Cross-sectional Association between Walking Pace and Sleep-disordered Breathing

Poor sleep quality and physical performance in older adults

OBJECTIVES

This study aimed to examine the association between sleep quality and physical performance among a group of UK community-dwelling older adults, according to sex.

METHODS

Sleep quality was assessed using the Pittsburgh Sleep Quality Index. Physical performance was assessed using a short physical performance battery (SPPB), a timed up-and-go, and a hand-grip strength test.

RESULTS

Of 591 eligible study members, 401 completed the Pittsburgh Sleep Quality Index. In regression analyses, men who reported poor sleep quality were significantly more likely to have a poor SPPB score, even after adjustment for confounding factors (OR = 2.54, 95% CI 1.10-5.89, P= .03). The direction of the relationship was reversed among women, where those who reported poor sleep were less likely to have a low SPPB score (OR = 0.36, 95% CI 0.15-0.85, P = .02). Poor sleep quality was associated with poorer hand-grip strength among women (regression coefficient = -0.34 z score, 95% CI -0.64, -0.04, P = .03), but this relationship was not observed among men (regression coefficient = 0.28 z score, 95% CI -0.01, 0.57, P = .06).

CONCLUSION

We found evidence of an association between poor sleep quality and poorer physical performance in older adults, though there appear to be important sex differences.

Obstructive sleep apnea negatively impacts objectively measured physical activity

PURPOSE

Obesity and obstructive sleep apnea (OSA) are frequent comorbid conditions. The impact of OSA on objectively measured physical activity (PA), independent of obesity, is not clear. The purpose of this study is to examine the effect of OSA on PA measured via accelerometer.

METHODS

Overweight-to-obese individuals were recruited and screened for the presence of OSA via portable diagnostic device and divided into an OSA (n = 35) and control group (n = 24). Daytime sleepiness was assessed with the Epworth Sleepiness Scale. Body composition was assessed with dual-energy X-ray absorptiometry. Subjects wore an accelerometer (Actigraph GT3X+, Actigraph Corp., Pensacola, FL) for a minimum of 4 and maximum of 7 days, including at least one weekend day.

RESULTS

There were no group differences in body mass index (BMI) or daytime sleepiness. Waist and neck circumference were higher in the OSA group. The OSA group was significantly older than the control group. The OSA group had fewer steps, moderate intensity minutes, moderate-to-vigorous minutes, number of PA bouts per day (≥ moderate intensity PA for ≥ 10 consecutive minutes), and total number of PA bouts. When adjusted for age, the PA bout data was no longer significant.

CONCLUSION

Individuals screened as likely possessing OSA were less physically active than individuals without OSA when measured through objective means. We found no group differences in daytime sleepiness, BMI, or percent fat, suggesting other mechanisms than obesity and sleepiness for this difference.

Diagnosis, follow-up and management of sleep-disordered breathing in children with osteogenesis imperfecta

OBJECTIVES

Osteogenesis imperfecta (OI) is the most common genetic skeletal disorder. Extraskeletal findings are common but an association with sleep-disordered breathing (SDB) has never been described. The aim of this study was to investigate clinical features of children with OI and suspected SDB.

METHODS

A retrospective study of clinical records, signs of SDB and polysomnographic recordings of children with OI was performed. We paid particular attention to symptoms that could be associated with SDB in this population - scoliosis, kyphosis, vertebral arthrodesis, chest wall deformities, basilar impression, autonomy - as well as data already known to be associated with obstructive sleep apnea such as body mass index and upper-airway impairment.

RESULTS

We reviewed the clinical charts of 188 patients referred to our genetic skeletal disorders reference center for OI. Among the 15 patients (8%) with polysomnographic recordings, 12 (6.4%) had sleep-disordered breathing. We found a negative correlation between the Brief Assessment of Motor Function score and Apnea Hypopnea Index (r=-0.68; p=0.01) and Desaturation Index (r=-0.62; p=0.02). The Apnea Hypopnea Index was higher for non-walkers than walkers (mean [SD]: 6.5 [3.6] vs. 2.4 [1.5]; p=0.02) and with type III versus IV OI. Two patients were started on continuous positive airway pressure ventilation, with clinical improvement.

CONCLUSION

For OI children, symptoms suggesting obstructive sleep disorders should be searched for systematically, especially in children with compromised autonomy, high body mass index, trunk deformations, and severe OI type.

Associations between walking parameters and subsequent sleep difficulty in older adults: A 2-year follow-up study

PURPOSE

This 2-year follow-up study aimed to examine the associations between total volume, frequency, duration, and speed of walking with subsequent sleep difficulty in older adults.

METHODS

A total of 800 older adults aged 65 years and over participated in the first survey in 2012 and 511 of them were followed 2 years later. The 5-item Athens Insomnia Scale (AIS-5) was used to measure sleep difficulty. Frequency, duration, and speed of outdoor walking were self-reported. Walking speed was assigned a metabolic equivalent value (MET) from 2.5 to 4.5. Total walking volume in MET-h/week was calculated as frequency × duration × speed. Negative binomial regressions were performed to examine the associations between volume and components of walking with subsequent sleep difficulty with covariates of age, sex, education, marital status, living arrangement, smoking, alcohol consumption, mental health, Charlson Index, exercise (excluding walking), and sleep difficulty at baseline.

RESULTS

Participants with low walking volume had a higher level of sleep difficulty 2 years later compared with those with high walking volume (incident rate ratios = 1.61, p = 0.004). When speed, frequency, and duration of walking were simultaneously entered into 1 model, only walking speed was significantly associated with subsequent sleep difficulty (after the model was adjusted for covariates and baseline sleep difficulty). Sensitivity analyses showed that walking duration emerged as a significant predictor among 3 walking parameters, with 2-year changes of sleep scores as dependent variable.

CONCLUSION

Total amount of walking (especially faster walking and lasting for more than 20 min) is associated with less subsequent sleep difficulty after 2 years among older adults.