Introduction
Study Design
Setting/participants
Intervention
Measures
Results
Conclusions
Trial Registration
INTRODUCTION
Overweight and obesity. Centers for Disease Control and Prevention. http://www.cdc.gov/obesity/index.html. Updated January 23, 2020. Accessed April 3, 2022.
WHO. Risk reduction of cognitive decline and dementia: WHO guidelines. Geneva, Switzerland: WHO. https://www.ncbi.nlm.nih.gov/books/NBK542790/. Published 2019. Accessed April 3, 2022.
U.S. Department of Health and Human Services. Physical activity guidelines for Americans. Washington, DC: U.S. Department of Health and Human Services. https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf. Published 2018. Accessed February 17, 2021.
U.S. Department of Health and Human Services. Physical activity guidelines for Americans. Washington, DC: U.S. Department of Health and Human Services. https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf. Published 2018. Accessed February 17, 2021.
Physical activity. Centers for Disease Control and Prevention. https://www.cdc.gov/physicalactivity/index.html. Updated March 22, 2022. Accessed February 17, 2020.
Physical activity. Centers for Disease Control and Prevention. https://www.cdc.gov/physicalactivity/index.html. Updated March 22, 2022. Accessed February 17, 2020.
Physical inactivity. America's health rankings analysis of CDC, Behavioral Risk Factor Surveillance System. United Health Foundation. https://www.americashealthrankings.org/explore/annual/measure/Sedentary/state/ALL. Accessed April 4, 2022.
Physical inactivity. America's health rankings analysis of CDC, Behavioral Risk Factor Surveillance System. United Health Foundation. https://www.americashealthrankings.org/explore/annual/measure/Sedentary/state/ALL. Accessed April 4, 2022.
Health Resources and Services Administration, HHS. Using health text messages to improve consumer health knowledge, behaviors, and outcomes: an environmental scan. Rockville, MD: Health Resources and Services Administration, HHS. https://www.hrsa.gov/sites/default/files/archive/healthit/txt4tots/environmentalscan.pdf. Published May 2014. Accessed April 4, 2022.
Physical activity. Centers for Disease Control and Prevention. https://www.cdc.gov/physicalactivity/index.html. Updated March 22, 2022. Accessed February 17, 2020.
Physical activity. Healthy People 2020, HHS, Office of Disease Prevention and Health promotion. https://www.healthypeople.gov/. Updated February 6, 2022. Accessed February 6, 2020.
Fitbit. https://www.fitbit.com/global/us/home. Accessed April 4, 2022.
- Eyler AA
- Brownson RC
- Donatelle RJ
- King AC
- Brown D
- Sallis JF
METHODS
Study Population

Fitbit. https://www.fitbit.com/global/us/home. Accessed April 4, 2022.
Centers for Disease Control and Prevention. https://www.cdc.gov/. Accessed June 16, 2021.
Fitbit. https://www.fitbit.com/global/us/home. Accessed April 4, 2022.
Remind. https://www.remind.com/. Accessed April 4, 2022.
Centers for Disease Control and Prevention. https://www.cdc.gov/. Accessed June 16, 2021.
Measures
Healthy weight, nutrition, and physical activity. Centers for Disease Control and Prevention. http://www.cdc.gov/healthyweight/index.html. Updated January 11, 2021. Accessed April 4, 2022.
Perreault L. Obesity in adults: prevalence, screening, and evaluation. Philadelphia, PA: Wolters Kluwer Health. www.uptodate.com. Published 2022. Accessed April 4, 2022.
Fitabase. https://www.fitabase.com/. Accessed April 4, 2022.
Statistical Analysis
RESULTS
Variables | Intervention group (n=15) | Control group (n=15) | t statistic (χ2) | p-value |
---|---|---|---|---|
Age, mean (SD) | 64.67 (2.87) | 65.33 (3.48) | −0.57 | 0.5715 |
Marital status, n (%) | (0.21) | 0.9760 | ||
Single | 4 (26.67) | 3 (20.00) | ||
Married | 7 (46.67) | 8 (53.33) | ||
Widowed | 1 (6.67) | 1 (6.67) | ||
Divorced | 3 (20.00) | 3 (20.00) | ||
Education level, n (%) | (4.04) | 0.6707 | ||
Attended high school | 1 (6.67) | 0 (0.00) | ||
High school graduate | 1 (6.67) | 1 (6.67) | ||
Some college | 3 (20.00) | 7 (46.67) | ||
Associate's degree | 2 (13.33) | 1 (6.67) | ||
Bachelor's degree | 5 (33.33) | 4 (26.67) | ||
Master's degree | 2 (13.33) | 2 (13.33) | ||
Doctoral degree | 1 (6.67) | 0 (0.00) | ||
Employment, n (%) | (8.89) | 0.1799 | ||
Full time | 2 (13.33) | 2 (13.33) | ||
Part time | 0 (0.00) | 1 (6.67) | ||
Retired but part time | 3 (20.00) | 0 (0.00) | ||
Fully retired | 7 (46.67) | 11 (73.33) | ||
Homemaker | 1 (6.67) | 0 (0.00) | ||
Unemployed | 0 (0.00) | 1 (6.67) | ||
Other | 2 (13.33) | 0 (0.00) | ||
Income, n (%) | (2.25) | 0.5226 | ||
$12,000–$14,999 | 0 (0.00) | 2 (13.33) | ||
$15,000–$19,999 | 1 (6.67) | 1 (6.67) | ||
$20,000–$29,999 | 3 (20.00) | 2 (13.33) | ||
≥$30,000 | 11 (73.33) | 10 (66.67) | ||
Waist circumference, mean (SD) | 42.73 (4.90) | 43.20 (5.82) | −0.24 | 0.8114 |
Weight, mean (SD) | 209.7 (32.76) | 212.3 (41.22) | −0.19 | 0.8516 |
BMI, mean (SD) | 34.52 (4.20) | 35.33 (5.96) | −0.43 | 0.6683 |
A1c, mean (SD) | 6.18 (2.18) | 6.39 (0.58) | −0.37 | 0.7175 |
Steps, mean (SD) | 6,207.85 (4,315.71) | 6,506.85 (3,480.18) | 0.15 | 0.8363 |
All participants | Participants with obesity | |||||
---|---|---|---|---|---|---|
Variable | Intervention group (n=15) | Control group (n=15) | Cohen's d (p-value) | Intervention group (n=12) | Control group (n=12) | Cohen's d (p-value) |
Waist circumference, mean (SD) | 1.79 (2.45) | 0.96 (1.83) | 0.38 (0.3010) | 2.16 (2.59) | 0.91 (2.04) | 0.54 (0.2030) |
Weight, mean (SD) | 1.80 (3.90) | 1.43 (5.69) | 0.08 (0.8384) | 2.50 (3.93) | 1.33 (6.04) | 0.23 (0.5802) |
HbA1c, mean (SD) | 0.11 (0.73) | 0.10 (0.39) | 0.01 (0.9679) | 0.01 (0.75) | 0.15 (0.37) | 0.24 (0.5702) |
Steps, mean (SD) | −736.71 (4,315.71) | 218.79 (3,480.18) | −0.24 (0.3581) | 1,556.89 (4,705.93) | 857.709 (1,932.19) | 0.19 (0.0431) |


DISCUSSION
- Patel RM
- Misra R
- Raj S
- Balasubramanyam A
U.S. Department of Health and Human Services. Physical activity guidelines for Americans. Washington, DC: U.S. Department of Health and Human Services. https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf. Published 2018. Accessed February 17, 2021.
Limitations
CONCLUSIONS
- Milat AJ
- Newson R
- King L
- et al.
ACKNOWLEDGMENTS
CRediT AUTHOR STATEMENT
SUPPLEMENT NOTE
REFERENCES
- Baseline assessment of the health status and health behaviors of African Americans participating in the activities-for-life program: a community-based health intervention program.J Community Health. 2004; 29: 305-318https://doi.org/10.1023/b:johe.0000025328.35205.cd
- Racial disparities in the risk of developing obesity-related diseases: a cross-sectional study.Ethn Dis. 2012; 22: 308-316
- Trends in obesity among adults in the United States, 2005 to 2014.JAMA. 2016; 315: 2284-2291https://doi.org/10.1001/jama.2016.6458
- Overcoming barriers to physical activity in underserved populations.Prog Cardiovasc Dis. 2021; 64: 64-71https://doi.org/10.1016/j.pcad.2020.11.002
- Health, United States.National Center for Health Statistics, Centers for Disease Control and Prevention, HHS, Hyattsville, MD2019 (Published 2021. Accessed March 19, 2021)
- Socioeconomic characteristics, dietary and lifestyle patterns, and health and weight status of older adults in NHANES, 1999-2002: a comparison of Caucasians and African Americans.J Nutr Elder. 2009; 28: 30-46https://doi.org/10.1080/01639360802633938
Overweight and obesity. Centers for Disease Control and Prevention. http://www.cdc.gov/obesity/index.html. Updated January 23, 2020. Accessed April 3, 2022.
- Expanding the obesity research paradigm to reach African American communities.Prev Chronic Dis. 2007; 4: A112
WHO. Risk reduction of cognitive decline and dementia: WHO guidelines. Geneva, Switzerland: WHO. https://www.ncbi.nlm.nih.gov/books/NBK542790/. Published 2019. Accessed April 3, 2022.
U.S. Department of Health and Human Services. Physical activity guidelines for Americans. Washington, DC: U.S. Department of Health and Human Services. https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf. Published 2018. Accessed February 17, 2021.
- Physical activity, all-cause and cardiovascular mortality, and cardiovascular disease.Med Sci Sports Exerc. 2019; 51: 1270-1281https://doi.org/10.1249/MSS.0000000000001939
- Risk factors for functional decline in older adults with arthritis.Arthritis Rheum. 2005; 52: 1274-1282https://doi.org/10.1002/art.20968
- Obesity in older adults OJIN:.Online J Issues Nurs. 2009; 14: 1-8https://doi.org/10.3912/OJIN.Vol14No1Man03
Physical activity. Centers for Disease Control and Prevention. https://www.cdc.gov/physicalactivity/index.html. Updated March 22, 2022. Accessed February 17, 2020.
Physical inactivity. America's health rankings analysis of CDC, Behavioral Risk Factor Surveillance System. United Health Foundation. https://www.americashealthrankings.org/explore/annual/measure/Sedentary/state/ALL. Accessed April 4, 2022.
- A phenomenological study of obesity and physical activity in southern African American older women.J Aging Phys Act. 2015; 23: 221-229https://doi.org/10.1123/japa.2013-0039
- Texting older sisters to step: the TOSS study.West J Nurs Res. 2019; 41: 388-408https://doi.org/10.1177/0193945918770784
- Utility of social cognitive theory in intervention design for promoting physical activity among African-American women: a qualitative study.Am J Health Behav. 2017; 41: 518-533https://doi.org/10.5993/AJHB.41.5.1
- Text messaging to motivate walking in older African Americans: a randomized controlled trial.Am J Prev Med. 2013; 44: 71-75https://doi.org/10.1016/j.amepre.2012.09.050
- Print versus a culturally relevant Facebook and text message delivered intervention to promote physical activity in African American women: a randomized pilot trial.BMC Womens Health. 2015; 15: 30https://doi.org/10.1186/s12905-015-0186-1
- The concept of scalability: increasing the scale and potential adoption of health promotion interventions into policy and practice.Health Promot Int. 2013; 28: 285-298https://doi.org/10.1093/heapro/dar097
- Predictors of older adults’ technology use and its relationship to depressive symptoms and well-being.J Gerontol B Psychol Sci Soc Sci. 2014; 69: 667-677https://doi.org/10.1093/geronb/gbt109
- Older adults’ use of information and communications technology in everyday life.Ageing Soc. 2003; 23: 561-582https://doi.org/10.1017/S0144686X03001302
- Tech trends of the 50+: Older adults keep pace on tech usage.AARP Research, Washington, DCJanuary 2020 (Published)
- Orientations in adolescent use of information and communication technology: a digital divide by sociodemographic background, educational career, and health.Scand J Public Health. 2007; 35: 95-103https://doi.org/10.1080/14034940600868721
- Mobile fact sheet.Pew Research Center, Washington, DCApril 7, 2021 (PublishedAccessed April 4, 2022)
Health Resources and Services Administration, HHS. Using health text messages to improve consumer health knowledge, behaviors, and outcomes: an environmental scan. Rockville, MD: Health Resources and Services Administration, HHS. https://www.hrsa.gov/sites/default/files/archive/healthit/txt4tots/environmentalscan.pdf. Published May 2014. Accessed April 4, 2022.
- Effective techniques in healthy eating and physical activity interventions: a meta-regression.Health Psychol. 2009; 28: 690-701https://doi.org/10.1037/a0016136
- How active are older Americans?.Prev Chronic Dis. 2007; 4: A53
- Texting older sisters to step (TOSS) using Fitbit to promote physical activity: a feasibility study.Innov Aging. 2021; 5 (–898): 898https://doi.org/10.1093/geroni/igab046.3261
- Health promotion by social cognitive means.Health Educ Behav. 2004; 31: 143-164https://doi.org/10.1177/1090198104263660
- Empowering Weight Loss Through the Psychosocial Benefits of Exercise.BlackBoxPublishers, Waalwijk, The Netherlands2017 (Accessed March 2, 2021)
- Social cognitive theory: an agentic perspective.Annu Rev Psychol. 2001; 52: 1-26https://doi.org/10.1146/annurev.psych.52.1.1
- Examining social-cognitive theory constructs as mediators of behaviour change in the active team smartphone physical activity program: a mediation analysis.BMC Public Health. 2021; 21: 88https://doi.org/10.1186/s12889-020-10100-0
Physical activity. Healthy People 2020, HHS, Office of Disease Prevention and Health promotion. https://www.healthypeople.gov/. Updated February 6, 2022. Accessed February 6, 2020.
Fitbit. https://www.fitbit.com/global/us/home. Accessed April 4, 2022.
- Physical activity social support and middle- and older-aged minority women: results from a U.S. survey.Soc Sci Med. 1999; 49 (10.1016/s0277-9536(99)00137-9): 781-789https://doi.org/10.1016/s0277-9536(99)00137-9
- Measuring social support for healthy eating and physical activity in obesity.Br J Health Psychol. 2018; 23: 1021-1039https://doi.org/10.1111/bjhp.12336
- Considerations in determining sample size for pilot studies.Res Nurs Health. 2008; 31: 180-191https://doi.org/10.1002/nur.20247
Centers for Disease Control and Prevention. https://www.cdc.gov/. Accessed June 16, 2021.
- Assessing the effects of interpersonal and intrapersonal behavior change strategies on physical activity in older adults: a factorial experiment.Ann Behav Med. 2017; 51: 376-390https://doi.org/10.1007/s12160-016-9863-z
Remind. https://www.remind.com/. Accessed April 4, 2022.
Healthy weight, nutrition, and physical activity. Centers for Disease Control and Prevention. http://www.cdc.gov/healthyweight/index.html. Updated January 11, 2021. Accessed April 4, 2022.
Perreault L. Obesity in adults: prevalence, screening, and evaluation. Philadelphia, PA: Wolters Kluwer Health. www.uptodate.com. Published 2022. Accessed April 4, 2022.
Fitabase. https://www.fitabase.com/. Accessed April 4, 2022.
- Effectiveness of the 5A’s model for changing physical activity behaviors in rural adults recruited from primary care clinics.J Phys Act Health. 2019; 16: 1138-1146https://doi.org/10.1123/jpah.2018-0477
- Effectiveness of a group-based culturally tailored lifestyle intervention program on changes in risk factors for type 2 diabetes among Asian Indians in the United States.J Diabetes Res. 2017; 20172751980https://doi.org/10.1155/2017/2751980
- Engineering online and in-person social networks for physical activity: a randomized trial.Ann Behav Med. 2016; 50: 885-897https://doi.org/10.1007/s12160-016-9814-8
- Measuring and influencing physical activity with smartphone technology: a systematic review.Sports Med. 2014; 44: 671-686https://doi.org/10.1007/s40279-014-0142-5
- Daily step counts for measuring physical activity exposure and its relation to health.Med Sci Sports Exerc. 2019; 51: 1206-1212https://doi.org/10.1249/MSS.0000000000001932
- How many steps/day are enough? For older adults and special populations.Int J Behav Nutr Phys Act. 2011; 8: 80https://doi.org/10.1186/1479-5868-8-80
- Obesity and the environment: where do we go from here?.Science. 2003; 299: 853-855https://doi.org/10.1126/science.1079857
- Impact of sleep and sleep loss on glucose homeostasis and appetite regulation.Sleep Med Clin. 2007; 2: 187-197https://doi.org/10.1016/j.jsmc.2007.03.004
- Sleep-obesity relation: underlying mechanisms and consequences for treatment.Obes Rev. 2017; 18: 34-39https://doi.org/10.1111/obr.12499
- Effects of poor and short sleep on glucose metabolism and obesity risk.Nat Rev Endocrinol. 2009; 5: 253-261https://doi.org/10.1038/nrendo.2009.23
- Fruit and vegetable intake and population glycosylated haemoglobin levels: the EPIC-Norfolk Study.Eur J Clin Nutr. 2001; 55: 342-348https://doi.org/10.1038/sj.ejcn.1601162
- How we design feasibility studies.Am J Prev Med. 2009; 36: 452-457https://doi.org/10.1016/j.amepre.2009.02.002
- A guide to scaling up population health interventions.Public Health Res Pract. 2016; 26e2611604https://doi.org/10.17061/phrp2611604
Article Info
Footnotes
This article is part of a supplement entitled Obesity-Related Health Disparities: Addressing the Complex Contributors, sponsored by the National Institute on Minority Health and Health Disparities (NIMHD), part of the National Institutes of Health (NIH), an agency of the U.S. Department of Health and Human Services (HHS).
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