The relationship between daytime napping and glycemic control in people with type 2 diabetes.

Aim: To examine the association between napping characteristics and glycemic control in people with type 2 diabetes. Design: This study used a cross-sectional design. Methods: A convenience sample of people with type 2 diabetes (N=226) were included. Glycemic control was indicated by HbA1c which was measured by A1C Now®+. Napping characteristics including napping frequency, duration, timing, and type were measured by validated questionnaires. Other variables, such as insomnia, cognitive impairment, and depression were measured by the Insomnia Severity Index, Montreal Cognitive Assessment, and Patient Health Questionnaire-9, respectively. Multivariate linear regression analyses were performed. Results: The sample consisted of 122 women (54.0%), with a median age of 67 years. Their median HbA1c was 6.8%. No significant relationship was found between napping frequency and HbA1c. Among nappers, after controlling for covariates, long napping duration (≥60 min) and morning napping were both associated with poorer glycemic control. Compared with appetitive napping, restorative napping was associated with better glycemic control. Conclusion: Daytime napping (e.g., duration and type) is an important modifiable factor for glycemic control in people with type 2 diabetes. This study provides new insights into the relationship between napping and glucose management among people with diabetes.

Sleep health predicted glucose metabolism among pregnant women: A prospective cohort study.

AIMS: To examine whether sleep health in the first trimester could predict glucose metabolism in the second trimester. METHODS: Pregnant women (N = 127) during the first trimester were recruited (August 2022 to March 2023). Overall sleep health was assessed by the Sleep Health Index. Various dimensions of sleep health were measured using a 7-day sleep diary and questionnaires. The outcomes, including diagnosis of gestational diabetes mellitus (GDM) and HbA1c, were obtained from the medical records in the second trimester. Poisson regression analysis and multiple linear regression were used for data analysis. RESULTS: The average age of the participants was 32.6 years. The incidence of GDM was 28.3 % and the mean HbA1c was 5.2 % (33 mmol/mol). Sleep duration regularity (RR = 1.808; 95 %CI 1.023, 3.196) was associated with GDM after controlling for confounders. SHI total score (ß = -0.278; 95 %CI -0.022, -0.005) and sleep duration regularity (ß = 0.243; 95 %CI 0.057, 0.372) were associated with HbA1c. CONCLUSIONS: Worse sleep health, particularly lower sleep regularity, predicted worse glucose metabolism among pregnant women. Healthcare professional may consider adding sleep-related assessment to prenatal care. Maintaining regular sleep should be encouraged. Studies examining the impact of sleep intervention on glucose metabolism among pregnant women are warranted.

Validity and reliability of the sleep health index among patients with spinal degenerative diseases.

OBJECTIVE: To test the validity and reliability of the Sleep Health Index (SHI) in a Chinese clinical sample, and thereby provide more evidence for the assessment of sleep health in future research and clinical practice. METHODS: This study used a cross-sectional design. A convenient sample of 265 participants with spinal degenerative diseases was recruited from outpatient clinics. The SHI, Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Patient Health Questionnaire-9 (PHQ-9), Visual Analogue Scale (VAS), and EuroQoL 5-Dimension 5-Level (EQ-5D-5L) were administered via REDCap. Structural, concurrent, convergent, known-group validity, internal consistency, and test-retest reliability were evaluated. RESULTS: Confirmatory factor analysis confirmed a 3-factor structure (sleep duration, sleep quality, and disordered sleep). The overall SHI score had a high correlation with PSQI and ISI (r = -0.62 and -0.70, respectively) as well as a moderate correlation with PHQ-9 (r = -0.50, p<0.001). The overall SHI was significantly associated with VAS, ESS, and EQ-5D-5L (r = -0.15 to -0.23, p<0.05). Participants with pain had a lower score on the sleep quality sub-index than those without (p<0.001). Those with chronic diseases had a significantly lower score on the sleep duration sub-index than those without (p<0.05). Those with depression, poor sleep quality, and insomnia had lower scores on the overall scale and the three sub-indices than those without (p<0.05). The overall SHI showed acceptable internal consistency (Cronbach's α = 0.74) and test-retest reliability (intraclass correlation coefficient = 0.73). CONCLUSIONS: The Chinese version of SHI showed good validity and acceptable reliability and could be used to assess sleep health among clinical populations.

Sleep behaviors predicted sleep disturbances among Chinese health science students: a cross-sectional study.

PURPOSE: Healthy sleep is essential for individuals' physiological and psychological health. Health science students experience a high prevalence of sleep disturbances which may be due to maladaptive behaviors. This study aimed to examine the associations of sleep behaviors including sleep hygiene and bedtime procrastination with the associations of sleep disturbances (e.g., poor sleep quality, insomnia, and short sleep). METHODS: This cross-sectional study included health science students from a medical university in Shanghai, China. Sleep disturbances included poor sleep quality, insomnia, and short sleep. They were measured by the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and one question "How many hours of sleep did you usually get during the past week?", respectively. Sleep behaviors included sleep hygiene and bedtime procrastination measured by the Sleep Hygiene Index (SHI) and Bedtime Procrastination Scale (BPS), respectively. Logistic regression was performed while controlling for potential confounders. RESULTS: A total of 464 health science students participated. Poorer overall sleep hygiene and more bedtime procrastination were independently associated with higher odds of poor sleep quality (OR=1.065, 95% CI 1.028-1.103; OR=1.040, 95% CI 1.006-1.075, respectively) and insomnia (OR=1.059, 95% CI 1.018-1.101; OR=1.093, 95% CI 1.049-1.139, respectively). More bedtime procrastination was associated with higher odds of short sleep (OR=1.148, 95% CI 1.093-1.206). Commonly reported specific sleep behaviors, such as "Going to bed later than intended", "Doing other things than sleep at bedtime", and "Easily stopping what I am doing at bedtime", were also related to higher odds of sleep disturbances. CONCLUSIONS: Sleep hygiene and bedtime procrastination were strong predictors of sleep disturbances. Tailored interventions targeting specific sleep behaviors are warranted to clarify their effect on sleep disturbances.

Multidimensional sleep health and diabetic retinopathy: Systematic review and meta-analysis.

Diabetic retinopathy (DR) is one of the most prevalent microvascular diabetic complications. Poor sleep health and obstructive sleep apnea (OSA) are risk factors for diabetes and poor glycemic control. Recent studies have suggested associations between poor sleep health/OSA and DR. Furthermore, there have been suggestions of melatonin dysregulation in the context of DR. We conducted a systematic review and meta-analysis exploring the associations between multidimensional sleep health (duration, satisfaction, efficiency, timing/regularity and alertness), OSA and melatonin with DR. Forty-two studies were included. Long, but not short sleep, was significantly associated with DR, OR 1.41 (95%CI 1.21, 1.64). Poor sleep satisfaction was also significantly associated with DR, OR 2.04 (1.41, 2.94). Sleep efficiency and alertness were not associated with DR, while the evidence on timing/regularity was scant. Having OSA was significantly associated with having DR, OR 1.34 (1.07, 1.69). Further, those with DR had significantly lower melatonin/melatonin metabolite levels than those without DR, standardized mean difference -0.94 (-1.44, -0.44). We explored whether treating OSA with continuous positive airway pressure (CPAP) led to improvement in DR (five studies). The results were mixed among studies, but potential benefits were observed in some. This review highlights the association between poor multidimensional sleep health and DR.

Information Needs and Its Association With Depressive Symptoms in People With Type 2 Diabetes.

PURPOSE: The purpose of this study was to describe the information needs and examine its association with depressive symptoms in people with type 2 diabetes (T2D). METHODS: A descriptive, correlational design was used. People with T2D (N = 358) were recruited from 12 communities in Shanghai, China. Self-reported information needs and depressive symptoms were measured using the Information Needs in Diabetes Questionnaire and Patient Health Questionnaire-9 (PHQ-9), respectively. Multivariate linear regression analysis was performed. RESULTS: The participants were 64.8 years on average, and 46.6% were men. One hundred fifty-one (42.2%) had depressive symptoms (PHQ-9 ≥ 5). Participants had the least knowledge about "diabetes research," "acute complications," and "lifestyle adjustment." The sample had the highest levels of information needs about topics including "mental strain," "treatment/therapy," and "diabetes in everyday life." Compared to those without depressive symptoms, those experiencing depressive symptoms were less informed and had higher levels of need for further information. Controlling for covariates, higher levels of need for further information were significantly associated with greater depressive symptoms (B = 0.368, 95% CI, 0.155-0.582, P = .001). CONCLUSIONS: This study demonstrated areas that should be prioritized when meeting patients' information needs. It also showed the potential negative effect of unmet information needs on depression. These findings may help develop a more tailored intervention for people with T2D.

Psychosocial interventions for teenagers with adolescent idiopathic scoliosis: A systematic literature review.

OBJECTIVES: Psychosocial interventions can improve teenagers' self-esteem, mental health and bracing compliance. There is a need to compile available evidence of psychosocial care in adolescent idiopathic scoliosis. This systematic review aimed to identify and evaluate the effects of existing interventional studies of psychosocial care for the adolescent idiopathic scoliosis population. METHODS: A comprehensive search of relevant literature published from the inception to March 2023 was conducted using nine databases. A google scholar search was performed on 1 July 2023, to update the searching results. Two reviewers independently assessed the methodological quality and extracted details of the included studies. Given the heterogeneity of the selected articles, the findings were synthesized narratively without conducting a meta-analysis. RESULTS: Four randomized controlled trials reported in six articles involving 385 teenagers were included. The interventions appeared acceptable with high recruitment rates and low dropout rates reported. Psychosocial interventions had shown significant positive effects on postoperative pain, engagement in daily and social activities as well as brace use, coping abilities and anxiety. CONCLUSION: Psychosocial interventions are generally feasible and acceptable among the adolescent idiopathic scoliosis population and have produced positive effects on a variety of physical and psychosocial outcomes. Study findings need to be interpreted with caution due to the limited number of available articles and the methodological concerns of the reviewed articles. PRACTICAL IMPLICATIONS: Well-designed clinical trials are warranted in people from cultural backgrounds to develop and implement effective psychosocial interventions for teenagers with adolescent idiopathic scoliosis, not only for those at the post-surgery stage but also for those receiving conservative treatment.

Biochar conductivity and electron donating capability control Cr(VI) bioreduction.

Biochar can facilitate Cr(VI) bioreduction, but it is still undetermined which biochar property control this process. We observed that the apparent Cr(VI) bioreduction by Shewanella oneidensis MR-1 could be identified as a fast and a relatively slow processes. The fast-bioreduction rates (rf0) were 2-15 times higher than the slow-bioreduction rates (rs0). In this study, we investigated the kinetics and efficiency of biochar in promoting Cr(VI) reduction by S. oneidensis MR-1 in the neutral solution using a "dual-process model" (fast and slow processes), and analyzed the mechanisms of biochar concentration, conductivity, particle size and other properties on these two processes. The correlation analysis of these rate constants and biochar properties was carried out. The fast-bioreduction rates were associated with higher conductivity and smaller particle sizes of biochar, which facilitated the direct electron transfer from Shewanella oneidensis MR-1 to Cr(VI). The Cr(VI) slow-bioreduction rates (rs0) were mainly determined by the electron donating capability of biochar and independent of the cell concentration. Our results suggested that Cr(VI) bioreduction was mediated by both electron conductivity and redox potential of biochar. This result is instructive for biochar production. Manipulating biochar properties to control fast and slow Cr(VI) reduction may be helpful to effectively remove or detoxify Cr(VI) in the environment.

Feasibility and effectiveness of artificial intelligence-driven conversational agents in healthcare interventions: A systematic review of randomized controlled trials.

BACKGROUND: A virtual conversational agent is a program that typically utilizes artificial intelligence technology to mimic human interactions. Many robust and high-quality clinical trials have been conducted to test the effectiveness of conversational agent-based interventions. However, there is a lack of systematic reviews of randomized controlled trials that evaluate the effects of artificial intelligence-driven conversational agents in healthcare interventions. OBJECTIVE: To examine the feasibility and effectiveness of conversational agent-based interventions evaluated by randomized controlled trials in the healthcare context, as well as to evaluate the information quality of artificial intelligence-driven conversational agents. DESIGN: A systematic review. DATA SOURCE: A systematic search of relevant literature published in English in Scopus, Pubmed, Embase, PsycINFO, Cochrane Library, Information Science & Technology, and Web of Science, was performed. Only randomized controlled trials from the inception of the databases until May 2022 were included. REVIEW METHODS: Two reviewers independently selected the articles according to the inclusion and exclusion criteria. Study findings were narratively synthesized and summarized. The studies' risk of bias was evaluated using the Risk of Bias 2.0 tool. The Silberg Scale was used to evaluate the quality of the conversational agent system utilized in each reviewed study. RESULTS: Twenty-one studies were included in the data synthesis. The recruitment rates ranged from 34% to 100% (mean = 84%), and completion rates ranged from 40% to 100% (mean = 83%). A moderate to high level of intervention acceptability was reported. The intervention approaches included health counseling and education (n = 8), cognitive-behavioral interventions (n = 7), storytelling (n = 1), acceptance and commitment therapy (n = 1), and coping skills training (n = 1). Findings indicated inconsistent effects on improving participants' physical activity and function, healthy lifestyle modifications, knowledge of the diseases, and mental health and psychosocial outcomes. The overall risk of bias varied from low risk (n = 6) to high risk (n = 7) across the studies. The mean Silberg score of included studies was 5.4/9, with a standard deviation of 1.6. CONCLUSION: Our review findings indicated that conversational agent-based interventions were feasible, acceptable, and had positive effects on physical functioning, healthy lifestyle, mental health and psychosocial outcomes. Conversational agents can provide low-threshold access to healthcare services. They can serve as remote medical assistants to support patients' recovery or health promotion needs before or after medical treatments. The conversational agent-based interventions can also play adjunctive roles and be integrated into current healthcare systems, which could improve the comprehensiveness of services and make more efficient use of physicians' and nurses' time.

Psychometric evaluation of the Chinese version of Sleep Health Index in pregnant women.

OBJECTIVE: The aim of this study was to investigate the psychometric properties of the Chinese version of the Sleep Health Index (SHI-C) among pregnant women. DESIGN: Cross-sectional design. SETTING: Outpatient clinic of three hospitals in China. PARTICIPANTS: Pregnant women (N = 264) aged between 18 and 45 years were recruited via convenience sampling. METHODS: The Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS) and Insomnia Severity Index (ISI) were used to measure sleep quality, daytime sleepiness, and insomnia, respectively. The Fatigue Assessment Scale (FAS) and the Edinburgh Postnatal Depression Scale (EPDS) were used to measure fatigue and depression, respectively. Structural validity was assessed via confirmatory factor analysis (CFA). Concurrent and convergent validity were assessed using bivariate correlation analyses. Known-group validity was assessed by comparing the SHI-C score between different groups. Cronbach's α was calculated for reliability. FINDINGS: The average sample age was 30.6 years old and their average score of SHI-C was 86.4 (SD 8.2). Based on PSQI, ISI, and ESS, 43.6%, 32.2%, and 26.9% had poor sleep quality, insomnia, and excessive daytime sleepiness, respectively. The SHI-C total and sleep quality sub-index scores had moderate to strong correlations with both PSQI (r=-0.542, p<0.01; r=-0.648, p<0.01) and ISI (r=-0.692, p<0.01; r=-0.752, p<0.01). The SHI-C total and sleep quality sub-index scores were significantly associated with ESS, FAS, and EPDS (r=-0.171 to -0.276; p<0.01). The SHI-C total score was higher in the second trimester and among those who were working, never drank coffee, or took a nap every day. The Cronbach's α of the SHI-C total and the sleep quality sub-index were 0.723 and 0.806, respectively. The Cronbach's α of sleep duration and disordered sleep sub-indices were 0.594 and 0.545, respectively. KEY CONCLUSIONS: Overall, the SHI-C has good validity and acceptable reliability among the pregnant population in China. It can be a useful tool for the assessment of sleep health. More research is warranted to refine the sleep duration and disordered sleep sub-indices. IMPLICATIONS FOR PRACTICE: The use of SHI-C would facilitate the assessment of sleep health among pregnant women, which could contribute to the promotion of perinatal care.

Cross-cultural adaptation and validation of the Chinese version of the Sleep Health Index.

OBJECTIVE: To generate the Chinese Sleep Health Index (SHI-C) in Mandarin with cross-cultural adaptations and test its psychometric properties. METHODS: This study used a cross-sectional design. Health science students were included (N = 271) and a sub-set (n = 74) was invited for the re-test. Cross-cultural adaptation of the SHI-C was performed prior to formal validation. The SHI-C, Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Bedtime Procrastination Scale, and Sleep Hygiene Index were used to measure variables of interest. Exploratory factor analysis was used to evaluate the structure validity. Bivariate analyses were used to evaluate the construct validity. RESULTS: Exploratory factor analysis identified 3 factors (ie, sleep quality, sleep duration, and disordered sleep) accounting for 55.6% of the total variance. The SHI-C total and sleep quality sub-index scores were significantly associated with both PSQI global score (r = -0.132, p < .05; r = -0.182, p < .01, respectively) and ISI score (r = -0.655, p < .05; r = -0.820, p < .05, respectively). SHI-C total, sleep quality sub-index, and sleep duration sub-index scores were significantly associated with Bedtime Procrastination Scale and Sleep Hygiene Index scores (r = -0.238 to -0.368, p < .05). Students with insomnia (ISI > 9) or poor sleep quality (PSQI > 5) had significantly lower SHI-C scores than those without (73.5 vs. 89.0, p < .01; 84.1 vs. 86.7, p < .05, respectively). SHI-C showed good internal consistency (Cronbach's alpha = 0.73) and test-retest reliability (intraclass correlation coefficient = 0.82). CONCLUSIONS: The SHI-C demonstrated good validity and adequate reliability in a Chinese sample of health science students. It could be used to measure sleep health in future research and practice. Psychometric properties of the SHI-C among other Chinese populations remain to be confirmed.

Bidirectional Associations between Parental Feeding Practices and Child Eating Behaviors in a Chinese Sample.

BACKGROUND: Child eating behaviors (CEBs) and parental feeding practices (PFPs) play critical roles in childhood obesity. However, the bidirectional relationships between CEBs and PFPs remain equivocal. This longitudinal study aimed to explore their bidirectional relationships. METHODS: A convenience sample of 870 parents with preschoolers was recruited in this longitudinal study (Shanghai, China). Three non-responsive feeding practices (NFPs), three responsive feeding practices (RFPs), five CEBs, and covariates were collected using validated questionnaires at baseline and the 6-month follow-up. Cross-lagged analyses using structural equation modeling (SEM) were performed to examine their bidirectional relationships. RESULTS: Eight hundred and fifty-three parents completed questionnaires, with a response rate of 98%. The mean age of their children at baseline was 4.39 years (standard deviation = 0.72 years). Eighteen out of sixty longitudinal cross-lagged paths were statistically significant. Parental encouragement of healthy eating and content-restricted feeding were found to be bidirectionally associated with child food fussiness. Four parent-driven associations and one child-driven association were identified between RFPs and CEBs. For example, monitoring was negatively associated with children's unhealthy eating habits (ß = -0.066, standard error (SE) = 0.025, p < 0.01). Eight child-driven associations and one parent-driven association were observed between NFPs and CEBs. For example, higher child satiety responsiveness predicted a higher pressure to eat (ß = 0.057, SE = 0.029, p < 0.01) and the use of food as a reward (ß = 0.083, SE = 0.031, p < 0.01). CONCLUSIONS: There were bidirectional, parent-driven, and child-driven associations. Parents should be encouraged to adopt RFPs to shape CEBs. Increasing parents' understanding of CEBs and providing them with reasonable coping strategies would help optimize PFPs.

Associations between sleep variability and cardiometabolic health: A systematic review.

This review explored the associations between sleep variability and cardiometabolic health. It was performed following PRISMA guidelines. We identified 63 studies. Forty-one studies examined the association between sleep variability and body composition, with 29 examined body mass index (BMI). Thirteen studies used social jet lag (SJL), n = 30,519, with nine reporting a null association. Eight studies used variability in sleep duration (n = 33,029), with five reporting a correlation with BMI. Fourteen studies (n = 133,403) focused on overweight/obesity; significant associations with sleep variability were found in 11 (n = 120,168). Sleep variability was associated with weight gain (seven studies; n = 79,522). Twenty-three studies examined glucose outcomes. The association with hemoglobin A1c (16 studies, n = 11,755) differed depending on populations, while associations with diabetes or glucose were mixed, and none were seen with insulin resistance (five studies; n = 6416). Sixteen studies examined cardiovascular-related outcomes, with inconsistent results. Overall significant associations were found in five studies focusing on metabolic syndrome (n = 7413). In summary, sleep variability was likely associated with obesity, weight gain, and metabolic syndrome. It might be associated with hemoglobin A1c in people with type 1 diabetes. The associations with other outcomes were mixed. This review highlighted the possible association between sleep variability and cardiometabolic health.

Bidirectional Associations between Parental Non-Responsive Feeding Practices and Child Eating Behaviors: A Systematic Review and Meta-Analysis of Longitudinal Prospective Studies.

BACKGROUND: Parental non-responsive feeding practices and child eating behaviors both play significant roles in childhood obesity. However, their longitudinal relationships are less clear. This systematic review aimed to examine their bidirectional associations. METHODS: A systematic search of five databases was conducted from inception to February 2022. Data synthesis was performed using a semi-quantitative and quantitative approach. RESULTS: A total of 14 studies with 15348 respondents were included. A total of 94 longitudinal effects from 14 studies of parental non-responsive feeding practices on child eating behaviors were investigated, and 19 statistically significant effects were discovered. Seventy-seven longitudinal effects from nine studies of child eating behaviors on parental feeding practices were examined, with fifteen being statistically significant. The pooled results of meta-analysis showed five statistically significant associations: parental restrictive feeding positively predicted child enjoyment of food (ß = 0.044; 95% CI: 0.004, 0.085); use of food as a reward positively predicted child emotional eating (ß = 0.09; 95% CI: 0.04, 0.15); child food responsiveness positively predicted restrictive feeding (ß = 0.04; 95% CI: 0.02, 0.06); use food as a reward (ß = 0.06; 95% CI: 0.03, 0.10). In addition, the pooled effects showed that child satiety responsiveness negatively predicted restrictive feeding (ß = -0.05; 95% CI: -0.08, -0.01). CONCLUSIONS: The bidirectional relationships between parental non-responsive feeding practices and child eating behaviors are inconsistent and a few showed statistical significance. Theory-driven longitudinal studies using validated instruments and controlling for potential confounders are needed to unveil their relationships and provide evidence for obesity prevention interventions.

Independent associations between sleep duration, gamma gap, and cognitive function among older adults: Results from the NHANES 2013-2014.

This study examined whether gamma gap mediated the association between sleep and cognitive function. Data from NHANES 2013-2014 were used. Three tests were used to measure cognitive function. Sleep was measured by three single questions. Gamma gap was calculated by subtracting albumin from total protein. Participants were 1392 older adults (53.2% females). Approximately 12% reported being told having sleep disorder, 1/3 reported having trouble sleeping, 25.9% had short sleep, and 12.5% had long sleep. Sleep disorders and sleep quality were not associated with cognitive function. Long sleep duration was an independent risk factor of reduced cognitive function on immediate recall, delayed recall, and executive function. Elevated gamma gap was also an independent risk factor of lower cognitive function. In a representative sample of older adults in the US, gamma gap and sleep duration were independent predictors of cognitive function. This study highlights the need for sleep assessment among older adults.

Maternal perception of child weight and concern about child overweight mediates the relationship between child weight and feeding practices.

OBJECTIVE: To examine the mediating effects of maternal perception of child weight (weight perception) and concern about overweight (weight concern) on the paths between child weight and maternal feeding practices. SETTING: Pudong District, Shanghai, China. PARTICIPANTS: A convenience sample of 1164 mothers who were primary caregivers of preschool children. RESULTS: Sixty per cent of the mothers perceived their overweight/obese children as normal weight or even underweight. The disagreement between actual child weight and maternal weight perception was statistically significant (Kappa = 0·212, P < 0·001). Structural equation modelling indicated that weight perception fully mediated the relationship between child BMI Z-scores and pressure to eat. Weight concern fully mediated the relationships between child BMI Z-scores and the other three feeding practices. The serial mediating effects of weight perception and concern were statistically significant for the paths between child BMI Z-score and monitoring (ß = 0·035, P < 0·001), restriction (ß = 0·022, P < 0·001), and food as a reward (ß = -0·017, P < 0·05). CONCLUSION: Child weight may influence maternal feeding practices through weight perception and concern. Thus, interventions are needed to increase the accuracy of weight perception, which may influence several maternal feeding practices and thereby contribute to child health.

Feasibility of sleep extension and its effect on cardiometabolic parameters in free-living settings: a systematic review and meta-analysis of experimental studies.

AIMS: Inadequate sleep is a global health issue and has been associated with an increased risk for cardiovascular diseases. As a part of sleep hygiene, intentional lengthening of night-time sleep duration (i.e. sleep extension) might be a behavioural intervention to improve cardiometabolic health. To examine the feasibility of sleep extension and its effects on cardiometabolic parameters in free-living settings. METHODS AND RESULTS: This review was registered in PROSPERO (CRD42019146174). Five databases were searched. Only experimental studies conducted in adults without a diagnosis of sleep disorder were included. The pooled mean difference was calculated by the inverse variance method. Narrative summaries were also used. Thirteen studies from 11 trials were included. The intervention ranged from 3 days to 6 weeks. Sleep extension increased total sleep time by 51 min [95% confidence interval (CI) 39-63]. Overall, sleep extension did not result in significant changes in blood pressure. However, sub-group analysis revealed that when 24 h mean blood pressure was obtained among those with pre-hypertension or Stage 1 hypertension, sleep extension reduced systolic (weighted mean difference = -7.8 mm/Hg; 95% CI -10.6 to -4.9), and diastolic blood pressure (weighted mean difference = -4.2 mm/Hg; 95% CI -6.7 to -1.8). The pooled effects on fasting glucose and insulin resistance were not significant. The effect of sleep extension on other parameters (e.g. heart rate) was not consistent. CONCLUSION: Sleep extension is feasible and could increase sleep in free-living settings. Sleep extension shows promise for reducing 24 h mean blood pressure among those with pre-hypertension or hypertension. More large-scale studies are needed to examine its long-term effects.

Type 1 Diabetes, Sleep, and Hypoglycemia.

PURPOSE OF REVIEW: To review the relationship between sleep and hypoglycemia, sleep characteristics, and their associations with glycemic control in persons with type 1 diabetes (T1D). The effects of sleep interventions and diabetes technology on sleep are summarized. RECENT FINDINGS: Nocturnal hypoglycemia affects objective and subjective sleep quality and is related to behavioral, psychological, and physiological factors. Sleep disturbances are common, including inadequate sleep, impaired sleep efficiency, poor subjective satisfaction, irregular timing, increased daytime sleepiness, and sleep apnea. Some have a bidirectional relationship with glycemic control. Preliminary evidence supports sleep interventions (e.g., sleep extension and sleep coach) in improving sleep and glycemic control, while diabetes technology use could potentially improve sleep. Hypoglycemia and sleep disturbances are common among persons with T1D. There is a need to develop sleep promotion programs and test their effects on sleep, glucose, and related outcomes (e.g., self-care, psychological health).

Graph Convolutional Network: Traffic Speed Prediction Fused with Traffic Flow Data.

Traffic speed prediction plays an important role in intelligent transportation systems, and many approaches have been proposed over recent decades. In recent years, methods using graph convolutional networks (GCNs) have been more promising, which can extract the spatiality of traffic networks and achieve a better prediction performance than others. However, these methods only use inaccurate historical data of traffic speed to forecast, which decreases the prediction accuracy to a certain degree. Moreover, they ignore the influence of dynamic traffic on spatial relationships and merely consider the static spatial dependency. In this paper, we present a novel graph convolutional network model called FSTGCN to solve these problems, where the model adopts the full convolutional structure and avoids repeated iterations. Specifically, because traffic flow has a mapping relationship with traffic speed and its values are more exact, we fused historical traffic flow data into the forecasting model in order to reduce the prediction error. Meanwhile, we analyzed the covariance relationship of the traffic flow between road segments and designed the dynamic adjacency matrix, which can capture the dynamic spatial correlation of the traffic network. Lastly, we conducted experiments on two real-world datasets and prove that our model can outperform state-of-the-art traffic speed prediction.

Weight Perception Measured by Verbal Descriptions and Visual Descriptions: Which Measurement Correlates with Weight Loss Intentions among Female Nursing Students?

BACKGROUND: Young females tend to overestimate their weight status, which might induce unhealthy weight loss intentions and behaviours. This study aimed to examine weight perception measured by visual and verbal descriptions and its correlation with weight loss intentions among female nursing students. METHODS: A cross-sectional survey was conducted among 600 female nursing students from four medical colleges in Shanghai, China. The participants rated perceptions of their weight by selecting a silhouette from the female Photographic Figure Rating Scale (PFRS) and one of the following verbal descriptions: "very underweight", "slightly underweight", "normal", "overweight" or "obese". Weight loss intentions were measured using the question "How often do you want to lose weight?". Body mass index (BMI) was calculated from self-reported height and weight. Data were analysed using univariate and ordinal logistic regression analyses. RESULTS: The accuracy of weight perceptions measured by verbal descriptions and visual descriptions was 44.50% and 55%, respectively. In females with underweight BMI (n = 135), 88.15% and 49.63% accurately classified their weight using visual descriptions and verbal descriptions, respectively. These females were more likely to overestimate (53.83% vs. 14.50%) and less likely to underestimate (1.67% vs. 30.50%) their weight when using verbal descriptions than when using visual descriptions. For verbal descriptions, weight overestimation was associated with weight loss intentions (odds ratio, 1.80; 95% confidence interval, 1.25-2.60). However, for visual descriptions, the two variables were not associated. CONCLUSIONS: A mismatch occurred between weight perceptions measured by the two methods and BMI status among female nursing students. Compared with verbal descriptions, visual descriptions had higher weight perception accuracy. However, weight overestimation measured by verbal descriptions was more likely to be associated with stronger intentions to lose weight than that of visual descriptions. These findings suggest that methodological discrepancies should be taken into account when measuring weight perception in future studies.