Can Obesity Cause Depression? A Pseudo-panel Analysis.
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ABSTRACT:
SUBMITTER: Ha H
PROVIDER: S-EPMC5541277 | biostudies-other | 2017 Jul
REPOSITORIES: biostudies-other
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Project description:Background: The link between body weight status and spinal diseases has been suggested by a number of cross-sectional and cohort studies with a limited range of patient populations. No population-representative samples have been used to examine the link between obesity and spinal diseases. The present study is based on a nationally representative sample drawn from the Medical Expenditure Panel Survey. Methods: Using the cross-sectional sample of the 2014 Medical Expenditure Panel Study, we built four weighted logistic regression analyses of the associations between body weight status and the following four spinal diseases: low back pain, spondylosis, other cervical disorders and intervertebral disc disorder (IDD). Each respondent's body weight status was used as the key independent variable with three categories: normal/underweight, overweight, and obese. We controlled for marital status, gender, age, smoking status, household income, health insurance coverage, educational attainment and the use of health services for other major categories of diseases. Results: A total sample of 23,048 respondents was used in our analysis. Overweight and obese respondents, as compared to normal/underweight respondents, were more likely to develop lower back problems (Overweight: logged odds = 0.218, p < 0.01; Obese: logged odds = 0.395, p < 0.001) and IDD (Overweight: logged odds = 0.441, p < 0.05; Obese: logged odds = 0.528, p < 0.001). The associations between bodyweight status and spondylitis were statistically insignificant (Overweight: logged odds = 0.281, p = 0.442; Obese: logged odds = 0.680, p = 0.104). The associations between body weight status and other cervical disorders (Overweight: logged odds = -0.116, p = 0.304; Obese: logged odds = -0.160, p = 0.865) were statistically insignificant. Conclusions: As the first study using a national sample to study bodyweight and spinal diseases, our paper supports the hypothesis that obesity adds to the burden of low back pain and IDD. Longitudinal and interventional studies are needed to understand the specific mechanisms behind these positive associations.
| S-EPMC5334737 | biostudies-literature
Project description:Hopefulness is arguably of central importance to the recovery of youth with major or complex youth depression, yet it is unclear how hopefulness can best be enhanced in treatment. A narrative synthesis of published and grey literature was combined with new insights from a youth lived-experience panel (N = 15), focusing on to what extent and how specific psychological therapies and standard mental health care scaffold hopefulness as applied to depression among 14-25-year-olds. Thirty-one studies of variable quality were included in this review; thirteen were qualitative, thirteen quantitative, and five used mixed methods. Hopefulness is an important active ingredient of psychotherapies and standard mental health care in youth depression. Evidence suggests talking and activity therapies have moderate to large effects on hopefulness and that hopefulness can be enhanced in standard mental health care. However, varying intervention effects suggest a marked degree of uncertainty. Hopefulness is best scaffolded by a positive relational environment in which there is support for identifying and pursuing personally valued goals and engaging in meaningful activity. Animated (https://www.youtube.com/watch?v=o4690PdTGec) and graphical summaries (https://doi.org/10.13140/RG.2.2.27024.84487) are available.Supplementary informationThe online version contains supplementary material available at 10.1007/s40894-021-00167-0.
| S-EPMC8260023 | biostudies-literature
Project description:BackgroundThis paper investigates the impact of the COVID-19 pandemic on depression in the older population, an especially vulnerable group for which to date there is limited empirical research.MethodsWe employ a panel data consisting of seven waves of the English Longitudinal Study of Ageing (2010-2020). The breadth and depth of the data considered enabled us to control for individual fixed effects, to adjust for pre-pandemic trends in depression levels and to perform a heterogeneity analysis, depending on the intensity of the lockdown measures implemented and relevant socioeconomic characteristics.ResultsWe find that, following the COVID-19 pandemic, study participants reported a statistically significant increase in the depressive symptoms by around 0.7 over 8 points as measured by the Centre for Epidemiologic Studies Depression (CES-D) index. The estimated coefficients were larger in November than in July, for individuals who lost their job, retired and women. Interestingly, we observed that mental health has worsened substantially relative to the pre-pandemic period across all income groups of the older population, suggesting a limited role of income as a protective mechanism for mental health.ConclusionsOur findings provide compelling evidence that depression levels amongst older adults have worsened considerably following the COVID-19 pandemic, and that factors other than income, such as social interactions, may be highly relevant for well-being in later life.
| S-EPMC9271012 | biostudies-literature
Project description:Available data indicate that patients with depression and anxiety disorders are likely to be at greater risk for suicide. Therefore, it is important to correctly diagnose patients with depression and anxiety disorders. However, there are still no empirical laboratory methods to objectively diagnose these patients. In this study, the multiple metabolomics platforms were used to profile the urine samples from 32 healthy controls and 32 patients with depression and anxiety disorders for identifying differential metabolites and potential biomarkers. Then, 16 healthy controls and 16 patients with depression and anxiety disorders were used to independently validate the diagnostic performance of the identified biomarkers. Finally, a panel consisting of four biomarkers-N-methylnicotinamide, aminomalonic acid, azelaic acid and hippuric acid-was identified. This panel was capable of distinguishing patients with depression and anxiety disorders from healthy controls with an area under the receiver operating characteristic curve of 0.977 in the training set and 0.934 in the testing set. Meanwhile, we found that these identified differential metabolites were mainly involved in three metabolic pathways and five molecular and cellular functions. Our results could lay the groundwork for future developing a urine-based diagnostic method for patients with depression and anxiety disorders.
| S-EPMC6145889 | biostudies-other
Project description:There are limited data regarding the relationship between depression and mortality in hemodialysis (HD) patients.Among 323 patients receiving maintenance HD, depression symptoms were assessed using the Center for Epidemiologic Studies Depression (CES-D) scale, with a score of ?16 consistent with depression. Adjusted Cox proportional-hazards models with additional analyses incorporating antidepressant medication use were used to evaluate the association between depression and mortality. Baseline CES-D scores were used for the primary analyses, while secondary time-dependent analyses incorporated subsequent CES-D results.The mean age was 62.9 ± 16.5 years, 46% of the subjects were women and 22% were African-American. The mean baseline CES-D score was 10.7± 8.3, and 83 (26%) participants had CES-D scores ?16. During a median (25th, 75th) follow-up of 25 (13, 43) months, 154 participants died. After adjusting for age, sex, race, primary cause of kidney failure, dialysis vintage and access, baseline depression was associated with an increased risk of all-cause mortality (HR 1.51 and 95% CI 1.06-2.17). This attenuated with further adjustment for cardiovascular disease, smoking, Kt/V, serum albumin, log C-reactive protein and use of antidepressants (HR 1.21 and 95% CI 0.82-1.80). When evaluating time-dependent CES-D, depression remained associated with increased mortality risk in the fully adjusted model (HR 1.44 and 95% CI 1.00-2.06).Greater symptoms of depression are associated with an increased risk of mortality in HD patients, particularly when accounting for the most proximate assessment. This relationship was attenuated with adjustment for comorbid conditions, suggesting a complex relationship between clinical characteristics and depression symptoms. Future studies should evaluate whether treatment for depression impacts mortality among HD patients.
| S-EPMC4128686 | biostudies-literature
Project description:In patients with complex psychosocial history presenting with resistant hypertension, observed therapy should be implemented early on to avoid unnecessary investigations and delayed diagnosis.
| S-EPMC5542088 | biostudies-other
Project description:Background:Obesity and depression are both associated with changes in sleep/wake regulation, with potential implications for individualized treatment especially in comorbid individuals suffering from both. However, the associations between obesity, depression, and subjective, questionnaire-based and objective, EEG-based measurements of sleepiness used to assess disturbed sleep/wake regulation in clinical practice are not well known. Objectives:The study investigates associations between sleep/wake regulation measures based on self-reported subjective questionnaires and EEG-derived measurements of sleep/wake regulation patterns with depression and obesity and how/whether depression and/or obesity affect associations between such self-reported subjective questionnaires and EEG-derived measurements. Methods:Healthy controls (HC, NHC = 66), normal-weighted depressed (DEP, NDEP = 16), non-depressed obese (OB, NOB = 68), and obese depressed patients (OBDEP, NOBDEP = 43) were included from the OBDEP (Obesity and Depression, University Leipzig, Germany) study. All subjects completed standardized questionnaires related to daytime sleepiness (ESS), sleep quality and sleep duration once as well as questionnaires related to situational sleepiness (KSS, SSS, VAS) before and after a 20 min resting state EEG in eyes-closed condition. EEG-based measurements of objective sleepiness were extracted by the VIGALL algorithm. Associations of subjective sleepiness with objective sleepiness and moderating effects of obesity, depression, and additional confounders were investigated by correlation analyses and regression analyses. Results:Depressed and non-depressed subgroups differed significantly in most subjective sleepiness measures, while obese and non-obese subgroups only differed significantly in few. Objective sleepiness measures did not differ significantly between the subgroups. Moderating effects of obesity and/or depression on the associations between subjective and objective measures of sleepiness were rarely significant, but associations between subjective and objective measures of sleepiness in the depressed subgroup were systematically weaker when patients comorbidly suffered from obesity than when they did not. Conclusion:This study provides some evidence that both depression and obesity can affect the association between objective and subjective sleepiness. If confirmed, this insight may have implications for individualized diagnosis and treatment approaches in comorbid depression and obesity.
| S-EPMC7144401 | biostudies-literature
Project description:BackgroundUnderstanding cause of death in people with depression could inform approaches to reducing premature mortality.AimTo describe all-cause and cause-specific mortality for people with severe depression in Scotland, by sex, relative to the general population.MethodWe performed a retrospective cohort study, using psychiatric hospital admission data linked to death data, to identify adults (≥18 years old) with severe depression and ascertain cause-specific deaths, during 2000-2019. We estimated relative all-cause and cause-specific mortality for people with severe depression using standardised mortality ratios (SMRs), stratified by sex using the whole Scottish population as the standard.ResultsOf 28 808 people with severe depression, 7903 (27.4%) died during a median follow-up of 8.7 years. All-cause relative mortality was over three times higher than expected (SMR, both sexes combined: 3.26, 95% CI 3.19-3.34). Circulatory disease was the leading cause of death, and, among natural causes of death, excess relative mortality was highest for circulatory diseases (SMR 2.51, 2.40-2.66), respiratory diseases (SMR 3.79, 3.56-4.01) and 'other' causes (SMR 4.10, 3.89-4.30). Among circulatory disease subtypes, excess death was highest for cerebrovascular disease. Both males and females with severe depression had higher all-cause and cause-specific mortality than the general population. Suicide had the highest SMR among both males (SMR 12.44, 95% CI 11.33-13.54) and females (22.86, 95% CI 20.35-25.36).ConclusionPeople with severe depression have markedly higher all-cause mortality than the general population in Scotland, with relative mortality varying by cause of death. Effective interventions are needed to reduce premature mortality for people with severe depression.
| S-EPMC10790224 | biostudies-literature
Project description:ObjectiveType 2 diabetes (T2D) is associated with increased mortality in ethnically diverse populations, although the extent to which this association is genetically determined is unknown. We sought to determine whether T2D-related genetic variants predicted all-cause mortality, even after accounting for BMI, in the Third National Health and Nutrition Examination Survey.Research design and methodsWe modeled mortality risk using a genetic risk score (GRS) from a weighted sum of risk alleles at 38 T2D-related single nucleotide polymorphisms. In age-, sex-, and BMI-adjusted logistic regression models, accounting for the complex survey design, we tested the association with mortality in 6,501 participants. We repeated the analysis within ethnicities (2,528 non-Hispanic white [NHW], 1,979 non-Hispanic black [NHB], and 1,994 Mexican American [MA]) and within BMI categories (<25, 25-30, and ≥30 kg/m(2)). Significance was set at P < 0.05.ResultsOver 17 years, 1,556 participants died. GRS was associated with mortality risk (OR 1.04 [95% CI 1.00-1.07] per T2D-associated risk allele, P = 0.05). Within ethnicities, GRS was positively associated with mortality risk in NHW and NHB, but not in MA (0.95 [0.90-1.01], P = 0.07). The negative trend in MA was largely driven by those with BMI <25 kg/m(2) (0.91 [0.82-1.00]). In NHW, the positive association was strongest among those with BMI ≥30 kg/m(2) (1.07 [1.02-1.12]).ConclusionsIn the U.S., a higher T2D genetic risk was associated with increased mortality risk, especially among obese NHW. The underlying genetic basis for mortality likely involves complex interactions with factors related to ethnicity, T2D, and body weight.
| S-EPMC4806775 | biostudies-literature
Project description:ImportanceCurrent public health guidelines for obesity prevention and control focus on promoting a normal body mass index (BMI), rarely addressing central obesity, which is reflected by high waist circumference (WC) and common in the general population. Studies of the association of normal-weight central obesity with long-term health outcomes are sparse.ObjectiveTo examine associations of normal-weight central obesity with all-cause and cause-specific mortality in postmenopausal women in the United States.Design, setting, and participantsA nationwide prospective cohort study of 156 624 postmenopausal women enrolled in the Women's Health Initiative at 40 clinical centers in the United States between 1993 and 1998. These women were observed through February 2017. Data analysis was performed from September 15, 2017, to March 13, 2019.ExposuresDifferent combinations of BMI (calculated as weight in kilograms divided by height in meters squared; normal weight: BMI, 18.5-24.9; overweight: BMI, 25.0-29.9; and obesity: BMI, ≥30) and WC (normal: WC, ≤88 cm and high: WC, >88 cm).Main outcomes and measuresMortality from all causes, cardiovascular disease, and cancer.ResultsOf the 156 624 women (mean [SD] age, 63.2 [7.2] years), during 2 811 187 person-years of follow-up, 43 838 deaths occurred, including 12 965 deaths from cardiovascular disease (29.6%) and 11 828 deaths from cancer (27.0%). Compared with women with normal weight and no central obesity and adjusted for demographic characteristics, socioeconomic status, lifestyle factors, and hormone use, the hazard ratio for all-cause mortality was 1.31 (95% CI, 1.20-1.42) among women with normal weight and central obesity, 0.91 (95% CI, 0.89-0.94) among women with overweight and no central obesity, 1.16 (95% CI, 1.13-1.20) for women with overweight and central obesity, 0.93 (95% CI, 0.89-0.94) for women with obesity and no central obesity, and 1.30 (95% CI, 1.27-1.34) for women with obesity and central obesity. Compared with normal weight without central obesity, normal-weight central obesity was associated with higher risk of cardiovascular disease mortality (hazard ratio, 1.25; 95% CI, 1.05-1.46) and cancer mortality (hazard ratio, 1.20; 95% CI, 1.01-1.43).Conclusions and relevanceNormal-weight central obesity in women was associated with excess risk of mortality, similar to that of women with BMI-defined obesity with central obesity. These findings underscore the need for future public health guidelines to include the prevention and control of central obesity, even in individuals with normal BMI.
| S-EPMC6659146 | biostudies-literature