Faculty Profiles - FUJIHARA Kazuya

Papers - FUJIHARA Kazuya

Division display 101 - 120 of about 320 ／ All the affair displays >>

HDLコレステロール値別にみたLDLコレステロールと冠動脈疾患との関連

山田万祐子, 藤原和哉, 大澤妙子, 北澤勝, 松林泰弘, 矢口雄大, 山本正彦, 佐藤隆明, 三ツ間友里恵, 岩永みどり, 山田貴穂, 児玉暁, 曽根博仁

日本内分泌学会雑誌 98 ( 1 ) 322 - 322 2022.4

AHA Life's simple 7に基づく腎透析導入リスクの予測

大澤妙子, 藤原和哉, 山田万祐子, 矢口雄大, 佐藤隆明, 北澤勝, 松林泰弘, 山田貴穂, 曽根博仁

糖尿病 65 ( Suppl.1 ) S - 142 2022.4

新たな総合体力指標を用いたメタボリックシンドロームの発症予測能の検討

佐藤隆明, 藤原和哉, 山田万祐子, 張かおり, 矢口雄大, 山本正彦, 北澤勝, 石黒創, 大澤妙子, 山田貴穂, 加藤公則, 曽根博仁

糖尿病 65 ( Suppl.1 ) S - 155 2022.4

青少年におけるスマートフォンを含むスクリーンタイムと肥満との関連

池田和泉, 藤原和哉, 森川咲子, 武田安永, 石黒創, 山田万祐子, 堀川千嘉, 松林泰弘, 山田貴穂, 曽根博仁

日本内分泌学会雑誌 98 ( 1 ) 296 - 296 2022.4

妊娠中期における糖代謝状態と低出生体重児出産との関連の検討

谷内洋子, 山田貴穂, 藤原和哉, 生魚薫, 堀川千嘉, 田中康弘, 龍野一郎, 曽根博仁

糖尿病 65 ( Suppl.1 ) S - 214 2022.4

肥満における各野菜摂取頻度と遺伝子・環境相互作用の検討

藤原和哉, 野川駿, 齋藤憲司, 堀川千嘉, 武田安永, 張かおり, 石黒創, 児玉暁, 曽根博仁

糖尿病 65 ( Suppl.1 ) S - 160 2022.4

日本人2型糖尿病患者における、年齢層別に見た食塩摂取量と心血管疾患発症との関係 J-EDIT・JDCSの解析から

堀川千嘉, 相田麗, 田中司朗, 鎌田智英実, 田中佐知子, 吉村幸雄, 小寺玲美, 藤原和哉, 守屋達美, 井藤英喜, 赤沼安夫, 荒木厚, 曽根博仁

糖尿病 65 ( Suppl.1 ) S - 142 2022.4

アレルギーの食餌制限によりヨード欠乏症を来した成人男性の一例

滝澤大輝, 日向裕大, 橋本浩平, 松林泰弘, 岩永みどり, 山田貴穂, 藤原和哉, 長崎啓祐, 曽根博仁

日本内分泌学会雑誌 98 ( 1 ) 349 - 349 2022.4

肥満傾向または肥満を合併した2型糖尿病高リスクを有する男性に対する血糖自己測定SMBGと栄養教育ツールを併用した栄養教育の効果

長谷川美代, 堀川千嘉, 田代稔, 鈴木沙織, 藤原和哉, 北澤勝, 加藤公則, 田中司朗, 曽根博仁

日本栄養士会雑誌 65 ( 3 ) 159 - 168 2022.3

Language：Japanese Publisher：(公社)日本栄養士会

肥満傾向または肥満を合併した2型糖尿病高リスク者において、摂取した食事の全体量、食べ方を振り返り、食後血糖との関連を把握できるための栄養教育とSMBGとの併用効果が血糖コントロールやBMIの改善に有効であるかを検討した。対象は、医療機関未受診の20〜69歳男性でHbA1c5.6%以上6.5%未満かつBMI24kg/m2以上の者31人を介入群15人、対照群16人に無作為化クラスター割り付けした。介入群には半年間週2回夕食2時間後にSMBGを行い、食事摂取と食後血糖の関係を認識するよう促し、その間管理栄養士と保健師が3回の栄養教育を実施し、対照群には3回の栄養教育のみ行った。解析条件を満たした者は介入群11人、対照群10人であった。介入群と対照群のHbA1cとBMIは、介入前後の変化量に有意差は認められなかった(p=0.09、0.44)。炭水化物エネルギー比は、介入群のみ介入後の比率が増える傾向にあった(p=0.06)。介入群では、内的誘惑に対する統制感が有意に改善した(p=0.01)。また、「食事量」の行動において介入群、対照群共に有意な改善が見られた(p=0.02、p=0.01)。SMBGと本栄養教育の併用が、1食における3大栄養素や食品群の適量を把握し、「栄養素が血糖に変わる速度と割合」の理解につながること、行動の振り返りと問題点の改善が自己効力感を高め、前向きな行動変容につながることが示唆された。(著者抄録)

researchmap

Leisure-time physical activity and incidence of objectively assessed hearing loss: The Niigata Wellness Study. International journal

Ryoko Kawakami, Susumu S Sawada, Kiminori Kato, Yuko Gando, Haruki Momma, Hideaki Oike, Motohiko Miyachi, I-Min Lee, Minoru Tashiro, Chika Horikawa, Hajime Ishiguro, Yasuhiro Matsubayashi, Kazuya Fujihara, Hirohito Sone

Scandinavian journal of medicine & science in sports 32 ( 2 ) 435 - 445 2022.2

Language：English Publishing type：Research paper (scientific journal)

Previous cohort study reported that high physical activity was associated with a low risk of self-reported hearing loss in women. However, no studies have examined the association between physical activity and the development of hearing loss as measured using an objective assessment of hearing loss in men and women. Here, we used cohort data to examine the association between leisure-time physical activity and incidence of objectively assessed hearing loss in men and women. Participants included 27 537 Japanese adults aged 20-80 years without hearing loss, who completed a self-administered physical activity questionnaire between April 2001 and March 2002. The participants were followed up for the development of hearing loss as measured by audiometry between April 2002 and March 2008. During follow-up, 3691 participants developed hearing loss. Compared with the none physical activity group, multivariable adjusted hazard ratios (HRs) for developing hearing loss were 0.93 (95% confidence interval (CI), 0.86-1.01) and 0.87 (0.81-0.95) for the medium (<525 MET-min/week) and high (≥525 MET-min/week) physical activity groups, respectively (p for trend = 0.001). The magnitude of risk reduction was slightly greater in vigorous-intensity activity than in moderate-intensity activity (p for interaction = 0.01). Analysis by sound frequency showed that the amount of physical activity was inversely associated with high frequency hearing loss development (p for trend <0.001), but not with low frequency hearing loss development (p for trend = 0.19). Higher level of leisure-time physical activity was associated with lower incidence of hearing loss, particularly for vigorous-intensity activities and high sound frequencies.

DOI： 10.1111/sms.14089

PubMed

researchmap

Higher Iron Intake Is Independently Associated with Obesity in Younger Japanese Type-2 Diabetes Mellitus Patients. International journal

Efrem d'Ávila Ferreira, Mariko Hatta, Yasunaga Takeda, Chika Horikawa, Mizuki Takeuchi, Noriko Kato, Hiroki Yokoyama, Yoshio Kurihara, Koichi Iwasaki, Kazuya Fujihara, Hiroshi Maegawa, Hirohito Sone

Nutrients 14 ( 1 ) 2022.1

Language：English Publishing type：Research paper (scientific journal)

We aimed to analyze the association between dietary iron intake and obesity assessed by BMI after adjustment for nutrient intake (macronutrients and fiber) and food groups. The study design was cross-sectional. Patients with type-2 diabetes (n = 1567; 63.1% males; mean age 62.3 ± 11.6 years) were included in the study. To assess diet, consumption of typical food groups was determined by a food frequency questionnaire. Obesity was defined as BMI ≥ 25 kg/m2. We performed a binary regression analysis between quartiles of iron intake and obesity by quartiles of age group. A direct linear association was found for the highest quartile of iron intake and obesity in the younger age group of 30 to 54 years (OR = 3.641, 95% CI = 1.020-12.990; p trend = 0.011). Multivariate analysis using food groups as opposed to nutrients revealed a positive trend for obesity in the younger age group after adjusting for lifestyle factors, energy intake and bean and vegetable intake (p trend = 0.023). In all participants, an inverse association was observed before adjustment by vegetable intake (OR = 0.453, 95% CI = 0.300-0.684; p trend = 0.001). Higher iron intake was associated with obesity independent of macronutrient and fiber intake but only in the youngest quartile of age group examined.

DOI： 10.3390/nu14010211

PubMed

researchmap

妊娠中期における母体のインスリン値と低出生体重児出産との関連の検討

谷内洋子, 藤原和哉, 堀川千嘉, 生魚薫, 山本正彦, 石澤正博, 山田貴穂, 児玉暁, 曽根博仁

Journal of Epidemiology 32 ( Suppl.1 ) 142 - 142 2022.1

耐糖能別おける収縮期血圧と冠動脈疾患(CAD)/脳血管疾患発症(CVD)の関連

藤原和哉, 山田万祐子, 山本正彦, 松林泰弘, 北澤勝, 石澤正博, 堀川千嘉, 児玉暁, 曽根博仁

Journal of Epidemiology 32 ( Suppl.1 ) 128 - 128 2022.1

XGBoost: Interpretable Machine Learning Approach in Medicine

Jenny Price, Tatsuya Yamazaki, Kazuya Fujihara, Hirohito Sone

WSCE 2022 - 2022 5th World Symposium on Communication Engineering 109 - 113 2022

Publishing type：Research paper (international conference proceedings)

This research tries to establish a communication bridge between the decision making of a practicing physician and a machine learning model. Machine learning has long been used to assist in diagnosing patients through deep learning and medical image analysis. However, in medical science, it is possible to have multiple right answers when treating patients. This leaves the practitioners room to exercise their judgement on what would be best for the patient. The machine learning model can be a communication tool to assist the practitioners in reach the final decision. In this paper, the machine learning model used for this experiment is XGBoost, a gradient boosted decision tree. Through the experiment with the real patient data, we show how decision tree constructions are easily readable for medical determination.

DOI： 10.1109/WSCE56210.2022.9916029

Scopus

researchmap

Predictive ability of current machine learning algorithms for type 2 diabetes mellitus: A meta-analysis.

Satoru Kodama, Kazuya Fujihara, Chika Horikawa, Masaru Kitazawa, Midori Iwanaga, Kiminori Kato, Kenichi Watanabe, Yoshimi Nakagawa, Takashi Matsuzaka, Hitoshi Shimano, Hirohito Sone

Journal of diabetes investigation 13 ( 5 ) 900 - 908 2021.12

Language：English Publishing type：Research paper (scientific journal)

AIMS/INTRODUCTION: Recently, an increasing number of cohort studies have suggested using machine learning (ML) to predict type 2 diabetes mellitus. However, its predictive ability remains inconclusive. This meta-analysis evaluated the current ability of ML algorithms for predicting incident type 2 diabetes mellitus. MATERIALS AND METHODS: We systematically searched longitudinal studies published from 1 January 1950 to 17 May 2020 using MEDLINE and EMBASE. Included studies had to compare ML's classification with the actual incidence of type 2 diabetes mellitus, and present data on the number of true positives, false positives, true negatives and false negatives. The dataset for these four values was pooled with a hierarchical summary receiver operating characteristic and a bivariate random effects model. RESULTS: There were 12 eligible studies. The pooled sensitivity, specificity, positive likelihood ratio and negative likelihood ratio were 0.81 (95% confidence interval [CI] 0.67-0.90), 0.82 [95% CI 0.74-0.88], 4.55 [95% CI 3.07-6.75] and 0.23 [95% CI 0.13-0.42], respectively. The area under the summarized receiver operating characteristic curve was 0.88 (95% CI 0.85-0.91). CONCLUSIONS: Current ML algorithms have sufficient ability to help clinicians determine whether individuals will develop type 2 diabetes mellitus in the future. However, persons should be cautious before changing their attitude toward future diabetes risk after learning the result of the diabetes prediction test using ML algorithms.

DOI： 10.1111/jdi.13736

PubMed

researchmap

Impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in Japanese

Momoko Oe, Kazuya Fujihara, Mayuko Harada-Yamada, Taeko Osawa, Masaru Kitazawa, Yasuhiro Matsubayashi, Takaaki Sato, Yuta Yaguchi, Midori Iwanaga, Hiroyasu Seida, Takaho Yamada, Hirohito Sone

Cardiovascular Diabetology 20 ( 1 ) 2021.12

Publishing type：Research paper (scientific journal) Publisher：Springer Science and Business Media LLC

<title>Abstract</title><sec>
<title>Background</title>
Although both a history of cerebrovascular disease (CVD) and glucose abnormality are risk factors for CVD, few large studies have examined their association with subsequent CVD in the same cohort. Thus, we compared the impact of prior CVD, glucose status, and their combinations on subsequent CVD using real-world data.

</sec><sec>
<title>Methods</title>
This is a retrospective cohort study including 363,627 men aged 18–72 years followed for ≥ 3 years between 2008 and 2016. Participants were classified as normoglycemia, borderline glycemia, or diabetes defined by fasting plasma glucose, HbA1c, and antidiabetic drug prescription. Prior and subsequent CVD (i.e. ischemic stroke, transient ischemic attack, and non-traumatic intracerebral hemorrhage) were identified according to claims using ICD-10 codes, medical procedures, and questionnaires.

</sec><sec>
<title>Results</title>
Participants’ mean age was 46.1 ± 9.3, and median follow up was 5.2 (4.2, 6.7) years. Cox regression analysis showed that prior CVD + conferred excess risk for CVD regardless of glucose status (normoglycemia: hazard ratio (HR), 8.77; 95% CI 6.96–11.05; borderline glycemia: HR, 7.40, 95% CI 5.97–9.17; diabetes: HR, 5.73, 95% CI 4.52–7.25). Compared with normoglycemia, borderline glycemia did not influence risk of CVD, whereas diabetes affected subsequent CVD in those with CVD- (HR, 1.50, 95% CI 1.34–1.68). In CVD-/diabetes, age, current smoking, systolic blood pressure, high-density lipoprotein cholesterol, and HbA1c were associated with risk of CVD, but only systolic blood pressure was related to CVD risk in CVD + /diabetes.

</sec><sec>
<title>Conclusions</title>
Prior CVD had a greater impact on the risk of CVD than glucose tolerance and glycemic control. In participants with diabetes and prior CVD, systolic blood pressure was a stronger risk factor than HbA1c. Individualized treatment strategies should consider glucose tolerance status and prior CVD.

</sec>

DOI： 10.1186/s12933-021-01367-7

researchmap

Other Link： https://link.springer.com/article/10.1186/s12933-021-01367-7/fulltext.html

Impact of Medication Adherence and Glycemic Control on the Risk of Micro- and Macrovascular Diseases in Patients with Diabetes. International journal

Yuta Yaguchi, Kazuya Fujihara, Mayuko Harada Yamada, Yasuhiro Matsubayashi, Takaho Yamada, Midori Iwanaga, Masaru Kitazawa, Masahiko Yamamoto, Hiroyasu Seida, Satoru Kodama, Hirohito Sone

The American journal of medicine 135 ( 4 ) 461 - 470 2021.11

Language：English Publishing type：Research paper (scientific journal)

PURPOSE: Our purpose in the research was to clarify the impact of medication adherence to oral hypoglycemic agents during a 1-year period and subsequent glycemic control on the risk of micro- and macrovascular diseases. METHODS: Examined was a nationwide claims database on 13,256 individuals with diabetic eye disease without requiring prior treatment, 7,862 without prior initiation of dialysis, 15,556 without prior coronary artery disease, 16,243 without prior cerebrovascular disease, and 19,386 without prior heart failure from 2008 to 2016 in Japan. Medication adherence was evaluated by the proportion of days covered. Patients were considered to have poor adherence if the proportion of days covered was <80%. Multivariate Cox regression model identified risks of micro- and macrovascular diseases. RESULTS: In each group, mean age was 53 to 54 years, HbA1c was 7.1% to 7.2%, and median follow-up period was 4.6 to 5.1 years, and the percentage of poor adherence was approximately 30%. During the study period, 532 treatment-requiring diabetic eye disease, 75 dialysis, 389 coronary artery disease, 316 cerebrovascular disease, and 144 heart failure events occurred. Multivariate Cox regression model revealed that the hazard ratio (95% confidence interval) of dialysis in the poor adherence group was 2.04 (1.27-3.30) compared with the good adherence group. The hazard ratios in the poor adherence/poor glycemic control group were 3.34 (2.63-4.24) for treatment-requiring diabetic eye disease, 4.23 (2.17-8.26) for dialysis, 1.69 (1.23-2.31) for coronary artery disease, and 2.08 (1.25-3.48) for heart failure compared with the good adherence/good glycemic control group. CONCLUSIONS: Poor medication adherence was an independent risk factor for the initiation of dialysis, suggesting that clinicians must pay close attention to these patients.

DOI： 10.1016/j.amjmed.2021.10.018

PubMed

researchmap

副腎腫瘍とK低値で内分泌疾患を疑うもGitelman症候群と考えた1例

中村博至, 矢口雄大, 佐藤孝明, 山本正彦, 石黒創, 北澤勝, 松林泰弘, 石澤正博, 鈴木浩史, 岩永みどり, 山田貴穂, 藤原和哉, 曽根博仁

日本内分泌学会雑誌 97 ( 2 ) 559 - 559 2021.10

Carrot Consumption Frequency Associated with Reduced BMI and Obesity through the SNP Intermediary rs4445711. International journal

Kazuya Fujihara, Shun Nogawa, Kenji Saito, Chika Horikawa, Yasunaga Takeda, Kaori Cho, Hajime Ishiguro, Satoru Kodama, Yoshimi Nakagawa, Takashi Matsuzaka, Hitoshi Shimano, Hirohito Sone

Nutrients 13 ( 10 ) 2021.9

Language：English Publishing type：Research paper (scientific journal)

It is unclear whether genetic interactions are involved in the association between vegetable intake and reduced body mass index (BMI) or obesity. We conducted a comprehensive search for single nucleotide polymorphisms (SNPs) which are associated with the interaction between vegetable intake frequency and BMI or obesity. We performed a genome-wide association analysis to evaluate the genetic interactions between self-reported intake of vegetables such as carrot, broccoli, spinach, other green vegetables (green pepper and green beans), pumpkin, and cabbage with BMI and obesity, which is defined as a BMI ≥ 25.0 kg/m2 in the Japanese population (n = 12,225). The mean BMI and prevalence of obesity was 23.9 ± 3.4 kg/m2 and 32.3% in men and 22.1 ± 3.8 kg/m2 and 17.3% in in women, respectively. A significant interaction was observed between rs4445711 and frequency of carrot intake on BMI (p = 4.5 × 10-8). This interaction was slightly attenuated after adjustment for age, sex, alcohol intake, smoking, physical activity and the frequency of total vegetable intake (p = 2.1 × 10-7). A significant interaction was also observed between rs4445711 and frequency of carrot intake on obesity (p = 2.5 × 10-8). No significant interactions that were the same as the interaction between frequency of carrot intake and rs4445711 were observed between the intake frequency of broccoli, spinach, other green vegetables, pumpkin or cabbage and BMI or obesity. The frequency of carrot consumption is implicated in reducing BMI by the intermediary of rs4445711. This novel genetic association may provide new clues to clarify the association between vegetable intake and BMI or obesity.

DOI： 10.3390/nu13103478

PubMed

researchmap

Secular Trends in Dietary Intake over a 20-Year Period in People with Type 2 Diabetes in Japan: A Comparative Study of Two Nationwide Registries; Japan Diabetes Complications Study (JDCS) and Japan Diabetes Clinical Data Management Study (JDDM). International journal

Mizuki Takeuchi, Chika Horikawa, Mariko Hatta, Yasunaga Takeda, Rina Nedachi, Izumi Ikeda, Sakiko Morikawa, Noriko Kato, Hiroki Yokoyama, Rei Aida, Shiro Tanaka, Chiemi Kamada, Yukio Yoshimura, Toshiko Saito, Kazuya Fujihara, Atsushi Araki, Hirohito Sone

Nutrients 13 ( 10 ) 2021.9

Language：English Publishing type：Research paper (scientific journal)

BACKGROUND: In order to provide effective dietary guidance, it is necessary to consider dietary intake, which can change over time. This study analyzed changes in the diet of Japanese patients with type 2 diabetes over a 20-year period. METHODS: We compared the results of two dietary surveys that used the food frequency questionnaire format. The first was conducted in 1996 by the Japan Diabetes Complications Study (JDCS) (n = 1509; males 53.3%), and the second in 2014-2018 by the Japan Diabetes Clinical Data Management Study (JDDM) (n = 1145; males 65.6%). Both are nationwide representative registries of outpatients with type 2 diabetes in Japan. RESULTS: Over a 20-year period, both men and women with type 2 diabetes had a significant increase in body mass index (BMI). Nonetheless, there was only a small change in energy intake. Conversely, there was a significant increase in fat intake and thus in the fat-to-energy ratio. With regard to food groups, there was a significant increase in meat intake and a decrease in the intake of fish, soybeans/soy products, vegetables, and fruits, with a particularly significant decrease in vegetables. CONCLUSIONS: Even in Japan, an industrialized country with a stable socioeconomic environment, there were many significant changes in the dietary intake of patients with type 2 diabetes over the 20-year period.

DOI： 10.3390/nu13103428

PubMed

researchmap

　 PREV - NEXT 　

<FUJIHARA Kazuya>

Papers - FUJIHARA Kazuya