BACKGROUND: An association between sleep and obesity has been suggested in several studies, but many previous studies relied on self-reported sleep and on BMI as the only adiposity measure. Moreover, a relationship between weight loss history and attained sleep duration has not been thoroughly explored.

DESIGN: The study comprised of 1202 participants of the European NoHoW trial who had achieved a weight loss of ≥5% and had a BMI of ≥25 kg/m2 prior to losing weight. Information was available on objectively measured sleep duration (collected during 14 days), adiposity measures, weight loss history and covariates. Regression models were conducted with sleep duration as the explanatory variable and BMI, fat mass index (FMI), fat-free mass index (FFMI) and waist-hip ratio (WHR) as response variables. Analyses were conducted with 12-month weight loss, frequency of prior weight loss attempts or average duration of weight maintenance after prior weight loss attempts as predictors of measured sleep duration.

RESULTS: After adjusting for physical activity, perceived stress, smoking, alcohol consumption, education, sex and age, sleep duration was associated to BMI (P < 0.001), with the highest BMI observed in the group of participants sleeping <6 h a day [34.0 kg/m2 (95% CI: 31.8-36.1)]. Less difference in BMI was detected between the remaining groups, with the lowest BMI observed among participants sleeping 8-<9 h a day [29.4 kg/m2 (95% CI: 28.8-29.9)]. Similar results were found for FMI (P = 0.008) and FFMI (P < 0.001). We found no association between sleep duration and WHR. Likewise, we found no associations between weight loss history and attained sleep duration.

CONCLUSION: In an overweight population who had achieved a clinically significant weight loss, short sleep duration was associated with higher BMI, with similar associations for fat and lean mass. We found no evidence of association between weight loss history and attained sleep duration.

Importance: Early menarche and early menopause are associated with increased risk of cardiovascular disease (CVD) in midlife, but little is known about the association between reproductive life span and the risk of CVD.

Objective: To investigate the association between the length of reproductive life span and risk of incident CVD events, while also considering the timing of menarche and menopause.

Design, Setting, and Participants: Individual-level data were pooled from 12 studies participating in the International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events consortium. Women provided complete information on the timing of menarche and menopause, nonfatal CVD events, and covariates. Cox proportional hazards models were used to estimate hazard ratios and 95% CIs, adjusted for covariates. The association between reproductive life span and CVD was adjusted for age at menarche and age at menopause separately. Analysis began March 2018 and ended December 2019.

Exposures: Reproductive life span was calculated by subtracting age at menarche from age at menopause and categorized as younger than 30, 30 to 32, 33 to 35, 36 to 38 (reference group), 39 to 41, 42 to 44, and 45 years or older.

Main Outcomes and Measures: First nonfatal CVD event, including coronary heart disease and stroke events.

Results: A total of 307 855 women were included. Overall, the mean (SD) ages at menarche, menopause, and reproductive life span were 13.0 (1.5) years, 50.2 (4.4) years, and 37.2 (4.6) years, respectively. Pooled analyses showed that women with a very short reproductive life span (<30 years) were at 1.71 (95% CI, 1.58-1.84) times higher risk of incident CVD events than women with a reproductive life span of 36 to 38 years after adjustment for covariates. This association remained unchanged when adjusted for age at menarche but was attenuated to 1.26 (95% CI, 1.09-1.46) when adjusted for age at menopause. There was a significant interaction between reproductive life span and age at menarche associated with CVD risk (P < .001). Women who had both short reproductive life span (<33 years) and early menarche (age ≤11 years) had the highest risk of CVD (hazard ratio, 2.06; 95% CI, 1.76-2.41) compared with those with a reproductive life span of 36 to 38 years and menarche at age 13 years.

Conclusions and Relevance: Short reproductive life span was associated with an increased risk of nonfatal CVD events in midlife, and the risk was significantly higher for women with early age at menarche.

OBJECTIVE: To describe spontaneous changes in time spent being physically inactive that is measured continuously by accelerometry during an 8-week weight-loss intervention in overweight/obese individuals with knee osteoarthritis (OA).

METHODS: This study was designed as an observational cohort study including individuals from an OA outpatient clinic who were concomitantly overweight/obese and had symptomatic knee OA. Participants completed an 8-week dietary intervention that had been previously shown to induce substantial weight loss. The main outcome was accelerometer-based measurement of daily physical inactivity for 24 hours during the 8-week intervention period that was presented as change in the average daily time spent inactive (sitting, reclined, or sleeping) from 1 week prior to intervention to the last week of the intervention.

RESULTS: A total of 124 participants completed the dietary intervention and had valid accelerometer recordings. The mean weight loss was 12.7 kg (95% confidence interval [95% CI] -13.2, -12.1; P < 0.0001) after 8 weeks, which corresponded to a decrease in body mass index of 4.3 kg/m
2 (95% CI -4.5, -4.2; P < 0.0001). Significant improvements in OA symptoms (assessed by the Knee Injury and Osteoarthritis Outcome Score [KOOS]) was found across all subscales; an improvement of 12.8 points (95% CI 10.6, 15.0; P < 0.0001) was observed for pain using the KOOS. No statistically significant change occurred in the average daily time spent inactive from baseline to follow-up (mean change 8.8 minutes/day [95% CI -12.1, 29.7]; P = 0.41).

CONCLUSION: Physical inactivity remains stable despite a clinically significant weight loss and improvements in knee OA symptoms. Change in inactivity does not seem to occur spontaneously, suggesting that focused efforts to reduce inactive behaviors are needed.

BACKGROUND: Cortisol is often used as a biological marker for stress. When measured in urine or serum, representing a short-term measurement of the hormone, it has been associated with unfavorable sleep characteristics and both low and high physical activity levels. However, cortisol in hair represents a long-term stress measure and has been suggested as a promising new marker for chronic stress. Therefore, we aimed to examine the association between objectively measured sleep, physical activity and hair cortisol levels in preschool children.

METHODS: In order to obtain objective measures of physical activity and sleep habits, 54 children aged 2-6 years wore an ActiGraph for 5 consecutive days and nights. For chronic stress measurements of each child, hair was cut from the back of the head close to the scalp for analysis of cortisol levels. Associations between measured sleep quality and quantity and level of physical activity and hair cortisol levels were estimated using linear regression analysis, presented as β. Results were adjusted for sex, age and BMI z-score.

RESULTS: We found no significant association between log-transformed cortisol (pg/mg) and sleep duration (hours) (β = - 0.0016, p = 0.99), sleep efficiency (β = - 3.1, p = 0.18), sleep latency (β = 0.015, p = 0.16) or physical activity level (100 counts per min) (β = 0.014, p = 0.22). However, sleep latency (min) was directly associated with physical activity (counts per min) levels (β = 35.2, p = 0.02), while sleep duration (hours) (β = - 142.1, p = 0.55) and sleep efficiency (%) (β = - 4087, p = 0.26) showed no significant associations.

CONCLUSIONS: In our study, a high physical activity level was associated with poorer sleep habits. Neither sleep quality nor physical activity were related to long term cortisol exposure. These results are among the first to study associations between objectively measured sleep, physical activity and chronic cortisol levels among preschool children. More and larger studies are therefore needed.

Background: The association between concomitant pathologic characteristics and preoperative symptoms in patients identified as eligible for surgical rotator cuff repair has been sparsely evaluated. The purpose was to explore the associations between preoperative shoulder symptoms and additional structural pathology or injuries identified during surgery in patients with traumatic supraspinatus tears.

Methods: This was a cross-sectional study including patients with traumatic supraspinatus tears. Preoperatively, patients reported pain and disability using a numeric pain rating scale from 0 to 10 and the Western Ontario Rotator Cuff Index. During surgery, the presence of prespecified structural injuries and pathologies including a full-thickness or partial supraspinatus tear, infraspinatus tear, subscapularis tear, hooked acromion, acromioclavicular joint osteoarthritis, biceps tendon pathology, labral tear, and cartilage lesion was recorded. Linear regression and analysis of covariance were used to assess associations.

Results: A total of 87 patients (52 male patients, 60%) were included (mean age, 60 years; standard deviation, 9.2 years). Of these patients, 69 (79%) had a full-thickness supraspinatus tear and 18 (21%) had a partial-thickness tear. Concomitant structural pathology was found in 79 patients (91%). No association was found between the number of structural shoulder pathologies and preoperative numeric pain rating scale or Western Ontario Rotator Cuff Index score, and no particular concomitant pathology was associated with worse patient-reported symptoms.

Conclusion: Pathology of the infraspinatus and subscapularis and other structural joint pathologies concomitant with supraspinatus tears were not correlated with preoperative self-reported pain and disability in patients scheduled to undergo rotator cuff surgery, suggesting that concomitant pathology adds little to the symptoms in patients with a traumatic supraspinatus tear.

Context: Weight loss is known to improve health, however the influence of variability in body weight around the overall trajectory on these outcomes is unknown. Few studies have measured body weight frequently enough to accurately estimate the variability component.

Objective: To investigate the association of 12-month weight variability and concurrent weight change with changes in health markers and body composition.

Methods: This study was a secondary analysis of the NoHoW trial, a 2 × 2 factorial randomised controlled trial promoting evidence-based behaviour change for weight loss maintenance. Outcome measurements related to cardiometabolic health and body composition were taken at 0, 6 and 12 months. Participants were provided with Wi-Fi connected smart scales (Fitbit Aria 2) and asked to self-weigh regularly over this period. Associations of weight variability and weight change with change in outcomes were investigated using multiple linear regression with multiple levels of adjustment in 955 participants.

Results: Twelve models were generated for each health marker. Associations between weight variability and changes in health markers were inconsistent between models and showed no evidence of a consistent relationship, with all effects explaining <1% of the outcome, and most 0%. Weight loss was consistently associated with improvements in health and body composition, with the greatest effects seen in percent body fat (R2 = 10.4-11.1%) followed by changes in diastolic (4.2-4.7%) and systolic (3-4%) blood pressure.

Conclusion: Over 12-months, weight variability was not consistently associated with any measure of cardiometabolic health or body composition, however weight loss consistently improved all outcomes.

Trial registration number: ISRCTN88405328.