Relationship between Dietary and Other Lifestyle Habits and Cardiometabolic Risk Factors in Men

Sayuri Katano1, Yasuyuki Nakamura1,2, Nagako Okuda3, Yoshitaka Murakami4, Nagako Chiba5, Katsushi Yoshita6, Tsunehiko Tanaka7, Junko Tamaki8, Toru Takebayashi9, Akira Okayama3, Katsuyuki Miura2, Tomonori Okamura9, Hirotsugu Ueshima2
1Cardiovascular Epidemiology, Kyoto Women's University, Kyoto, Japan
2Department of Health Science, Shiga University of Medical Science, Otsu, Japan
3The First Institute of Health Service, Japan Anti-Tuberculosis Association, Tokyo, Japan
4Department of Medical Statistics, Shiga University of Medical Science, Otsu, Japan
5Department of Health and Nutrition, Tsukuba International Junior College, Tsuchiura, Japan
6Department of Food Science and Nutrition, Graduate School of Human Life Science, Osaka City University, Osaka, Japan
7Department of Health Sciences Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Chuo Japan
8Department of Public Health, Kinki University School of Medicine, Osaka-Sayama, Japan
9Department of Preventive Medicine and Public Health, School of Medicine, Keio University, Tokyo, Japan

Tóm tắt

Abstract Background Prevalence of men with cardiometabolic risk factors (CMRF) is increasing in Japan. Few studies have comprehensively examined the relation between lifestyles and CMRF. Methods We examined the baseline data from 3,498 male workers ages 19 to 69 years who participated in the high-risk and population strategy for occupational health promotion (HIPOP-OHP) study at 12 large-scale companies throughout Japan. The physical activity of each participant was classified according to the International Physical Activity Questionnaire (IPAQ). Dietary intake was surveyed by a semi-quantitative Food Frequency Questionnaire. We defined four CMRF in this study as follows: 1) high blood pressure (BP): systolic BP ≥ 130 mmHg, or diastolic BP ≥ 85 mmHg, or the use of antihypertensive drugs; 2) dyslipidemia: high-density lipoprotein-cholesterol concentration < 40 mg/dl, or triglycerides concentration ≥ 150 mg/dl, or on medication for dyslipidemia; 3) impaired glucose tolerance: fasting blood sugar concentration ≥110 mg/dl; 4) obese: a body mass index ≥ 25 kg/m2. Results Those who had 0 to 4 CMRF accounted for 1,597 (45.7%), 1,032 (29.5%), 587 (16.8%), 236 (6.7%), and 44 (1.3%) participants, respectively, in the Poisson distribution. Poisson regression analysis revealed that independent factors that contributed to the number of CMRF were age (b = 0.020, P < 0.01), IPAQ (b = -0.091, P < 0.01), alcohol intake (ml/day) (b = 0.001, P = 0.03), percentage of protein intake (b = 0.059, P = 0.01), and total energy intake (kcal)(b = 0.0001, P < 0.01). Furthermore, alcohol intake and its frequency had differential effects. Conclusions Alcohol intake, percent protein and total energy intake were positively associated, whereas drinking frequency and IPAQ were inversely associated, with the number of CMRF.

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