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Health Information National Trends Survey
Part of NCI's Division of Cancer Control and Population Sciences

Published Articles Using HINTS Data

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2016

Oh A, Nguyen AB, Patrick H  2016  Correlates of Reported Use and Perceived Helpfulness of Calorie Information in Restaurants Among U.S. Adults  American Journal of Health Promotion   2015 Jul 9. [Epub ahead of print]

2015

Colón-Ramos U, Finney Rutten LJ, Moser R, Colón-Lopez V, Ortiz A, Yaroch AL.  2015  The association between fruit and vegetable intake, knowledge of the recommendations, and health information seeking within adults in the U.S. mainland and in Puerto Rico.  Journal of Health Communication   20(1):105-11

Cutrona SL, Mazor KM, Vieux SN, Luger TM, Volkman JE, Finney Rutten LJ.  2015  Health information-seeking on behalf of others: characteristics of "surrogate seekers".  Journal of Cancer Education   30(1):12-9

Ellis EM, Orom H, Giovino GA, Kiviniemi MT  2015  Relations Between Negative Affect and Health Behaviors by Race/Ethnicity: Differential Effects for Symptoms of Depression and Anxiety.  Health Psychology   [Epub ahead of print]

Emanuel AS, Kiviniemi MT, Howell JL, Hay JL, Waters EA, Orom H, Shepperd JA  2015  Avoiding cancer risk information  Social Science & Medicine   147:113-120.

Kim BH, Wallington SF, Makambi KH, Adams-Campbell LL  2015  Social networks and physical activity behaviors among cancer survivors: data from the 2005 health information national trends survey.  Journal of Health Communication   20(6):656-62. doi: 10.1080/10810730.2015.1018576.

Valle C, Tate D, Mayer D, Allicock M, Cai J, Campbell MK.  2015  Physical activity in young adults: a signal detection analysis of Health Information National Trends Survey (HINTS) 2007 data.  Journal of Health Communication   20(2):134-46

2014

Evans KR, Hudson SV.  2014  Engaging the community to improve nutrition and physical activity among houses of worship.  Preventing Chronic Disease   11:E38

Kannan VD, Veazie PJ.  2014  Predictors of avoiding medical care and reasons for avoidance behavior.  Medical Care   52(4):336-45

Madadi M, Zhang S, Yeary KH, Henderson LM.  2014  Analyzing factors associated with women's attitudes and behaviors toward screening mammography using design-based logistic regression.  Breast Cancer Research and Treatment   144(1):193-204

Moten A, Jeffers K, Larbi D, Smith-White R, Taylor T, Wilson L, Adenuga B, Frederick W, Laiyemo A.  2014  Obesity and Weight Loss Attempts among Subjects with a Personal History of Cancer.  Sultan Qaboos University Medical Journal   14(3):e330-6

Nguyen AB, Oh A, Moser RP, Patrick H  2014  Perceptions of the roles of behaviour and genetics in disease risk: are they associated with behaviour change attempts.  Health Psychology   30(3):336-53

Squiers L, Renaud J, McCormack L, Tzeng J, Bann C, Williams P.  2014  How Accurate Are Americans’ Perceptions of Their Own Weight?  Journal of Health Communication   19(7):795-812

Tian Y, Robinson JD.  2014  Media complementarity and health information seeking in Puerto Rico.  Journal of Health Communication   19(6):710-20

2013

Chan YM, Huang H.  2013  Weight Management Information Overload Challenges in 2007 HINTS: Socioeconomic, Health Status and Behaviors Correlates.  Journal of Consumer Health on the Internet   17(2)

McCully SN, Don BP, Updegraff JA.  2013  Using the internet to help with diet, weight, and physical activity: Results from the health information national trends survey (HINTS).  Journal of Medical Internet Research   15(8):e148. doi: 10.2196/jmir.2612

Ramírez A S, Rutten LJF, Vanderpool RC, Moser RP, Hesse BW.  2013  Correlates and geographic patterns of knowledge that physical activity decreases cancer risk.  The Journal of Primary Prevention   34(1-2):31-9

Ramírez AS, Rutten LJF, Oh A, Vengoechea BL, Moser RP, Vanderpool RC, Hesse BW.  2013  Perceptions of cancer controllability and cancer risk knowledge: The moderating role of race, ethnicity, and acculturation.  Journal of Cancer Education   28(2):254-61

Shuval K, Gabriel KP, Leonard T.  2013  TV viewing and BMI by Race/Ethnicity and socio-economic status.  PLOS ONE   8(5):e63579

2012

Ashok M, Berkowitz Z, Hawkins NA, Tangka F, Saraiya M.  2012  Recency of pap testing and future testing plans among women aged 18-64: Analysis of the 2007 Health Information National Trends Survey.  Journal of Women's Health   21(7):705-12

Kim YS, Park YS, Allegrante JP, Marks R, Ok H, Ok Cho K, Garber CE.  2012  Relationship between physical activity and general mental health.  Preventive Medicine   55(5):458-63

2011

Cotten SR, Goldner M, Hale TM, Drentea P.  2011  The importance of type, amount, and timing of internet use for understanding psychological distress.  Social Science Quarterly   92(1):119-39

Erinosho TO, Thompson OM, Moser RP, Yaroch AL.  2011  Fruit and vegetable intake of US adults: comparing intake by mode of survey administration.  Journal of the American Dietetic Association   111(3):408-13

Ha S, Lee YJ.  2011  Determinants of consumer-driven healthcare: Self-confidence in information search, health literacy, and trust in information sources.  International Journal of Pharmaceutical and Healthcare Marketing   5(1):8-24

Ho MY, Lai JY, Cheung WY.  2011  The influence of physicians on colorectal cancer screening behavior.  Cancer Causes & Control   22(12):1659-68

Ortiz AP, López M, Flores LT, Soto-Salgado M, Finney Rutten LJ, Serrano-Rodriguez RA., Hesse BW, Tortolero-Luna G.  2011  Awareness of direct-to-consumer genetic tests and use of genetic tests among Puerto Rican adults, 2009.  Preventing Chronic Disease   8(5):A110

Thompson OM, Yaroch AL, Moser RP, Finney Rutten LJ, Petrelli JM, Smith-Warner SA, Masse LC, Nebeling L.  2011  Knowledge of and adherence to fruit and vegetable recommendations and intakes: Results of the 2003 health information national trends survey.  Journal of Health Communication   16(3):328-40

2010

Fang CY, Coups EJ, Heckman CJ.  2010  Behavioral correlates of HPV vaccine acceptability in the 2007 Health Information National Trends Survey (HINTS).  Cancer Epidemiology, Biomarkers & Prevention   19(2):319-26

Hawkins NA, Berkowitz Z, Peipins LA.  2010  What does the public know about preventing cancer? Results from the Health Information National TrendsSurvey (HINTS).  Health Education and Behavior   37(4):490-503

Oh A, Shaikh A, Waters E, Atienza A, Moser RP, Perna F.  2010  Health disparities in awareness of physical activity and cancer prevention: findings from the National Cancer Institute's 2007 Health Information National Trends Survey (HINTS).  Journal of Health Communication   15 Suppl 3:60-77

Peytchev A, Ridenhour J, Krotki K.  2010  Differences between RDD telephone and ABS mail survey design: coverage, unit nonresponse, and measurement error.  Journal of Health Communication   15 Suppl 3:117-34

Wang C, Coups EJ.  2010  Causal beliefs about obesity and associated health behaviors: Results from a population-based survey.  International Journal of Behavioral Nutrition and Physical Activity   7:19-25

2009

Bennett GG, Wolin KY, Puleo EM, Mâsse LC, Atienza AA.  2009  Awareness of national physical activity recommendations for health promotion among US adults.  Medicine & Science in Sports & Exercise   41(10):1849-55

Kaphingst KA, Lachance CR, Condit CM.  2009  Beliefs about heritability of cancer and health information seeking and preventive behaviors.  Journal of Cancer Education   24(4):351-6

Tian Y, Robinson JD.  2009  Incidental health information use on the Internet.  Health Communication   24(1):41-49

2008

Coups EJ, Hay J, & Ford JS.  2008  Awareness of the role of physical activity in colon cancer prevention.  Patient Education and Counseling   72(2): 246-51

Finney Rutten LJ, Lazarus Yaroch A, Colón-Ramos U, Uriyoán AA.  2008  Awareness, use, and perceptions of low-carbohydrate diets.  Preventing Chronic Disease   5(4):A130

McQueen A, Vernon SW, Meissner HI, Rakowski W.  2008  Risk perceptions and worry about cancer: does gender make a difference?  Journal of Health Communication   13(1):56-79

Sullivan HW, Beckjord EB, Finney-Rutten LP, Hesse BW.  2008  Nutrition-related cancer prevention cognitions and behavioral intentions: testing the risk perception attitude framework.  Health Education and Behavior   35(6):866-79

Wilson EV, Dobrzykowski DD, Cazier JA.  2008  The Influence of Media Trust and Internet Trust on Privacy-Risking Uses of E-Health.  International Journal of Information Security and Privacy   2(3): 84-97

2007

Mayer DK, Terrin NC, Menon U, Kreps GL, McCance K, Parsons SK, Mooney KH.  2007  Health behaviors in cancer survivors.  Oncology Nursing Forum   34(3):643-51

Niederdeppe J, Levy AG.  2007  Fatalistic beliefs about cancer prevention and three prevention behaviors.  Cancer Epidemiology, Biomarkers & Prevention   16(5):998-1003

2006

Atienza AA, Yaroch AL, Masse LC, Moser RP, Hesse BW, King AC.  2006  Identifying sedentary subgroups: the National Cancer Institute's Health Information National Trends Survey.  American Journal of Preventive Medicine   31(5):383-90

Ford JS, Coups EJ, Hay JL.  2006  Knowledge of colon cancer screening in a national probability sample in the United States.  Journal of Health Communication   11 Suppl 1:19-35

Hay J, Coups E, Ford J.  2006  Predictors of perceived risk for colon cancer in a national probability sample in the United States.  Journal of Health Communication   11 Suppl 1:71-92

McQueen A, Vernon SW, Meissner HI, Klabunde CN, Rakowski W.  2006  Are there gender differences in colorectal cancer test use prevalence and correlates?  Cancer Epidemiology, Biomarkers & Prevention   15(4):782-91

Ramanadhan S, Viswanath K.  2006  Health and the information nonseeker: a profile.  Health Communication   20(2):131-9

Shim M, Kelly B, Hornik R.  2006  Cancer information scanning and seeking behavior is associated with knowledge, lifestyle choices, and screening.  Journal of Health Communication   11 Suppl 1:157-72

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HINTS Data Terms of Use

It is of utmost importance to ensure the confidentiality of survey participants. Every effort has been made to exclude identifying information on individual respondents from the computer files. Some demographic information such as sex, race, etc., has been included for research purposes. NCI expects that users of the data set will adhere to the strictest standards of ethical conduct for the analysis and reporting of nationally collected survey data. It is mandatory that all research results be presented/published in a manner that protects the integrity of the data and ensures the confidentiality of participants.

In order for the Health Information National Trends Survey (HINTS) to provide a public-use or another version of data to you, it is necessary that you agree to the following provisions.

  1. You will not present/publish data in which an individual can be identified. Publication of small cell sizes should be avoided.
  2. You will not attempt to link nor permit others to link the data with individually identified records in another database.
  3. You will not attempt to learn the identity of any person whose data are contained in the supplied file(s).
  4. If the identity of any person is discovered inadvertently, then the following should be done;
    1. no use will be made of this knowledge,
    2. the HINTS Program staff will be notified of the incident,
    3. no one else will be informed of the discovered identity.
  5. You will not release nor permit others to release the data in full or in part to any person except with the written approval of the HINTS Program staff.
  6. If accessing the data from a centralized location on a time sharing computer system or LAN, you will not share your logon name and password with any other individuals. You will also not allow any other individuals to use your computer account after you have logged on with your logon name and password.
  7. For all software provided by the HINTS Program, you will not copy, distribute, reverse engineer, profit from its sale or use, or incorporate it in any other software system.
  8. The source of information should be cited in all publications. The appropriate citation is associated with the data file used. Please see Suggested Citations in the Download HINTS Data section of this Web site, or the Readme.txt associated with the ASCII text version of the HINTS data.
  9. Analyses of large HINTS domains usually produce reliable estimates, but analyses of small domains may yield unreliable estimates, as indicated by their large variances. The analyst should pay particular attention to the standard error and coefficient of variation (relative standard error) for estimates of means, proportions, and totals, and the analyst should report these when writing up results. It is important that the analyst realizes that small sample sizes for particular analyses will tend to result in unstable estimates.
  10. You may receive periodic e-mail updates from the HINTS administrators.