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Lei WY, Lee JY, Chuang SL, Bair MJ, Chen CL, Wu JY, Wu DC, Tien O'Donnell F, Tien HW, Chen YR, Chiang TH, Hsu YH, Hsu TH, Hsieh PC, Lin LJ, Chia SL, Wu CC, Subeq YM, Wen SH, Chang HC, Lin YW, Sun KP, Chu CH, Wu MS, Graham DY, Chen HH, Lee YC. Eradicating Helicobacter pylori via 13C-urea breath screening to prevent gastric cancer in indigenous communities: a population-based study and development of a family index-case method. Gut 2023; 72:2231-2240. [PMID: 37197905 DOI: 10.1136/gutjnl-2023-329871] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/05/2023] [Indexed: 05/19/2023]
Abstract
OBJECTIVE Screening and eradication of Helicobacter pylori help reduce disparities in the incidence of gastric cancer. We aimed to evaluate its acceptability and feasibility in the indigenous communities and develop a family index-case method to roll out this programme. DESIGN We enrolled residents aged 20-60 years from Taiwanese indigenous communities to receive a course of test, treat, retest and re-treat initial treatment failures with the 13C-urea breath tests and four-drug antibiotic treatments. We also invited the family members of a participant (constituting an index case) to join the programme and evaluated whether the infection rate would be higher in the positive index cases. RESULTS Between 24 September 2018 and 31 December 2021, 15 057 participants (8852 indigenous and 6205 non-indigenous) were enrolled, with a participation rate of 80.0% (15 057 of 18 821 invitees). The positivity rate was 44.1% (95% CI 43.3% to 44.9%). In the proof-of-concept study with 72 indigenous families (258 participants), family members of a positive index case had 1.98 times (95% CI 1.03 to 3.80) higher prevalence of H. pylori than those of a negative index case. The results were replicated in the mass screening setting (1.95 times, 95% CI 1.61 to 2.36) when 1115 indigenous and 555 non-indigenous families were included (4157 participants). Of the 6643 testing positive, 5493 (82.6%) received treatment. According to intention-to-treat and per-protocol analyses, the eradication rates were 91.7% (89.1% to 94.3%) and 92.1% (89.2% to 95.0%), respectively, after one to two courses of treatment. The rate of adverse effects leading to treatment discontinuation was low at 1.2% (0.9% to 1.5%). CONCLUSION A high participation rate, a high eradication rate of H. pylori and an efficient rollout method indicate that a primary prevention strategy is acceptable and feasible in indigenous communities. TRIAL REGISTRATION NUMBER NCT03900910.
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Affiliation(s)
- Wei-Yi Lei
- Department of Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien County, Taiwan
| | - Jian-Yu Lee
- Wulai District Public Health Center, Department of Health, New Taipei City Government, New Taipei City, Taiwan
| | - Shu-Ling Chuang
- Department of Medical Research, National Taiwan University Hospital, Taipei City, Taiwan
| | - Ming-Jong Bair
- Division of Gastroenterology, Department of Internal Medicine, Taitung branch of Mackay Memorial Hospital, Taitung County, Taiwan
| | - Chien-Lin Chen
- Department of Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation and Tzu Chi University, Hualien County, Taiwan
| | - Jeng-Yih Wu
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Deng-Chyang Wu
- Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Felice Tien O'Donnell
- Department of Emergency and Critical Care Medicine, Cheng Hsin General Hospital, Taipei City, Taiwan
| | - Hui-Wen Tien
- Sioulin District Public Health Center, Hualien County Health Bureau, Hualien County, Taiwan
| | - Yi-Ru Chen
- Department of Internal Medicine, National Taiwan University College of Medicine, Taipei City, Taiwan
| | - Tsung-Hsien Chiang
- Department of Internal Medicine, National Taiwan University College of Medicine, Taipei City, Taiwan
| | - Yu-Hsin Hsu
- Health Promotion Administration, Ministry of Health and Welfare, Taipei City, Taiwan
| | - Tsui-Hsia Hsu
- Health Promotion Administration, Ministry of Health and Welfare, Taipei City, Taiwan
| | - Pei-Chun Hsieh
- Health Promotion Administration, Ministry of Health and Welfare, Taipei City, Taiwan
| | - Li-Ju Lin
- Health Promotion Administration, Ministry of Health and Welfare, Taipei City, Taiwan
| | - Shu-Li Chia
- Health Promotion Administration, Ministry of Health and Welfare, Taipei City, Taiwan
| | - Chao-Chun Wu
- Health Promotion Administration, Ministry of Health and Welfare, Taipei City, Taiwan
| | - Yi-Maun Subeq
- Department of Nursing, College of Health, National Taichung University of Science and Technology, Taichung City, Taiwan
| | - Shu-Hui Wen
- Department of Public Health, Tzu Chi University, Hualien County, Taiwan
| | - Hsiu-Chun Chang
- Public Health Bureau, Pingtung County Government, Pingtung County, Taiwan
| | - Yu-Wen Lin
- Public Health Bureau, Taitung County Government, Taitung County, Taiwan
| | - Kuo-Ping Sun
- Public Health Bureau, Taitung County Government, Taitung County, Taiwan
| | - Chia-Hsiang Chu
- Hualien County Health Bureau, Hualien County Government, Hualien County, Taiwan
| | - Ming-Shiang Wu
- Department of Internal Medicine, National Taiwan University College of Medicine, Taipei City, Taiwan
| | - David Y Graham
- Department of Medicine, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Hsiu-Hsi Chen
- Division of Biostatistics, Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan
| | - Yi-Chia Lee
- Department of Medical Research, National Taiwan University Hospital, Taipei City, Taiwan
- Department of Internal Medicine, National Taiwan University College of Medicine, Taipei City, Taiwan
- Division of Biostatistics, Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan
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Li W, Zhao LZ, Ma DW, Wang DZ, Shi L, Wang HL, Dong M, Zhang SY, Cao L, Zhang WH, Zhang XP, Zhang QH, Yu L, Qin H, Wang XM, Chen SLS. Predicting the risk for colorectal cancer with personal characteristics and fecal immunochemical test. Medicine (Baltimore) 2018; 97:e0529. [PMID: 29718843 PMCID: PMC6392567 DOI: 10.1097/md.0000000000010529] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
We aimed to predict colorectal cancer (CRC) based on the demographic features and clinical correlates of personal symptoms and signs from Tianjin community-based CRC screening data.A total of 891,199 residents who were aged 60 to 74 and were screened in 2012 were enrolled. The Lasso logistic regression model was used to identify the predictors for CRC. Predictive validity was assessed by the receiver operating characteristic (ROC) curve. Bootstrapping method was also performed to validate this prediction model.CRC was best predicted by a model that included age, sex, education level, occupations, diarrhea, constipation, colon mucosa and bleeding, gallbladder disease, a stressful life event, family history of CRC, and a positive fecal immunochemical test (FIT). The area under curve (AUC) for the questionnaire with a FIT was 84% (95% CI: 82%-86%), followed by 76% (95% CI: 74%-79%) for a FIT alone, and 73% (95% CI: 71%-76%) for the questionnaire alone. With 500 bootstrap replications, the estimated optimism (<0.005) shows good discrimination in validation of prediction model.A risk prediction model for CRC based on a series of symptoms and signs related to enteric diseases in combination with a FIT was developed from first round of screening. The results of the current study are useful for increasing the awareness of high-risk subjects and for individual-risk-guided invitations or strategies to achieve mass screening for CRC.
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Affiliation(s)
- Wen Li
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Li-Zhong Zhao
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Dong-Wang Ma
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - De-Zheng Wang
- Non-Communicable Disease Control and Prevention, Tianjin Centers for Disease Control and Prevention
| | - Lei Shi
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Hong-Lei Wang
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Mo Dong
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Shu-Yi Zhang
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Lei Cao
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Wei-Hua Zhang
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Xi-Peng Zhang
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Qing-Huai Zhang
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Lin Yu
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Hai Qin
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Union Medical Center
| | - Xi-Mo Wang
- Department of Epidemiology, Tianjin Colorectal and Anal Disease Research Institute
- Department of Gastroenterology, Tianjin Nankai Hospital, Tianjin, P.R. China
| | - Sam Li-Sheng Chen
- School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taiwan
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Yen AMF, Boucher BJ, Chiu SYH, Fann JCY, Chen SLS, Huang KC, Chen HH. Longer Duration and Earlier Age of Onset of Paternal Betel Chewing and Smoking Increase Metabolic Syndrome Risk in Human Offspring, Independently, in a Community-Based Screening Program in Taiwan. Circulation 2016; 134:392-404. [PMID: 27448815 DOI: 10.1161/circulationaha.116.021511] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Accepted: 05/18/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND Transgenerational effects of paternal Areca catechu nut chewing on offspring metabolic syndrome (MetS) risk in humans, on obesity and diabetes mellitus experimentally, and of paternal smoking on offspring obesity, are reported, likely attributable to genetic and epigenetic effects previously reported in betel-associated disease. We aimed to determine the effects of paternal smoking, and betel chewing, on the risks of early MetS in human offspring. METHODS The 13 179 parent-child trios identified from 238 364 Taiwanese aged ≥20 years screened at 2 community-based integrated screening sessions were tested for the effects of paternal smoking, areca nut chewing, and their duration prefatherhood on age of detecting offspring MetS at screen by using a Cox proportional hazards regression model. RESULTS Offspring MetS risks increased with prefatherhood paternal areca nutusage (adjusted hazard ratio, 1.77; 95% confidence interval [CI], 1.23-2.53) versus nonchewing fathers (adjusted hazard ratio, 3.28; 95% CI, 1.67-6.43) with >10 years paternal betel chewing, 1.62 (95% CI, 0.88-2.96) for 5 to 9 years, and 1.42 (95% CI, 0.80-2.54) for <5 years betel usage prefatherhood (Ptrend=0.0002), with increased risk (adjusted hazard ratio, 1.95; 95% CI, 1.26-3.04) for paternal areca nut usage from 20 to 29 years of age, versus from >30 years of age (adjusted hazard ratio,1.61; 95% CI, 0.22-11.69). MetS offspring risk for paternal smoking increased dosewise (Ptrend<0.0001) with earlier age of onset (Ptrend=0.0009), independently. CONCLUSIONS Longer duration of paternal betel quid chewing and smoking, prefatherhood, independently predicted early occurrence of incident MetS in offspring, corroborating previously reported transgenerational effects of these habits, and supporting the need for habit-cessation program provision.
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Affiliation(s)
- Amy Ming-Fang Yen
- From School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan (A.M.-F., S.L.-S.C.); Blizard Institute, Barts & The London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom (B.J.B.); Department of Health Care Management, College of Management, Chang Gung University, Tao-Yuan, Taiwan (S.Y.-H.C.); Department of Health Industry Management, School of Healthcare Management, Kainan University, Tao-Yuan, Taiwan (J.C.-Y.F.); Department of Family Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan (K.-C.H.); and Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (H.-H.C.)
| | - Barbara J Boucher
- From School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan (A.M.-F., S.L.-S.C.); Blizard Institute, Barts & The London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom (B.J.B.); Department of Health Care Management, College of Management, Chang Gung University, Tao-Yuan, Taiwan (S.Y.-H.C.); Department of Health Industry Management, School of Healthcare Management, Kainan University, Tao-Yuan, Taiwan (J.C.-Y.F.); Department of Family Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan (K.-C.H.); and Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (H.-H.C.)
| | - Sherry Yueh-Hsia Chiu
- From School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan (A.M.-F., S.L.-S.C.); Blizard Institute, Barts & The London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom (B.J.B.); Department of Health Care Management, College of Management, Chang Gung University, Tao-Yuan, Taiwan (S.Y.-H.C.); Department of Health Industry Management, School of Healthcare Management, Kainan University, Tao-Yuan, Taiwan (J.C.-Y.F.); Department of Family Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan (K.-C.H.); and Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (H.-H.C.)
| | - Jean Ching-Yuan Fann
- From School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan (A.M.-F., S.L.-S.C.); Blizard Institute, Barts & The London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom (B.J.B.); Department of Health Care Management, College of Management, Chang Gung University, Tao-Yuan, Taiwan (S.Y.-H.C.); Department of Health Industry Management, School of Healthcare Management, Kainan University, Tao-Yuan, Taiwan (J.C.-Y.F.); Department of Family Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan (K.-C.H.); and Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (H.-H.C.)
| | - Sam Li-Sheng Chen
- From School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan (A.M.-F., S.L.-S.C.); Blizard Institute, Barts & The London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom (B.J.B.); Department of Health Care Management, College of Management, Chang Gung University, Tao-Yuan, Taiwan (S.Y.-H.C.); Department of Health Industry Management, School of Healthcare Management, Kainan University, Tao-Yuan, Taiwan (J.C.-Y.F.); Department of Family Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan (K.-C.H.); and Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (H.-H.C.)
| | - Kuo-Chin Huang
- From School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan (A.M.-F., S.L.-S.C.); Blizard Institute, Barts & The London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom (B.J.B.); Department of Health Care Management, College of Management, Chang Gung University, Tao-Yuan, Taiwan (S.Y.-H.C.); Department of Health Industry Management, School of Healthcare Management, Kainan University, Tao-Yuan, Taiwan (J.C.-Y.F.); Department of Family Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan (K.-C.H.); and Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (H.-H.C.)
| | - Hsiu-Hsi Chen
- From School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan (A.M.-F., S.L.-S.C.); Blizard Institute, Barts & The London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom (B.J.B.); Department of Health Care Management, College of Management, Chang Gung University, Tao-Yuan, Taiwan (S.Y.-H.C.); Department of Health Industry Management, School of Healthcare Management, Kainan University, Tao-Yuan, Taiwan (J.C.-Y.F.); Department of Family Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan (K.-C.H.); and Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan (H.-H.C.).
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Effectiveness of advice from physician and nurse on smoking cessation stage in Taiwanese male smokers attending a community-based integrated screening program. Tob Induc Dis 2016; 14:15. [PMID: 27110231 PMCID: PMC4841961 DOI: 10.1186/s12971-016-0080-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Accepted: 04/12/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A screening program provides a teachable moment for primary prevention such as encouraging smoking cessation. However, little is known about the efficacy of smoking cessation intervention delivered to the general population through a community-based screening program. METHODS A quasi-experimental untreated control design with pre-test and post-test was conducted with 42 subjects receiving advice from physician and nurses (the PNA group), 39 receiving an informational leaflet (the leaflet group), and 308 control subjects. RESULTS The overall rate of reaching the action stage was 25 %, 5.7 %, and 7.8 in the PNA group, the leaflet group, and the control group, respectively. In approximately 45-60 % of all participants, the stage remained unchanged. Such an association between the intervention groups and stage changes was statistically significant (p = 0.02). The PNA group was more likely to have the improvement of stage (forward transition toward action stage) than the control group [adjusted odds ratio (aOR) = 2.27 (1.07-4.84)]. Deterioration (backward transition toward precontemplation) in the PNA intervention group was 37 % lower than that in the control group [aOR = 0.63 (0.20-2.01)]. CONCLUSIONS This study demonstrated that smoking cessation advice from physician and nurse is conducive to smoking cessation, as shown by greater movement toward and less movement away from smoking cessation through a community-based integrated screening platform.
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Abstract
Rupture of an intracranial aneurysm is the most common cause of subarachnoid haemorrhage (SAH), which is a life-threatening acute cerebrovascular event that typically affects working-age people. The exact prevalence of unruptured intracranial aneurysms (UIAs) is unknown, but at least one in 20 to 30 adults is likely to carry an asymptomatic UIA. Approximately one quarter of these UIAs rupture in a lifetime. Complex methodological challenges in conducting studies of epidemiology and risk factors for UIAs and SAH might have led to conclusions being drawn on the basis of epidemiological data of variable quality. We believe that, as a result, misconceptions about UIAs and SAH may have arisen. In this Perspectives article, we discuss three possible misconceptions about the epidemiology of UIAs and SAH, and suggest how the quality of future research could be improved.
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Affiliation(s)
- Miikka Korja
- Department of Neurosurgery, University of Helsinki and Helsinki University Hospital, P.O. BOX 266, FI-00029 HUS, Finland
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, P.O. BOX 41, FI-00014 Helsinki, Finland
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Luh DL, Chen HH, Yen AMF, Wang TT, Chiu SYH, Fann CY, Chen SLS. Effect of self-reported home smoking restriction on smoking initiation among adolescents in Taiwan: a prospective cohort study. BMJ Open 2015; 5:e007025. [PMID: 26116613 PMCID: PMC4486945 DOI: 10.1136/bmjopen-2014-007025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE The aims of this study were to investigate the influence of home smoking restriction (HSR) and the modified effect of parental smoking on smoking initiation among adolescents. DESIGN Prospective Cohort Study. SETTING Junior high school in Keelung City, Taiwan. PARTICIPANTS This study collected and evaluated primary data from the Adolescent Smoking and Other Health-Related Behaviour Survey conducted in Keelung City, which aimed to investigate smoking and health-related behaviours in junior high school students (2008-2009). Data on students free of smoking in 2008 and following them until 2009 (n=901) to ascertain whether they had started smoking were analysed with logistic regression mode to examine the proposed postulates. MAIN OUTCOME MEASURE The outcome variable was smoking initiation, which was defined as smoking status (yes/no) in the 2009 follow-up questionnaire. The main independent variable was HSR obtained from an adolescent self-reported questionnaire. Information on parental smoking was measured by adolescents self-reporting the smoking behaviour of their father and mother. RESULTS The rate of HSR was 29.79% among 7th grade adolescents. The effect of HSR on smoking initiation in adolescents was statistically significantly modified by paternal smoking (p=0.04) but not by maternal smoking (p=0.54). The effect of HSR on smoking initiation was small for fathers with the habit of smoking (OR=0.89, 95% CI (0.42 to 1.88)), but the corresponding effect size was 3.2-fold (OR=2.84, 95% CI 1.19 to 6.81) for fathers without the habit of smoking. CONCLUSIONS Paternal smoking behaviour may play an interactive role with HSR in preventing smoking initiation among Taiwanese adolescents.
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Affiliation(s)
- Dih-Ling Luh
- School of Public Health, Chung Shan Medical University, Taichung, Taiwan
- Department of Family and Community Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Hsiu-Hsi Chen
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Amy Ming-Fang Yen
- School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ting-Ting Wang
- School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan
| | - Sherry Yueh-Hsia Chiu
- Department and Graduate Institute of Health Care Management, Chang Gung University, Taoyuan, Taiwan
| | - Ching-Yuan Fann
- Department of Health Industry Management, School of Healthcare Management, Kainan University, Taoyuan, Taiwan
| | - Sam Li-Sheng Chen
- School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan
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Jiang X, Tse K, Wang S, Doan S, Kim H, Ohno-Machado L. Recent trends in biomedical informatics: a study based on JAMIA articles. J Am Med Inform Assoc 2013; 20:e198-205. [PMID: 24214018 PMCID: PMC3861936 DOI: 10.1136/amiajnl-2013-002429] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
In a growing interdisciplinary field like biomedical informatics, information dissemination and citation trends are changing rapidly due to many factors. To understand these factors better, we analyzed the evolution of the number of articles per major biomedical informatics topic, download/online view frequencies, and citation patterns (using Web of Science) for articles published from 2009 to 2012 in JAMIA. The number of articles published in JAMIA increased significantly from 2009 to 2012, and there were some topic differences in the last 4 years. Medical Record Systems, Algorithms, and Methods are topic categories that are growing fast in several publications. We observed a significant correlation between download frequencies and the number of citations per month since publication for a given article. Earlier free availability of articles to non-subscribers was associated with a higher number of downloads and showed a trend towards a higher number of citations. This trend will need to be verified as more data accumulate in coming years.
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Affiliation(s)
- Xiaoqian Jiang
- Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, California, USA
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Abstract
OBJECTIVE Metabolic syndrome (MetS) is reportedly associated with mental disorders that are known to increase the risk of suicide. However, it is not known whether this association is independent of other risk indicators of suicide. This study therefore investigated whether metabolic abnormalities increase the risk of suicide during a 10-year follow-up period. METHODS This prospective study enrolled participants from a community-based integrated screening samples cohort in Taiwan. Of the 76,297 people recruited for this study, 12,094 had MetS at baseline. The independent variables were MetS and its components such as high blood pressure and high blood lipid levels. The outcome was death from suicide (n = 146). RESULTS MetS was associated with an increased risk of suicide risk by 16% per MetS component (95% confidence interval [CI] = 1%-33%), adjusting for demographics, life-style factors, and clinical correlates. Of the five MetS components, elevated blood pressure was independently associated with suicide-related mortality (adjusted hazard ratio [aHR] = 1.49, 95% CI = 1.03-2.15). CONCLUSIONS This analysis of community-based longitudinal data showed that MetS and its components, particularly elevated blood pressure, correlated positively with suicide risk after controlling other factors. Therefore, public mental health interventions targeting suicide reduction may need to specifically focus on individuals with hypertension and other components of the MetS.
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