Culturally adapting internet- and mobile-based well being promotion interventions may not be well worth the effort: a scientific overview and meta-analysis

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  • Liu, J. J. et al. Adapting well being promotion interventions to satisfy the wants of ethnic minority teams: Combined-methods proof synthesis. Well being Know-how Evaluation https://doi.org/10.3310/hta16440 (2012).

  • Cerf, M. E. Wholesome life and noncommunicable ailments: diet, the life‐course, and well being promotion. Life-style Med. 2, 1–12 (2021).


    Google Scholar
     

  • Preston, S. H., Stokes, A., Mehta, N. Okay. & Cao, B. Projecting the impact of adjustments in smoking and weight problems on future life expectancy in america. Demography 51, 27–49 (2014).

    PubMed 

    Google Scholar
     

  • World Well being Group. Sexual Well being and its Linkages to Reproductive Well being: an Operational Method 1–12 (World Well being Group, 2017).

  • Di Cesare, M. et al. Inequalities in non-communicable ailments and efficient responses. Lancet 381, 585–597 (2013).

    PubMed 

    Google Scholar
     

  • World Well being Group. World Standing Report On Noncommunicable Ailments 2014 (World Well being Group, 2014).

  • World Well being Group. 2008-2013 Motion Plan for the World Technique for the Prevention and Management of Noncommunicable Ailments (World Well being Group, 2013).

  • Friel, S. & Marmot, M. G. Motion on the Social determinants of well being and well being inequities goes international. Annu. Rev. Public Well being. https://doi.org/10.1146/annurev-publhealth-031210-101220 (2011).

  • Muñoz, R. F. Utilizing evidence-based Web interventions to scale back well being disparities worldwide. J. Med. Web Res. 12, 1–10 (2010).


    Google Scholar
     

  • Head, Okay. J., Noar, S. M., Iannarino, N. T. & Grant Harrington, N. Efficacy of textual content messaging-based interventions for well being promotion: a meta-analysis. Soc. Sci. Med. 97, 41–48 (2013).

    PubMed 

    Google Scholar
     

  • Fiedler, J., Eckert, T., Wunsch, Okay. & Woll, A. Key aspects to construct up eHealth and mHealth interventions to reinforce bodily exercise, sedentary habits and diet in wholesome topics—an umbrella overview. BMC Public Well being 20, 1–21 (2020).


    Google Scholar
     

  • Müller, A. M. et al. Bodily exercise, sedentary habits, and diet-related ehealth and mhealth analysis: Bibliometric evaluation. J. Med. Web Res. 20, e122 (2018).

  • Do, H. P. et al. Which eHealth interventions are only for smoking cessation? A scientific overview. Affected person Choose. Adherence 12, 2065–2084 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Webb, T. L., Joseph, J., Yardley, L. & Michie, S. Utilizing the Web to advertise well being habits change: a scientific overview and meta-analysis of the affect of theoretical foundation, use of habits change methods, and mode of supply on efficacy. J. Med. Web Res. 12, 1–18 (2010).


    Google Scholar
     

  • Muñoz, R. F. et al. Huge open on-line interventions: a novel mannequin for delivering behavioral- well being companies worldwide. Clin. Psychol. Sci. 4, 194–205 (2016).


    Google Scholar
     

  • Vandelanotte, C. et al. Previous, current, and way forward for ehealth and mhealth analysis to enhance bodily exercise and dietary behaviors. J. Nutr. Educ. Behav. 48, 219–228.e1 (2016).

    PubMed 

    Google Scholar
     

  • Jiang, X., Ming, W. Okay. & You, J. H. S. The associated fee-effectiveness of digital well being interventions on the administration of cardiovascular ailments: systematic overview. J. Med. Web Res. 21, 1–11 (2019).


    Google Scholar
     

  • Elbert, N. J. et al. Effectiveness and cost-effectiveness of ehealth interventions in somatic ailments: a scientific overview of systematic critiques and meta-analyses. J. Med. Web Res. 16, 1–23 (2014).


    Google Scholar
     

  • Henrich, J., Heine, S. J. & Norenzayan, A. Past WEIRD: in direction of a broad-based behavioral science. Behav. Mind Sci. 33, 111–135 (2010).


    Google Scholar
     

  • Lin, J., Faust, B., Ebert, D. D., Krämer, L. & Baumeister, H. An online-based acceptance-facilitating intervention for figuring out sufferers’ acceptance, uptake, and adherence of internet- and mobile-based ache interventions: randomized managed trial. J. Med. Web Res. 20, e244 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Baumeister, H. et al. Affect of an acceptance facilitating intervention on diabetes sufferers’ acceptance of Web-based interventions for despair: a randomized managed trial. Diabetes Res. Clin. Pract. 105, 30–39 (2014).

    CAS 
    PubMed 

    Google Scholar
     

  • Armaou, M., Araviaki, E. & Musikanski, L. eHealth and mHealth interventions for ethnic minority and traditionally underserved populations in developed international locations: an umbrella overview. Int. J. Group Effectively-Being 3, 193–221 (2020).


    Google Scholar
     

  • Clauss-Ehlers, C. S., Chiriboga, D. A., Hunter, S. J., Roysircar, G. & Tummala-Narra, P. APA multicultural tips govt abstract: ecological strategy to context, identification, and intersectionality. Am. Psychol. 74, 232–244 (2019).

    PubMed 

    Google Scholar
     

  • Lewis, J. A., Williams, M. G., Peppers, E. J. & Gadson, C. A. Making use of intersectionality to discover the relations between gendered racism and well being amongst black ladies. J. Couns. Psychol. 64, 475–486 (2017).

    PubMed 

    Google Scholar
     

  • World Well being Group. Selling well being within the SDGs. Report on ninth World Convention on Well being Promotion 1–37 (World Well being Group, 2016).

  • Barrera, M., Castro, F. G. & Steiker, L. Okay. H. A crucial evaluation of approaches to the event of preventive interventions for subcultural teams. Am. J. Group Psychol. 48, 439–454 (2011).

    PubMed 

    Google Scholar
     

  • Bernal, G., Jiménez-Chafey, M. I., & Domenech Rodríguez, M. M. & Domenech Rodríguez Cultural adaptation of therapies: a useful resource for contemplating tradition in evidence-based observe. Prof. Psychol. Res. Pract. 40, 361–368 (2009).


    Google Scholar
     

  • Resnicow, Okay., Soler, R., Braithwaite, R. L., Ahluwalia, J. S. & Butler, J. Cultural sensitivity in substance use prevention. J. Group Psychol. 28, 271–290 (2000).

  • Cardemil, E. Cultural variations to empirically supported therapies: a analysis agenda. Sci. Rev. Ment. Heal. Pract. 7, 8–21 (2010).

  • Liu, J. J. et al. Smoking cessation interventions for ethnic minority teams—a scientific overview of tailored interventions. Prev. Med. (Balt.). 57, 765–775 (2013).


    Google Scholar
     

  • Nierkens, V. et al. Effectiveness of cultural variations of interventions aimed toward smoking cessation, food regimen, and/or bodily exercise in ethnic minorities. a scientific overview. PLoS ONE https://doi.org/10.1371/journal.pone.0073373 (2013).

  • Lambert, S. et al. The impact of culturally-adapted well being training interventions amongst culturally and linguistically various (CALD) sufferers with a power sickness: a meta-analysis and descriptive systematic overview. Affected person Educ. Couns. https://doi.org/10.1016/j.pec.2021.01.023 (2021).

  • Staffileno, B. A. B. A., Tangney, C. C. C. C. & Fogg, L. Favorable outcomes utilizing an eHealth strategy to advertise bodily exercise and diet amongst younger African American ladies. J. Cardiovasc. Nurs. 33, 62–71 (2018).

    PubMed 

    Google Scholar
     

  • Anderson-Lewis, C., Darville, G., Mercado, R. E., Howell, S. & Di Maggio, S. mHealth know-how use and implications in traditionally underserved and minority populations in america: Systematic literature overview. JMIR mHealth uHealth 6, e128 (2018).

  • Montague, E. & Perchonok, J. Well being and wellness know-how use by traditionally underserved well being shoppers: Systematic overview. J. Med. Web Res. 14, e78 (2012).

  • Bennett, G. G. et al. Digital well being (eHealth) interventions for weight administration amongst racial/ethnic minority adults: a scientific overview. Obes. Rev. 15, 146–158 (2014).

    PubMed 

    Google Scholar
     

  • Augustson, E. et al. Textual content to give up China: an mHealth smoking cessation. Trial Am. J. Well being Promot. 31, 217–225 (2017).

    PubMed 

    Google Scholar
     

  • Bender, M. S., Cooper, B. A., Park, L. G., Padash, S. & Arai, S. A possible and efficacious mobile-phone primarily based life-style intervention for Filipino Individuals with sort 2 diabetes: randomized managed trial. JMIR Diabetes 2, e30 (2017).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bowen, D. J., Henderson, P. N., Harvill, J. & Buchwald, D. Quick-term results of a smoking prevention web site in American Indian youth. J. Med. Web Res. 14, e81 (2012).

  • Brito Beck Da Silva, Okay. et al. Analysis of the computer-based intervention program stayingfit Brazil to advertise wholesome consuming habits: The outcomes from a college cluster-randomized managed trial. Int. J. Environ. Res. Public Well being 16, 1–18 (2019).


    Google Scholar
     

  • Cruvinel, E., Richter, Okay. P., Colugnati, F. & Ronzani, T. M. An experimental feasibility examine of a hybrid phone counseling/textual content messaging intervention for post-discharge cessation assist amongst hospitalized people who smoke in Brazil. Nicotine Tob. Res. 21, 1700–1705 (2019).

    PubMed 

    Google Scholar
     

  • Duan, Y. P., Wienert, J., Hu, C., Si, G. Y. & Lippke, S. Internet-based intervention for bodily exercise and fruit and vegetable consumption amongst Chinese language college college students: a randomized managed trial. J. Med. Web Res. 19, 1–15 (2017).


    Google Scholar
     

  • Fortmann, A. L. et al. Dulce digital: An mHealth SMS primarily based intervention improves glycemic management in hispanics with sort 2 diabetes. Diabetes Care 40, 1349–1355 (2017).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kurth, A. E. et al. Linguistic and cultural adaptation of a computer-based counseling program (CARE+ Spanish) to assist HIV remedy adherence and threat discount for folks dwelling with HIV/AIDS: a randomized managed trial. J. Med. Web Res. 18, e195 (2016).

  • Larsen, B. A. et al. Randomized trial of a bodily exercise intervention for Latino Males: Activo. Am. J. Prev. Med. 59, 219–227 (2020).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lau, P. W. C., Pitkethly, A. J., Leung, B. W. C., Lau, E. Y. & Wang, J. J. The intervention impact of SMS supply on chinese language adolescent’s bodily exercise. Int. J. Environ. Res. Public Well being 16, 1–12 (2019).


    Google Scholar
     

  • Marcus, B. H. et al. Pasos Hacia La Salud: a randomized managed trial of an internet-delivered bodily exercise intervention for Latinas. Int. J. Behav. Nutr. Phys. Act. 13, 62 (2016).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Montag, A. C. et al. Stopping alcohol-exposed being pregnant amongst an american indian/alaska native inhabitants: impact of a screening, temporary intervention, and referral to remedy intervention. Alcohol. Clin. Exp. Res. 39, 126–135 (2015).

    PubMed 

    Google Scholar
     

  • Peiris, D. et al. A smartphone app to help smoking cessation amongst aboriginal australians: findings from a pilot randomized managed trial. JMIR mHealth uHealth 7, e12745 (2019).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Rothstein, H. R., Sutton, A. J. & Borenstein, M. Publication Bias in Meta-Analyses: Prevention, Evaluation and Changes (John Wiley & Sons, 2005).

  • Rathod, S. et al. The present standing of culturally tailored psychological well being interventions: a practice-focused overview of meta-analyses. Neuropsychiatr. Dis. Deal with. 14, 165–178 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Harper Shehadeh, M., Maercker, A., Heim, E., Chowdhary, N. & Albanese, E. Cultural adaptation of minimally guided interventions for frequent psychological issues: a scientific overview and meta-analysis. JMIR Ment. Heal 3, e44 (2016).


    Google Scholar
     

  • Lustria, M. L. A. et al. A meta-analysis of web-delivered tailor-made well being habits change interventions. J. Well being Commun. https://doi.org/10.1080/10810730.2013.768727 (2013).

  • Van Loon, A., Van Schaik, A., Dekker, J. & Beekman, A. Bridging the hole for ethnic minority grownup outpatients with despair and anxiousness issues by culturally tailored therapies. J. Have an effect on. Disord. 147, 9–16 (2013).

    PubMed 

    Google Scholar
     

  • Whittaker, R. et al. Cell phone textual content messaging and app‐primarily based interventions for smoking cessation. Cochrane Database Syst. Rev. https://doi.org/10.1002/14651858.CD006611.pub5 (2019).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Myung, S.-Okay., McDonnell, D. D., Kazinets, G., Search engine optimization, H. G. & Moskowitz, J. M. Results of web- and computer-based smoking cessation packages. Arch. Intern. Med. https://doi.org/10.1001/archinternmed.2009.109 (2009).

  • Joiner, Okay. L., Nam, S. & Whittemore, R. Life-style interventions primarily based on the diabetes prevention program delivered by way of eHealth: a scientific overview and meta-analysis. Prev. Med. (Balt.). 100, 194–207 (2017).


    Google Scholar
     

  • Rodriguez Rocha, N. P. & Kim, H. eHealth interventions for fruit and vegetable consumption: a meta-analysis of effectiveness. Heal. Educ. Behav. 46, 947–959 (2019).


    Google Scholar
     

  • Kelly, J. T., Reidlinger, D. P., Hoffmann, T. C. & Campbell, Okay. L. Telehealth strategies to ship dietary interventions in adults with power illness: a scientific overview and meta-analysis1,2. Am. J. Clin. Nutr. 104, 1693–1702 (2016).

    CAS 
    PubMed 

    Google Scholar
     

  • Hutchesson, M. J. et al. eHealth interventions for the prevention and remedy of chubby and weight problems in adults: A scientific overview with meta-analysis. Obes. Rev. 16, 376–392 (2015).

    CAS 
    PubMed 

    Google Scholar
     

  • Bailey, J. V. et al. Interactive computer-based interventions for sexual well being promotion. Cochrane Database Syst. Rev. https://doi.org/10.1002/14651858.cd006483.pub2 (2010).

  • Noar, S. M., Black, H. G. & Pierce, L. B. Efficacy of pc technology-based HIV prevention interventions: a meta-analysis. Aids 23, 107–115 (2009).

    PubMed 

    Google Scholar
     

  • Cunningham, J. A., Kypri, Okay. & McCambridge, J. Exploratory randomized managed trial evaluating the affect of a ready listing management design. BMC Med. Res. Methodol. 13, 150 (2013).

  • Graham, A. et al. Systematic overview and meta-analysis of Web interventions for smoking cessation amongst adults. Subst. Abuse Rehabil. 55. https://doi.org/10.2147/sar.s101660 (2016).

  • Bernal, G. & Sáez-Santiago, E. Culturally centered psychosocial interventions. J. Group Psychol. 34, 121–132 (2006).


    Google Scholar
     

  • Salamanca-Sanabria, A., Richards, D. & Timulak, L. Adapting an internet-delivered intervention for despair for a Colombian faculty scholar inhabitants: an illustration of an integrative empirical strategy. Web Inter. 15, 76–86 (2019).


    Google Scholar
     

  • Spanhel, Okay. et al. Cultural adaptation of internet- and mobile-based interventions for psychological issues: a scientific overview. npj Digit. Med. https://doi.org/10.1038/s41746-021-00498-1 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Domhardt, M. et al. Therapeutic processes in digital interventions for anxiousness: a scientific overview and meta-analytic structural equation modeling of randomized managed trials. Clin. Psychol. Rev. 90, 102084 (2021).

    PubMed 

    Google Scholar
     

  • Domhardt, M., Cuijpers, P., Ebert, D. D. & Baumeister, H. Extra mild? alternatives and pitfalls in digitalized psychotherapy course of analysis. Entrance. Psychol. 12, 1–5 (2021).


    Google Scholar
     

  • Kazdin, A. E. Mediators and mechanisms of change in psychotherapy analysis. Annu. Rev. Clin. Psychol. 3, 1–27 (2007).

    PubMed 

    Google Scholar
     

  • Domhardt, M. et al. Mediators and mechanisms of change in internet- and mobile-based interventions for despair: a scientific overview. Clin. Psychol. Rev. 83, 101953 (2021).

    PubMed 

    Google Scholar
     

  • Rad, M. S., Martingano, A. J. & Ginges, J. Towards a psychology of Homo sapiens: Making psychological science extra consultant of the human inhabitants. Proc. Natl Acad. Sci. USA 115, 11401–11405 (2018).

    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gone, J. P. A community-based remedy for Native American historic trauma: prospects for evidence-based observe. J. Seek the advice of. Clin. Psychol. 77, 751–762 (2009).

    PubMed 

    Google Scholar
     

  • Nagayama Corridor, G. C., Yip, T. & Zárate, M. A. On turning into multicultural in a monocultural analysis world: a conceptual strategy to finding out ethnocultural range. Am. Psychol. 71, 40–51 (2016).


    Google Scholar
     

  • Bernal, G. & Adames, C. Cultural variations: conceptual, moral, contextual, and methodological points for working with ethnocultural and majority-world populations. Prev. Sci. 18, 681–688 (2017).

    PubMed 

    Google Scholar
     

  • Castro, F. G., Barrera, M. & Holleran Steiker, L. Okay. Points and challenges within the design of culturally tailored evidence-based interventions. Ssrn https://doi.org/10.1146/annurev-clinpsy-033109-132032 (2010).

  • Warne, D. & Wescott, S. Social determinants of American Indian Dietary Well being. Curr. Dev. Nutr. https://doi.org/10.1093/cdn/nzz054 (2019).

  • Abaza, H. & Marschollek, M. mHealth utility areas and know-how mixtures. Strategies Inf. Med. 56, e105–e122 (2017).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Corridor, C. S., Fottrell, E., Wilkinson, S. & Byass, P. Assessing the affect of mHealth interventions in low- and middle-income international locations—what has been proven to work? Glob. Well being Motion 7, 25606 (2014).

  • Kruse, C. et al. Obstacles to the usage of cellular well being in enhancing well being outcomes in creating international locations: Systematic overview. J. Med. Web Res. 21, 1–13 (2019).


    Google Scholar
     

  • Weisel, Okay. Okay. et al. Standalone smartphone apps for psychological well being—a scientific overview and meta-analysis. npj Digit. Med. 2, 1–10 (2019).


    Google Scholar
     

  • Bendig, E. et al. Web-based interventions in power somatic illness. Dtsch. Arztebl. Int. 115, 659–665 (2018).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ebert, D. D. et al. Web- and mobile-based psychological interventions: purposes, efficacy, and potential for enhancing psychological well being. Eur. Psychol. 23, 167–187 (2018).


    Google Scholar
     

  • Tsetsi, E. & Rains, S. A. Smartphone Web entry and use: extending the digital divide and utilization hole. Mob. Media Commun. 5, 239–255 (2017).


    Google Scholar
     

  • Baumeister, H., Reichler, L., Munzinger, M. & Lin, J. The affect of steering on Web-based psychological well being interventions – A scientific overview. Web Inter. 1, 205–215 (2014).


    Google Scholar
     

  • Arsenijevic, J., Tummers, L. & Bosma, N. Adherence to digital well being instruments amongst susceptible teams: Systematic literature overview and meta-analysis. J. Med. Web Res. 22, e11613 (2020).

  • Aranda-Jan, C. B., Mohutsiwa-Dibe, N. & Loukanova, S. Systematic overview on what works, what doesn’t work and why of implementation of cellular well being (mHealth) initiatives in Africa. BMC Public Well being 14, 1–15 (2014).


    Google Scholar
     

  • James, D. C., Harville, C., Sears, C., Efunbumi, O. & Bondoc, I. Participation of African Individuals in e-Well being and m-Well being research: a scientific overview. Telemed. e-Well being 23, 351–364 (2017).


    Google Scholar
     

  • Hwang, D. S. A., Lee, A., Track, J. M. & Han, H. R. Recruitment and retention methods amongst racial and ethnic minorities in web-based intervention trials: retrospective qualitative evaluation. J. Med. Web Res. 23, e23959 (2021).

  • Callier, S. & Fullerton, S. M. Variety and inclusion in unregulated mHealth analysis: addressing the dangers. J. Legislation Med. Ethics 48, 115–121 (2020).

    PubMed 

    Google Scholar
     

  • Druce, Okay. L., Dixon, W. G. & McBeth, J. Maximizing engagement in cellular well being research: classes discovered and future instructions. Rheum. Dis. Clin. North Am. 45, 159–172 (2019).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Moher, D., Liberati, A., Tetzlaff, J. & Altman, D. G. Most popular reporting objects for systematic critiques and meta-analyses: The PRISMA assertion. BMJ 339, 332–336 (2009).


    Google Scholar
     

  • Balci, S., Spanhel, Okay., Sander, L. & Baumeister, H. Protocol for a scientific overview and meta-analysis of culturally tailored internet- And mobile-based well being promotion interventions. BMJ Open https://doi.org/10.1136/bmjopen-2020-037698 (2020).

  • Spanhel, Okay., Balci, S., Baumeister, H., Bengel, J. & Sander, L. B. Cultural adaptation of Web- and mobile-based interventions for psychological issues: a scientific overview protocol. Syst. Rev. 9, 207 (2020).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Babineau, J. Product Overview: Covidence (Systematic Overview Software program). J. Can. Heal. Libr. Assoc./J. l’Affiliation bibliothèques la St.é du Can. 35, 68 (2014).


    Google Scholar
     

  • Sterne, J. A. C. et al. RoB 2: A revised device for assessing threat of bias in randomised trials. BMJ https://doi.org/10.1136/bmj.l4898 (2019).

  • Higgins JPT et al. (editors). Cochrane Handbook for Systematic Evaluations of Interventions Model 5.1.0. (The Cochrane Collaboration, 2011). Accessible at: www.handbook.cochrane.org.

  • Fritz, C. O., Morris, P. E. & Richler, J. J. Impact dimension estimates: present use, calculations, and interpretation. J. Exp. Psychol. Gen. 141, 2–18 (2012).

    PubMed 

    Google Scholar
     

  • Tufanaru, C., Munn, Z., Stephenson, M. & Aromataris, E. Mounted or random results meta-analysis? Widespread methodological points in systematic critiques of effectiveness. Int. J. Evid. Primarily based Well being. 13, 196–207 (2015).


    Google Scholar
     

  • Balduzzi, S., Rücker, G. & Schwarzer, G. The best way to carry out a meta-analysis with R: a sensible tutorial. Evid. Primarily based Ment. Well being 22, 153–160 (2019).

    PubMed 

    Google Scholar
     

  • Harrer, M., Cuijpers, P. & Ebert, D. Doing meta-analysis in R. https://doi.org/10.5281/ZENODO.2551803 (2019).

  • The Nordic Cochrane Centre. Overview Supervisor (RevMan) (The Cochrane Collaboration, 2014).

  • Viechtbauer, W. Conducting meta-analyses in R with the metafor. J. Stat. Softw. 36, 1–48 (2010).


    Google Scholar
     

  • Cohen, J. Statistical Energy Evaluation for the Behavioural Science 2nd edn. (Erlbaum Affiliate, 1988).

  • Higgins, J. P. T. & Thompson, S. G. Quantifying heterogeneity in a meta-analysis. Stat. Med. https://doi.org/10.1002/sim.1186 (2002).

  • Card, N. A. Utilized Meta-Evaluation for Social Science Analysis. (Guilford, 2011).

  • Bender, M. S. & Clark, M. J. Cultural adaptation for ethnic range: a overview of weight problems interventions for preschool kids. Calif. J. Well being Promot 9, 40 (2011).

    PubMed 
    PubMed Central 

    Google Scholar
     

  • Barrera, M., Castro, F. G., Strycker, L. & Toobert, D. Cultural variations of behavioral well being interventions: a progress report. J. Seek the advice of. Clin. Psychol. 81, 196–205 (2013).

    PubMed 

    Google Scholar
     

  • Castro, Y. et al. Adaptation of a counseling intervention to handle a number of most cancers threat elements amongst chubby/overweight latino people who smoke. Heal. Educ. Behav. 42, 65–72 (2015).


    Google Scholar
     

  • Philis-Tsimikas, A. et al. Enchancment in diabetes care of underinsured sufferers enrolled in Challenge Dulce: A community-based, culturally applicable, nurse case administration and peer training diabetes care mannequin. Diabetes Care 27, 110–115 (2004).

    PubMed 

    Google Scholar
     



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