Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants

Olfactory genes affect major depression in highly educated, emotionally stable, lean women: a bridge between animal models and precision medicine

Most current approaches to establish subgroups of depressed patients for precision medicine aim to rely on biomarkers that require highly specialized assessment. Our present aim was to stratify participants of the UK Biobank cohort based on three readily measurable common independent risk factors, and to investigate depression genomics in each group to discover common and separate biological etiology. Two-step cluster analysis was run separately in males (n = 149,879) and females (n = 174,572), with neuroticism (a tendency to experience negative emotions), body fat percentage, and years spent in education as input variables. Genome-wide association analyses were implemented within each of the resulting clusters, for the lifetime occurrence of either a depressive episode or recurrent depressive disorder as the outcome. Variant-based, gene-based, gene set-based, and tissue-specific gene expression test were applied. Phenotypically distinct clusters with high genetic intercorrelations in depression genomics were found. A two-cluster solution was the best model in each sex with some differences including the less important role of neuroticism in males. In females, in case of a protective pattern of low neuroticism, low body fat percentage, and high level of education, depression was associated with pathways related to olfactory function. While also in females but in a risk pattern of high neuroticism, high body fat percentage, and less years spent in education, depression showed association with complement system genes. Our results, on one hand, indicate that alteration of olfactory pathways, that can be paralleled to the well-known rodent depression models of olfactory bulbectomy, might be a novel target towards precision psychiatry in females with less other risk factors for depression. On the other hand, our results in multi-risk females may provide a special case of immunometabolic depression.

Associations between adiposity measures and depression and well-being scores: A cross-sectional analysis of middle- to older-aged adults

BACKGROUND

Obesity and mental health are significant global health concerns. Evidence has linked increased adiposity with depression and well-being; however, there is limited documented evidence in Ireland. Research also suggests lifestyle factors and disease conditions to be related to mental health. These may modulate relationships between adiposity and depression and well-being.

METHODS

This was a cross-sectional study of 1,821 men and women aged 46-73 years, randomly selected from a large primary care centre. Depression and well-being were assessed using the 20-item Centre for Epidemiologic Studies Depression Scale (CES-D) and the World Health Organization-Five (WHO-5) Well-Being Index. Linear regression analyses were performed to examine relationships between mental health scores (dependent variable) and adiposity (independent variable) defined using body mass index (BMI) and waist-height ratio while adjusting for demographic characteristics, lifestyle factors and disease conditions.

RESULTS

BMI and waist-height ratio had a significant positive association with depression scores and a significant inverse association with well-being scores in males and females. These associations were maintained following adjustment for demographic variables and lifestyle factors. In final models where disease conditions were adjusted for, BMI (β = 0.743, p < .001) and waist-height ratio (β = 0.719, p < .001) associations with the CES-D score remained significant. In stratified analyses, relationships between measures of adiposity and depression were found to be stronger in females (BMI: β = 0.806, p = .007; waist-height ratio: β = 0.768, p = .01) than males (BMI: β = 0.573, p = .049; waist-height ratio: β = 0.593, p = .044) but no effect modification was identified.

CONCLUSIONS

These findings suggest that increased adiposity is significantly associated with poorer mental health, independent of lifestyle factors and disease conditions. Targeted interventions for reducing depression should include better population-level weight management measures.

Measuring the relationship between body mass index and depression among Saudi adult population: A nationwide cross-sectional study

BACKGROUND

The prevalence of obesity and depression shows an accelerating trend with increased risk of morbidity and disability. The exact underlying relationship between them is unclear. We aimed to evaluate the prevalence of body mass index (BMI) and depression and their associations in a large sample of Saudi adults.

METHODS

We administered a nationwide cross-sectional web-based survey using a snowball sampling method among Saudi adults aged 18-60 years. We used a validated Arabic version of Beck's Depression Inventory-II (BDI-II) for depression assessment. We classified BMI into underweight, normal weight, overweight, and obesity. We used logistic regression analysis to determine the factors associated with depression.

RESULTS

Among 4,683 Saudi adults, different grades of depression were present in 43.3%, most (25.2%) with a mild condition. Overweight and obesity were present in 26.4% and 21%, respectively. We found a positive association between BMI and BDI-II score (ρ = 0.14, p = 0.006). BMI was significantly higher among those who were older, males, married, living in the Eastern region of Saudi Arabia, educated at a pre-university level, employed, at high family-income levels, smokers, and people with chronic diseases. Depression score was significantly higher among married, non-employees, non-smokers, people with chronic diseases, and those with BMI ≥ 25 kg/m2. Non-smoking, presence of chronic diseases, and being overweight or obese were significantly associated with depression.

CONCLUSIONS

Saudi adults were suffering from different grades of depression, overweight, and obesity. A positive association between BMI and BDI-II score was observed. Depression score did not differ by age, sex, geographical region, educational level, or family income. Non-smoking, presence of chronic diseases, and being overweight or obese were significantly associated with depression. Further longitudinal research is required to understand the factors underpinning causal relationships between BMI and depression, the subgroups' variation, and mediating strategies.

Weight change across adulthood in relation to the risk of depression

Background

Studies examining weight change patterns and depression are scarce and report inconsistent findings. This study-aimed to elucidate the association between weight change patterns and the risk of depression in a large, representative sample of US adults.

Methods

Data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 was analyzed. Five weight change groups were categorized: stable normal, weight loss, weight gain, maximum overweight, and stable obesity. Depression was ascertained using the validated Patient Health Questionnaire (PHQ-9) and depression was defined as PHQ score ≥ 10.

Results

A total of 17,556 participants were included. Compared with participants who maintained normal weight, stable obesity participants had increased risks of depression across adulthood from age 25 years to 10 years before the survey (OR = 1.61, 95% CI =1.23 to 2.11), in the 10 years period before the survey (OR = 2.15, 95% CI =1.71 to 2.70), and from age 25 years to survey (OR = 1.88, 95% CI =1.44 to 2.44). Weight gain was associated with an increased risk of depression from age 25 years to 10 years before the survey (OR = 1.71, 95% CI = 1.41 to 2.04), in the 10 years period before the survey (OR = 1.73, 95% CI = 1.35 to 2.21), and for the period from age 25 years to survey (OR = 1.83, 95% CI = 1.49 to 2.24). In the stratified analyses, we found statistically significant interactions with sex.

Conclusion

Our study suggested that stable obesity and weight gain across adulthood were associated with increased risks of depression.

Sex- and age-specific associations between cardiometabolic risk and white matter brain age in the UK Biobank cohort

Cardiometabolic risk (CMR) factors are associated with accelerated brain aging and increased risk for sex-dimorphic illnesses such as Alzheimer's disease (AD). Yet, it is unknown how CMRs interact with sex and apolipoprotein E-ϵ4 (APOE4), a known genetic risk factor for AD, to influence brain age across different life stages. Using age prediction based on multi-shell diffusion-weighted imaging data in 21,308 UK Biobank participants, we investigated whether associations between white matter Brain Age Gap (BAG) and body mass index (BMI), waist-to-hip ratio (WHR), body fat percentage (BF%), and APOE4 status varied (i) between males and females, (ii) according to age at menopause in females, and (iii) across different age groups in males and females. We report sex differences in associations between BAG and all three CMRs, with stronger positive associations among males compared to females. Independent of APOE4 status, higher BAG (older brain age relative to chronological age) was associated with greater BMI, WHR, and BF% in males, whereas in females, higher BAG was associated with greater WHR, but not BMI and BF%. These divergent associations were most prominent within the oldest group of females (66-81 years), where greater BF% was linked to lower BAG. Earlier menopause transition was associated with higher BAG, but no interactions were found with CMRs. In conclusion, the findings point to sex- and age-specific associations between CMRs and brain age. Incorporating sex as a factor of interest in studies addressing CMR may promote sex-specific precision medicine, consequently improving health care for both males and females.

Relationships between daily physical activity combinations and psychophysical health status of Italian breast cancer survivors

In breast cancer survivors (BCS), the contemporaneous increase of sedentary time and reduction of physical activity (PA) requires early attention because it has negative consequences for their health. Aims of the study were to investigate: a) the correlations between PA, sedentarism, and health-related measures; b) the association between different patterns of daily activity and health-related outcomes. Two hundred and nineteen BCS (50.98 ± 6.28) were selected for this study. Psychological, anthropometric, endocrine, sleeping, and both daily sedentary time and PA variables were considered. Sedentarism and PA have opposite correlations with anthropometric variables, anxiety, depression, morning salivary cortisol, and sleeping characteristics. The first favors pathological values and the latter favors normal values. Regression tree analysis showed the impact of different daily sedentary time and PA combinations on the investigated variables and allowed the individualization of their optimal combination for health. Our results could be useful to healthcare providers and BCS.

The menace of obesity to depression and anxiety prevalence

The incidence of depression and anxiety is amplified by obesity. Mounting evidence reveals that the psychiatric consequences of obesity stem from poor diet, inactivity, and visceral adipose accumulation. Resulting metabolic and vascular dysfunction, including inflammation, insulin and leptin resistance, and hypertension, have emerged as key risks to depression and anxiety development. Recent research advancements are exposing the important contribution of these different corollaries of obesity and their impact on neuroimmune status and the neural circuits controlling mood and emotional states. Along these lines, this review connects the clinical manifestations of depression and anxiety in obesity to our current understanding of the origins and biology of immunometabolic threats to central nervous system function and behavior.

Prolonged saturated, but not monounsaturated, high-fat feeding provokes anxiodepressive-like behaviors in female mice despite similar metabolic consequences

Obesity significantly increases the risk for anxiety and depression. Our group has recently demonstrated a role for nucleus accumbens (NAc) pro-inflammatory nuclear factor kappa-B (NFkB) signaling in the development of anxiodepressive-like behaviors by diet-induced obesity in male mice. The NAc is a brain region involved in goal-oriented behavior and mood regulation whose functions are critical to hedonic feeding and motivation. While the incidence of depression and anxiety disorders is significantly higher in women than in men, the use of female animal models in psychiatric research remains limited. We set out to investigate the impact of chronic intake of saturated and monounsaturated high-fat diets (HFD) on energy metabolism and on anxiety- and despair-like behaviors in female mice and to ascertain the contribution of NAc NFkB-mediated inflammation herein.

Adult C57Bl6N female mice were fed either a saturated HFD, an isocaloric monounsaturated HFD or a control low-fat diet for 24 weeks, after which metabolic profiling and behavioral testing for anxiodepressive-like behaviors were conducted. Plasma was collected at time of sacrifice for quantification of leptin, inflammatory markers as well as 17 β-estradiol levels and brains were harvested to analyze NAc expression of pro-inflammatory genes and estrogen-signaling molecules. In another group of female mice placed on the saturated HFD or the control diet for 24 weeks, we performed adenoviral-mediated invalidation of the NFkB signaling pathway in the NAc prior to behavioral testing.

While both HFDs provoked obesity and metabolic impairments, only the saturated HFD triggered anxiodepressive-like behaviors and caused marked elevations in plasma estrogen. This saturated HFD-specific behavioral phenotype could not be explained by NAc inflammation alone and was unaffected by NAc invalidation of the NFkB signaling pathway. Instead, we found changes in the expression of estrogen signaling markers. Such results diverge from the inflammatory mechanisms underlying diet- and obesity-induced metabolic dysfunction and anxiodepressive-like behavior onset in male mice and call attention to the role of estrogen signaling in diet-related anxiodepressive-like phenotypes in female mice.

Lifetime depression and age-related changes in body composition, cardiovascular function, grip strength and lung function: sex-specific analyses in the UK Biobank

Individuals with depression, on average, die prematurely, have high levels of physical comorbidities and may experience accelerated biological ageing. A greater understanding of age-related changes in physiology could provide novel biological insights that may help inform strategies to mitigate excess mortality in depression. We used generalised additive models to examine age-related changes in 15 cardiovascular, body composition, grip strength and lung function measures, comparing males and females with a lifetime history of depression to healthy controls. The main dataset included 342,393 adults (mean age = 55.87 years, SD = 8.09; 52.61% females). We found statistically significant case-control differences for most physiological measures. There was some evidence that age-related changes in body composition, cardiovascular function, lung function and heel bone mineral density followed different trajectories in depression. These differences did not uniformly narrow or widen with age and differed by sex. For example, BMI in female cases was 1.1 kg/m2 higher at age 40 and this difference narrowed to 0.4 kg/m2 at age 70. In males, systolic blood pressure was 1 mmHg lower in depression cases at age 45 and this difference widened to 2.5 mmHg at age 65. These findings suggest that targeted screening for physiological function in middle-aged and older adults with depression is warranted to potentially mitigate excess mortality.

Chronic diseases of lifestyle risk factor profiles of a South African rural community

Globally, chronic diseases of lifestyle account for millions of dollars spent annually on health. These diseases share similar risk factors including: physical inactivity, obesity, cigarette smoking, and hypertension among others. This study sought to assess risk factors for chronic diseases of lifestyle of a rural community in South Africa. This study used a survey design with data randomly collected using the WHO STEPS Instrument for Chronic Disease Risk Factor Surveillance from participants who attended routine checks from February to October 2018 from a trained healthcare practitioner. Informed consent was sought from all participants before the administration of the instrument. The research setting was the community Primary Health Center. About 54.0% of participants presented with no family history of hypertension but 19.7% had a family history of type II diabetes mellitus. More women were found to be hypertensive, with the majority (93.4%) monitoring their blood pressure. The study revealed that more men were current smokers. A large number of participants were engaged in a sedentary lifestyle with about one-third of the participants reported being obese. Physical inactivity, sedentary lifestyle, and hypertension were among the lifestyle-related risk factors for chronic diseases among residents of this rural community.

Obesity and Depression: Its Prevalence and Influence as a Prognostic Factor: A Systematic Review

OBJECTIVE

Depression and obesity are two conditions with great impact over global health. This is mainly due to their high prevalence and the morbidity and mortality associated to both. The main aim of the present systematic review is to study the association between obesity and depression and the prognostic implications derived from it.

METHODS

A literature review was performed in the PUBMED database. 18 articles were found (9 cross-sectional studies, 6 longitudinal studies and 3 clinical trials), which were reviewed by critical reading after which a summary of the main conclusions was written.

RESULTS

These selected articles confirmed that there is indeed a link between depression and obesity, although there are doubts as to the significance of this relationship. Depression is a risk factor for obesity, especially atypical depression and in African-American adolescent males. Obesity is a risk factor for depression, especially in women and for recurrent depressive disorder. The comorbidity between obesity and depression is a risk factor for a bad prognosis illness.

CONCLUSION

The relationship between both disorders has been analysed in scientific literature, obtaining significant associations but also contradictory results. The most current data demonstrates that there is a relationship between both entities, although there is no unanimity when it comes to establishing the meaning of this association.

Characteristics, comorbidities, and correlates of atypical depression: evidence from the UK Biobank Mental Health Survey

BACKGROUND

Depression is a heterogeneous disorder with multiple aetiological pathways and multiple therapeutic targets. This study aims to determine whether atypical depression (AD) characterized by reversed neurovegetative symptoms is associated with a more pernicious course and a different sociodemographic, lifestyle, and comorbidity profile than nonatypical depression (nonAD).

METHODS

Among 157 366 adults who completed the UK Biobank Mental Health Questionnaire (MHQ), N = 37 434 (24%) met the DSM-5 criteria for probable lifetime major depressive disorder (MDD) based on the Composite International Diagnostic Interview Short Form. Participants reporting both hypersomnia and weight gain were classified as AD cases (N = 2305), and the others as nonAD cases (N = 35 129). Logistic regression analyses were conducted to examine differences between AD and nonAD in depression features, sociodemographic and lifestyle factors, lifetime adversities, psychiatric and physical comorbidities.

RESULTS

Persons with AD experienced an earlier age of depression onset, longer, more severe and recurrent episodes, and higher help-seeking rates than nonAD persons. AD was associated with female gender, unhealthy behaviours (smoking, social isolation, low physical activity), more lifetime deprivation and adversity, higher rates of comorbid psychiatric disorders, obesity, cardiovascular disease (CVD), and metabolic syndrome. Sensitivity analyses comparing AD persons with those having typical neurovegetative symptoms (hyposomnia and weight loss) revealed similar results.

CONCLUSIONS

These findings highlight the clinical and public health significance of AD as a chronic form of depression, associated with high comorbidity and lifetime adversity. Our findings have implications for predicting depression course and comorbidities, guiding research on aetiological mechanisms, planning service use and informing therapeutic approaches.

Impact of major depression on cardiovascular outcomes for individuals with hypertension: prospective survival analysis in UK Biobank

OBJECTIVES

To assess whether a history of major depressive disorder (MDD) in middle-aged individuals with hypertension influences first-onset cardiovascular disease outcomes.

DESIGN

Prospective cohort survival analysis using Cox proportional hazards regression with a median follow-up of 63 months (702 902 person-years). Four mutually exclusive groups were compared: hypertension only (n=56 035), MDD only (n=15 098), comorbid hypertension plus MDD (n=12 929) and an unaffected (no hypertension, no MDD) comparison group (n=50 798).

SETTING

UK Biobank.

PARTICIPANTS

UK Biobank participants without cardiovascular disease aged 39-70 who completed psychiatric questions relating International Classification of Diseases-10 Revision (ICD-10) diagnostic criteria on a touchscreen questionnaire at baseline interview in 2006-2010 (n=134 860).

PRIMARY AND SECONDARY OUTCOME MEASURES

First-onset adverse cardiovascular outcomes leading to hospital admission or death (ICD-10 codes I20-I259, I60-69 and G45-G46), adjusted in a stepwise manner for sociodemographic, health and lifestyle features. Secondary analyses were performed looking specifically at stroke outcomes (ICD-10 codes I60-69 and G45-G46) and in gender-separated models.

RESULTS

Relative to controls, adjusted HRs for adverse cardiovascular outcomes were increased for the hypertension only group (HR 1.36, 95% CI 1.22 to 1.52) and were higher still for the comorbid hypertension plus MDD group (HR 1.66, 95% CI 1.45 to 1.9). HRs for the comorbid hypertension plus MDD group were significantly raised compared with hypertension alone (HR 1.22, 95% CI 1.1 to 1.35). Interaction measured using relative excess risk due to interaction (RERI) and likelihood ratios (LRs) were identified at baseline (RERI 0.563, 95% CI 0.189 to 0.938; LR p=0.0116) but not maintained during the follow-up.

LIMITATIONS

Possible selection bias in UK Biobank and inability to assess for levels of medication adherence.

CONCLUSIONS

Comorbid hypertension and MDD conferred greater hazard than hypertension alone for adverse cardiovascular outcomes, although evidence of interaction between hypertension and MDD was inconsistent over time. Future cardiovascular risk prediction tools may benefit from the inclusion of questions about prior history of depressive disorders.

Fat mass and obesity-associated (FTO) rs9939609 polymorphism modifies the relationship between body mass index and affective symptoms through the life course: a prospective birth cohort study

Although bi-directional relationships between high body mass index (BMI) and affective symptoms have been found, no study has investigated the relationships across the life course. There has also been little exploration of whether the fat mass and obesity-associated (FTO) rs9939609 single-nucleotide polymorphism (SNP) is associated with affective symptoms and/or modifies the relationship between BMI and affective symptoms. In the MRC National Survey of Health and Development (NSHD), 4556 participants had at least one measure of BMI and affective symptoms between ages 11 and 60-64 years. A structural equation modelling framework was used with the BMI trajectory fitted as latent variables representing BMI at 11, and adolescent (11-20 years), early adulthood (20-36 years) and midlife (36-53 years) change in BMI. Higher levels of adolescent emotional problems were associated with greater increases in adult BMI and greater increases in early adulthood BMI were associated with higher subsequent levels of affective symptoms in women. The rs9939609 risk variant (A allele) from 2469 participants with DNA genotyping at age 53 years showed mostly protective effect modification of these relationship. Increases in adolescent and early adulthood BMI were generally not associated with, or were associated with lower levels, of affective symptoms in the FTO risk homozygote (AA) group, but positive associations were seen in the TT group. These results suggest bi-directional relationships between higher BMI and affective symptoms across the life course in women, and that the relationship could be ameliorated by rs9939609 risk variant.

Prevalence and Association of Obesity with Self-Reported Comorbidity: A Cross-Sectional Study of 1321 Adult Participants in Lasbela, Balochistan

Association of fatness with chronic metabolic diseases is a well-established fact, and a high prevalence of risk factors for these disorders has increasingly been reported in the third world. In order to incorporate any preventive strategies for such risk factors into clinical practice, decision-makers require objective evidence about the associated burden of disease. A cross-sectional study of 1321 adults from one of the districts of Balochistan, among the most economically challenged areas of Pakistan, was carried out for the measures of fatness and self-reported comorbidities. Body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) were measured and demographic information and self-reported comorbidities were documented. The prevalence of obesity was 4.8% (95% CI: [3.8, 6.1]) and 21.7% (95% CI: [19.5, 24.0]), as defined by the World Health Organization (WHO) international and Asia/Asia-Pacific BMI cut-offs, respectively. The proportion exhibiting comorbidity increased with increasing levels of fatness in a dose-response relationship (p value < .001). An interaction of weight status with gender was observed to produce a significantly (p = .033) higher comorbidity among overweight women (odds ratio (OR) = 6.1 [1.2, 31.7]) compared with overweight men (OR = 1.1 [0.48, 2.75], p = .762).

The interaction effect of body mass index and age on fat-free mass, waist-to-hip ratio, and soft lean mass

BACKGROUND

Research has shown that body mass index (BMI) does not take into consideration the gender and ethnicity. The primary purpose of this study was to examine the interaction effect of the BMI and age on fat-free mass (FFM), waist-to-hip ratio (WHR), and soft lean mass (SLM). The secondary purpose was to evaluate the practical significance of the findings by examining effect sizes.

MATERIALS AND METHODS

The study was comparative in nature and employed a factorial design. Due to nonexperimental nature of the investigation, no causal inferences were drawn. The nonprobability sample consisted of 19,356 adults. Analysis of the data included factorial analysis of variance, analysis of simple effects, calculation of mean difference effect sizes, and data transformation. The Statistical Package for the Social Sciences version 22 was employed for the purpose of data manipulation and analysis.

RESULTS

The BMI by age interaction effects on FFM, F (10, 19,338) = 28.26, P < 0.01, on WHR, F (10, 19,338) = 18.46, P < 0.01, and on SLM, F (10, 19,338) = 14.65, P < 0.01, was statistically significant and ordinal in nature. Analysis of the effect sizes, ranging from 0.30 to 1.20, showed that the BMI and age influenced the WHR but their interaction effects on FFM and SLM, ranging from 0.04 to 0.36 and 0.03 to 0.33, respectively, were mainly negligible.

CONCLUSION

Based on the examination of the statistical and practical significance of the results, it is concluded that the BMI and age together can influence the WHR but their interaction effect on the FFM and SLM is questionable.

Association between body size, weight change and depression: systematic review and meta-analysis

BackgroundThe association between body size, weight change and depression has not been systematically summarised, especially for individuals who are underweight.AimsTo conduct a systematic review and a meta-analysis to examine the association between indices of body size, weight change and depression.MethodA total of 183 studies were selected. Fully adjusted hazard ratios (HRs) or odds ratios (ORs) were extracted. A total of 76 studies contributed to data synthesis with a random-effect model, and subgroup analyses were conducted to evaluate the effect of potential moderators.ResultsIn cohort studies, underweight at baseline increased the risk of subsequent depression (OR = 1.16, 95% CI 1.08-1.24). Overweight (BMI 25-29.9 kg/m²) showed no statistically significant relationship with depression overall; however, the subgroup analyses found different results according to gender (men: OR = 0.84, 95% CI 0.72-0.97, women: OR = 1.16, 95% CI 1.07-1.25). In cross-sectional designs, obesity with BMI >40 kg/m² showed a greater pooled odds ratio than obesity with BMI >30 kg/m²ConclusionsBoth underweight and obesity increase the risk of depression. The association between overweight and depression differs by gender.

Association of Adiposity and Mental Health Functioning across the Lifespan: Findings from Understanding Society (The UK Household Longitudinal Study)

BACKGROUND

Evidence on the adiposity-mental health associations is mixed, with studies finding positive, negative or no associations, and less is known about how these associations may vary by age.

OBJECTIVE

To examine the association of adiposity -body mass index (BMI), waist circumference (WC) and percentage body fat (BF%)- with mental health functioning across the adult lifespan.

METHODS

Data from 11,257 participants (aged 18+) of Understanding Society: the UK Household Longitudinal Study (waves 2 and 3, 5/2010-7/2013) were employed. Regressions of mental health functioning, assessed by the Mental Component Summary (MCS-12) and the General Health Questionnaire (GHQ-12), on adiposity measures (continuous or dichotomous indicators) were estimated adjusted for covariates. Polynomial age-adiposity interactions were estimated.

RESULTS

Higher adiposity was associated with poorer mental health functioning. This emerged in the 30s, increased up to mid-40s (all central adiposity and obesity-BF% measures) or early 50s (all BMI measures) and then decreased with age. Underlying physical health generally accounted for these associations except for central adiposity, where associations remained statistically significant from the mid-30s to 50s. Cardiovascular, followed by arthritis and endocrine, conditions played the greatest role in attenuating the associations under investigation.

CONCLUSIONS

We found strong age-specific patterns in the adiposity-mental health functioning association that varied across adiposity measures. Underlying physical health had the dominant role in attenuating these associations. Policy makers and health professionals should target increased adiposity, mainly central adiposity, as it is a risk factor for poor mental health functioning in those aged between mid-30s to 50 years.

Temperament as a risk factor for obesity and affective disorders in obese patients in a Polish sample

AIMS

The main purpose of the study was to investigate temperament traits postulated in the Regulative Theory of Temperament that may contribute as risk factors to obesity and, potentially, to affective disorders in obese patients.

METHOD

A cross-sectional design was applied in this study. The study was conducted on a group of 163 obese patients (BMI > 35) that included 59 men and 104 women compared with a control group that included 89 men and 113 women who were non-obese. Temperament was assessed using the formal characteristics of behaviour-temperament inventory (FCB-TI).

RESULTS

Obese patients compared with a control group scored lower in briskness, endurance and activity, and higher in perseveration. When compared with obese men, obese women had higher levels of perseveration and emotional reactivity, and showed lower levels of activity.

CONCLUSIONS

Temperament traits, including low levels of briskness, endurance and activity, may serve as risk factors for the development of obesity. Low levels of these traits with accompanying high levels of perseveration may potentially contribute as risk factors for affective disorders in obese patients. The findings suggest that obese women are at somewhat greater risk than obese men for the development of affective disorders.

Chronic multisite pain in major depression and bipolar disorder: cross-sectional study of 149,611 participants in UK Biobank

BACKGROUND

Chronic pain has a strong association with major depressive disorder (MDD), but there is a relative paucity of studies on the association between chronic multisite pain and bipolar disorder (BD). Such studies are required to help elucidate the complex biological and psychological overlap between pain and mood disorders. The aim of this study is to investigate the relationship between chronic multisite pain and mood disorder across the unipolar-bipolar spectrum.

METHODS

We conducted a cross-sectional study of 149,611 UK Biobank participants. Self-reported depressive and bipolar features were used to categorise participants into MDD and BD groups and a non-mood disordered comparison group. Multinomial logistic regression was used to establish whether there was an association between extent of chronic pain (independent variable) and mood disorder category (dependent variable), using no pain as the referent category, and adjusting for a wide range of potential sociodemographic, lifestyle and comorbidity confounders.

RESULTS

Multisite pain was significantly more prevalent in participants with BD and MDD, for example, 4-7 pain sites: BD 5.8%, MDD 4.5%, and comparison group 1.8% (p < 0.001). A relationship was observed between extent of chronic pain and risk of BD and persisted after adjusting for confounders (relative to individuals with no chronic pain): 2-3 sites RRR of BD 1.84 (95% CI 1.61, 2.11); 4-7 sites RRR of BD 2.39 (95% CI 1.88, 3.03) and widespread pain RRR of BD 2.37 (95% CI 1.73, 3.23). A similar relationship was observed between chronic pain and MDD: 2-3 sites RRR of MDD 1.59 (95% CI 1.54, 1.65); 4-7 sites RRR of MDD 2.13 (95% CI 1.98, 2.30); widespread pain RRR of MDD 1.86 (95% CI 1.66, 2.08).

CONCLUSIONS

Individuals who report chronic pain and multiple sites of pain are more likely to have MDD and are at higher risk of BD. These findings highlight an important aspect of comorbidity in MDD and BD and may have implications for understanding the shared neurobiology of chronic pain and mood disorders.