|
|
Volume
7: No. 2, March 2010
ORIGINAL RESEARCH
Pedometer Use Among Adults at High Risk of Type 2 Diabetes, Finland, 2007-2008
Eveliina E. Korkiakangas, MNSc; Maija A. Alahuhta, MNSc, Päivi M. Husman, MSocSc; Sirkka Keinänen-Kiukaanniemi; Anja M. Taanila; Jaana H. Laitinen, PhD, MSc
Suggested citation for this article: Korkiakangas
EE, Alahuhta MA, Husman PM, Keinänen-Kiukaanniemi S, Taanila AM, Laitinen
JH. Pedometer use among adults at high risk of type 2 diabetes, Finland,
2007-2008. Prev Chronic Dis 2010;7(2):A37.
http://www.cdc.gov/pcd/issues/2010/ mar/09_0035.htm. Accessed [date].
PEER REVIEWED
Abstract
Introduction
A pedometer helps adults exercise more, but sedentary adults need instruction
and advice to be motivated to use one.
We conducted this qualitative study to describe the experiences of participants at high risk of type 2 diabetes who began using a pedometer.
Methods
A total of 74 people at high risk of type 2 diabetes participated in 6 months of group counseling. From April 2007 to April 2008, we collected data through questionnaires, theme interviews (n = 22) and video recordings of counseling sessions.
From October 2007 through June 2008, we analyzed the data.
Results
Pedometers were useful tools for observing levels of exercise, setting personal goals for walking, and helping evaluate whether daily goals were met. Negative experiences were associated with functional failures, pedometers’ unsuitability for exercise other than walking, and the goal of 10,000 steps, which some participants considered too high.
Conclusions
Sedentary adults can be motivated to use a pedometer if we inform them that regular users find it a useful instrument for increasing their level of exercise.
These adults should set realistic goals for walking and receive adequate instructions for using pedometers.
Back to top
Introduction
Pedometers monitor the number of steps taken in a day (1,2). The use of a pedometer has been shown to increase physical activity among
sedentary populations (3-7). Walking is an excellent way
for most inactive people to begin regular exercise (8). The Finnish Diabetes Prevention Study demonstrated that people at high risk of type 2 diabetes who walked 2.5 hours or more
per week were 63% to 69% less likely to develop diabetes than were those who walked less than 1 hour
per week (9). Regular exercise can prevent type 2 diabetes (10-13).
Although using a pedometer seems to motivate people to exercise more (14,15),
we do not know how to motivate people to use one. Knowledge of the experiences of inactive adults who have used a pedometer increases the effectiveness of counseling, but few previous studies on this issue exist (2,14).
We describe the experiences of a group of sedentary adults at high risk of type 2 diabetes who began
using a pedometer, in particular the factors that encouraged or discouraged regular exercise.
Back to top
Methods
Study design
We conducted a follow-up study of 74 people at high risk of type 2 diabetes. Five videoconferencing and 6 face-to-face groups were organized (5-9 participants in each group). The participants of the videoconferencing groups gathered in the meeting room of the health care center at their place of residence (5 groups in 4 localities) 80 to 100 km from the counselor, who was in a city in
northern Finland. In face-to-face groups, the
counselor and participants were in the same room in the city. They participated in the 6-month group counseling process, which included five 90-minute group sessions, four at 2-week intervals and the fifth at 6 months from baseline. The participants completed a questionnaire, and blood samples were taken at baseline and at 6 months. Data were collected from April 2007 through April 2008 and analyzed from October 2007 through June 2008. The study was approved by the
ethics committee of the Hospital
District of Helsinki and Uusimaa.
Study participants
A total of 74 people (33 men and 41 women, mean age 49 years) at high risk of type 2 diabetes were recruited from occupational or primary health care by nurses and doctors. Nurses or doctors interviewed people at high risk of type 2 diabetes who were eligible to take part in this counseling study if they were motivated and fulfilled the inclusion criteria. The
participants had to be willing to participate; they had to score 15 points or
more in the diabetes risk test score (16) or 12 points if they had a risk of
work disability as assessed by an occupational nurse or doctor or if they had
had an elevated fasting blood glucose level or an impaired glucose tolerance
test result during the last 12 months. People with poor control of depression or
who were taking medication for other mental problems or those with severe crises
in their life were excluded. Participants received oral and written information
on the study, and they gave their written consent. The counselor repeated the
information at the beginning of counseling, and participants agreed to
confidentiality.
Content of exercise intervention
A clinical nutritionist provided counseling in 55 group sessions. The exercise intervention constituted a minor part of the group counseling. The overall aim of the counseling was to improve the participants’ skills and solutions for controlling their eating and body weight and to increase their level of exercise. In addition, information about health habits that can prevent type 2 diabetes was provided. The counselor informed the group about the results of the Finnish Diabetes
Prevention Study, which found that type 2 diabetes can be prevented through lifestyle changes. The counselor explained the reasons behind the positive
effect of exercise on metabolism. At the first group session, the counselor presented each participant with an Omron Walking Style II pedometer
(OMRON Corporation, Kyoto, Japan). Before the fourth session, the participants were asked to do voluntary homework related to exercise. They were asked to exercise with a family member or friend and to record the time spent on exercise
and the number of steps taken during the week. The fourth session started with pair discussions regarding homework: Did they exercise with a friend or a family member? How much did they exercise during last week? What kind of day included 10,000 steps? How can an exercise diary help one to change exercise habits? In addition, during every group session, the participants began several discussions about exercise.
Level of exercise
The level of exercise was reported in means and 95% confidence intervals of weekly energy expenditure in the metabolic equivalent task-hours (MET-hours). We obtained data on exercise level by using a questionnaire that participants completed at baseline and at 6 months. Structured questions regarding frequency (a 6-point scale from once a month or more rarely, to daily) and duration (a 6-point scale from 0 to more than 1.5 hours) of light (3 as a MET coefficient) and moderate to vigorous
exercise (6 as a MET coefficient) were included in a questionnaire. MET-hours were also calculated (17). Because of nonresponse for some items of the MET-hour questions, MET-hours could be calculated for only 54
participants at both 0 and at 6 months. At the 6-month follow-up, the frequency of using a pedometer and its effects on the level of exercise were also included in the questionnaire.
The paired samples t test was used to test the significance of the change in MET-hours between 0 and 6 months, whereas a t test for independent samples or analysis of variance was used to test the difference in MET-hours between groups. The analyses were performed by using SPSS
version 15.0 (SPSS, Inc, Chicago, Illinois). The number of steps taken was not available for the analyses because pedometers were given during the first counseling session, and baseline
information was collected before the first group session.
Data on experiences of pedometer use
The qualitative data on the experiences were gathered from 22 theme interviews and 54 video-recorded group counseling sessions. Discussions on participants’ experiences with using a pedometer during group counseling sessions (n = 54) were sampled from the video-recordings (81.5 hours). Discussions and individual
statements were transcribed verbatim.
For the theme interviews, 2 people were selected randomly from each of the 11 counseling groups. The following questions were used in the theme interview: 1) Have you used the pedometer? 2) What are your experiences with using the pedometer? 3) Do you think that using the pedometer influenced your level of exercise?
4) If yes, please describe how. 5) Please describe why. We also audiorecorded and transcribed interviews.
We analyzed the qualitative data by inductive content analysis (18,19) with the help of QSR NVivo
version 7 (QSR International Pty Ltd, Melbourne, Australia) (20). First, all
statements on experiences using the pedometer were sampled from the video-recording and transcribed interviews. Second, we read transcripts and watched the videotapes several times. Third, we extracted salient
statements from the text. Finally, statements with the same meaning were grouped into subcategories
and main categories, which were named according to their content.
Back to top
Results
Participants’ level of exercise varied by demographic characteristics. The level of exercise was low at the beginning but increased significantly from 0 to 6 months.
Mean levels of exercise between the videoconferencing group and face-to-face group
did not differ at baseline or at 6 months, and thus, the groups were combined in further analyses. Of the
participants (n = 74) who responded to a question about frequency of pedometer use, 46% reported using the
pedometer regularly at least once per week, and their MET-hours increased significantly during the 6-month follow-up (P = .02).
At 6 months, mean MET-hours for regular users and those who used the pedometer occasionally or not at all (P = .005) were significantly different. No significant sex difference in using the pedometer existed. Of the participants, 36% claimed that using the pedometer had increased their level of exercise. Their MET-hours increased significantly
after 6 months (P = .01), and their mean MET-hours were significantly (P < 0.001) higher than those of participants who
reported that using the pedometer had not increased their level of exercise at 6 months.
We present the results from qualitative data analysis by main categories, subcategories, and by using the participants’ own remarks as examples
(Appendix).
Back to top
Discussion
This study describes the experiences of inactive participants at high risk of
type 2 diabetes who used a pedometer during a 6-month group counseling process
to promote lifestyle changes. Participants saw the pedometer as a source of feedback on their exercise. It provided immediate feedback on the amount of exercise in
steps, aerobic steps (>60 steps/minute), kilometers, walking time, and calories.
By monitoring their walking, the participants noted improvements in their
physical capacity, which in turn motivated them to exercise more. Some
participants particularly monitored the steps taken during a workday, and many
were surprised by the low number of steps recorded.
Using the pedometer made it easier to set personal exercise goals. These goals included increasing the amount of exercise, exercising regularly, and exercising daily. Some participants tried to increase the number of steps taken per day, whereas others pursued the goal of a minimum of 10,000 steps daily. Using the pedometer helped people exercise more regularly. More
active participants were motivated to further increase their exercise. Participants
found that achieving a certain number of steps made them want to increase their goal. The pedometer
motivated sedentary people to exercise more.
The pedometer was not appropriate for all. Some were disappointed because of technical problems. Moreover, the 10,000-step recommendation for daily exercise was considered too difficult to achieve. In these cases, the pedometer did not increase motivation to exercise.
Several arguments can motivate inactive adults to use a pedometer. First, using the pedometer helps
people monitor their own level of exercise easily, set goals, and track their
progress. Second, to avoid negative experiences, users could be taught to use
the pedometer correctly. Third, a proportional increase in the number of steps as a personal daily goal should be discussed to avoid the disappointment of not reaching the difficult target of 10,000 steps.
Good instructions for using the pedometer are essential because functional errors were a barrier to its use. The effects of the pedometer’s functional errors on the physical activity of users were previously uncertain (21). Only a few negative experiences with using a pedometer arose during group sessions and theme interviews, although less than half of the participants (46%) used the pedometer regularly at the end of the process.
Others may not have been encouraged to
highlight negative experiences, may have had a neutral attitude, or may not have used a pedometer at all, and thus had no negative experiences to report.
A limitation of this study often seen in qualitative studies is the small sample size, which prevents the results from being applicable to all exercisers. Another limitation is that we were not able to use objective measures of physical activity. Some participants were inactive even at 6 months, although they might have overreported their level of exercise on the questionnaires (22). We based the main study results on qualitative data collected by videorecordings from group sessions
and by theme interviews, which improved the scope of the data. The atmosphere during counseling sessions and interviews was relaxed, and participants knew that all conversations were confidential. During group sessions, everyone had the opportunity to participate in
the discussion and to express opinions, experiences, and feelings, although some were quiet. Qualitative analysis has been described as accurately as possible. Many situation-specific factors also influenced group discussions (eg, age
and sex of participants, the counselor’s role, group type [videoconferencing/face-to-face], the content of the intervention, and the counseling methods). These factors have been documented and taken into account in the interpretation of results. Nevertheless, positive experiences might be exaggerated.
Experiences with using the pedometer were mainly positive. The pedometer
promoted exercise and was considered effortless, easy to use, and its
features were easily adopted. The pedometer helped participants keep track
of their amount of exercise and find situations in which it was easier to attain the required number of steps and situations in
which it was easy to increase the number of daily steps.
Back to top
Acknowledgments
This study was funded by the Academy of Finland (grant no. 118176).
Back to top
Author Information
Corresponding Author: Eveliina Korkiakangas, MNSc, Finnish Institute of Occupational Health, Aapistie 1, 90220 Oulu, Finland. Telephone: 358-40-50-40-116. E-mail:
eveliina.korkiakangas@ttl.fi.
Author Affiliations: Maija A. Alahuhta, Jaana H Laitinen, Finnish Institute of Occupational Health, Oulu, Finland; Päivi M. Husman, Finnish Institute of Occupational Health, Helsinki, Finland; Sirkka Keinänen-Kiukaanniemi,
University of Oulu, Oulu University Hospital and Health Centre of Oulu, Oulu, Finland; Anja M. Taanila, University of Oulu, Oulu University Hospital, Oulu, Finland.
Back to top
References
- Bravata DM, Smith-Spangler C, Sundaran V, Gienger AL, Lin N, Lewis R, et al.
Using pedometers to increase physical activity and improve health. A systematic review. JAMA 2007;298(19):2296-304.
- Lauzon N, Chan CB, Myers AM, Tudor-Locke C.
Participant experiences in a workplace pedometer-based physical activity program. J Phys Act Health 2008;5:675-87.
- Clarke KK, Freeland-Graves J, Klohe-Lehman DM, Milani TJ, Nuss HJ, Laffrey S.
Promotion of physical activity in low-income mothers using pedometers. J Am Diet Assoc 2007;107(6):962-7.
- Chan CB, Ryan DA, Tudor-Locke C.
Health benefits of a pedometer-based physical activity intervention in sedentary workers. Prev Med 2004;39(6):1215-22.
- DeCocker KA, DeBourdeaudhuij IM, Cardon GM.
The effect of pedometer use in combination with cognitive and behavioral support materials to promote physical activity. Patient Educ Couns 2008;70:209-14.
- Swartz AM, Strath SJ, Bassett DR, Moore JB, Redwine BA, Groer M, et al.
Increasing daily walking improves glucose tolerance in overweight women. Prev Med 2003;37(4):356-62.
- Aittasalo M, Miilunpalo S, Kukkonen-Harjula K, Pasanen M.
A randomized intervention of physical activity promotion and patient self-monitoring in primary health care. Prev Med 2006;42(1):40-6.
- Lee I-M, Buchner DM.
The importance of walking to public health. Med Sci Sports Exerc 2008;40(7 Suppl):S512-8.
- Laaksonen DE, Lindström J, Lakka T, Eriksson JG, Niskanen L, Wikström K, et al.
Physical activity in the prevention of type 2 diabetes. The Finnish prevention study. Diabetes 2005;54:158-65.
- Tuomilehto J, Lindström J, Eriksson JG, Valle TT, Hämäläinen H, Ilanne-Parikka P, et al.
Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. New Engl J Med 2001;344:1343-50.
- Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al.
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002;346:393-403.
- Kosaka K, Noda M, Kuzuya T.
Prevention of type 2 diabetes by lifestyle intervention: a Japanese trial in IGT males. Diabetes Res Clin Pract 2005;67:152-62.
- Lindstrom J, Ilanne-Parikka P, Peltonen M, Aunola S, Eriksson JG, Hemiö K, et al.
Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study. Lancet 2006;368:1673-9.
- Heesch KC, Dinger MK, McClary KR, Rice KR.
Experiences of women in a minimal contact pedometer-based intervention: a qualitative study. Women Health 2005;41(2):97-116.
- Araiza P, Hewes H, Gashetewa C, Vella CA, Burge MR.
Efficacy of a pedometer-based physical activity program on parameters of diabetes control in type 2 diabetes mellitus. Metabolism 2006;55:1382-7.
-
Lindström J, Tuomilehto J.
The diabetes risk score. A practical tool to predict type 2 diabetes risk. Diabetes Care 2003;26(3):725-31.
- Hu FB, Siga RJ, Rich-Edwards J, Colditz GA, Solomon CG, Willett WC, et al.
Walking compared with vigorous physical activity and risk of type 2 diabetes in women: a prospective study. JAMA 1999;282:1433-9.
- Graneheim UH, Lundman B.
Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Educ Today 2004;24(2):105-12.
- Elo S, Kyngäs H.
The qualitative content analysis process. J Adv Nurs 2008;62:107-15.
- Richards L. Handling qualitative data: a practical guide. London (GB): Sage; 2005.
- Dietz WH.
Canada on the Move: a novel effort to increase physical activity among Canadians. Can J Public Health 2006;97
Suppl 1:S3-4.
- Tammelin T. Physical activity from adolescence to adulthood and health-related fitness at age 31. Cross-sectional and longitudinal analyses of the Northern Finland birth cohort of 1966 [dissertation]. Oulu (FI): University of Oulu Faculty of Medicine; 2003.
Back to top
|
|