Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2015 Jan 1.
Published in final edited form as: Med Sci Sports Exerc. 2014 Jan;46(1):84–91. doi: 10.1249/MSS.0b013e3182a33010

Change in physical activity after a diabetes diagnosis: opportunity for intervention

KRISTIN L SCHNEIDER 1,*, CHRISTOPHER ANDREWS 2, KATHLEEN M HOVEY 3, REBECCA A SEGUIN 4, TODD MANINI 5, MICHAEL J LAMONTE 3, KAREN L MARGOLIS 6, MOLLY E WARING 7, YI NING 8, STACY SIMS 9, YUNSHENG MA 10, JUDITH OCKENE 10, MARCIA L STEFANICK 9, SHERRY L PAGOTO 10
PMCID: PMC4028702  NIHMSID: NIHMS512429  PMID: 23860414

Abstract

Introduction

Moderate intensity physical activity is recommended for individuals with diabetes to control glucose and prevent diabetes-related complications. The extent to which a diabetes diagnosis motivates patients to increase physical activity is unclear. This study used data from the Women’s Health Initiative Observational Study (baseline data collected from 1993-1998) to examine change in physical activity and sedentary behavior in women who reported a diabetes diagnosis compared to women who did not report diabetes over 7 years of follow-up (up to 2005).

Methods

Participants (n=84,300) were post-menopausal women who did not report diabetes at baseline [mean age=63.49; standard deviation (SD)=7.34; mean BMI=26.98 kg/m2; SD=5.67]. Linear mixed model analyses were conducted adjusting for study year, age, race/ethnicity, BMI, education, family history of diabetes, physical functioning, pain, energy/fatigue, social functioning, depression, number of chronic diseases and vigorous exercise at age 18. Analyses were completed in August 2012.

Results

Participants who reported a diabetes diagnosis during follow-up were more likely to report increasing their total physical activity (p=0.002), walking (p<0.001) and number of physical activity episodes (p<0.001) compared to participants who did not report a diabetes diagnosis. On average, participants reporting a diabetes diagnosis reported increasing their total physical activity by 0.49 MET-hours/week, their walking by 0.033 MET-hours/week and their number of physical activity episodes by 0.19 MET-hours/week. No differences in reported sedentary behavior change were observed (p=0.48).

Conclusion

A diabetes diagnosis may prompt patients to increase physical activity. Healthcare professionals should consider how best to capitalize on this opportunity to encourage increased physical activity and maintenance.

Keywords: type 2 diabetes, exercise, sedentary behavior, sedentary activity, Women’s Health Initiative

Introduction

Paragraph Number 1

A disease diagnosis may motivate health behavior changes in smoking cessation,(28) weight loss,(14, 28) reducing fat intake,(9) completing regular check-ups and improving diet.(18) Most studies of health behavior change following disease diagnoses focus on cancer [e.g. (15, 18)]. Few studies examine behavior change following a diagnosis of type 2 diabetes despite the fact that encouraging lifestyle changes are recommended for diabetes management.(2, 17)

Paragraph Number 2

Following a type 2 diabetes diagnosis, recommendations include achieving at least 150 minutes per week of moderate intensity aerobic activity and, if indicated, resistance training twice a week.(2) Physical activity is recommended to assist with glucose control, weight loss and to prevent diabetes-related complications, but whether patients with recently diagnosed diabetes change their physical activity in response to the diagnosis is unclear. One study of individuals diagnosed with type 2 diabetes reported that a shorter time since diagnosis was associated with greater increases in physical activity over six months.(42) As participants were diagnosed prior to inclusion in the study, it is unknown whether their physical activity changed as a result of the diabetes diagnosis or whether their greater level of activity reflected a previous habit. A large, prospective study of middle-aged and older adults reported that among those with higher education levels, more were engaging in physical activity following a diabetes diagnosis, while those with lower education levels were less likely to engage in physical activity after diagnosis.(38)

Paragraph Number 3

Physical activity recommendations include encouragement to reduce sedentary behavior.(17) Evidence has accumulated on the dangers of excessive sedentary behavior, regardless of physical activity level. Sedentary behavior has been associated with type 2 diabetes,(24) obesity(20, 24, 45) and mortality,(39) but it is unknown if a diabetes diagnosis prompts changes in sedentary behavior.

Paragraph Number 4

The present study aims to expand upon previous research by using the Women’s Health Initiative data to examine the relationship between change in physical activity and sedentary behavior for women reporting a new onset of diabetes compared to those not reporting diabetes. This prospective study reduces the bias often observed in studies of post-diagnosis behavior as physical activity data was collected annually for 9 years and not based on retrospective report. We hypothesize that women who report a diabetes diagnosis during follow-up will report increased physical activity and reduced sedentary behavior, compared to women who do not report a diabetes diagnosis. Additionally, we hypothesize that higher education and a family history of diabetes will be associated with greater increases in physical activity and greater reductions in sedentary behavior in women recently diagnosed with diabetes. We will further explore whether race/ethnicity modify the relationship between diabetes diagnosis and change in physical activity and sedentary behavior.

Methods

Procedures

Paragraph Number 5

The present study is a secondary data analysis within the Women’s Health Initiative (WHI). The WHI was a national, longitudinal study that enrolled 68,132 participants into three clinical trials and enrolled 93,676 participants into an observational study (WHI-OS) at 40 clinical centers across the U.S. from 1993-1998. The present study used data from the WHI-OS participants from baseline (1993-1998) and periodic follow-up assessments up to 2005. The design of the WHI has been described elsewhere.(32) New diabetes diagnosis, physical activity and sedentary behavior were collected repeatedly over approximately 7 years of follow-up and participant retention and data collection completion rates were >95%. The WHIOS study protocol was approved by the IRBs of WHI institutions and participants provided written informed consent. The University of Massachusetts Medical School IRB granted an exemption for the current study.

Participants

Paragraph Number 6

WHI-OS eligibility criteria included: postmenopausal woman, aged 50 to 79 years, reliable/mentally competent, and expected survival and local residency for at least 3 years. Exclusion criteria included current alcoholism, drug dependency and dementia, or other conditions that would limit full participation in the study. Since the present study aimed to examine change in physical activity and sedentary behavior after a diabetes diagnosis, participants with a history of diabetes diagnosis at baseline (n=3,902) were excluded from the analysis. In addition we excluded 5,474 participants who were missing baseline information on diabetes history (n=121), self-reported diabetes diagnosis during follow-up (n=602), physical activity at baseline (n=979) or all physical activity data during follow-up (n=3,772). The analytic sample included 84,300 participants, 90% of the WHI-OS sample.

Measures

Paragraph Number 7

Diabetes diagnosis

Diabetes at baseline was defined as a self-report of “ever having received a physician diagnosis of diabetes when not pregnant.” At each annual follow-up visit (years 1-9), participants reported whether a doctor prescribed pills or insulin shots for diabetes. Although self-reported diabetes cases were not adjudicated, self-reported diabetes was found to be a valid indicator of diagnosed diabetes in the WHI, as assessed using medication and laboratory data, though undiagnosed diabetes was likely missed.(35) This method was used in other WHI studies.(34, 50)

Paragraph Number 8

Physical activity

Physical activity during the past week was measured via a self-report questionnaire that demonstrated concurrent validity and test-retest reliability.(13, 36) For baseline and years 3-8, participants indicated the number of times per week and usual duration for walking, and for activities of mild intensity (e.g., slow dancing, bowling), moderate intensity (e.g., biking outdoors, using a treadmill) and vigorous intensity (e.g., aerobics, swimming laps). Frequency and duration data were converted to weekly energy expenditure (MET-hours/week) during walking, mild intensity exercise, moderate intensity exercise and vigorous intensity exercise. Total MET-hours/week was calculated by summing the MET-hours/week for walking, mild, moderate and vigorous intensity activity. The number of physical activity episodes that were 20 minutes or longer was also collected. All of these variables were examined as outcomes to examine whether physical activity change could be attributed to a particular type or intensity of activity. Annual change in each type of physical activity was calculated using difference scores (current year minus previous year).

Paragraph Number 9

Sedentary behavior

Sedentary behavior was assessed using the item for hours of sitting time which asked participants, “During a usual day and night, about how many hours do you spend sitting? Be sure to include the time you spend sitting at work, sitting at the table eating, driving or riding in a car or bus, and sitting up watching TV or talking.” This item demonstrated adequate test-retest reliability.(36) Responses were categorical and ranged from “less than 4 hours” to “16 or more hours.” The midpoint of each category was used to compute hours of sedentary behavior and used in statistical analyses. Participants answered this item at baseline, year 3 and year 6. Thus, change data was computed using difference scores at year 3 (year 3 minus baseline hours) and at year 6 (year 6 minus year 3).

Paragraph Number 10

Covariates

Several baseline variables were included as covariates for their association with physical activity (6, 16, 22, 25, 26, 30, 31, 48, 49) or behavior change following a disease diagnosis.(5, 18, 33) Age, race/ethnicity, education, family history of diabetes and vigorous exercise at age 18 were self-reported. WHI-certified clinic staff measured height using a stadiometer and weight using a balance-beam scale to calculate BMI (kg/m2). Four subscales from the RAND Health Survey (SF-36; 52) pertaining to physical functioning, pain, energy/fatigue and social functioning were included as covariates. Depression symptoms were measured using the Center for Epidemiological Studies Depression Scale (CES D) 6-item short form.(53) Number of chronic diseases, defined by Seguin (44) was defined as number, up to 5, of the following: cardiovascular disease ever (myocardial infarction, angina, coronary artery bypass graft or percutaneous transluminal coronary angioplasty), hypertension (treated or high blood pressure defined as systolic ≥140 or diastolic ≥ 90 mmHg), congestive heart failure ever, stroke ever, cancer ever, treated diabetes, arthritis ever, falls (2 or more falls in the last 12 months was coded as a chronic disease), emphysema and hip fracture age 55 years or older. Participants with previous diabetes diagnoses were excluded from this study, thus diabetes was not a part of the number of chronic diseases calculation for the current study’s participants. Lastly, study year was included in the model to examine change in physical activity after a diabetes diagnosis from years 3 through 8.

Analytic plan

Paragraph Number 11

This study compared participants with and without a diabetes diagnosis on change in physical activity and in sedentary behavior during 6 years of follow-up assessments. Change in physical activity was computed as current reported value minus previous reported value for each individual at each scheduled follow-up clinic visit (years 3, 4, 5, 6, 7, 8). Thus, among participants who self-reported a diabetes diagnosis, change in physical activity was calculated from before, to in close proximity (i.e., within 1 year) of reporting a diabetes diagnosis. For participants with missing physical activity data at the previous timepoint, the year prior to that was selected to capture change, but only up to 1 year earlier. For instance, if a participant was missing year 4, then change at year 5 was calculated as year 5 minus year 3; however change at year 4 was still regarded as missing. Analyses were conducted with and without using the previous timepoint for missing cases to ensure consistent results. Change in sedentary behavior was computed as current reported value minus previous for each individual at each scheduled follow-up (years 3 and 6). Participants with missing sedentary activity data were omitted from these analyses (n=7,352).

Paragraph Number 12

Linear mixed models were conducted using PROC MIXED in SAS version 9.2. (SAS Institute Inc., Cary, NC) with a repeated statement for subject and specified a first-order Toeplitz covariance structure. As the response variables were difference scores between 2 timepoints, correlations among the variables within an individual were small. More complicated covariance structures gave similar results. Three separate models were run for each outcome. The first model was the unadjusted model, the second model was adjusted for baseline BMI only (to minimize missing data from other covariates) and the third model controlled for the remaining covariates. Physical activity was not included as a covariate when sedentary behavior was the outcome and sedentary behavior was not a covariate when physical activity was the outcome. Analyses were completed in August 2012.

Paragraph Number 13

For the effect modification analyses, interaction terms were created with the diabetes diagnosis variable and each of the moderator variables: education, family history of diabetes and race/ethnicity. These terms were then entered into the model that controlled for all covariates.

Preliminary analyses

Paragraph Number 14

Continuous variables were assessed for normality by examining skew and kurtosis. Physical activity and sedentary behavior change values were fairly symmetric, but ‘no change’ was reported more often than expected for a normal distribution. The CES-D and social functioning variables demonstrated significant skew and were coded as categorical variables using standard cutpoints [0.06 for the CES-D; (53) and 50 for the social functioning subscale(19)]. Since the timing of assessments is critical to this analysis, study year was compared with a variable specifying the number of days since enrollment to completion of the yearly assessments to ensure that assessments occurred in a logical sequence.

Results

Paragraph Number 15

The sample consisted of 84,300 postmenopausal women whose average age=63.5 years (SD=7.3), average BMI was 27.0 kg/m2 (SD=5.7) and 15% were from ethnically/racially diverse groups. Participant characteristics, split by whether they reported diabetes during follow-up, are described in Table 1. Of the participants, 5% reported being diagnosed with diabetes during follow-up up. The number of participants who reported being diagnosed with diabetes in a given year ranged from 407 in year 8 to 1,521 in year 3 (year 3 includes diagnoses that occurred in years 1-3). Incidence ranged from 5.7 (per 1000) in year 8 to 7.8 in year 5, which is lower than population estimates (in 2010, women aged 45-64 had a crude incidence=11.5 per 1000 and women aged 65-79 had a crude incidence=11.9 per 1000).(7) Participants who were diagnosed with diabetes during follow-up had, on average, a higher BMI at baseline (p<0.001), lower educational level (p<0.001) and were less likely to be non-Hispanic White (p<0.001), compared to participants who did not report diabetes during follow-up. Participants who reported diabetes during follow-up also reported less total physical activity at baseline (e.g., difference in total physical activity was −4.1 MET-hours/week; 10.1 vs 14.2 MET-hours/week) and greater sedentary behavior (p<0.001).

Table 1.

Baseline participant characteristics in the WHI Observational Study by diabetes diagnosis status (N=84,300).

Participants who develop
diabetes in follow up

Yes
(n=4,385)
No
(n=79,915)

Mean±SD or
n (%)
Mean±SD or
n (%)
p-value
Age at screening (years) 63.6±7.2 63.5±7.4 0.264
Education (years) 14.1±2.9 14.9±2.6 <0.001
 < High school 375(8.6) 3,269(4.1) <0.001
 High school diploma 2,595(59.8) 41,156(51.9)
 College graduate 1,373(31.6) 34,866(44.0)
Race/ethnicity
 American Indian or Alaskan Native 41(0.94) 268(0.34) <0.001
 Asian or Pacific Islander 158(3.6) 2,211(2.8)
 Black or African-American 631(14.4) 5,247(6.6)
 Hispanic/Latino 268(6.1) 2,575(3.2)
 White (not of Hispanic origin) 3,213(73.5) 68,540(86.0)
 Other 59(1.4) 867(1.1)
Body Mass Index (kg/m2) 31.5±6.8 26.7±5.5 <0.001
Physical Functioning Score 73.2±23.1 82.8±19.1 <0.001
Pain Score 68.5±26.0 75.4±22.9 <0.001
Energy/Fatigue Score 58.1±20.7 64.7±19.0 <0.001
Social Functioning Score 85.7±20.8 90.2±17.6 <0.001
 <50 252 (5.8) 2,650 (3.3) <0.001
 ≥50 4,089 (94.2) 76,639 (96.7)
CES-Da 0.06±0.16 0.04±0.13 <0.001
 <0.06 3,639 (85.8) 69,900 (89.4) <0.001
 ≥0.06 604 (14.2) 8,305 (10.6)
Vigorous exercise at 18 years
 No 2,083 (49.7) 43,189 (56.0) <0.001
 Yes 2,112 (50.4) 33,913 (44.0)
Chronic disease history (number) 1.6±1.1 1.2±1.0 <0.001
Relative had adult diabetes
 No 1,926(44.2) 53,147(66.7) <0.001
 Yes 2,200(50.4) 23,141(29.1)
 Don’t know 236(5.4) 3,371(4.2)
Walking MET-hours per week 3.9±5.5 5.3±6.3 <0.001
Mild MET-hours per week 1.1±2.6 1.4±3.2 <0.001
Moderate MET-hours per week 2.7±4.8 3.4±5.5 <0.001
Vigorous MET-hours per week 2.5±6.5 4.1±8.7 <0.001
Total MET-hours per week 10.1±11.9 14.2±14.5 <0.001
Frequency of recreational physical
activity per week >= 20 minutes
3.3±3.6 4.4±4.0 <0.001
Number of hours spent sitting (hours) 7.6±3.4 7.3±3.3 <0.001
a

CES-D= Center for Epidemiological Studies Depression Scale.

Paragraph Number 16

Results from mixed models revealed significant associations between reported diabetes diagnosis and physical activity change (Table 2). Participants who reported a diabetes diagnosis were more likely to report increased total weekly physical activity (β=0.61, SE=0.18, p<0.001 for crude model), walking (β=0.26, SE=0.07, p<0.001 for crude model), and physical activity episodes (β=0.23, SE=0.05, p<0.001 for crude model). Results remained significant after adjusting for BMI (all p-values<0.05) and other covariates (all p-values<0.05). Results also held when limited to those with complete data for computing changes (all p-values<0.01). On average, participants reporting a diabetes diagnosis increased their total physical activity by 0.49 MET-hours/week (SD=10.9), their walking by 0.033 MET-hours/week (SD=4.6) and their number of physical activity episodes by 0.19 MET-hours/week (SD=3.5). For participants who did not report diabetes, mean change was minimal and decreased for total physical activity (M=−0.13 MET-hours/week, SD=11.1), walking (M=−0.23 MET-hours/week; SD=4.7) and number of physical activity episodes (M=−0.041 MET-hours/week, SD=3.4). Table 3 displays yearly change in total physical activity, walking and number of physical activity episodes.

Table 2.

Change in physical activitya for participants with reported diabetes compared to those without diabetes.

Crude
N=84,300
BMI adjusted
N=83,324
Full modelc
N=76,020

Beta SEb p-value Beta SE p-value Beta SE p-value
Walking MET hours/week 0.259 0.074 <0.001 0.230 0.075 0.002 0.263 0.078 <0.001
Mild MET hours/week 0.025 0.056 0.660 0.027 0.057 0.632 0.027 0.060 0.649
Moderate MET hours/week 0.091 0.090 0.312 0.071 0.091 0.433 0.095 0.096 0.321
Vigorous MET hours/week 0.239 0.118 0.043 0.189 0.119 0.113 0.200 0.125 0.110
Total MET hours/week 0.613 0.176 <0.001 0.517 0.178 0.004 0.585 0.186 0.002
Episodes ≥20 min /week 0.234 0.054 <0.001 0.217 0.054 <0.001 0.260 0.057 <0.001
a

Computing change from earlier time point for those missing data (up to 1 year earlier, for instance if missing year 4 then change at year 5 is year 5 minus year 3)

b

SE- standard error

c

Full model included year, age, ethnicity, BMI, education (years), family history of diabetes, physical functioning (SF-36), pain (SF-36), energy/fatigue (SF-36), social functioning (cut at 50), depression (CES-D, cut at 0.06), number of chronic diseases and strenuous/hard exercise at age 18 years.

Table 3.

Physical activity change and sedentary behavior change for those reporting a diabetes diagnosis and those not, by year.

Physical Activity No diabetes reported
during year
Mean change (SD)
Diabetes reported
during year
Mean change (SD)

Walking MET hours/week Year 3 −0.48 (5.55) −0.24 (5.17)
Year 4 −0.25 (4.55) 0.41 (4.18)
Year 5 −0.15 (4.41) 0.05 (4.16)
Year 6 −0.09 (4.38) 0.26 (4.02)
Year 7 −0.19 (4.29) 0.18 (3.87)
Year 8 −0.14 (4.32) 0.19 (4.13)

Mild MET hours/week Year 3 0.10 (3.51) 0.14 (2.96)
Year 4 0.10 (3.55) 0.14 (2.73)
Year 5 −0.03 (3.53) 0.13 (3.29)
Year 6 −0.17 (3.51) −0.22 (3.13)
Year 7 0.24 (3.59) 0.22 (3.35)
Year 8 −0.05 (3.64) −0.35 (3.11)

Moderate MET hours/week Year 3 0.12 (6.11) 0.09 (5.34)
Year 4 −0.15 (5.65) 0.07 (5.39)
Year 5 0.01 (5.48) 0.13 (4.62)
Year 6 −0.14 (5.54) −0.08 (5.49)
Year 7 0.27 (5.58) 0.37 (4.88)
Year 8 0.02 (5.72) 0.16 (4.93)

Vigorous MET hours/week Year 3 −0.09 (8.12) 0.17 (6.71)
Year 4 −0.02 (7.15) 0.43 (6.53)
Year 5 −0.05 (7.07) 0.09 (6.31)
Year 6 0.26 (7.28) 0.52 (6.5)
Year 7 0.19 (7.4) 0.14 (7.46)
Year 8 0.05 (7.46) 0.41 (6.81)

Total MET hours/week Year 3 −0.35 (12.5) 0.17 (11.5)
Year 4 −0.31 (10.8) 1.06 (10.9)
Year 5 −0.22 (10.3) 0.41 ( 9.7)
Year 6 −0.14 (10.7) 0.48 (9.3)
Year 7 0.50 (10.9) 0.92 (10.5)
Year 8 −0.13 (11.0) 0.40 (10.9)

Episodes ≥20 min /week Year 3 −0.07 (3.72) 0.10 (3.52)
Year 4 −0.09 (3.35) 0.39 (3.49)
Year 5 −0.05 (3.25) 0.09 (3.42)
Year 6 −0.09 (3.28) 0.18 (3.42)
Year 7 0.12 (3.30) 0.40 (3.18)
Year 8 −0.04 (3.34) 0.16 (3.48)

Sedentary hours/week Year 3 −0.41 (3.03) −0.48 (3.34)
Year 6 −0.07 (2.92) −0.03 (3.16)

Paragraph Number 17

Diabetes diagnosis had no association with mild (p=0.66) or moderate intensity activity change (p=0.31). Results did not change with adjustment for BMI (all p-values >0.43) or other covariates (all p-values >0.30). Diabetes diagnosis was significantly associated with vigorous intensity physical activity for the crude model (p=0.04), but the relationship abated after controlling for BMI (p=0.11) and other covariates (p=0.11). Diabetes diagnosis also had no impact on change in sedentary behavior for the crude (p=0.86), BMI adjusted (p=0.63) or full model (p=0.48; Table 4).

Table 4.

Change in sedentary hours for participants with reported diabetes compared to those with no diabetes.

Sedentary hours/week Beta SEa p-value
Crude (N=76,948) −0.010 0.056 0.862
BMI adjusted (N=76,069) −0.027 0.057 0.633
Full modelb (N=69,763) −0.043 0.06 0.478
a

SE – standard error

b

Full model containing year, age, ethnicity, BMI, education (years), family history of diabetes, physical functioning (SF-36), pain (SF-36), energy/fatigue (SF-36), social functioning (cut at 50), depression (CES-D, cut at 0.06), number of chronic diseases and strenuous/hard exercise at age 18 years.

Paragraph Number 18

Neither education, family history of disease nor race/ethnicity modified the relationship between diabetes diagnosis and change in any of the physical activity outcomes (all p-values>0.14).

Discussion

Paragraph Number 19

Post-menopausal women who reported a diabetes diagnosis reported significant increases in their physical activity compared to women who did not report a diabetes diagnosis. The increase in physical activity appeared to be driven by a small increase in reported walking and physical activity episodes. Women who reported a diabetes diagnosis reported an increase of 0.5 MET-hours/week in total physical activity. While an increase of this magnitude represents only 6% of the recommended amount of physical activity (i.e., 7.5 MET-hours/week),(2) any increase in recreational physical activity, particularly in those at greater risk for comorbid disease, may confer benefits. A pooled analysis of 6 prospective cohort studies demonstrated that adults who reported 0.1 - 3.74 MET-hours/week had a 32% lower mortality risk and an average of 1.8 years longer life expectancy compared to adults who reported no recreational physical activity.(37) The slight increase observed, coupled with research demonstrating that physical activity tends to decline with age,(51) justifies a need for future research to investigate how a diabetes diagnosis may encourage physical activity and how public health practitioners and clinicians might capitalize on this opportunity to promote activity.

Paragraph Number 20

Results suggest that a diabetes diagnosis may provide some motivation for increasing physical activity in a population that is often quite sedentary.(4) The diabetes diagnosis may have highlighted participants’ worsening health, prompting them to increase their physical activity, without further intervention or guidance, in an attempt to assuage health concerns. They also may have received counseling from a health professional on increasing physical activity.(47)

Paragraph Number 21

Prior to diagnosis, people with type 2 diabetes often have warning signs or receive a ‘pre-diabetes’ diagnosis that could heighten their awareness for the necessity of behavior change. Since physical activity may help prevent diabetes, research should examine whether classifying a patient as pre-diabetic or using an impaired glucose tolerance diagnosis can similarly motivate increased physical activity. A qualitative study of individuals with impaired glucose tolerance who participated in a diabetes prevention lifestyle intervention trial and maintained improvements in lifestyle behaviors, mentioned that their impaired glucose tolerance diagnosis was a strong motivating factor for behavior change.(41) The best strategies for facilitating behavior change during these instances require further study.

Paragraph Number 22

Though the participants who developed diabetes reported increased physical activity, the average amount was still lower than the physical activity of participants who never developed diabetes and the amount recommended for health benefits. The fact that those who developed diabetes continued to lag behind individuals who did not develop diabetes, coupled with the evidence that individuals with diabetes are more likely to relapse to a sedentary lifestyle after beginning an exercise program,(29) raises the question as to how to further increase and maintain physical activity in individuals with diabetes. Access to exercise facilities, social support and preventing pain and obesity are key factors for facilitating physical activity maintenance in individuals with diabetes.(43, 54) The extent to which technology, such as continuous blood glucose monitors and virtual reality, encourages physical activity maintenance appears promising, but requires further study.(1, 10)

Paragraph Number 23

No differences were observed in reported sedentary behavior. Increased physical activity may not necessarily prompt reductions in sedentary behavior.(23) Some individuals compensate for increased physical activity by increasing their sedentary behavior.(27) Participants may also have had little awareness of the importance of reducing sedentary behavior. Although recommendations to reduce sedentary behavior are included in the physical activity recommendations, the extent to which advice to reduce sedentary behavior is provided is unknown. A study of counseling by primary care physicians found that only 10% of patients received counseling to reduce sitting, compared to 53% of patients who received physical activity counseling.(46) Research is just beginning to emerge on the factors that facilitate decreases in sedentary behavior [e.g., point-of-choice prompting software(11)], which could assist individuals with decreasing sedentary activity following a diabetes diagnosis.

Paragraph Number 24

The lack of a moderating effect of education on physical activity change conflicts with the Newsom and colleagues study(38) in which individuals with a higher education level reported increased physical activity following a diabetes diagnosis. That study used data from the Health and Retirement Study, which includes a probability sampling of U.S. adults aged 50 and older with oversampling of Blacks, Hispanics and Florida residents.(21) The WHI-OS sample is a more highly educated sample than the US population. This difference and the inclusion of males in the Health and Retirement study sample may have accounted for the discrepant results.

Paragraph Number 25

The main limitation of this study is that diabetes was self-reported treated diabetes, and was only captured as having occurred in the past year as the WHI does not contain the date of diabetes diagnosis. Thus, participants may have been diagnosed as long as 12 months ago or as little as 1 day before they completed the follow-up assessment. The use of self-reported physical activity and sedentary behavior is not ideal given the possibility of inaccurate reporting. The lack of objective physical activity data limits our ability to validate participants’ self-report. Additionally, sedentary behavior was only measured at baseline, year 3 and year 6, which creates a larger time span between diabetes diagnosis and the post-diagnosis sedentary behavior measurement. The WHI sample also reported little vigorous intensity physical activity,(12) which may have limited the possibility of finding change over time in vigorous intensity physical activity. Participants were less likely to report diabetes than postmenopausal women in the US, which suggests that participants may not be representative of postmenopausal women. Additionally, results may not generalize to men or premenopausal women. Strengths of the study include the large, longitudinal, national, and well-characterized racially and ethnically diverse group of postmenopausal women, the use of multiple measures of physical activity and an examination of sedentary behavior.

Paragraph Number 26

A disease diagnosis may motivate health behavior change and prompt increases in physical activity. Health professionals should be cognizant of this opportunity to discuss healthy behavior change upon diagnosis, as not all patients with diabetes report receiving encouragement from their physicians on increasing physical activity(3, 40) and opportunities to motivate behavior change can be overlooked in primary care settings.(8) Providing physical activity recommendations, relevant resources and evidence-based strategies such as tracking physical activity, scheduling physical activity and eliciting social support for activity, as well as increasing contact and support for patients who have been newly diagnosed with diabetes, may facilitate greater increases in physical activity and support physical activity maintenance.

Supplementary Material

1

Acknowledgements

The WHI program is funded by the National Heart, Lung, and Blood Institute, National Institutes of Health, U.S. Department of Health and Human Services through contracts HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, and HHSN271201100004C.

Partial salary support for Dr. Waring is provided by the National Institutes of Health grant 1U01HL105268.

Dr. Seguin was supported by a grant from the National Heart, Lung, and Blood Institute (K01 HL108807). Dr. Ma was supported by grant #1R01HL094575-01A1 from the National Heart, Lung, and Blood Institute. This study does not constitute endorsement by the American College of Sports Medicine.

Footnotes

Please see Online-Only Supplemental Material for a complete list of WHI investigators.

The authors report no conflicts of interest.

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Allen N, Whittenmore R, Melkus G. A continuous glucose monitoring and problem-solving intervention to change physical activity behavior in women with type 2 diabetes: a pilot study. Diabetes Technol Ther. 2011;13(11):1091–1099. doi: 10.1089/dia.2011.0088. [DOI] [PubMed] [Google Scholar]
  • 2.American Diabetes Association Position Statement: Standards of Medical Care in Diabetes 2012. Diabetes Care. 2012;35(S1):S11–S63. doi: 10.2337/dc12-s011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Barnes PM, Schoenborn CA. Trends in adults receiving a recommendation for exercise or other physical activity from a physician or other health professional. NCHS Data Brief. 2012;86:1–8. [PubMed] [Google Scholar]
  • 4.Barrett JE, Plotnikoff RC, Courneya KS, Raine KD. Physical activity and type 2 diabetes: Exploring the role of gender and income. Diabetes Educ. 2007 Jan-Feb;33(1):128–143. doi: 10.1177/0145721706297453. [DOI] [PubMed] [Google Scholar]
  • 5.Blanchard CM, Denniston MM, Baker F, Ainsworth SR, Courneya KS, Hann DM. Do adults change their behaviors after a cancer diagnosis? Am J Health Behav. 2003;27(246-256) doi: 10.5993/ajhb.27.3.6. [DOI] [PubMed] [Google Scholar]
  • 6.Bolen JC, Rhodes L, Powell-Griner EE, Bland SD, Holtzman D. State-specific prevalence of selected health behaviors, by race and ethnicity--Behavioral Risk Factor Surveillance System, 1997. MMWR CDC Serveill Summ. 2000;49(2):1–60. [PubMed] [Google Scholar]
  • 7.Center of Disease Control and Prevention, National Center for Health Statistics, Division of Health Interview Statistics Data computed by personnel in CDC’s Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion 2013 [cited 2013 June 7] Available from: http://www.cdc.gov/diabetes/statistics/incidence/fig5.htm.
  • 8.Cohen DJ, Clark EC, Lawson PJ, Casucci BA, Flocke SA. Identifying teachable moments for health behavior counseling in primary care. Patient Education and Counseling. 2011;85:e8–e15. doi: 10.1016/j.pec.2010.11.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Demark-Wahnefried W, Peterson B, McBride C, Lipkus I, Clipp E. Current health behaviors and readiness to pursue life-style changes among men and women diagnosed with early stage prostate and breast carcinomas. Cancer. 2000;88(674-684) [PubMed] [Google Scholar]
  • 10.Ershow AG, Peterson CM, Riley WT, Rizzo AS, Wansink B. Virtual reality technologies for research and education in obesity and diabetes: research needs and opportunities. J Diabetes Sci Technol. 2011;5(2):212–224. doi: 10.1177/193229681100500202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Evans R, Fawole H, Sheriff S, Dall P, Grant P, Ryan C. Point-of-choice prompts to reduce sitting time at work: a randomized trial. Am J Prev Med. 2012;43(3):293–297. doi: 10.1016/j.amepre.2012.05.010. [DOI] [PubMed] [Google Scholar]
  • 12.Evenson KR, Wilcox S, Pettinger M, Brunner R, King AC, McTiernan A. Vigorous leisure activity through women’s adult life. American Journal of Epidemiology. 2002;156(10):945–953. doi: 10.1093/aje/kwf132. [DOI] [PubMed] [Google Scholar]
  • 13.Gabriel KP, McClain JJ, Lee CD, Swan PD, Alvar BA, Mitros MR, et al. Evaluation of physical activity measures used in middle-aged women. Medicine & Science in Sports & Exercise. 2009;41(7):1403–12. doi: 10.1249/MSS.0b013e31819b2482. doi: 10.1249/MSS.0b013e31819b2482. [DOI] [PubMed] [Google Scholar]
  • 14.Gorin AA, Phelan S, Hill JO, Wing RR. Medical triggers are associated with better short- and long-term weight loss outcomes. Preventive Medicine. 2004;39:612–616. doi: 10.1016/j.ypmed.2004.02.026. [DOI] [PubMed] [Google Scholar]
  • 15.Gritz ER, Fingeret MC, Vidrine DJ, Lazev AB, Mehta NV, Reece GP. Successes and Failures of the Teachable Moment Smoking Cessation in Cancer Patients. Cancer. 2006;106:17–27. doi: 10.1002/cncr.21598. [DOI] [PubMed] [Google Scholar]
  • 16.Grubert E, Baker TA, McGeever K, Shaw BA. The role of pain in understanding racial/ethnic differences in the frequency of physical activity among older adults. J Aging Health. 2013;25(3):405–21. doi: 10.1177/0898264312469404. doi: 10.1177/0898264312469404. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Haskell WL, Lee IM, Pate RR, et al. Physical activity and public health: Updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007 Aug;39(8):1423–1434. doi: 10.1249/mss.0b013e3180616b27. [DOI] [PubMed] [Google Scholar]
  • 18.Hawkins NA, Smith T, Zhao L, Rodriguez J, Berkowitz Z, Stein KD. Health-related behavior change after cancer: results of the American Cancer Society’s studies of cancer survivors (SCS) J Cancer Surviv. 2010;4:20–32. doi: 10.1007/s11764-009-0104-3. [DOI] [PubMed] [Google Scholar]
  • 19.Hays RD, Sherbourne CD, Mazel RM. The RAND-36 item health survey 1.0. Health Econ. 1993;2:217–227. doi: 10.1002/hec.4730020305. [DOI] [PubMed] [Google Scholar]
  • 20.Healy GN, Wijndaele K, Dunstan DW, et al. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab) Diabetes Care. 2008 Feb;31(2):369–371. doi: 10.2337/dc07-1795. [DOI] [PubMed] [Google Scholar]
  • 21.Heeringa SG, Connor J. Technical description of the Health and Retirement Study sample design. Online version. 1995:1–59. http://hrsonline.isr.umich.edu/sitedocs/userg/HRSSAMP.pdf. [Google Scholar]
  • 22.Heesch KC, van Uffelen JG, van Gellesum YR, Brown WJ. Dose-response relationships between physical activity, walking and health-related quality of life in mid-age and older women. J Epidemiol Community Health. 2012;66(8):670–7. doi: 10.1136/jech-2011-200850. doi: 10.1136/jech-2011-200850. [DOI] [PubMed] [Google Scholar]
  • 23.Helmink JHM, Gubbels JS, van Brussel-Visser FN, de Vries NK, Kremers SPJ. Baseline predictors of maintenance of intervention-induced changes in physical activity and sitting time among diabetic and pre-diabetic patients: a descriptive case series. BMC Research Notes. 2013;6:190. doi: 10.1186/1756-0500-6-190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Hu FB, Li TY, Colditz GA, Willett WC, Manson JE. Television watching and other sedentary behaviors in relation to risk of obesity and Type 2 diabetes mellitus in women. Jama. 2003;289(14):1785–1791. doi: 10.1001/jama.289.14.1785. [DOI] [PubMed] [Google Scholar]
  • 25.Jackson A, Sui X, Hebert J, Church T, Blair S. Role of lifestyle and aging on the longitudinal change in cardiorespiratory fitness Arch Intern Med. 2009;169(19):1781–7. doi: 10.1001/archinternmed.2009.312. doi: 10.1001/archinternmed.2009.312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kaptein SA, Badley EM. Sex differences, age, arthritis, and chronic disease: influence on physical activity behaviors. J Phys Act Health. 2012;9(4):540–8. doi: 10.1123/jpah.9.4.540. [DOI] [PubMed] [Google Scholar]
  • 27.King NA, Hopkins M, Caudwell P, Stubbs RJ, Blundell JE. Individual variability following 12 weeks of supervised exercise: Identification and characterization of compensation for exercise-induced weight loss. Int J Obes (Lond) 2008;32(1):177–84. doi: 10.1038/sj.ijo.0803712. PubMed PMID: 17848941. [DOI] [PubMed] [Google Scholar]
  • 28.Keenan PS. Smoking and weight change following new health diagnoses in older adults. Archives of Internal Medicine. 2008;169(3):237–42. doi: 10.1001/archinternmed.2008.557. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Krug LM, Haire-Joshu D, Heady SA. Exercise habits and exercise relapse in persons with non-insulin-dependent diabetes mellitus. Diabetes Educ. 1991 May-Jun;17(3):185–188. doi: 10.1177/014572179101700314. [DOI] [PubMed] [Google Scholar]
  • 30.Kwon S, Wang M, Hawkins M. Association between self-reported physical activity and obesity among White, Black, Hispanic, and Asian Americans: 2007 and 2009 brfss. Ethnicity & Disease. 2013;23(2):129–35. [PubMed] [Google Scholar]
  • 31.Lai JK, Lucas RM, Armstrong M, Banks E. Prospective observational study of physical functioning, physical activity and time outdoors and the risk of hip fracture: A population based cohort study of 158 057 older adults in the 45 and Up Study. J Bone Miner Res. 2013 doi: 10.1002/jbmr.1963. Epub April 22, 2013. doi: 10.1002/jbmr.1963. [DOI] [PubMed] [Google Scholar]
  • 32.Langer RD, White E, Lewis CE, Kotchen JM, Hendrix SL, Trevisan M. The Women’s Health Initiative Observational Study: Baseline characteristics of participants and reliability of baseline measures. Ann Epidemiol. 2003;13(9 Suppl):S107–S121. doi: 10.1016/s1047-2797(03)00047-4. [DOI] [PubMed] [Google Scholar]
  • 33.Lemon SC, Zapka JG, Clemow L. Health behavior change among women with recent familial diagnosis of breast cancer. Prev Med. 2004;39:253–62. doi: 10.1016/j.ypmed.2004.03.039. [DOI] [PubMed] [Google Scholar]
  • 34.Ma Y, Balasubramanian R, Pagoto SL, et al. Elevated Depressive Symptoms, Antidepressant Use, and Diabetes in a Large Multiethnic National Sample of Postmenopausal Women. Diabetes Care. 2011;34(11):2390–2392. doi: 10.2337/dc11-1223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Margolis KL, Qi L, Brzyski R, et al. Validity of diabetes self-reports in the Women’s Health Initiative: comparison with medication inventories and fasting glucose measurements. Clin Trials. 2008;5(3):240–247. doi: 10.1177/1740774508091749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Meyer AM, Evenson KR, Morimoto L, Siscovick D, White E. Test-retest reliability of the Women’s Heath Initiative physical activity questionnaire. Medicine & Science in Sports & Exercise. 2009;41(3):530–8. doi: 10.1249/MSS.0b013e31818ace55. doi: 10.1249/MSS.0b013e31818ace55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Moore S, Patel A, Matthews C, et al. Leisure Time Physical Activity of Moderate to Vigorous Intensity and Mortality: A Large Pooled Cohort Analysis. PLoS. 2012;9(11):1–14. doi: 10.1371/journal.pmed.1001335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Newsom JT, Huguet N, McCarthy MJ, et al. Health behavior change following chronic illness in middle and later life. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. 2012;67(3):279–288. doi: 10.1093/geronb/gbr103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Patel AV, Bernstein L, Deka A, et al. Leisure Time Spent Sitting in Relation to Total Mortality in a Prospective Cohort of US Adults. Am J Epidemiol. 2010 Aug 15;172(4):419–429. doi: 10.1093/aje/kwq155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Patel NK, Parchman ML. The Chronic Care Model and Exercise Discussions during Primary Care Diabetes Encounters. J Am Board Fam Med. 2011;24(1):26–32. doi: 10.3122/jabfm.2011.01.100137. [DOI] [PubMed] [Google Scholar]
  • 41.Penn L, Moffatt S, White M. Participants’ perspective on maintaining behaviour change: a qualitative study within the European Diabetes Prevention Study. BMC Public Health. 2008;8(235):1–11. doi: 10.1186/1471-2458-8-235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Plotnikoff RC, Lippke S, Karunamuni N, et al. Co-morbidity, functionality and time since diagnosis as predictors of physical activity in individuals with type 1 or type 2 diabetes. Diabetes Res Clin Pract. 2007 Oct;78(1):115–122. doi: 10.1016/j.diabres.2007.02.016. [DOI] [PubMed] [Google Scholar]
  • 43.Qiu S, Sun Z, Cai X, Liu L, Yang B. Improving Patients’ Adherence to Physical Activity in Diabetes Mellitus: A Review. Diabetes Metab J. 2012;36:1–5. doi: 10.4093/dmj.2012.36.1.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Seguin R, LaMonte M, Tinker L, et al. Sedentary Behavior and Physical Function Decline in Older Women: Findings from the Women’s Health Initiative Journal of Aging Research. 2012;2012:1–10. doi: 10.1155/2012/271589. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Shields M, Tremblay MS. Sedentary behaviour and obesity. Health Rep. 2008 Jun;19(2):19–30. [PubMed] [Google Scholar]
  • 46.Shuval K, DiPietro L, Skinner CS, Barlow CE, Morrow J, Goldsteen R, et al. ‘Sedentary behaviour counselling’: the next step in lifestyle counselling in primary care; pilot findings from the Rapid Assessment Disuse Index (RADI) study. Br J Sports Med. 2012 doi: 10.1136/bjsports-2012-091357. Epub Sep 13, 2012. PubMed Central PMCID: PMC 22976910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Sigal RJ, Kenny GP, Wasserman DH, Castaneda-Sceppa C, White RD. Physical activity/exercise and type 2 diabetes: A consensus statement from the American Diabetes Association. Diabetes Care. 2006 Jun;29(6):1433–1438. doi: 10.2337/dc06-9910. [DOI] [PubMed] [Google Scholar]
  • 48.Song MR, Lee YS, Baek JD, Miller M. Physical activity status in adults with depression in the National Health and Nutrition Examination Survey, 2005-2006. Public Health Nurs. 2012;29(3):208–17. doi: 10.1111/j.1525-1446.2011.00986.x. doi: 10.1111/j.1525-1446.2011.00986.x. [DOI] [PubMed] [Google Scholar]
  • 49.Telama R, Yang X, Viikari J, Välimäki I, Wanne O, Raitakari O. Physical activity from childhood to adulthood: a 21-year tracking study. 28. 2005;3(267-273) doi: 10.1016/j.amepre.2004.12.003. [DOI] [PubMed] [Google Scholar]
  • 50.Tinker LT, Bonds DE, Margolis KL, et al. Low-fat dietary pattern and risk of treated diabetes mellitus in postmenopausal women: the Women’s Health Initiative randomized controlled dietary modification trial. Arch Intern Med. 2008;168(14):1500–1511. doi: 10.1001/archinte.168.14.1500. [DOI] [PubMed] [Google Scholar]
  • 51.Troiano RP, Berrigan D, Dodd KW, Masse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008 Jan;40(1):181–188. doi: 10.1249/mss.0b013e31815a51b3. [DOI] [PubMed] [Google Scholar]
  • 52.Ware JE, Jr., Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473–483. [PubMed] [Google Scholar]
  • 53.Wassertheil-Smoller S, Shumaker S, Ockene J, et al. Depression and cardiovascular sequelae in postmenopausal women - The Women’s Health Initiative (WHI) Archives of Internal Medicine. 2004 Feb;164(3):289–298. doi: 10.1001/archinte.164.3.289. [DOI] [PubMed] [Google Scholar]
  • 54.Wycherley TP, Mohr P, Noakes M, Clifton PM, Brinkworth GD. Self-reported facilitators of, and impediments to maintenance of healthy lifestyle behaviours following a supervised research-based lifestyle intervention programme in patients with type 2 diabetes. Diabetic Medicine. 2012;29:632–639. doi: 10.1111/j.1464-5491.2011.03451.x. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1

RESOURCES