Are changes in body-mass-index associated with changes in depressive symptoms? Findings of a population-based longitudinal study among older Germans

The relationship of lifetime history of depression on the ovarian tumor immune microenvironment

BACKGROUND

Depression is associated with a higher ovarian cancer risk. Prior work suggests that depression can lead to systemic immune suppression, which could potentially alter the anti-tumor immune response.

METHODS

We evaluated the association of pre-diagnosis depression with features of the anti-tumor immune response, including T and B cells and immunoglobulins, among women with ovarian tumor tissue collected in three studies, the Nurses' Health Study (NHS; n = 237), NHSII (n = 137) and New England Case-Control Study (NECC; n = 215). Women reporting depressive symptoms above a clinically relevant cut-point, antidepressant use, or physician diagnosis of depression at any time prior to diagnosis of ovarian cancer were considered to have pre-diagnosis depression. Multiplex immunofluorescence was performed on tumor tissue microarrays to measure immune cell infiltration. In pooled analyses, we estimated odds ratios (OR) and 95% confidence intervals (CI) for the positivity of tumor immune cells using a beta-binomial model comparing those with and without depression. We used Bonferroni corrections to adjust for multiple comparisons.

RESULTS

We observed no statistically significant association between depression status and any immune markers at the Bonferroni corrected p-value of 0.0045; however, several immune markers were significant at a nominal p-value of 0.05. Specifically, there were increased odds of having recently activated cytotoxic (CD3+CD8+CD69+) and exhausted-like T cells (CD3+Lag3+) in tumors of women with vs. without depression (OR = 1.36, 95 %CI = 1.09-1.69 and OR = 1.24, 95 %CI = 1.01-1.53, respectively). Associations were comparable when considering high grade serous tumors only (comparable ORs = 1.33, 95 %CI = 1.05-1.69 and OR = 1.25, 95 %CI = 0.99-1.58, respectively). There were decreased odds of having tumor infiltrating plasma cells (CD138+) in women with vs. without depression (OR = 0.54, 95 %CI = 0.33-0.90), which was similar among high grade serous carcinomas, although not statistically significant. Depression was also related to decreased odds of having naïve and memory B cells (CD20+: OR = 0.54, 95 %CI = 0.30-0.98) and increased odds of IgG (OR = 1.22, 95 %CI = 0.97-1.53) in high grade serous carcinomas.

CONCLUSION

Our results provide suggestive evidence that depression may influence ovarian cancer outcomes through changes in the tumor immune microenvironment, including increasing T cell activation and exhaustion and reducing antibody-producing B cells. Further studies with clinical measures of depression and larger samples are needed to confirm these results.

The impact of BMI on psychological health in oldest old individuals-Are there differences between women and men?

OBJECTIVE

The aim of this study was to determine the association of mental health issues associated with BMI and gender in the oldest old population (secondary data analyses).

METHOD

The data were taken from the second follow-up of a long-term study investigating the impact of the COVID-19 pandemic on health in oldest old individuals (range: 77-96 years). The response rate was 80.0%. Apart from sociodemographic characteristics (age, gender, weight and height); anxiety, depression, somatic complaints and social support were assessed in this survey.

RESULTS

Analyses revealed gender-specific differences, indicating that male participants with excess weight show more complaints compared to their counterparts without excess weight. According to regression results, BMI was associated with somatization, but not depression or anxiety.

CONCLUSION

High BMI contributed to more somatic complaints and men may be affected differently by BMI regarding their mental well-being. Longitudinal results are needed in order to confirm these findings and develop suitable interventions based on individual needs of the oldest old.

Interpreting the Evidence of Body Mass Index in Relation to Mental Health Status in Community-Dwelling Older Adults

INTRODUCTION

Maintaining a better physical and mental health status is an important issue for older adults in their later life. Thus, the study's purpose was to evaluate the association between body mass index (BMI) and mental health status in older adults aged 65 years old or above residing in communities of Taipei City, Taiwan.

METHODS

We carried out secondary data analysis with data from a volunteer-based health examination project for older adults >65 years old residing in Taipei City from 2006 to 2010 with a retrospective study design. BMI, calculated by standardized measuring procedures for height and weight, and mental health status, evaluated by 5-item Brief Symptom Rating Scale (BSRS-5), were collected at their first visits of health examination. A BSRS-5 score ≥6 was considered an inferior mental health status for the outcome. In statistical analysis, univariable and multivariable logistic regressions were adopted to estimate the relative risk of inferior mental health status, treating BMI as the major exposure of interest.

RESULTS

A total of 90,576 subjects were involved, with a mean age of 73.38 years old (SD = 6.64 years) and 49.21% females. With confounders controlled, compared to normal or overweight (23 ≤ BMI <30), an adjusted OR of 1.23 (95% CI: 1.18, 1.29) on inferior mental health status was detected for the underweight group (BMI <23) significantly. Adjusted OR for those obese (BMI ≧30) was 0.87 (95% CI: 0.79, 0.96). Significantly elevated ORs of underweight were found for both genders, but the significantly protective effect of obese was only detected for females.

CONCLUSION

Keeping an appropriate weight or even being overweighted might be beneficial for older adults dwelling in the community, especially for males.

Lactobacillus rhamnosus zz-1 exerts preventive effects on chronic unpredictable mild stress-induced depression in mice via regulating the intestinal microenvironment

Depression remains one of the most prevalent psychiatric disorders, and it has been confirmed that it is related to the dysfunction of the microbiota-gut-brain axis. Manipulation of the gut microenvironment by probiotics might improve mental health and prevent stress-related psychiatric disorders. The present study aimed to determine whether Lactobacillus rhamnosus (L. rhamnosus) zz-1 could prevent the occurrence of depression and its potential mechanisms using a mouse model with chronic unpredictable mild stress (CUMS). The results indicated that L. rhamnosus zz-1 intervention ameliorated CUMS-induced depression-like behaviors of mice with reduced body growth rate, lowered sucrose preference, increased immobility time, as well as decreased curiosity and mobility. Moreover, L. rhamnosus zz-1 significantly inhibited hormones released due to hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis, alleviated CUMS-induced deficits of monoamine neurotransmitters, and increased the expression of brain-derived neurotrophic factor (BDNF) and tyrosine kinase receptor B (TrkB). These benefits were partially linked to the regulation of the intestinal microenvironment. L. rhamnosus zz-1 alleviated intestinal damage and reduced intestinal inflammation of the depressed mice. Meanwhile, L. rhamnosus zz-1 effectively adjusted the dysbiosis of mouse gut microbiota induced by CUMS, such as changes in the abundance of the Lachnospiraceae NK4A136 group, Bacteroides, and Muribaculum. Taken together, these results demonstrated that L. rhamnosus zz-1 was effective in preventing depression from chronic stress, adding new evidence to support the mental benefits of probiotics.

Correlation Between Body Mass Index and Depression/Depression-Like Symptoms Among Different Genders and Races

Background

While being overweight is a risk factor for hyperlipidemia, type 2 diabetes, cancer, and heart disease, it can also be a risk factor for depression and vice versa. In this study, we aimed to evaluate the relationship between body mass index (BMI) and the prevalence of depression symptoms between genders and races.

Methodology

A nationally representative sample was utilized to explore the relationship between depression-related symptoms and BMI status by comparing different genders and racial identities. The National Health and Nutrition Examination Survey (NHANES) data, managed by the Centers for Disease Control and Prevention, was used in this study. Data from 2013 to 2016 were included in the analysis. The Patient Health Questionnaire was used to collect information regarding responses to eight primary questions based on gender, race, and BMI status. Statistical analysis was conducted using descriptive analysis and the chi-square test.

Results

Data were presented as percentages. A majority of both men and women who admitted to having depression or depression-like symptoms more than half the days or nearly every day were overweight or obese. However, men had a higher prevalence compared to women for most questions. Statistical analysis showed that among men and women who felt down, depressed, or hopeless nearly every day, 61.5% (χ² = 5.045, p = 0.992) and 50.9% (χ² = 17.186, p = 0.308) were overweight, respectively. Among the races, those who felt down, depressed, or hopeless nearly every day, non-Hispanic Asian individuals had the lowest percentage of being overweight at 47.7% (χ² = 7.099, p = 0.955), while Hispanic individuals other than Mexican Americans had the highest percentage of being overweight at 67.4% (χ² = 8.792, p = 0.721).

Conclusions

Being overweight or obese appears to have a positive relationship with depression and depression-like symptoms for each gender and race. Similarly, individuals who report having depression-like symptoms are likely to be overweight or obese. Further research is needed to determine other differences in etiologies between genders and races, along with determining whether more individuals become depressed due to being overweight or obese or whether more individuals become overweight or obese due to being depressed. The results of this study are limited to the data obtained through NHANES.

Dynamics between psychological distress and body mass index throughout adult life; evidence from 3 large cohort studies

BACKGROUND

Associations between body mass index (BMI) and psychological distress (PD) have been reported; however, few longitudinal studies have accounted for likely life-course differences in BMI and PD stability, consistency, and their interplay across time.

METHODS

Via random intercepts cross-lagged panel models, we assessed the predictive effects (from BMI to PD or vice-versa) across the last two centuries in the Coronary Artery Risk Development in Young Adults [CARDIA, beginning in 1985-6] study using the Center for Epidemiological Studies-Depression Scale [CES-D], and in the National Child Development Study [NCDS, beginning in 1958] and British Cohort Study [BCS, beginning in 1970] using the Malaise Inventory [MI]), assessed at least 4 times in adult life.

FINDINGS

In CARDIA (n = 4724), NCDS58 (n = 7149) and BCS70 (n = 5967), autoregressive effects were stronger for BMI than for PD, meaning that carry-over effects from one occasion to the next were larger for BMI than for PD. Small interindividual correlations between traits of higher BMI and higher PD were identified among females (r_female<|0·2|) but not males (r_male<|0·03|) in CARDIA and NCDS. Cross-lagged effects were very weak or close to zero (standardized effects η<|0·1|).

INTERPRETATION

In the United States, depressive symptoms and BMI were positively correlated at the trait level among females. In the United Kingdom, relationships between PD and BMI were inconsistent between generations, with effect sizes of unlikely clinical importance, indicating negligible dominance of an intraindividual effect of BMI on PD or vice versa.

The Association Between Obesity and Social Isolation as Well as Loneliness in the Adult Population: A Systematic Review

PURPOSE

Obesity is associated with adverse health outcomes and can result in feelings of loneliness or social isolation, for example due to stigmatization. These factors are in turn associated with morbidity and mortality. Thus far, a systematic review is lacking with regard to the association between obesity, social isolation and loneliness. Therefore, our aim was to fill this gap in knowledge.

MATERIALS AND METHODS

Three established electronic databases (PubMed, PsycInfo, as well as CINAHL) were searched. Observational studies examining the link between obesity and loneliness or social isolation were included. Disease-specific samples were excluded.

RESULTS

In sum, six studies have been included. While some studies point to an association between obesity and increased loneliness levels, it should be acknowledged that findings are mixed. Study quality was quite high.

CONCLUSION

This systematic review showed that the literature is inconclusive and incomplete. Further research is required to shed further light on these associations. Moreover, studies from countries outside Europe, based on longitudinal data and using objective assessments of obesity, are urgently required. Gender differences should be further explored.

Association of serum adiponectin levels and body mass index with worsening depressive symptoms in elderly individuals: a 10-year longitudinal study

Objectives: Data regarding the association between adiponectin levels and body mass index (BMI) and long-term changes in depressive symptoms are limited and inconsistent. Thus, we investigated whether circulating adiponectin levels and BMI were independently and combinedly correlated to longitudinal changes in depressive symptoms.Methods: This prospective cohort study evaluated 269 elderly Japanese individuals aged ≥70 years who participated in the Tsurugaya Project conducted between 2002 and 2012. A short form of the Geriatric Depression Scale (GDS) was used to assess depressive status. Serum adiponectin levels were measured using an enzyme-linked immunosorbent assay or a latex particle-enhanced turbidimetric immunoassay. BMI was calculated as body weight (kg)/height (m²).Results: Multiple linear regression analysis revealed that baseline serum adiponectin levels were positively associated with changes in GDS scores (β = 0.14, P = 0.035). However, no association was observed after adjusting for BMI (β = 0.09, P = 0.185). Low BMI was associated with increased GDS scores at the 10-year follow-up (β = -0.14, P = 0.033). Participants with a combination of high adiponectin levels and low BMI had a 3.3-fold higher risk of worsening depressive symptoms than those with low adiponectin levels and high BMI (odds ratio: 3.35, 95% confidence interval: 1.60-7.00; P = 0.001).Conclusions: This longitudinal study indicated that high serum adiponectin levels and low BMI were both associated with worsening depressive symptoms among older Japanese individuals. Furthermore, the combination of high adiponectin levels and low BMI was associated with worsening depressive symptoms.

Prevalence and factors associated with obesity among the oldest old

PURPOSE

To determine the prevalence of overweight and obesity, and to identify factors associated with obesity, among the oldest old.

METHODS

For this study, data from follow-up (FU) wave 7 and FU wave 8 of the "Study on Needs, Health Service Use, Costs and Health-Related Quality of Life in a Large Sample of Oldest-Old Primary Care Patients (85+)" (AgeQualiDe) were used. At FU wave 7, the mean age was 88.9 years (SD: 2.9; 85-100 years). Body-mass-index (BMI) categories were defined according to the World Health Organization (WHO) thresholds: underweight (BMI < 18.5 kg/m²), normal weight (18.5 kg/m² ≤ BMI < 25 kg/m²), overweight (25 kg/m² ≤ BMI < 30 kg/m²), and obesity (BMI ≥ 30 kg/m²). Longitudinal regression analysis was used to determine factors associated with obesity.

RESULTS

At FU wave 7, 3.0 % were underweight, 48.9 % were normal weight, 37.9 % were overweight, and 10.2 % were obese. Regressions showed that the probability of obesity decreased with age (OR: 0.77 [95 % CI: .593-.999]) and less chronic conditions (OR: 1.32 [95 % CI: 1.11-1.57]). The probability of obesity was not associated with sex, educational level, marital status, social isolation, visual impairment, hearing impairment, depression, and dementia.

CONCLUSION

Nearly half of the individuals in very late life had excess weight. Thus, excess weight remains a major challenge, even in very old age. Given the demographic ageing in upcoming decades, this is an issue which we should be aware of.