Journal of Preventive Medicine and Public Health

Original Articles

Smoking Is Associated With Abdominal Obesity, Not Overall Obesity, in Men With Type 2 Diabetes: Ji Eun Yun, Heejin Kimm, Young Ju Choi, Sun Ha Jee, Kap Bum Huh; J Prev Med Public Health. 2012;45(5):316-322. Published online September 28, 2012; DOI: https://doi.org/10.3961/jpmph.2012.45.5.316

9,179 View
98 Download
16 Crossref

Objectives

Abdominal obesity increases mortality and morbidity from cardiovascular disease and there is a possibility that smoking effects obesity. However, previous studies concerning the effects of smoking on obesity are inconsistent. The objective of this study was to examine whether smoking is positively related to abdominal obesity in men with type 2 diabetes.

Methods

Subjects consisted of 2197 type 2 diabetic patients who visited Huh's Diabetes Center from 2003 to 2009. Indices of abdominal obesity were defined as visceral fat thickness (VFT) measured by ultrasonography and waist circumference (WC). Overall obesity was defined as body mass index (BMI).

Results

Statistically significant differences in WC and VFT by smoking status were identified. However, there was no statistical difference in BMI according to smoking status. Means of WC and VFT were not significantly higher in heavy smokers and lower in mild smokers. Compared to nonsmokers, the BMI confounder adjusted odds ratio and 95% confidence interval for VFT in ex-smokers and current-smokers were 1.70 (1.21 to 2.39) and 1.86 (1.27 to 2.73), respectively.

Conclusions

Smoking status was positively associated with abdominal obesity in type 2 diabetic patients.

Summary

Citations

Citations to this article as recorded by

Nutritional status of people who inject drugs in Coastal Kenya: a cross-sectional study
Valentine Budambula, Moses Ngari, Nancy L.M. Budambula, Aabid A. Ahmed, Tom Were
BMC Nutrition.2024;[Epub] CrossRef
Smoking and cardiovascular disease in patients with type 2 diabetes: a prospective observational study
Peder af Geijerstam, Fredrik Janryd, Fredrik H. Nyström
Journal of Cardiovascular Medicine.2023; 24(11): 802. CrossRef
Prevalence and Predictors of Combined Body Mass Index and Waist Circumference Among Indian Adults
Neha Shri, Saurabh Singh, Akancha Singh
International Journal of Public Health.2023;[Epub] CrossRef
Prevalence and related factors of abdominal obesity among urban adults aged 35 to 79 years in southwest China
Chuan Huang, Ying Zhang, Ya Liu, Jian-Xiong Liu, Yong-Mei Hu, Wei-Wei Tang, Tzung-Dau Wang, Xiao-bo Huang
Frontiers in Public Health.2023;[Epub] CrossRef
Exploring the Impact of the Obesity Paradox on Lung Cancer and Other Malignancies
Lindsay Joyce Nitsche, Sarbajit Mukherjee, Kareena Cheruvu, Cathleen Krabak, Rohit Rachala, Kalyan Ratnakaram, Priyanka Sharma, Maddy Singh, Sai Yendamuri
Cancers.2022; 14(6): 1440. CrossRef
Long-Term Adverse Effects of Cigarette Smoking on the Incidence Risk of Metabolic Syndrome With a Dose-Response Relationship: Longitudinal Findings of the Korean Genome and Epidemiology Study Over 12 Years
Ae Hee Kim, In-Ho Seo, Hye Sun Lee, Yong-Jae Lee
Endocrine Practice.2022; 28(6): 603. CrossRef
Sex-Dependent Effects of Inhaled Nicotine on the Gut Microbiome
Anna K Whitehead, Margaret C Meyers, Christopher M Taylor, Meng Luo, Scot E Dowd, Xinping Yue, Lauri O Byerley
Nicotine & Tobacco Research.2022; 24(9): 1363. CrossRef
Determinants of Metabolic Health Across Body Mass Index Categories in Central Europe: A Comparison Between Swiss and Czech Populations
Sarka Kunzova, Andrea Maugeri, Jose Medina-Inojosa, Francisco Lopez-Jimenez, Manlio Vinciguerra, Pedro Marques-Vidal
Frontiers in Public Health.2020;[Epub] CrossRef
From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research
Radia Khan, Zoey Chua, Jia Tan, Yingying Yang, Zehuan Liao, Yan Zhao
Medicina.2019; 55(9): 546. CrossRef
Cigarette Smoking Is Negatively Associated with the Prevalence of Type 2 Diabetes in Middle-Aged Men with Normal Weight but Positively Associated with Stroke in Men
Su Wang, Jie Chen, Yuzhong Wang, Yu Yang, Danyu Zhang, Chao Liu, Kun Wang
Journal of Diabetes Research.2019; 2019: 1. CrossRef
Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors
Inkyung Baik
Nutrition Research and Practice.2018; 12(3): 251. CrossRef
Obesity in Older Type 2 Diabetic Patients: Does Working Environment Add Vulnerability?
Maria Brandão, Margarida Cardoso
International Journal of Environmental Research and Public Health.2018; 15(12): 2677. CrossRef
Smoking and the risk of type 2 diabetes
Judith Maddatu, Emily Anderson-Baucum, Carmella Evans-Molina
Translational Research.2017; 184: 101. CrossRef
Metabolic effects of smoking cessation
Kindred K. Harris, Mohan Zopey, Theodore C. Friedman
Nature Reviews Endocrinology.2016; 12(5): 299. CrossRef
Smoking status and abdominal obesity among normal- and overweight/obese adults: Population-based FINRISK study
Eeva-Liisa Tuovinen, Suoma E. Saarni, Satu Männistö, Katja Borodulin, Kristiina Patja, Taru H. Kinnunen, Jaakko Kaprio, Tellervo Korhonen
Preventive Medicine Reports.2016; 4: 324. CrossRef
Joint Association of Nicotinic Acetylcholine Receptor Variants with Abdominal Obesity in American Indians: The Strong Heart Family Study
Yun Zhu, Jingyun Yang, Fawn Yeh, Shelley A. Cole, Karin Haack, Elisa T. Lee, Barbara V. Howard, Jinying Zhao, Mohammed Akaaboune
PLoS ONE.2014; 9(7): e102220. CrossRef

The Association Between Serum Albumin Levels and Metabolic Syndrome in a Rural Population of Korea: Hye Min Cho, Hyeon Chang Kim, Ju-Mi Lee, Sun Min Oh, Dong Phil Choi, Il Suh; J Prev Med Public Health. 2012;45(2):98-104. Published online March 31, 2012; DOI: https://doi.org/10.3961/jpmph.2012.45.2.98

11,032 View
106 Download
19 Crossref

Abstract PDF

Objectives

A positive association between serum albumin levels and metabolic syndrome has been reported in observation studies, but it has not been established in the Korean population. The purpose of this study was to evaluate the association between serum albumin levels and the presence of metabolic syndrome among a sample of apparently healthy Korean adults.

Methods

This cross-sectional study analyzed data of 3189 community-dwelling people (1189 men and 2000 women) who were aged 40 to 87 years and were living in a rural area in Korea. Serum albumin levels were classified into quartile groups for each sex. Metabolic syndrome was defined according to the National Cholesterol Education Program Adult Treatment Panel III guidelines with an adjusted waist circumference cut-off value (≥90 cm for men and ≥85 cm for women). An independent association between serum albumin levels and metabolic syndrome was assessed by multiple logistic regression analysis.

Results

Higher serum albumin levels were associated with increased prevalence of metabolic syndrome. The odds ratio (95% confidence interval) of the prevalence of metabolic syndrome for the highest versus the lowest serum albumin quartiles was 2.81 (1.91 to 4.14) in men and 1.96 (1.52 to 2.52) in women, after adjusting for age, smoking status, alcohol consumption, and physical activity. When each metabolic abnormality was analyzed separately, higher serum albumin levels were significantly associated with hypertriglyceridemia and hyperglycemia in both sexes, and with abdominal obesity in men.

Conclusions

These results suggest that higher serum albumin levels are positively associated with an increased risk of metabolic syndrome in Korean adults.

Summary

Citations

Citations to this article as recorded by

Prevalence of Non-alcoholic Fatty Liver Disease Detected by Computed Tomography in the General Population Compared with Ultrasonography
Yuki Ito, Kentaro Yoshioka, Kazuhiko Hayashi, Yuko Shimizu, Ryo Fujimoto, Ryosuke Yamane, Michiyo Yoshizaki, Go Kajikawa, Taro Mizutani, Hidemi Goto
Internal Medicine.2024; 63(2): 159. CrossRef
Joint modeling of association networks and longitudinal biomarkers: An application to childhood obesity
Andrea Cremaschi, Maria De Iorio, Narasimhan Kothandaraman, Fabian Yap, Mya Thway Tint, Johan Eriksson
Statistics in Medicine.2024; 43(6): 1135. CrossRef
Metabolic syndrome: comparison of three diet-induced experimental models
Alexandra Petrova, Rumyana Simeonova, Christina Voycheva, Yonko Savov, Lyubomir Marinov, Vessela Balabanova, Reneta Gevrenova, Dimitrina Zheleva-Dimitrova
Pharmacia.2023; 70(4): 1539. CrossRef
The clinical role of serum albumin in Organophospate poisoning
Eul Noh, Jeong Mi Moon, Byeong Jo Chun, Yong Soo Cho, SeokJin Ryu, Dongki Kim
Basic & Clinical Pharmacology & Toxicology.2021; 128(4): 605. CrossRef
Anthropometry and Liver Function Parameters in Individuals with Metabolic Syndrome
Adebowale Emmanuel Aladejana, Elizabeth Bosede Aladejana
Journal of Pharmacy and Nutrition Sciences .2021; 11: 151. CrossRef
U-shaped association between serum albumin and development of chronic kidney disease in general hypertensive patients
Chongfei Jiang, Binyan Wang, Youbao Li, Liling Xie, Xianglin Zhang, Jiancheng Wang, Yaren Yu, Yun Song, Min Liang, Guobao Wang, Jianping Li, Yan Zhang, Lishun Liu, Chengzhang Liu, Genfu Tang, Yong Huo, Xiping Xu, Xianhui Qin
Clinical Nutrition.2020; 39(1): 258. CrossRef
Serum albumin, cardiometabolic and other adverse outcomes: systematic review and meta-analyses of 48 published observational cohort studies involving 1,492,237 participants
Samuel Seidu, Setor K. Kunutsor, Kamlesh Khunti
Scandinavian Cardiovascular Journal.2020; 54(5): 280. CrossRef
Impact of Social Jetlag and Circadian Patterns on Patients with Metabolic and Nocturnal Eating Syndromes
Yasmin Atwa Mohamed Ali, Naglaa Elsayed Abbas, Amany Abdel Hamid Mousa, Azza Abdelbaky, Ahmed Salem Bahammam, Nevin Fayez Wanis Zaki
Chronobiology in Medicine.2020; 2(4): 175. CrossRef
Age-differential association between serum uric acid and incident hypertension
Seung Won Lee, Hyeon Chang Kim, Chungmo Nam, Hae-Young Lee, Song Vogue Ahn, Young A Oh, Il Suh
Hypertension Research.2019; 42(3): 428. CrossRef
Insulin resistance and chronic kidney disease progression, cardiovascular events, and death: findings from the chronic renal insufficiency cohort study
Sarah J. Schrauben, Christopher Jepson, Jesse Y. Hsu, F. Perry Wilson, Xiaoming Zhang, James P. Lash, Bruce M. Robinson, Raymond R. Townsend, Jing Chen, Leon Fogelfeld, Patricia Kao, J. Richard Landis, Daniel J. Rader, L. Lee Hamm, Amanda H. Anderson, Har
BMC Nephrology.2019;[Epub] CrossRef
Hookworm infection aggravates metabolic disorder in obesity
Vivian Jordania da Silva, Sílvia Regina Costa Dias, William Pereira Alves, Luis Fernando Viana Furtado, Luciana Ribeiro Serafim, Thayse Batista Moreira, Pedro Henrique Nascimento de Aguiar, Ana Maria Caetano de Faria, Élida Mara Leite Rabelo
Molecular and Biochemical Parasitology.2019; 232: 111200. CrossRef
Baseline level and change in serum albumin concentration and the risk of incident type 2 diabetes
You-Cheol Hwang, Ji Eun Jun, Won-Jung Hong, Sang-Man Jin, Ji Cheol Bae, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim
Journal of Diabetes and its Complications.2018; 32(1): 61. CrossRef
A comparative research on obesity hypertension by the comparisons and associations between waist circumference, body mass index with systolic and diastolic blood pressure, and the clinical laboratory data between four special Chinese adult groups
Ou Wu, Jian-hang Leng, Fen-fang Yang, Hai-ming Yang, Hu Zhang, Zeng-fang Li, Xing-yu Zhang, Cheng-Da Yuan, Jia-jia Li, Qi Pan, Wei Liu, Yan-jun Ren, Bing Liu, Qing-min Liu, Cheng-jian Cao
Clinical and Experimental Hypertension.2018; 40(1): 16. CrossRef
The Effect of Nutrition and Sleep Habits on Predisposition for Metabolic Syndrome in Greek Children
Maria Efthymia Katsa, Anastasios Ioannidis, Sofia Zyga, Maria Tsironi, Paraskevas Koutsovitis, Stylianos Chatzipanagiotou, Demosthenes Panagiotakos, Athanasios Sachlas, Petros Kolovos, Kleopatra Routsi, Anna Maria Pistikou, Dafni Eleni Kougioumtzi Dimolia
Journal of Pediatric Nursing.2018; 40: e2. CrossRef
Metabolic syndrome and hip fracture: Epidemiology and perioperative outcomes
Kyle H. Cichos, Jessica L. Churchill, Sierra G. Phillips, Shawna L. Watson, Gerald McGwin, Elie S. Ghanem, Brent A. Ponce
Injury.2018; 49(11): 2036. CrossRef
Increase in serum albumin concentration is associated with prediabetes development and progression to overt diabetes independently of metabolic syndrome
Ji Eun Jun, Seung-Eun Lee, You-Bin Lee, Jae Hwan Jee, Ji Cheol Bae, Sang-Man Jin, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim, Vince Grolmusz
PLOS ONE.2017; 12(4): e0176209. CrossRef
Serum albumin concentration and incident type 2 diabetes risk: new findings from a population-based cohort study
Setor K. Kunutsor, Hassan Khan, Jari A. Laukkanen
Diabetologia.2015; 58(5): 961. CrossRef
Association between Serum 25-Hydroxyvitamin D Level and Insulin Resistance in a Rural Population
Bo Mi Song, Hyeon Chang Kim, Dong Phil Choi, Sun Min Oh, Il Suh
Yonsei Medical Journal.2014; 55(4): 1036. CrossRef
Serum Albumin Levels: A Simple Answer to a Complex Problem? Are We on the Right Track of Assessing Metabolic Syndrome?
Sohee Kim, Shinae Kang
Endocrinology and Metabolism.2013; 28(1): 17. CrossRef

Abdominal Obesity in Relation to the Incidence of Type 2 Diabetes Mellitus and Impaired Fasting Glucose among some Korean Adults: A Retrospective Cohort Study.: Seung Ho Ryu, Sung Ho Beck, Yoo Soo Chang, Dong Il Kim, Byung Seong Suh, Woon Sool Kim, Ki Chul Sung; J Prev Med Public Health. 2004;37(4):359-365. Published online November 30, 2004

2,393 View
48 Download

Abstract PDF: OBJECTIVES
This study was performed to determine whether an increase in abdominal obesity is an independent risk factor for impaired fasting glucose and type 2 DM. METHODS: Among 24, 212 adults over 30 years who undertook comprehensive medical screening examinations from Jan to Dec 1999, in a university hospital in Seoul, a total of 11, 183 subjects were selected who had no DM at baseline and who were followed up more than once by Dec 2002. The average follow up period was 2.4 (+/-0.5) years. DM was defined as having a fasting glucose level > or = 126mg/dl, and impaired fasting glucose as showing a fasting glucose level between 110 and 125 mg/dl. Body weight, height and waist circumference (WC) were simultaneously measured with blood sampling. The relative risks (RRs) for DM and impaired fasting glucose by WC were calculated using Cox proportional hazard model. Ageadjusted rates were estimated by direct standardization using a reference population of 2000 from 30 to 80 years. RESULTS: The average age of the subjects was 41.7 (+/- 7.0) years; males 41.2 (+/-6.5) and females 45.6 (+/-9.2). RRs for type 2 DM by WC with the reference group of WC < 80cm were as follows: 2.66 (95%, CI 0.55~12.8) for WC of 80~89cm in men, 5.92 (95%, CI 1.08~32.3) for WC > or = 90 cm in men, and 2.64 (95%, CI 0.23~29.8) for WC of 80~89cm in females. RRs for impaired fasting glucose by WC were 3.03 (95%, CI 2.18~4.22) for WC 80~89cm in men, 6.10 (95%, CI 4.25~8.75) for WC > or = 90cm in men, and 1.56 (95%, CI 0.43~5.67) for WC 80~89cm in women, and 8.08 (95%, CI 2.22~29.4) for WC > or = 90cm in females. These results remained significant after adjustment for age, BMI and fasting glucose concentrations at baseline in both sexes. Annual increment of more than 1 cm in WC was associated with the development of DM and impaired fasting glucose independently of age, sex, BMI, or presence of abdominal obesity. CONCLUSION: In Korean adults, abdominal obesity increased the risk for the development of type 2 diabetes and impaired fasting glucose. This result supports many other prospective studies suggesting abdominal obesity as a risk factor for type 2 diabetes.; Summary

English Abstract

Health Behavior Factors Affecting Waist Circumference as an Indicator of Abdominal Obesity.: Kyung Won Paek, Yoon Mi Hong; J Prev Med Public Health. 2006;39(1):59-66.

2,052 View
78 Download

Abstract PDF: OBJECTIVES
This study was performed to identify the socioeconomic factors, the psychosocial factors and the heath behavior factors that have an influence on abdominal obesity, as measured by using the waist circumference. METHODS: Data was obtained from individuals aged above 20 years who had their waist circumference measured on the Korean National Health and Nutrition Examination Survey 2001, which was a cross-sectional health survey. RESULTS: Regression analysis of the factors that affect abdominal obesity showed that the education level, income, smoking, duration of smoking, drinking consumption, frequency of exercises and sleeping were the associated factors for abdominal obesity. For men, the duration of smoking, education level, income and drinking consumption were the associated factors for abdominal obesity. For woman, the education level, income, duration of smoking, drinking consumption and frequency of exercise were the associated factors for abdominal obesity. CONCLUSIONS: Abdominal obesity is a risk factor for morbidity and mortality, and it is associated with chronic diseases, including cardiovascular disease and diabetes. Based on the findings, it is essential to modify heath behaviors for preventing abdominal obesity, which is a condition associated with the incidence of chronic disease.; Summary

First
Prev
Page of 1
Next
Last

Search