Effect of Peanut Butter Intake on Sleep Health in Firefighters: A Randomized Controlled Trial

Sleep is often impaired in firefighters due to the psychologically and physiologically intense nature of their work and working shift schedules. Peanut butter is affordable and a substantial source of monounsaturated fatty acids, which may aid sleep health. Thus, this study sought to determine if a daily serving of peanut butter consumed before bedtime for seven weeks altered sleep quality and quantity among full-time firefighters. Forty firefighters (peanut butter group = 20; control group = 20) participated in this eight-week randomized controlled trial. All participants completed a subjective questionnaire on mood, focus, and alertness twice daily and wore an Actigraph wristwatch to measure sleep variables, including latency, efficiency, time in bed, time asleep, wake after sleep onset, number of awakenings, and time spent awake. After a baseline week, the peanut butter group consumed two tablespoons of peanut butter two hours prior to bedtime for seven weeks. Compared to the control group, the peanut butter group did not demonstrate significant changes (p > 0.05) in sleep measures or subjective feelings of mood, focus, or alertness after consuming peanut butter for seven weeks. Therefore, peanut butter as a source of peanuts did not alter sleep quality or quantity in this group of firefighters.

Optimal risk and diagnosis assessment strategies in perinatal depression: A machine learning approach from the life-ON study cohort

This study aimed to assess the concordance of various psychometric scales in detecting Perinatal Depression (PND) risk and diagnosis. A cohort of 432 women was assessed at 10-15th and 23-25th gestational weeks, 33-40 days and 180-195 days after delivery using the Edinburgh Postnatal Depression Scale (EPDS), Visual Analogue Scale (VAS), Hamilton Depression Rating Scale (HDRS), Montgomery-Åsberg Depression Rating Scale (MADRS), and Mini International Neuropsychiatric Interview (MINI). Spearman's rank correlation coefficient was used to assess agreement across instruments, and multivariable classification models were developed to predict the values of a binary scale using the other scales. Moderate agreement was shown between the EPDS and VAS and between the HDRS and MADRS throughout the perinatal period. However, agreement between the EPDS and HDRS decreased postpartum. A well-performing model for the estimation of current depression risk (EPDS > 9) was obtained with the VAS and MADRS, and a less robust one for the estimation of current major depressive episode (MDE) diagnosis (MINI) with the VAS and HDRS. When the EPDS is not feasible, the VAS may be used for rapid and comprehensive postpartum screening with reliability. However, a thorough structured interview or clinical examination remains necessary to diagnose a MDE.

Aromas Influencing the GABAergic System

Aromas have a powerful influence in our everyday life and are known to exhibit an array of pharmacological properties, including anxiolytic, anti-stress, relaxing, and sedative effects. Numerous animal and human studies support the use of aromas and their constituents to reduce anxiety-related symptoms and/or behaviours. Although the exact mechanism of how these aromas exert their anxiolytic effects is not fully understood, the GABAergic system is thought to be primarily involved. The fragrance emitted from a number of plant essential oils has shown promise in recent studies in modulating GABAergic neurotransmission, with GABA_A receptors being the primary therapeutic target. This review will explore the anxiolytic and sedative properties of aromas found in common beverages, such as coffee, tea, and whisky as well aromas found in food, spices, volatile organic compounds, and popular botanicals and their constituents. In doing so, this review will focus on these aromas and their influence on the GABAergic system and provide greater insight into viable anxiety treatment options.

Psychosocial and Clinical Predictors of Patient Satisfaction with Cancer Care

Purpose

Patient satisfaction with healthcare was recognized as an indispensable component of healthcare quality assurance programs for decades. Limited research has explored psychosocial variables impacting patient satisfaction with cancer care. The objective of our study was to identify the level of patient satisfaction with cancer care in Riyadh, Saudi Arabia and determine the psychosocial and clinical predictors of patient satisfaction.

Methods

A cross-sectional observational study was carried out in 2018–2019 with patients with cancer at the Outpatient Oncology Clinic at King Saud University Medical City in Riyadh, Saudi Arabia. The questionnaire contained a visual analog scale (VAS) of satisfaction with cancer care, a VAS of satisfaction with social support, the Patient Health Questionnaire-9 Depression scale, and the Generalized Anxiety Disorder 7-item scale.

Results

Out of the 400 patients approached, 280 agreed to participate in the study. Of the 280 patients participating in the study, 65% were satisfied with cancer care. Higher satisfaction was associated with being non-Saudi, being employed, having fewer household residents (≤4), being satisfied with social support, not receiving radiotherapy, and receiving hormonal or biological therapy. Having anxiety or depression was also associated with lower satisfaction. After adjustment for sociodemographic and clinical characteristics, being satisfied with social support, having ≤ 4 household residents, receiving hormonal therapy, and receiving biological therapy rather than radiotherapy were all independent predictors of higher satisfaction with cancer care.

Conclusion

This study found an inadequate level of patient satisfaction with cancer care. Higher levels of satisfaction were associated with being satisfied with social support, using biological and hormonal therapy, while lower satisfaction was associated with a larger number of household residents (>4), depression, anxiety and using radiotherapy.