Buffering effects of protective factors on light and moderate-to-vigorous physical activity among african american women

Anderson, E. S., Wojcik, J. R., Winett, R. A., & Williams, D. M. (2006). Social-Cognitive Determinants of Physical Activity: The Influence of Social Support, Self-Efficacy, Outcome Expectations, and Self-Regulation Among Participants in a Church-Based Health Promotion Study. Health Psychology, 25(4), 510–520. https://doi.org/10.1037/0278-6133.25.4.510

Aparicio, H. J., Benjamin, E. J., Callaway, C. W., Carson, A. P., Cheng, S., Elkind, M. S. V., Evenson, K. R., Ferguson, J. F., Knutson, K. L., Lee, C. D., Lewis, T. T., Loop, M. S., Lutsey, P. L., Mackey, J., & Matchar, D. B. (2021). Heart Disease and Stroke Statistics-2021 Update A Report from the American Heart Association. In Circulation. https://doi.org/10.1161/CIR.0000000000000950

Bandura, A. (1982). Self-Efficacy Mechanism in Human Agency

Barber, S., Hickson, D. A., Kawachi, I., Subramanian, S. V., & Earls, F. (2016). Neighborhood Disadvantage and Cumulative Biological Risk Among a Socioeconomically Diverse Sample of African American Adults: An Examination in the Jackson Heart Study. Journal of Racial and Ethnic Health Disparities, 3(3), 444–456. https://doi.org/10.1007/s40615-015-0157-0

Bauman, A. E., Reis, R. S., Sallis, J. F., Wells, J. C., Loos, R. J., & Martin, B. W. (2012). Correlates of physical activity: why are some people physically active and others not? The Lancet, 380(9838), 258–271. https://doi.org/10.1016/S0140-6736(12)60735-1

Bowen, K. S., Uchino, B. N., Birmingham, W., Carlisle, M., Smith, T. W., & Light, K. C. (2014). The Stress-Buffering Effects of Functional Social Support on Ambulatory Blood Pressure. Health Psychology, 33(11), 1440–1443. https://doi.org/10.1037/hea0000005.The

Brown, A., Wilson, D. K., Sweeney, A. M., Lee, •, M., & Horn, V. (2020). The Moderating Effects of Social Support and Stress on Physical Activity in African American Women. https://doi.org/10.1093/abm/kaaa051

Brown, S. C., Huang, S., Perrino, T., Surio, P., Borges-Garcia, R., Flavin, K., Brown, H., Pantin, C., Szapocznik, H., Brown, J., Pantin, C. H., H., & Szapocznik, J. (2011). The relationship of perceived neighborhood social climate to walking in Hispanic older adults: A longitudinal, cross-lagged panel analysis. Journal of Aging and Health, 23(8), 1325–1351. https://doi.org/10.1177/0898264311418502

Bures, R. M. (2003). Childhood Residential Stability and Health at Midlife. American Journal of Public Health, 93(7), 1144–1148. https://doi.org/10.2105/AJPH.93.7.1144

Chastin, S. F. M., De Craemer, M., De Cocker, K., Powell, L., Van Cauwenberg, J., Dall, P., Hamer, M., & Stamatakis, E. (2019). How does light-intensity physical activity associate with adult cardiometabolic health and mortality? Systematic review with meta-analysis of experimental and observational studies. British Journal of Sports Medicine, 53(6), 370–376. https://doi.org/10.1136/bjsports-2017-097563

Cohen, S., & Janicki-Deverts, D. (2012). Who’s Stressed? Distributions of Psychological Stress in the United States in Probability Samples from 1983, 2006, and 20091. Journal of Applied Social Psychology, 42(6), 1320–1334. https://doi.org/10.1111/j.1559-1816.2012.00900.x

Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A Global Measure of Perceived Stress. Journal of Health and Social Behavior, 24(4), 385–396

Cohen, S., & Wills, T. A. (1985). Stress, Social Support, and the Buffering Hypothesis. In Psychologkal Bulletin (Vol. 98, Issue 2). https://doi.org/10.1037/0033-2909.98.2.310

Coulon, S. M., & Wilson, D. K. (2015). Social support buffering of the relation between low income and elevated blood pressure in at-risk African-American adults. Journal of Behavioral Medicine, 38(5), 830–834. https://doi.org/10.1007/s10865-015-9656-z

Cunningham, T. J., Croft, J. B., Liu, Y., Lu, H., Eke, P. I., & Giles, W. H. (2017). Vital Signs: Racial Disparities in Age-Specific Mortality Among Blacks or African Americans — United States, 1999–2015. Morbidity and Mortality Weekly Report, 66(17), 444–456

Deaton, A. (2008). Income, Health, and Well-Being around the World: Evidence from the Gallup World Poll. Journal of Economic Perspectives, 22(2), 53–72. www.worldvaluessurvey.org

del Pozo Cruz, B., Biddle, S. J. H., Gardiner, P. A., & Ding, D. (2021). Light-Intensity Physical Activity and Life Expectancy: National Health and Nutrition Survey. American Journal of Preventive Medicine, 61(3), 428–433. https://doi.org/10.1016/j.amepre.2021.02.012

Dunkel Schetter, C., Schafer, P., Lanzi, R. G., Clark-Kauffman, E., Raju, T. N. K. K., Hillemeier, M. M., & Network, T. C. C. H. (2013). Shedding Light on the Mechanisms Underlying Health Disparities Through Community Participatory Methods: The Stress Pathway. Perspectives on Psychological Science, 8(6), 613–633. https://doi.org/10.1177/1745691613506016

Edmonds, J. C. (2010). The relationship of stress to health-promoting behaviors of college-educated African American women. Bariatric Nursing and Surgical Patient Care, 5(4), 305–312. https://doi.org/10.1089/bar.2010.9992

Esliger, D. W., & Tremblay, M. S. (2006). Technical Reliability Assessment of Three Accelerometer Models in a Mechanical Setup. Medicine & Science in Sports & Exercise, 38(12), 2173–2181. https://doi.org/10.1249/01.mss.0000239394.55461.08

Fan, Y., Das, K. V., & Chen, Q. (2011). Neighborhood green, social support, physical activity, and stress: Assessing the cumulative impact. Health & Place, 17(6), 1202–1211. https://doi.org/10.1016/J.HEALTHPLACE.2011.08.008

Guardino, C. M., Hobel, C. J., Shalowitz, M. U., Ramey, S. L., & Schetter, D., C (2018). Psychosocial and demographic predictors of postpartum physical activity. Journal of Behavioral Medicine, 41(5), 668–679. https://doi.org/10.1007/s10865-018-9931-x

Hamilton-Mason, J., Hall, J. C., & Everett, J. E. (2009). And some of us are braver: Stress and coping among African American women. Journal of Human Behavior in the Social Environment, 19(5), 463–482. https://doi.org/10.1080/10911350902832142

Haughton, C. F., Silfee, V. J., Wang, M. L., Lopez-Cepero, A. C., Estabrook, D. P., Frisard, C., Rosal, M. C., Pagoto, S. L., & Lemon, S. C. (2018). Racial/ethnic representation in lifestyle weight loss intervention studies in the United States: A systematic review. Preventive Medicine Reports, 9(February), 131–137. https://doi.org/10.1016/j.pmedr.2018.01.012

Kari, J. T., Pehkonen, J., Hirvensalo, M., Yang, X., Hutri-Kähönen, N., Raitakari, O. T., & Tammelin, T. H. (2015). Income and physical activity among adults: Evidence from self-reported and pedometer-based physical activity measurements. Plos One, 10(8), https://doi.org/10.1371/journal.pone.0135651

Kayes, N. M., Schluter, P. J., McPherson, K. M., Leete, M., Mawston, G., & Taylor, D. (2009). Exploring Actical Accelerometers as an Objective Measure of Physical Activity in People With Multiple Sclerosis. Archives of Physical Medicine and Rehabilitation, 90(4), 594–601. https://doi.org/10.1016/j.apmr.2008.10.012

Lazarus, R. S., & Folkman, S. (1987). Transactional theory and research on emotions and coping. European Journal of Personality, 1(3), 141–169. https://doi.org/10.1002/per.2410010304

Lewis, T. T., & Van Dyke, M. E. (2018). Discrimination and the Health of African Americans: The Potential Importance of Intersectionalities. Current Directions in Psychological Science, 27(3), 176–182. https://doi.org/10.1177/0963721418770442

Li, Y., White, K., O’Shields, K. R., McLain, A. C., & Merchant, A. T. (2019). Light-Intensity Physical Activity and Cardiometabolic Risk Among Older Adults With Multiple Chronic Conditions. American Journal of Health Promotion, 33(4), 507–515. https://doi.org/10.1177/0890117118796459

Loprinzi, P. D. (2017). Light-Intensity Physical Activity and All-Cause Mortality. American Journal of Health Promotion, 31(4), 340–342. https://doi.org/10.4278/ajhp.150515-ARB-882

Mailey, E. L., & McAuley, E. (2014). Physical Activity Intervention Effects on Perceived Stress in Working Mothers: The Role of Self-Efficacy. Women and Health, 54(6), 552–568. https://doi.org/10.1080/03630242.2014.899542

McDaniel, T., Wilson, D. K., Coulon, M. S., Sweeney, A. M., & Van Horn, M. L. (2020). Interaction of Neighborhood and Genetic Risk on Waist Circumference in African-American Adults: A Longitudinal Study. Annals of Behavioral Medicine, 1–12. https://doi.org/10.1093/abm/kaaa063

Mendoza-Vasconez, A. S., Marquez, B., Benitez, T. J., & Marcus, B. H. (2018). Psychometrics of the self-efficacy for physical activity scale among a Latina women sample. Bmc Public Health, 18(1), https://doi.org/10.1186/s12889-018-5998-0

Ng, D. M., & Jeffrey, R. W. (2003). Relationships Between Perceived Stress and Health Behaviors in a Sample of Working Adults. Health Psychology, 22(6), 638–642

Nigg, C. R., Borrelli, B., Maddock, J., & Dishman, R. K. (2008). A Theory of Physical Activity Maintenance. Applied Psychology, 57(4), 544–560. https://doi.org/10.1111/j.1464-0597.2008.00343.x

Norton, K., Norton, L., & Sadgrove, D. (2010). Position statement on physical activity and exercise intensity terminology. Journal of Science and Medicine in Sport, 13(5), 496–502. https://doi.org/10.1016/j.jsams.2009.09.008

Pereira, M. C., & Coelho, F. (2013). Untangling the Relationship Between Income and Subjective Well-Being: The Role of Perceived Income Adequacy and Borrowing Constraints. Journal of Happiness Studies, 14(3), 985–1005. https://doi.org/10.1007/s10902-012-9365-z

Piferi, R. L., & Lawler, K. A. (2006). Social support and ambulatory blood pressure: An examination of both receiving and giving. International Journal of Psychophysiology, 62(2), 328–336. https://doi.org/10.1016/j.ijpsycho.2006.06.002

Ramakrishnan, R., He, J. R., Ponsonby, A. L., Woodward, M., Rahimi, K., Blair, S. N., & Dwyer, T. (2021). Objectively measured physical activity and all cause mortality: A systematic review and meta-analysis. Preventive Medicine, 143(June 2020), 106356. https://doi.org/10.1016/j.ypmed.2020.106356

Raudenbush, S., & Bryk, A. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods (Second). SAGE Publications Inc. https://doi.org/10.1016/B0-12-369398-5/00166-3

Roberti, J. W., Harrington, L. N., & Storch, E. A. (2006). Further Psychometric Support for the 10-Item Version of the Perceived Stress Scale. Journal of College Counseling, 9(2), 135–147. https://doi.org/10.1002/j.2161-1882.2006.tb00100.x

Robinette, J. W., Charles, S. T., Mogle, J. A., & Almeida, D. M. (2013). Neighborhood cohesion and daily well-being: Results from a diary study. Social Science and Medicine, 96, 174–182. https://doi.org/10.1016/j.socscimed.2013.07.027

Ross, C. E., & Jang, S. J. (2000). Neighborhood disorder, fear, and mistrust: The buffering role of social ties with neighbors. American Journal of Community Psychology, 28(4), 401–420. https://doi.org/10.1023/A:1005137713332

Sallis, J. F., Haskell, W. L., Fortmann, S. P., Vranizan, K. M., Taylor, C. B., & Solomon, D. S. (1986). Predictors of adoption and maintenance of physical activity in a community sample. Preventive Medicine, 15(4), 331–341. https://doi.org/10.1016/0091-7435(86)90001-0

Sallis, J. F., Pinski, R. B., Grossman, R. M., Patterson, T. L., & Nader, P. R. (1988). The development of self-efficacy scales for health-related diet and exercise behaviors. Health Education Research, 3(3), 283–292. https://doi.org/10.1093/her/3.3.283

Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997). Neighborhoods and violent crime: A multilevel study of collective efficacy. Emergency and Office Pediatrics, 10(6), 203–204

Schumacher, L. M., Arigo, D., & Thomas, C. (2017). Understanding physical activity lapses among women: responses to lapses and the potential buffering effect of social support. Journal of Behavioral Medicine, 40(5), 740–749. https://doi.org/10.1007/s10865-017-9846-y

Sharma, S., Mustanski, B., Dick, D., Bolland, J., & Kertes, D. A. (2019). Protective Factors Buffer Life Stress and Behavioral HealthOutcomes among High-Risk Youth. Journal of Abnormal Child Psychology, 47, 1289–1301

Sinclair, R. R., & Cheung, J. H. (2016). Money Matters: Recommendations for Financial Stress Research in Occupational Health Psychology. Stress and Health, 32(3), 181–193. https://doi.org/10.1002/smi.2688

Steinhardt, M. A., Mamerow, M. M., Brown, S. A., & Jolly, C. A. (2009). A Resilience Intervention in African American Adults With Type 2 Diabetes. The Diabetes Educator, 35(2), 274–284. https://doi.org/10.1177/0145721708329698

Steptoe, A. (2000). Stress, social support and cardiovascular activity over the working day. International Journal of Psychophysiology, 37(3), 299–308. https://doi.org/10.1016/S0167-8760(00)00109-4

Steptoe, A., Wardle, J., Pollard, T. M., Canaan, L., & Davies, G. J. (1996). Stress, Social Support, and Health-Related Behavior: A study of Smoking, Alcohol Consumption and Physical Exercise. Journal of Psychosomatic Research, 41(2), 171–180. https://doi.org/10.1016/0022-3999(96)00095-5

Stockdale, S. E., Wells, K. B., Tang, L., Belin, T. R., Zhang, L., & Sherbourne, C. D. (2007). The importance of social context: Neighborhood stressors, stress-buffering mechanisms, and alcohol, drug, and mental health disorders. Social Science and Medicine, 65(9), 1867–1881. https://doi.org/10.1016/j.socscimed.2007.05.045

Stults-Kolehmainen, M. A., & Sinha, R. (2014). The effects of stress on physical activity and exercise. Sports Medicine, 44(1), 81–121. https://doi.org/10.1007/s40279-013-0090-5

Suglia, S. F., Shelton, R. C., Hsiao, A., Wang, Y. C., Rundle, A., & Link, B. G. (2016). Why the Neighborhood Social Environment Is Critical in Obesity Prevention. Journal of Urban Health, 93(1), 206–212. https://doi.org/10.1007/s11524-015-0017-6

Thorpe, R. J., Fesahazion, R. G., Parker, L., Wilder, T., Rooks, R. N., Bowie, J. V., Bell, C. N., Szanton, S. L., & LaVeist, T. A. (2016). Accelerated Health Declines among African Americans in the USA. Journal of Urban Health, 93(5), 808–819. https://doi.org/10.1007/s11524-016-0075-4

Troiano, R. P., Berrigan, D., Dodd, K. W., Mâsse, L. C., Tilert, T., & Mcdowell, M. (2008). Physical activity in the United States measured by accelerometer. Medicine and Science in Sports and Exercise, 40(1), 181–188. https://doi.org/10.1249/mss.0b013e31815a51b3

Troxel, W. M., Matthews, K. A., Bromberger, J. T., & Sutton-Tyrrell, K. (2003). Chronic stress burden, discrimination, and subclinical carotid artery disease in African American and Caucasian women. Health Psychology, 22(3), 300–309. https://doi.org/10.1037/0278-6133.22.3.300

Welk, G. J., Schaben, J. A., & Morrow, J. R. (2004). Reliability of Accelerometry-Based Activity Monitors. Medicine & Science in Sports & Exercise p 1637–1645, 36(9), 1637–1645. https://journals.lww.com/acsm-msse/Fulltext/2004/09000/Reliability_of_Accelerometry_Based_Activity.26.aspx

Wilson, D. K., Friend, R., Teasley, N., Green, S., Reaves, I. L., & Sica, D. A. (2002). Motivational versus social cognitive interventions for promoting fruit and vegetable intake and physical activity in African American Adolescents. Annals of Behavioral Medicine, 24(4), 310–319. https://doi.org/10.1207/S15324796ABM2404_07

Wilson, D. K., Kitzman-Ulrich, H., Resnicow, K., Van Horn, M. L., George, S. M. S., Siceloff, E. R., Alia, K. A., McDaniel, T., Heatley, V. S., Huffman, L., Coulon, S., & Prinz, R. (2015). An overview of the Families Improving Together (FIT) for weight loss randomized controlled trial in African American families. Contemporary Clinical Trials, 42, 145–157. https://doi.org/10.1016/j.cct.2015.03.009

Wilson, D. K., Sweeney, A. M., van Horn, L. M., Kitzman-Ulrich, H., Law, L. H., Loncar, H., Kipp, C., Brown, A., Quattlebaum, M., McDaniel, T., George, S., Prinz, S. M., R., & Resnicow, K. (2022). The Results of the Families Improving Together (FIT) for Weight Loss Randomized Trial in Overweight African American Adolescents. Annals of Behavioral Medicine. https://doi.org/10.1016/j.cct.2015.03.009

Xu, S. Y., Nelson, S., Kerr, J., Godbole, S., Patterson, R., Merchant, G., Abramson, I., Staudenmayer, J., & Natarajan, L. (2018). Statistical approaches to account for missing values in accelerometer data: Applications to modeling physical activity. Statistical Methods in Medical Research, 27(4), 1168–1186. https://doi.org/10.1177/0962280216657119

Young, M. D., Plotnikoff, R. C., Collins, C. E., Callister, R., & Morgan, P. J. (2014). Social cognitive theory and physical activity: a systematic review and meta-analysis. Obesity Reviews: An Official Journal of the International Association for the Study of Obesity, 15(12), 983–995. https://doi.org/10.1111/OBR.12225

Zhao, M., Veeranki, S. P., Li, S., Steffen, L. M., & Xi, B. (2019). Beneficial associations of low and large doses of leisure time physical activity with all-cause, cardiovascular disease and cancer mortality: A national cohort study of 88,140 US adults. British Journal of Sports Medicine, 53(22), 1405–1411. https://doi.org/10.1136/bjsports-2018-099254

Zhao, M., Veeranki, S. P., Li, S., Steffen, L. M., & Xi, B. (2019). Beneficial associations of low and large doses of leisure time physical activity with all-cause, cardiovascular disease and cancer mortality: A national cohort study of 88,140 US adults. British Journal of Sports Medicine, 53(22), 1405–1411. https://doi.org/10.1136/bjsports-2018-099254