BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

212 related articles for article (PubMed ID: 27461119)

  • 1. Factors associated with overweight: are the conclusions influenced by choice of the regression method?
    Juvanhol LL; Lana RM; Cabrelli R; Bastos LS; Nobre AA; Rotenberg L; Griep RH
    BMC Public Health; 2016 Jul; 16():642. PubMed ID: 27461119
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Years worked at night and body mass index among registered nurses from eighteen public hospitals in Rio de Janeiro, Brazil.
    Griep RH; Bastos LS; Fonseca Mde J; Silva-Costa A; Portela LF; Toivanen S; Rotenberg L
    BMC Health Serv Res; 2014 Nov; 14():603. PubMed ID: 25432798
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Breastfeeding and childhood obesity: shift of the entire BMI distribution or only the upper parts?
    Beyerlein A; Toschke AM; von Kries R
    Obesity (Silver Spring); 2008 Dec; 16(12):2730-3. PubMed ID: 18846050
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?
    Fonseca MJMD; Juvanhol LL; Rotenberg L; Nobre AA; Griep RH; Alves MGM; Cardoso LO; Giatti L; Nunes MA; Aquino EML; Chor D
    Int J Environ Res Public Health; 2017 Nov; 14(11):. PubMed ID: 29149021
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Alternative regression models to assess increase in childhood BMI.
    Beyerlein A; Fahrmeir L; Mansmann U; Toschke AM
    BMC Med Res Methodol; 2008 Sep; 8():59. PubMed ID: 18778466
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Childhood overweight in the United States: a quantile regression approach.
    Stifel DC; Averett SL
    Econ Hum Biol; 2009 Dec; 7(3):387-97. PubMed ID: 19560988
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Factors associated with overweight and central body fat in the city of Rio de Janeiro: results of a two-stage random sampling survey.
    Ramos de Marins VM; Varnier Almeida RM; Pereira RA; Barros MB
    Public Health; 2001 May; 115(3):236-42. PubMed ID: 11429722
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Use of quantile regression to investigate changes in the body mass index distribution of Chinese adults aged 18-60 years: a longitudinal study.
    Ouyang Y; Wang H; Su C; Wang Z; Song Y; Xiao Y; Du W; Zhang B
    BMC Public Health; 2015 Mar; 15():278. PubMed ID: 25885045
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Risk factors for childhood overweight: shift of the mean body mass index and shift of the upper percentiles: results from a cross-sectional study.
    Beyerlein A; Toschke AM; von Kries R
    Int J Obes (Lond); 2010 Apr; 34(4):642-8. PubMed ID: 20084072
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Simple obesity in children. A study on the role of nutritional factors].
    Weker H
    Med Wieku Rozwoj; 2006; 10(1):3-191. PubMed ID: 16733288
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Examining the association between body trust and body mass index with quantile regression.
    Duffy ME; Rogers ML; Kennedy GA; Keel PK; Joiner TE
    Eat Weight Disord; 2020 Dec; 25(6):1813-1819. PubMed ID: 31701379
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Different associations of sufficient and vigorous physical activity with BMI in Northwest China.
    Liu F; Wang W; Ma J; Sa R; Zhuang G
    Sci Rep; 2018 Sep; 8(1):13120. PubMed ID: 30177717
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Associations between night work and BMI, alcohol, smoking, caffeine and exercise--a cross-sectional study.
    Buchvold HV; Pallesen S; Øyane NM; Bjorvatn B
    BMC Public Health; 2015 Nov; 15():1112. PubMed ID: 26558686
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimation of effects of factors related to preschooler body mass index using quantile regression model.
    Kim HS; Park YH; Park HB; Kim SH
    Asian Nurs Res (Korean Soc Nurs Sci); 2014 Dec; 8(4):293-9. PubMed ID: 25529913
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Quantile regression analyses of associated factors for body mass index in Korean adolescents.
    Kim TH; Lee EK; Han E
    Public Health; 2015 May; 129(5):424-35. PubMed ID: 25753281
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Better Dietary Knowledge and Socioeconomic Status (SES), Better Body Mass Index? Evidence from China-An Unconditional Quantile Regression Approach.
    Yu J; Han X; Wen H; Ren J; Qi L
    Nutrients; 2020 Apr; 12(4):. PubMed ID: 32344738
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Incremental impact of body mass status with modifiable unhealthy lifestyle behaviors on pharmaceutical expenditure.
    Kim TH; Lee EK; Han E
    Res Social Adm Pharm; 2016; 12(6):990-1003. PubMed ID: 26810936
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Composite marginal quantile regression analysis for longitudinal adolescent body mass index data.
    Yang CC; Chen YH; Chang HY
    Stat Med; 2017 Sep; 36(21):3380-3397. PubMed ID: 28574584
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Overweight and risk of overweight in schoolchildren in the city of Rio de Janeiro, Brazil: prevalence and characteristics.
    de Marins VM; Almeida RM; Pereira RA; Barros MB
    Ann Trop Paediatr; 2002 Jun; 22(2):137-44. PubMed ID: 12070949
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A quantile regression approach to re-investigate the relationship between sleep duration and body mass index in Taiwan.
    Chen CM; Chang CK; Yeh CY
    Int J Public Health; 2012 Jun; 57(3):485-93. PubMed ID: 21327855
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.