Visit-to-visit variability of blood pressure and cardiovascular events among the working-age population in Japan : findings from the Japan Epidemiology Collaboration on Occupational Health Study
© 2021. The Author(s), under exclusive licence to The Japanese Society of Hypertension..
Increased visit-to-visit variability (VVV) of blood pressure, which is calculated based on several readings, has been suggested to be a significant predictor of cardiovascular events and mortality, independent of mean blood pressure. This study examined associations between the VVV of systolic blood pressure (SBP) measured annually and cardiovascular disease (CVD) events among 72,617 Japanese subjects. Data were obtained from the Japan Epidemiology Collaboration on Occupational Health Study, which is an ongoing epidemiological survey of workers in Japan. VVV was calculated as the coefficient of variation of SBP readings from 2008 to 2011; information on fatal and nonfatal CVD events was collected from registries of specific outcomes between April 2012 and March 2019. A Cox proportional hazards model was applied to investigate associations after adjusting for mean SBP between 2008 and 2011 and covariates. During the 7-year follow-up period, there were 63 CVD fatalities and 314 CVD events (combining fatal and nonfatal events). The results showed that a one-standard deviation increase in VVV was associated with a significant increase in the risk of CVD mortality (hazard ratio [HR] = 1.42; 95% confidence interval [CI] = 1.32-1.54); those in the highest tertile had a 3.20 times (95% CI = 1.26-8.17) higher risk of CVD mortality than those in the lowest tertile. We found less pronounced associations regarding CVD events (HR = 1.08, 95% CI = 1.02-1.15). In conclusion, VVV was significantly associated with CVD mortality in our Japanese working population.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:44 |
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| Enthalten in: |
Hypertension research : official journal of the Japanese Society of Hypertension - 44(2021), 8 vom: 14. Aug., Seite 1017-1025 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Inoue, Yosuke [VerfasserIn] |
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| Links: |
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| Themen: |
Asia |
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| Anmerkungen: |
Date Completed 25.01.2022 Date Revised 01.02.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1038/s41440-021-00654-w |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM325421099 |
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| 100 | 1 | |a Inoue, Yosuke |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Visit-to-visit variability of blood pressure and cardiovascular events among the working-age population in Japan |b findings from the Japan Epidemiology Collaboration on Occupational Health Study |
| 264 | 1 | |c 2021 | |
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| 500 | |a Date Revised 01.02.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021. The Author(s), under exclusive licence to The Japanese Society of Hypertension. | ||
| 520 | |a Increased visit-to-visit variability (VVV) of blood pressure, which is calculated based on several readings, has been suggested to be a significant predictor of cardiovascular events and mortality, independent of mean blood pressure. This study examined associations between the VVV of systolic blood pressure (SBP) measured annually and cardiovascular disease (CVD) events among 72,617 Japanese subjects. Data were obtained from the Japan Epidemiology Collaboration on Occupational Health Study, which is an ongoing epidemiological survey of workers in Japan. VVV was calculated as the coefficient of variation of SBP readings from 2008 to 2011; information on fatal and nonfatal CVD events was collected from registries of specific outcomes between April 2012 and March 2019. A Cox proportional hazards model was applied to investigate associations after adjusting for mean SBP between 2008 and 2011 and covariates. During the 7-year follow-up period, there were 63 CVD fatalities and 314 CVD events (combining fatal and nonfatal events). The results showed that a one-standard deviation increase in VVV was associated with a significant increase in the risk of CVD mortality (hazard ratio [HR] = 1.42; 95% confidence interval [CI] = 1.32-1.54); those in the highest tertile had a 3.20 times (95% CI = 1.26-8.17) higher risk of CVD mortality than those in the lowest tertile. We found less pronounced associations regarding CVD events (HR = 1.08, 95% CI = 1.02-1.15). In conclusion, VVV was significantly associated with CVD mortality in our Japanese working population | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Asia | |
| 650 | 4 | |a Cardiovascular diseases | |
| 650 | 4 | |a Longitudinal studies | |
| 650 | 4 | |a Occupational health | |
| 700 | 1 | |a Kuwahara, Keisuke |e verfasserin |4 aut | |
| 700 | 1 | |a Hu, Huan |e verfasserin |4 aut | |
| 700 | 1 | |a Yamamoto, Shuichiro |e verfasserin |4 aut | |
| 700 | 1 | |a Nakagawa, Tohru |e verfasserin |4 aut | |
| 700 | 1 | |a Honda, Toru |e verfasserin |4 aut | |
| 700 | 1 | |a Eguchi, Masafumi |e verfasserin |4 aut | |
| 700 | 1 | |a Kochi, Takeshi |e verfasserin |4 aut | |
| 700 | 1 | |a Okazaki, Hiroko |e verfasserin |4 aut | |
| 700 | 1 | |a Miyamoto, Toshiaki |e verfasserin |4 aut | |
| 700 | 1 | |a Shimizu, Makiko |e verfasserin |4 aut | |
| 700 | 1 | |a Ogasawara, Takayuki |e verfasserin |4 aut | |
| 700 | 1 | |a Sasaki, Naoko |e verfasserin |4 aut | |
| 700 | 1 | |a Uehara, Akihiko |e verfasserin |4 aut | |
| 700 | 1 | |a Yamamoto, Makoto |e verfasserin |4 aut | |
| 700 | 1 | |a Tomita, Kentaro |e verfasserin |4 aut | |
| 700 | 1 | |a Hori, Ai |e verfasserin |4 aut | |
| 700 | 1 | |a Nagahama, Satsue |e verfasserin |4 aut | |
| 700 | 1 | |a Kabe, Isamu |e verfasserin |4 aut | |
| 700 | 1 | |a Mizoue, Tetsuya |e verfasserin |4 aut | |
| 700 | 1 | |a Dohi, Seitaro |e verfasserin |4 aut | |
| 700 | 0 | |a and the J-ECOH study group |e verfasserin |4 aut | |
| 700 | 1 | |a Nakagawa, Tohru |e investigator |4 oth | |
| 700 | 1 | |a Yamamoto, Shuichiro |e investigator |4 oth | |
| 700 | 1 | |a Honda, Toru |e investigator |4 oth | |
| 700 | 1 | |a Shirasaka, Taiki |e investigator |4 oth | |
| 700 | 1 | |a Mizuta, Isagi |e investigator |4 oth | |
| 700 | 1 | |a Shimizu, Makiko |e investigator |4 oth | |
| 700 | 1 | |a Gonmori, Naoki |e investigator |4 oth | |
| 700 | 1 | |a Kitahara, Kayo |e investigator |4 oth | |
| 700 | 1 | |a Yokoya, Toshitaka |e investigator |4 oth | |
| 700 | 1 | |a Nishiura, Chihiro |e investigator |4 oth | |
| 700 | 1 | |a Imai, Teppei |e investigator |4 oth | |
| 700 | 1 | |a Nishihara, Akiko |e investigator |4 oth | |
| 700 | 1 | |a Fukasawa, Kenji |e investigator |4 oth | |
| 700 | 1 | |a Yamamoto, Kenya |e investigator |4 oth | |
| 700 | 1 | |a Kuroda, Reiko |e investigator |4 oth | |
| 700 | 1 | |a Kato, Noritada |e investigator |4 oth | |
| 700 | 1 | |a Kawashima, Masatoshi |e investigator |4 oth | |
| 700 | 1 | |a Kinugawa, Chihiro |e investigator |4 oth | |
| 700 | 1 | |a Totsuzaki, Takafumi |e investigator |4 oth | |
| 700 | 1 | |a Masuda, Masashi |e investigator |4 oth | |
| 700 | 1 | |a Sakamoto, Nobuaki |e investigator |4 oth | |
| 700 | 1 | |a Ohsaki, Yohei |e investigator |4 oth | |
| 700 | 1 | |a Tomizawa, Aki |e investigator |4 oth | |
| 700 | 1 | |a Nagahama, Satsue |e investigator |4 oth | |
| 700 | 1 | |a Ohtsu, Mayumi |e investigator |4 oth | |
| 700 | 1 | |a Endo, Motoki |e investigator |4 oth | |
| 700 | 1 | |a Nakashima, Hiroshi |e investigator |4 oth | |
| 700 | 1 | |a Tatemichi, Masauyki |e investigator |4 oth | |
| 700 | 1 | |a Fukai, Kota |e investigator |4 oth | |
| 700 | 1 | |a Kawashima, Megumi |e investigator |4 oth | |
| 700 | 1 | |a Kunugita, Naoki |e investigator |4 oth | |
| 700 | 1 | |a Sone, Tomofumi |e investigator |4 oth | |
| 700 | 1 | |a Ohkubo, Toshiteru |e investigator |4 oth | |
| 700 | 1 | |a Mizoue, Tetsuya |e investigator |4 oth | |
| 700 | 1 | |a Inoue, Yosuke |e investigator |4 oth | |
| 700 | 1 | |a Miki, Takako |e investigator |4 oth | |
| 700 | 1 | |a Fukunaga, Ami |e investigator |4 oth | |
| 700 | 1 | |a Yamamoto, Shohei |e investigator |4 oth | |
| 700 | 1 | |a Konishi, Maki |e investigator |4 oth | |
| 700 | 1 | |a Katayama, Nobumi |e investigator |4 oth | |
| 700 | 1 | |a Osawa, Rika |e investigator |4 oth | |
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