Dose-Response Relationships between Diet Quality and Mortality among Frail and Non-Frail Older Adults: A Population-Based Kyoto-Kameoka Prospective Cohort Study.

OBJECTIVES: Although better diet quality is inversely associated with mortality risk, the association between diet quality and mortality remains unclear in frail and non-frail older adults. Thus, we aimed to examine this association in older Japanese adults. DESIGN: A prospective cohort study. SETTING AND PARTICIPANTS: We used the data of 8,051 Japanese older adults aged ≥65 years in the Kyoto-Kameoka study. MESUREMENTS: Dietary intake was estimated using a validated food frequency questionnaire. Diet quality was evaluated by calculating the adherence scores to the Japanese Food Guide Spinning Top (range, 0 [worst] to 80 [best]), which were stratified into quartiles. Frailty status was assessed using the validated self-administered Kihon Checklist (KCL) and the Fried phenotype (FP) model. Survival data were collected between February 15, 2012 and November 30, 2016. Statistical analysis was performed using the multivariate Cox proportional hazard analysis and the spline model. RESULTS: During the median 4.75-year follow-up (36,552 person-years), we recorded 661 deaths. After adjusting for confounders, compared with the bottom adherence score quartile, the top quartile was associated with lower hazard ratio (HR) of mortality in frailty (HR, 0.73; 95% confidence interval [CI], 0.54-1.00) and non-frailty, as defined by the KCL (HR, 0.72; 95% CI, 0.52-1.01). In the spline model, regardless of frailty status defined by the KCL and FP model, adherence score showed a strongly dose-dependent inverse association with mortality up to approximately 55 points; however, no significant differences were observed thereafter. This association was similar to the results obtained in individuals with physical, cognitive, and depression as domains of KCL in the spline model. CONCLUSIONS: Our findings demonstrate an L-shaped association between diet quality and mortality in both frail and non-frail individuals. This study may provide important knowledge for improving poor diet quality in older individuals with frailty or domains of frailty.

Sleep and sleep-disordered breathing in commercial long-haul truck drivers.

We have performed a study assessing the prevalence of sleep-disordered breathing in a large US trucking company using a validated portable monitor (MESAM-4) and a validated symptom questionnaire. Three hundred eighty-eight drivers with a mean age of 36 years filled out the questionnaire. One hundred fifty-nine drivers with a mean age of 35 years spent the night at the terminal hub where they underwent monitoring for identification of sleep-disordered breathing. The drivers also had blood pressure recorded while awake, seated, and after 15 min of quiet rest. Seventy-eight percent of the drivers had an oxygen desaturation index (ODI) > or = 5 per hour of sleep; 10% had an ODI > or = 30 per hour of sleep. There was a significant difference in the body mass index (BMI) between drivers with ODI < 5 and drivers with ODI > or = 5 (25.7 +/- 6.0 kg/m2 in drivers with ODI < 5 vs 29.0 +/- 6.3 kg/m2 in drivers with ODI > or = 5, p < 0.001). Sixteen percent of all drivers tested were hypertensive. Twelve percent were unaware of their hypertension. Hypertensive drivers were significantly more overweight (p < 0.0001), slept more restlessly (p < 0.04), took more naps (p < 0.03), and woke up more frequently during the night (p < 0.005). About 20% of drivers presented symptoms indicating very regular sleep disturbances. Drivers who had been with the company for more than 1 year were more likely to present daytime fatigue, daytime tiredness, unrestorative sleep, hypertension, and higher BMI. Long-haul truck drivers have very irregular sleep/wake schedules and a high prevalence of sleep-disordered breathing. Chronic sleep/wake disruption and partial, prolonged sleep deprivation may worsen sleep-disordered breathing. This combination of problems may impact significantly on the daytime alertness of truckers.

Traffic accidents in commercial long-haul truck drivers: the influence of sleep-disordered breathing and obesity.

This study assesses a possible independent effect of sleep-related breathing disorders on traffic accidents in long-haul commercial truck drivers. The study design included integrated analysis of recordings of sleep-related breathing disorders, self-reported automotive and company-recorded automotive accidents. A cross-sectional population of 90 commercial long-haul truck drivers 20-64 years of age was studied. Main outcome measures included presence or absence, as well as severity, of sleep-disordered breathing and frequency of automotive accidents. Truck drivers identified with sleep-disordered breathing had a two-fold higher accident rate per mile than drivers without sleep-disordered breathing. Accident frequency was not dependent on the severity of the sleep-related breathing disorder. Obese drivers with a body mass > or = 30 kg/m2 also presented a two-fold higher accident rate than nonobese drivers. We conclude that a complaint of excessive daytime sleepiness is related to a significantly higher automotive accident rate in long-haul commercial truck drivers. Sleep-disordered breathing with hypoxemia and obesity are risk factors for automotive accidents.