Obesity-related changes in clinical parameters and conditions in a longitudinal population-based epidemiological study.
The purpose of the present study was to examine the association of body mass index (BMI) or obesity with various clinical parameters and conditions in a longitudinal population-based epidemiological study in Japan.



Study subjects comprised 6027 community-dwelling individuals who were recruited to the Inabe Health and Longevity Study, a longitudinal genetic epidemiological study of atherosclerotic, cardiovascular, and metabolic diseases. Obesity was defined as BMI ≥25kg/m2.



Longitudinal analysis with the generalised linear mixed-effect model after adjustment for age showed that for men, BMI was significantly (P<0.0008) related to systolic, diastolic, and mean blood pressure and serum concentrations of high-density lipoprotein (HDL)-cholesterol and low-density lipoprotein (LDL)-cholesterol. For women, BMI was also significantly related to serum concentrations of triglycerides, HDL-cholesterol, and LDL-cholesterol. Longitudinal analysis with the generalised estimating equation with adjustment for age showed that in men, BMI was significantly (P<0.0012) associated with the prevalence of hypertension, type 2 diabetes mellitus, hypertriglyceridemia, hypo-HDL-cholesterolemia, decreased estimated glomerular filtration rate, and hyperuricemia. In women, BMI was also significantly associated with the prevalence of hypertension, type 2 diabetes mellitus, hypertriglyceridemia, and hyperuricemia.



Obesity has detrimental effects on various clinical parameters and conditions, resulting in increased risk of hypertension, dyslipidemia, type 2 diabetes mellitus, hyperuricemia, and chronic kidney disease.
Department of Cardiology, Kasugai Municipal Hospital, 1-1-1 Takaki-cho, Kasugai, Aichi 486-8510, Japan. Electronic address: oguricap0909@gmail.com.
Mitsutoshi
M
Oguri
Department of Cardiovascular Medicine, Inabe General Hospital, 771 Ageki, Hokusei-cho, Inabe, Mie 511-0428, Japan.
Tetsuo
T
Fujimaki
Department of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, 5-161 Maebata-cho, Tajimi, Gifu 507-0042, Japan.
Hideki
H
Horibe
Department of Internal Medicine, Meitoh Hospital, 3-1911 Kamiyashiro, Meito-ku, Nagoya, Aichi 465-0025, Japan.
Kimihiko
K
Kato
Department of Biostatistics, Graduate School of Medicine, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan.
Kota
K
Matsui
Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi 466-8555, Japan; Core Research for Evolutionary Science and Technology (CREST), Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan.
Ichiro
I
Takeuchi
Core Research for Evolutionary Science and Technology (CREST), Japan Science and Technology Agency, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan; Department of Human Functional Genomics, Life Science Research Center, Mie University, 1577 Kurima-machiya, Tsu, Mie 514-8507, Japan.
Yoshiji
Y
Yamada
D000328:Adult; D000368:Aged; D001794:Blood Pressure / Q000502:physiology*; D015992:Body Mass Index; D002784:Cholesterol / Q000097:blood*; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000453:epidemiology / Q000503:physiopathology; D050171:Dyslipidemias / Q000097:blood / Q000453:epidemiology / Q000503:physiopathology; D005260:Female; D006801:Humans; D006973:Hypertension / Q000097:blood / Q000453:epidemiology / Q000503:physiopathology; D033461:Hyperuricemia / Q000097:blood / Q000453:epidemiology / Q000503:physiopathology; D007564:Japan / Q000453:epidemiology; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000097:blood / Q000453:epidemiology / Q000503:physiopathology*; D015995:Prevalence; D051436:Renal Insufficiency, Chronic / Q000097:blood / Q000453:epidemiology / Q000503:physiopathology; D012307:Risk Factors
D002784:Cholesterol
Body mass index; Clinical parameters; Longitudinal study; Obesity