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Background Studies have suggested sex differences in the mortality rate associated with diabetes. We conducted a meta-analysis to estimate the relative effect of diabetes on the risk of all-cause, cancer, cardiovascular disease (CVD), infectious disease, and respiratory disease mortality in women compared with men. Methods Studies published from their inception to April 1, 2018, identified through a systematic search of PubMed and EMBASE and review of references. We used the sex-specific RRs to derive the women-to-men ratio of RRs (RRR) and 95% CIs from each study. Subsequently, the RRR for each outcome was pooled with random-effects meta-analysis weighted by the inverse of the variances of the log RRRs. Results Forty-nine studies with 86 prospective cohorts met the inclusion criteria and were eligible for analysis. The pooled women-to-men RRR showed a 13% greater risk of all-cause mortality associated with diabetes in women than in men (RRR 1.13, 95% CI 1.07 to 1.19; P

Wentao Huang,1 Dagfinn Aune,2– 4 Gerson Ferrari,5 Lei Zhang,6 Yutao Lan,1 Jing Nie,7 Xiong Chen,8 Dali Xu,9 Yafeng Wang,10 Leandro FM Rezende11 1School of Nursing, Guangdong Pharmaceutical University, Guangzhou, People’s Republic of China; 2Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; 3Department of Nutrition, Bjørknes University College, Oslo, Norway; 4Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway; 5Universidad de Santiago de Chile (USACH), Escuela de Ciencias de la Actividad Física, el Deporte y la Salud, Santiago, Chile; 6Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital of Fudan University, Shanghai, People’s Republic of China; 7Department of Sociology & Institute for Empirical Social Science Research, School of Humanities and Social Sciences, Xi’an Jiaotong University, Xi’an, People’s Republic of China; 8Department of Endocrinology, Wenzhou Medical University First Affiliated Hospital, Wenzhou, Zhejiang, People’s Republic of China; 9Department of Psychiatry and Neuroimaging Centre, Wenzhou Seventh People’s Hospital, Wenzhou, Zhejiang, People’s Republic of China; 10Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, People’s Republic of China; 11Universidade Federal de São Paulo, Escola Paulista de Medicina, Departamento de Medicina Preventiva, Sao Paulo, BrazilCorrespondence: Dali XuDepartment of Psychiatry and Neuroimaging Centre, Wenzhou Seventh People’s Hospital, Wenzhou, Zhejiang, People’s Republic of ChinaEmail dali0421@163.comWentao HuangSchool of Nursing, Guangdong Pharmaceutical University, Guangzhou, People’s Republic of ChinaEmail huangwentau@outlook.comAim: To examine the association of psychological distress with all-cause, cardiovascular disease (CVD) and cancer mortality in US adults, and verified whether the associations differed between participants with and without diabetes.Methods: A total of 485,864 adults (446,288 without diabetes and 39,576 with diabetes) who participated in the National Health Interview Survey from 1997 to 2013 were linked to the National Death Index through December 31, 2015. Psychological distress was measured by the Kessler 6 distress scale (K6). Multivariable Cox proportional hazards regression models were performed to estimate hazard ratios (HR) and 95% confidence intervals (95% CI) for the association between psychological distress and mortality.Results: We ascertained 11,746 deaths (mean follow-up, 7. 7 years) among people with diabetes and 51,636 deaths (9.9 years) among those without diabetes. Psychological distress was associated with higher all-cause, CVD, and cancer mortality. Compared to non-diabetic adults without psychological distress, HRs (95% CI) were 1.07 (1.04 to 1.09) for mild, 1.26 (1.22 to 1.30) for moderate and 1.46 (1.38 to 1.55) for severe psychological distress. Compared to the same reference group, in diabetic participants the HRs were 1.39 (1.33 to 1.44) for no psychological distress, 1.59 (1.53 to 1.66) for mild, 1.90 (1.80 to 2.00) for moderate and 1.98 (1.82 to 2.17) for severe psychological distress. Similar associations were also observed for CVD and cancer mortality but with non-statistically significant interaction.Conclusion: Psychological distress was associated with higher mortality, particularly in participants with diabetes. Strategies to ameliorate psychological distress may be important to reduce mortality in this population.Keywords: diabetes mellitus, psychological distress, mortality, cohort

Background Physical activity (PA) is low among elderly residents in nursing homes in China. We aimed to determine the factors that influence PA among elderly nursing home residents and their direct or indirect effects on PA levels. Methods The PA levels of the participants were measured using the International Physical Activity Questionnaire, and their health beliefs were assessed using a self-developed 18-item questionnaire titled the ‘Health Beliefs of Nursing Home Residents Regarding Physical Activity’ in accordance with Health Belief Model (HBM) constructs. The correlations between HBM constructs and PA levels were analyzed and a regression-based path analysis was conducted to examine the relationships between HBM constructs and PA levels. Results A total of 180 residents with a mean age of 82.5 years (standard deviation = 5.76) were recruited. Linear regression analysis revealed that self-efficacy (p p p Conclusion The residents’ self-efficacy, perceived severity, and cues to action were found to be important factors that can affect the design and implementation of educational programs for PA. A better understanding of such associations may help healthcare providers design informed educational interventions to increase PA levels among nursing home residents.

Aims/hypothesis This study aimed to investigate whether the effects of sleep duration interacted with the presence of diabetes. We specifically sought to examine the relationship between sleep duration and all-cause and cause-specific mortality in people with type 2 diabetes across sex, age at diagnosis, duration of diabetes and treatment type. Methods The sample consisted of 273,029 adults, including 248,817 without diabetes and 24,212 with type 2 diabetes, who participated in the National Health Interview Survey from 2004 to 2013 and whose data were linked to a mortality database up to 31 December 2015. Sleep duration was measured using self-report, whereby participants were asked ‘on average how long do you sleep each day (≤5, 6, 7, 8, 9 or ≥10 h/day)?’ The relationship between sleep duration and mortality risk was investigated using Cox proportional hazards regression model, with adjustments for demographics, BMI, lifestyle behaviours and clinical variables. Results Absolute mortality rate was higher in adults with diabetes and extremes of sleep duration (≤5 h/day, 215.0 per 10,000 person-years; ≥10 h/day, 363.5 per 10,000 person-years). There was a non-significant interaction between sleep duration and the presence of diabetes (p for interaction = 0.08). A J-shaped relationship existed between sleep duration and all-cause mortality risk in people with type 2 diabetes. Compared with the reference group (7 h/day), both shorter and longer sleep durations were associated with increased risk of all-cause mortality (≤5 h/day, HR 1.24 [95% CI 1.09, 1.40]; 6 h/day, HR 1.13 [1.01, 1.28]; 8 h/day, HR 1.17 [1.06, 1.30]; ≥10 h/day, HR 1.83 [1.61, 2.08]). Similar associations were also observed for mortality risk from CVD, cancer, kidney disease, Alzheimer’s disease and chronic lower respiratory diseases. Longer sleep duration in those with a younger age at diabetes onset was associated with greater risks of all-cause and CVD mortality. Shorter sleep duration in individuals treated with both insulin and oral glucose-lowering medication was also associated with higher risks of all-cause and CVD mortality. Conclusions/interpretation The associations between sleep duration and mortality risk may be different between diabetic and non-diabetic individuals. In people with type 2 diabetes, sleeping less or more than 7 h/day was associated with increased risk of all-cause and condition-specific mortality. The association was more prominent in those with a younger age at diabetes onset and receiving treatment with both oral glucose-lowering medication and insulin. This population may benefit from targeted sleep-related interventions to reduce the risks of adverse health outcomes.

Objective To review the evidence on diagnostic accuracy of ultrasonography for detecting correct nasogastric tube (NGT) placement in adults compared to X-ray as the reference standard. Methods This is a systematic review and meta-analysis of observational studies, searched in the literature between 1961 and 2015. We included studies which compared the diagnostic accuracy of ultrasonography detection for NGT placement with X-ray in adult patients who were undergoing NGT placement for any reason in any care setting. We searched published studies in the following electronic databases: Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, CINAHL, Web of Science, WanFang Data, China Journal Net, and the Chinese Biomedical Literature Database. Both English and non-English-language articles were retrieved. Risk of bias was assessed using a standard procedure according to the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) criteria. Results We included five studies involving a total of 420 adult patients undergoing nasogastric tube placement: three trials were undertaken in mechanically ventilated patients in prehospital settings and two involved participants with comma or severe trauma in emergency room or intensive care unit (ICU). Pooled results showed that ultrasonography had a sensitivity of 0.93 (95% CI 0.87 to 0.97), and specificity of 0.97 (95% CI 0. 23 to 1.00), suggesting that diagnostic performance of ultrasound is useful to confirm correct NGT placement, but not optimal to detect incorrect NGT position. This was confirmed through a summary receiver operator characteristics (SROC) curve that showed the area under the curve was 0.96 (95% CI 0.94 to 0.98). Discussion The main limitation of the review is the relatively moderate level of heterogeneity of included studies which may partially undermine the reliability and reproducibility of results. The insufficient studies included did not allow identification of possible sources of heterogeneity and exploration of reporting bias. Due to heterogeneity of studies, the diagnostic performance of ultrasonography could only be drawn cautiously. Physicians and nurses should perform routine X-ray if visualization of NGT is not possible. More well designed studies exploring ultrasound as a diagnostic tool for accuracy of NGT placement are needed to strengthen the current evidence.

INTRODUCTION: The objective was to evaluate diagnostic performance of multiple methods used to assess gastric tube placement verification in neonates, infants, and children. METHODS: A systematic review using the methods outlined in the Cochrane Handbook for Reviews of Diagnostic Test Accuracy was conducted. Eight databases were searched. Studies on neonates, infants, and children in which researchers compared different methods for gastric tube placement verification with x-ray reference standard were eligible in the review. RESULTS: Eight studies involving 911 participants that evaluated 9 index tests for gastric tube placement verification were included. Most studies were of moderate methodological quality, and most index tests were assessed in small individual studies. pH testing with cutoff values ≤ 6 for gastric tube position confirmation was the only index test subjected to meta-analysis, with the summary sensitivity and specificity being 0.77 (95% confidence interval [CI] 0.56-0.90) and 0.42 (95% CI 0.16-0.73). Other tests for gastric tube placement verification showed great variations in sensitivities and specificities. DISCUSSION: pH ≤ 6 is not sufficiently accurate to be recommended for gastric tube placement verification in neonates, infants, and children. Diagnostic performance of pH ≤ 4 or 5 and other methods cannot be determined because of the paucity of data and methodological variations in studies. Clinical practice related to the diagnostic tests used will continue to be dictated by local preferences and cost factors, until stronger evidence becomes available.