Journal of Preventive Medicine and Public Health

Jun Hyun Hwang

3 Articles

Age at Smoking Initiation and Subsequent Smoking Among Korean Adolescent Smokers: Jun Hyun Hwang, Soon-Woo Park; J Prev Med Public Health. 2014;47(5):266-272. Published online September 12, 2014; DOI: https://doi.org/10.3961/jpmph.14.032

14,142 View
130 Download
28 Crossref

Objectives
The aim of this study was to investigate the relationship between age at cigarette smoking initiation and smoking level among adolescent current smokers. Methods: In 2007, students from one or two classes of the 10th or 11th grade were randomly selected using the probability proportional to size sampling method. In total, 743 current smokers were included. Multiple logistic regression was used to determine the association between age at smoking initiation and smoking level as either frequent, daily, or heavy smokers. Results: The adjusted odds ratios for each smoking level were significantly higher for younger ages of smoking initiation than those for older ages of initiation were (p for trend <0.001). Compared with the students who started smoking in grades 10 to 11, the adjusted odds ratios for frequent, daily, and heavy smokers increased from 2.24 (95% confidence interval [CI], 1.30 to 3.87) to 3.90 (95% CI, 2.02 to 7.56), from 1.56 (95% CI, 0.92 to 2.62) to 3.17 (95% CI, 1.70 to 5.92), and from 2.56 (95% CI, 1.21 to 5.42) to 5.67 (95% CI, 2.61 to 12.30) with younger ages of smoking initiation. Conclusions: Smoking frequency and amount were closely associated with age at smoking initiation. Therefore, smoking prevention programs should be initiated from the young adolescent period.

Summary

Citations

Citations to this article as recorded by

Greater smoking intensity may be linked to early smoking initiation among Filipinos: Evidence from the 2021 Global Adult Tobacco Survey Philippines
Samuel Brando H. Piamonte
Tobacco Prevention & Cessation.2024; 10(November): 1. CrossRef
Modeling the determinants of smoking behavior among young adults in Khuzestan province: a two-level count regression approach
Homayoun Satyar, Kambiz Ahmadi Angali, Somayeh Ghorbani, Naser Kamyari, Maryam Seyedtabib
Frontiers in Public Health.2024;[Epub] CrossRef
Age, Period, and Cohort Analysis of Smoking Intensity Among Current Smokers in Malaysia, 1996–2015
Chien Huey Teh, Sanjay Rampal, Kuang Hock Lim, Omar Azahadi, Aris Tahir
Nicotine and Tobacco Research.2023; 25(7): 1340. CrossRef
Relationships of Child-, Parents-, and Environment-Associated Determinants with Diet Quality, Physical Activity, and Smoking Habits Among Indonesian Urban Adolescents
Rina Agustina, Davrina Rianda, Evania Astella Setiawan
Food and Nutrition Bulletin.2022; 43(1): 44. CrossRef
Demographics, clinical characteristics and cognitive symptoms of heavy smokers and non-heavy smokers in Chinese male patients with chronic schizophrenia
Shuochi Wei, Dongmei Wang, Huixia Zhou, Luyao Xia, Yang Tian, Qilong Dai, Rongrong Zhu, Wenjia Wang, Dachun Chen, Meihong Xiu, Li Wang, Xiangyang Zhang
European Archives of Psychiatry and Clinical Neuroscience.2022; 272(7): 1325. CrossRef
Assessing the Evidence on the Differential Impact of Menthol versus Non-menthol Cigarette Use on Initiation and Progression to Regular Smoking: A Systematic Review and Meta-analysis
Mimi M. Kim, Geoffrey M. Curtin
American Journal of Health Behavior.2022; 46(2): 143. CrossRef
Analysis of the Accuracy and Related Factors of Self-Reported Smoking Status according to Urinary Cotinine Concentration in Adolescents: The KoNEHS Cycle (2015~2017)
Sunkyoung Jung, Sangshin Park
Journal of Environmental Health Sciences.2022; 48(4): 216. CrossRef
Knowledge, attitude and practice of cigarette smoking among senior secondary school students in Depok, Indonesia
Mochamad Iqbal Nurmansyah, Yuyun Umniyatun, Miftahul Jannah, Agung Taufiqurrokhman Syiroj, Didin Nuruddin Hidayat
International Journal of Adolescent Medicine and Health .2021;[Epub] CrossRef
Factors Associated With Quitting Smoking in Indonesia
Rimawati Aulia Insani Sadarang
Journal of Preventive Medicine and Public Health.2021; 54(2): 137. CrossRef
A Study on Factors Related to Smoking Experience by Sex: Using the National Health and Nutrition Examination Survey (KNHANES IV-VII, 2007-2018)
Yong Whi Jeong, Eun Young Kim
Journal of Health Informatics and Statistics.2021; 46(3): 352. CrossRef
Sex Differences in Multilevel Factors of Smoking Experimentation and Age of Initiation in Korean Adolescents
Eun-Mi Kim, Eunhee Park, Heejung Kim
The Journal of School Nursing.2020; 36(5): 348. CrossRef
The Use of Psychoactive Substances in a Conflict Area in the West Bank: Drug Use Risk Factors and Practices in Palestinian Refugee Camps
Basma R Damiri
International Journal of Mental Health and Addiction.2020; 18(6): 1507. CrossRef
The effect of health information on smoking intensity: does addiction matter?
Sen Zeng, Satoru Shimokawa
Applied Economics.2020; 52(22): 2408. CrossRef
Cigarette Smoking in South Korea: A Narrative Review
Rebekah Gunter, Edwin Szeto, Se-Hoon Jeong, Sooyeon Suh, Andrew J. Waters
Korean Journal of Family Medicine.2020; 41(1): 3. CrossRef
Youth tobacco use in Latin America: What is the real extent of the problem?
M. Urrutia-Pereira, D. Solé, H.J. Chong Neto, H. Badellino, V. Acosta, R.L. Castro-Almarales, M.G. León, M.M. Avalos, C.C. Fernández, J.C. Sisul-Alvariza, V.J. Oliano, P.N. Rinelli
Allergologia et Immunopathologia.2019; 47(4): 328. CrossRef
School Smoking Policies and Health Science Students' Use of Cigarettes, Shisha, and Dipping Tombak in Sudan
Salma El Tayeb El Amin
Frontiers in Public Health.2019;[Epub] CrossRef
Smoking susceptibility among non-smoking school-going adolescents in Malaysia: findings from a national school-based survey
Kuang Hock Lim, Sumarni Mohd Ghazali, Hui Li Lim, Kee Chee Cheong, Chien Huey Teh, Kuang Kuay Lim, Pei Pei Heng, Yong Kang Cheah, Jia Hui Lim
BMJ Open.2019; 9(10): e031164. CrossRef
Electronic cigarettes: an aid in smoking cessation, or a new health hazard?
Konstantinos Farsalinos
Therapeutic Advances in Respiratory Disease.2018;[Epub] CrossRef
Threshold dynamics and optimal control of an age-structured giving up smoking model
Ghaus ur Rahman, Ravi P. Agarwal, Lili Liu, Asaf Khan
Nonlinear Analysis: Real World Applications.2018; 43: 96. CrossRef
Source of cigarettes among youth smokers in Malaysia: Findings from the tobacco and e-cigarette survey among Malaysian school adolescents (TECMA)
Kuang Hock Lim, Chien Huey Teh, Pei Pei Heng, Sayan Pan, Miaw Yn Ling, Muhammad Fadhli Mohd Yusoff, Sumarni Mohd Ghazali, Chee Cheong Kee, Rafiza Shaharudin, Hui Li Lim
Tobacco Induced Diseases.2018;[Epub] CrossRef
Relationship between smoking characteristics and obesity among military personnel in Korea : Data from smoking cessation clinics, 2009∼2017
Eunjoo Kwon, Suyoung Kim, Jieun Chu, Seon Cho, Eunhee Nah
Korean Journal of Health Education and Promotion.2018; 35(5): 47. CrossRef
A Tool to Identify Adolescents at Risk of Cigarette Smoking Initiation
Marie-Pierre Sylvestre, Nancy Hanusaik, David Berger, Erika Dugas, Lori Pbert, Jonathan Winickoff, Jennifer L. O’Loughlin
Pediatrics.2018;[Epub] CrossRef
Age at diagnosis, obesity, smoking, and molecular subtypes in muscle-invasive bladder cancer
Xuezheng Sun, Katherine A. Hoadley, William Y. Kim, Helena Furberg, Andrew F. Olshan, Melissa A. Troester
Cancer Causes & Control.2017; 28(6): 539. CrossRef
Is risk-taking behaviour more prevalent among adolescents with learning disabilities?
Michaela Palfiova, Zuzana Dankulincova Veselska, Daniela Bobakova, Jana Holubcikova, Ivo Cermak, Andrea Madarasova Geckova, Jitse P. van Dijk, Sijmen A. Reijneveld
The European Journal of Public Health.2016; : ckw201. CrossRef
How do Indonesian youth perceive cigarette advertising? A cross-sectional study among Indonesian high school students
Yayi Suryo Prabandari, Arika Dewi
Global Health Action.2016; 9(1): 30914. CrossRef
Raising the Tobacco Sales Age to 21: Surveying the Legal Landscape
Micah L. Berman
Public Health Reports®.2016; 131(2): 378. CrossRef
A comparison of adolescent smoking initiation measures on predicting future smoking behavior
Sunday Azagba, Neill Bruce Baskerville, Leia Minaker
Preventive Medicine Reports.2015; 2: 174. CrossRef
A Study on the Health Risk Behaviors of Adolescents from Multicultural Families according to the Parents' Migration Background
Jung-Ok Yu, Myo Sung Kim
Journal of Korean Academy of Community Health Nursing.2015; 26(3): 190. CrossRef

Association Between Gamma-Glutamyltransferase and Hypertension Incidence in Rural Prehypertensive Adults.: Jun Hyun Hwang, Ji Yeon Shin, Byung yeol Chun, Duk Hee Lee, Keon Yeop Kim, Wee hyun Park, Shung chull Chae; J Prev Med Public Health. 2010;43(1):18-25.; DOI: https://doi.org/10.3961/jpmph.2010.43.1.18

5,373 View
58 Download
4 Crossref

Abstract PDF

OBJECTIVES
Prehypertension is associated with a higher risk of developing hypertension compared with normotension. Yet, factors predicting the development of hypertension among prehypertensive people are ill-understood. This prospective cohort study was performed to examine if serum gamma-glutamyltrasferase (GGT) within a normal range can predict the future risk of hypertension among prehypertensive adults. METHODS: Study subjects were 293 prehypertensive persons >30-years-of-age who participated in a community-based health survey in 2003 and who were followed up in 2008. Sex-specific quartiles of baseline serum GGT were used to examine association with 5-year hypertension incidence. RESULTS: Baseline serum GGT within normal range predicted the risk of developing hypertension for 5 years only in prehypertensive women. Adjusted relative risks were 1.0, 3.7, 3.6, and 6.0 according to quartiles of baseline serum GGT (P for trend <0.01). This pattern was similarly observed in non-drinkers. However, serum GGT was not associated with incident hypertension in men. Different from serum GGT, baseline serum alanine aminotransferase, another well-known liver enzyme, did not predict the risk of incident hypertension in both genders. CONCLUSIONS: Even though baseline serum GGT within normal range strongly predicted the future risk of hypertension, it was observed only in women, Although underlying mechanisms of this association are currently unclear, serum GGT can be used to select a high risk group of hypertension in prehypertensive women.

Summary

Citations

Citations to this article as recorded by

Gamma-glutamyltransferase and risk of hypertension
Setor K. Kunutsor, Tanefa A. Apekey, Bernard M.Y. Cheung
Journal of Hypertension.2015; 33(12): 2373. CrossRef
Endobiogeny: A Global Approach to Systems Biology (Part 1 of 2)
Jean-Claude, Lapraz, Kamyar M. Hedayat
Global Advances in Health and Medicine.2013; 2(1): 64. CrossRef
Gamma-Glutamyltransferase Level and Risk of Hypertension: A Systematic Review and Meta-Analysis
Cun-Fei Liu, Yu-Ting Gu, Hai-Ya Wang, Ning-Yuan Fang, Antony Bayer
PLoS ONE.2012; 7(11): e48878. CrossRef
Association between γ-glutamyltransferase and prehypertension
XUZHEN QIN, GUODONG TANG, LING QIU, TAO XU, XINQI CHENG, SHAOMEI HAN, GUANGJIN ZHU, YAJUN LIU
Molecular Medicine Reports.2012; 5(4): 1092. CrossRef

The Association of Central Obesity with Type 2 Diabetes among Koreans according to the Serum Gamma-Glutamyltransferase Level: Korean Genome and Epidemiology Study.: Ji Yeon Shin, Jun Hyun Hwang, Jin Young Jeong, Sung Hi Kim, Jai Dong Moon, Sang Chul Roh, Young Wook Kim, Yangho Kim, Jong Han Leem, Young Su Ju, Young Seoub Hong, Eun Hee Ha, Yong Hwan Lee, Duk Hee Lee, Dong Hyun Kim; J Prev Med Public Health. 2009;42(6):386-391.; DOI: https://doi.org/10.3961/jpmph.2009.42.6.386

6,162 View
66 Download
3 Crossref

Abstract PDF

OBJECTIVES
This cross-sectional study was performed to examine if the serum gamma-glutamyltransferase (GGT) level that is within its normal range is associated with the risk of type 2 diabetes and if the association between the waist hip ratio (WHR) and type 2 diabetes is different depending on the serum GGT levels. METHODS: The study subjects were 23,436 persons aged 40 years or older and who participated in regular health check-ups at 11 hospitals (males: 5,821, females: 17,615). The gender-specific quintiles of the serum GGT and WHR were used to examine the associations with type 2 diabetes. RESULTS: The serum GGT levels within their normal range were positively associated with type 2 diabetes only in women. The adjusted odds ratios (ORs) were 1.0, 1.0, 1.4, 2.1, and 2.5 according to the quintiles of the serum GGT (p(trend)<0.01). The WHR was more strongly associated with the prevalence of diabetes among the women with a high-normal serum GGT level as compared with those with a low-normal serum GGT level (p for interaction=0.02). For example, the adjusted ORs for women with a low normal serum GGT level were 1.0, 1.2, 1.5, 2.2, and 2.4 according to the quintiles of the WHR, while those figures were 1.0, 2.4, 3.6, 5.0, and 8.3 among the women with a high normal serum GGT level. However, in men, the serum GGT was very weakly associated with type 2 diabetes and the association between the WHR and type 2 diabetes was not different depending on the serum GGT level. CONCLUSIONS: Serum GGT within its normal range was positively associated with type 2 diabetes, and central obesity was more strongly associated with the prevalence of type 2 diabetes when the serum GGT level was high-normal. However, these associations were observed only in women, which is different from the previous findings. The stronger relation between central obesity and type 2 diabetes among women with a high-normal serum GGT level can be useful for selecting a group that is at high risk for type 2 diabetes irregardless of whatever the underlying mechanism is.

Summary

Citations

Citations to this article as recorded by

Serum gamma-glutamyl transferase and risk of type 2 diabetes in the general Korean population: a Mendelian randomization study
Youn Sue Lee, Yoonsu Cho, Stephen Burgess, George Davey Smith, Caroline L. Relton, So-Youn Shin, Min-Jeong Shin
Human Molecular Genetics.2016; 25(17): 3877. CrossRef
Different associations between obesity and impaired fasting glucose depending on serum gamma-glutamyltransferase levels within normal range: a cross-sectional study
Nam Soo Hong, Jeong-Gook Kim, Yu-Mi Lee, Hyun-Woo Kim, Sin Kam, Keon-Yeop Kim, Ki-Su Kim, Duk-Hee Lee
BMC Endocrine Disorders.2014;[Epub] CrossRef
Endobiogeny: A Global Approach to Systems Biology (Part 1 of 2)
Jean-Claude, Lapraz, Kamyar M. Hedayat
Global Advances in Health and Medicine.2013; 2(1): 64. CrossRef

Author index