Cargando…

Risk Classification for Metabolic Syndrome and the Incidence of Cardiovascular Disease in Japan With Low Prevalence of Obesity: A Pooled Analysis of 10 Prospective Cohort Studies

BACKGROUND: It is uncertain whether risk classification under the nationwide program on screening and lifestyle modification for metabolic syndrome captures well high‐risk individuals who could benefit from lifestyle interventions. We examined the validity of risk classification by linking the incid...

Descripción completa

Detalles Bibliográficos
Autores principales: Iso, Hiroyasu, Cui, Renzhe, Takamoto, Iseki, Kiyama, Masahiko, Saito, Isao, Okamura, Tomonori, Miyamoto, Yoshihiro, Higashiyama, Aya, Kiyohara, Yutaka, Ninomiya, Toshiharu, Yamada, Michiko, Nakagawa, Hideaki, Sakurai, Masaru, Shimabukuro, Michio, Higa, Moritake, Shimamoto, Kazuaki, Saito, Shigeyuki, Daimon, Makoto, Kayama, Takamasa, Noda, Mitsuhiko, Ito, Sadayoshi, Yokote, Koutaro, Ito, Chikako, Nakao, Kazuwa, Yamauchi, Toshimasa, Kadowaki, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075363/
https://www.ncbi.nlm.nih.gov/pubmed/34796738
http://dx.doi.org/10.1161/JAHA.121.020760
_version_ 1784701665939554304
author Iso, Hiroyasu
Cui, Renzhe
Takamoto, Iseki
Kiyama, Masahiko
Saito, Isao
Okamura, Tomonori
Miyamoto, Yoshihiro
Higashiyama, Aya
Kiyohara, Yutaka
Ninomiya, Toshiharu
Yamada, Michiko
Nakagawa, Hideaki
Sakurai, Masaru
Shimabukuro, Michio
Higa, Moritake
Shimamoto, Kazuaki
Saito, Shigeyuki
Daimon, Makoto
Kayama, Takamasa
Noda, Mitsuhiko
Ito, Sadayoshi
Yokote, Koutaro
Ito, Chikako
Nakao, Kazuwa
Yamauchi, Toshimasa
Kadowaki, Takashi
author_facet Iso, Hiroyasu
Cui, Renzhe
Takamoto, Iseki
Kiyama, Masahiko
Saito, Isao
Okamura, Tomonori
Miyamoto, Yoshihiro
Higashiyama, Aya
Kiyohara, Yutaka
Ninomiya, Toshiharu
Yamada, Michiko
Nakagawa, Hideaki
Sakurai, Masaru
Shimabukuro, Michio
Higa, Moritake
Shimamoto, Kazuaki
Saito, Shigeyuki
Daimon, Makoto
Kayama, Takamasa
Noda, Mitsuhiko
Ito, Sadayoshi
Yokote, Koutaro
Ito, Chikako
Nakao, Kazuwa
Yamauchi, Toshimasa
Kadowaki, Takashi
author_sort Iso, Hiroyasu
collection PubMed
description BACKGROUND: It is uncertain whether risk classification under the nationwide program on screening and lifestyle modification for metabolic syndrome captures well high‐risk individuals who could benefit from lifestyle interventions. We examined the validity of risk classification by linking the incidence of cardiovascular disease (CVD). METHODS AND RESULTS: Individual‐level data of 29 288 Japanese individuals aged 40 to 74 years without a history of CVD from 10 prospective cohort studies were used. Metabolic syndrome was defined as the presence of high abdominal obesity and/or overweight plus risk factors such as high blood pressure, high triglyceride or low high‐density lipoprotein cholesterol levels, and high blood glucose levels. The risk categories for lifestyle intervention were information supply only, motivation‐support intervention, and intensive support intervention. Sex‐ and age‐specific hazard ratios and population attributable fractions of CVD, which were also further adjusted to consider non–high density lipoprotein cholesterol levels, were estimated with reference to nonobese/overweight individuals, using Cox proportional hazard regression. Since the reference category included those with risk factors, we set a supernormal group (nonobese/overweight with no risk factor) as another reference. We documented 1023 incident CVD cases (565 men and 458 women). The adjusted CVD risk was 60% to 70% higher in men and women aged 40 to 64 years receiving an intensive support intervention, and 30% higher in women aged 65 to 74 years receiving a motivation‐support intervention, compared with nonobese/overweight individuals. The population attributable fractions in men and women aged 40 to 64 years receiving an intensive support intervention were 17.7% and 6.6%, respectively, while that in women aged 65 to 74 years receiving a motivation‐support intervention was 9.4%. Compared with the supernormal group, nonobese/overweight individuals with risk factors had similar hazard ratios and population attributable fractions as individuals with metabolic syndrome. CONCLUSIONS: Similar CVD excess and attributable risks among individuals with metabolic syndrome components in the absence and presence of obesity/overweight imply the need for lifestyle modification in both high‐risk groups.
format Online
Article
Text
id pubmed-9075363
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-90753632022-05-10 Risk Classification for Metabolic Syndrome and the Incidence of Cardiovascular Disease in Japan With Low Prevalence of Obesity: A Pooled Analysis of 10 Prospective Cohort Studies Iso, Hiroyasu Cui, Renzhe Takamoto, Iseki Kiyama, Masahiko Saito, Isao Okamura, Tomonori Miyamoto, Yoshihiro Higashiyama, Aya Kiyohara, Yutaka Ninomiya, Toshiharu Yamada, Michiko Nakagawa, Hideaki Sakurai, Masaru Shimabukuro, Michio Higa, Moritake Shimamoto, Kazuaki Saito, Shigeyuki Daimon, Makoto Kayama, Takamasa Noda, Mitsuhiko Ito, Sadayoshi Yokote, Koutaro Ito, Chikako Nakao, Kazuwa Yamauchi, Toshimasa Kadowaki, Takashi J Am Heart Assoc Original Research BACKGROUND: It is uncertain whether risk classification under the nationwide program on screening and lifestyle modification for metabolic syndrome captures well high‐risk individuals who could benefit from lifestyle interventions. We examined the validity of risk classification by linking the incidence of cardiovascular disease (CVD). METHODS AND RESULTS: Individual‐level data of 29 288 Japanese individuals aged 40 to 74 years without a history of CVD from 10 prospective cohort studies were used. Metabolic syndrome was defined as the presence of high abdominal obesity and/or overweight plus risk factors such as high blood pressure, high triglyceride or low high‐density lipoprotein cholesterol levels, and high blood glucose levels. The risk categories for lifestyle intervention were information supply only, motivation‐support intervention, and intensive support intervention. Sex‐ and age‐specific hazard ratios and population attributable fractions of CVD, which were also further adjusted to consider non–high density lipoprotein cholesterol levels, were estimated with reference to nonobese/overweight individuals, using Cox proportional hazard regression. Since the reference category included those with risk factors, we set a supernormal group (nonobese/overweight with no risk factor) as another reference. We documented 1023 incident CVD cases (565 men and 458 women). The adjusted CVD risk was 60% to 70% higher in men and women aged 40 to 64 years receiving an intensive support intervention, and 30% higher in women aged 65 to 74 years receiving a motivation‐support intervention, compared with nonobese/overweight individuals. The population attributable fractions in men and women aged 40 to 64 years receiving an intensive support intervention were 17.7% and 6.6%, respectively, while that in women aged 65 to 74 years receiving a motivation‐support intervention was 9.4%. Compared with the supernormal group, nonobese/overweight individuals with risk factors had similar hazard ratios and population attributable fractions as individuals with metabolic syndrome. CONCLUSIONS: Similar CVD excess and attributable risks among individuals with metabolic syndrome components in the absence and presence of obesity/overweight imply the need for lifestyle modification in both high‐risk groups. John Wiley and Sons Inc. 2021-11-19 /pmc/articles/PMC9075363/ /pubmed/34796738 http://dx.doi.org/10.1161/JAHA.121.020760 Text en © 2021 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Iso, Hiroyasu
Cui, Renzhe
Takamoto, Iseki
Kiyama, Masahiko
Saito, Isao
Okamura, Tomonori
Miyamoto, Yoshihiro
Higashiyama, Aya
Kiyohara, Yutaka
Ninomiya, Toshiharu
Yamada, Michiko
Nakagawa, Hideaki
Sakurai, Masaru
Shimabukuro, Michio
Higa, Moritake
Shimamoto, Kazuaki
Saito, Shigeyuki
Daimon, Makoto
Kayama, Takamasa
Noda, Mitsuhiko
Ito, Sadayoshi
Yokote, Koutaro
Ito, Chikako
Nakao, Kazuwa
Yamauchi, Toshimasa
Kadowaki, Takashi
Risk Classification for Metabolic Syndrome and the Incidence of Cardiovascular Disease in Japan With Low Prevalence of Obesity: A Pooled Analysis of 10 Prospective Cohort Studies
title Risk Classification for Metabolic Syndrome and the Incidence of Cardiovascular Disease in Japan With Low Prevalence of Obesity: A Pooled Analysis of 10 Prospective Cohort Studies
title_full Risk Classification for Metabolic Syndrome and the Incidence of Cardiovascular Disease in Japan With Low Prevalence of Obesity: A Pooled Analysis of 10 Prospective Cohort Studies
title_fullStr Risk Classification for Metabolic Syndrome and the Incidence of Cardiovascular Disease in Japan With Low Prevalence of Obesity: A Pooled Analysis of 10 Prospective Cohort Studies
title_full_unstemmed Risk Classification for Metabolic Syndrome and the Incidence of Cardiovascular Disease in Japan With Low Prevalence of Obesity: A Pooled Analysis of 10 Prospective Cohort Studies
title_short Risk Classification for Metabolic Syndrome and the Incidence of Cardiovascular Disease in Japan With Low Prevalence of Obesity: A Pooled Analysis of 10 Prospective Cohort Studies
title_sort risk classification for metabolic syndrome and the incidence of cardiovascular disease in japan with low prevalence of obesity: a pooled analysis of 10 prospective cohort studies
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075363/
https://www.ncbi.nlm.nih.gov/pubmed/34796738
http://dx.doi.org/10.1161/JAHA.121.020760
work_keys_str_mv AT isohiroyasu riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT cuirenzhe riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT takamotoiseki riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT kiyamamasahiko riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT saitoisao riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT okamuratomonori riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT miyamotoyoshihiro riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT higashiyamaaya riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT kiyoharayutaka riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT ninomiyatoshiharu riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT yamadamichiko riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT nakagawahideaki riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT sakuraimasaru riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT shimabukuromichio riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT higamoritake riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT shimamotokazuaki riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT saitoshigeyuki riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT daimonmakoto riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT kayamatakamasa riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT nodamitsuhiko riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT itosadayoshi riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT yokotekoutaro riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT itochikako riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT nakaokazuwa riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT yamauchitoshimasa riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies
AT kadowakitakashi riskclassificationformetabolicsyndromeandtheincidenceofcardiovasculardiseaseinjapanwithlowprevalenceofobesityapooledanalysisof10prospectivecohortstudies