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 *

185 related articles for article (PubMed ID: 29705530)

  • 61. The Health Education Authority's health and lifestyle survey 1993: who are the low fruit and vegetable consumers?
    Thompson RL; Margetts BM; Speller VM; McVey D
    J Epidemiol Community Health; 1999 May; 53(5):294-9. PubMed ID: 10396536
    [TBL] [Abstract][Full Text] [Related]  

  • 62. Trends in socioeconomic inequalities in behavioural non-communicable disease risk factors: analysis of repeated cross-sectional health surveys in England between 2003 and 2019.
    Ogunlayi F; Coleman PC; Fat LN; Mindell JS; Oyebode O
    BMC Public Health; 2023 Jul; 23(1):1442. PubMed ID: 37501159
    [TBL] [Abstract][Full Text] [Related]  

  • 63. Factors associated with polypharmacy in primary care: a cross-sectional analysis of data from The English Longitudinal Study of Ageing (ELSA).
    Slater N; White S; Venables R; Frisher M
    BMJ Open; 2018 Mar; 8(3):e020270. PubMed ID: 29540422
    [TBL] [Abstract][Full Text] [Related]  

  • 64. Public knowledge and beliefs about dementia risk reduction: a national survey of Australians.
    Smith BJ; Ali S; Quach H
    BMC Public Health; 2014 Jun; 14():661. PubMed ID: 24972448
    [TBL] [Abstract][Full Text] [Related]  

  • 65. Beliefs and attitudes about addressing alcohol consumption in health care: a population survey in England.
    O'Donnell A; Abidi L; Brown J; Karlsson N; Nilsen P; Roback K; Skagerström J; Thomas K
    BMC Public Health; 2018 Mar; 18(1):391. PubMed ID: 29562901
    [TBL] [Abstract][Full Text] [Related]  

  • 66. Meat, vegetable, and fruit consumption among urban and rural elders aged 60+ years in regional China: a population-level nutritional study.
    Zhang G; Kang J; Jing S; Chen Y; Deng T; Xu H; Wu H; Xu F
    J Nutr Sci; 2023; 12():e120. PubMed ID: 38155810
    [TBL] [Abstract][Full Text] [Related]  

  • 67. Fatalistic beliefs about cancer prevention and three prevention behaviors.
    Niederdeppe J; Levy AG
    Cancer Epidemiol Biomarkers Prev; 2007 May; 16(5):998-1003. PubMed ID: 17507628
    [TBL] [Abstract][Full Text] [Related]  

  • 68. Exploring perceptions and beliefs about the cost of fruit and vegetables and whether they are barriers to higher consumption.
    Chapman K; Goldsbury D; Watson W; Havill M; Wellard L; Hughes C; Bauman A; Allman-Farinelli M
    Appetite; 2017 Jun; 113():310-319. PubMed ID: 28263775
    [TBL] [Abstract][Full Text] [Related]  

  • 69. Prevalence of loneliness and associations with health behaviours and body mass index in 5835 people living with and beyond cancer: a cross-sectional study.
    Smith S; Lally P; Steptoe A; Chavez-Ugalde Y; Beeken RJ; Fisher A
    BMC Public Health; 2024 Feb; 24(1):635. PubMed ID: 38419011
    [TBL] [Abstract][Full Text] [Related]  

  • 70. Fruit and vegetable intake and the risk of colorectal cancer: results from the Shanghai Men's Health Study.
    Vogtmann E; Xiang YB; Li HL; Levitan EB; Yang G; Waterbor JW; Gao J; Cai H; Xie L; Wu QJ; Zhang B; Gao YT; Zheng W; Shu XO
    Cancer Causes Control; 2013 Nov; 24(11):1935-45. PubMed ID: 23913012
    [TBL] [Abstract][Full Text] [Related]  

  • 71. Low fruit and vegetable consumption in Mozambique: results from a WHO STEPwise approach to chronic disease risk factor surveillance.
    Padrão P; Laszczyńska O; Silva-Matos C; Damasceno A; Lunet N
    Br J Nutr; 2012 Feb; 107(3):428-35. PubMed ID: 21762541
    [TBL] [Abstract][Full Text] [Related]  

  • 72. Food nutrition label use is associated with demographic, behavioral, and psychosocial factors and dietary intake among African Americans in North Carolina.
    Satia JA; Galanko JA; Neuhouser ML
    J Am Diet Assoc; 2005 Mar; 105(3):392-402; discussion 402-3. PubMed ID: 15746826
    [TBL] [Abstract][Full Text] [Related]  

  • 73. Awareness and outcomes of the fruits and veggies (FNV) campaign to promote fruit and vegetable consumption among targeted audiences in California and Virginia: a cross-sectional study.
    Englund TR; Hedrick VE; Patiño SR; Kennedy LE; Hosig KW; Serrano EL; Kraak VI
    BMC Public Health; 2021 Jun; 21(1):1100. PubMed ID: 34107896
    [TBL] [Abstract][Full Text] [Related]  

  • 74. Cancer-related Beliefs and Preventive Health Practices among Residents of Rural versus Urban Counties in Alabama.
    Aly S; Daniel CL; Bae S; Scarinci IC; Hardy CM; Fouad MN; Baskin ML; Hoenemeyer T; Acemgil A; Demark-Wahnefried W
    Cancer Prev Res (Phila); 2021 May; 14(5):593-602. PubMed ID: 33526429
    [TBL] [Abstract][Full Text] [Related]  

  • 75. Violence against people with disability in England and Wales: findings from a national cross-sectional survey.
    Khalifeh H; Howard LM; Osborn D; Moran P; Johnson S
    PLoS One; 2013; 8(2):e55952. PubMed ID: 23437079
    [TBL] [Abstract][Full Text] [Related]  

  • 76. Association of the COVID-19 lockdown with smoking, drinking and attempts to quit in England: an analysis of 2019-20 data.
    Jackson SE; Garnett C; Shahab L; Oldham M; Brown J
    Addiction; 2021 May; 116(5):1233-1244. PubMed ID: 33089562
    [TBL] [Abstract][Full Text] [Related]  

  • 77. Relationship Between Individual Health Beliefs and Fruit and Vegetable Intake and Physical Activity Among Cancer Survivors: Results from the Health Information National Trends Survey.
    Skiba MB; Jacobs ET; Crane TE; Kopp LM; Thomson CA
    J Adolesc Young Adult Oncol; 2022 Jun; 11(3):259-267. PubMed ID: 34357819
    [No Abstract]   [Full Text] [Related]  

  • 78. Residential area deprivation predicts fruit and vegetable consumption independently of individual educational level and occupational social class: a cross sectional population study in the Norfolk cohort of the European Prospective Investigation into Cancer (EPIC-Norfolk).
    Shohaimi S; Welch A; Bingham S; Luben R; Day N; Wareham N; Khaw KT
    J Epidemiol Community Health; 2004 Aug; 58(8):686-91. PubMed ID: 15252072
    [TBL] [Abstract][Full Text] [Related]  

  • 79. A Widening Gap? Changes in Multiple Lifestyle Risk Behaviours by Socioeconomic Status in New South Wales, Australia, 2002-2012.
    Ding D; Do A; Schmidt HM; Bauman AE
    PLoS One; 2015; 10(8):e0135338. PubMed ID: 26291457
    [TBL] [Abstract][Full Text] [Related]  

  • 80. Beliefs about FDA tobacco regulation, modifiability of cancer risk, and tobacco product comparative harm perceptions: Findings from the HINTS-FDA 2015.
    Nguyen AB; Henrie J; Slavit WI; Kaufman AR
    Prev Med; 2018 May; 110():1-8. PubMed ID: 29373819
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.