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Objective: Unlike rating scales that focus on the severity of ADHD symptoms, the Strengths and Weaknesses of ADHD-Symptoms and Normal-Behaviors (SWAN) rating scale is phrased in neutral or positive terms for carers to compare the index child's behaviors with that of their peers. This study explores its psychometric properties when applied to Chinese children in Hong Kong. Method: Ratings from the Chinese SWAN scale collected from parents and teachers of a community sample of 3,722 6- to 12-year-old students recruited by stratified random sampling were compared with 247 clinic children with a diagnosis of ADHD. Reliability, validity, factor structure, and cutoff scores were calculated. Results: Favorable psychometrics and a two-factor structure identical to the original were reproduced. Cutoff scores were supported by satisfactory sensitivities and specificities. Conclusion: The SWAN scale is a reliable and valid instrument for the assessment of ADHD symptoms in Chinese children in Hong Kong. (Contains 4 tables.)

Background: Adipose tissue inflammation and dysregulated adipokine secretion are implicated in obesity-related insulin resistance and type 2 diabetes. We evaluated the use of serum adiponectin, an anti-inflammatory adipokine, and several proinflammatory adipokines, as biomarkers of diabetes risk and whether they add to traditional risk factors in diabetes prediction. Methods: We studied 1300 non-diabetic subjects from the prospective Hong Kong Cardiovascular Risk Factor Prevalence Study (CRISPS). Serum adiponectin, tumor necrosis factor-alpha receptor 2 (TNF-a R2), interleukin-6 (IL-6), adipocyte-fatty acid binding protein (A-FABP) and high-sensitivity C-reactive protein (hsCRP) were measured in baseline samples. Results: Seventy-six participants developed diabetes over 5.3 years (median). All five biomarkers significantly improved the log-likelihood of diabetes in a clinical diabetes prediction (CDP) model including age, sex, family history of diabetes, smoking, physical activity, hypertension, waist circumference, fasting glucose and dyslipidaemia. In ROC curve analysis, ''adiponectin + TNF-a R2'' improved the area under ROC curve (AUC) of the CDP model from 0.802 to 0.830 (P = 0.03), rendering its performance comparable to the ''CDP + 2-hour post-OGTT glucose'' model (AUC = 0.852, P = 0.30). A biomarker risk score, derived from the number of biomarkers predictive of diabetes (low adiponectin, high TNF-a R2), had similar performance when added to the CDP model (AUC = 0.829 [95% CI: 0.808-0.849]). Conclusions: The combined use of serum adiponectin and TNF-α R2 as biomarkers provided added value over traditional risk factors for diabetes prediction in Chinese and could be considered as an alternative to the OGTT. [ABSTRACT FROM AUTHOR]

Objective: To investigate whether circulating levels of fibroblast growth factor 21 (FGF21), which previously has been shown to be elevated in obesity, could predict the development of type 2 diabetes in a 5.4-year, population-based, prospective study.Research Design and Methods: Baseline plasma FGF21 levels were measured using an enzyme-linked immunosorbent assay in 1,900 subjects from the Hong Kong Cardiovascular Risk Factor Prevalence Study (CRISPS). The prospective association of FGF21 with diabetes development over 5.4 years was analyzed using multiple logistic regression.Results: At baseline, plasma levels of FGF21 increased progressively with worsening dysglycemia from normal glucose tolerance, through prediabetes, to diabetes (global trend, P < 0.001). Of 1,292 subjects without diabetes at baseline, a high baseline FGF21 level was a strong independent predictor for diabetes development (odds ratio 1.792; P < 0.01), together with waist circumference and fasting plasma glucose levels.Conclusions: Plasma FGF21 levels were significantly increased in subjects with prediabetes and diabetes and predicted the development of diabetes in humans. [ABSTRACT FROM AUTHOR]

OBJECTIVE--To investigate whether circulating levels of fibroblast growth factor 21 (FGF21), which previously has been shown to be elevated in obesity, could predict tire development of type 2 diabetes in a 5.4-year, population-based, prospective study. RESEARCH DESIGN AND METHODS--Baseline plasma FGF21 levels were measured using an enzyme-linked immunosorbent assay in 1,900 subjects from the Hong Kong Cardiovascular Risk Factor Prevalence Study (CRISPS). The prospective association of FGF21 with diabetes development over 5.4 years was analyzed using multiple logistic regression. RESULTS--At baseline, plasma levels of FGF21 increased progressively with worsening dysglycemia from normal glucose tolerance, through prediabetes, to diabetes (global trend, P < 0.001). Of 1,292 subjects without diabetes at baseline, a high baseline FGF21 level was a strong independent predictor for diabetes development (odds ratio 1.792; P < 0.01), together with waist circumference and fasting plasma glucose levels. CONCLUSIONS--Plasma FGF2f levels were significantly increased in subjects with prediabetes and diabetes and predicted the development of diabetes in humans. [ABSTRACT FROM AUTHOR]

Purpose: Postoperative monitoring of respiratory status on general care wards typically consists of intermittent checks of oxyhemoglobin saturation and respiratory rate, allowing substantial unmonitored time for severe opioid induced respiratory depression (RD) to develop unnoticed. Oxygen desaturation index (ODI) can be computed solely by continuous pulse oximetry monitoring. In this post-hoc analysis, we evaluate whether nocturnal ODI correlates with RD., Patients and Methods: The PRODIGY trial (NCT02811302) was a multinational study conducted where adult patients receiving parenteral opioids on the general care floor were continuously monitored by blinded pulse oximetry and capnography monitoring to detect episodes of RD. An RD episode was defined as: respiratory rate ≤5 breaths/min (bpm) for ≥3 minutes, oxygen saturation (SpO 2 ) ≤85% for ≥3 minutes, end-tidal carbon dioxide (EtCO 2 ) ≤15 or ≥60 mm Hg for ≥3 minutes, apnea episode lasting >30 seconds, or any respiratory opioid-related adverse event. Data were used to calculate nocturnal (00:00 ─ 06:00) ODI4% based on desaturation episodes (4% decrease from mean oxyhemoglobin saturation in the past 120 seconds, lasting ≥10 seconds). Continuous monitoring began after a patient received parenteral opioids, allowing identification of potential RD and ODI4% episodes during opioid therapy. The average number of ODI4% episodes (≥1, ≥5, ≥10, ≥15 episodes/hour) were analyzed. Logistic regression and area under the receiver operating characteristic curve (AUC) were computed., Results: A final cohort of 1072 (out of 1335) patients had sufficient data, with 76% (N=817/1072) having ≥1 episode of ODI4%. Multivariable logistic regression showed that ODI4% was strongly associated with RD, with greater risk for higher ODI4% scores: ≥5 episodes/hour odds ratio 2.59 (95% CI 1.72-3.89, p<0.0001); ≥10 episodes/hour 3.39 (95% CI 1.80-6.39, p=0.0002); ≥15 episodes/hour 4.71 (95% CI 1.93-11.47, p=0.0006).There was no significant association between ODI4% and respiratory adverse events., Conclusion: Nocturnal ODI4% was highly correlated with RD among hospitalized patients receiving parenteral opioids. Patients with a high ODI4%, especially with ≥15 episodes/hour, are more likely to experience RD and should be evaluated for the need of closer monitoring after opioid administration., Competing Interests: KEL and FDP report Medtronic employment. TNW received consulting fees from Medtronic and Merck. AKK reports consulting fees from Medtronic, Edwards Lifesciences, Philips North America, GE Healthcare, Retia Medical, Potrero Medical, Caretaker Medical, and Trevena Pharmaceuticals, outside the submitted work. The authors report no other conflicts of interest in this work., (© 2022 Liew et al.)

Baseline haemoglobin A1c had a higher standardized hazard ratio, and more optimal sensitivity and specificity than fasting glucose in predicting the 8-year incidence of diabetes among 530 non-diabetic Chinese from the population-based Hong Kong Cardiovascular Risk Factor Prevalence Study., (Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.)

This study examined the effects of three versions of school-based stigma reduction programs against mental illness - education, education followed by video-based contact (education-video), and video-based contact followed by education (video-education). The participants, 255 students from three secondary schools in Hong Kong, completed measures of stigmatizing attitudes (Public Stigma Scale), social distance (Social Distance Scale), and knowledge about schizophrenia (Knowledge Test) at pre-test, post-test, and 1-month follow-up. Results suggested that adding video-based contact to education could significantly improve program effectiveness only when video-based contact was presented after but not prior to education. In comparison with the education condition, the education-video condition showed larger improvements in stigmatizing attitudes at post-test, in social distance at both post-test and follow-up, and in knowledge at follow-up. However, such differences were not observed when the education condition was compared with the video-education condition. Implications of these findings for future research are discussed.