories, predictors and mortality, while also exploring the relationship between air quality and depressive symptoms in older adults in the Hong Kong community over 14 years.

METHODS

This study is a longitudinal study in Hong Kong. The target population was community-dwelling older adults over age 65. Depressive symptoms were measured by the Geriatric Depression Scale (GDS-15). Group-based trajectory model was used to identify heterogeneity in longitudinal changes over 14 years and examine the associations between baseline variables and trajectories for different cohort members using multinomial logistic regression. The Kaplan-Meier method was employed to conduct survival analysis and explore the variations in survival probabilities over time among different trajectory group. Linear mixed model was used to explore the relationship between air quality and depressive symptoms.

RESULTS

A total of 2828 older adults were included. Three different trajectories of depressive symptoms in older people were identified: relatively stable (15.4%), late increase (67.1%) and increase (17.5%). Female, more number of chronic diseases, poor cognitive function, and poor health-related quality of life (HRQOL) were significantly associated with other less favorable trajectories compared with participants with stable levels of depressive symptoms. The late increase group had a lower mortality rate than the relatively stable and increased groups. Lower baseline ambient air pollutant exposure to NO2 over 14 years was significantly associated with fewer depressive symptoms.

CONCLUSIONS

In this study, we found that a late increase in depressive symptoms was the predominant trend in older Chinese people in Hong Kong. Poorer HRQOL was predictive of less favorable trajectories of depressive symptoms. Ambient air pollution was associated with depressive symptoms. This novel observation strengthens the epidemiological evidence of longitudinal changes in depressive symptoms and associations with late-life exposure to air pollution.

Association of Body Mass Index and Cardiometabolic Factors With Elderly Suicide: A Cohort Study of 101,518 Older Taiwanese

BACKGROUND

Older people have the highest suicide rate across age groups in most countries. The prevalence of cardiometabolic risk factors also increases with age. We investigated the association between body mass index (BMI), cardiometabolic risk factors, and suicide in a large cohort of older people in Taiwan.

METHODS

We conducted a cohort study using data from an elderly health examination program in Taipei City, Taiwan (2005-2010), linked to the national cause-of-death data files. We used competing risk Cox regression models to investigate the associations of BMI (kg/m2) and cardiometabolic factors with suicide after adjusting for sex, age, socioeconomic variables, chronic diseases, psychological distress, and cognitive function.

RESULTS

Among 101,518 individuals aged ≥ 65 years, 92 died by suicide during an average follow-up of 3.9 years. Underweight (BMI<18.5) was associated with increased suicide risk (adjusted hazard ratio [aHR]=2.33, 95% confidence interval [CI] 1.20-4.52) (reference: normal weight). Low diastolic blood pressure was associated with increased suicide risk - aHR was 0.51 (95% CI 0.29-0.91) and 0.55 (95% CI 0.31-0.99) for the third and fourth quartiles of diastolic blood pressure (reference: the lowest quartile), respectively. Older people with a higher waist circumference (aHR per 1-standard-deviation increase=0.60 [95% CI 0.37-0.98]) and a higher number of metabolic syndrome criteria (aHR per 1-criterion increase=0.65 [95% 0.46-0.92]) had lower suicide risk. Systolic blood pressure, pulse rate, fasting blood glucose, and lipid profiles were not associated with suicide risk.

CONCLUSIONS

Underweight, low diastolic blood pressure, and low waist circumference may be markers of increased suicide risk in older people.

Trajectories of depressive symptoms and their predictors in Chinese older population: Growth Mixture model

BACKGROUND

Given the rapidly rising proportion of the older population in China and the relatively high prevalence of depressive symptoms among this population, this study aimed to identify the trajectories of depressive symptoms and the factors associated with the trajectory class to gain a better understanding of the long-term course of depressive symptoms in this population.

METHODS

Data were obtained from four wave's survey of the China Health and Retirement Longitudinal Study (CHARLS). A total of 3646 participants who aged 60 years or older during baseline survey, and completed all follow-ups were retained in this study. Depressive symptoms were measured using the 10-item version of the Center for Epidemiologic Studies Depression Scale (CES-D-10). Growth mixture modelling (GMM) was adopted to identify the trajectory classes of depressive symptoms, and both linear and quadratic functions were considered. A multivariate logistic regression model was used to calculate the adjusted odds ratios (ORs) of the associated factors to predict the trajectory class of participants.

RESULTS

A four-class quadratic function model was the best-fitting model for the trajectories of depressive symptoms in the older Chinese population. The four trajectories were labelled as increasing (16.70%), decreasing (12.31%), high and stable (7.30%), and low and stable (63.69%), according to their trends. Except for the low and stable trajectory, the other trajectories were almost above the threshold for depressive symptoms. The multivariate logistic regression model suggested that the trajectories of chronic depressive symptoms could be predicted by being female, living in a village (rural area), having a lower educational level, and having chronic diseases.

CONCLUSIONS

This study identified four depressive symptom trajectories in the older Chinese population and analysed the factors associated with the trajectory class. These findings can provide references for prevention and intervention to reduce the chronic course of depressive symptoms in the older Chinese population.

10-Year trajectories of depressive symptoms and subsequent brain health in middle-aged adults

Depressive symptoms differ in severity and stability over time. Trajectories depicting these changes, particularly those with high late-life depressive symptoms, have been associated with poor brain health at old age. To better understand these associations across the lifespan, we examined depressive symptoms trajectories in relation to brain health in middle age. We included 1676 participants from the ORACLE Study, all were expecting a child at baseline (mean age 32.8, 66.6% women). Depressive symptoms were assessed at baseline, 3 years and 10 years after baseline. Brain health (global brain volume, subcortical structures volume, white matter lesions, cerebral microbleeds, cortical thickness, cortical surface area) was assessed 15 years after baseline. Using k-means clustering, four depressive symptoms trajectories were identified: low, low increasing, decreasing, and high increasing symptoms. The high increasing trajectory was associated with smaller brain volume compared to low symptoms, not surviving multiple testing correction. The low increasing trajectory was associated with more cortical thickness in a small region encompassing the right lateral occipital cortex compared to low symptoms. These findings show that longitudinal depressive symptoms trajectories are only minimally associated with brain health in middle age, suggesting that associations may only emerge later in life.

Prediction of depressive symptoms onset and long-term trajectories in home-based older adults using machine learning techniques

OBJECTIVES

Our aim was to explore the possibility of using machine learning (ML) in predicting the onset and trajectories of depressive symptom in home-based older adults over a 7-year period.

METHODS

Depressive symptom data (collected in the year 2011, 2013, 2015 and 2018) of home-based older Chinese (n = 2650) recruited in the China Health and Retirement Longitudinal Study (CHARLS) were included in the current analysis. The latent class growth modeling (LCGM) and growth mixture modeling (GMM) were used to classify different trajectory classes. Based on the identified trajectory patterns, three ML classification algorithms (i.e. gradient boosting decision tree, support vector machine and random forest) were evaluated with a 10-fold cross-validation procedure and a metric of the area under the receiver operating characteristic curve (AUC).

RESULTS

Four trajectories were identified for the depressive symptoms: no symptoms (63.9%), depressive symptoms onset {incident increasing symptoms [new-onset increasing (16.8%)], chronic symptoms [slowly decreasing (12.5%), persistent high (6.8%)]}. Among the analyzed baseline variables, the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) score, cognition, sleep time, self-reported memory were the top five important predictors across all trajectories. The mean AUCs of the three predictive models had a range from 0.661 to 0.892.

CONCLUSIONS

ML techniques can be robust in predicting depressive symptom onset and trajectories over a 7-year period with easily accessible sociodemographic and health information.

Supplemental data for this article is available online at http://dx.doi.org/10.1080/13607863.2022.2031868.

A hybrid machine learning model of depression estimation in home-based older adults: a 7-year follow-up study

BACKGROUND

Our aim was to explore whether a two-step hybrid machine learning model has the potential to discover the onset of depression in home-based older adults.

METHODS

Depression data (collected in the year 2011, 2013, 2015 and 2018) of home-based older Chinese (n = 2,548) recruited in the China Health and Retirement Longitudinal Study were included in the current analysis. The long short-term memory network (LSTM) was applied to identify the risk factors of participants in 2015 utilizing the first 2 waves of data. Based on the identified predictors, three ML classification algorithms (i.e., gradient boosting decision tree, support vector machine and random forest) were evaluated with a 10-fold cross-validation procedure and a metric of the area under the receiver operating characteristic curve (AUROC) to estimate the depressive outcome.

RESULTS

Time-varying predictors of the depression were successfully identified by LSTM (mean squared error =0.8). The mean AUCs of the three predictive models had a range from 0.703 to 0.749. Among the prediction variables, self-reported health status, cognition, sleep time, self-reported memory and ADL (activities of daily living) disorder were the top five important variables.

CONCLUSIONS

A two-step hybrid model based on "LSTM+ML" framework can be robust in predicting depression over a 5-year period with easily accessible sociodemographic and health information.

Immune-endocrine biomarkers associated with mental health: A 9-year longitudinal investigation from the Hertfordshire Ageing Study

BACKGROUND

The study of neural-endocrine-immune system interactions has led to substantial advances in our understanding of neuropsychiatric disorders. Growing evidence reveals the pivotal roles of inflammatory cytokines signalling the brain to produce neurochemical, neuroendocrine, and neuroimmune changes which affect mood and behaviour. Ageing is accompanied by the development of low-grade systemic inflammation which may promote changes in the neural systems predisposing to geriatric depression via the hypothalamic-pituitary-adrenal (HPA) axis. The aim of this study was to investigate the longitudinal associations between baseline values and conditional changes (independent of baseline) in immune-endocrine biomarkers and mental health status in a population-based cohort of older adults.

METHODS

Data from 347 subjects (200 men, 147 women) who participated in the Hertfordshire Ageing Study at baseline (1994/5, mean age 67.3 years) and at 9-year follow-up were analysed. Serum samples for analysis of inflammatory and endocrinological measures were collected at baseline and follow-up. At follow-up, depression (Hospital Anxiety and Depression Scale) and mental health (Short Form-36 questionnaire) were assessed. Baseline values and changes in biomarkers in relation to risk of high depression scores (top sex-specific third) and low mental health scores (bottom sex-specific third) were examined using logistic regression.

RESULTS

Lower baseline cortisol was related to greater risk of high depression scores; higher baseline cortisol: dehydroepiandrosterone sulphate ratio (men only) and higher baseline C-reactive protein (CRP) (women only) were related to greater risk of poor mental health scores. In addition, greater decline in cortisol was related to increased risk of high depression scores among men. These relationships were robust (p < 0.05) after controlling for sex, age, BMI, smoking, alcohol consumption and number of systems medicated.

CONCLUSION

This study provides further evidence of the role of the HPA axis and inflammation in older adults with poor mental health. In addition, the findings highlight sex differences where increased inflammation in women and declines in cortisol in men were linked to poorer mental health. Further research is warranted to confirm these findings. This could lead to the search for potential biomarkers to stratify medications as well as developing novel intervention targets to improve mental health at older age.

Depression trajectories among older community dwelling adults: Results from the Irish Longitudinal Study on Ageing (TILDA)

BACKGROUND

This study investigated the role of a large range psychological, attitudinal and health related variables as predictors of depression trajectories amongst older adults over a 4-year time period.

METHODS

Data from three consecutive waves of the TILDA survey of older community dwelling adults aged 50+ in Ireland were combined for analysis. Depression symptom scores were assessed using the Center for Epidemiological Studies- Depression scale (CES-D). Changes in depression scores over three time points were modelled as distinct trajectory classes using group-based trajectory modelling, whilst simultaneously controlling for demographic, attitudinal and health related predictors of these trajectory classes using multinomial regression.

RESULTS

Four distinct depression trajectories were identified as (1) a stable low symptom level group (79%), (2) a moderate but deteriorating symptoms group (7.6%), (3) a moderate but improving group (10.1%) and (4) a vulnerable group with consistently high symptoms (3.1%). Multinomial logistic regression indicated that limiting pain, mobility impairments, perceived stress and loneliness predicted membership of the moderate and higher depressive symptom classes. Retirement status and higher reported levels of worry were associated with a greater likelihood of membership of the moderate symptom classes only.

LIMITATIONS

Use of the CES-D is open to bias due to subjective nature of respondent reporting.

CONCLUSIONS

Results concur with previous studies on the development of depression among older people and highlight the key health related and psychological variables that may inform interventions aimed at mitigating risks of developing depression among older adults.

Latent class growth modeling of depression and anxiety in older adults: an 8-year follow-up of a population-based study

BACKGROUND

Depression and anxiety are common mental health conditions in the older adult population. Understanding the trajectories of these will help implement treatments and interventions.

AIMS

This study aims to identify depression and anxiety trajectories in older adults, evaluate the interrelationship of these conditions, and recognize trajectory-predicting characteristics.

METHODS

Group-based dual trajectory modeling (GBDTM) was applied to the data of 3983 individuals, aged 65 years or older who participated in the Korean Health Panel Study between 2008 and 2015. Logistic regression was used to identify the association between characteristics and trajectory groups.

RESULTS

Four trajectory groups from GBDTM were identified within both depression and anxiety outcomes. Depression outcome fell into "low-flat (87.0%)", "low-to-middle (8.8%)", "low-to-high (1.3%)" and "high-stable (2.8%)" trajectory groups. Anxiety outcome fell into "low-flat (92.5%)", "low-to-middle (4.7%)", "high-to-low (2.2%)" and "high-curve (0.6%)" trajectory groups. Interrelationships between depression and anxiety were identified. Members of the high-stable depression group were more likely to have "high-to-low" or "high-curved" anxiety trajectories. Female sex, the presence of more than three chronic diseases, and being engaged in income-generating activity were significant predictors for depression and anxiety.

CONCLUSIONS

Dual trajectory analysis of depression and anxiety in older adults shows that when one condition is present, the probability of the other is increased. Sex, having more than three chronic diseases, and not being involved in income-generating activity might increase risks for both depression and anxiety. Health policy decision-makers may use our findings to develop strategies for preventing both depression and anxiety in older adults.

Predictors of Depressive Symptoms Based on the Human Capital Model Approach: Findings From the Indonesia Family Life Survey

Depression is the leading factor of disability and the overall global burden of diseases. The human capital model provides an appropriate conceptual model for managing human health. This study aimed to determine the association between human capital (including social, emotional, physical, financial, and intellectual capital) and depressive symptoms among productive age groups in Indonesia. A cross-sectional study was conducted by analyzing data of 9,858 respondents aged 15-59 years that were obtained from the Indonesia Family Life Survey 5 (IFLS 5). Multivariate logistic regression was used to assess the association between human capital components and depressive symptoms. Among respondents, 23.65% had higher depressive symptoms. Social trust and social networks (part of social capital) were significantly related to depressive symptoms. Self-reported satisfaction (part of emotional capital) were also related to depressive symptoms, as well as self-rated health, sleep quality, a number of chronic disease, body mass index (BMI), and physical functioning (part of physical capital). Log income (part of financial capital) and education level (part of intellectual capital) were related to depressive symptoms after controlling for other variables. Of all the components of human capital, physical capital has the most attributes associated with the risk of depressive symptoms. Therefore, depression prevention programs can be prioritized on attributes related to physical capital.

Prevalence and risk factors of overweight and obesity in Chinese patients with first-episode drug-naïve major depressive disorder

BACKGROUNDS

Obesity and overweight are common in patients with major depressive disorder (MDD); the results are inconsistent due to confounding variables involved in studies. Furthermore, no well-designed study has been published to investigate the prevalence, risk factors and underlying mechanisms of obesity/overweight in Chinese MDD patients. This study aimed to investigate the prevalence of obesity/overweight and related risk factors in first-episode, drug-naïve (FEDN) patients with MDD in China.

METHODS

A total of 1718 patients were recruited. Their clinical and anthropometric data, thyroid function and biochemical parameters were collected. All patients were evaluated on the 17-item Hamilton Rating Scale for Depression, 14-item Hamilton Anxiety Rating Scale and the Positive and Negative Syndrome Scale.

RESULTS

The prevalence of obesity and overweight was 3.73% and 56.00%, respectively. Multivariable logistic regression analysis showed that TSH was the only independent risk factor for weight gain in MDD patents. The fitting curve of the relationship between TSH and BMI formed an inverted U-shaped parabola. The ordinal logit mode showed that when TSH<=2.68 was set as a reference, the odd rates of weight increased with the increase of TSH, and the highest rate was 3.929 (95%CI: 2.879-5.361, P<0.0001).

LIMITATION

Causality cannot be drawn due to cross-sectional design.

CONCLUSION

Our results suggest that overweight is very common among patients with FEDN MDD rather than obesity. TSH is a promising predictor and potential biomarker of high weight in MDD patients, and there is an inverted U-shaped parabolic relationship between TSH and BMI.

Association of remote traumatic brain injury and military employment with late-life trajectories of depressive symptom severity

BACKGROUND

Traumatic brain injury (TBI) and military service are common lifetime exposures among current older adults that may affect late-life mental health. The objective of the present study was to evaluate the association between TBI with loss of consciousness (LOC) and military employment and late-life depressive symptom severity trajectory.

METHODS

1445 males and 2096 females adults at least 65 years old without dementia or recent TBI were enrolled and followed biennially for up to 10 years in the Adult Changes in Thought study from Kaiser Permanente Washington in Seattle, Washington.

RESULTS

Using group-based trajectory modeling, we documented four distinct depressive symptom severity trajectories that followed a similar course in males and females (Minimal, Decreasing, Increasing, and Persistent). In multinomial regression analyses, TBI with LOC in males was associated with greater likelihood of Persistent versus Minimal depressive symptom severity compared to individuals without TBI (OR = 1.51, 95% CI: 1.01, 2.27; p=0.046). Males reporting past military employment had greater likelihood of Decreasing versus Minimal depressive symptom severity compared to individuals without past military employment (OR = 1.54, 95% CI: 1.03, 2.31; p=0.035). There was no association between TBI or military employment and depression trajectories in females, and no evidence of effect modification by age or between exposures.

LIMITATIONS

Lifetime history of TBI was ascertained retrospectively and may be subject to recall bias. Also, past military employment does not presuppose combat exposure.

CONCLUSIONS

Remote TBI and past military employment are relevant to late-life trajectories of depressive symptom severity in dementia-free older males.

Heterogeneity in the trajectories of depressive symptoms among elderly adults in rural China: The role of housing characteristics

Depression among older adults in rural areas, a multiply disadvantaged group, has become a severe public health issue in China. Few studies, however, examine the role of rural living conditions as a potential risk factor for depression. This study uses panel data from CHARLS, a Chinese population-based longitudinal study, and employs growth mixture modeling to examine the association between rural housing characteristics and the heterogeneous pattern of depression trajectories among elderly adults in rural areas. The results suggest that there is heterogeneity in elderly people's depression and that stably living in multifloor and high-quality houses is associated with a higher probability of being in the stably low-depression trajectory class.

Trajectories of Depression and Their Predictors in a Population-Based Study of Korean Older Adults

The aim of this study was to determine trajectories of depression in older adults and to identify predictors of membership in the different trajectory groups. A total of 3983 individuals aged 65 or older were included. Latent class growth models were used to identify trajectory groups. Of 3983 individuals, 2269 (57%) were females, with a mean baseline age of 72.4 years (SD = 6 years). Four depression trajectories were identified across 8 years of follow-up: "low-flat" (n = 3636; 86.6%), "low-to-middle" (n = 214; 9.2%), "low-to-high" (n = 31; 1.3%), and "high-stable" (n = 102; 2.9%). Compared to the low-flat depression group, high-stable depression group members were more likely to be female, have three or more chronic diseases, and were more likely not to own a home. Our findings will assist health policy decision-makers in planning intervention programs targeting those most likely to experience persistent depression in order to improve psychological well-being in the elderly.

Temporal Transitions in Patterns of Posttraumatic Stress Disorder and Depression Among Adolescents Following the Wenchuan Earthquake

Posttramatic stress disorder (PTSD) and depression are persistent disorders with heterogeneous comorbidity. Cross-sectional design limitations have prevented previous studies from examining symptom pattern transitions, which limits the understanding on the change of mental health over time since trauma. This study examined transition patterns of PTSD and depression comorbidity and assessed the role of personality. PTSD, depression, and personality scales were used to assess 619 adolescents 1 year after the Wenchuan earthquake and then to longitudinally assess 332 adolescents 2 years post-earthquake. Data were analyzed using latent transition analysis and logistic regression. Four PTSD and depression comorbidity patterns were identified at both times: moderate comorbidity, high comorbidity, no symptoms, and depression. Patterns of PTSD and depression changed in 23.4% of adolescents: 4.4% and 7.1% transitioned from no symptoms to depression and from depression to moderate comorbidity, respectively; 7.5% transitioned from moderate comorbidity to depression. Extraversion and conscientiousness were more likely and openness was less likely to be associated with moderate comorbidity symptoms transitioned to depression symptoms. These findings indicated that patterns of PTSD and depression in adolescents are heterogeneous and show temporal change.

Psychobiological factors of resilience and depression in late life

In contrast to traditional perspectives of resilience as a stable, trait-like characteristic, resilience is now recognized as a multidimentional, dynamic capacity influenced by life-long interactions between internal and environmental resources. We review psychosocial and neurobiological factors associated with resilience to late-life depression (LLD). Recent research has identified both psychosocial characteristics associated with elevated LLD risk (e.g., insecure attachment, neuroticism) and psychosocial processes that may be useful intervention targets (e.g., self-efficacy, sense of purpose, coping behaviors, social support). Psychobiological factors include a variety of endocrine, genetic, inflammatory, metabolic, neural, and cardiovascular processes that bidirectionally interact to affect risk for LLD onset and course of illness. Several resilience-enhancing intervention modalities show promise for the prevention and treatment of LLD, including cognitive/psychological or mind-body (positive psychology; psychotherapy; heart rate variability biofeedback; meditation), movement-based (aerobic exercise; yoga; tai chi), and biological approaches (pharmacotherapy, electroconvulsive therapy). Additional research is needed to further elucidate psychosocial and biological factors that affect risk and course of LLD. In addition, research to identify psychobiological factors predicting differential treatment response to various interventions will be essential to the development of more individualized and effective approaches to the prevention and treatment of LLD.

Inflammatory markers and cortisol parameters across depressive subtypes in an older cohort

BACKGROUND

There is growing evidence that inflammatory and cortisol dysregulation are underlying pathophysiological mechanisms in the aetiology of major depressive disorder, particularly in younger adults. However, findings of biological disturbances in late-life depression have been divergent, probably due to the even greater heterogeneity of depression in older adults with aging processes influencing biological factors. Using empirically derived subtypes may enable the identification of biological disturbances underlying depression in older adults.

METHODS

Data were used from the Netherlands Study of Depression in Older Persons (NESDO) of 359 persons aged 60 years or older, with a current diagnosis of major depressive disorder (MDD). Depressive subtypes (severe atypical, severe melancholic, and moderate severe subtype) that were previously identified through latent class analysis (LCA), were examined on differences in inflammatory markers including C-reactive protein (CRP), interleukin-6 (IL-6), and neutrophil gelatinase-associated lipocalin (NGAL), as well as cortisol parameters.

RESULTS

No differences in measures for inflammation and cortisol across subtypes were observed in uncorrected or for putative confounders corrected models.

LIMITATIONS

Several subjects had missing cortisol and inflammatory data, decreasing the power. However, results did not change after imputation analysis.

DISCUSSION

In this cohort of depressed older adults, no differences in inflammation and cortisol measures between depression subtypes were observed. This is probably due to the many (patho)physiological processes that are involved in aging, thereby clouding the results.

Association Between Different Indicators of Obesity and Depression in Adults in Qingdao, China: A Cross-Sectional Study

Background: This study was designed to investigate the perceived relationship between body weight and depression risk in a Chinese population in Qingdao, China. Methods: A population-based cross-sectional survey was performed with 4,573 participants (between 35 and 74 years) from the year 2009 to 2012 in Qingdao, China. We applied the Zung self-rating depression scale to ascertain the level of depression in participants. The associations between different indicators of obesity [body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR)] and depression were assessed by logistic regression based on the Chinese criteria of obesity. Sensitivity analysis was done based on the Asian and WHO criteria of obesity. Results: The Zung scores for the 243 participants (5.2%) were over 45 and they were entitled as depression. Furthermore, multivariable logistic analyses revealed that being overweight [odds ratios (OR): 1.48, 95% confidence intervals [95% CI]: 1.08-2.03] and having abdominal obesity (WC category in Chinese criteria) (OR: 1.47, 95% CI: 1.08-2.00) were often associated with a higher risk for depression compared to normal weight subjects. Sensitivity analysis revealed that abdominal obesity (Asian criterion) (OR: 1.41, 95% CI: 1.03-1.91) was a significant risk factor for depression. Similarly, being overweight (WHO criterion) (OR: 1.39, 95% CI: 1.03-1.87) was an obvious risk factor for depression. Conclusion: Being overweight and having abdominal obesity (WC category) were found to be linked with a higher risk of depression. However, abdominal obesity (WHR category) was not associated with depression.

Relationship between obesity and depression in Korean adults: Korea National Health and Nutrition Examination Survey 2014

Previous studies on the relationship between obesity and depression have produced conflicting results. And only a limited number of studies have been conducted in Asians, and few large-scale nationwide studies have been conducted in Korean populations.We investigated the relationship between obesity and depression in Korean adults using data from a population-based sample from the 2014 Korea National Health and Nutritional Examination Survey (KNHANES) by cross-sectional study.In total, 4026 subjects (1692 men, 2334 women) aged 19 to 69 years participated in the 2014 KNHANES. Current depression was defined as a score ≥10 on the 9-item Patient Health Questionnaire. Height and weight were measured and the body mass index (BMI) was calculated. The participants were asked to complete questionnaires about socio-demographic factors and disease comorbidities, and health-related behaviors. The chi-squared test and multivariate logistic regression analyses were performed to examine the relationship between obesity and depression.Depression was diagnosed in 5.7% of the study participants (3.9% of men, 7.0% of women). According to body weight status, there was a significant difference in the prevalence of depression (underweight: 16.2%, normal weight: 5.5%, overweight: 4.3%, obese [BMI ≥30]: 6.9%). Compared with the normal weight group, the underweight group had a higher adjusted odds ratio (OR) for depression (OR = 3.27, 95% confidence interval [CI]: 1.22, 8.75 in men; OR = 2.00, 95% CI: 1.12, 3.57 in women). Overweight (OR = 0.60, 95% CI: 0.32, 1.13) and obese (OR = 0.62, 95% CI: 0.17, 2.27) men had lower ORs for depression, but this trend was not significant. Compared with normal weight women, obese women had higher adjusted ORs for depression (OR = 1.75, 95% CI: 0.79, 3.88), while overweight women had lower ORs for depression (OR = 0.90, 95% CI: 0.56, 1.45), but these trends were not significant.This study shows differences in the risk of depression depending upon body weight status. Being underweight was correlated with a high risk of developing depression in both men and women, but obesity cannot be ruled out as a risk factor for this condition.

Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth

Difficulty regulating positive mood and energy is a feature that cuts across different pediatric psychiatric disorders. Yet, little is known regarding the neural mechanisms underlying different developmental trajectories of positive mood and energy regulation in youth. Recent studies indicate that machine learning techniques can help elucidate the role of neuroimaging measures in classifying individual subjects by specific symptom trajectory. Cortical thickness measures were extracted in sixty-eight anatomical regions covering the entire brain in 115 participants from the Longitudinal Assessment of Manic Symptoms (LAMS) study and 31 healthy comparison youth (12.5 y/o;-Male/Female = 15/16;-IQ = 104;-Right/Left handedness = 24/5). Using a combination of trajectories analyses, surface reconstruction, and machine learning techniques, the present study aims to identify the extent to which measures of cortical thickness can accurately distinguish youth with higher (n = 18) from those with lower (n = 34) trajectories of manic-like behaviors in a large sample of LAMS youth (n = 115; 13.6 y/o; M/F = 68/47, IQ = 100.1, R/L = 108/7). Machine learning analyses revealed that widespread cortical thickening in portions of the left dorsolateral prefrontal cortex, right inferior and middle temporal gyrus, bilateral precuneus, and bilateral paracentral gyri and cortical thinning in portions of the right dorsolateral prefrontal cortex, left ventrolateral prefrontal cortex, and right parahippocampal gyrus accurately differentiate (Area Under Curve = 0.89;p = 0.03) youth with different (higher vs lower) trajectories of positive mood and energy dysregulation over a period up to 5years, as measured by the Parent General Behavior Inventory-10 Item Mania Scale. Our findings suggest that specific patterns of cortical thickness may reflect transdiagnostic neural mechanisms associated with different temporal trajectories of positive mood and energy dysregulation in youth. This approach has potential to identify patterns of neural markers of future clinical course.

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

BACKGROUND

This study was conducted to estimate prevalence rates and risk factors for late-life depression in a large nationwide representative sample from Taiwan.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Socioeconomic Disparity in Later-Year Group Trajectories of Depressive Symptoms: Role of Health and Social Engagement Change

This study explored heterogeneous change patterns of South Korean older adults' depressive symptoms by poverty status, focusing on health status and social engagement changes. We used data from four waves (2006-2012) of the Korean Longitudinal Study of Aging (KLoSA). Our sample contained 2461 poor and 1668 non-poor individuals. All were 65 years old or older at baseline. We used latent class growth analysis to identify trajectory groups' depressive symptoms. Multinomial logistic regression was used to examine how a range of changes in health conditions and social engagement was associated with trajectories among poor and non-poor participants. Among the poor, five heterogeneous trajectories with clear patterns were identified: high-to-moderate, stable-high, slightly-increasing, steeply-increasing, and stable-low. Among non-poor, high-to-moderate, steeply-increasing, and stable-low groups were found. A decrease in health conditions was the most vulnerable subgroup's (steeply-increasing) primary risk factor. Poor older adults who reduced participation in, or decreased contact with, social networks were likely to belong to the steeply-increasing group. Our study provides impetus for organizational and/or environmental support systems to facilitate social engagement among poor older adults. Future research should examine whether the significance of social engagement among poor elders applies in less-developed and developed countries.

Heterogeneous Trajectories of Depressive Symptoms in Late Middle Age: Critical Period, Accumulation, and Social Mobility Life Course Perspectives

OBJECTIVE

This study investigated patterns of depressive symptoms and whether socioeconomic status (SES) across the life course affects these trajectories using the critical period, accumulation, and social mobility models.

METHOD

This study uses data from 8,532 adults, age 51 to 64, collected over 12 years from the Health and Retirement Study (observations = 25,887). A latent class analysis was performed to examine distinct depressive symptom trajectories; life course models were studied with multinomial logistic regression.

RESULTS

Four heterogeneous latent classes were identified for depression: Declining, Low, Increasing, and High and Increasing. The High and Increasing group was associated with a disadvantaged childhood SES, accumulated exposure to socioeconomic risks, and persistent SES disadvantage supporting the three life course models.

DISCUSSION

There was evidence of distinct profiles of depressive symptoms in late middle age and of interrelated life course mechanisms underlying the influences of childhood SES on later life depression.

Demographics and Health Profiles of Depressive Symptoms in Korean Older Adults

This study examined the demographics and health characteristics of depressive symptoms of Korean older adults. Data were from the 2014 survey of the Korean Longitudinal Study of Aging (KLoSA). Hierarchical logistic regression was conducted to identify risk factors of depressive symptoms. Model 2 including socio-demographics and health characteristics explained 19.2% of depressive symptoms. Significant risk factors of depressive symptoms were men, age of 53-60 years, mid-sized city and rural area residents, less than high-school education, adults without spouse, 1st (lowest) quintile of annual household income, body shape as underweight, ex-smokers, non-drinkers, no regular exercise, perceived health status as poor, limited activities of daily living, and the number of comorbidities. Interventions to reduce depressive symptoms in these populations should include strategies to change some of these modifiable risk factors.

Determining the Prevalence of and Risk Factors for Depressive Symptoms among Adults in Nepal

Context

Nepal is currently experiencing a rapid growth in non-communicable diseases (NCDs). Depression has previously been associated with NCDs in South Asia; however, data regarding its prevalence and risk factors is lacking in Nepal.

Aims

This study aims to describe the prevalence of and risk factors for depressive symptoms in a suburban population of adults within Nepal.

Setting and Design

We conducted a cross-sectional analysis of baseline data collected from participants enrolled in the Dhulikhel Heart Study (DHS), a population-based, longitudinal cohort study investigating cardiovascular risk factors in Dhulikhel, a suburban town outside Kathmandu.

Subjects and Methods

Baseline questionnaire data from 1,073 adults age 18 years and older included the Center for Epidemiologic Studies Depression Scale (CESD). A score of 16 or greater on the CESD has been shown to indicate major depressive symptomatology.

Statistical Analysis

Using STATA 13 we conducted Pearson's chi-squared tests and multiple logistic regressions to examine associations between the binary CESD score and gender, age, education, marital status, body mass index (BMI), physical activity, and hypertensive status.

Results

The mean CESD score in the sample was 11.7 (SD: 5.3), with 21.3% scoring 16 or greater. Age over 60 and lack of formal education were associated with increased risk of depressive symptoms. Being physically active was associated with decreased risk of depressive symptoms.

Conclusions

The estimated prevalence of depression among adults in Dhulikhel was 21.3%. Significant risk factors for increased depressive symptoms included lack of formal education, age over 60, and physical inactivity.

Relationship between body mass index and depressive symptoms: the "fat and jolly" hypothesis for the middle-aged and elderly in China

Background

Obesity has been identified as a worldwide epidemic. In China, the highest prevalence of obesity is observed in adults aged ≥45 years old. This study aimed to describe the association between BMI and depressive symptoms among a large representative sample of middle-aged and elderly in China.

Method

A longitudinal sample of the middle-aged and elderly (6,224 males and 6,883 females) who were interviewed in the 2011 China Health and Retirement Longitudinal Study was used. A multivariate logistic regression analysis was used to examine the effects of socio-demographic characteristics, lifestyle, activity status, health status, physical exercise and body weight on depressive symptoms.

Results

Approximately 6.94% of the males were underweight, 25.48% were overweight and 8.16% were obese. A higher prevalence of obesity was found among women, with 6.89% being underweight, 31.98% overweight and 14.28% obese. The underweight subjects were more likely to be depressed (odds ratio; OR = 1.30 and 1.19) compared with the normal weight people, respectively, whereas overweight and obese men and women were less likely to be depressed (overweight: OR = 0.76 and 0.80; obesity: OR = 0.64 and 0.65, respectively) than people of normal weight.

Conclusion

Our data are consistent with the “fat and jolly” hypothesis being valid in both middle-aged and elderly men and women.

Racial Variation in Depression Risk Factors and Symptom Trajectories among Older Women

OBJECTIVE

To assess racial variation in depression risk factors and symptom trajectories among older women.

METHODS

Using Nurses' Health Study data, participants (29,483 non-Hispanic white and 288 black women) aged 60 years or older, free of depression in 2000, were followed until 2012. Data on race and risk factors, selected a priori, were obtained from biennial questionnaires. Incident depression was defined as depression diagnosis, antidepressant use, or presence of severe depressive symptoms. Group-based trajectories of depressive symptoms were determined using latent variable modeling approaches.

RESULTS

Black participants had lower risk (hazard ratio: 0.76; 95% confidence interval: 0.57-0.99) of incident late-life depression compared with whites. Although blacks had higher prevalence than whites of some risk factors at study baseline, distributions of major contributors to late-life depression risk (low exercise, sleep difficulty, physical/functional limitation, pain) were comparable. There was evidence of effect modification by race for relations of region of birth (Southern birthplace), smoking, and medical comorbidity to depression risk; however, wide confidence intervals occurred among blacks because of smaller sample size. Four trajectories were identified: minimal symptoms-stable (58.3%), mild symptoms-worsening (31.4%), subthreshold symptoms-worsening (4.8%), and subthreshold symptoms-improving (5.5%). Probabilities of trajectory types were similar for blacks and whites.

CONCLUSION

Although overall trajectories of late-life depressive symptoms were comparable by race, there was racial variation in depression risk estimates associated with less-studied factors, such as U.S. region of birth. Future work may address unmeasured health and resilience determinants that may underlie observed findings and that could inform clinical assessment of late-life depression risk factors.

The role of obesity measures in the development and persistence of major depressive disorder

BACKGROUND

The role of obesity with the development of major depressive disorder (MDD) requires conformation and whether obesity contributes to more chronic depression in persons with established (MDD) is unknown. This study examined the longitudinal relationship of body mass index (BMI) and waist circumference with the incidence and persistence of MDD over 2-year and 6-year periods.

METHOD

Data were sourced from the Netherlands Study of Depression and Anxiety. MDD was established with Composite International Diagnostic Interviews. The relationship of BMI and waist circumference with the development of depression two and six years later were estimated in the subsample with no current psychopathology at baseline. Associations with the persistence of depression was estimated in the subsample with current MDD.

RESULTS

Higher BMI at baseline, but not waist circumference, slightly increased the odds of the development of MDD after two years (odds ratio (OR) per standard deviation increase: 1.11; p=0.03), This relationship was not significant after adjustment for health and lifestyle variables. Conversely, over a 6-year period both BMI and waist circumference moderately increased the odds of developing MDD even after adjustment (OR:1.17; p=0.05, OR:1.20; p=0.05). Persistence of MDD in currently depressed subjects, is not related with BMI or waist circumference (adjusted OR:0.93; p=0.2, OR:0.91; p=0.15).

LIMITATIONS

Development of depression may differ in participants lost to follow-up.

CONCLUSION

Over a 6 year period, patients with higher BMI show a slightly increased risk of development of depression. However, in depressed patients there is no relationship between BMI and the persistence of depression.

Heterogeneity in 10-Year Course Trajectories of Moderate to Severe Major Depressive Disorder: A Danish National Register-Based Study

IMPORTANCE

Evidence suggests that long-term trajectories of major depressive disorder (MDD) are heterogeneous. The Danish Psychiatric Central Research Register (DPCRR) provides a rare opportunity to examine patterns and correlates of long-term trajectories in a large sample of patients with moderate to severe MDD.

OBJECTIVE

To characterize patterns and correlates of 10-year course trajectories of MDD in the DPCRR.

DESIGN, SETTING, AND PARTICIPANTS

A cohort containing 11 640 individuals born in Denmark in 1955 or later with their first recorded MDD diagnosis in the DPCRR between 1995 and 2002 was established. Patients were followed for 10 years from the date of their initial MDD diagnosis. Data were obtained from Danish civil and psychiatric national registers in June 2013 and were analyzed from April 4, 2014, to December 17, 2015. Correlates of trajectory class membership were sex, characteristics of the first recorded MDD episode (ie, age, severity, inpatient treatment, and record of suicide attempt or self-harm), and psychiatric diagnoses in parents (ie, depression, bipolar disorder, schizophrenia-spectrum disorders, substance abuse, and anxiety or somatoform disorders).

MAIN OUTCOMES AND MEASURES

The outcome variable was past-year contact at a psychiatric hospital with a main diagnosis of MDD during each of the 10 years following the initial MDD diagnosis. Trajectories were modeled using latent class growth analysis.

RESULTS

The sample included 11 640 individuals (7493 [64.4%] women) aged 18 to 48 years (mean [SD], 31.4 [7.3]) at their first recorded MDD diagnosis. Four trajectory classes were identified: brief contact (77.0%) (characterized by low probability of contact after 2 years); prolonged initial contact (12.8%) (characterized by high decreasing probability of contact during the first 5 years); later reentry (7.1%) (characterized by moderate probability of contact during the second 5 years); and persistent contact (3.1%) (characterized by high or moderate probability of contact throughout). Female sex (odds ratio [OR] range, 1.82-2.22), inpatient treatment (OR range, 1.40-1.50), and severity at first recorded MDD episode (OR range: moderate, 1.61-1.84; severe, 1.93-2.23; and psychotic, 2.73-3.07) were associated with more severe trajectories. Parental anxiety (OR, 1.34 [95% CI, 1.10-1.63]) and depression (OR, 1.63 [95% CI, 1.28-2.09]) were associated with the prolonged initial contact and later reentry classes, respectively. Parental schizophrenia was associated with the persistent contact class (OR range, 2.55-3.04).

CONCLUSIONS AND RELEVANCE

Most people treated for moderate to severe MDD in Danish psychiatric hospitals do not receive additional MDD treatment after 2 years; however, a minority receive specialty treatment for up to a decade. Observable heterogeneity in the course may be indicative of underlying etiologic differences.

Heterogeneity in long-term trajectories of depressive symptoms: Patterns, predictors and outcomes

BACKGROUND

Evidence suggests that long-term trajectories of depressive symptoms vary greatly throughout the population, with some individuals experiencing few or no symptoms, some experiencing transient symptoms and others experiencing chronic depression. The goal of this paper is to review studies that examined heterogeneity in long-term trajectories of depressive symptoms and summarize the current knowledge regarding (a) the number and patterns of trajectories and (b) antecedents and outcomes associated with different trajectory patterns.

METHODS

We conducted a systematic review of literature in the Medline and PsychINFO databases. Articles were included if they (a) modeled trajectories of depressive symptoms, (b) used a group-based trajectory modeling approach, (c) followed participants for 5+ years and (d) had a sample size of at least 200.

RESULTS

We identified 25 studies from 24 separate cohorts. Most of the studies identified either 3 or 4 distinct trajectory classes. Trajectories varied in terms of severity (low, medium, high) and stability (stable, increasing, decreasing). In most studies, the majority of participants had consistently few or no depressive symptoms, but a notable minority (usually <10%) reported persistent symptoms. Predictors of trajectories with greater symptom burden included female gender, lower income/education and non-white race. Other predictors were specific to different populations (e.g. mothers, older adults). High symptom burden trajectories were associated with poor psychiatric and social outcomes.

LIMITATIONS

Comparisons between studies were qualitative.

CONCLUSIONS

Trajectories of depression symptoms in the general population are heterogeneous, with most individuals showing minimal symptoms but a notable minority experiencing chronic high symptom burden.

Depression trajectories and the association with metabolic adversities among the middle-aged adults

BACKGROUND

Despite both depression and metabolic disturbances confer substantial burden of disease, natural course of depressive symptoms and the relationship with metabolic adversities have not examined. We explore associations between trajectories of depressive symptoms and metabolic disturbance, lifestyle factors and comorbidities.

METHODS

This retrospective cohort study included 13,745 subjects (8113 men and 5632 women) 40-59 years of age who underwent health examinations at the Seoul National University Hospital Healthcare System, Gangnam Center, in Korea. The median follow-up duration was 4.0 years. We estimated the mean trajectories of the Beck Depression Inventory scores using latent-class growth-curve analysis.

RESULTS

We identified four distinctive trajectories of depressive symptoms in both sex. The probabilities of group membership were 35.1% (n=2374) in minimal, 47.4% (n=4545) in persistent-mild, 14.4% (n=987) in persistent-moderate, and 3.0% (n=207) in persistent-severe in men, and 36.3% (n=1883), 50.0% (n=3069), 12.3% (n=601) and 1.5% (n=79) in women. We found significant increasing trend in the prevalence of metabolic abnormalities in more severe depressive trajectory. The adjusted odds ratios of persistent-severe were significantly increased for the following variables: low HDL, hypertriglyceridemia, and metabolic syndrome (MetS) in men and hypertriglyceridemia, MetS in women, and smoking, alcohol consumption and lack of exercise in both genders.

LIMITATIONS

Medical and psychiatric histories were obtained using a self-reported questionnaire rather than formal diagnostic assessments.

CONCLUSIONS

The higher level of depressive symptoms trajectory was associated with MetS, especially lipid abnormalities, and several modifiable lifestyle factors. Our findings provide important implications for developing health policy and guidelines for reducing depressive symptom burden.

Alcohol Use Predicts 10-Year Depressive Symptom Trajectories in the Health and Retirement Study

OBJECTIVE

To determine effects of late-middle-aged adults' baseline drinking behavior on their subsequent 10-year depressive symptom trajectories.

METHOD

Health and Retirement Study participants (N = 7,939) were assessed on baseline demographic, health, and drinking characteristics, and biennially assessed for the next 10 years on their depressive symptoms.

RESULTS

Growth mixture modeling generated four classes of depressive symptom trajectories: Consistently low (72%), consistently elevated (6%), increasing (12%), and decreasing (10%). Baseline abstinence from alcohol, possibly enforced by poorer health and a history of drinking problems, and heavier drinking, "binge" drinking, and having a history of drinking problems, raised risk of membership in the "consistently elevated" class. Abstinence by participants without history of drinking problems-and light, moderate, and heavier drinking-protected against membership in the "increasing" class. Abstinence by participants without history of drinking problems elevated-and moderate drinking reduced-likelihood of membership in the "decreasing" class.

DISCUSSION

Late-middle-aged adults' alcohol use is associated with the subsequent long-term course of their depressive symptoms.

Depressive Trajectories and Risk of Disability and Mortality in Older Adults: Longitudinal Findings From the Health, Aging, and Body Composition Study

BACKGROUND

Depression and disability are closely linked. Less is known regarding clinical and subclinical depressive symptoms over time and risk of disability and mortality.

METHODS

Responses to the Center for Epidemiologic Studies Short Depression scale (CES-D10) were assessed over a 4-year period in men (n = 1032) and women (n = 1070) aged 70-79 years initially free from disability. Depressive symptom trajectories were defined with group-based models. Disability (2 consecutive reports of severe difficulty walking one-quarter mile or climbing 10 steps) and mortality were determined for 9 subsequent years. Hazard ratios (HRs) were estimated using Cox proportional hazards adjusted for covariates.

RESULTS

Three trajectories were identified: persistently nondepressed (54% of men, 54% of women, mean baseline CES-D10: 1.16 and 1.46), mildly depressed and increasing (40% of men, 38% of women, mean baseline CES-D10: 3.60 and 4.35), and depressed and increasing (6% of men, 8% of women, mean baseline CES-D10: 7.44 and 9.61). Disability and mortality rates per 1,000 person years were 41.4 and 60.3 in men and 45.8 and 41.9 in women. Relative to nondepressed, men in the mildly depressed (HR = 1.45, 95% confidence interval [CI] 1.11-1.89) and depressed trajectories (HR = 2.12, 95% CI 1.33-3.38) had increased disability; women in the depressed trajectory had increased disability (HR = 2.02, 95% CI 1.37-2.96). Men in the mildly depressed (HR = 1.24, 95% CI 1.01-1.52) and depressed trajectories (HR = 1.63, 95% CI 1.10-2.41) had elevated mortality risk; women exhibited no mortality risk.

CONCLUSIONS

Trajectories of depressive symptoms without recovery may predict disability and mortality in apparently healthy older populations, thus underscoring the importance of monitoring depressive symptoms in geriatric care.

Obesity, fat distribution, and risk of frailty in two population-based cohorts of older adults in Spain

OBJECTIVE

To evaluate for the first time the longitudinal relationship between abdominal obesity and the onset of frailty.

METHODS

Study based on results from two population-based cohorts, the Seniors-ENRICA, with 1801 individuals aged ≥60, and the Toledo Study for Healthy Ageing (TSHA), with 1289 participants ≥65 years. Incident frailty was assessed with the Fried criteria.

RESULTS

During 3.5 years of follow-up, 125 individuals with incident frailty in Seniors-ENRICA and 162 in TSHA were identified. After adjustment for the main confounders, the pooled odds ratio (pooled OR) for general obesity and risk of frailty was 1.73 (95% confidence interval [CI]: 1.18-2.28). Abdominal obesity was also associated with frailty (pooled OR: 1.67; 95% CI: 1.09-2.25). Compared with individuals with BMI <25 kg/m(2) and no abdominal obesity, the risk of frailty was highest among individuals with concurrent general and abdominal obesity (pooled OR: 2.55; 95% CI: 1.23-3.86). General obesity was associated with increased risk of exhaustion (pooled OR: 1.66; 95% CI: 1.11-2.21), low physical activity (pooled OR: 1.57; 95% CI: 1.08-2.05), and weakness (pooled OR: 1.63; 95% CI: 1.12-2.05). For abdominal obesity, results were in the same direction, although they showed statistical significance only for weakness (OR: 1.46; 95% CI: 1.11-1.80).

CONCLUSIONS

General and abdominal obesity are associated with incident frailty in the elderly.

Body mass index and depressive symptoms in middle aged and older adults

Background

The relationship between weight problems and depression has been the focus of many studies; however, results from these studies vary. The purpose of this study is to describe the association between depression and BMI using data from a national sample of middle aged and older Koreans and to examine whether gender moderates the relationship between depression and weight.

Methods

We used data from the Korean Longitudinal Study of Aging (KLoSA). Of the 7,920 respondents that participated in KLoSA in 2010, 7,672 adults aged between 50 and 102 years were included in the final analysis. The relationship between depression and obesity status was examined in both the full sample and in sub-samples stratified by gender. The observed U-shaped association between obesity status and CES-D score was tested by regressing CES-D score on linear and quadratic terms of BMI scores.

Results

The distribution of CES-D scores by respondents’ obesity status (i.e., underweight, normal weight, overweight, obese and severely obese) showed a U-shaped association. Specifically, the highest CES-D scores were found in underweight individuals; this was followed by the severely obese and obese groups in the full sample and in gender-specific subsamples. The lowest CES-D scores were found in the overweight group when considering the entire population and males alone and in the normal weight group for females. This U-shaped association between CES-D and obesity status was confirmed by a model in which CES-D scores were regressed on BMI scores and other covariates.

Conclusions

This study found a U-shaped association between BMI and levels of depressive symptoms among adults in Korea overall and also within each gender. Specifically, the highest level of depressive symptoms was found among the underweight, followed by the severely obese and then the obese. Slightly different patterns between male and female adults were found regarding the weight status associated with the fewest depressive symptoms.

Eat now or later: self-control as an overlapping cognitive mechanism of depression and obesity

While overlapping neurobiological mechanisms are known, relatively little is known about how “self-control” and cognitive affective processing of rewards may also influence the bi-directional risk between obesity and depression. The objective of this study was to identify the extent to which “self-control,” measured using a delay discounting task is co-related to BMI and Depression diagnostic thresholds. A within-subjects counterbalanced design was used in which 92 participants (Mean±SD: BMI = 27.9±3.5, HAMD = 14.7±7.7) completed a series of clinical diagnostic, survey, and demographic questionnaires in a behavioral health laboratory setting. For the delay discounting task, participants chose between one large delayed reward and one successively smaller immediate reward for four food types (dessert, fried food, fruit, and vegetable). Results showed that delay discounting scores were predictive of BMI and depression with lower delay discounting scores associated with higher BMI and HAMD for the dessert (HAMD scores (β = -.197, p = .013), BMI (β = -.239, p < .001)) and fried food (HAMD scores (β = -.328, p = .001), BMI (β = -.166, p = .027)). Clinical significance was further evident when HAMD and BMI scores were converted to diagnostic thresholds. Only depression and/or atypical depressive symptoms were related to delay discounting scores with the fruit and vegetable. Thus, reduced cognitive affective self-control for impulsive food choices—particularly for “comfort foods” high in fat and sugar—appears to be a shared cognitive mechanism for both conditions perhaps contributing to the high prevalence of co-morbid mood disorders and weight gain.

Gender and Ethnic Differences in the Association Between Obesity and Depression Among Black Adolescents

AIM

This study aimed to investigate the association between obesity and major depression disorder (MDD) in a nationally representative sample of Black adolescents in the USA. The study also tested the effects of ethnicity and gender as possible moderators.

METHOD

Data came from the National Survey of American Life (NSAL)-Adolescents, a representative household mental health survey of Black adolescents in the USA. Participants consisted of 1170 Black adolescents (810 African Americans and 360 Caribbean Blacks). Obesity was defined determined by the cutoff points based on the body mass index (BMI) appropriate for age and gender. Twelve-month MDD was measured using the World Mental Health Composite International Diagnostic Interview (CIDI). In the first step, the association between obesity and MDD in the pooled sample, controlling for the main effects of gender and ethnicity. In the next steps, two interactions were tested: (1) obesity and ethnicity and (2) obesity and gender.

RESULTS

Although any associations between obesity and MDD in the pooled sample of Blacks were not found, there was a significant interaction between ethnicity and obesity on MDD. Upon testing the associations across intersections of ethnicity and gender, a positive association was found among Caribbean Black females but not Caribbean Black males, African American males, or African American female.

CONCLUSION

The link between BMI and MDD among Blacks depends on ethnicity and gender, and risk of comorbid depression among Black youth with obesity is highest among Caribbean Black females.

Body mass index and depressive symptoms in older adults: a cross-lagged panel analysis

Background

There are conflicting results about the association between body mass index (BMI) and depressive symptoms in older adults. The present study examined the relationship between weight and depressive symptoms over time in older adults in South Korea.

Methods

We used data from three waves of the Korean Longitudinal Study of Aging and ran a series of cross-lagged panel models to test the reciprocal relationship between depressive symptoms and obesity in older Korean adults. We assumed a temporally stable relationship between depressive symptoms and obesity and, thus imposed equality constraints over time.

Results

After controlling for the effect of depressive symptoms two years prior, underweight older adults had a higher depressive symptom score than those of normal weight. When controlling for obesity status from two years prior, older adults with higher levels of depressive symptoms were more likely to be underweight and less likely to be overweight than normal weight. The same patterns were observed in data from 2006 to 2008 and from 2008 to 2010.

Conclusions

These results show that there is a correlation between depressive symptoms and weight status. In middle-aged and elderly Asian populations, depression can lead to weight loss rather than obesity, and underweight may develop depressive symptoms.

Late-life depression symptom profiles are differentially associated with immunometabolic functioning

Growing evidence suggests immune and metabolic dysregulation among depressed persons, possibly restricted to specific subgroups. This study explores the association between depressive disorders and characteristics with immunometabolic functioning among older persons. Data are from the baseline assessment of the Netherlands Study of Depression in Older Persons, including 131 non-depressed and 358 depressed (6-month DSM-IV major depressive disorder) persons (60-93 years). Immune (C-reactive protein, interleukin [IL]-6) and metabolic (waist circumference, triglycerides, high-density lipoprotein cholesterol, blood pressure, fasting glucose) factors were measured. Depression characteristics included severity, age of onset, symptom profile (atypical/melancholic) and antidepressant use. Depressed persons showed lower IL-6 levels compared with non-depressed persons. Depressed persons, except those with atypical depression, had lower waist circumference, lower glucose levels and scored lower on an overall index including all immunometabolic factors. Low waist circumference was more pronounced among those with less severe depression and those with a later age of onset, whom also had lower blood pressure levels. Atypical depression was associated with higher triglyceride levels. Antidepressant use was not clearly associated with immunometabolic functioning. To conclude, contrary to our expectations, we found overall immunometabolic downregulation in older depressed persons, in particular among those with less severe symptoms and those with late-life onset. However, persons with atypical depression presented with metabolic upregulation compared with other depressed persons. Taking depression symptom profiles into account is important when examining biological dysregulation in late-life depression.

Ageing and trajectories of depressive symptoms in community-dwelling men and women

OBJECTIVE

The aim of this study was to investigate age-related patterns of depressive symptoms in older men and women and to identify their determinants.

METHODS

The Center for Epidemiological Studies Depression Scale was used to prospectively assess depressive symptoms in 1059 men and 1531 women, enrolled in a French representative population-based cohort (PAQUID study) and followed over a period of 20 years. Using a group-based trajectory method with an accelerated longitudinal design, we modelled the course of depressive symptoms between 65 and 104 years of age and examined associations between trajectory patterns and baseline socio-demographic and health variables.

RESULTS

In men, we identified three rising trajectories: 'never depressed' including 65% of the sample, 'emerging depression' (28%) and 'increasing depression' (7%). Compared with the membership of the never-depressed trajectory, that of the two higher trajectories was significantly associated with a history of depression and dyspnoea. In women, we identified two slightly rising trajectories (never depressed, 56%, and 'rising subclinical', 33%) and one stable high trajectory ('persistent depression', 11%). Membership of the two higher trajectories was significantly associated with the use of benzodiazepine, polymedication and dyspnoea. A history of nondepressive psychiatric disorder was a risk factor for membership of the persistent-depression group, whereas being widowed seemed to be a protective factor for membership of this group.

CONCLUSION

High-risk groups for later-life depression should be targeted differently in older men and women in order to implement appropriate interventions to prevent chronicity and disability.

HPA axis and aging in depression: systematic review and meta-analysis

One of the most consistent findings in the biology of depression is an altered activity of the hypothalamic-pituitary-adrenal (HPA) axis. However, data concerning this issue have never been examined with a focus on the older population. Here we present a systematic review and meta-analysis, based on studies investigating levels of cortisol, adrenocorticotropic hormone (ACTH) and corticotropin-releasing hormone (CRH) in depressed participants older than 60 and compared with healthy controls. We found 20 studies, for a total of 43 comparisons on different indices of HPA axis functioning. Depression had a significant effect (Hedges' g) on basal cortisol levels measured in the morning (0.89), afternoon (0.83) and night (1.39), but a smaller effect on cortisol measured continuously (0.51). The effect of depression was even higher on post-dexamethasone cortisol levels (3.22), whereas it was non-significant on morning ACTH and CRH levels. Subgroup analyses indicated that various methodological and clinical factors can influence the study results. Overall, older participants suffering from depression show a high degree of dysregulation of HPA axis activity, with differences compared with younger adults. This might depend on several mechanisms, including physical illnesses, alterations in the CNS and immune-endocrinological alterations. Further studies are needed to clarify the implications of altered HPA axis activity in older patients suffering from depression. Novel pharmacological approaches might be effective in targeting this pathophysiological feature, thus improving the clinical outcomes.

What characterizes late-life depression?

This article analyzes late-life depression, looking carefully at what defines a person as elderly, the incidence of late-life depression, complications and differences in symptoms between young and old patients with depression, subsyndromal depression, bipolar depression in the elderly, the relationship between grief and depression, along with sleep disturbances and suicidal ideation.

Long-term cumulative depressive symptom burden and risk of cognitive decline and dementia among very old women

BACKGROUND

Depressive symptoms and cognitive outcomes are strongly interrelated. Despite that rates of depressive symptoms fluctuate during late life, little is known about the impact of long-term cumulative depressive symptom burden on cognitive decline and dementia in older adults. This study examines the association of nearly 20 years of cumulative depressive symptoms with cognitive outcomes in a cohort of older women.

METHODS

We assessed depressive symptoms in 7,240 women using the Geriatric Depression scale (GDS) at serial visits. We used a Poisson model with random slopes to estimate GDS trajectories for each participant from baseline to death or end of follow-up, and then characterized depressive symptom burden by quartile of the area under the curve. We assessed cognitive outcomes using repeated measures of the Mini-Mental State Examination (MMSE) and Trails B score over 20 years, Year-20 neuropsychological test battery, and adjudicated dementia and mild cognitive impairment (MCI).

RESULTS

Adjusting for potential confounders, compared with women in the lowest quartile of cumulative depressive symptoms burden, women in the highest quartile had 21% more MMSE errors over time (95% CI = 17%, 26%), 20% worse Trails B score over time (95% CI = 17%, 23%), worse scores on most of the Year-20 cognitive tests, and a twofold greater likelihood of developing dementia or MCI (95% CI = 1.48, 3.11).

CONCLUSIONS

Long-term cumulative depressive symptom burden was associated with cognitive decline and risk of dementia or MCI. Older adults with a history of depression should be closely monitored for recurrent episodes or unresolved depressive symptoms as well as any cognitive deficits.

Late-life depressive symptoms: prediction models of change

BACKGROUND

Depression is a well-recognised problem in the elderly. The aim of this study was to determine the factors associated with predictors of change in depressive symptoms, both in subjects with and without baseline significant depressive symptoms.

METHODS

Longitudinal study of community-dwelling elderly people (>60 years or older), baseline evaluations, and two additional evaluations were reported. Depressive symptoms were measured using a 30-item geriatric depression scale, and a score of 11 was used as cut-off point for significant depressive symptoms in order to stratify the analyses in two groups: with significant depressive symptoms and without significant depressive symptoms. Sociodemographic data, social support, anxiety, cognition, positive affect, control locus, activities of daily living, recent traumatic life events, physical activity, comorbidities, and quality of life were evaluated. Multi-level generalised estimating equation model was used to assess the impact on the trajectory of depressive symptoms.

RESULTS

A number of 7882 subjects were assessed, with 29.42% attrition. At baseline assessment, mean age was 70.96 years, 61.15% were women. Trajectories of depressive symptoms had a decreasing trend. Stronger associations in those with significant depressive symptoms, were social support (OR.971, p<.001), chronic pain (OR 2.277, p<.001) and higher locus of control (OR.581, p<.001). In contrast for those without baseline significant depressive symptoms anxiety and a higher locus of control were the strongest associations.

CONCLUSIONS

New insights into late-life depression are provided, with special emphasis in differentiated factors influencing the trajectory when stratifying regarding basal status of significant depressive symptoms.

LIMITATIONS

The study has not included clinical evaluations and nutritional assessments.

Atypical depressive symptoms and obesity in a national sample of older adults with major depressive disorder

BACKGROUND

The objectives of this study are to present findings on the rate of obesity associated with classic, atypical, and undifferentiated depression by comparing with those without depression in a nationally representative sample of United States older adults.

METHODS

The authors used data from the 2001 to 2002 National Epidemiologic Survey of Alcohol and Related Conditions (NESARC), which included 10,557 adults 60 years of age and older. Chi-square tests were used to compare classic, atypical, and undifferentiated as well as nondepressed control in sociodemographic characteristics. Then, logistic regressions adjusting for sociodemographic characteristics were used to evaluate associations of rate of current obesity (defined as Body Mass Index (BMI) > 30) across the three depressive groups (classic, atypical, and undifferentiated depression) and nondepressed control. Lifetime, current, and past depression were examined.

RESULTS

Significant differences were found between atypical and classic depression in sex, age, marital status, race, and personal income. After adjusting for sex, age, marital status, race, and personal income, the rate of obesity was significantly greater for respondents with atypical depression than respondents with classic, undifferentiated depression, or without depression. Same results were found in lifetime, current, and past depression.

CONCLUSION

Our findings suggest that the heterogeneity of depression should be considered when examining the effect of depression on obesity in old age. Prevention measures should be designed and delivered to older adults with atypical depression.

Twenty-year depressive trajectories among older women

CONTEXT

Despite the frequent occurrence of depressive symptoms among older adults, especially women, little is known about the long-term course of late-life depressive symptoms.

OBJECTIVE

To characterize the natural course of depressive symptoms among older women (from the young old to the oldest old) followed up for almost 20 years.

DESIGN

Using latent-class growth-curve analysis, we analyzed women enrolled in an ongoing prospective cohort study (1988 through 2009).

SETTING

Clinic sites in Baltimore, Maryland; Minneapolis, Minnesota; the Monongahela Valley near Pittsburgh, Pennsylvania; and Portland, Oregon.

PARTICIPANTS

We studied 7240 community-dwelling women 65 years or older.

MAIN OUTCOME MEASURE

The Geriatric Depression Scale short form (score range, 0-15) was used to routinely assess depressive symptoms during the follow-up period.

RESULTS

Among older women, we identified 4 latent classes during 20 years, with the predicted probabilities of group membership totaling 27.8% with minimal depressive symptoms, 54.0% with persistently low depressive symptoms, 14.8% with increasing depressive symptoms, and 3.4% with persistently high depressive symptoms. In an adjusted model for latent class membership, odds ratios (ORs) for belonging in the increasing depressive symptoms and persistently high depressive symptoms classes, respectively, compared with a group having minimal depressive symptoms were substantially and significantly (P < .05) elevated for the following variables: baseline smoking (ORs, 4.69 and 7.97), physical inactivity (ORs, 2.11 and 2.78), small social network (ORs, 3.24 and 6.75), physical impairment (ORs, 8.11 and 16.43), myocardial infarction (ORs, 2.09 and 2.41), diabetes mellitus (ORs, 2.98 and 3.03), and obesity (ORs, 1.86 and 2.90).

CONCLUSIONS

During 20 years, almost 20% of older women experienced persistently high depressive symptoms or increasing depressive symptoms. In addition, these women had more comorbidities, physical impairment, and negative lifestyle factors at baseline. These associations support the need for intervention and prevention strategies to reduce depressive symptoms into the oldest-old years.