Multiple health behavior clusters among female college students

Patient Education and Counseling

Volumn 79, Issue 1, 2010, Pages 134-137

  Quintiliani, Lisa ^a,b   Allen, Jennifer ^a,b,c   Marino, Miguel ^b   Kelly Weeder, Susan ^c   Li, Yi ^b  

^a DANA FARBER CANCER INSTITUTE   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c BOSTON COLLEGE   (United States)

Author keywords

Cluster analysis; College students; Female; Multiple behaviors

Indexed keywords

ADULT; ARTICLE; CLUSTER ANALYSIS; COLLEGE STUDENT; CONTROLLED STUDY; DRINKING BEHAVIOR; FEEDING BEHAVIOR; FEMALE; HEALTH BEHAVIOR; HEALTH PROGRAM; HEALTH SERVICE; HEALTH STATUS; HIGH RISK BEHAVIOR; HUMAN; ONLINE ANALYSIS; PAPANICOLAOU TEST; PHYSICAL ACTIVITY; PRIORITY JOURNAL; RISK ASSESSMENT; SMOKING HABIT; STUDENT ATTITUDE; UNITED STATES; UNSAFE SEX; URBAN AREA; WOMEN'S HEALTH;

ADOLESCENT; CLUSTER ANALYSIS; CROSS-SECTIONAL STUDIES; DATA COLLECTION; FEMALE; HEALTH BEHAVIOR; HEALTH PROMOTION; HUMANS; PREVALENCE; RISK FACTORS; RISK-TAKING; RURAL POPULATION; STUDENTS; UNITED STATES; UNIVERSITIES; URBAN POPULATION; YOUNG ADULT;

EID: 77649273996     PISSN: 07383991     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pec.2009.08.007     Document Type: Article

References (26)

1. Pronk N., Anderson L., Crain L., Martinson B.C., O'Connor P.J., Sherwood N.E., and Whitebird R.R. Meeting recommendations for multiple healthy lifestyle factors: Prevalence, clustering, and predictors among adolescent, adult, and senior health plan members. Am J Prev Med 27 (2004) 25-33
2. Driskell M., Dyment S., Mauriello L., Castle P., and Sherman K. Relationships among multiple behaviors for childhood and adolescent obesity prevention. Prev Med 46 (2008) 209-215
3. Sanchez A., Norman G.J., Sallis J.F., Calfas K.J., Cella J., and Patrick K. Patterns and correlates of physical activity and nutrition behaviors in adolescents. Am J Prev Med 32 (2007) 124-130
4. Arnett J.J. Emerging adulthood: a theory of development from the late teens through the twenties. Am Psychol 55 (2000) 469-480
5. O'Malley P.M. Maturing out of problematic alcohol use. Alcohol Res Health 28 (2004-2005) 202-204
6. Gordon-Larsen P., Nelson M.C., and Popkin B.M. Longitudinal physical activity and sedentary behavior trends: adolescence to adulthood. Am J Prev Med 27 (2004) 277-283
7. Zahran H.S., Zack M.M., Vernon-Smiley M.E., and Hertz M.F. Health-related quality of life and behaviors risky to health among adults aged 18-24 years in secondary or higher education-United States, 2003-2005. J Adolesc Health 41 (2007) 389-397
8. Rifas-Shiman S.L., Willett W.C., Lobb R., Kotch J., Dart C., and Gillman M.W. PrimeScreen, a brief dietary screening tool: reproducibility and comparability with both a longer food frequency questionnaire and biomarkers. Public Health Nutr 4 (2001) 249-254
9. Behavioral risk factor surveillance system questionnaire [Internet]. Atlanta, GA: Centers of Disease Control and Prevention; 2005 [cited November 20, 2008]. Available from: http://www.cdc.gov/brfss/questionnaires/pdf-ques/2005brfss.pdf.
10. State and Local Youth Risk Behavior Survey [Internet]. Atlanta, GA: Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion; 2007 [cited October 10, 2007]. Available from: http://www.cdc.gov/HealthyYouth/yrbs/.
11. Healthy People 2010: Understanding and improving health and objectives for health [Internet]. 2nd edition. Washington, DC: Department of Health and Human Services (US), Office of Disease Prevention and Health Promotion; 2000 [cited November 20, 2008]. Available from: http://www.healthypeople.gov/.
12. Thompson M.E. The science and art of market segmentation using PROC FASTCLUS. Pacific northwest SAS user's group 1998 conference (1998)
13. Sarle WS. The cubic clustering criterion. Cary, NC: SAS Institute; 1983 [SAS Technical Report A-108].
14. Lattin J.M., Carroll J.D., and Green P.E. Analyzing multivariate data (2003), Thomson Brooks/Cole, Pacific Grove, CA
15. Adams T.B., and Colner W. The association of multiple risk factors with fruit and vegetable intake among a nationwide sample of college students. J Am Coll Health 56 (2008) 455-461
16. Seo D.C., Nehl E., Agley J., and Ma S.M. Relations between physical activity and behavioral and perceptual correlates among Midwestern college students. J Am Coll Health 56 (2007) 187-197
17. Weitzman E.R., and Chen Y. The co-occurrence of smoking and drinking among adults in colleges: national survey results from the United States. Drug Alcohol Depend 80 (2005) 377-386
18. Keller S., Maddock J.E., Hannoever W., Thyrian J.R., and Basler H.D. Multiple health risk behaviors in German first year university students. Prev Med 46 (2008) 189-195
19. Sabbe D., De Bourdeaudhuij I., Legiest E., and Maes L. A cluster-analytical approach towards physical activity and eating habits among 10-year-old children. Health Educ Res 23 (2008) 753-762
20. Freedson P.S., and Miller K. Objective monitoring of physical activity using motion sensors and heart rate. Res Q Exerc Sport 71 (2000) 21-29
21. Fowler Jr. H.J. Design and evaluation of survey questions. In: Bickman L., and Rog D.J. (Eds). Handbook of applied social research methods (1998), Sage Publications, Thousand Oaks, CA 343-374
22. Babor T.F., Sciamanna C.N., and Pronk N.P. Assessing multiple risk behaviors in primary care: screening issues and related concepts. Am J Prev Med 27 (2004) 42-53
23. Screening for Cervical Cancer, Recommendations and Rationale [Internet]. Rockville, MD: Agency for Healthcare Research and Quality (US), U.S. Preventive Services Task Force [cited June 3, 2009]. Available from: http://www.ahrq.gov/clinic/3rduspstf/cervcan/cervcanrr.pdf.
24. IARC Handbooks of Cancer Prevention, vol. 10, Cervix Cancer Screening. Lyon, France: International Agency for Research on Cancer; 2005.
25. Werch C.E., Bian H., Moore M.J., Ames S., DiClemente C.C., and Weiler R.M. Brief multiple behavior interventions in a college student health care clinic. J Adolesc Health 41 (2007) 577-585
26. Bennett G.G., and Glasgow R.E. The delivery of public health interventions via the Internet: actualizing their potential. Annu Rev Public Health 30 (2009) 273-292