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Open Access 01-12-2016 | Research article

Screening and vaccination as determined by the Social Ecological Model and the Theory of Triadic Influence: a systematic review

Authors: Anayawa Nyambe, Guido Van Hal, Jarl K. Kampen

Published in: BMC Public Health | Issue 1/2016

Abstract

Background

Vaccination and screening are forms of primary and secondary prevention methods. These methods are recommended for controlling the spread of a vast number of diseases and conditions. To determine the most effective preventive methods to be used by a society, multi-level models have shown to be more effective than models that focus solely on individual level characteristics. The Social Ecological Model (SEM) and the Theory of Triadic Influence (TTI) are such models. The purpose of this systematic review was to identify main differences and similarities of SEM and TTI regarding screening and vaccination in order to prepare potentially successful prevention programs for practice.

Methods

A systematic review was conducted. Separate literature searches were performed during January and February 2015 using Medline, Ovid, Proquest, PubMed, University of Antwerp Discovery Service and Web of Science, for articles that apply the SEM and TTI.

A Data Extraction Form with mostly closed-end questions was developed to assist with data extraction. Aggregate descriptive statistics were utilized to summarize the general characteristics of the SEM and TTI as documented in the scientific literature.

Results

A total of 290 potentially relevant articles referencing the SEM were found. As for the TTI, a total of 131 potentially relevant articles were found. After strict evaluation for inclusion and exclusion criteria, 40 SEM studies and 46 TTI studies were included in the systematic review.

Conclusions

The SEM and TTI are theoretical frameworks that share many theoretical concepts and are relevant for several types of health behaviors. However, they differ in the structure of the model, and in how the variables are thought to interact with each other, the TTI being a matrix while the SEM has a ring structure. The main difference consists of the division of the TTI into levels of causation (ultimate, distal and proximal) which are not considered within the levels of the SEM. It was further found that in the articles studied in this systematic review, both models are often considered effective, while the empirical basis of these (and other) conclusions reached by their authors is in many cases unclear or incompletely specified.

Available only for authorised users

National Public Health Partnership, NPHP. The language of prevention. Melbourne: NPHP; 2006. http://www.health.vic.gov.au/archive/archive2014/nphp/publications/language_of_prevention.pdf. Accessed 4 Sept 2015.

Wilson JMG, Jungner G. Principles and Practice of Screening for Disease, Public Health Papers No. 34. Geneva: World Health Organization; 1968. http://apps.who.int/iris/bitstream/10665/37650/17/WHO_PHP_34.pdf. Accessed 4 Sept 2015.

Elder JP, Lytle L, Sallis JF, Young DR, Steckler A, Simons-Morton D, et al. A description of the social-ecological framework used in the trial of activity for adolescent girls (TAAG). Health Educ Res. 2007;22(2):155–65.CrossRefPubMed

National Cancer Institute, NCI. Theory at a Glance: A guide for health promotion and practice. 2nd ed. 2005. NIH Publication No. 05–3896.

McLeroy KR, Bibeau D, Steckler A, Glanz K. Ecological Perspective on Health Promotion Programs. Health Educ Q. 1998;15(4):351–77.CrossRef

Glanz K, Rimer BK, Viswanath K, editors. Health Behavior and Health Education: Theory, Research and Practice, (4th ed). San Francisco, CA: Jossey-Bass; 2008.

Flay BR, Snyder F, Petraitis J. Chapter 16, The Theory of Triadic Influence. In: DiClemente RJ, Kegler MC, Crosby RA, editors. Emerging Theories in Health Promotion Practice and Research. 2nd ed. New York: Jossey-Bass; 2009. p. 451–510.

Crosby RA, DiClemente RJ, Salaza LF. Health Behavior Theory for Public Health: Principles, foundations and applications, Chapter 11, Ecological Approaches in the New Public Health, Jones and Bartlett Learning, LLC. 2011. p. 231–51.

Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. The Cochrane Collaboration. 2011. www.handbook.cochrane.org. Accessed 15 Jun 2015.

10.

Kampen JK, Tamás P. Should I take this seriously? A simple checklist for calling bullshit on policy supporting research. Qual Quant. 2014;48(3):1213–23.CrossRef

11.

Maar M, Wakewich P, Wood B, Severini A, Little J, Burchell AN, et al. Strategies for increasing cervical cancer screening amongst first nations communities in Northwest Ontario, Canada. Health Care Women Int. 2014; 1–18. http://doi.org/10.1080/07399332.2014.959168.

12.

Kumar S, Quinn SC, Kim KH, Musa D, Hilyard KM, Freimuth VS. The Social Ecological Model as a Framework for Determinants of 2009 H1N1 Influenza Vaccine Uptake in the United States. Health Educ Behav. 2012;39(2):229–43. http://doi.org/10.1177/1090198111415105.CrossRefPubMed

13.

Boerner F, Keelan J, Winton L, Jardine C, Driedger SM. Understanding the interplay of factors informing vaccination behavior in three Canadian provinces. Hum Vaccin Immunother. 2013;9(7):1477–84. http://doi.org/10.4161/hv.24427.CrossRefPubMed

14.

Kremers SP, Mesters I, Pladdet IE, van den Borne B, Stockbrügger RW. Participation in a sigmoidoscopic colorectal cancer screening program: a pilot study. Cancer Epidemiol Biomarkers Prev. 2000;9(10):1127–30.PubMed

15.

Leonard NR, Banfield A, Riedel M, Ritchie AS, Mildvan D, Arredondo G, et al. Description of an efficacious behavioral peer-driven intervention to reduce racial/ethnic disparities in AIDS clinical trials. Health Educ Res. 2013;28(4):574–90. http://doi.org/10.1093/her/cyt052.CrossRefPubMedPubMedCentral

16.

Bell CC, Bhana A, McKay MM, Petersen IA. Commentary on the Triadic Theory of Influence as a Guide for Adapting HIV Prevention Programs for New Contexts and Populations: The CHAMP-South Africa Story. Soc Work Ment Health. 2007;5(3–4):243–67. http://doi.org/10.1300/J200v05n03_01.CrossRef

17.

Nicolaou M, Doak CM, van Dam RM, Brug J, Stronks K, Seidell JC. Cultural and Social Influences on Food Consumption in Dutch Residents of Turkish and Moroccan Origin: A Qualitative Study. J Nutr Educ Behav. 2009;41(4):232–41. http://doi.org/10.1016/j.jneb.2008.05.011.CrossRefPubMed

18.

Dusseldorp E, Klein Veldermam M, Paulussen TWGM, Junger M, van Nieuwenhuijzen M, Reijneveld SA. Targets for primary prevention: Cultural, social and intrapersonal factors associated with co-occurring health-related behaviors. Psychol Health. 2014;29(5):598–611. http://doi.org/10.1080/08870446.2013.879137.CrossRefPubMed

19.

Donath C, Grässel E, Baier D, Pfeiffer C, Bleich S, Hillemacher T. Predictors of binge drinking in adolescents: ultimate and distal factors - a representative study. BMC Public Health. 2012;12:263.CrossRefPubMedPubMedCentral

20.

Kaslow NJ, Leiner AS, Reviere S, Jackson E, Bethea K, Bhaju J, et al. Suicidal, abused African American women’s response to a culturally informed intervention. J Consult Clin Psychol. 2010;78(4):449–58. http://doi.org/10.1037/a0019692.CrossRefPubMed

21.

Petraitis J, Flay BR, Miller TQ, Torpy EJ, Greiner B. Illicit substance use among adolescents: a matrix of prospective predictors. Subst Use Misuse. 1998;33(13):2561–604.CrossRefPubMed

22.

Centers for Disease Control and Prevention, CDC. Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Social Ecological Model. 2013. http://www.cdc.gov/cancer/nbccedp/sem.htm. http://www.cdc.gov/cancer/crccp/sem.htm. Accessed 27 Mar 2015.

23.

Eastern Nursing Research Society ENRS. Eastern Nursing Research Society 27th Annual Scientific Sessions Abstracts. Nurs Res. 2015;64(2):E1–E137.CrossRef

24.

Hayman LL, Kamau MW, Stuart-Shor EM. The heart of the matter: Reducing CVD risk. Nurse Pract. 2009;34(5):30–5.CrossRefPubMed

25.

Kazak AE, Barakat LP, Ditaranto S, Biros D, Hwang WT, Beele D, Kersun L, Alderfer MA, Mougianis I, Hocking MC, Reilly A. Screening for Psychosocial Risk at Pediatric Cancer Diagnosis: The Psychosocial Assessment Tool. J Pediatr Hematol Oncol. 2011;33(4):289–94.CrossRefPubMed

26.

Larson C, Schlundt D, Patel K, Goldzweig I, Hargreaves M. Community Participation in Health Initiatives for Marginalized Populations. J Ambul Care Manage. 2009;32(4):264–70.CrossRefPubMed

27.

Nakhaee N, Jadidi N. Why Do Some Teens Turn to Drugs? A Focus Group Study of Drug Users' Experiences. J Addict Nurs. 2009;20(4):203–8.CrossRef

28.

Song L, Letho R, Stein K. Factors influencing the prostate cancer screening behavior in African American men. Oncol Nurs Forum. 2009;36(1):34 [Abstracts Accepted for the 10th National Conference on Cancer Nursing Research: PODIUM SESSIONS: Podium Session 24: Screening].

29.

Atassi K, Freeman R, Matutina R, Naccarato M. Factors contributing to Filipinos’ resistance to preventive screening: If health initiatives are to work in the Philippines, which has a high incidence of colorectal cancer, they must be sensitive to local culture. Katherine Atassi and colleagues suggest the use of the social ecological model to achieve this. Cancer Nurs Pract. 2010;9(2):22–5.CrossRef

30.

Babalola S, Lawan U. Factors predicting BCG immunization status in northern Nigeria: a behavioral-ecological perspective. J Child Health Care. 2009;13(1):46–62. http://doi.org/10.1177/1367493508098380.CrossRefPubMed

31.

Baral S, Holland CE, Shannon K, Logie C, Semugoma P, Sithole B, et al. Enhancing Benefits or increasing harms: community responses for HIV among men who have sex with men, transgender women, female sex workers, and people who inject drugs. J Acquir Immune Defic Syndr. 2014;66:S319–28.CrossRefPubMed

32.

Burke NJ, Joseph G, Pasick RJ, Barker JC. Theorizing Social Context: Rethinking Behavioral Theory. Health Educ Behav. 2009;36(5 Suppl):55S–70S. http://doi.org/10.1177/1090198109335338.CrossRefPubMedPubMedCentral

33.

Chakrapani V, Newman PA, Singhal N, Jerajani J, Shunmugam M. Willingness to Participate in HIV Vaccine Trials among Men Who Have Sex with Men in Chennai and Mumbai, India: A Social Ecological Approach. PLoS One. 2012;7(12):e51080. http://doi.org/10.1371/journal.pone.0051080.CrossRefPubMedPubMedCentral

34.

Daniels SR, Jacobson MS, McCrindle BW, Eckel RH, Sanner BM. American Heart Association Childhood Obesity Research Summit Report. Circulation. 2009;119(15):e489–517. http://doi.org/10.1161/CIRCULATIONAHA.109.192216.CrossRefPubMed

35.

Documét PI, Green HH, Adams J, Weil LA, Stockdale J, Hyseni Y. Perspectives of African American, Amish, Appalachian and Latina women on breast and cervical cancer screening: Implications for cultural competence. J Health Care Poor Underserved. 2008;19(1):56–74.CrossRefPubMed

36.

Earp JA, Eng E, O'Malley MS, Altpeter M, Rauscher G, Mayne L, Mathews HF, Lynch KS, Qaqish B. Increasing use of mammography among older, rural African American women: results from a community trial. Am J Public Health. 2002;92(4):646–54.CrossRefPubMedPubMedCentral

37.

Farris RP, Will JC, Khavjou O, Finkelstein EA. Beyond Effectiveness: Evaluating the Public Health Impact of the WISEWOMAN Program. Am J Public Health. 2007;97(4):641–7.CrossRefPubMedPubMedCentral

38.

Fisher EB, Walker EA, Bostrom A, Fischhoff B, Haire-Joshu D, Johnson SB. Behavioral Science Research in the Prevention of Diabetes Status and opportunities. Diabetes Care. 2002;25(3):599–606.CrossRefPubMed

39.

Fisher H, Trotter C, Hickman M, Audrey S. Barriers and facilitators to HPV vaccination of young women in high-income countries: a qualitative systematic review and evidence synthesis. BMC Public Health. 2014;14(1):700.CrossRef

40.

Fraze JL, Uhrig JD, Davis KC, Taylor MK, Lee NR, Spoeth S, et al. Applying core principles to the design and evaluation of the ‘Take Charge. Take the Test’ campaign: What worked and lessons learned. Public Health. 2009;123:e23–30. http://doi.org/10.1016/j.puhe.2009.08.006.CrossRefPubMed

41.

Garcia CM, Ptak SJ, Stelzer EB, Harwood EM, Brady SS. ‘I Connect With the Ringleader:’ Health Professionals’ Perspectives on Promoting the Sexual Health of Adolescent Males: ADOLESCENT MALE HEALTH. Res Nurs Health. 2014;37(6):454–65. http://doi.org/10.1002/nur.21627.CrossRefPubMed

42.

Greene DM. Health disparities in colorectal cancer screening in the United States: an application of the social ecological model. 2011. Retrieved from: http://www.medicalsociologyonline.org/resources/Vol6Iss2/MSo_6003_Health_Disparities_Greene.pdf. Accessed 08 May 2015.

43.

Hatcher AM, Romito P, Odero M, Bukusi EA, Onono M, Turan JM. Social context and drivers of intimate partner violence in rural Kenya: implications for the health of pregnant women. Cult Health Sex. 2013;15(4):404–19. http://doi.org/10.1080/13691058.2012.760205.CrossRefPubMed

44.

Hawkins JW, Pearce CW, Skeith J, Dimitruk B, Roche R. Using Technology to Expedite Screening and Intervention for Domestic Abuse and Neglect. Public Health Nurs. 2009;26(1):58–69. http://doi.org/10.1111/j.1525-1446.2008.00754.x.CrossRefPubMed

45.

Hilaire DM. Lay Health Advisors: Promoting Cancer Screening and Reducing Disparities. Clin J Oncol Nurs. 2011;15(6):691–3. http://doi.org/10.1188/11.CJON.691-693.CrossRefPubMed

46.

Ivankovich MB, Fenton KA, Douglas Jr JM. Considerations for national public health leadership in advancing sexual health. Public Health Rep. 2013;128 Suppl 1:102–10.PubMedPubMedCentral

47.

Johnson C, Rubinstein SM, Côté P, Hestbaek L, Injeyan HS, Puhl A, et al. Chiropractic Care and Public Health: Answering Difficult Questions about Safety, Care Through the Lifespan, and Community Action. J Manipulative Physiol Ther. 2012;35(7):493–513. http://doi.org/10.1016/j.jmpt.2012.09.001.CrossRefPubMed

48.

Larson CO. Issue Editor’s Preface: Linkages to Leverage Improvement in Health. J Ambul Care Manage. 2004;27(4):302–4.CrossRefPubMed

49.

Levano W, Miller JW, Leonard B, Bellick L, Crane BE, Kennedy SK, et al. Public education and targeted outreach to underserved women through the National Breast and Cervical Cancer Early Detection Program: Pub Ed and Outreach to Underserved Women. Cancer. 2014;120(S16):2591–6. http://doi.org/10.1002/cncr.28819.CrossRefPubMedPubMedCentral

50.

Lund CH, Carruth AK, Moody KB, Logan CA. Theoretical approaches to motivating change: A farm family case example. J Health Educ. 2005;36(5):279–86.CrossRef

51.

Martínez-Donate AP, Vera-Cala LM, Zhang X, Vedro R, Angulo R, Atkinson T. Prevalence and Correlates of Breast and Cervical Cancer Screening Among a Midwest Community Sample of Low-Acculturated Latinas. J Health Care Poor Underserved. 2013;24(4):1717–38. http://doi.org/10.1353/hpu.2013.0165.CrossRefPubMedPubMedCentral

52.

McClarty LM, Lorway RR, Ramanaik S, Wylie J, Becker ML. Factors influencing frontline health service providersʼ likelihood to recommend a future, preventive HIV vaccine to key populations in Karnataka, south India. Vaccine. 2015;33(5):656–63. http://doi.org/10.1016/j.vaccine.2014.12.009.CrossRefPubMed

53.

Messer LC, Quinlivan EB, Parnell H, Roytburd K, Adimora AA, Bowditch N, DeSousa N. Barriers and Facilitators to Testing, Treatment Entry, and Engagement in Care by HIV-Positive Women of Color. AIDS Patient Care STDS. 2013;27(7):398–407. http://doi.org/10.1089/apc.2012.0435.CrossRefPubMedPubMedCentral

54.

Mitchell JA, Watkins DC, Modlin Jr CS. Social determinants associated with colorectal cancer screening in an urban community sample of African-American men. J Mens Health. 2013;10(1):14–21.CrossRef

55.

Mobley LR, Kuo T-M, Clayton LJ, Evans WD. Mammography facilities are accessible, so why is utilization so low? Cancer Causes Control. 2009;20(6):1017–28. http://doi.org/10.1007/s10552-009-9295-1.CrossRefPubMedPubMedCentral

56.

Modell SM, Citrin T, King SB, Kardia SLR. The Role of Religious Values in Decisions about Genetics and the Public’s Health. J Relig Health. 2014;53(3):702–14. http://doi.org/10.1007/s10943-013-9814-y.CrossRefPubMed

57.

Nguyen-Truong CKY, Lee-Lin F, Leo MC, Gedaly-Duff V, Nail LM, Wang P, Tran T. A Community-Based Participatory Research Approach to Understanding Pap Testing Adherence among Vietnamese American Immigrants: Understanding Pap Testing Adherence among Vietnamese American Immigrants. J Obstet Gynecol Neonatal Nurs. 2012;41(6):E26–40. http://doi.org/10.1111/j.1552-6909.2012.01414.x.CrossRefPubMed

58.

Nuss HJ, Williams DL, Hayden J, Huard CR. Applying the social ecological model to evaluate a demonstration colorectal cancer screening program in Louisiana. J Health Care Poor Underserved. 2012;23(3):1026–35.CrossRefPubMed

59.

Preventive Cardiovascular Nurses Association PCNA. DEPARTMENTS: PCNA Annual Symposium Abstracts, PCNA 19th Annual Symposium: Poster Abstracts. J Cardiovasc Nurs. 2013;28(4):299–314.CrossRef

60.

Pearson TA. Public Policy Approaches to the Prevention of Heart Disease and Stroke. Circulation. 2011;124(23):2560–71. http://doi.org/10.1161/CIRCULATIONAHA.110.968743.CrossRefPubMed

61.

Porterfield DS, Hinnant LW, Kane H, Horne J, McAleer K, Roussel A. Linkages between clinical practices and community organizations for prevention: a literature review and environmental scan. Am J Prev Med. 2012;42(6):S163–71.CrossRefPubMed

62.

Power C, Bahnisch L, McCarthy D. Social Work in the Emergency Department—Implementation of a Domestic and Family Violence Screening Program. Aust Soc Work. 2011;64(4):537–54. http://doi.org/10.1080/0312407X.2011.606909.CrossRef

63.

Wilkinson JE, Lauer E, Freund KM, Rosen AK. Determinants of Mammography in Women with Intellectual Disabilities. J Am Board Fam Med. 2011;24(6):693–703. http://doi.org/10.3122/jabfm.2011.06.110095.CrossRefPubMedPubMedCentral

64.

Woods VD, Montgomery SB, Herring RP, Gardner RW, Stokols D. Social ecological predictors of prostate-specific antigen blood test and digital rectal examination in black American men. J Natl Med Assoc. 2006;98(4):492.PubMedPubMedCentral

65.

Yeary KHK, Mason M, Turner J, Kieber-Emmons T, Chow M, Hine RJ, et al. A community-based approach to translational research addressing breast cancer disparities. Transl Behav Med. 2011;1(2):224–33. http://doi.org/10.1007/s13142-011-0018-2.CrossRefPubMedPubMedCentral

66.

Andersen A, Bast LS, Ringgaard LW, Wohllebe L, Jensen PD, Svendsen M, et al. Design of a school-based randomized trial to reduce smoking among 13 to 15-year olds, the X: IT study. BMC Public Health. 2014;14(1):518.CrossRefPubMedPubMedCentral

67.

Barkoukis V, Lazuras L, Tsorbatzoudis H, Rodafinos A. Motivational and social cognitive predictors of doping intentions in elite sports: An integrated approach: Predictors of doping intentions. Scand J Med Sci Sports. 2013. http://doi.org/10.1111/sms.12068.

68.

Bavarian N, Flay BR, Ketcham PL, Smit E. Illicit use of prescription stimulants in a college student sample: A theory-guided analysis. Drug Alcohol Depend. 2013;132(3):665–73. http://doi.org/10.1016/j.drugalcdep.2013.04.024.CrossRefPubMedPubMedCentral

69.

Bavarian N, Flay BR, Smit E. An Exploratory Multilevel Analysis of Nonprescription Stimulant Use in a Sample of College Students. J Drug Issues. 2014;44(2):132–49. http://doi.org/10.1177/0022042613491109.CrossRef

70.

Bavarian N, Flay BR, Ketcham PL, Smit E, Kodama C, Martin M, Saltz RF. Using structural equation modeling to understand prescription stimulant misuse: A test of the Theory of Triadic Influence. Drug Alcohol Depend. 2014;138:193–201. http://doi.org/10.1016/j.drugalcdep.2014.02.700.CrossRefPubMedPubMedCentral

71.

Biglan A, Flay BR, Embry DD, Sandler IN. The critical role of nurturing environments for promoting human well-being. Am Psychol. 2012;67(4):257–71. http://doi.org/10.1037/a0026796.CrossRefPubMedPubMedCentral

72.

Breland-Noble AM, Bell C, Nicolas G. Family First: The Development of an Evidence-Based Family Intervention for Increasing Participation in Psychiatric Clinical Care and Research in Depressed African American Adolescents. Fam Process. 2006;45(2):153–69.CrossRefPubMedPubMedCentral

73.

Bricker JB, Rajan KB, Zalewski M, Andersen MR, Ramey M, Peterson AV. Psychological and social risk factors in adolescent smoking transitions: A population-based longitudinal study. Health Psychol. 2009;28(4):439–47. http://doi.org/10.1037/a0014568.CrossRefPubMedPubMedCentral

74.

Bonell CP, Fletcher A, Jamal F, Wells H, Harden A, Murphy S, Thomas J. Theories of how the school environment impacts on student health: Systematic review and synthesis. Health Place. 2013;24:242–9. http://doi.org/10.1016/j.healthplace.2013.09.014.CrossRefPubMed

75.

Chun J. Determinants of tobacco use among Korean female adolescents: Longitudinal test of the theory of triadic influence. Child Youth Serv Rev. 2015;50:83–7. http://doi.org/10.1016/j.childyouth.2015.01.009.CrossRef

76.

Chun J, Chung I-J. Gender Differences in Factors Influencing Smoking, Drinking, and Their Co-occurrence among Adolescents in South Korea. Nicotine Tob Res. 2013;15(2):542–51. http://doi.org/10.1093/ntr/nts181.CrossRefPubMed

77.

Davis SP, Arnette NC, Bethea KS, Graves KN, Rhodes MN, Harp SE, et al. The Grady Nia Project: A culturally competent intervention for low-income, abused, and suicidal African American women. Prof Psychol Res Pract. 2009;40(2):141–7. http://doi.org/10.1037/a0014566.CrossRef

78.

Debruijn G, Kremers S, Schaalma H, Vanmechelen W, Brug J. Determinants of adolescent bicycle use for transportation and snacking behavior. Prev Med. 2005;40(6):658–67. http://doi.org/10.1016/j.ypmed.2004.09.003.CrossRef

79.

Flay BR, Graumlich S, Segawa E, Burns JL, Holliday MY. Effects of 2 prevention programs on high-risk behaviors among African American youth: a randomized trial. Arch Pediatr Adolesc Med. 2004;158(4):377–84.CrossRefPubMedPubMedCentral

80.

Graves KN, Kaslow NJ, Frabutt JM. A culturally-informed approach to trauma, suicidal behavior, and overt aggression in African American adolescents. Aggress Violent Behav. 2010;15(1):36–41. http://doi.org/10.1016/j.avb.2009.07.014.CrossRef

81.

Grenard J, Guo Q, Jasuja GK, Unger J, Chou C, Gallaher P, et al. Influences affecting adolescent smoking behavior in China. Nicotine Tob Res. 2006;8(2):245–55. http://doi.org/10.1080/14622200600576610.CrossRefPubMed

82.

Gunning M, Sussman S, Rohrbach LA, Kniazev V, Masagutov R. Concurrent Predictors of Cigarette and Alcohol Use among U.S. and Russian Adolescents. J Drug Educ. 2009;39(4):385–400. http://doi.org/10.2190/DE.39.4.c.CrossRefPubMed

83.

Huang HL, Lee CH, Yen YY, Chen T, Chen FL, Ho PS, et al. School-level contextual factors associated with betel quid chewing among schoolchildren in Taiwan. Community Dent Oral Epidemiol. 2009;37(1):58–67. http://doi.org/10.1111/j.1600-0528.2008.00442.x.CrossRefPubMed

84.

Huang HL, Chen FL, Hsu CC, Yen YY. ChenT, Huang CM, et al. A multilevel-based study of school policy for tobacco control in relation to cigarette smoking among children in elementary schools: gender differences. Health Educ Res. 2010;25(3):451–63. http://doi.org/10.1093/her/cyq014.CrossRefPubMed

85.

Johnston V, Westphal DW, Earnshaw C, Thomas DP. Starting to smoke: a qualitative study of the experiences of Australian indigenous youth. BMC Public Health. 2012;12(1):963.CrossRefPubMedPubMedCentral

86.

Klein Velderman M, Dusseldorp E, van Nieuwenhuijzen M, Junger M, Paulussen TG, Reijneveld SA. Cultural, social and intrapersonal factors associated with clusters of co-occurring health-related behaviors among adolescents. Eur J Public Health. 2015;25(1):31–7.CrossRefPubMed

87.

Komro KA, Perry CL, Veblen-Mortenson S, Bosma LM, Dudovitz BS, Williams CL, et al. Brief report: The adaptation of Project Northland for urban youth. J Pediatr Psychol. 2004;29(6):457–66.CrossRefPubMed

88.

Lippke S, Nigg CR, Maddock JE. Health-Promoting and Health-Risk Behaviors: Theory-Driven Analyses of Multiple Health Behavior Change in Three International Samples. Int J Behav Med. 2012;19(1):1–13. http://doi.org/10.1007/s12529-010-9135-4.CrossRefPubMed

89.

Little MA, Spruijt-Metz D, Pokhrel P, Sun P, Rohrbach LA, Sussman S. Predicting Self-Initiated Marijuana Use Cessation among Youth at Continuation High Schools. Front Psych. 2013;4. http://doi.org/10.3389/fpsyt.2013.00069.

90.

McKay MM, Alicea S, Elwyn L, McClain ZRB, Parker G, Small LA, Mellins CA. The Development and Implementation of Theory-Driven Programs Capable of Addressing Poverty-Impacted Children’s Health, Mental Health, and Prevention Needs: CHAMP and CHAMP+, Evidence-Informed, Family-Based Interventions to Address HIV Risk and Care. J Clin Child Adolesc Psychol. 2014;43(3):428–41. http://doi.org/10.1080/15374416.2014.893519.CrossRefPubMedCentral

91.

Murnaghan DA, Leatherdale ST, Sihvonen M, Kekki P. A multilevel analysis examining the association between school-based smoking policies, prevention programs and youth smoking behavior: evaluating a provincial tobacco control strategy. Health Educ Res. 2007;23(6):1016–28. http://doi.org/10.1093/her/cyn034.CrossRef

92.

Otten R, Bricker JB, Liu J, Comstock BA, Peterson AV. Adolescent psychological and social predictors of young adult smoking acquisition and cessation: A 10-year longitudinal study. Health Psychol. 2011;30(2):163–70. http://doi.org/10.1037/a0022352.CrossRefPubMedPubMedCentral

93.

Perry CL, Williams CL, Komro KA, Veblen-Mortenson S, Stigler MH, Munson KA, Farbakhsh K, Jones RM, Forster JL. Project Northland: long-term outcomes of community action to reduce adolescent alcohol use. Health Educ Res. 2002;17(1):117–32.CrossRefPubMed

94.

Peters LWH, Wiefferink CH, Hoekstra F, Buijs GJ, ten Dam GTM, Paulussen TGWM. A review of similarities between domain-specific determinants of four health behaviors among adolescents. Health Educ Res. 2008;24(2):198–223. http://doi.org/10.1093/her/cyn013.CrossRefPubMed

95.

Peters LWH, ten Dam GTM, Kocken PL, Buijs GJ, Dusseldorp E, Paulussen TGWM. Effects of transfer-oriented curriculum on multiple behaviors in the Netherlands. Health Promot Int. 2015;30(2):291–309. http://doi.org/10.1093/heapro/dat039.CrossRefPubMed

96.

Petersen I, Bhana A, McKay M. Sexual violence and youth in South Africa: The need for community-based prevention interventions. Child Abuse Negl. 2005;29(11):1233–48. http://doi.org/10.1016/j.chiabu.2005.02.012.CrossRefPubMed

97.

Schofield PE, Pattison PE, Hill DJ, Borland R. Youth culture and smoking: Integrating social group processes and individual cognitive processes in a model of health-related behaviors. J Health Psychol. 2003;8(3):291–306.CrossRefPubMed

98.

Sieving RE, McNeely CS, Blum RW. Maternal expectations, mother-child connectedness, and adolescent sexual debut. Arch Pediatr Adolesc Med. 2000;154(8):809–16.CrossRefPubMed

99.

Stanton WR, Moffatt J, Clavarino A. Community Perceptions of Adequate Levels and Reasons for Skin Protection. Behav Med. 2005;31(1):5–17. http://doi.org/10.3200/BMED.31.1.5-17.CrossRefPubMed

100.

Sussman S, Dent CW, Leu L. The one-year prospective prediction of substance abuse and dependence among high-risk adolescents. J Subst Abuse. 2001;12(4):373–86.CrossRef

101.

Sussman S, Gunning M, Lisha NE, Rohrbach LA, Kniazev V, Masagutov R. Concurrent predictors of drug use consequences among US and Russian adolescents. Salud Drogas. 2009;9(2):129.PubMedPubMedCentral

102.

Thompson MP, Morrison DJ. Prospective predictors of technology-based sexual coercion by college males. Psychol Violence. 2013;3(3):233–46. http://doi.org/10.1037/a0030904.CrossRefPubMedPubMedCentral

103.

Wang Y, Tussing L, Odoms-Young A, Braunschweig C, Flay B, Hedeker D, Hellison D. Obesity prevention in low socioeconomic status urban African-American adolescents: study design and preliminary findings of the HEALTH-KIDS Study. Eur J Clin Nutr. 2006;60(1):92–103.CrossRefPubMed

104.

Xie B, Palmer P, Li Y, Lin C, Johnson CA. Developmental Trajectories of Cigarette Use and Associations With Multilayered Risk Factors Among Chinese Adolescents. Nicotine Tob Res. 2013;15(10):1673–81. http://doi.org/10.1093/ntr/ntt035.CrossRefPubMedPubMedCentral

Title: Screening and vaccination as determined by the Social Ecological Model and the Theory of Triadic Influence: a systematic review
Authors: Anayawa Nyambe
Guido Van Hal
Jarl K. Kampen
Publication date: 01-12-2016
Publisher: BioMed Central
Published in: BMC Public Health / Issue 1/2016
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-016-3802-6

At a glance: The STEP trials

Springer Medicine

Screening and vaccination as determined by the Social Ecological Model and the Theory of Triadic Influence: a systematic review

Abstract

Background

Methods

Results

Conclusions

At a glance: The STEP trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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