著者
Masato Takase Mitsuhiro Yamada Tomohiro Nakamura Naoki Nakaya Mana Kogure Rieko Hatanaka Kumi Nakaya Ippei Chiba Ikumi Kanno Kotaro Nochioka Naho Tsuchiya Takumi Hirata Yohei Hamanaka Junichi Sugawara Tomoko Kobayashi Nobuo Fuse Akira Uruno Eiichi N Kodama Shinichi Kuriyama Ichiro Tsuji Atsushi Hozawa
出版者
Japan Epidemiological Association
雑誌
Journal of Epidemiology (ISSN:09175040)
巻号頁・発行日
pp.JE20220355, (Released:2023-04-08)
参考文献数
44
被引用文献数
1

Background: Although fat mass index (FMI) and fat-free mass index (FFMI) affect lung function, FMI and FFMI are not independent of each other since FMI and FFMI were calculated as fat mass and fat-free mass divided by height squared, respectively. We aimed to examine the association of combined FMI and FFMI with lung function.Methods: In this cross-sectional study, lung function was evaluated using forced expiratory volume at 1 s and forced vital capacity was measured using spirometry. Both FMI and FFMI were classified into sex-specific quartiles (16 groups). Analysis of covariance was used to assess the associations of combined FMI and FFMI with lung function. The trend test was conducted by stratifying the FMI and FFMI, scoring the categories from 1–4 (lowest–highest), and entering the number as a continuous term in the regression model.Results: This study included 3,736 men and 8,821 women aged ≥20 years living in Miyagi Prefecture, Japan. The mean FEV1 (standard deviation) was 3.0 (0.7) L for men and 2.3 (0.5) L for women. The mean FVC was 3.8 (0.7) L for men and 2.8 (0.5) L for women. The FMI was inversely associated with lung function among all FFMI subgroups in both sexes. Conversely, FFMI was positively associated with lung function in all FMI subgroups in both sexes.Conclusions: Higher FMI was associated with lower lung function independent of FFMI; higher FFMI was associated with higher lung function independent of FMI. Reducing FMI and maintaining FFMI might be important for respiratory health.
著者
Masato Takase Naoki Nakaya Tomohiro Nakamura Mana Kogure Rieko Hatanaka Kumi Nakaya Ippei Chiba Ikumi Kanno Kotaro Nochioka Naho Tsuchiya Takumi Hirata Akira Narita Taku Obara Mami Ishikuro Akira Uruno Tomoko Kobayashi Eiichi N Kodama Yohei Hamanaka Masatsugu Orui Soichi Ogishima Satoshi Nagaie Nobuo Fuse Junichi Sugawara Shinichi Kuriyama Ichiro Tsuji Gen Tamiya Atsushi Hozawa Masayuki Yamamoto the ToMMo investigators
出版者
Japan Atherosclerosis Society
雑誌
Journal of Atherosclerosis and Thrombosis (ISSN:13403478)
巻号頁・発行日
pp.64425, (Released:2023-10-06)
参考文献数
42
被引用文献数
1

Aim: The influence of family history of diabetes, probably reflecting genetic and lifestyle factors, on the association of combined genetic and lifestyle risks with diabetes is unknown. We examined these associations. Methods: This cross-sectional study included 9,681 participants in the Tohoku Medical Megabank Community-based Cohort Study. A lifestyle score, which was categorized into ideal, intermediate, and poor lifestyles, was given. Family history was obtained through a self-reported questionnaire. A polygenic risk score (PRS) was constructed in the target data (n=1,936) using publicly available genome-wide association study summary statistics from BioBank Japan. For test data (n=7,745), we evaluated PRS performance and examined the associations of combined family history and genetic and lifestyle risks with diabetes. Diabetes was defined as non-fasting blood glucose ≥ 200 mmHg, HbA1c ≥ 6.5%, and/or self-reported diabetes treatment. Results: In test data, 467 (6.0%) participants had diabetes. Compared with a low genetic risk and an ideal lifestyle without a family history, the odds ratio (OR) was 3.73 (95% confidence interval [CI], 1.92–7.00) for a lower genetic risk and a poor lifestyle without a family history. Family history was significantly associated with diabetes (OR, 3.58 [95% CI, 1.73–6.98]), even in those with a low genetic risk and an ideal lifestyle. Even among participants who had an ideal lifestyle without a family history, a high genetic risk was associated with diabetes (OR, 2.49 [95% CI, 1.65–3.85]). Adding PRS to family history and conventional lifestyle risk factors improved the prediction ability for diabetes. Conclusions: Our findings support the notion that a healthy lifestyle is important to prevent diabetes regardless of genetic risk.
著者
Masato Takase Naoki Nakaya Tomohiro Nakamura Mana Kogure Rieko Hatanaka Kumi Nakaya Ippei Chiba Ikumi Kanno Kotaro Nochioka Naho Tsuchiya Takumi Hirata Yohei Hamanaka Junichi Sugawara Tomoko Kobayashi Nobuo Fuse Akira Uruno Eiichi N Kodama Shinichi Kuriyama Ichiro Tsuji Atsushi Hozawa
出版者
Japan Atherosclerosis Society
雑誌
Journal of Atherosclerosis and Thrombosis (ISSN:13403478)
巻号頁・発行日
pp.64039, (Released:2023-02-11)
参考文献数
56
被引用文献数
2

Aim: We examined the association between the carotid intima medica thickness (cIMT) and risk factors for atherosclerosis based on the Japan Atherosclerosis Society 2022 Atherosclerosis Prevention Guideline. Methods: Using data from the Tohoku Medical Megabank Community-based Cohort Study, we performed a cross-sectional study that enrolled 13,366 participants (age ≥ 20 years) with an analysis of covariance to assess associations between cIMT and risk factors for atherosclerosis. The maximum common carotid artery was measured using high-resolution B-mode ultrasound. Analysis was conducted in the model adjusted for age, sex, smoking status, drinking status, body mass index (BMI), systolic blood pressure (SBP), glycated hemoglobin (HbA1c), high-density lipoprotein-cholesterol (HDL-C), non-high-density lipoprotein-cholesterol (non-HDL-C), and height. Results: In this study cohort, the average age and cIMT were 57.3 (13.8) years and 0.61 (0.13) mm, respectively, which included 3,988 males (29.8%). Males had a higher cIMT than did the females. Age, height, BMI, SBP, HbA1c, and non-HDL-C were positively associated with cIMT. HDL-C was inversely associated with cIMT. Compared with never drinkers, current drinkers (≥ 46.0 g/day) had a significantly decreased cIMT. Conclusions: The cIMT was associated with atherosclerosis risk factors including age, sex, BMI, SBP, HbA1c, non-HDL-C, and HDL-C, and adequate control of risks in high-risk individuals might be required to prevent atherosclerotic cardiovascular diseases.