Association between the combined fat mass and fat-free mass index and hypertension: The Tohoku Medical Megabank Community-based Cohort Study.


Journal

Clinical and experimental hypertension (New York, N.Y. : 1993)
ISSN: 1525-6006
Titre abrégé: Clin Exp Hypertens
Pays: England
ID NLM: 9305929

Informations de publication

Date de publication:
03 Oct 2021
Historique:
pubmed: 8 7 2021
medline: 16 10 2021
entrez: 7 7 2021
Statut: ppublish

Résumé

A  higher body fat percentage is associated with hypertension, even in non-obese individuals. The difference in body composition may be related to hypertension. The fat mass index (FMI) and fat-free mass index (FFMI) are proposed indicators of body composition. This study aimed to examine the relationship of a combination of FMI and FFMI with hypertension. We conducted a cross-sectional study of 5,058 men and 11,842 women aged ≥ 20 years in the Miyagi Prefecture, northeastern Japan. The FMI and FFMI were calculated as the fat mass and fat-free mass divided by the height squared, respectively. The indices were classified into quartiles and combined into 16 groups. Hypertension was defined as casual blood pressure ≥ 140/90 mmHg and/or self-reported treatment for hypertension. Multivariable logistic regression models, adjusted for potential confounders, were used to assess the relationship of a combination of FMI and FFMI with hypertension. Higher FMI was associated with hypertension in most of the FFMI subgroups. Similarly, a higher FFMI was associated with hypertension in most of FMI subgroups. For men, the association between FFMI and hypertension in the lowest FMI group was not significant. Reducing the FMI and FFMI may be important in preventing hypertension. For men, the relationship between the FFMI and hypertension in the lowest FMI group might be weak.

Sections du résumé

BACKGROUND BACKGROUND
A  higher body fat percentage is associated with hypertension, even in non-obese individuals. The difference in body composition may be related to hypertension. The fat mass index (FMI) and fat-free mass index (FFMI) are proposed indicators of body composition. This study aimed to examine the relationship of a combination of FMI and FFMI with hypertension.
METHODS METHODS
We conducted a cross-sectional study of 5,058 men and 11,842 women aged ≥ 20 years in the Miyagi Prefecture, northeastern Japan. The FMI and FFMI were calculated as the fat mass and fat-free mass divided by the height squared, respectively. The indices were classified into quartiles and combined into 16 groups. Hypertension was defined as casual blood pressure ≥ 140/90 mmHg and/or self-reported treatment for hypertension. Multivariable logistic regression models, adjusted for potential confounders, were used to assess the relationship of a combination of FMI and FFMI with hypertension.
RESULTS RESULTS
Higher FMI was associated with hypertension in most of the FFMI subgroups. Similarly, a higher FFMI was associated with hypertension in most of FMI subgroups. For men, the association between FFMI and hypertension in the lowest FMI group was not significant.
CONCLUSIONS CONCLUSIONS
Reducing the FMI and FFMI may be important in preventing hypertension. For men, the relationship between the FFMI and hypertension in the lowest FMI group might be weak.

Identifiants

pubmed: 34229544
doi: 10.1080/10641963.2021.1925681
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

610-621

Auteurs

Masato Takase (M)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Tomohiro Nakamura (T)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Naho Tsuchiya (N)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Mana Kogure (M)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Fumi Itabashi (F)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Akira Narita (A)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Takumi Hirata (T)

Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Public Health, Hokkaido University Faculty of Medicine, Kita-ku, Sapporo, Hokkaido, Japan.

Naoki Nakaya (N)

Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Health Sciences, Saitama Prefectural University, Koshigaya, Saitama, Japan.

Yohei Hamanaka (Y)

Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Junichi Sugawara (J)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Feto-Maternal Medical Science, Tohoku University Hospital, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Kichiya Suzuki (K)

Department of Biobank,Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Nobuo Fuse (N)

Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Public Relations and planning, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Akira Uruno (A)

Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Eiichi N Kodama (EN)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Infection Disease, International Research Institute of Disaster Science, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Shinichi Kuriyama (S)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of wct 2Disaster Public Health, International Research Institute of Disaster Science, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Ichiro Tsuji (I)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Shigeo Kure (S)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of pediatrics, Tohoku University Hospital, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Atsushi Hozawa (A)

Graduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

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