A Tailored Web- and Text-Based Intervention to Increase Physical Activity for Latino Men: Protocol for a Randomized Controlled Feasibility Trial

Kim M Gans, Akilah Dulin, Vanessa Palomo, Tanya Benitez, Shira Dunsiger, Laura Dionne, Gregory Champion, Rachelle Edgar, Bess Marcus, Kim M Gans, Akilah Dulin, Vanessa Palomo, Tanya Benitez, Shira Dunsiger, Laura Dionne, Gregory Champion, Rachelle Edgar, Bess Marcus

Abstract

Background: Latino men in the United States report low physical activity (PA) levels and related health conditions (eg, diabetes and obesity). Engaging in regular PA can reduce the risk of chronic diseases and yield many health benefits; however, there is a paucity of interventions developed exclusively for Latino men.

Objective: To address the need for culturally relevant PA interventions, this study aims to develop and evaluate Hombres Saludables, a 6-month theory-based, tailored web- and text message-based PA intervention in Spanish for Latino men. This protocol paper describes the study design, intervention, and evaluation methods for Hombres Saludables.

Methods: Latino men aged 18-65 years were randomized to either the individually tailored PA internet intervention arm or the nutrition and wellness internet control arm. The PA intervention included 2 check-in phone calls; automated SMS text messages; a pedometer; a 6-month gym membership; access to a private Facebook group; and an interactive website with PA tracking, goal setting, and individually tailored PA content. The primary outcomes were feasibility, acceptability, and efficacy (minutes per week of total moderate-to-vigorous PA assessed via the ActiGraph GT3X+ accelerometer worn at the waist and 7-day physical activity recall at baseline and 6 months). Secondary outcomes examined potential moderators (eg, demographics, acculturation, and environmental variables) and mediators (eg, self-efficacy and cognitive and behavioral processes of change) of treatment effects at 6 months post randomization.

Results: This study was funded in September 2016. Initial institutional review board approval was received in February 2017, and focus groups and intervention development were conducted from April 2017 to January 2018. Recruitment for the clinical trial was carried out from February 2018 to July 2019. Baseline data collection was carried out from February 2018 to October 2019, with a total of 43 participants randomized. Follow-up data were collected through April 2020. Data cleaning and analysis are ongoing.

Conclusions: We developed and tested protocols for a highly accessible, culturally and linguistically relevant, theory-driven PA intervention for Latino men. Hombres Saludables used an innovative, interactive, web- and text message-based intervention for improving PA among Latino men, an underserved population at risk of low PA and related chronic disease. If the intervention demonstrates feasibility, acceptability, and preliminary efficacy, we will refine and evaluate it in a larger randomized control trial.

Trial registration: Clinicaltrials.gov: NCT03196570; https://ichgcp.net/clinical-trials-registry/NCT03196570.

International registered report identifier (irrid): DERR1-10.2196/23690.

Keywords: Hispanic; Latino; eHealth; expert system; internet; men; mobile phone; physical activity; social media; text messaging.

Conflict of interest statement

Conflicts of Interest: None declared.

©Kim M Gans, Akilah Dulin, Vanessa Palomo, Tanya Benitez, Shira Dunsiger, Laura Dionne, Gregory Champion, Rachelle Edgar, Bess Marcus. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 29.01.2021.

Figures

Figure 1
Figure 1
Draft intervention logic model.
Figure 2
Figure 2
Hombres Saludables study flow diagram. C: control group; I: intervention group; PAR: physical activity recall; STOHFLA: Short Test of Functional Health Literacy in Adults.

References

    1. American College of Sports Medicine. Philadelphia: Wolters Kluwer; 2018. ACSM's guidelines for exercise testing and prescription. 10th ed.
    1. Age-adjusted percent distributions (with standard errors) of participation in leisure-time aerobic and muscle-strengthening activities that meet the 2008 federal physical activity guidelines among adults aged 18 and over, by selected characteristics: United States. U.S.Dept. Of Health and Human Services. 2018. [2020-06-06]. .
    1. Marquez DX, Neighbors CJ, Bustamante EE. Leisure time and occupational physical activity among racial or ethnic minorities. Med Sci Sports Exerc. 2010 Jun;42(6):1086–93. doi: 10.1249/MSS.0b013e3181c5ec05.
    1. Gay JL, Buchner DM. Ethnic disparities in objectively measured physical activity may be due to occupational activity. Prev Med. 2014 Jun;63:58–62. doi: 10.1016/j.ypmed.2014.02.015.
    1. Troiano RP, Berrigan D, Dodd KW, Mâsse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008 Jan;40(1):181–8. doi: 10.1249/mss.0b013e31815a51b3.
    1. Tucker JM, Welk GJ, Beyler NK. Physical activity in U.S.: adults compliance with the physical activity guidelines for Americans. Am J Prev Med. 2011 Apr;40(4):454–61. doi: 10.1016/j.amepre.2010.12.016.
    1. Arredondo EM, Sotres-Alvarez D, Stoutenberg M, Davis SM, Crespo NC, Carnethon MR, Castañeda SF, Isasi CR, Espinoza RA, Daviglus ML, Perez LG, Evenson KR. Physical activity levels in U.S. Latino/Hispanic adults: results from the hispanic community health study/study of Latinos. Am J Prev Med. 2016 Apr;50(4):500–8. doi: 10.1016/j.amepre.2015.08.029.
    1. National Center for Health Statistics . Health, United States. Hyattsville, MD: U.S. Department of Health and Human Services; 2018. [2020-06-06]. Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States, selected years 1988-1994 through 2013-2016. .
    1. Centers for Disease Control and Prevention. Atlanta, GA: Centers for Disease Control and Prevention, U.S. Department of Health and Human Services; 2020. National diabetes statistics report.
    1. Neighbors CJ, Marquez DX, Marcus BH. Leisure-time physical activity disparities among Hispanic subgroups in the United States. Am J Public Health. 2008 Aug;98(8):1460–4. doi: 10.2105/AJPH.2006.096982.
    1. Pekmezi D, Dunsiger S, Gans K, Bock B, Gaskins R, Marquez B, Lee C, Neighbors C, Jennings E, Tilkemeier P, Marcus B. Rationale, design, and baseline findings from Seamos Saludables: a randomized controlled trial testing the efficacy of a culturally and linguistically adapted, computer- tailored physical activity intervention for Latinas. Contemp Clin Trials. 2012 Nov;33(6):1261–71. doi: 10.1016/j.cct.2012.07.005.
    1. Marcus BH, Dunsiger SI, Pekmezi DW, Larsen BA, Bock BC, Gans KM, Marquez B, Morrow KM, Tilkemeier P. The Seamos Saludables study: a randomized controlled physical activity trial of Latinas. Am J Prev Med. 2013 Nov;45(5):598–605. doi: 10.1016/j.amepre.2013.07.006.
    1. Marcus BH, Dunsiger SI, Pekmezi D, Larsen BA, Marquez B, Bock BC, Gans KM, Morrow KM, Tilkemeier P. Twelve-month physical activity outcomes in Latinas in the Seamos Saludables trial. Am J Prev Med. 2015 Feb;48(2):179–82. doi: 10.1016/j.amepre.2014.08.032.
    1. Marcus BH, Hartman SJ, Pekmezi D, Dunsiger SI, Linke S, Marquez B, Gans KM, Bock BC, Larsen BA, Rojas C. Using interactive internet technology to promote physical activity in Latinas: rationale, design, and baseline findings of Pasos Hacia La Salud. Contemp Clin Trials. 2015 Sep;44:149–58. doi: 10.1016/j.cct.2015.08.004.
    1. Marcus BH, Hartman SJ, Larsen BA, Pekmezi D, Dunsiger SI, Linke S, Marquez B, Gans KM, Bock BC, Mendoza-Vasconez AS, Noble ML, Rojas C. Pasos Hacia La Salud: a randomized controlled trial of an internet-delivered physical activity intervention for Latinas. Int J Behav Nutr Phys Act. 2016 May 28;13:62. doi: 10.1186/s12966-016-0385-7.
    1. Ickes MJ, Sharma M. A systematic review of physical activity interventions in Hispanic adults. J Environ Public Health. 2012;2012:156435. doi: 10.1155/2012/156435. doi: 10.1155/2012/156435.
    1. Griffith DM, Bergner EM, Cornish EK, McQueen CM. Physical activity interventions with African Mmerican or Latino men: a systematic review. Am J Mens Health. 2018 Jul;12(4):1102–17. doi: 10.1177/1557988318763647.
    1. El Masri A, Kolt GS, George ES. Physical activity interventions among culturally and linguistically diverse populations: a systematic review. Ethn Health. 2019 Aug 26;:1–21. doi: 10.1080/13557858.2019.1658183.
    1. Larsen BA, Dunsiger S, Hartman S, Nodora J, Pekmezi DW, Marquez B, Noble M, Rojas C, Marcus BH. Activo: assessing the feasibility of designing and implementing a physical activity intervention for Latino men. Int J of Men's Health. 2014 May 27;13(1):60–71. doi: 10.3149/jmh.1301.60.
    1. Beleigoli AM, Andrade AQ, Cançado AG, Paulo MN, Diniz MDFH, Ribeiro AL. Web-based digital health interventions for weight loss and lifestyle habit changes in overweight and obese adults: systematic review and meta-analysis. J Med Internet Res. 2019 Jan 08;21(1):e298. doi: 10.2196/jmir.9609.
    1. Garcia DO, Valdez LA, Aceves B, Bell ML, Humphrey K, Hingle M, McEwen M, Hooker SP. A gender- and culturally sensitive weight loss intervention for Hispanic men: results from the pilot randomized controlled trial. Health Educ Behav. 2019 Oct;46(5):763–72. doi: 10.1177/1090198119853011.
    1. Larsen BA, Benitez TJ, Mendoza-Vasconez AS, Hartman SJ, Linke SE, Pekmezi DJ, Dunsiger SI, Nodora JN, Gans KM, Marcus BH. Randomized trial of a physical activity intervention for Latino men: Activo. Am J Prev Med. 2020 Aug;59(2):219–27. doi: 10.1016/j.amepre.2020.03.007.
    1. Redding CA, Prochaska JO, Pallonen UE, Rossi JS, Velicer WF, Rossi SR, Greene GW, Meier KS, Evers KE, Plummer BA, Maddock JE. Transtheoretical individualized multimedia expert systems targeting adolescents' health behaviors. Cogni and Beh Pract. 1999 Mar;6(2):144–53. doi: 10.1016/s1077-7229(99)80025-x.
    1. Prochaska JO, Evers KE, Castle PH, Johnson JL, Prochaska JM, Rula EY, Coberley C, Pope JE. Enhancing multiple domains of well-being by decreasing multiple health risk behaviors: a randomized clinical trial. Popul Health Manag. 2012 Oct;15(5):276–86. doi: 10.1089/pop.2011.0060.
    1. Romain AJ, Bortolon C, Gourlan M, Carayol M, Decker E, Lareyre O, Ninot G, Boiché J, Bernard P. Matched or nonmatched interventions based on the transtheoretical model to promote physical activity. A meta-analysis of randomized controlled trials. J Sport Health Sci. 2018 Jan;7(1):50–7. doi: 10.1016/j.jshs.2016.10.007.
    1. Casper JM, Harrolle MG. Perceptions of constraints to leisure time physical activity among Latinos in Wake County, North Carolina. Am J Health Promot. 2013;27(3):139–42. doi: 10.4278/ajhp.110401-ARB-145.
    1. Gordon-Larsen P, Nelson MC, Page P, Popkin BM. Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics. 2006 Feb;117(2):417–24. doi: 10.1542/peds.2005-0058.
    1. Larsen BA, Noble ML, Murray KE, Marcus BH. Physical activity in Latino men and women. Amer J of Lifestyle Med. 2014 Feb 06;9(1):4–30. doi: 10.1177/1559827614521758.
    1. Internet/broadband fact sheet. Pew Research Center. 2019. [2020-06-06].
    1. Mobile fact sheet. Pew Research Center. 2019. [2020-06-06].
    1. Perrin A. Turner E Smartphones help Blacks, Hispanics bridge some but not all digital gaps with Whites. Pew Research Center. 2019. [2020-11-19].
    1. Davies CA, Spence JC, Vandelanotte C, Caperchione CM, Mummery WK. Meta-analysis of internet-delivered interventions to increase physical activity levels. Int J Behav Nutr Phys Act. 2012 Apr 30;9:52. doi: 10.1186/1479-5868-9-52.
    1. Joseph RP, Durant NH, Benitez TJ, Pekmezi DW. Internet-based physical activity interventions. Am J Lifestyle Med. 2014 Jan;8(1):42–68. doi: 10.1177/1559827613498059.
    1. Jahangiry L, Farhangi MA, Shab-Bidar S, Rezaei F, Pashaei T. Web-based physical activity interventions: a systematic review and meta-analysis of randomized controlled trials. Public Health. 2017 Nov;152:36–46. doi: 10.1016/j.puhe.2017.06.005.
    1. Fanning J, Mullen SP, McAuley E. Increasing physical activity with mobile devices: a meta-analysis. J Med Internet Res. 2012 Nov 21;14(6):e161. doi: 10.2196/jmir.2171.
    1. Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: a systematic review of reviews. Annu Rev Public Health. 2015 Mar 18;36:393–15. doi: 10.1146/annurev-publhealth-031914-122855.
    1. Hartman SJ, Dunsiger SI, Bock BC, Larsen BA, Linke S, Pekmezi D, Marquez B, Gans KM, Mendoza-Vasconez AS, Marcus BH. Physical activity maintenance among Spanish-speaking Latinas in a randomized controlled trial of an internet-based intervention. J Behav Med. 2017 Jun;40(3):392–402. doi: 10.1007/s10865-016-9800-4.
    1. Aguirre AC, Ebrahim N, Shea JA. Performance of the English and Spanish S-TOFHLA among publicly insured Medicaid and Medicare patients. Patient Educ Couns. 2005 Mar;56(3):332–9. doi: 10.1016/j.pec.2004.03.007.
    1. Parker RM, Baker DW, Williams MV, Nurss JR. The test of functional health literacy in adults: a new instrument for measuring patients' literacy skills. J Gen Intern Med. 1995 Oct;10(10):537–41. doi: 10.1007/BF02640361.
    1. Baker DW, Williams MV, Parker RM, Gazmararian JA, Nurss J. Development of a brief test to measure functional health literacy. Patient Educ Couns. 1999 Sep;38(1):33–42. doi: 10.1016/s0738-3991(98)00116-5.
    1. Bandura A. Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall; 1986. p. A.
    1. Prochaska JO, DiClemente CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol. 1983 Jun;51(3):390–5. doi: 10.1037//0022-006x.51.3.390.
    1. Prochaska J, Redding C, Evers K. Health behavior and health education: Theory, research and practice. San Francisco, CA: Jossey-Bass; 2008. The transtheoretical model and stages of change; pp. 97–121.
    1. Kreuter MW, Lukwago SN, Bucholtz RDDC, Clark EM, Sanders-Thompson V. Achieving cultural appropriateness in health promotion programs: targeted and tailored approaches. Health Educ Behav. 2003 Apr;30(2):133–46. doi: 10.1177/1090198102251021.
    1. Resnicow K, Baranowski T, Ahluwalia JS, Braithwaite RL. Cultural sensitivity in public health: defined and demystified. Ethn Dis. 1999;9(1):10–21.
    1. Kreuter MW, McClure SM. The role of culture in health communication. Annu Rev Public Health. 2004;25:439–55. doi: 10.1146/annurev.publhealth.25.101802.123000.
    1. Elder JP, Ayala GX, Parra-Medina D, Talavera GA. Health communication in the Latino community: issues and approaches. Annu Rev Public Health. 2009;30:227–51. doi: 10.1146/annurev.publhealth.031308.100300.
    1. Sidani S, Guruge S, Miranda J, Ford-Gilboe M, Varcoe C. Cultural adaptation and translation of measures: an integrated method. Res Nurs Health. 2010 Apr;33(2):133–43. doi: 10.1002/nur.20364.
    1. Behling O, Law KS. Sage Research Methods. London: SAGE Publications Ltd; 2000. Translating questionnaires and other research instruments: Problems and solutions.
    1. Cella D, Hernandez L, Bonomi AE, Corona M, Vaquero M, Shiomoto G, Baez L. Spanish language translation and initial validation of the functional assessment of cancer therapy quality-of-life instrument. Med Care. 1998 Sep;36(9):1407–18. doi: 10.1097/00005650-199809000-00012.
    1. Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976) 2000 Dec 15;25(24):3186–91. doi: 10.1097/00007632-200012150-00014.
    1. Harkness J, van DVF, Mohler P. Survey Research Methods & Sampling. Hoboken, NJ: Wiley; 2002. Cross-cultural survey methods; pp. 1–432.
    1. Hunt SM, Bhopal R. Self report in clinical and epidemiological studies with non-English speakers: the challenge of language and culture. J Epidemiol Community Health. 2004 Jul;58(7):618–22. doi: 10.1136/jech.2003.010074.
    1. Hofstede G. UNF_RESEARCH. Thousand Oaks, CA: SAGE Publications Ltd; 2003. Culture's consequences: comparing values, behaviors, institutions, and organizations across nations.
    1. Valdez LA, Morrill KE, Griffith DM, Lindberg NM, Hooker SP, Garcia DO. Mexican origin hispanic men's perspectives of physical activity-related health behaviors. Am J Mens Health. 2019;13(1):1–11. doi: 10.1177/1557988319834112.
    1. Gavarkovs AG, Burke SM, Petrella RJ. The physical activity-related barriers and facilitators perceived by men living in rural communities. Am J Mens Health. 2017 Jul;11(4):1130–32. doi: 10.1177/1557988315598368.
    1. Payán DD, Sloane DC, Illum J, Lewis LB. Intrapersonal and environmental barriers to physical activity among Blacks and Latinos. J Nutr Educ Behav. 2019 Apr;51(4):478–485. doi: 10.1016/j.jneb.2018.10.001.
    1. Stults-Kolehmainen MA, Sinha R. The effects of stress on physical activity and exercise. Sports Med. 2014 Jan;44(1):81–121. doi: 10.1007/s40279-013-0090-5.
    1. Pechmann C, Phillips C, Calder D, Prochaska JJ. Facebook recruitment using zip codes to improve diversity in health research: longitudinal observational study. J Med Internet Res. 2020 Jun 05;22(6):e17554. doi: 10.2196/17554.
    1. McCarthy E, Mazza D. Cost and effectiveness of using facebook advertising to recruit young women for research: prefer (contraceptive preferences study) experience. J Med Internet Res. 2019 Nov 29;21(11):e15869. doi: 10.2196/15869.
    1. Akers L, Gordon JS. Using Facebook for large-scale online randomized clinical trial recruitment: effective advertising strategies. J Med Internet Res. 2018 Nov 08;20(11):e290. doi: 10.2196/jmir.9372.
    1. Sallis JF, Haskell WL, Wood PD, Fortmann SP, Rogers T, Blair SN, Paffenbarger RS. Physical activity assessment methodology in the Five-City Project. Am J Epidemiol. 1985 Jan;121(1):91–106. doi: 10.1093/oxfordjournals.aje.a113987.
    1. Blair SN, Haskell WL, Ho P, Paffenbarger RS, Vranizan KM, Farquhar JW, Wood PD. Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. Am J Epidemiol. 1985 Nov;122(5):794–804. doi: 10.1093/oxfordjournals.aje.a114163.
    1. Pekmezi DW, Neighbors CJ, Lee CS, Gans KM, Bock BC, Morrow KM, Marquez B, Dunsiger S, Marcus BH. A culturally adapted physical activity intervention for Latinas: a randomized controlled trial. Am J Prev Med. 2009 Dec;37(6):495–500. doi: 10.1016/j.amepre.2009.08.023.
    1. Norris AE, Ford K, Bova CA. Psychometrics of a brief acculturation scale for Hispanics in a probability sample of urban Hispanic adolescents and young adults. Hispanic J of Beh Sci. 2016 Jul 25;18(1):29–38. doi: 10.1177/07399863960181004.
    1. Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. Accelerometer. Med Sci Sports Exerc. 1998 May;30(5):777–81. doi: 10.1097/00005768-199805000-00021.
    1. White DK, Gabriel KP, Kim Y, Lewis CE, Sternfeld B. Do short spurts of physical activity benefit cardiovascular health? The CARDIA study. Med Sci Sports Exerc. 2015 Nov;47(11):2353–8. doi: 10.1249/MSS.0000000000000662.
    1. Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, George SM, Olson RD. The physical activity guidelines for Americans. JAMA. 2018 Nov 20;320(19):2020–28. doi: 10.1001/jama.2018.14854.
    1. Janz KF. Validation of the CSA accelerometer for assessing children's physical activity. Med Sci Sports Exerc. 1994 Mar;26(3):369–75.
    1. Melanson EL, Freedson PS. Validity of the Computer Science and Applications, Inc. (CSA) activity monitor. Med Sci Sports Exerc. 1995 Jun;27(6):934–40.
    1. Prince SA, Adamo KB, Hamel ME, Hardt J, Connor Gorber S, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act. 2008 Nov 06;5:56. doi: 10.1186/1479-5868-5-56.
    1. Hayden-Wade HA, Coleman KJ, Sallis JF, Armstrong C. Validation of the telephone and in-person interview versions of the 7-day PAR. Med Sci Sports Exerc. 2003 May;35(5):801–9. doi: 10.1249/01.MSS.0000064941.43869.4E.
    1. Leenders NY, Sherman WM, Nagaraja HN, Kien CL. Evaluation of methods to assess physical activity in free-living conditions. Med Sci Sports Exerc. 2001 Jul;33(7):1233–40. doi: 10.1097/00005768-200107000-00024.
    1. Dunn AL, Garcia ME, Marcus BH, Kampert JB, Kohl HW, Blair SN. Six-month physical activity and fitness changes in Project Active, a randomized trial. Med Sci Sports Exerc. 1998 Jul;30(7):1076–83. doi: 10.1097/00005768-199807000-00009.
    1. Dunn AL, Marcus BH, Kampert JB, Garcia ME, Kohl HW, Blair SN. Comparison of lifestyle and structured interventions to increase physical activity and cardiorespiratory fitness: a randomized trial. JAMA. 1999 Jan 27;281(4):327–34. doi: 10.1001/jama.281.4.327.
    1. Rauh MJ, Hovell MF, Hofstetter CR, Sallis JF, Gleghorn A. Reliability and validity of self-reported physical activity in Latinos. Int J Epidemiol. 1992 Oct;21(5):966–71. doi: 10.1093/ije/21.5.966.
    1. Marcus BH, Selby VC, Niaura RS, Rossi JS. Self-efficacy and the stages of exercise behavior change. Res Q Exerc Sport. 1992 Mar;63(1):60–6. doi: 10.1080/02701367.1992.10607557.
    1. Bock BC, Marcus BH, Pinto BM, Forsyth LH. Maintenance of physical activity following an individualized motivationally tailored intervention. Ann Behav Med. 2001;23(2):79–87. doi: 10.1207/S15324796ABM2302_2.
    1. Marcus BH, Rossi JS, Selby VC, Niaura RS, Abrams DB. The stages and processes of exercise adoption and maintenance in a worksite sample. Health Psychol. 1992;11(6):386–95. doi: 10.1037//0278-6133.11.6.386.
    1. Sallis JF, Grossman RM, Pinski RB, Patterson TL, Nader PR. The development of scales to measure social support for diet and exercise behaviors. Prev Med. 1987 Nov;16(6):825–36. doi: 10.1016/0091-7435(87)90022-3.
    1. Kendzierski D, DeCarlo KJ. Physical activity enjoyment scale: two validation studies. J of Sport and Exercise Psychol. 1991 Mar;13(1):50–64. doi: 10.1123/jsep.13.1.50.
    1. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983 Dec;24(4):385–96.
    1. Cohen S. Perceived stress in a probability sample of the United States. In: Inpacapan S, Oskamp S, editors. The social psychology of health. Thousand Oaks, CA: Sage; 1988. pp. 31–67.
    1. Skevington SM, Lotfy M, O'Connell KA, WHOQOL Group The World Health Organization's WHOQOL-BREF quality of life assessment: psychometric properties and results of the international field trial. A report from the WHOQOL group. Qual Life Res. 2004 Mar;13(2):299–310. doi: 10.1023/B:QURE.0000018486.91360.00.
    1. California health interview survey (CHIS) 2013-2014 adult questionnaire. UCLA Center for Health Policy Research. 2015. [2020-02-05]. .
    1. Mujahid MS, Diez Roux AV, Morenoff JD, Raghunathan T. Assessing the measurement properties of neighborhood scales: from psychometrics to ecometrics. Am J Epidemiol. 2007 Apr 15;165(8):858–67. doi: 10.1093/aje/kwm040.
    1. Schuck AM, Rosenbaum DP, Hawkins DF. The influence of race/ethnicity, social class, and neighborhood context on residents' attitudes toward the police. Police Quarterly. 2008 Feb 29;11(4):496–519. doi: 10.1177/1098611108318115.
    1. Schuck AM, Rosenbaum DP. Global and neighborhood attitudes toward the police: differentiation by race, ethnicity and type of contact. J Quant Criminol. 2005 Dec;21(4):391–418. doi: 10.1007/s10940-005-7356-5.
    1. Dulin-Keita A, Hannon L, Buys D, Casazza K, Clay O. Surrounding community residents' expectations of HOPE VI for their community, health and physical activity. J Community Pract. 2016;84(1):18–37. doi: 10.1080/10705422.2015.1129005.
    1. Odgers CL, Caspi A, Bates CJ, Sampson RJ, Moffitt TE. Systematic social observation of children's neighborhoods using Google Street View: a reliable and cost-effective method. J Child Psychol Psychiatry. 2012 Oct;53(10):1009–17. doi: 10.1111/j.1469-7610.2012.02565.x.
    1. Kelly CM, Wilson JS, Baker EA, Miller DK, Schootman M. Using Google Street View to audit the built environment: inter-rater reliability results. Ann Behav Med. 2013 Feb;45 Suppl 1:S108–12. doi: 10.1007/s12160-012-9419-9.
    1. Wilson J, Kelly C. Active Living Research. San Diego, CA: 2011. [2015-11-15]. Navigating Google street view: a guide to conducting audits of the built environment using Google street view. .
    1. Hoehner CM, Ivy A, Ramirez LKB, Handy S, Brownson RC. Active neighborhood checklist: a user-friendly and reliable tool for assessing activity friendliness. Am J Health Promot. 2007;21(6):534–7. doi: 10.4278/0890-1171-21.6.534.
    1. Wilson JS, Kelly CM, Schootman M, Baker EA, Banerjee A, Clennin M, Miller DK. Assessing the built environment using omnidirectional imagery. Am J Prev Med. 2012 Feb;42(2):193–9. doi: 10.1016/j.amepre.2011.09.029.
    1. Subar AF, Thompson FE, Kipnis V, Midthune D, Hurwitz P, McNutt S, McIntosh A, Rosenfeld S. Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires : the Eating at America's Table Study. Am J Epidemiol. 2001 Dec 15;154(12):1089–99. doi: 10.1093/aje/154.12.1089.
    1. Booth FW, Roberts CK, Thyfault JP, Ruegsegger GN, Toedebusch RG. Role of inactivity in chronic diseases: evolutionary insight and pathophysiological mechanisms. Physiol Rev. 2017 Oct 01;97(4):1351–402. doi: 10.1152/physrev.00019.2016.
    1. Booth FW, Roberts CK, Laye MJ. Lack of exercise is a major cause of chronic diseases. Compr Physiol. 2012 Apr;2(2):1143–211. doi: 10.1002/cphy.c110025.
    1. Gonzalez M, Sanders-Jackson A, Wright T. Web-based health information technology: access among latinos varies by subgroup affiliation. J Med Internet Res. 2019 Apr 16;21(4):e10389. doi: 10.2196/10389.
    1. Shaw R, Bosworth H. Short message service (SMS) text messaging as an intervention medium for weight loss: a literature review. Health Informatics J. 2012 Dec;18(4):235–50. doi: 10.1177/1460458212442422.
    1. Perez LG, Kerr J, Sallis JF, Slymen D, McKenzie TL, Elder JP, Arredondo EM. Perceived neighborhood environmental factors that maximize the effectiveness of a multilevel intervention promoting physical activity among latinas. Am J Health Promot. 2018 Feb;32(2):334–43. doi: 10.1177/0890117117742999.
    1. Murillo R, Reesor LM, Hernandez DC, Obasi EM. Neighborhood Walkability and Aerobic Physical Activity among Latinos. Am J Health Behav. 2019 Jul 01;43(4):802–11. doi: 10.5993/AJHB.43.4.13.
    1. Barnes R, Giles-Corti B, Bauman A, Rosenberg M, Bull FC, Leavy JE. Does neighbourhood walkability moderate the effects of mass media communication strategies to promote regular physical activity? Ann Behav Med. 2013 Feb;45 Suppl 1:S86–94. doi: 10.1007/s12160-012-9429-7.
    1. Kerr J, Norman GJ, Adams MA, Ryan S, Frank L, Sallis JF, Calfas KJ, Patrick K. Do neighborhood environments moderate the effect of physical activity lifestyle interventions in adults? Health and Place. 2010 Sep;16(5):903–8. doi: 10.1016/j.healthplace.2010.05.002.
    1. Hajna S, Ross NA, Brazeau A, Bélisle P, Joseph L, Dasgupta K. Associations between neighbourhood walkability and daily steps in adults: a systematic review and meta-analysis. BMC Public Health. 2015 Aug 11;15:768. doi: 10.1186/s12889-015-2082-x.
    1. Ray R. Black people don't exercise in my neighborhood: perceived racial composition and leisure-time physical activity among middle class blacks and whites. Soc Sci Res. 2017 Aug;66:42–57. doi: 10.1016/j.ssresearch.2017.03.008.
    1. Eakin EG, Bull SS, Riley K, Reeves MM, Gutierrez S, McLaughlin P. Recruitment and retention of Latinos in a primary care-based physical activity and diet trial: the resources for health study. Health Educ Res. 2007 Jun;22(3):361–71. doi: 10.1093/her/cyl095.

Source: PubMed

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