Quantification of diet quality utilizing the rapid eating assessment for participants-shortened version in bipolar disorder: Implications for prospective depression and cardiometabolic studies

Diet Quality in Patients with Breast Cancer: Results of a Single Cohort Study in a Midwestern US Population

Emerging research underscores the relationship between diet quality in patients with breast cancer and their cardiovascular health. This study examines the role of diet quality in patients post-breast cancer diagnosis in a single cohort in the midwestern United States (US), along with barriers to the adoption of a healthy diet and willingness to change diet. This cross-sectional study surveyed 108 patients with breast cancer. Diet quality was assessed using the Rapid Assessment of Eating in Participants - Shortened version (REAP-S). Participants had an average total REAP-S Score of 28.44 on a scale of 13-39. This score is lower than that of the average omnivorous population of the US and remained so as time since diagnosis progressed despite participants' overwhelming willingness to make changes toward a better quality diet. Several key barriers to healthier eating were identified, including unpredictable schedules and time constraints. Subaverage diet quality scores suggest that breast cancer patients elevate their future risk of adverse cardiovascular health and underscores the necessity for targeting interventions and reducing barriers to enhance diet quality.

Diet quality and associations with lactate and metabolic syndrome in bipolar disorder

BACKGROUND

Nutrition is largely affected in bipolar disorder (BD), however, there is a lack of understanding on the relationship between dietary categories, BD, and the prevalence of metabolic syndrome. The objective of this study is to examine dietary trends in BD and it is hypothesized that diets with increased consumption of seafood and high-fiber carbohydrates will be correlated to improved patient outcomes, and a lower frequency of metabolic syndrome.

METHODS

This retrospective cohort study includes two French cohorts. The primary cohort, FACE-BD, includes 268 stable BD patients. The second cohort, I-GIVE, includes healthy controls, both stable and acute BD and schizophrenia patients. Four dietary categories were assessed: meat, seafood, low-fiber and high-fiber carbohydrates. Dietary data from two food frequency questionnaires were normalized using min-max scaling and assessed using various statistical analyses.

RESULTS

In our primary cohort, the increased high-fiber carbohydrate consumption was correlated to lower prevalence of metabolic syndrome and improved mood. Low-fiber carbohydrate consumption is associated with higher BMI, while higher seafood consumption was correlated to improved mood and delayed age of onset. Results were not replicated in our secondary cohort.

LIMITATIONS

Our populations were small and two different dietary questionnaires were used; thus, results were used to examine similarities in trends.

CONCLUSIONS

Overall, various dietary trends were associated with metabolic syndrome, BMI, lactate, mood and age of onset. Improving our understanding of nutrition in BD can provide mechanistic insight, clinically relevant nutritional guidelines for precision medicine and ultimately improve the quality of lives for those with BD.

Prediction of medical admissions after psychiatric inpatient hospitalization in bipolar disorder: a retrospective cohort study

Objective

Bipolar Disorder (BD) is a severe mental illness associated with high rates of general medical comorbidity, reduced life expectancy, and premature mortality. Although BD has been associated with high medical hospitalization, the factors that contribute to this risk remain largely unexplored. We used baseline medical and psychiatric records to develop a supervised machine learning model to predict general medical admissions after discharge from psychiatric hospitalization.

Methods

In this retrospective three-year cohort study of 71 patients diagnosed with BD (mean age=52.19 years, females=56.33%), lasso regression models combining medical and psychiatric records, as well as those using them separately, were fitted and their predictive power was estimated using a leave-one-out cross-validation procedure.

Results

The proportion of medical admissions in patients with BD was higher compared with age- and sex-matched hospitalizations in the same region (25.4% vs. 8.48%). The lasso model fairly accurately predicted the outcome (area under the curve [AUC]=69.5%, 95%C.I.=55-84.1; sensitivity=61.1%, specificity=75.5%, balanced accuracy=68.3%). Notably, pre-existing cardiovascular, neurological, or osteomuscular diseases collectively accounted for more than 90% of the influence on the model. The accuracy of the model based on medical records was slightly inferior (AUC=68.7%, 95%C.I. = 54.6-82.9), while that of the model based on psychiatric records only was below chance (AUC=61.8%, 95%C.I.=46.2-77.4).

Conclusion

Our findings support the need to monitor medical comorbidities during clinical decision-making to tailor and implement effective preventive measures in people with BD. Further research with larger sample sizes and prospective cohorts is warranted to replicate these findings and validate the predictive model.

Diet quality in medical trainees: a cross-sectional assessment comparing medical students and primary care residents using the Rapid Eating Assessment for Participants-shortened version

BACKGROUND

The diet quality of the US population is significantly unhealthy, with critical long-term implications for the nation's health. A few studies have explored diet quality in the future primary care workforce. This cross-sectional study quantifies the diet quality of medical students and primary care residents at a Midwestern college of medicine in the United States.

METHODS

250 medical students and 148 primary care residents were surveyed electronically utilizing the Rapid Eating Assessment for Participants-Shortened Version (REAP-S). The survey consists of 13 questions that can be scored on a scale from 1 to 3, along with 3 questions that are not scored. The average REAP-S score for a US omnivorous diet is 32 (range 13 to 39) with higher scores indicating a higher quality diet. We obtained average REAP-S scores for all respondents and descriptive summary statistics for individual REAP-S items. Students' REAP-S total scores were compared to those of residents and the interaction between student/resident status and BMI category on REAP-S total scores were analyzed using analyses of variance. Differences between students and residents on BMI categories and other outcomes (individual REAP-S items, pandemic dietary and weight changes) were analyzed using Chi-Square Tests of Independence or Fisher's Exact Tests.

RESULTS

Medical students (n = 99; 39.6% response rate) had a significantly higher mean REAP-S score (30.5, SD = 3.9) than primary care residents (n = 72; 49% response rate) (mean = 28.6, SD = 3.9; p = 0.006). Total mean REAP-S scores were significantly higher for those with BMI < 25 (mean = 30.8, SD = 3.7) than for those with BMI > = 25 (mean = 28.3, SD = 4.0; p < 0.001). There was not a statistically significant interaction between role (student vs. resident) and BMI category on total REAP-S scores (p = 0.39). Most respondents (89.3%) indicated that they were willing to improve their diet.

CONCLUSION

Our data suggest that the diet quality of surveyed medical students and primary care residents, as quantified by the REAP-S, is suboptimal. Early detection and improvement of diet quality may be necessary for our medical profession trainees to avert potential long-term adverse cardiometabolic health outcomes, and to optimize the health of our future primary care workforce.

Sleep, Diet Quality, and Lipid Profile Assessment in NCAA Division I Acrobatics and Tumbling Student-Athletes: A Cross-Sectional Study

OBJECTIVE

Acrobatics and Tumbling (A&T), an emerging National Collegiate Athletics Association (NCAA) sport, involves athletes with rigorous training backgrounds, usually extending from youth through early adulthood. This study examines the sleep health, diet quality, and lipid profile of A&T athletes clustered by their performance position.

METHODS

Forty-two A&T athletes, clustered as tops (n = 19; age = 19.6 ± 1.0 years; body mass index [BMI] = 22.3 ± 1.7 kg/m2) and bases (n = 23; age = 19.6 ± 1.3 years; BMI = 25.7 ± 2.5 kg/m2), completed preseason sleep and diet quality (Rapid Eating Assessment for Participants-Shortened [REAP-S]) surveys. Fasting blood samples were collected for lipid analysis. Body composition was assessed via dual-energy X-ray absorptiometry.

RESULTS

Most athletes (71.4%; base n = 14, top n = 16) reported insufficient sleep (≤7 hours) and "good" sleep quality (90.4%, n = 38; base n = 18, top n = 20). Average REAP-S score was 29.24 ± 3.74. Approximately 31% (n = 13) displayed at least one undesirable lipid concentration according to medical guidelines for normal levels (total cholesterol [TC] < 200 mg/dL, triglycerides [TG] < 150 mg/dL, high-density lipoprotein cholesterol [HDL-C] > 40 mg/dL, low-density lipoprotein cholesterol [LDL-C] < 130 mg/dL). Approximately 20% exhibited elevated TC (top n = 4, base n = 4), 12.5% had elevated TG (base n = 5), 2.5% showed low HDL-C (base n = 1), and 10% presented elevated LDL-C (top n = 2, base n = 2).

CONCLUSIONS

Most athletes experienced suboptimal sleep (≤7 hours/night) and 31% displayed at least one undesirable lipid concentration (elevated TC, TG, or LDL-C or reduced HDL-C). Tailoring interventions with sports dietitians is recommended, focused on increasing monounsaturated and polyunsaturated fat intake while reducing saturated fat consumption. These interventions could mitigate cardiovascular risks, improve recovery, and possibly enhance athletic performance.

Review of Validated Methods to Evaluate Diet History in Diet Therapy and Counselling: An Overview and Analysis of Screeners Based on Food-Based Dietary Guidelines

Evidence-based dietetic practice calls for systematically developed assessment methods for nutritional assessment in dietetic counselling and therapy (DCT). Screeners can provide a quick and easy way to determine a client's diet quality and contribute to quality assurance in DCT. The aim of this systematic review was to give a comparative overview of screeners based on national food-based dietary guidelines (FBDGs) and to derive recommendations for developing an FBDG-based screener for DCT. The literature search in PubMed (MEDLINE), embase and Web of Science was conducted between May and July 2022, and updated in March 2023, in accordance with the consensus-based standards for the selection of health measurement instruments (COSMIN). The analysis focused on characteristics of screener design and measurement properties for screener testing. In total, 13 studies on 11 screeners based on FBDGs were included; 7 screeners were targeted to DCT. The content and scoring of screeners were based on the corresponding national FBDGs. The validity and/or reliability of screeners were investigated in 11 studies; responsiveness was not tested for any screener and practicality was considered in all studies. Based on the screeners reviewed, a systematic rationale to develop, enhance and test screeners based on national FBDGs was established.

Exploring the Relationship between Mood Disorders and Coexisting Health Conditions: The Focus on Nutraceuticals

Major depressive disorder and bipolar disorder are the leading causes of global disability. Approximately 50% of patients fail to attain remission, prompting a pronounced focus on the significance of dietary patterns and specific nutrients within the pathophysiology of mood disorders. The connection between chronic diseases and mood disorders follows a bidirectional pattern: physical ailments are interrelated with affective disorders, and, concurrently, mood symptoms often precede chronic diseases and have the potential to worsen their prognosis. Nutraceuticals affect factors that could potentially impact the onset of mood disorders: monoamines and brain-derived neurotrophic factor (BDNF) concentrations, neuroinflammation, oxidative stress, and sleep quality. Furthermore, mood disorders rarely manifest in isolation. Typically, such patients concurrently experience other mental disorders or somatic comorbidities: obesity, hypertension, diabetes, polycystic ovary syndrome (PCOS), etc., where providing nutritional support is also pertinent. To optimize the therapeutic approach for individuals with mood disorders, incorporating nutritional support may not solely ameliorate symptoms stemming directly from the mental condition, but also indirectly through interventions targeting comorbidities.

Clinical characterization of patients with bipolar disorder and a history of asthma: An exploratory study

INTRODUCTION

Bipolar disorder (BD) and asthma are leading causes of morbidity in the US and frequently co-occur.

OBJECTIVES

We evaluated the clinical features and comorbidities of patients with BD and a history of asthma.

METHODS

In a cross-sectional analysis from the Mayo Clinic Bipolar Biobank, we explored the clinical characteristics of the BD and an asthma phenotype and fitted a multivariable regression model to identify risk factors for asthma.

RESULTS

A total of 721 individuals with BD were included. From these, 140 (19%) had a history of asthma. In a multivariable model only sex and evening chronotype were significant predictors of asthma with the odds ratios and 95% confidence intervals being 1.65 (1.00, 2.72; p=0.05) and 1.99 (1.25, 3.17; p < 0.01), respectively. Individuals with asthma had higher odds of having other medical comorbidities after adjusting for age, sex, and site including hypertension (OR = 2.29 (95% CI 1.42, 3.71); p < 0.01), fibromyalgia (2.29 (1.16, 4.51); p=0.02), obstructive sleep apnea (2.03 (1.18, 3.50); p=0.01), migraine (1.98 (1.31, 3.00); p < 0.01), osteoarthritis (2.08 (1.20, 3.61); p < 0.01), and COPD (2.80 (1.14, 6.84); p=0.02). Finally, individuals currently on lithium were less likely to have a history of asthma (0.48 (0.32, 0.71); p < 0.01).

CONCLUSION

A history of asthma is common among patients with BD and is associated with being female and having an evening chronotype, as well as with increased odds of having other medical comorbidities. A lower likelihood of a history of asthma among those currently on lithium is an intriguing finding with potential clinical implications that warrants further study.

The genetics of bipolar disorder with obesity and type 2 diabetes

BACKGROUND

Bipolar disorder (BD) presents with high obesity and type 2 diabetes (T2D) and pathophysiological and phenomenological abnormalities shared with cardiometabolic disorders. Genomic studies may help define if they share genetic liability. This selective review of BD with obesity and T2D will focus on genomic studies, stress their current limitations and guide future steps in developing the field.

METHODS

We searched electronic databases (PubMed, Scopus) until December 2021 to identify genome-wide association studies, polygenic risk score analyses, and functional genomics of BD accounting for body mass index (BMI), obesity, or T2D.

RESULTS

The first genome-wide association studies (GWAS) of BD accounting for obesity found a promising genome-wide association in an intronic gene variant of TCF7L2 that was further replicated. Polygenic risk scores of obesity and T2D have also been associated with BD, yet, no genetic correlations have been demonstrated. Finally, human-induced stem cell studies of the intronic variant in TCF7L2 show a potential biological impact of the products of this genetic variant in BD risk.

LIMITATIONS

The narrative nature of this review.

CONCLUSIONS

Findings from BD GWAS accounting for obesity and their functional testing, have prompted potential biological insights. Yet, BD, obesity, and T2D display high phenotypic, genetic, and population-related heterogeneity, limiting our ability to detect genetic associations. Further studies should refine cardiometabolic phenotypes, test gene-environmental interactions and add population diversity.