Diet and physical activity in the association between depression and metabolic syndrome: Constances study

Psychological well-being factors and the likelihood of transitioning from overweight and obesity to normal weight at population level: Evidence from two cohort studies of UK adults

We examined the prospective associations between psychological well-being related factors (depressive symptoms, life satisfaction, self-efficacy) and transitioning from overweight and obesity to normal body weight (vs persistence of overweight and obesity) and change in body mass index (BMI). We used multiple baselines and follow-ups from the National Child and Development Study (NCDS; 8513 observations) and the British Cohort Study (BCS; 11,113 observations). A proportion (8%-9%) of participants with overweight and obesity (BMI ≥25) at baseline transitioned into normal weight (BMI 18.5-<25) by follow-ups. There was no evidence of better psychological well-being related factors (e.g. lower depressive symptoms) being significantly associated with a transition from overweight and obesity to normal weight or reduced BMI in each cohort and pooled cohort analyses. However, age and gender were associated with transition. At population level, better psychological well-being may not be associated with likelihood of weight loss once obesity is developed in adulthood.

Obesity, psychological well-being related measures, and risk of seven non-communicable diseases: evidence from longitudinal studies of UK and US older adults

BACKGROUND

We examined the role of psychological well-being related measures in explaining the associations between obesity and increased risk of non-communicable diseases (NCDs: hypertension, heart disease, stroke, diabetes, arthritis, cancer, and memory-related disease) in older adults.

METHODS

Data were from the English Longitudinal Study of Ageing (ELSA), UK (baseline: Wave 4-2008/2009; n = 8127) and the Health and Retirement Study (HRS), US (baseline: Waves 9 and 10-2008/2010; n = 12,477). Objective body mass index was used to define obesity. A range of psychological well-being related measures (e.g., depressive symptoms, life satisfaction) was available in ELSA (n = 7) and HRS (n = 15), and an index of overall psychological well-being was developed separately in each study. NCDs were from a self-reported doctor diagnosis and/or other assessments (e.g., biomarker data) in both studies; and in ELSA, NCDs from linked hospital admissions data were examined. Longitudinal associations between obesity status, psychological well-being measures, and NCDs were examined using Cox proportional hazard models (individual NCDs) and Poisson regression (a cumulative number of NCDs). Mediation by psychological well-being related measures was assessed using causal mediation analysis.

RESULTS

Obesity was consistently associated with an increased prospective risk of hypertension, heart disease, diabetes, arthritis, and a cumulative number of NCDs in both ELSA and HRS. Worse overall psychological well-being (index measure) and some individual psychological well-being related measures were associated with an increased prospective risk of heart disease, stroke, arthritis, memory-related disease, and a cumulative number of NCDs across studies. Findings from mediation analyses showed that neither the index of overall psychological well-being nor any individual psychological well-being related measures explained (mediated) why obesity increased the risk of developing NCDs in both studies.

CONCLUSION

Obesity and psychological well-being may independently and additively increase the risk of developing NCDs.

ASSOCIATION BETWEEN ANXIETY AND DEPRESSION IN METABOLIC DYSFUNCTION-ASSOCIATED STEATOTIC LIVER DISEASE (MASLD)

BACKGROUND

This study aimed to assess the frequency and intensity of anxious and depressive symptoms in patients diagnosed with metabolic dysfunction-associated steatotic liver disease (MASLD).

METHODS

This is a descriptive and cross-sectional study, resulting from 106 patients from the Hepatology outpatient clinic at the Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, Brazil without a history of alcohol abuse, verified by the alcohol use disorders identification test (AUDIT). These were assessed using the sociodemographic data sheet, Hospital Anxiety and Depression Scale (HADS), Hamilton Anxiety Rating Scale (HAM-A), and Hamilton Depression Scale (HAM-D).

RESULTS

A total of 69.8% were women and 30.2% were men, with a mean age of 61 years. The majority (71.7%) discovered MASLD through routine exams, presenting as comorbidities: Type 2 diabetes mellitus (59.4%), Dyslipidemia (49.1%), Arterial hypertension (68.9%), Obesity (61.3%) and Metabolic syndrome [MetS (63.2%)]. The HADS scale indicates 34% probability of anxiety and 33% depressive symptoms. The Hamilton's scales of intensity indicates 63.9% severe anxiety and 54.3% severe depression. There is also a relationship between anxiety, depression and the female gender, as well as between depression and MetS.

CONCLUSION

The findings point to the presence of anxiety and depression in more than one third of MASLD patients, most with severe symptoms. The group is concentrated in the elderly, with many comorbidities, including MetS. There was a positive correlation between anxiety, depression and being female; also, being significant between MetS and depression.

The association between physical activities combined with dietary habits and cardiovascular risk factors

Objectives

The aim of this study was to investigate the association between physical activities combined with dietary habits and cardiovascular risk factors in adults from Nanjing, China.

Methods

The cross-sectional survey conducted in 2017 involved a sample of 60 283 individuals aged ≥18 years in Nanjing municipality, China. The sampling method used was multistage stratified cluster sampling. The primary outcomes from multivariate logistic regression analysis with adjusted potential confounders were the relationships between physical activities combined with dietary habits and cardiovascular risk variables. Relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S) were used to assess an additive interaction between dietary habits and physical activities.

Results

After adjusting potential confounders, cardiovascular risk factors were significantly associated with the association of physical inactivity and unhealthy diet, with the highest odds ratios (ORs) for low density lipoprotein-cholesterol (HLDL-c) (1.64, 95% CI [1.47, 1.84]) and hypertension (1.55, 95% CI [1.46, 1.64]). Additive interactions between physical inactivity and unhealthy diet were found in on cardiovascular risk factors of higher low-density lipoprotein-cholesterol (HLDL-c) (S, 2.57; 95% CI [1.27, 5.21]), type 2 diabetes (T2D) (S, 1.96; 95% CI [1.23, 3.13]), dyslipidemia (S, 1.69; 95% CI [1.08, 2.66]) and hypertension (S, 1.46; 95% CI [1.12, 1.89]). Their RERI was 0.39 (95% CI [0.18, 0.60]), 0.22 (95% CI [0.09, 0.35]), 0.11 (95% CI [0.03, 0.19]) and 0.17 (95% CI [0.06, 0.28]), respectively. OR of being HLDL-c, T2D, hypertension and dyslipidemia in participants of physical inactivity and unhealthy diet was 24%, 15%, 11% and 8.3%, respectively. Multiplicative interaction was detected in obesity, hypertension, T2D and HLDL-c.

Conclusion

An unhealthy diet and physical inactivity were strongly linked to cardiovascular risk factors. This study also showed that an unhealthy diet and physical inactivity combined to produce an additive effect on T2D, hypertension, HLDL-c, and dyslipidemia, suggesting a higher risk than the total of these factors, especially HLDL-c. Preventive strategies aimed at reducing cardiometabolic risks such as hypertension, T2D, HLDL-c, and dyslipidemia are necessary for targeting physical inactivity and unhealthy diet.

Prevalence and risk factors for abnormal glucose metabolism in first-episode and drug-naïve major depressive disorder outpatients with comorbid anxiety: A cross-sectional study from a large sample of the Chinese Han population

BACKGROUND

Both abnormal glucose metabolism and anxiety have been reported to be common in major depressive disorder (MDD). However, few studies have explored glucose disturbances in first-episode and drug-naive (FEDN) MDD patients with anxiety. The purpose of this study was to examine the prevalence and risk factors of glucose disturbance in FEND MDD patients comorbid with anxiety.

METHODS

1718 FEDN MDD patients were included in this study. The positive subscale of the Positive and Negative Syndrome Scale (PANSS), Hamilton Anxiety Rating Scale (HAMA), and Hamilton Depression Rating Scale (HAMD) were used to measure psychotic, anxiety and depressive symptoms respectively. Sociodemographic and biochemical indicators were also collected.

RESULTS

The prevalence of glucose disorders in MDD patients combined with anxiety was 15.7 %, significantly higher than in MDD patients without anxiety symptoms (7.1 %). Glucose disturbances were associated with HAMD score, HAMA score, thyroid-stimulating hormone (TSH), thyroid peroxidase antibody (TPOAb), anti-thyroglobulin (TGAb), total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein (LDL-C), fasting blood glucose (FBG), systolic blood pressure (SBP), diastolic blood pressure (DBP), suicide attempts, and psychotic symptoms. Further logistic regression showed that illness duration, TSH, TGAb, and TPOAb levels were correlates of glucose disturbances in MDD patients with anxiety.

LIMITATIONS

No causal relationship could be drawn due to the cross-sectional design.

CONCLUSIONS

Our findings suggest that TSH, TGAb and TPOAb may be promising biomarkers of glucose disturbances in MDD comorbid with anxiety, suggesting the importance of regular assessment of thyroid function parameters for abnormal glucose metabolism prevention.

Major dietary patterns and dietary inflammatory index in relation to dyslipidemia using cross-sectional results from the RaNCD cohort study

Dyslipidemia can increase the risk of heart attack and stroke due to the restriction of blood flow through the blood vessels. Dietary modification is an appropriate approach to reducing this phenomenon. This cross-sectional study aimed to evaluate major dietary patterns and the dietary inflammatory index (DII) in relation to dyslipidemia. 5954 participants in the Ravansar non-communicable diseases (RaNCD) cohort study were eligible for this study. Dyslipidemia was diagnosed based on the lipid profile under consideration of the RaNCD physician. Dietary patterns were assessed by principal component analysis. The three identified dietary patterns included (1) plant-based pattern; (2) high protein and sugar pattern; and (3) energy-dense dense pattern. DII was also calculated based on the dietary information from a validated semi-quantitative food frequency questionnaire (FFQ). We found that higher adherence to DII was significantly associated with increased odds of dyslipidemia after adjusting for age, sex, and physical activity (OR: 1.24; CI 95% 1.09-1.42). Additionally, higher adherence to the high protein and sugar diet and an energy-dense diet was significantly associated with higher odds for dyslipidemia (OR: 1.31; CI 95% 1.16-1.49) and (OR: 1.28; CI 95% 1.12-1.46). Nevertheless, according to our results, following plant-based diet had no association with dyslipidemia in both crude and adjusted models. Our findings revealed that greater adherence to DII, a high-protein, high-sugar diet, and an energy-dense diet can have undesirable effects on dyslipidemia.

Sex related differences in muscle health and metabolism in chronic obstructive pulmonary disease

BACKGROUND & AIMS

Sex differences in muscle function and mass, dyspnea, and clinical outcomes have been observed in patients with Chronic Obstructive Pulmonary Disease (COPD) despite a similar level of airflow obstruction. Protein and amino acid metabolism is altered in COPD, however, it remains unclear whether a difference in metabolic signature exists between males and females with COPD that may explain the observed differences in muscle health and clinical outcomes.

METHODS

In 234 moderate to severe COPD patients (males/females: 113/121) and 182 healthy controls (males/females: 77/105), we assessed, besides presence of comorbidities and clinical features, muscle function by handgrip and leg dynamometry, and body composition by dual-energy x-ray absorptiometry. In the postabsorptive state, a mixture of 18 stable isotopes of amino acids was administered by pulse and arterialized blood was sampled for 2 h. Amino acid concentrations and enrichments were analyzed by LC-MS/MS to calculate whole body (net) protein breakdown (WBnetPB) and whole body production (WBP) rates (μmol/hour) of the amino acids playing a known role in muscle health. Statistics was done by ANCOVA to examine the effects of sex, COPD, and sex-by-COPD interaction with as covariates age and lean mass. Significance was set as p < 0.05.

RESULTS

Lung function was comparable between males and females with COPD. Being a female and presence of COPD were independently associated with lower appendicular lean mass, muscle strength, and WBnetPB (p < 0.05). Being a male was associated with higher visceral adipose tissue, C-reactive protein (CRP) (p < 0.05), and higher prevalence of heart failure and obstructive sleep apnea. Sex-by-COPD interactions were found indicating lower fat mass (p = 0.0005) and WBPs of phenylalanine (measure of whole body protein turnover) and essential amino acids (p < 0.05), particularly in COPD females. Higher visceral adipose tissue (p = 0.025), CRP (p < 0.0001), and WBP of tau-methylhistidine (p = 0.010) (reflecting enhanced myofibrillar protein breakdown) were observed in COPD males.

CONCLUSIONS

Presence of sex specific changes in protein and amino acid metabolism and cardiometabolic health in COPD need to be considered when designing treatment regimens to restore muscle health in males and females with COPD.

CLINICAL TRIAL REGISTRY

www.

CLINICALTRIALS

gov, NCT01787682, NCT01624792, NCT02157844, NCT02065141, NCT02770092, NCT02780219, NCT03327181, NCT03796455, NCT01173354, NCT01154400.

Peripheral inflammation is linked with emotion and mental health in people with obesity. A "head to toe" observational study

Background

Obesity is a significant worldwide health problem that is linked with mental health. The elucidation of the possible overlapping biochemical mechanism(s) involved in inflammation and oxidative stress is imperative to better understand and address obesity and related metabolic disorders. The aim of the study was to investigate the associations between inflammatory and oxidative stress profiles with parameters that reflect metabolic, emotional, and mental health in a Greek metabolically unhealthy obese cohort.

Methods

In total, 122 metabolically unhealthy people with obesity were recruited. Anthropometric measurements, biochemical, inflammatory and oxidative stress markers were assessed. Quality of life was evaluated through questionnaires for insomnia, self-esteem, depression, physical and mental health.

Results

The inflammatory biomarker tumor necrosis factor-alpha (TNF-α) and the ratio oxidized low-density lipoprotein/low-density lipoprotein (oxLDL/LDL) were higher in hypertensive (p=0.002, p=0.001 respectively) and hyperglycemic subjects (p=0.017, p=0.001 respectively). Furthermore TNF-α (p<0.001), oxLDL/LDL (p<0.001) and oxLDL/high-density lipoprotein (HDL) (p=0.016) increased significantly with the increase of metabolic syndrome components. Finally, a negative association between interleukin-6 (IL-6) and Rosenberg Self-Esteem Scale (Beta=-0.019, p=0.019) and a positive association between TNF-α and the Center for Epidemiologic Studies Depression Scale Revised (Beta=0.003, p=0.015) were found.

Conclusions

The results of the study suggest that obesity-related systemic inflammation is associated with worse self-esteem and depression symptoms, indicating an overlapping mechanism which can be utilized to the management of obesity.

The role of dietary inflammatory index and physical activity in depressive symptoms: Results from NHANES 2007-2016

BACKGROUND

Depression is a major public health problem. This study was aimed to analyze the relationship between dietary inflammation index (DII), physical activity, and depressive symptoms, and to explore the effect of different lifestyles on depressive symptoms by combining DII and physical activity to form four lifestyle groups.

METHODS

This study analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2016. A total of 21,785 subjects were involved. Depressive symptoms and dietary inflammation were measured by the Patient Health Questionnaire (PHQ-9) and Energy-adjusted Dietary Inflammatory Index, respectively. The participants were divided subgroups by different physical activity combined pro-inflammatory or anti-inflammatory diet groups.

RESULTS

Both pro-inflammatory diet and inactivity were positively associated with depressive symptoms. Compared with the anti-inflammatory diet & active group, the risk of depressive symptoms was 2.061 times higher in the pro-inflammatory diet & inactive group, 1.351 times higher in the pro-inflammatory diet & active group, and 1.603 times higher in the anti-inflammatory diet & inactive group. Physical inactivity was associated with a higher risk of depressive symptoms than a pro-inflammatory diet. Females and the 20-39 age group showed a strong association between lifestyles and depressive symptoms.

LIMITATIONS

Because of the cross-sectional study, no causal conclusions could be drawn. Moreover, PHQ-9 is a relatively basic method of identifying depressive symptoms, more and further research is needed.

CONCLUSIONS

Both a pro-inflammatory diet and physical inactivity were associated with higher risk of depressive symptoms, especially for young and female population.

Housing conditions and changes in professional activity during lockdown and the risk of prevalent and incident depression: Findings from the CONSTANCES cohort

BACKGROUND

Material conditions of lockdown and changes in regular functioning may have played a role on depressive manifestations. We aimed to examine the association between housing conditions and changes in professional activity and depression during the first COVID-19 outbreak in France.

METHOD

Participants of the CONSTANCES cohort were followed online. A first questionnaire covered the lockdown period (assessing housing conditions and changes in professional activity), and a second the post-lockdown period (assessing depression using the Center of Epidemiologic Studies Depression-Scale (CES-D)). Incident depression was also estimated (with a previous CES-D measure). Logistic regression models were applied.

RESULTS

22,042 participants (median age 46 years, 53.2 % women) were included and 20,534 had a previous CES-D measure. Depression was associated with female gender, lower household income and past history of depression. A negative gradient between the number of rooms and the likelihood of depression was consistently observed (OR = 1.55 95 % [1.19-2.00] for one room, OR = 0.76 [0.65-0.88] for seven rooms), while a U-shape relationship was observed with the number of people living together (OR = 1.62 [1.42-1.84] for living alone, OR = 1.44 [1.07-1.92] for six persons). These associations were also observed with incident depression. Changes in professional activity were associated with depression (Started distance working (OR = 1.33 [1.17-1.50]). Starting distance working was also associated with incident depression (OR = 1.27 [1.08-1.48]).

LIMITATION

A cross-sectional design was used.

CONCLUSION

The consequences of lockdown on depression may vary depending on living conditions and changes in professional activity, including distance working. These results could help to better identify vulnerable people to promote mental health.

Association of comorbid depression and obesity with cardiometabolic multimorbidity among middle-aged and older Chinese adults: A cohort study

PURPOSE

To evaluate the association of comorbid depression and obesity with the risk of incident cardiometabolic multimorbidity among middle-aged and older Chinese adults.

METHODS

This cohort study extracted data from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study (CHARLS). Depression was confirmed by the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) with a cut-off score ≥10. Obesity was defined as a body mass index ≥28 kg/m². Participants were categorized into four groups based on depression and obesity status at baseline, i.e., with neither condition, depression only, obesity only, and with both conditions. Cardiometabolic multimorbidity was defined as the coexistence of two or more of heart diseases, stroke, and diabetes mellitus. Logistic regression models were established to estimate the associations.

RESULTS

A total of 9,308 participants without cardiometabolic multimorbidity at baseline were included (mean [SD] age, 58.8 [9.0] years; 4,449 [47.8%] were males). During four-year of follow-up, 349 (3.8%) participants developed cardiometabolic multimorbidity. Compared to participants without depression or obesity, comorbid depression and obesity was associated with greater risk of cardiometabolic multimorbidity (adjusted OR: 4.79, 95% CI: 3.09-7.43) than that in participants with depression alone (adjusted OR: 1.84, 95% CI: 1.37-2.46) or obesity alone (adjusted OR: 2.26, 95% CI: 1.48-3.45). The findings were consistent in different gender and age groups.

CONCLUSIONS

Comorbid depression and obesity was associated with excessive risk of cardiometabolic multimorbidity. Intervention targeting at individuals with both depression and obesity might have substantial benefit in minimizing the risk of cardiometabolic multimorbidity.

PRO-DEMET Randomized Controlled Trial on Probiotics in Depression—Pilot Study Results

There is a pressing need to identify new treatment options for depression and its comorbidities. Depression often coexists with metabolic complications, and the two may share a pathophysiological overlap, including inflammation and microbiota changes. Microbiota interventions (e.g., probiotics) may represent a safe and easy-to-use treatment option as an adjunctive therapy in patients only partially responsive to pharmacologic treatment. (1) Objective: The paper presents the results of a feasibility and pilot study. The study is an internal part of a randomized controlled trail (RCT) of the effect of probiotic supplementation on psychometric, anthropometric, metabolic, and inflammatory parameters in adult patients with depressive disorders depending on the presence of metabolic syndrome. (2) Methods: The trial has a four-arm, parallel-group, prospective, randomized, double-blind, controlled design. Sixty participants received a probiotic preparation containing Lactobacillus helveticus Rosell®-52 and Bifidobacterium longum Rosell®-175 over 60 days. The feasibility of the study design was assessed, as well as the rates of recruitment, eligibility, consent, and study completion. The following were assessed: depressive, anxiety and stress symptoms, quality of life, blood pressure, body mass index and waist circumference, complete blood count with differential, serum levels of C-reactive protein, high-density lipoprotein cholesterol, triglycerides, fasting glucose, some secondary markers of inflammation and metabolic health, as well as noninvasive biomarkers of liver fibrosis (APRI and FIB-4). (3) Results: The study was found to be generally feasible. The eligibility rate was 52% of recruited participants with 80% completing the study protocol. No differences in sociodemographic or anthropometric factors or basic laboratory findings were found between the placebo and probiotic group at the start of the intervention period. Importantly, the proportion of recruited participants fulfilling the criteria of metabolic syndrome was too low. (4) Conclusions: Whilst the whole study protocol was feasible, some different timepoint procedures require modification. The major weakness of the recruitment methods was that the percentage of metabolic arms participants was insufficient. Overall, the full RCT design on probiotics in depression with vs. without metabolic syndrome was shown to be feasible with little modification.

Does Better Diet Quality Offset the Association between Depression and Metabolic Syndrome?

Several studies have shown that depression increases the risk of metabolic syndrome (MetS), which is often exacerbated by the fact that both exist concurrently. People with depression are more likely to have unhealthy eating habits, which can eventually trigger the development of MetS. This study was to investigate whether diet quality modifies the association between depression and MetS in a total of 13,539 Korean adults aged 19 to 80 from 2014, 2016 and 2018 Korean National Health and Nutrition Examination Surveys. Depression was assessed by the Patient Health Questionnaire-9 (PHQ-9) and subjects were divided into subgroups according to the PHQ-9 scores: normal (<5), mild (5-9), and moderate-to-severe (≥10) groups. Diet quality was measured by the Korean Healthy Eating Index (KHEI). A complex sample multiple logistic regression stratified by tertiles of KHEI scores was used to explore whether diet quality modifies an association between depression severity and metabolic syndrome. Depression severity was positively associated with the risk of MetS (p trend = 0.006) after adjustment for potential confounders. Only the lowest diet quality, moderately-to-severely depressed group, showed a higher risk of MetS (OR: 1.72, 95% CI: 1.24-2.40) compared to the normal group. Our results suggest that healthy diet quality could offset the positive relationship between depression and MetS in the general Korean adult population. Encouraging a healthy diet regime can improve not only physical health but also the mental state of the general public.

Metabolic syndrome and risk of death in older adults with major psychiatric disorders: Results from a 5-year prospective multicenter study

OBJECTIVES

No study has explored the association of individual components of metabolic syndrome with mortality in older patients with psychiatric disorders. In this report, we examined whether metabolic syndrome or any of its components predicted mortality in a cohort of older adults with psychiatric disorders.

METHODS

We used data from a multicenter 5-year prospective cohort, including 634 in- and out-patients with schizophrenia, bipolar or major depressive disorder. Metabolic syndrome was assessed at baseline following NCEP-ATPIII criteria. Cause of death was categorized as cardiovascular disorder (CVD) mortality, non-CVD disease-related mortality (e.g., infections), suicide and accident.

RESULTS

122 participants (44.0%) were diagnosed with metabolic syndrome at baseline. In the full sample, there was no significant association between metabolic syndrome or any of its components with all-cause, CVD and non-CVD mortality. However, for the subpopulation of older adults with major depressive disorder, metabolic syndrome was significantly associated with increased all-cause and disease-related mortality after adjustment for age, sex and smoking status (p = 0.032 and p = 0.036, respectively). There was a significant interaction between metabolic syndrome and psychiatric diagnoses indicating that in participants with major depressive disorder, metabolic syndrome had a significantly greater effect on all-cause mortality (p = 0.025) and on disease-related mortality (p = 0.008) than in participants with either bipolar disorder or schizophrenia.

CONCLUSIONS

Our findings do not support an association between metabolic syndrome and increased mortality in older patients with major psychiatric disorders. Several explanations are discussed, including a survival bias, a lack of sensitivity of the used cut-offs and a ceiling effect of metabolic syndrome on mortality in this very high-risk population. The latter hypothesis could also explain the significant association between metabolic syndrome and mortality in the depressive subgroup, where a ceiling effect is yet to be reached, given the less marked premature mortality in depressive patients compared to those with bipolar disorder or schizophrenia.

Identifying pathways to early-onset metabolic dysfunction, insulin resistance and inflammation in young adult inpatients with emerging affective and major mood disorders

AIM

Young people with common mood disorders face the prospect of shortened life expectancy largely due to premature cardiovascular disease. Metabolic dysfunction is a risk factor for premature cardiovascular disease. There is an ongoing debate whether metabolic dysfunction can be simply explained by weight gain secondary to psychotropic medications or whether shared genetic vulnerability, intrinsic immune-metabolic disturbances or other system perturbations (e.g. dysregulated sympathetic nervous system, circadian dysfunction) are more relevant determinants of premature cardiovascular disease. Thus, we aimed to investigate underlying drivers of metabolic dysfunction and premature cardiovascular disease in young people in the early phases of common mood disorders.

METHODS

We evaluated the relationships between insulin resistance (assessed by HOMA2-IR) and body mass index (BMI), sex, diagnosis, medication, inflammatory markers and hormonal factors in 327 inpatients with emerging affective and major mood disorders admitted to the Young Adult Mental Health Unit, St Vincent's Private Hospital, Sydney.

RESULTS

While HOMA2-IR scores were positively associated with BMI (r_s  = 0.465, p < .001), they were also higher in those prescribed mood stabilizers (p = .044) but were not associated with specific diagnoses, other medication types or the number of prescribed medications. Further, high-sensitivity C-reactive protein levels (but not thyroid-stimulating hormone and ferritin levels) were positively associated with HOMA2-IR (r_s  = 0. 272, p < .001) and BMI (r_s  = . 409, p < .001).

CONCLUSIONS

In addition to BMI, other non-specific markers of inflammation are associated with early metabolic dysfunction in young people with emerging affective and major mood disorders.

Atypical working hours are associated with tobacco, cannabis and alcohol use: longitudinal analyses from the CONSTANCES cohort

BACKGROUND

This study examined prospective associations between atypical working hours with subsequent tobacco, cannabis and alcohol use as well as sugar and fat consumption.

METHODS

In the French population-based CONSTANCES cohort, 47,288 men and 53,324 women currently employed included between 2012 and 2017 were annually followed for tobacco and cannabis use. Among them, 35,647 men and 39,767 women included between 2012 and 2016 were also followed for alcohol and sugar and fat consumption. Three indicators of atypical working hours were self-reported at baseline: working at night, weekend work and non-fixed working hours. Generalized linear models computed odds of substance use and sugar and fat consumption at follow-up according to atypical working hours at baseline while adjusting for sociodemographic factors, depression and baseline substance use when appropriate.

RESULTS

Working at night was associated with decreased smoking cessation and increased relapse in women [odds ratios (ORs) of 0.81 and 1.25], increased cannabis use in men [ORs from 1.46 to 1.54] and increased alcohol use [ORs from 1.12 to 1.14] in both men and women. Weekend work was associated with decreased smoking cessation in women [ORs from 0.89 to 0.90] and increased alcohol use in both men and women [ORs from 1.09 to 1.14]. Non-fixed hours were associated with decreased smoking cessation in women and increased relapse in men [ORs of 0.89 and 1.13] and increased alcohol use in both men and women [ORs from 1.12 to 1.19]. Overall, atypical working hours were associated with decreased sugar and fat consumption.

CONCLUSIONS

The potential role of atypical working hours on substance use should be considered by public health policy makers and clinicians in information and prevention strategies.

Specific Pathways from Parental Distress Reactions to Adolescent Depressive Symptoms: The Mediating Role of Youths' Reactions to Negative Life Events

The current multimethod longitudinal study examines how parents' distress reactions to adolescents' negative emotions may shape youths' own perceptions of negative life events and subsequent increases in depressive symptomology. Ninety adolescents (41 girls, 49 boys, average age = 16.5 years old) and their parents were assessed over three timepoints. We found that greater parent-reported distress reactions to adolescents' emotions predicted subsequent increase in youths' own self-reported negative reactions to stressful experiences over a two-week period, which in turn predicted steeper increases in youth-reported depressive symptoms across this same two-week period. Moreover, youths' negative reactions mediated the relation between parent emotion socialization and increases in adolescent depressive symptoms. These findings support the use of interventions that simultaneously target parent and child distress to prevent the onset of adolescent depression.

Temporal Changes of Metabolic Indicators and Quality of Life by a Two-Day Patient Education Program for Metabolic Syndrome Patients

Metabolic syndrome (MetS) is a disease with a high prevalence that threatens the health of modern people. Patient education is essential to control MetS. This prospective study aimed to evaluate 6-month changes in health indicators following a two-day education program for patients with MetS aged 45 or older. Education about MetS, lifestyle modification, nutrition, and physical activity was provided. At 3 and 6 months after the program, participants visited for follow-up. Twenty-two patients completed the 6-month study. Waist circumference was reduced, and life quality and depression index improved in 3 and 6 months compared to pre-education. Blood pressure decreased, and anxiety index improved at three months. Nutritional knowledge was well maintained for 3 and 6 months. High-density lipoprotein-cholesterol levels increased at six months. Three out of twenty-two patients did not satisfy MetS criteria at the end of the study due to improved indicators. A two-day multidisciplinary education program positively affected health indicators in MetS patients. Participation in the program also help with life satisfaction and positive emotional condition. However, some indicators improved in 3 months, but the effect disappeared 6 months after the program.

Association of Dietary Inflammatory Index (DII) and Depressive Disorders

A lot of evidence shows that inflammation is related to the development of depression. However, the heterogeneity of depression hinders efforts to understand, prevent and treat this disease. The purpose of this comprehensive review is to summarize the links between inflammation and the established core features of depression, which show more homogeneity than the syndrome itself: overreaction to negative information, changes in reward processing, and cognitive control decline, and somatic syndrome. For each core feature, we first briefly outline its relevance to depression and neurobiological basis, and then review the evidence to investigate the potential role of inflammation. We mainly focus on the discovery of the experimental paradigm of exogenous inflammation. We concluded that inflammation may play a role in overreaction to negative information, altered reward responses, and physical symptoms. There is less evidence to support the effect of inflammation on cognitive control by standard neuropsychological measures. Finally, we discussed the implications for future research and recommendations on how to test the role of inflammation in the pathogenesis of heterogeneous mental illness.

The association between depression and metabolic syndrome and its components: a bidirectional two-sample Mendelian randomization study

Observational studies suggested a bidirectional correlation between depression and metabolic syndrome (MetS) and its components. However, the causal associations between them remained unclear. We aimed to investigate whether genetically predicted depression is related to the risk of MetS and its components, and vice versa. We performed a bidirectional two-sample Mendelian randomization (MR) study using summary-level data from the most comprehensive genome-wide association studies (GWAS) of depression (n = 2,113,907), MetS (n = 291,107), waist circumference (n = 462,166), hypertension (n = 463,010) fasting blood glucose (FBG, n = 281,416), triglycerides (n = 441,016), high-density lipoprotein cholesterol (HDL-C, n = 403,943). The random-effects inverse-variance weighted (IVW) method was applied as the primary method. The results identified that genetically predicted depression was significantly positive associated with risk of MetS (OR: 1.224, 95% CI: 1.091-1.374, p = 5.58 × 10^-4), waist circumference (OR: 1.083, 95% CI: 1.027-1.143, p = 0.003), hypertension (OR: 1.028, 95% CI: 1.016-1.039, p = 1.34 × 10^-6) and triglycerides (OR: 1.111, 95% CI: 1.060-1.163, p = 9.35 × 10^-6) while negative associated with HDL-C (OR: 0.932, 95% CI: 0.885-0.981, p = 0.007) but not FBG (OR: 1.010, 95% CI: 0.986-1.034, p = 1.34). No causal relationships were identified for MetS and its components on depression risk. The present MR analysis strength the evidence that depression is a risk factor for MetS and its components (waist circumference, hypertension, FBG, triglycerides, and HDL-C). Early diagnosis and prevention of depression are crucial in the management of MetS and its components.

Depressive symptoms and 5-year incident metabolic syndrome among older adults

Little is known regarding the association between depressive symptoms and metabolic syndrome (MetS) among older Chinese adults. This study aimed to examine the association of depressive symptoms with MetS and its components among Chinese elderly. Based on whether they showed depressive symptoms at baseline, 262 age-gender-matched participants from a community-based cohort study were included. The presence of depressive symptoms was measured using the nine-item Patient Health Questionnaire (PHQ-9). MetS was defined according to the Adult Treatment Panel III of the National Cholesterol Education Program. Linear regression and logistic regression analyses were performed to assess associations of depressive symptoms with MetS and its components. The incidence of MetS among the participants with depressive symptoms at baseline was 15.27% (20/131). The association of the presence of depressive symptoms with MetS was significant (odds ratio [OR] = 2.53, 95% confidence intervals [CI] = 1.07, 5.95). There was a negative association between depressive symptoms and hypertension (OR = 0.04, 95% CI = 0.002, 0.98). The change in mean arterial pressure varies approximately 1.03 mmHg with a 1-point change in PHQ-9 score. In this study, baseline depressive symptoms were associated with subsequent MetS. The presence of depressive symptoms was negatively associated with elevated mean arterial pressure.

Changes in Lifestyle and Dietary Habits during COVID-19 Lockdown in Italy: Results of an Online Survey

COVID-19 is an unprecedented global pandemic. On 12 March 2020, a lockdown order was issued in Italy in attempt to contain the health crisis. The study aimed to assess the impact of the COVID-19 lockdown on diet, physical activity, sleep quality, and distress in an Italian cohort. An online anonymous interview, which included validated questionnaires was created to compare lifestyle habits pre- and during the lockdown. Data analysis from 604 subjects with a mean age of 29.8 years was carried out using multivariate analysis. Compared to pre-COVID-19 times, 67% of people changed their eating habits and increased consumption of foods containing added sugars. Women and men with low adherence to the Mediterranean Diet (MedDiet) were more likely to be physically inactive (p < 0.0001 and p < 0.01, respectively). Results from logistic regression showed a three times higher risk of being inactive if adherence to the MedDiet was low (p < 0.0001), especially in men between 26 and 35 years. Lower levels of distress were reported in males who were physically active (89%) (p < 0.001). Our findings may help to identify effective lifestyle interventions during restrictive conditions.

Probiotics as a Treatment for "Metabolic Depression"? A Rationale for Future Studies

Depression and metabolic diseases often coexist, having several features in common, e.g., chronic low-grade inflammation and intestinal dysbiosis. Different microbiota interventions have been proposed to be used as a treatment for these disorders. In the paper, we review the efficacy of probiotics in depressive disorders, obesity, metabolic syndrome and its liver equivalent based on the published experimental studies, clinical trials and meta-analyses. Probiotics seem to be effective in reducing depressive symptoms when administered in addition to antidepressants. Additionally, probiotics intake may ameliorate some of the clinical components of metabolic diseases. However, standardized methodology regarding probiotics use in clinical trials has not been established yet. In this narrative review, we discuss current knowledge on the recently used methodology with its strengths and limitations and propose criteria that may be implemented to create a new study of the effectiveness of probiotics in depressive disorders comorbid with metabolic abnormalities. We put across our choice on type of study population, probiotics genus, strains, dosages and formulations, intervention period, as well as primary and secondary outcome measures.

The relationship between depression and risk of metabolic syndrome: a meta-analysis of observational studies

INTRODUCTION

The link between metabolic syndrome and depression has always been controversial. Different studies that have examined the relationship between metabolic syndrome and depression have reported different results. Therefore, the goal of the present study was to examine the association between depression and MetS by meta-analysis.

METHODS

Embase, Scopus, PubMed, and ISI were searched for publications in English from January 1990 to February 2020. Search included cohort and cross-sectional studies aimed at examining the association between depression and MetS. The risk of bias was assessed by Newcastle-Ottawa Scale. Heterogeneity and publication bias were tested, subgroup analysis and meta-regression were conducted.

RESULTS

49 studies with total sample size 399,494 were analyzed. Results indicated the odds of MetS was higher in depressed compared to non-depressed individuals [OR: 1.48; 95 %CI: 1.33-1.64) vs. (OR: 1.38; 95 %CI: 1.17-1.64)]. For cross-sectional studies, depressed patients in Europe (OR = 1.35; 95 %CI: 1.47-1.99) were at higher odds of MetS compared to those in America and Asia. For cohort studies, depressed patients in America (OR = 1.46; 95 %CI: 1.16-1.84) were at higher odds of MetS than those in Europe. Cross-sectional studies indicated women with depression were at higher odds of MetS (OR = 1.95; 95 %CI: 1.38-2.74) compared to men. In both types of studies, the odds of MetS decreased with age.

CONCLUSIONS

Metabolic syndrome is more common in depressed compared to non-depressed individuals.

Adiposity in Depression or Depression in Adiposity? The Role of Immune-Inflammatory-Microbial Overlap

Some of the most common and debilitating conditions are metabolic disorders (metabolic syndrome and non-alcoholic fatty liver disease) and depression. These conditions are also exacerbated by the fact that they often co-occur. Although the exact mechanisms underlying such relationships are poorly known, antipsychotic medication and antidepressant use, diet and physical activity, and lifestyle factors are believed to play a role; however, their high co-occurrence rate suggests a possible pathophysiological overlap. This paper reviews several possible bases for this overlap, including hypothalamic-pituitary-adrenal axis dysregulation, immune alterations with chronic inflammation, and oxidative stress. While it is entirely possible that changes in the microbiota may play a role in each of them, interventions based on the implementation of dietary and other lifestyle changes, supplementation with prebiotics or probiotics and faecal microbiota transplantation have failed to achieve conclusive results. A better characterization of the above associations may allow a more targeted approach to the treatment of both depressive and metabolic disorders. The paper also presents several practical applications for future studies.

Pathophysiology linking depression and type 2 diabetes: Psychotherapy, physical exercise, and fecal microbiome transplantation as damage control

Diabetes increases the likelihood of developing depression and vice versa. Research on this bidirectional association has somewhat managed to delineate the interplay among implicated physiological processes. Still, further exploration is required in this context. This review addresses the comorbidity by investigating suspected common pathophysiological mechanisms. One such factor is psychological stress which disturbs the hypothalamic-pituitary-adrenal axis causing hormonal imbalance. This includes elevated cortisol levels, a common biomarker of both depression and diabetes. Disrupted insulin signaling drives the hampered neurotransmission of serotonin, dopamine, and norepinephrine. Also, adipokine hormones such as adiponectin, leptin, and resistin and the orexigenic hormone, ghrelin, are involved in both depression and T2DM. This disarray further interferes with physiological processes encompassing sleep, the gut-brain axis, metabolism, and mood stability. Behavioral coping mechanisms, such as unhealthy eating, mediate disturbed glucose homeostasis, and neuroinflammation. This is intricately linked to oxidative stress, redox imbalance, and mitochondrial dysfunction. However, interventions such as psychotherapy, physical exercise, fecal microbiota transplantation, and insulin-sensitizing agents can help to manage the distressing condition. The possibility of glucagon-like peptide 1 possessing a therapeutic role has also been discussed. Nonetheless, there stands an urgent need for unraveling new correlating targets and biological markers for efficient treatment.

Correlates of metabolic syndrome in patients with depression: A study from north-western India

BACKGROUND AND AIMS

Metabolic syndrome (MS) is found to be prevalent in patients with mental illness including depression. Data is sparse on the role of lifestyle factors on MS in depression.

METHODS

This study was aimed to assess correlates of MS in patients with depression.

METHODOLOGY

Three hundred eighty-two patients with depressive disorders were assessed for the prevalence of MS by using modified National Cholesterol Education Program- Adult Treatment Panel-III criteria (NCEP ATP-III). Their illness severity, functionality, physical activity and nutritional habits were also assessed.

CONCLUSIONS

Majority of patients with depression (82.2%) were drug naive. One-fourth of the patients had metabolic syndrome (27.7%). Additionally, other 59% of patients had one or two metabolic abnormalities and one-third of patients were obese. Lower high density lipoprotein cholesterol level was the most common abnormality (65%), while abnormal blood pressure was the least common abnormality (18%). Significant correlates of MS were greater age, and age at onset of depression, greater illness duration, lesser physical activity and lower nutritional score.

CONCLUSION

Nearly one-fourth of patients with depression had MS; another three-fifth of patients had one or two metabolic abnormalities. MS was more commonly seen with sedentary lifestyle and poor nutritional habits. It calls for comprehensive assessment and timely management of cardiovascular risk factors as well as lifestyle factors in depression.

Does substance use explain social differences in terms of depression? Findings from the Constances cohort

BACKGROUND

The role of alcohol, tobacco and cannabis use in social differences in terms of depression is poorly understood.

METHOD

We have applied mediation and moderated-mediation models stratified by gender to a population-based sample (N = 37,192) of French men and women from the Constances cohort with baseline and follow-up measures of depressive states. We have examined whether socioeconomic status (SES, measured by education and income) differences in the prevalence of depressive states may be explained by both differences in prevalence of substance use according to SES (mediating effects) and differential effects of substance use on depressive state according to SES (moderating effects).

RESULTS

In the mediation models, substance use only explained 5.3% and 2.4% of the association between low education and depressive state in men and women respectively, and was not a significant mediator for income. Moderated mediation models showed robust moderation effects of education and income in both men and women. The association of tobacco use with depressive symptoms, which was the only substance for which a mediation effect remained and for which the moderation effect of SES was the strongest, was significantly higher in participants with low SES.

LIMITATIONS

The partially cross-sectional nature of the data restricts the possibility of drawing causality with regards to associations between SES and substance use.

CONCLUSION

Targeting substance use, particularly tobacco, can especially reduce depression risk in individuals of low SES.

Association between unemployment and the co-occurrence and clustering of common risky health behaviors: Findings from the Constances cohort

Background

Unemployment is associated with a high prevalence of risky health behaviors. Mortality increases with the number of co-occurring risky behaviors but whether these behaviors co-occur with a greater than expected frequency (clustering) among unemployed people is not known.

Methods

Differences according to unemployment status in co-occurrence and clustering of smoking, alcohol abuse, low leisure-time physical activity and unhealthy diet (marked by low fruit and vegetable intake) were assessed in 65,630 salaried workers, aged 18 to 65, who were participants in Constances, a French population-based cohort. Among them, 4573 (7.0%) were unemployed without (n = 3160, 4.8%) or with (n = 1413, 2.1%) past experience of unemployment.

Results

Compared to the employed, unemployed participants without or with past experience of unemployment were similarly overexposed to each risky behavior (sex and age adjusted odds-ratios ranging from 1.38 to 2.19) except for low physical activity, resulting in higher rates of co-occurrence of two, three and four behaviors (relative risk ratios, RRR 1.20 to 3.74). Association between behavior co-occurrence and unemployment did not vary across gender, partnership status or income category. Risky behavior clustering, i.e., higher than expected co-occurrence rates based on the prevalence of each behavior, was similar across unemployment status. The same observations can be made in employed participants with past experience of unemployment, although overexposure to risky behaviors (ORs 1.15 to 1.38) and increased rates of co-occurrence (ORs 1.19 to 1.58) were not as pronounced as in the unemployed.

Conclusions

Co-occurrence of risky behaviors in currently and/or formerly unemployed workers is not worsened by behavior clustering. Engagement in each of these behaviors should be considered an engagement in distinct social practices, with consequences for preventive policies.

Benzodiazepine use among older adults with schizophrenia spectrum disorder: prevalence and associated factors in a multicenter study

OBJECTIVES

Data on psychotropic medications of older patients with schizophrenia spectrum disorder are scarce. Specifically, information about the use of benzodiazepines among older patients with schizophrenia spectrum disorder is very limited. Because benzodiazepine use in older patients has been associated with many disabling side effects, its use in actual practice must be described and questioned. This study aimed at exploring the prevalence of benzodiazepine use and the clinical factors associated with such use among older patients with schizophrenia spectrum disorder.

METHODS/DESIGN

Data from the Cohort of individuals with Schizophrenia Aged 55 years or more (CSA) were used to examine the prevalence of benzodiazepine use among older patients with schizophrenia spectrum disorder. Demographic and clinical characteristics associated with benzodiazepine prescription were also explored.

RESULTS

The prevalence of benzodiazepine use was 29.8% of older patients with schizophrenia spectrum disorder. These patients were significantly more likely to have medical comorbidities, cognitive and social functioning impairments, to report a lifetime history of suicide attempt, to be institutionalized, and to have been hospitalized in a psychiatric service in the past year compared to those without a benzodiazepine prescription (all p<0.05). There were no between-group differences in schizophrenia severity and psychiatric comorbidity.

CONCLUSIONS

Although it can be hypothesized that benzodiazepine prescription is part of a short-term therapeutic strategy toward patients with more severe trouble or comorbid disorders, our results suggest a strong link between benzodiazepine prescription and a particularly vulnerable subpopulation of older patients with schizophrenia spectrum disorder.

Characterizing Hotspots and Frontier Landscapes of Diabetes-Specific Distress from 2000 to 2018: A Bibliometric Study

Objectives

This work aims to comprehensively characterize hotspots and frontier landscapes concerning diabetes-specific distress from 2000 to 2018.

Materials and Methods

Firstly, diabetes-specific distress-related literature was retrieved and downloaded from the Web of Science Core Collection (WoSCC). Secondly, WoSCC self-contained toolkits and GraphPad Prism7 were conducted to analyze general characteristics, including literature products, countries, institutes, authors, and journal resource. Finally, CiteSpace V Toolkits was put forward to implement advanced analysis, consisting of keyword-term frequency and co-occurrence, references-cited frequency and co-occurrence, and burst detection for keyword terms and references cited, which uncovers the hotspots and frontiers of diabetes-specific distress.

Results

After preprocessing, our study included a total of 1051 papers concerning diabetes-specific distress. Publication outputs increased smoothly year by year. Compared with other journals, diabetic medicine delivered the largest number of documents. The United States occupied the leading positions, and the most productive institution was the University of California System in terms of literature products. Fisher L. has the highest references-cited frequency. Prevalence of diabetes-specific distress, diabetes-specific distress and glycemic control, diabetes-specific distress and depression comorbidity, and diabetes-specific distress and risk factors were the research hotspots, whereas the measure of diabetes-specific distress and latent and serious/severe diabetes-specific distress was the research frontiers.

Conclusions

Overall, our study may inspire researchers to show great interest in diabetes-specific distress in the next few years.

Nutritional psychiatry: Towards improving mental health by what you eat

Does it matter what we eat for our mental health? Accumulating data suggests that this may indeed be the case and that diet and nutrition are not only critical for human physiology and body composition, but also have significant effects on mood and mental wellbeing. While the determining factors of mental health are complex, increasing evidence indicates a strong association between a poor diet and the exacerbation of mood disorders, including anxiety and depression, as well as other neuropsychiatric conditions. There are common beliefs about the health effects of certain foods that are not supported by solid evidence and the scientific evidence demonstrating the unequivocal link between nutrition and mental health is only beginning to emerge. Current epidemiological data on nutrition and mental health do not provide information about causality or underlying mechanisms. Future studies should focus on elucidating mechanism. Randomized controlled trials should be of high quality, adequately powered and geared towards the advancement of knowledge from population-based observations towards personalized nutrition. Here, we provide an overview of the emerging field of nutritional psychiatry, exploring the scientific evidence exemplifying the importance of a well-balanced diet for mental health. We conclude that an experimental medicine approach and a mechanistic understanding is required to provide solid evidence on which future policies on diet and nutrition for mental health can be based.

Fish Oil, but Not Olive Oil, Ameliorates Depressive-Like Behavior and Gut Microbiota Dysbiosis in Rats under Chronic Mild Stress

Background: This study investigated the effects of fish oil and olive oil in improving dysbiosis and depressive-like symptoms. Methods and results: Male rats were fed normal, fish oil-rich or olive oil-rich diets for 14 weeks. Chronic mild stress (CMS) was administered from week 2. The sucrose preference test (SPT) and forced swimming test (FST) were used to determine depressive-like behavior. The SPT results revealed that the CMS, CMS with imipramine (CMS+P) treatment, and CMS with olive oil diet (CMS+O) groups exhibited significantly reduced sucrose intake from week 8, whereas the fish oil diet (CMS+F) group exhibited significantly reduced sucrose intake from week 10. The FST results showed that the immobile time of the CMS+F group was significantly less than that of the CMS-only group. Next generation sequencing (NGS) results showed CMS significantly reduced the abundance of Lactobacillus and increased that of Marvinbryantia and Ruminiclostridium_6. However, the CMS+F group showed an increase in the abundance of Eisenbergiella, Ruminococcaceae_UCG_009, and Holdemania, whereas the CMS+O group showed an increase in the abundance of Akkermansia. Conclusions: CMS stimuli altered the gut microbiome in depressed rats. Fish oil and olive oil exerted part of a prebiotic-like effect to ameliorate dysbiosis induced by CMS. However, only fish oil ameliorated depressive-like symptoms.

Effects of depression and cognitive impairment on quality of life in older adults with schizophrenia spectrum disorder: Results from a multicenter study

BACKGROUND

Little is known about the respective effects of depression and cognitive impairment on quality of life among older adults with schizophrenia spectrum disorder.

METHODS

We used data from the Cohort of individuals with Schizophrenia Aged 55-years or more (CSA) study, a large multicenter sample of older adults with schizophrenia or schizoaffective disorder (N = 353). Quality of life (QoL), depression and cognitive impairment were assessed using the Quality of Life Scale (QLS), the Center of Epidemiologic Studies Depression scale and the Mini-Mental State Examination, respectively. We used structural equation modeling to examine the shared and specific effects of depression and cognitive impairment on QoL, while adjusting for sociodemographic characteristics, general medical conditions, psychotropic medications and the duration of the disorder.

RESULTS

Depression and cognitive impairment were positively associated (r = 0.24, p < 0.01) and both independently and negatively impacted on QoL (standardized β = -0.41 and β = -0.32, both p < 0.01) and on each QLS quality-of-life domains, except for depression on instrumental role and cognitive impairment on interpersonal relations in the sensitivity analyses excluding respondents with any missing data. Effects of depression and cognitive impairment on QoL were not due to specific depressive symptoms or specific cognitive domains, but rather mediated through two broad dimensions representing the shared effects across all depressive symptoms and all cognitive deficits, respectively.

LIMITATIONS

Because of the cross-sectional design of this study, measures of association do not imply causal associations.

CONCLUSIONS

Mechanisms underlying these two broad dimensions should be considered as important potential targets to improve quality of life of this vulnerable population.

Prevalence and Characteristics of Metabolic Syndrome Differ in Men and Women with Early Rheumatoid Arthritis

Objective

Metabolic syndrome (MetS) prevalence in early rheumatoid arthritis (ERA) is conflicting. The impact of sex, including menopause, has not been described. We estimated the prevalence and factors associated with MetS in men and women with ERA.

Methods

A cross‐sectional study of the Canadian Early Arthritis Cohort (CATCH) was performed. Participants with baseline data to estimate key MetS components were included. Sex‐stratified logistic regression identified baseline variables associated with MetS.

Results

The sample included 1543 participants; 71% were female and the mean age was 54 (SD 15) years. MetS prevalence was higher in men 188 (42%) than women 288 (26%, P < 0.0001) and increased with age. Frequent MetS components in men were hypertension (62%), impaired glucose tolerance (IGT, 40%), obesity (36%), and low high‐density lipoprotein cholesterol (36%). Postmenopausal women had greater frequency of hypertension (65%), IGT (32%), and high triglycerides (21%) compared with premenopausal women (P < 0.001). In multivariate analysis, MetS was negatively associated with seropositivity and pulmonary disease in men. Increasing age was associated with MetS in women. In postmenopausal women, corticosteroid use was associated with MetS. Psychiatric comorbidity was associated with MetS in premenopausal women. MetS status was not explained by disease activity or core RA measures.

Conclusion

The characteristics and associations of MetS differed in men and women with ERA. Sex differences, including postmenopausal status, should be considered in comorbidity screening. With this knowledge, the interplay of MetS, sex, and RA therapeutic response on cardiovascular outcomes should be investigated.

Self-Management of Depression: Beyond the Medical Model

Self-management is increasingly becoming the standard of care among people with chronic medical conditions. Its application to depression is mostly extrapolated from the paradigms used for nonpsychiatric medical illnesses. Such an approach falls short in addressing strength-based interventions that foster recovery in individuals with depression. This article describes a new paradigm of self-management, which is in line with the recovery model, is patient-centered, and goes beyond amelioration of clinical symptoms.

What is the prevalence, and what are the clinical correlates, of insulin resistance in young people presenting for mental health care? A cross-sectional study

OBJECTIVES

To report the distribution and predictors of insulin resistance (IR) in young people presenting to primary care-based mental health services.

DESIGN

Cross-sectional.

SETTING

Headspace-linked clinics operated by the Brain and Mind Centre of the University of Sydney.

PARTICIPANTS

768 young people (66% female, mean age 19.7±3.5, range 12-30 years).

MAIN OUTCOME MEASURES

IR was estimated using the updated homeostatic model assessment (HOMA2-IR). Height and weight were collected from direct measurement or self-report for body mass index (BMI).

RESULTS

For BMI, 20.6% of the cohort were overweight and 10.2% were obese. However, <1% had an abnormally high fasting blood glucose (>6.9 mmol/L). By contrast, 9.9% had a HOMA2-IR score >2.0 (suggesting development of IR) and 11.7% (n=90) had a score between 1.5 and 2. Further, there was a positive correlation between BMI and HOMA2-IR (r=0.44, p<0.001). Participants in the upper third of HOMA2-IR scores are characterised by younger age, higher BMIs and depression as a primary diagnosis. HOMA2-IR was predicted by younger age (β=0.19, p<0.001) and higher BMI (β=0.49, p<0.001), together explaining 22% of the variance (F_(2,361)=52.1, p<0.001).

CONCLUSIONS

Emerging IR is evident in a significant subgroup of young people presenting to primary care-based mental health services. While the major modifiable risk factor is BMI, a large proportion of the variance is not accounted for by other demographic, clinical or treatment factors. Given the early emergence of IR, secondary prevention interventions may need to commence prior to the development of full-threshold or major mood or psychotic disorders.

Subsyndromal and syndromal depressive symptoms among older adults with schizophrenia spectrum disorder: Prevalence and associated factors in a multicenter study

BACKGROUND

Few studies have examined the prevalence and correlates of subsyndromal and syndromal depressive symptoms (SSSD) among older adults with schizophrenia spectrum disorder. In this report, we examined the prevalence of SSSD and their associations with sociodemographic characteristics, clinical characteristics of schizophrenia, comorbidity, psychotropic medications, quality of life, functioning and mental health care utilization in a large, multicenter sample of older adults with schizophrenia spectrum disorder.

METHODS

Data from the Cohort of individuals with Schizophrenia Aged 55 years or more (CSA) were used to examine the prevalence of SSSD, defined using the Center of Epidemiologic Studies Depression (CESD) scale. Clinical characteristics associated with SSSD were explored.

RESULTS

Among 343 older adults with schizophrenia spectrum disorder, 78.1% had either subsyndromal (30.6%) or syndromal (47.5%) depressive symptoms. SSSD were independently associated with positive and negative symptoms, lower quality of life, non-late-onset psychosis, benzodiazepine use and urbanicity. There were no significant associations of SSSD with other sociodemographic characteristics and psychotropic medications, or with general medical conditions. We found no significant differences in the proportion of participants who were treated with antidepressants between those with syndromal depressive symptoms and those without depression (22.1% vs. 20.0%, p = 0.89). SSSD were not associated with higher mental health care utilization.

LIMITATIONS

Data were cross-sectional and depression was not evaluated with a semi-structured interview.

CONCLUSION

SSSD may be highly prevalent and under-assessed and/or undertreated among older adults with schizophrenia spectrum disorder. Our findings should alert clinicians about the need to assess systematically and regularly depression in this vulnerable population.

Metabolic syndrome among older adults with schizophrenia spectrum disorder: Prevalence and associated factors in a multicenter study

Metabolic syndrome and its associated morbidity and mortality have been well documented in adults with schizophrenia. However, data is lacking for their geriatric counterparts. We sought to investigate the frequency of screening and the prevalence of metabolic syndrome in older adults with schizophrenia, as well as its possible correlates, using the Cohort of individuals with schizophrenia Aged 55 years or more study (n = 353). We found that 42.2% (n = 149) of our sample was screened for metabolic syndrome. Almost half of those (n = 77; 51.7%) screened positive according to ATPIII criteria. Hypertension and abdominal obesity were the two most prevalent metabolic abnormalities. Screening was positively associated with male gender and urbanicity, and metabolic syndrome diagnosis was positively associated with cardiovascular disorders and consultation with a general practitioner (all p < 0.05). However, there were no significant associations of metabolic syndrome with socio-demographic or clinical characteristics, psychotropic medications, other medical conditions and other indicators of mental health care utilization. Our findings support that the prevalence of metabolic syndrome among older adults with schizophrenia spectrum disorder is high and screening is crucial mainly in those patients with hypertension and/or abdominal obesity. Factors at play might be different than those in the younger population.