Approximately 25% of individuals report poor mental health during their pregnancy or postpartum period, which may impact fetal neurodevelopment, birth outcomes, and maternal behaviors. In the present study, maternal serum samples were collected from pregnancies at 28–32 weeks gestation from the All Our Families (Alberta, Canada) cohort and assessed using nuclear magnetic resonance spectroscopy (1H-NMR) and inductively coupled plasma-mass spectrometry (ICP-MS). Individuals with poor mental health at 34–36 weeks gestation were age-matched with mentally healthy pregnant controls. Metabolites were examined against validated self-reported mental health questionnaires for associations with depressive symptoms (Edinburgh Perinatal Depression Scale) and anxiety symptoms (Spielberger State-Trait Anxiety Inventory). 1H-NMR metabolites were identified for depression (alanine, leucine, valine, methionine, phenylalanine, glucose, lactate, 3-hydroxybutyrate, and pyruvate) and anxiety (3-hydroxybutyrate). For ICP-MS, antimony and zinc were significant for depression and anxiety, respectively. Upon false discovery rate (FDR) correction at 10%, five 1H-NMR metabolites (alanine, leucine, lactate, glucose, and phenylalanine) for depression remained significantly increased. Although results warrant further validation, the identified metabolites may serve as a predictive tool for assessing mental health during pregnancy as earlier identification has the potential to aid intervention and management of poor mental health symptomology, thus avoiding harmful consequences to both mother and offspring.
Background The COVID-19 pandemic and related lockdowns have impacted lifestyle behaviors, including eating habits and physical activity; yet, few studies have identified the emerging patterns of such changes and associated risk factors. Objective This study aims to identify the patterns of weight and lifestyle behavior changes, and the potential risk factors, resulting from the pandemic in Canadian adults. Methods Analyses were conducted on 1609 adults (18-89 years old; n=1450, 90.1%, women; n=1316, 81.8%, White) of the Canadian COVIDiet study baseline data (May-December 2020). Self-reported current and prepandemic weight, physical activity, smoking status, perceived eating habits, alcohol intake, and sleep quality were collected through online questionnaires. Based on these 6 indicator variables, latent class analysis (LCA) was used to identify lifestyle behavior change patterns. Associations with potential risk factors, including age, gender, ethnicity, education, income, chronic diseases, body image perception, and changes in the stress level, living situation, and work arrangement, were examined with logistic regressions. Results Participants’ mean BMI was 26.1 (SD 6.3) kg/m2. Of the 1609 participants, 980 (60.9%) had a bachelor’s degree or above. Since the pandemic, 563 (35%) had decreased income and 788 (49%) changed their work arrangement. Most participants reported unchanged weight, sleep quality, physical activity level, and smoking and alcohol consumption, yet 708 (44%) reported a perceived decrease in eating habit quality. From LCA, 2 classes of lifestyle behavior change emerged: healthy and less healthy (probability: 0.605 and 0.395, respectively; Bayesian information criterion [BIC]=15574, entropy=4.8). The healthy lifestyle behavior change group more frequently reported unchanged weight, sleep quality, smoking and alcohol intake, unchanged/improved eating habits, and increased physical activity. The less healthy lifestyle behavior change group reported significant weight gain, deteriorated eating habits and sleep quality, unchanged/increased alcohol intake and smoking, and decreased physical activity. Among risk factors, body image dissatisfaction (odds ratio [OR] 8.8, 95% CI 5.3-14.7), depression (OR 1.8, 95% CI 1.3-2.5), increased stress level (OR 3.4, 95% CI 2.0-5.8), and gender minority identity (OR 5.5, 95% CI 1.3-22.3) were associated with adopting less healthy behaviors in adjusted models. Conclusions The COVID-19 pandemic has appeared to have influenced lifestyle behaviors unfavorably in some but favorably in others. Body image perception, change in stress level, and gender identity are factors associated with behavior change patterns; whether these will sustain over time remains to be studied. Findings provide insights into developing strategies for supporting adults with poorer mental well-being in the postpandemic context and promoting healthful behaviors during future disease outbreaks. Trial Registration ClinicalTrials.gov NCT04407533; https://clinicaltrials.gov/ct2/show/NCT04407533
Sports nutrition for athletes with a spinal cord injury (SCI) is complex, making it challenging for athletes to stay informed. The aim of this study was to assess sports nutrition knowledge in athletes with a SCI and coaches of para sports. The secondary aim was to report sources of sports nutrition information. Eighty athletes and twenty-six coaches across various adapted sports were recruited. The Nutrition for Sport Knowledge Questionnaire was used to assess nutrition knowledge for both groups. Athletes achieved their highest score among the alcohol (65 ± 19%) category and the lowest in sports nutrition (43 ± 17%). Coaches demonstrated the most knowledge in the alcohol (73 ± 17%) category and lowest knowledge in the supplementation (45 ± 19%) category. Both groups relied on the internet, dietitians, and coaches for sports nutrition information. Future studies should explore the effects of nutrition education on nutrition knowledge and dietary intakes among these populations.
Objectives The COVID-19 pandemic and related lockdowns may impact lifestyle behaviors including eating habits and physical activity; few studies identified emerging patterns of such changes and associated risk factors. Objectives were to identify patterns of weight and lifestyle behavior change resulting from the pandemic in Canadian adults; and potential risk factors. Methods Analyses were conducted on 1,609 adults (18–89 y; 90.1% women; 81.8% White) of the Canadian COVIDiet study baseline data (May-Dec 2020). Self-reported current and pre-pandemic weight, physical activity, smoking status, perceived eating habits, alcohol intake and sleep quality were collected by online questionnaires. Based on these 6 indicator variables, categorized into 3–5 levels of change, latent class analysis (LCA) was used to identify lifestyle behavior change patterns. Associations with potential risk factors including age, gender, ethnicity, education, income, chronic diseases, body image perception, and changes in stress level, living situation and work arrangement were examined with logistic regressions. Results Participants’ mean BMI was 26.8 ± 6.7; 61% had > = bachelor's degree. Since the pandemic, 21% could not always afford balanced meals, 35% had decreased income and 49% changed work arrangement. From LCA, 2 classes of lifestyle behavior change emerged; “healthy” and “less healthy” (probability: 0.58 and 0.42; BIC = 19,354.8, entropy = 5.5). “Healthy” class participants more frequently reported unchanged weight, sleep quality, smoking and alcohol intake, unchanged/improved eating habits and increased physical activity. The “less healthy” class reported significant weight gain, deteriorated eating habits and sleep quality, unchanged/increased alcohol intake and smoking, and decreased physical activity. Among risk factors, body image dissatisfaction [OR = 12.2, 95%CI (9.4–15.8)] and increased stress level [(OR = 5.0, 95%CI (3.8, 6.4)] were associated with adopting “less healthy” behaviors in adjusted models. Conclusions The COVID-19 pandemic appeared to have influenced lifestyle behaviors unfavorably in some but favorably in others. Body image perception and change in stress level may have modulated these changes; whether these will sustain overtime remains to be studied. Funding Sources McGill University.
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