These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 36447442)

  • 1. Impact of a national screening programme on obesity and cardiovascular risk factors.
    Nakao YM; Gale CP; Miyazaki K; Kobayashi H; Matsuda A; Nadarajah R; Motonishi T
    Eur J Prev Cardiol; 2023 Mar; 30(4):331-339. PubMed ID: 36447442
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Association of the National Health Guidance Intervention for Obesity and Cardiovascular Risks With Health Outcomes Among Japanese Men.
    Fukuma S; Iizuka T; Ikenoue T; Tsugawa Y
    JAMA Intern Med; 2020 Dec; 180(12):1630-1637. PubMed ID: 33031512
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Impact of the national health guidance intervention for obesity and cardiovascular risks on healthcare utilisation and healthcare spending in working-age Japanese cohort: regression discontinuity design.
    Fukuma S; Mukaigawara M; Iizuka T; Tsugawa Y
    BMJ Open; 2022 Jul; 12(7):e056996. PubMed ID: 35906047
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Obesity measures, metabolic health and their association with 15-year all-cause and cardiovascular mortality in the SAMINOR 1 Survey: a population-based cohort study.
    Michalsen VL; Wild SH; Kvaløy K; Svartberg J; Melhus M; Broderstad AR
    BMC Cardiovasc Disord; 2021 Oct; 21(1):510. PubMed ID: 34674643
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effectiveness of a low-intensity telephone counselling intervention on an untreated metabolic syndrome detected by national population screening in Korea: a non-randomised study using regression discontinuity design.
    Yi SW; Shin SA; Lee YJ
    BMJ Open; 2015 Jul; 5(7):e007603. PubMed ID: 26163030
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Three percent weight reduction is the minimum requirement to improve health hazards in obese and overweight people in Japan.
    Muramoto A; Matsushita M; Kato A; Yamamoto N; Koike G; Nakamura M; Numata T; Tamakoshi A; Tsushita K
    Obes Res Clin Pract; 2014; 8(5):e466-75. PubMed ID: 25263836
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prevalence of abdominal obesity and its association with cardiovascular risk among the adult population in Burkina Faso: findings from a nationwide cross-sectional study.
    Cisse K; Samadoulougou S; Ouedraogo M; Kouanda S; Kirakoya-Samadoulougou F
    BMJ Open; 2021 Jul; 11(7):e049496. PubMed ID: 34230021
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Correlates of and Body Composition Measures Associated with Metabolically Healthy Obesity Phenotype in Hispanic/Latino Women and Men: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL).
    Estrella ML; Pirzada A; Durazo-Arvizu RA; Cai J; Giachello AL; Espinoza Gacinto R; Siega-Riz AM; Daviglus ML
    J Obes; 2019; 2019():1251456. PubMed ID: 30775036
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Changes in body weight are significantly associated with changes in fasting plasma glucose and HDL cholesterol in Japanese men without abdominal obesity (waist circumference < 85 cm).
    Oda E; Kawai R
    Acta Diabetol; 2011 Jun; 48(2):143-8. PubMed ID: 21104418
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Differential relationship between waist circumference and mortality according to age, sex, and body mass index in Korean with age of 30-90 years; a nationwide health insurance database study.
    Cho GJ; Yoo HJ; Hwang SY; Choi J; Lee KM; Choi KM; Baik SH; Han SW; Kim T
    BMC Med; 2018 Aug; 16(1):131. PubMed ID: 30092838
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Appropriate waist circumference cutoff values for persons with multiple cardiovascular risk factors in Japan: a large cross-sectional study.
    Narisawa S; Nakamura K; Kato K; Yamada K; Sasaki J; Yamamoto M
    J Epidemiol; 2008; 18(1):37-42. PubMed ID: 18305365
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prevalence of Cardiovascular Risk Factors in Middle-Aged Lithuanian Men Based on Body Mass Index and Waist Circumference Group Results from the 2006-2016 Lithuanian High Cardiovascular Risk Prevention Program.
    Rinkūnienė E; Petrulionytė E; Dženkevičiūtė V; Petrulionienė Ž; Senulytė A; Puronaitė R; Laucevičius A
    Medicina (Kaunas); 2022 Nov; 58(12):. PubMed ID: 36556920
    [No Abstract]   [Full Text] [Related]  

  • 13. Measures of obesity and metabolic syndrome in Indian Americans in northern California.
    Misra KB; Endemann SW; Ayer M
    Ethn Dis; 2006; 16(2):331-7. PubMed ID: 17682232
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evidence of inappropriate cardiovascular risk assessment in middle-age women based on recommended cut-points for waist circumference.
    Florath I; Brandt S; Weck MN; Moss A; Gottmann P; Rothenbacher D; Wabitsch M; Brenner H
    Nutr Metab Cardiovasc Dis; 2014 Oct; 24(10):1112-9. PubMed ID: 24932537
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Effect of Body Weight, Waist Circumference and Their Changes on Mortality: a 10-Year Population-based Study.
    Lee WJ; Peng LN; Loh CH; Chen LK
    J Nutr Health Aging; 2018; 22(8):959-964. PubMed ID: 30272100
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Severity of Changes in Cardiovascular Risk Factors in Adults Over a Five-Year Interval.
    Liput-Sikora A; Cybulska AM; Fabian W; Stanisławska M; Kamińska MS; Grochans E; Jurczak A
    Clin Interv Aging; 2020; 15():1979-1990. PubMed ID: 33116452
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The impact of lifestyle guidance intervention on health outcomes among Japanese middle-aged population with metabolic syndrome: A regression discontinuity study.
    Li Y; Babazono A; Jamal A; Liu N; Fujita T; Zhao R; Maeno Y; Su Y; Liang L; Yao L
    Soc Sci Med; 2022 Dec; 314():115468. PubMed ID: 36327638
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Skeletal muscle mass and abdominal obesity are independent predictors of hepatic steatosis and interact to predict ten-year cardiovascular disease incidence: Data from the ATTICA cohort study.
    Kouvari M; Polyzos SA; Chrysohoou C; Skoumas J; Pitsavos CS; Panagiotakos DB; Mantzoros CS
    Clin Nutr; 2022 Jun; 41(6):1281-1289. PubMed ID: 35504171
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Overall and abdominal obesity and incident aortic valve stenosis: two prospective cohort studies.
    Larsson SC; Wolk A; Håkansson N; Bäck M
    Eur Heart J; 2017 Jul; 38(28):2192-2197. PubMed ID: 28402538
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Obesity, abdominal obesity, and clustering of cardiovascular risk factors in South Korea.
    Park HS; Yun YS; Park JY; Kim YS; Choi JM
    Asia Pac J Clin Nutr; 2003; 12(4):411-8. PubMed ID: 14672864
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.