The use of Q-switched Alexandrite (QS Alex) laser in the treatment of acquired bilateral nevus of Ota-like macules (ABNOM)

published_or_final_versio

New anti-smoking legislation on youth smoking and quitting behaviours via a smoking cessation hotline

published_or_final_versio

Walking in the High-rise City: A Health Enhancement and Pedometer-determined Ambulatory (HEPA) Program in Hong Kong

published_or_final_versio

When will youth smokers make a quit attempt and resume smoking after receiving telephone counseling? A longitudinal study

Paper Session 10 - Adolescent Smoking Cessation: PA10-1OBJECTIVE: To examine the pattern of youth smokers who received telephone smoking cessation intervention and who would initiate a quit attempt and subsequently resume smoking. METHODS: We collected data from a toll-free smoking cessation hotline “Youth Quitline” in Hong Kong from September 2005 to December 2007. The Youth Quitline is a peer-led hotline with multiple telephone counseling sessions at baseline, 1-week and 1-month and successive telephone follow-ups at 3- and 6-months, to help youth smokers aged 12 – 25 quit smoking. We applied non-parametric Kaplan-Meier method to explore the time trend prior to initiating a quit attempt as well as smoking resumption. RESULTS: The study included 408 youth callers, and 282 started quitting within the follow-up period. About 30% of the youth smokers (95%CI = 26 ￢– 35%) would initiate a quit attempt within 7 days after receiving the baseline telephone intervention. For the 282 callers who quit within the follow-up period, two-thirds (67%, 95%CI = 44 – 56%) resumed smoking within the first 7 days after their quit attempt. CONCLUSIONS: This is the first study using survival analysis techniques to evaluate how soon youth smokers initiate their quit attempts and resume smoking, after receiving telephone counseling. Youth smokers who intend to quit initiate a quit attempt shortly after receiving the telephone intervention. Smoking cessation counselors should provide subsequent follow-ups promptly after the baseline intervention to capitalize on the quitting intentions of the smokers.postprintThe 16th Annual Meeting of the Society for Research on Nicotine and Tobacco (SRNT 2010), Baltimore, MD., 24-27 February 2010. In Proceedings of the SRNT, 2010, p. 2

Walking in the cement forest: a health enhancement and pedometer-determined ambulatory (HEPA) program in Hong Kong

Congress Theme: A Celebration of Diversity and Inclusion in Active AgeingThis journal suppl.entitled: Supplement issue: Abstracts for the 8th World Congress on Ageing and Physical Activitypublished_or_final_versionThe 8th Annual World Congress on Active Ageing (WCAA): A Celebration of Diversity and Inclusion in Active Ageing, Glasgow, Scotland, UK, 13 -17 August 2012. In Journal of Aging and Physical Activity, 2012, v. 20, Suppl., p. S226-S22

A proactive family smoking cessation intervention for parents of children 0-18 months: a randmoised controlled trial

Parallel Session 1 – Population Health & Policy: abstract no. S1Symposium Theme: Translating Health Research into Policy and Practice for Health of the Populationpublished_or_final_versio

A family smoking cessation intervention for parents of children 0-18 months: a randomized controlled trial

Oral Session 23: 24-Health Promotion in the Community &19- Global Warning,Sustainable Earth and Health (English Session)Conference Theme: Empowerment for Healthy Settings - Healthy City and Community, Healthy School and University, Healthy Hospital and Healthy Workplace.Aim: This is a single-blinded, multi-site randomized controlled trial aiming to evaluate the effectiveness of a proactive multi-step theory-based family smoking cessation intervention delivered by smoking cessation nurses to non-smoking mothers and smoking fathers, to protect their infants from exposure to household second-hand smoke and to help the fathers quit smoking. Methods: A total of 24,315 families were screened at 22 Maternal Child Health Centres in 2008- 2010. 1,158 families with smoking father, non-smoking mother and an infant under 18-month were randomized into intervention and control groups. The intervention group received face-to-face and telephone counselling (mothers) on executing a complete household-no smoking policy and supporting their husbands to quit smoking; 3 telephone smoking cessation counselling sessions (fathers); an additional face-to-face family intervention session with NRT (if necessary); and a smoke-free kit with health education materials. The control group received a pamphlet about smokefree home (mothers) and a self-help smoking cessation pamphlet (fathers). All families were followed up at 6- and 12-month to assess the fathers’ smoking status, implementation of household smoking policy (mothers), role of mothers’ general self-efficacy to assist fathers quit smoking, change in marital relationship (both spouses), and the utilization of health services (infants) .....published_or_final_versio

Simple Non-laboratory- and Laboratory-based Risk Assessment Algorithms and Nomogram for Detecting Undiagnosed Diabetes Mellitus

Background: To develop a simple nomogram which can be used to predict the risk of diabetes mellitus (DM) in asymptomatic non-diabetic general population based on non-laboratory-based and laboratory-based risk algorithms. Methods: Anthropometric data, plasma fasting glucose, full lipid profile, exercise habit and family history of DM were collected from Chinese non-diabetic subjects aged 18-70. Logistic regression analysis was performed on the data of a random sample of 2518 subjects to construct non-laboratory-based and laboratory-based risk assessment algorithms for the detection of undiagnosed DM; both algorithms were validated on the data of the remaining sample (n=839). Hosmer-Lemeshow χ2 statistic and area under the receiver-operating characteristic curve (AUC) were employed to assess the calibration and discrimination of the different DM risk algorithms. Results: Of 3357 subjects recruited, 271 (8.1%) had undiagnosed DM defined by fasting glucose≥7.0mmol/L or 2-hour post-load plasma glucose≥11.1mmol/L after oral glucose tolerance test. The non-laboratory-based risk algorithm, with score ranging from 0 to 33, included age, body mass index, family history of DM, regular exercise and uncontrolled blood pressure; the laboratory-based risk algorithm, with score ranging from 0 to 37, added triglyceride level to the risk factors. Both algorithms demonstrated acceptable calibration (Hosmer-Lemeshow test: P=0.229 and P=0.483, respectively) and discrimination (AUC: 0.709 and 0.711, respectively) for the detection of undiagnosed DM. The optimal cutoff point on the receiver-operating characteristic curve was 18 for the detection of undiagnosed DM in both algorithms. Conclusions: Simple-to-use nomogram for detecting undiagnosed DM has been developed using the validated non-laboratory-based and laboratory-based risk algorithms.postprin

Connect - August 2004

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An evaluation of a randomized controlled trial of a family intervention for smoking fathers to quit in Hong Kong: a 12-months follow-Up

Poster Presentation: PRR11postprintThe 13th Annual Congress of the Society for Research on Nicotine and Tobacco (SRNT-Europe), Antalya, Turkey, 8-11 September 2011. In Abstract book of the 13th Annual Meeting of SRNT-Europe, 2011, p. 19