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Increasing physical activity in postpartum multiethnic women in Hawaii: results from a pilot study
© Albright et al; licensee BioMed Central Ltd. 2009
Received: 13 July 2008
Accepted: 03 March 2009
Published: 03 March 2009
Mothers of an infant are much less likely to exercise regularly compared to other women. This study tested the efficacy of a brief tailored intervention to increase physical activity (PA) in women 3–12 months after childbirth. The study used a pretest-posttest design. Sedentary women (n = 20) were recruited from a parenting organization. Half the participants were ethnic minorities, mean age was 33 ± 3.8, infants' mean age was 6.9 ± 2.4 months, 50% were primiparas, and mean body mass index was 23.6 ± 4.2.
The two-month intervention included telephone counseling, pedometers, referral to community PA resources, social support, email advice on PA/pedometer goals, and newsletters.
The primary outcome of the study was minutes per week of moderate and vigorous leisure-time physical activity measured by the Godin physical activity instrument.
All women (100%) returned for post-test measures; thus, paired t-tests were used for pre-post increase in minutes of moderate and vigorous leisure-time physical activity and comparisons of moderate and vigorous leisure-time physical activity increases among ethnic groups. At baseline participants' reported a mean of 3 ± 13.4 minutes per week moderate and vigorous leisure-time physical activity. At post-test this significantly increased to 85.5 ± 76.4 minutes per week of moderate and vigorous leisure-time physical activity (p < .001, Cohen's d = 2.2; effect size r = 0.7). There were no differences in pre to post increases in minutes of moderate and vigorous leisure-time physical activity among races.
A telephone/email intervention tailored to meet the needs of postpartum women was effective in increasing physical activity levels. However, randomized trials comparing tailored telephone and email interventions to standard care and including long-term follow-up to determine maintenance of physical activity are warranted.
Young adult women, especially ethnic minority women, are at high risk for physical inactivity, or significant reductions in pre-pregnancy levels of physical activity (PA) following childbirthw. [1–4] Although guidelines indicate that most women can gradually resume or start PA 4–6 weeks postpartum , few women do. In a multiethnic sample of women, a significantly higher proportion (43.0%, p < 0.0003) of mothers were active before the pregnancy but inactive or irregularly active following childbirth; 21.5% were inactive before and after childbirth; 22.7% were active before and after childbirth; and 12.6% were inactive before but increased their PA after childbirth. A study that followed primarily white women from early pregnancy to one year postpartum found similar percentages of women who reported rarely or never exercising one year postpartum.
Few PA intervention studies have been tailored to postpartum women. However, a pilot study used stage-based materials, dervived from the Transtheoretical Model (TTM), along with four structured bi-weekly provider-delivered telephone contacts to increase PA in low-income women participating in the Women, Infants, and Children program (WIC). [7, 8] The study sample consisted of largely of white (90%), married (66%), young (26.5 years), employed (70%) women. Results showed a significant increase in minutes of physical activity and energy expenditure after eight weeks of physical activity counseling.[7, 8] Another exercise program to reduce post partum depression demonstrated improved fitness levels after 12-weeks of a walking program. However, little has been done to improve PA in mothers of an infant less than 12 months of age, especially ethnic minority women.
Social Cognitive Theory (SCT) and TTM form the theoretical foundation for most physical activity interventions. Interventions using their constructs have been found to be effective with a wide-range of age groups, income levels, and ethnic groups.[7, 10–15] SCT and TTM emphasize the development of behavioral skills by facilitating cognitive and behavioral processes via methods such as: stage-based materials, mediated support and counseling (via mail/telephone), goal setting, and skills-building classes.[11, 15–23]
Prior to this pilot study, the authors conducted focus groups with 79 postpartum women to identify: 1) barriers to being physically active; 2) factors that facilitated a increase in physical activity; 3) exercise related resources or information that would help motivate women to become more active; and 4) postpartum women's receptivity to receiving SCT/TTM constructs such as telephone counseling revolving around short-term goals to increase their physical activity. Based on the results from the focus groups the authors developed a SCT/TTM-based physical activity intervention, that included telephone counseling which was tailored to postpartum women. The purpose of this pilot study was to test the efficacy of this intervention to increase minutes per week of moderate to vigorous leisure-time physical activity (MVLPA) over two months.
Participants were recruited from Baby Hui, a non-profit organization that educates new mothers about infant care and parenting. A recruitment announcement was placed in Baby Hui's email listserve/newsletter. Inclusion criteria were sedentary (i.e., not doing more than 30 minutes a week of moderate or vigorous physical activity), 18–45 years of age, postpartum 3 months to 12 months, free of chronic diseases, not pregnant, and free of medical conditions that would limit moderate intensity PA.
Thirty-nine women were screened for eligibility. Five were ineligible at screening, and 20 (59%) were enrolled. Reasons for ineligibility included being too active (n = 2), infant was too old (n = 2), and unable to do aerobic exercise (n = 1). Fourteen of the screened women were not enrolled due to illness, scheduling problems, travel, or unidentified reasons.
Participants were enrolled at the Cancer Research Center of Hawaii's office, which is centrally located on the island of Oahu. The baseline and endpoint visits typically took between 30 and 40 minutes to complete and took place at the Center's office.
Physical Activity Intervention Components
Theory-Based Mediators of Behavior Change
Setting and achieving a series of realistic short-term goals to produce multiple success experiences
Identify barriers to regular physical activity and develop ways to overcome them
c. Outcomes expectancy
Develop a realistic expectancies about the benefits of regular physical activity
d. Perceived benefits
Identify benefits of being active (e.g., more energy)
CDs and DVDs to dance with infant and other children
e. Enjoyable activities
Select enjoyable activities and do them in comfortable settings
Feedback about Pedometer steps
Record minutes of daily physical activity or pedometer steps; receive regular feedback on progress
Support for physical activity
Guide women to ask family, friends, co-workers to assist with, or participate in, activities
Newsletters with tip sheets
Receive support & assistance from health educator
Tips on partner support
a. Access to facilities
Provide women with list of resources that list local physical activity facilities such as health clubs, walking & biking trails, stroller-friendly parks
b. Access to resources that promote activity
Newsletters with resource information
c. Access to programs
Inform women about local activity-related events for families/women to be active
Referral to physical activity websites
Stages of change
Use intervention methods appropriate to stage of change
Assess readiness to change or increase physical activities; provide relevant information or skills
SCT/TTM methods were delivered during telephone counseling calls and were incorporated into print materials (tip sheets and newsletters) given to participants. At the baseline visit, participants had an individualized counseling session with the health educator. During this visit the health educator discussed the woman's personal benefits and barriers to physical activity, helped her problem solve her most significant barrier(s), negotiated her first physical activity goal, and set the time for her telephone calls. The telephone counseling was designed to provide regular, credible, individualized counseling. This was accomplished through the use of structured protocols (similar to a script) health educators were trained to follow and that have been shown to be effective in previous studies.[11, 14, 33, 34] The telephone contacts set short-term physical activity goals in order to increase self-efficacy, evaluated success in meeting physical activity goals, problem solved social/environmental barriers to adherence, discussed future barriers and plans to effectively cope with them, and provided reinforcement and social support for physical activity (see Table 1). Specific information about physical activity or community resources were emailed afterwards, as appropriate. The schedule for telephone calls was once a week over the 2 month period. To encourage self-monitoring, women were given a pedometer (New Lifestyles NL-1000) a small, lightweight device that is clipped onto a belt or waistband and provides an objective measure of the number of steps accumulated each day. [35–37] Participants were instructed to write down their weekly minutes of activity and the number of daily steps on a calendar (provided to them at the baseline visit). During the first few minutes of each telephone counseling call, the health educator asked a woman how many steps she had accumulated each day over the previous week, then provided her with supportive feedback regarding attainment of her physical activity/daily steps goal, problem solved barriers to increasing the number of daily steps or minutes of physical activity, and helped the woman to set her next weekly goal.
Prior to recruiting any participants the first author (CLA) developed intervention materials tailored to new mothers and created structured guides telephone contacts that included checklists of items to be covered and scripts for how to address specific SCT/TTM constructs during a telephone call. She also developed detailed training manuals that highlighted common physical activity barriers and how to use motivational interviewing techniques to help a woman problem solve solutions to overcoming them.  The health educators used in this pilot study were two women who had a bachelor's degree and received instruction over a period of three months on how to follow the specific protocols for telephone- based physical activity counseling, and how to help new mothers set safe, realistic weekly incremental physical activity goals. The health educators were also trained to teach women behavioral skills that would help them become more active. The first author (CLA) has used similar methods to train the health educators from the three national sites that participated in the Activity Counseling Trial. 
Several strategies were used to monitor the health educators' adherence to counseling protocols, and to provide ongoing feedback and training, as necessary. For example, the health educators used an intervention tracking system (via an electronic spreadsheet) to document a woman's weekly physical activity goal, her progress in achieving her goals, the number of pedometer steps she accumulated each week, and her specific barriers to increasing physical activity. This physical activity data was reviewed during weekly staff meetings. Fidelity to the intervention protocols was monitored via the review of audiotapes of telephone calls and review of information sent to a woman via email.
Participants completed a consent form, a questionnaire and had physiological assessments at baseline and 8–9 weeks later. The University of Hawaii's Human Subjects Committee approved study surveys and protocols. All of the participants provided endpoint data. A $30 gift certificate to a local shopping mall was provided at the end of the study.
Physical Activity Measure
Respondents reported the number of days per week and minutes per day of moderate and vigorous leisure-time physical activity (MVLPA) at three intensity levels: 1) strenuous or vigorous activity (i.e., makes your heart beat quickly, makes you sweat); 2) moderate activity (i.e., doesn't make you tired, but makes you sweat a little); or 3) mild activity (i.e., takes little effort and doesn't make you sweat).[39, 40] Reliability and validity of this measure is comparable to nine other self-report measures of exercise. Minutes per week of moderate and vigorous activity were summed to create total minutes per week of MVLPA at baseline and endpoint.
Barriers to Physical Activity
Respondents were asked to rate how much certain factors or psychosocial issues prevented or stopped them from being physically active. Each issue or barrier was rated on a likert style scale ranging from 1 to 5, with 1 = never, 3 = sometimes and 5 = very often (i.e., a higher score means the barrier frequently prevents the woman from being active). The barriers included feeling "self-conscious about her looks", "parenting duties" "not having time", "being too tired", "having no energy", "bad weather", and having "others discourage me".
Body Mass Index
Weight was measured in light indoor clothing, without shoes, and height was measured, without shoes, using a portable stadiometer. BMI was calculated as the weight in kilograms divided by height in meters squared.
Paired t-tests were used to test for significant changes in continuous variables such as the increase in minutes of MVLPA from baseline to endpoint. Secondary t-test analyses included a comparison of change in MVLPA between races (e.g., white versus all other races) and between primiparous and multiparous women. The Cohen's "d" statistic was used to calculate an effect size, which is a measure of the magnitude of a treatment effect and is independent of sample size.
Demographic Characteristics of sample
Mean age (SD)
32.9 ± 3.8 years
Years of formal Education
16.8 ± 2.6 years
Percent working full or part time
Mean age of infant (SD)
6.9 ± 2.4 months
Mean number Children (SD)
1.7 ± .8
Percent never smokers
23.6 ± 4.2
Mean number counselling contacts completed (SD) (total = 7)
5.8 ± 1.6
Physical Activity Results
At baseline an average of 3 ± 13.4 minutes per week of MVLPA were reported and none met the recommended levels for weekly PA. This demonstrated their sedentary status at enrollment. After two-months of a tailored intervention the women's MVLPA increased to 85.5 ± 76.4 minutes per week (p < .001, Cohen's d = 2.2; effect size r = 0.7). The pre-post increases in minutes of MVLPA among ethnic groups, between women with an infant less than 6 months of age versus those with an infant older than six months, and between primiparous and multiparous women were all not significant. At endpoint 30% of the women met or exceeded national recommendations for 150 minutes per week of moderate or greater intensity physical activity. Over half (55%) had increases of 60 minutes or more of MVLPA per week.
Barriers to Physical Activity Results
As noted in Table 1 the intervention specifically addressed postpartum women's barriers to becoming more physically active. The mean score across all 12 barriers was 2.57 (1.4) at baseline and the mean score at endpoint was 2.31 (1.2). This represented a significant (p < .03) pre-post reduction in perceived barriers. This pre-post change was not significantly different across ethnic groups or between primiparous and multiparous women.
Feedback on intervention methods
At post-test participants provided anonymous feedback about the intervention. Over 75% found setting realistic weekly goals via the pedometer and receiving PA counseling from the health educators helped increase their PA. Over 80% were very satisfied with the amount of time they spent with the counselors, and 80% were satisfied with their PA progress during the intervention.
We successfully implemented a PA intervention to new mothers and their adherence to PA-related counseling contacts was high. Our tailored, home-based intervention was delivered though channels that are available and accessible to postpartum women: telephone and email. Postpartum women significantly increased MVLPA minutes over a two-month period. Our mean increase in minutes of MVLPA (82.5) was similar to change in minutes of PA reported in the WIC study (i.e., 88.2). However, our results include minutes of moderate and vigorous PA while only moderate PA minutes were reported in the WIC study. Our sample had more race/ethnic diversity than the WIC study since half of our sample consisted of ethnic minority women who were also slightly older (by seven years) than the largely white WIC sample.  Finally, our study incorporated the internet (via email) as a method of contacting extremely busy postpartum participants, in addition to the telephone counseling sessions. Our participants were very receptive to our intervention methods and found them to be helpful. Our findings provide initial evidence that theoretically grounded approaches can be effective in enhancing behavior change in a population that faces unique challenges to becoming more active.
A limitation of this study is its use of self reported PA that was not objectively validated via accelerometers or other physiological assessments. Also, our PA assessment focused on leisure-time physical activities, and thus, did not include certain household activities that could achieve moderate intensity levels (e.g., vacuuming). Similar to the WIC study, our participants had one face-to-face contact in addition to the telephone contacts. Although these visits were required to obtain informed consent for a research study, our results cannot separate out the utility of this initial visit from the telephone/email counseling interactions. Thus, our results cannot demonstrate how effective a tailored PA intervention, delivered entirely over the telephone or internet, would be on women's MVLPA.
Although half our women were from an ethnic minority, our sample consisted of a convenience sample of educated, primarily married, sedentary but healthy, young women. Our sample, thus, consisted of women with a higher social economic status (SES) relative to the WIC mothers in the Moms on the Move pilot study. [7, 8] Baby Hui members may respond differently to a tailored PA intervention compared to postpartum women from the same sociodemographic strata who are not members of a mother-baby support group. Thus, our results are only generalizable to similar populations of new mothers.
A physical activity intervention, tailored to postpartum women, effectively increased participants' physical activity levels. However, a randomized trial comparing tailored telephone and email interventions to standard care and following women for long-term maintenance of PA is warranted.
This research was supported by NCI grant P30 CA 71789 and an award from the Four Seasons Terry Fox Foundation. The authors want to thank Regina Suyderhoud, Leslie Welsh, Anne Marie Gumataotao, and Christy Betts, the Executive Director of Baby Hui for their assistance in recruiting and conducting this pilot study with Baby Hui mothers.
- Brown WJ, Trost SG: Life transitions and changing physical activity patterns in young women. American Journal of Preventive Medicine. 2003, 25 (2): 140-3. 10.1016/S0749-3797(03)00119-3.View ArticlePubMedGoogle Scholar
- Caspersen CJ, Pereira MA, Curran KM: Changes in physical activity patterns in the United States, by sex and cross-sectional age. Medicine and Science in Sports and Exercise. 2000, 32 (9): 1601-9.View ArticlePubMedGoogle Scholar
- Olson CM, Strawderman MS, Hinton PS, Pearson TA: Gestational weight gain and postpartum behaviors associated with weight change from early pregnancy to 1 y postpartum. International. 2003, 27 (1): 117-27.Google Scholar
- Treuth MS, Butte NF, Puyau M: Pregnancy-related changes in physical activity, fitness, and strength. Medicine and Science in Sports and Exercise. 2005, 37 (5): 832-7. 10.1249/01.MSS.0000161749.38453.02.View ArticlePubMedGoogle Scholar
- ACOG Committee on Obstetric Practice: ACOG Committee opinion. Number 267, January 2002: exercise during pregnancy and the postpartum period. Obstetrics and Gynecology. 2002, 99 (1): 171-3. 10.1016/S0029-7844(01)01749-5.View ArticleGoogle Scholar
- Albright CL, Maddock JE, Nigg CR: Physical activity before pregnancy and following childbirth in a multiethnic sample of healthy women. Women and Health. 2005, 42 (3): 95-110.View ArticlePubMedGoogle Scholar
- Fahrenwald NL, Atwood JR, Walker SN, Johnson DR, Berg K: A randomized pilot test of "Moms on the Move": a physical activity intervention for WIC mothers. Annals of Behavioral Medicine. 2004, 27 (2): 82-90. 10.1207/s15324796abm2702_2.View ArticlePubMedGoogle Scholar
- Fahrenwald NL, Walker SN: Application of the Transtheoretical Model of behavior change to the physical activity behavior of WIC mothers. Public Health Nursing. 2003, 20 (4): 307-17. 10.1046/j.1525-1446.2003.20408.x.View ArticlePubMedGoogle Scholar
- Armstrong K, Edwards H: The effectiveness of a pram-walking exercise programme in reducing depressive symptomatology for postnatal women. International Journal of Nursing Practice. 2004, 10 (4): 177-94. 10.1111/j.1440-172X.2004.00478.x.View ArticlePubMedGoogle Scholar
- Taylor WC, Baranowski T, Young DR: Physical activity interventions in low-income, ethnic minority, and populations with disability. American Journal of Preventive Medicine. 1998, 15: 334-343. 10.1016/S0749-3797(98)00081-6.View ArticlePubMedGoogle Scholar
- Albright CL, Pruitt L, Castro C, Gonzalez A, Woo S, King AC: Modifying Physical Activity in a Multiethnic sample of low-income Women: One-year results from the IMPACT (Increasing Motivation for Physical ACTivity) Project. Annals of Behavioral Medicine. 2005, 30 (3): 191-200. 10.1207/s15324796abm3003_3.View ArticlePubMedGoogle Scholar
- Simons-Morton DG, Morgan T, Haskell W, A King, Applegate W, Blair S, Albright CL, Cohen S, Ribisl P, O'Toole M, Shih J: Results of the Activity Counseling Trial: A randomized controlled trial of physical activity counseling in primary care. Journal of the American Medical Association. 2001, 286: 677-687. 10.1001/jama.286.6.677.View ArticleGoogle Scholar
- 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. Journal of the American Medical Association. 1999, 281: 327-334. 10.1001/jama.281.4.327.View ArticlePubMedGoogle Scholar
- King AC, Sallis JF, Dunn AL, Simons-Morton DG, Albright CA, Cohen S, Rejeski J, Marcus BH, Coday MC, for the Activity Counseling Trial Research Group: Overview of the Activity Counseling Trial (ACT) intervention for promoting physical activity in primary care settings. Medicine and Science in Sports and Exercise. 1998, 30: 1086-1096. 10.1097/00005768-199807000-00011.View ArticlePubMedGoogle Scholar
- Marcus BH, Bock BC, Pinto BM, Forsyth LH, Roberts MB, Traficante RM: Efficacy of an individualized, motivationally-tailored physical activity intervention. Annals of Behavioral Medicine. 1998, 20 (3): 174-180. 10.1007/BF02884958.View ArticlePubMedGoogle Scholar
- Bandura A: Social Cognitive Theory. Annals of Child Development. Edited by: Vasta R. 1989, Greenwich, CT: Jai Press, LTD, 6: 1-60.Google Scholar
- Krummel DA, Koffman DM, Bronner Y, Davis J, Greenlund K, Tessaro I, Upson D, Wilbur J: Cardiovascular health interventions in women: what works?. Journal of Women's Health and Gender-based Medicine. 2001, 10 (2): 117-136. 10.1089/152460901300039467.View ArticlePubMedGoogle Scholar
- Marcus BH, Dubbert PM, Forsyth LH, McKenzie TL, Stone EJ, Dunn AL, Blair SN: Physical activity behavior change: issues in adoption and maintenance. Health Psychol. 2000, 19 (1 Suppl): 32-41. 10.1037/0278-6133.19.Suppl1.32.View ArticlePubMedGoogle Scholar
- Collins R, Lee RE, Albright CL, King AC: Ready to be Physically Active? The Effects of a Course Preparing Low Income Multiethnic Women to be More Physically Active. Health Education & Behavior. 2004, 1-18. 11Google Scholar
- Marcus BH, Owen N, Forsyth LH, Cavill NA, Fridinger F: Physical activity interventions using mass media, print media, and information technology. American Journal of Preventive Medicine. 1998, 15: 362-378. 10.1016/S0749-3797(98)00079-8.View ArticlePubMedGoogle Scholar
- Chen AH, Sallis JF, Castro CM, Hickman SA, Lee RE: A home-based behavioral intervention to promote walking in sedentary ethnic minority women: Project WALK. Women's Health: Research in Gender, Behavior and Policy. 1998, 4: 19-39.Google Scholar
- Napolitano MA, Fotheringham M, Tate D, Sciamanna C, Leslie E, Owen N, Bauman A, Marcus B: Evaluation of an internet-based physical activity intervention: a preliminary investigation. Annals of Behavioral Medicine. 2003, 25 (2): 92-9. 10.1207/S15324796ABM2502_04.View ArticlePubMedGoogle Scholar
- McKay HG, King D, Eakin EG, Seeley JR, Glasgow RE: The diabetes network internet-based physical activity intervention: a randomized pilot study. Diabetes Care. 2001, 24 (8): 1328-34. 10.2337/diacare.24.8.1328.View ArticlePubMedGoogle Scholar
- Dishman RK, Buckworth J: Increasing physical activity: a quantitative analysis. Medicine and Science in Sports and Exercise. 1996, 28 (6): 706-719.View ArticlePubMedGoogle Scholar
- Dishman RK, Sallis JF: Determinants and interventions for physical activity and exercise, Physical activity, fitness, and health: International proceedings and consensus statement. Edited by: Bouchard C, Shephard RJ, Stephens T. 1994, Human Kinetics Publishers: Champaign, IL, 214-238.Google Scholar
- King AC, Blair SN, Bild DE, Dishman RK, Dubbert PM, Marcus BH, Oldridge NB, Paffenbarger RS, Powell KE, Yeager KK: Determinants of physical activity and interventions in adults. Medicine and Science in Sports and Exercise. 1992, 24 (supplement 6): S221-S236.PubMedGoogle Scholar
- Miller YD, Trost SG, Brown WJ: Mediators of physical activity behavior change among women with young children. Am J Prev Med. 2002, 23 (2 Suppl): 98-103. 10.1016/S0749-3797(02)00484-1.View ArticlePubMedGoogle Scholar
- McAuley E: The role of efficacy cognitions in the prediction of exercise behavior in middle-aged adults. J Behav Med. 1992, 15 (1): 65-88. 10.1007/BF00848378.View ArticlePubMedGoogle Scholar
- McAuley E, Courneya KS, Rudolph DL, Lox CL: Enhancing exercise adherence in middle-aged males and females. Preventive Medicine. 1994, 23: 498-506. 10.1006/pmed.1994.1068.View ArticlePubMedGoogle Scholar
- Eyler AA, Matson-Koffman D, Rohm Young D, Wilcox S, Wilbur J, Thompson JL, Sanderson BK, Evenson KR: Quantitative study of correlates of physical activity in women from diverse racial/ethnic groups: Women's Cardiovascular Health Network Project – introduction and methodology. Am J Prev Med. 2003, 25 (3 Suppl 1): 5-14. 10.1016/S0749-3797(03)00159-4.View ArticlePubMedGoogle Scholar
- Prochaska JO, Marcus BH: The Transtheoretical Model: Applications to Exercise, in Exercise Adherence II. Edited by: Dishman RK. 1994, Human Kinetics Books: Champaign, ILL, 161-180.Google Scholar
- Prochaska JO, DiClemente CC: Stages and processes of self-change in smoking: toward an integrative model of change. J Consulting Clin Psychol. 1983, 51: 390-395. 10.1037/0022-006X.51.3.390.View ArticleGoogle Scholar
- King AC, Haskell WL, Taylor CB, Kraemer HC, DeBusk RF: Group- versus home-based exercise training in healthy older men and women: A community-based clinical trial. Journal of the American Medical Association. 1991, 266: 1535-1542. 10.1001/jama.266.11.1535.View ArticlePubMedGoogle Scholar
- Albright CL, Castro C, Pruitt L, King A: Physical Activity increases across 12-months in multiethnic, low income women. Annals of Behavioral Medicine. 2002, 24 (Suppl): S153.Google Scholar
- Bassett DR, Ainsworth BE, Swartz AM, Strath SJ, O'Brien WL, King GA: Validity of four motion sensors in measuring moderate intensity physical activity. Med Sci Sports Exerc. 2000, 32 (9 Suppl): S471-80.View ArticlePubMedGoogle Scholar
- Tudor-Locke C, Ainsworth BE, Thompson RW, Matthews CE: Comparison of pedometer and accelerometer measures of free-living physical activity. Med Sci Sports Exerc. 2002, 34 (12): 2045-51. 10.1097/00005768-200212000-00027.View ArticlePubMedGoogle Scholar
- Crouter SE, Schneider PL, Bassett DR: Spring-levered versus piezo-electric pedometer accuracy in overweight and obese adults. Med Sci Sports Exerc. 2005, 37 (10): 1673-9. 10.1249/01.mss.0000181677.36658.a8.View ArticlePubMedGoogle Scholar
- Miller WR, Rollnick S: Motivational Interviewing: Preparing people for change. 2002, New York, NY: Guilford Press, 2Google Scholar
- Godin G, Shephard RJ: A simple method to assess exercise behavior in the community. Can J Appl Sport Sci. 1985, 10 (3): 141-6.PubMedGoogle Scholar
- Godin G, Valois P, Shephard RJ, Desharnais R: Prediction of leisure-time exercise behavior: a path analysis (LISREL V) model. J Behav Med. 1987, 10 (2): 145-58. 10.1007/BF00846423.View ArticlePubMedGoogle Scholar
- Jacobs DR, Ainsworth BE, Hartman TJ, Leon AS: A simultaneous evaluation of 10 commonly used physical activity questionnaires. Medicine and Science in Sports and Exercise. 1993, 25 (1): 81-91. 10.1249/00005768-199301000-00012.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6874/9/4/prepub
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