Relationship between shift work and clustering of the metabolic syndrome diagnostic components

Yuri Kawabe, Yasuyuki Nakamura, Sayuri Kikuchi, Yoshitaka Murakami, Taichiro Tanaka, Toru Takebayashi, Akira Okayama, Katsuyuki Miura, Tomonori Okamura, Hirotsugu Ueshima

Research output: Contribution to journalArticle

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Abstract

Aim: To examine the relationship between the type of work and the number of metabolic syndrome diagnostic componentsS (MetS-DC), as well as the risk of MetS, with adjustment for lifestyle habits in Japanese workers. Methods: We examined the baseline data from 4,427 participants (81.4% male) aged 19 to 69 years old. The physical activity of each participant was classified according to the International Physical Activity Questionnaire (IPAQ). We defined the four MetS-DC 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 triglyceride concentration ≥ 150 mg/dl, or on medication for dyslipidemia; 3) dysglycemia: fasting blood sugar level ≥ 110 mg/dl, or if less than eight hours after meals ≥ 140 mg/dl, or on medication for diabetes mellitus; 4) overweight: a body mass index ≥ 25 kg/m2. We defined MetS as overweight plus two or more of the MetS-DC. Results: There were 3,094 subjects in the daytime work group, 73 in the fixed nighttime work group, 1,017 in the shift work group and 243 in the day-to-night work group. The Poisson regression analysis revealed that fixed nighttime (regression coefficient [b] = -0.233, P=0.028) and shift work (b=0.098, P=0.034) independently contributed to the number of MetS-DC, compared to daytime work. The multivariate logistic analysis not including sleep hours in the model showed that shift work was positively related to MetS (odd ratio = 1.47, P<0.01). Conclusion: Shift work were significantly associated with the number of MetS-DC, and was related to risk of MetS compared to daytime work.

Original languageEnglish
Pages (from-to)703-711
Number of pages9
JournalJournal of Atherosclerosis and Thrombosis
Volume21
Issue number7
DOIs
Publication statusPublished - 2014

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Blood pressure
Cluster Analysis
Medical problems
Regression analysis
HDL Cholesterol
Antihypertensive Agents
Blood Glucose
Logistics
Blood Pressure
Triglycerides
Dyslipidemias
Exercise
Habits
Meals
Life Style
Fasting
Diabetes Mellitus
Sleep
Body Mass Index
Multivariate Analysis

Keywords

  • Alcohol
  • Diagnostic components
  • International physical activity questionnaire
  • Metabolic syndrome
  • Shift work
  • Smoking

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Internal Medicine
  • Biochemistry, medical
  • Medicine(all)

Cite this

Relationship between shift work and clustering of the metabolic syndrome diagnostic components. / Kawabe, Yuri; Nakamura, Yasuyuki; Kikuchi, Sayuri; Murakami, Yoshitaka; Tanaka, Taichiro; Takebayashi, Toru; Okayama, Akira; Miura, Katsuyuki; Okamura, Tomonori; Ueshima, Hirotsugu.

In: Journal of Atherosclerosis and Thrombosis, Vol. 21, No. 7, 2014, p. 703-711.

Research output: Contribution to journalArticle

Kawabe, Y, Nakamura, Y, Kikuchi, S, Murakami, Y, Tanaka, T, Takebayashi, T, Okayama, A, Miura, K, Okamura, T & Ueshima, H 2014, 'Relationship between shift work and clustering of the metabolic syndrome diagnostic components', Journal of Atherosclerosis and Thrombosis, vol. 21, no. 7, pp. 703-711. https://doi.org/10.5551/jat.19380
Kawabe, Yuri ; Nakamura, Yasuyuki ; Kikuchi, Sayuri ; Murakami, Yoshitaka ; Tanaka, Taichiro ; Takebayashi, Toru ; Okayama, Akira ; Miura, Katsuyuki ; Okamura, Tomonori ; Ueshima, Hirotsugu. / Relationship between shift work and clustering of the metabolic syndrome diagnostic components. In: Journal of Atherosclerosis and Thrombosis. 2014 ; Vol. 21, No. 7. pp. 703-711.
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abstract = "Aim: To examine the relationship between the type of work and the number of metabolic syndrome diagnostic componentsS (MetS-DC), as well as the risk of MetS, with adjustment for lifestyle habits in Japanese workers. Methods: We examined the baseline data from 4,427 participants (81.4{\%} male) aged 19 to 69 years old. The physical activity of each participant was classified according to the International Physical Activity Questionnaire (IPAQ). We defined the four MetS-DC 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 triglyceride concentration ≥ 150 mg/dl, or on medication for dyslipidemia; 3) dysglycemia: fasting blood sugar level ≥ 110 mg/dl, or if less than eight hours after meals ≥ 140 mg/dl, or on medication for diabetes mellitus; 4) overweight: a body mass index ≥ 25 kg/m2. We defined MetS as overweight plus two or more of the MetS-DC. Results: There were 3,094 subjects in the daytime work group, 73 in the fixed nighttime work group, 1,017 in the shift work group and 243 in the day-to-night work group. The Poisson regression analysis revealed that fixed nighttime (regression coefficient [b] = -0.233, P=0.028) and shift work (b=0.098, P=0.034) independently contributed to the number of MetS-DC, compared to daytime work. The multivariate logistic analysis not including sleep hours in the model showed that shift work was positively related to MetS (odd ratio = 1.47, P<0.01). Conclusion: Shift work were significantly associated with the number of MetS-DC, and was related to risk of MetS compared to daytime work.",
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AU - Nakamura, Yasuyuki

AU - Kikuchi, Sayuri

AU - Murakami, Yoshitaka

AU - Tanaka, Taichiro

AU - Takebayashi, Toru

AU - Okayama, Akira

AU - Miura, Katsuyuki

AU - Okamura, Tomonori

AU - Ueshima, Hirotsugu

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N2 - Aim: To examine the relationship between the type of work and the number of metabolic syndrome diagnostic componentsS (MetS-DC), as well as the risk of MetS, with adjustment for lifestyle habits in Japanese workers. Methods: We examined the baseline data from 4,427 participants (81.4% male) aged 19 to 69 years old. The physical activity of each participant was classified according to the International Physical Activity Questionnaire (IPAQ). We defined the four MetS-DC 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 triglyceride concentration ≥ 150 mg/dl, or on medication for dyslipidemia; 3) dysglycemia: fasting blood sugar level ≥ 110 mg/dl, or if less than eight hours after meals ≥ 140 mg/dl, or on medication for diabetes mellitus; 4) overweight: a body mass index ≥ 25 kg/m2. We defined MetS as overweight plus two or more of the MetS-DC. Results: There were 3,094 subjects in the daytime work group, 73 in the fixed nighttime work group, 1,017 in the shift work group and 243 in the day-to-night work group. The Poisson regression analysis revealed that fixed nighttime (regression coefficient [b] = -0.233, P=0.028) and shift work (b=0.098, P=0.034) independently contributed to the number of MetS-DC, compared to daytime work. The multivariate logistic analysis not including sleep hours in the model showed that shift work was positively related to MetS (odd ratio = 1.47, P<0.01). Conclusion: Shift work were significantly associated with the number of MetS-DC, and was related to risk of MetS compared to daytime work.

AB - Aim: To examine the relationship between the type of work and the number of metabolic syndrome diagnostic componentsS (MetS-DC), as well as the risk of MetS, with adjustment for lifestyle habits in Japanese workers. Methods: We examined the baseline data from 4,427 participants (81.4% male) aged 19 to 69 years old. The physical activity of each participant was classified according to the International Physical Activity Questionnaire (IPAQ). We defined the four MetS-DC 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 triglyceride concentration ≥ 150 mg/dl, or on medication for dyslipidemia; 3) dysglycemia: fasting blood sugar level ≥ 110 mg/dl, or if less than eight hours after meals ≥ 140 mg/dl, or on medication for diabetes mellitus; 4) overweight: a body mass index ≥ 25 kg/m2. We defined MetS as overweight plus two or more of the MetS-DC. Results: There were 3,094 subjects in the daytime work group, 73 in the fixed nighttime work group, 1,017 in the shift work group and 243 in the day-to-night work group. The Poisson regression analysis revealed that fixed nighttime (regression coefficient [b] = -0.233, P=0.028) and shift work (b=0.098, P=0.034) independently contributed to the number of MetS-DC, compared to daytime work. The multivariate logistic analysis not including sleep hours in the model showed that shift work was positively related to MetS (odd ratio = 1.47, P<0.01). Conclusion: Shift work were significantly associated with the number of MetS-DC, and was related to risk of MetS compared to daytime work.

KW - Alcohol

KW - Diagnostic components

KW - International physical activity questionnaire

KW - Metabolic syndrome

KW - Shift work

KW - Smoking

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