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国際保健統計研究室

国民健康・栄養調査等の公的な保健統計の調査票情報を中心に、大規模データを活用した統計解析を行うとともに国際共同研究にも参加し、国際社会における日本国民の健康増進に資するデータと情報を発信しています。

特に、国民健康・栄養調査等のデータを活用して、国民の健康・栄養状態をモニタリングする手法を確立するための検討を行っています。

また、海外の保健統計研究者との研究ネットワークを構築し、高度な疫学的分析結果をもとに、国際的な一流学術誌に論文を発表しています。


研究テーマの具体例:  

・健康の社会的決定要因を含む、生活習慣病等の増加を引き起こす社会環境の構造的要因

・生活習慣病等の危険因子や病態、合併症に関する健康格差

・食生活の多様化と健康への影響、及び食生活の改善施策


研究協力者を随時募集しています。



競争的研究資金の獲得状況


・平成30〜32年度科学研究費助成事業(基盤研究(B))、「非感染性疾患関連要因の推移と格差に関する大規模保健統計データの時空間的統合解析」(研究代表者:池田奈由、研究分担者:西 信雄、中谷友樹)

・平成27〜28年度厚生労働科学研究費補助金(政策科学総合研究事業(統計情報総合研究))、「21世紀出生児縦断調査等の高度利用による家庭環境等と子どもの健やかな成長との関連に関する学際的研究」(研究代表者:池田奈由、研究分担者:西 信雄)

・平成27〜29年度科学研究費助成事業(基盤研究(C))、「国民健康・栄養調査における非協力者バイアス修正のための統計手法の開発と応用」(研究代表者:池田奈由、研究分担者:西 信雄)

・平成24〜26年度科学研究費助成事業(基盤研究(C))、「保健システム評価指標を用いた疾病の治療管理実態に関する研究」(研究代表者:池田奈由、連携研究者:西 信雄)



過去5年間の研究成果(2018年4月時点)


総説

Fuse K, Nishi N, Ikeda N. Cohort Profile: 2001 Cohort of the Longitudinal Survey of Newborns in the 21st Century. Int J Epidemiol 2017;46:1398-1398f.

Ikeda N. Secondary data analysis of national surveys in Japan toward improving population health. J Epidemiol 2016;26:106-114.

Ikeda N, Takimoto H, Imai S, Miyachi M, Nishi N. Data Resource Profile: The Japan National Health and Nutrition Survey (NHNS). Int J Epidemiol 2015; 44:1842-1849.


原著論文

  • NCD Risk Factor Collaboration (NCD-RisC). Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88.6 million participants. Int J Epidemiol, March 19, 2018.
  • NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet. 2017;390:2627-2642.
  • GBD 2016 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390:1345-1422.
  • Tareque MI, Ikeda N, Koshio A, Hasegawa T. Vignettes and differential health reporting: results from the Japanese World Health Survey. Cad Saude Publica. 2017;33:e00091216. Ikeda N, Nishi N, Noda H, Noda M. Trends in prevalence and management of diabetes and related vascular risks in Japanese adults: Japan National Health and Nutrition Surveys 2003-2012. Diabetes Res Clin Pract 2017;127:115-122.
  • Ikeda N, Fuse K, Nishi N. Changes in the effects of living with no siblings or living with grandparents on overweight and obesity in children: Results from a national cohort study in Japan. PLoS One 2017;12(4):e0175726.
  • Ueda P, Woodward M, Lu Y, et al. Laboratory-based and office-based risk scores and charts to predict 10-year risk of cardiovascular disease in 182 countries: a pooled analysis of prospective cohorts and health surveys. Lancet Diabetes Endocrinol 2017;5:196-213.
  • NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19.1 million participants. Lancet 2017;389:37-55.
  • NCD Risk Factor Collaboration (NCD-RisC). A century of trends in adult human height. Elife 2016;5:e13410.
  • NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet 2016;387:1513-1530.
  • NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet 2016;387:1377-1396.
  • Ikeda N. Validity of Self-Reports of Height and Weight among the General Adult Population in Japan: Findings from National Household Surveys, 1986. PLoS One 2016 10;11(2):e0148297.
  • Tareque MI, Ikeda N, Koshio N, Hasegawa T. Is Adjustment for Reporting Heterogeneity Necessary in Sleep Disorders? Results from the Japanese World Health Survey. BMC Psychiatry 2016;16(1):25.
  • Ikeda N, Okuda N, Tsubota-Utsugi M, Nishi N. Association of energy intake with the lack of in-person review of household dietary records: analysis of Japan National Health and Nutrition Surveys from 1997 to 2011. J Epidemiol 2016;26:84-91.
  • GBD 2013 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015;86:2287-323.
  • NCD Risk Factor Collaboration (NCD-RisC). Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331,288 participants. Lancet Diabetes Endocrinol. 2015;3:624-37.
  • Hajifathalian K, Ueda P, Lu Y, et al. A novel risk score to predict cardiovascular disease risk in national populations (Globorisk): a pooled analysis of prospective cohorts and health examination surveys. Lancet Diabetes Endocrinol. 2015;3:339-55.
  • Nishi N, Yoshizawa T, Ikeda N, Tsubota-Utsugi M, Okuda N. Factors associated with cooperation for blood testing in the National Health and Nutrition Survey. Japanese Journal of Cardiovascular Disease Prevention 2015;50:27-34. (In Japanese)
  • Goto M, Goto A, Ikeda N, Noda H, Shibuya K, Noda M. Factors associated with untreated diabetes: analysis of data from 20,496 participants in the Japanese national health and nutrition survey. PLoS One 2015;10(3):e0118749.
  • GBD 2013 Mortality and Causes of Death Collaborators. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015;385:117-71.
  • Ng M, Fleming T, Robinson M, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014;384:766-81.
  • Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration. Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment. Lancet Diabetes Endocrinol. 2014;2:634-47.
  • Ikeda N, Sapienza D, Guerrero R, Aekplakorn W, Naghavi M, Mokdad AH, Lozano R, Murray CJL, Lim SS. Control of hypertension with medication: a comparative analysis of national surveys in 20 countries. Bull World Health Organ 2014;92:10-19.


  • 2020年10月1日更新