Obesity and its relation to chronic kidney disease: A population-based, cross-sectional study of a Thai army population and relatives

被引:26
|
作者
Satirapoj, Bancha [1 ]
Supasyndh, Ouppatham [1 ]
Mayteedol, Natee [1 ]
Punpanich, Dollapas [2 ]
Chaiprasert, Amnart [1 ]
Nata, Naowanit [1 ]
Ruangkanchanasetr, Prajej [1 ]
Kanjanakul, Inseey [1 ]
Choovichian, Panbubpa [1 ]
机构
[1] Phramongkutklao Hosp, Div Nephrol, Bangkok 10400, Thailand
[2] Phramongkutklao Hosp, Dept Med, Res Unit, Bangkok 10400, Thailand
关键词
body mass index; chronic kidney disease; obesity; overweight; BODY-MASS INDEX; GLOMERULAR-FILTRATION-RATE; RENAL-DISEASE; METABOLIC SYNDROME; SERUM CREATININE; ASSOCIATION; RISK; HYPERTENSION; EQUATION; JAPANESE;
D O I
10.1111/nep.12023
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Aim Obesity represents a significant problem in patients with cardiovascular disease and chronic kidney disease (CKD). The aim of the present study was to investigate the association between body mass index (BMI) and CKD in Thai individuals. Methods Participants underwent general health screening. Overweight, weight at risk, obese I and obese II were defined as having a BMI 23kg/m2, 2324.9kg/m2, 2529.9kg/m2 and 30kg/m2, respectively. Waist circumference 90cm for men and>80cm for women were represented by abdominal obesity. CKD was defined as a glomerular filtration rate (GFR)<60mL/min per 1.73m2. An estimate of the GFR was obtained by the four-variable Modification of Diet in Renal Disease (MDRD) equation. Results The study population had 12348 males and 3009 females. The survey population had a 7.5% prevalence of CKD. There was also a significant graded relationship between the degrees of overweight with the prevalence of CKD. Mean BMI were 25.36 +/- 3.29kg/m2 for CKD subjects and 24.04 +/- 3.13kg/m2 for non-CKD subjects (P<0.001). Prevalence of overweight and abdominal obesity in the participants with CKD were found to be higher than in those without CKD (overweight, 77.6% vs. 61.6%, P<0.001; abdominal obesity, 35.7% vs. 25.3%, P<0.001). In a multivariate logistic regression analysis, weight at risk (adjusted odds ratio 1.29; 95% CI 1.071.54), obese I (adjusted odds ratio 1.58; 95% CI 1.331.87) and obese II (adjusted odds ratio 1.65; 95% CI 1.242.19) were associated with CKD. Conclusion Our data showed that overweight and obesity were associated with CKD in Thai members of the army population and their relatives undergoing a general health screening, independently of age, gender, blood pressure, serum lipid, uric acid and glucose levels.
引用
收藏
页码:229 / 234
页数:6
相关论文
共 50 条
  • [1] Insulin resistance is not independently associated with chronic kidney disease in Chinese population: A population-based cross-sectional study
    Jing, Ce
    Xu, Shaoyong
    Ming, Jie
    Cai, Jing
    Zhang, Rong
    Shen, Han
    Yang, Wenying
    Ji, Qiuhe
    [J]. CLINICA CHIMICA ACTA, 2015, 448 : 232 - 237
  • [2] Determinants and burden of chronic kidney disease in the population-based CoLaus study: a cross-sectional analysis
    Ponte, Belen
    Pruijm, Menno
    Marques-Vidal, Pedro
    Martin, Pierre-Yves
    Burnier, Michel
    Paccaud, Fred
    Waeber, Gerard
    Vollenweider, Peter
    Bochud, Murielle
    [J]. NEPHROLOGY DIALYSIS TRANSPLANTATION, 2013, 28 (09) : 2329 - 2339
  • [3] THE RELATION BETWEEN OBESITY AND CHRONIC KIDNEY DISEASE: A CROSS-SECTIONAL STUDY
    Timar, Romulus
    Chita, Teodora
    Timar, Bogdan
    Vlad, Mihaela
    Degeratu, Diana
    Mazilu, Octavian
    [J]. INTERDISCIPLINARY APPROACHES IN DIABETIC CHRONIC KIDNEY DISEASE, 2015, : 316 - 322
  • [4] IQ and obesity in adolescence: a population-based, cross-sectional study
    Goldberg, S.
    Werbeloff, N.
    Fruchter, E.
    Portuguese, S.
    Davidson, M.
    Weiser, M.
    [J]. PEDIATRIC OBESITY, 2014, 9 (06): : 419 - 426
  • [5] Harmonizing Formula Prescription Patterns in Patients With Chronic Kidney Disease: A Population-Based Cross-Sectional Study
    Lin, Hung-Lung
    Lin, Ming-Yen
    Tsai, Cheng-Hsun
    Wang, Yi-Hsiu
    Chen, Chung-Jen
    Hwang, Shang-Jyh
    Yen, Ming-Hong
    Chiu, Yi-Wen
    [J]. FRONTIERS IN PHARMACOLOGY, 2021, 12
  • [6] Prevalence of chronic kidney disease and its associated factors in Malaysia; findings from a nationwide population-based cross-sectional study
    Thamil Arasu Saminathan
    Lai Seong Hooi
    Muhammad Fadhli Mohd Yusoff
    Loke Meng Ong
    Sunita Bavanandan
    Wan Shakira Rodzlan Hasani
    Esther Zhao Zhi Tan
    Irene Wong
    Halizah Mat Rifin
    Tania Gayle Robert
    Hasimah Ismail
    Norazizah Ibrahim Wong
    Ghazali Ahmad
    Rashidah Ambak
    Fatimah Othman
    Hamizatul Akmal Abd Hamid
    Tahir Aris
    [J]. BMC Nephrology, 21
  • [7] Prevalence of chronic kidney disease and its associated factors in Malaysia; findings from a nationwide population-based cross-sectional study
    Saminathan, Thamil Arasu
    Hooi, Lai Seong
    Yusoff, Muhammad Fadhli Mohd
    Ong, Loke Meng
    Bavanandan, Sunita
    Hasani, Wan Shakira Rodzlan
    Tan, Esther Zhao Zhi
    Wong, Irene
    Rifin, Halizah Mat
    Robert, Tania Gayle
    Ismail, Hasimah
    Wong, Norazizah Ibrahim
    Ahmad, Ghazali
    Ambak, Rashidah
    Othman, Fatimah
    Abd Hamid, Hamizatul Akmal
    Aris, Tahir
    [J]. BMC NEPHROLOGY, 2020, 21 (01)
  • [8] Prevalence of Chronic Kidney Disease and Its Contributing Risk Factors in Southern Iran A Cross-sectional Adult Population-based Study
    Khajehdehi, Parviz
    Malekmakan, Leila
    Pakfetrat, Maryam
    Roozbeh, Jamshid
    Sayadi, Mehrab
    [J]. IRANIAN JOURNAL OF KIDNEY DISEASES, 2014, 8 (02) : 109 - 115
  • [9] Obesity and periodontitis in Australian adults: A population-based cross-sectional study
    Khan, Shahrukh
    Bettiol, Silvana
    Kent, Katherine
    Barnett, Tony
    Peres, Marco
    Crocombe, Leonard A.
    [J]. INTERNATIONAL DENTAL JOURNAL, 2020, 70 (01) : 53 - 61
  • [10] Metabolic Disease and Chronic Kidney Disease among Women in Indonesia: A Cross-Sectional Population-Based Survey
    Wahyuni, Tri
    Lianawati
    Harianto, Joanggi Wiriatarina
    Khusnal, Ery
    [J]. ELECTRONIC JOURNAL OF GENERAL MEDICINE, 2020, 17 (02):