Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

Motivational counselling and SMS-reminders for reduction of daily sitting time in patients with rheumatoid arthritis: a descriptive randomised controlled feasibility study

BMC Musculoskeletal Disorders volume 17, Article number: 434 (2016) Cite this article

Abstract

Background

Patients with rheumatoid arthritis (RA) spend a high proportion of their waking time in sedentary behaviour (SB) and have an increased risk of cardiovascular disease. Reduction of SB and increase in light intensity physical activity has been suggested as a means of improvement of health in patients with mobility problems. Short-term intervention studies have demonstrated that SB can be reduced by behavioural interventions in sedentary populations. To evaluate descriptively the feasibility of recruitment, randomisation, outcome assessments, retention and the acceptability of an individually tailored, theory-based behavioural intervention targeting reduction in daily sitting time in patients with RA.

Methods

A randomised, controlled trial with two parallel groups. RA patients >18 years of age and Health Assessment Questionnaire (HAQ) score < 2.5 were consecutively invited and screened for daily leisure time sitting > 4 h. The 16-week intervention included 1) three individual motivational counselling sessions and 2) individual text message reminders aimed at reducing daily sitting time. The control group was encouraged to maintain their usual lifestyles. Outcomes were assessed at baseline and after the 16 week intervention. Daily sitting time was measured using an ActivPAL3TM activity monitor. The study was not powered to show superiority; rather the objective was to focus on acceptability among patients and clinical health professionals.

Results

In total, 107 patients were invited and screened before 20 met eligibility criteria and consented; reasons for declining study participation were mostly flares, lack of time and co-morbidities. One patient from the control group dropped out before end of intervention (due to a RA flare). Intervention participants completed all counselling sessions. All procedures regarding implementation of the trial protocol were feasible. The daily sitting time was reduced on average by 0.30 h in the intervention group unlike the control group that tended to increase it by 0.15 h after 16 weeks.

Conclusions

This study shows that an individually tailored behavioural intervention targeting reduction of SB was feasible and acceptable to patients with RA.

Trial registration

The Danish Data Protection Agency (ref.nb. 711-1-08 - 20 March 2011), the Ethics Committee of the Capital Region of Denmark (ref.nb. H-2-2012-112- 17 October 2012), clinicaltrials.gov (NCT01969604 - October 17 2013, retrospectively registered).

Peer Review reports

Background

Rheumatoid arthritis (RA) is a chronic inflammatory disease affecting 0.5–1.0 % of the population in developed countries [1]. It is associated with pain and fatigue, decreased health-related quality of life and co-morbidity such as cardiovascular diseases and osteoporosis [1–4]. Short-term health benefits from exercise have been documented in patients with RA [5, 6]. However, the majority of patients with RA do not meet recommendations of moderate to vigorous physical activity (MVPA) [7] and spend a higher proportion of their waking hours sitting than the general population (71 % and 62 % respectively of waking hours, objectively measured by accelerometer) [8]. Sedentary behaviour (SB) is defined as any waking behaviour characterized by energy expenditure <1. 5 metabolic equivalents (METs) while in a sitting or reclined position [9]. Recent population-based observational studies measuring SB as self-reported TV-viewing [10–14], leisure time sitting [15, 16] and total daily sitting time [13, 15, 17] have suggested that SB may be a behaviourally independent risk factor for cardiovascular disease [10, 16, 17], premature death [10, 11, 13], cardio-metabolic biomarkers [12, 15] and certain types of cancer [14]. Accordingly, a meta-analysis of interventions aiming to reduce SB in adults has proposed beneficial effects of interventions targeting reduction of SB specifically [18]. Moreover, a review from 2012 has suggested that aiming to increase PA levels among patients with mobility disability should not focus solely on increasing MVPA, but should also target reduction of sitting time and increase of light intensity activity, the “non-exercise” part of the activity continuum [19]. This approach may prove feasible for improving and maintaining health in patients with chronic disease and mobility limitations. Nonetheless, there are no previous intervention studies specifically targeting reduction of SB in patients with RA. Intervention studies using objective measures of sitting time as outcome measures in older [20], overweight and obese adults [21, 22], and in desk-based office employees [23, 24] have demonstrated that sitting time can be reduced through behavioural interventions [20, 21], use of sit-stand workstations [23] and height-adjustable workstations, combined with face-to-face coaching and telephone support [24]. Moreover, energy expenditure can be increased by reducing TV-viewing time [22], possibly as a result of replacing sedentary TV-viewing time with activities that require higher energy expenditure e.g. standing or moving about. Means to reduce SB have included motivational counselling for encouraging people to make behavioural changes to improve their health. This has shown positive effects on health behaviours, such as alcohol- and tobacco use or sedentary behaviour in a range of medical care settings [25] and on waist circumference and insulin in healthy adults [26]. In addition, studies that have included text messages addressing changes in daily physical activity as part of the behavioural intervention have shown positive effects on physical activity levels and weight in clinical settings [27].

Whether reduction of SB is a beneficial health promotion strategy in patients with RA is yet to be determined. We wanted to investigate this by means of an individually tailored behavioural intervention in a randomized controlled trial. However, considering the novelty of this approach and the fluctuating severity of RA, we found it essential to determine first whether the methods, practicalities and demands of such a study were acceptable for patients with RA and for those involved in implementing the intervention. We wanted to evaluate individual reactions to the intervention and time and resources spent on recruitment, intervention and assessments.

Therefore, the aim of the present study was to evaluate descriptively the feasibility of recruitment, randomisation, retention, and outcome assessments at baseline and immediately after the intervention. Furthermore, to evaluate the acceptability of an individually tailored, theory-based behavioural intervention targeting reduction in daily sedentary behaviour in patients with RA.

Methods

Design

A 16 week randomised controlled trial with focus on feasibility and acceptability, and with blinded outcome assessors.

Setting and participants

Participants were recruited from the rheumatology outpatient clinic at Rigshospitalet, Glostrup. Inclusion criteria were: RA (defined by the 1987 American College of Rheumatology/European League Against Rheumatism classification criteria for RA) [28]; > 18 years of age; disease duration > 1 year; a Health Assessment Questionnaire (HAQ)-score < 2.5; understanding/speaking Danish; daily leisure-time sitting > 4 h and access to a mobile phone. Exclusion criteria were: vigorous intensity physical activity > 8 h per week; HAQ-score > 2.5 and pregnancy. The project coordinator (TT) screened medical records systematically for potentially eligible patients who were consecutively invited by letter. A few days later TT conducted a telephone-based screening to ensure that the patients met the eligibility criteria regarding SB and vigorous physical activity using the Physical Activity Scale (PAS 2.1) [29]. Eligible patients were invited to an individual information session with TT. Informed consent was obtained from each patient immediately following the session or during the following two days.

Randomisation and assessor blinding

Randomisation was conducted by an external collaborator, ZiteLab Aps (http://www.zitelab.dk/), which was not involved in the assessments or intervention. It was performed immediately after baseline measurements via computer-generated “random numbers” with randomisation to either an intervention group (n = 10) or a control group (n = 10). The outcome assessors were blinded to participants’ allocation status throughout the study.

Behaviour change intervention

The 16 week intervention was conducted at Rigshospitalet, Glostrup, and consisted of 1) three individual motivational counselling sessions and 2) individual text message reminders targeting reduction of SB. TT monitored overall programme adherence, programme logistics and the dispatch of the text messages.

Training of project staff prior to the intervention

Five of the project staff (three project nurses, BAE and TT) conducted the motivational counselling sessions and attended a one-day tailored motivational interviewing (MI) training course supervised by a clinical psychologist with broad experience in MI and health behaviour change. The course featured MI theory, principles and interview techniques. During the study, the project staff received continuous supervision by the psychologist including discussion of conducted counselling sessions.

Two occupational therapists with broad clinical experience in rheumatology conducted the outcome assessments. Prior to study start the therapists received supervision from BAE and TT on how to perform the assessments. In addition, they were trained to save all recorded data through an online interface via a tablet. During the study the assessors were continuously supervised by TT in order to secure a uniform data collection methodology.

Structure and content of the intervention

Participants received three individual motivational counselling sessions. The first session took place on the day the participants were randomised and informed about allocation status; the second and third sessions took place two and ten weeks after the first session. The sessions were conducted either in a room at the rheumatology outpatient clinic or in the research unit, where the same interviewer (BAE, TT or a project nurse) conducted all three sessions.

The intervention was based on behavioural choice theory [30] which addresses how people replace the choice of an unhealthy reinforcing behaviour with less reinforcing and more healthy alternatives. Self-efficacy [31] was chosen because it in particular addresses an individual’s own belief in what one can do under different conditions with the skills the individual holds. Furthermore, motivational interviewing techniques were included in the intervention [32]. The first motivational counselling session commenced by identifying the participant’s physical activity and SB patterns during a typical weekday and the interviewer reporting the health benefits of reducing SB. The session also incorporated individual behavioural goal-setting and action-planning for change in SB with the participants identifying daily behavioural choices and describing possible behaviour alternatives (e.g. ‘Every day at work I will hold my telephone conversations standing up’ or ‘I will leave the remote at the TV tonight so I’ll have to get up whenever I want to change the channel’). In session two and three, behavioural goals were reviewed, including discussion of pros and cons of the outcomes of the behaviour, identity associated with the changed behaviour, and feed-back on the behaviour from the interviewer. Potentially, behavioural goals were modified or new ones were set. During the three sessions the interviewer was supported by a number of MI sheets, including prompt sheets with relevant questions for the participants, a “decisional balance” work sheet and sheets to assess importance and self-belief in reducing daily SB. A time schedule of the intervention and the applied behaviour change techniques according to the intervention taxonomy by Michie et al. [33] is provided in Fig. 1.

Fig. 1
figure 1

Time schedule of the 16 week intervention period including the applied behaviour change techniques according to the intervention taxonomy by Michie et al. [33]

Full size image

Key messages

The intervention focused on four key messages regarding reduction of SB; 1) reduce TV-viewing, 2) substitute sitting with standing when possible – at work and/or at home, 3) break up prolonged sitting by standing up frequently and 4) maximum 30 min of sitting per episode. During the intervention the participants were provided with four booklets containing each of the key messages with specific suggestions and ideas for reduction of daily sitting time.

Individual text message reminders

After each motivational counselling session, based on the participants’ individual behavioural goal(s) and their gender, age, partner status, housing, work status and hobbies, an external communications consultant drafted individually tailored text messages to each one reminding them of their behavioural goal(s). In the motivational counselling session the participants had decided frequency and timing of the text messages. Participants could receive a maximum of one reminder per weekday, i.e. a maximum of five reminders per week. SMS-Track Aps, (https://www.sms-track.com/) developed and monitored the technical system supporting the sending of the text messages.

Control group

Participants in the control group were encouraged to maintain their usual lifestyle during the 16-week intervention period. They were not in contact with the project staff until the post intervention assessment.

Feasibility and acceptability of the intervention

TT documented all components of the recruitment and screening procedure. This included documentation of the number of invited and screened patients and reasons for exclusion or declining study participation. Adherence to the intervention was monitored using an interviewer-administered log sheet in which information on participant, behavioural goals, text message reminders and acceptability and progress of the sessions were recorded. That also included acceptability of frequency and content of text message reminders. Furthermore, by the end of the intervention period, the participants evaluated the intervention by filling in a short questionnaire about the structure and content of the intervention, potential changes in everyday habits and the impact of the intervention on physical activity patterns of friends and families.

Outcome measures

Assessments took place at baseline prior to randomisation and at end of the 16-week intervention period. Detailed description of the measurements is reported elsewhere [34]. Outcome measures are briefly described below.

Change in daily sitting time was objectively measured using an ActivPAL®3TM Activity Monitor (PAL Technologies, Glasgow, UK), which has demonstrated reliability and validity for measuring posture and motion during everyday physical activities [35] and is currently considered the best choice for measurements of sitting/lying. The monitor was worn anteriorly on the upper right thigh, enfolded in waterproof dressing and kept in place by adhesive tape. The participants wore the ActivPAL for a seven-day period for each assessment. The ActivPAL does not distinguish between sitting and lying posture, which is why the participants, during the assessments, kept a diary of their sleeping time in order to separate this from their sitting/lying time while awake. Changes in daily sitting time were also measured by self-report using the Physical Activity Scale 2.1 (PAS 2.1) [29] and by specific questions about the total time spent sitting and the longest uninterrupted time spent sitting during both work and leisure [36]. Change in number of breaks in daily sitting time was also measured using the ActivPAL monitor. Change in pain was measured using the Visual Analogue Scale (VAS) which transforms the subjective experience of pain by putting a mark on a 100 mm line, ranging from “no pain” to “worst imaginable pain” [37]. Change in fatigue was measured using the 20-item Multidimensional Fatigue Inventory (MFI) [38]. It classifies fatigue in five dimensions; 1) general fatigue, 2) physical fatigue, 3) mental fatigue, 4) reduced activity and 5) reduced motivation. The scores range from 4 to 20, with higher scores indicating higher levels of fatigue. Fatigue was also measured by VAS [37]. Change in functional function was measured by the Health Assessment Questionnaire (HAQ), which contains 20 items with four possible answers in eight categories of function within daily activities. The highest scores of each dimension are summarized and divided by 8, resulting in a possible range of total scores (HAQ score) from 0 (no difficulty) to 3 (unable to do) [39]. Change in Health-Related Quality of Life (HR-QoL) was measured using the generic Short Form Health Survey (SF-36) [40], which was divided into two SF-36 summary scales; 1) the physical component summary scale (PCS) and 2) the mental component summary scale (MCS) and each domain is scored from 0 (low) - 100 (high). Change in self-efficacy was measured using the 10-item General Self-Efficacy Scale (GSES) and possible response categories are “not at all true”, “hardly true”, “moderately true” and “exactly true”, yielding a total score between 10 (low) – 40 (high) [41]. GSES measures the general sense of perceived self-efficacy in coping with a variety of demands in life. Changes in biomarkers and blood pressure; non-fasting venous blood samples were drawn. Total cholesterol, high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL) and triglycerides were measured by an enzymatic method on the Vitros 5.1 FS from Ortho Clinical Diagnostics. C-reactive protein (CRP) and HbA1c were measured on the Vitros 5.1 FS and G8 HPLC Analyzer from TOSOH. In addition, after 5–10 min of resting (sitting), blood pressure was measured digitally three times at the right upper arm and the average of the three measurements was recorded. Changes in weight, waist circumference, BMI and waist-hip-ratio; Weight was measured to the nearest 0.1 kg in light clothing and without shoes; Waist circumference was measured to the nearest 0.5 cm midway between the lower rib margin and the iliac crest and hip circumference was measured to the nearest 0.5 cm at the point yielding the maximum circumference over the buttocks. Subsequently, body mass index (BMI, kg/m2) and waist-hip ratio were calculated. At baseline each participant’s height was also measured to the nearest centimetre without shoes.

Descriptive variables

Additional descriptive data included self-reported data about demography, lifestyle (smoking and alcohol) and medical history (consumption of painkillers and co-morbidities). Additionally, clinical data (medical treatment, RA duration, DAS28-score, IgM Rheumatoid Factor and anti-CCP) were obtained from the DANBIO database at Rigshospitalet, Glostrup [42].

Data management and statistical analyses

All data (except for ActivPAL-data and blood test results) were entered directly by the participants and the two assessors through an online interface via a tablet. All data were stored in unidentifiable form (using participant-numbers) in the DANBIO database [42]. The scoring of the standardised questionnaires was carried out according to the guidelines from the instrument developers. ActivPAL-data were processed using the ActivPAL software, version 7.2.32. All calculations were performed using SAS software (v. 9.3; SAS Institute Inc., Cary, NC, USA); descriptive statistics were computed for presentation of participants’ characteristics, including medians, means (M) and standard deviations (SD) for continuous data and frequencies (%) for categorical data. Changes in outcome measures from baseline to follow-up were reported as within-group differences in the intervention and the control group separately, by medians, means (M) and standard deviations (SD), and between-group differences were summarised as mean changes and standard deviations between intervention and control groups.

Results

Recruitment and sample characteristics

The recruitment process commenced on 1st of November 2012 and continued until 28th of January 2013. TT screened 181 medical journals; 107 patients were potentially eligible and invited by letter before 20 were identified as meeting all eligibility criteria and had consented to participate. Reasons for declining study participation were mostly flares, i.e. a worsening in disease activity e.g. painful and tender joints, and lack of time and co-morbidities. The flow of participants through the trial is presented in Fig. 2.

Fig. 2
figure 2

The participants’ flow through the study

Full size image

There were no major differences at baseline between the intervention and the control group in terms of demographic and clinical characteristics (Table 1). All participants completed baseline assessments. One participant in the control group dropped out before end of intervention period due to disease flare. The remaining 19 participants completed post intervention assessment including all self-reported and objective assessments.

Table 1 Baseline characteristics of the participants by allocated group and total. Data are presented as numbers (N) unless otherwise stated
Full size table

Intervention adherence

All intervention participants completed the three individual motivational counselling sessions which ranged from 29 to 102 min (average 68 min). Furthermore, all participants set behavioural goals and planned actions to reduce their daily sitting time. The number of behavioural goals for each participant ranged from 1 to 5. The behavioural goals were reduction of TV-viewing, to go for an evening stroll rather than turning on the TV immediately after dinner, inviting the partner or other family members to join on these strolls, going for an extra walk with the dog, and to work standing up for an hour or two after lunch and to get up more frequently to go to the printer. All ten participants chose to receive text message reminders each week reminding them of their behavioural goals and action plans. Frequency of reminders ranged from 1 to 4 per week for each participant. Examples of behavioural goals and subsequent text message reminders according to the four key messages are provided in the Appendix.

Participants’ response to and evaluation of the intervention

Response to and evaluation of the intervention were obtained through both a) the interviewer-administered log sheets that were collected during the individual motivational counselling session and b) the evaluation questionnaires that were distributed after the intervention (n = 9).

From the individual motivational counselling session we learned that the intervention in general was well accepted by the participants because of its individual approach and limited number (three) of scheduled visits to the hospital. Likewise, meeting the same interviewer throughout all three motivational counselling sessions was welcomed by the participants. The participants understood rather quickly that the main health promoting focus of the intervention was not to increase daily MVPA but a low-intensity approach of increasing light-intensity physical activity by reducing daily sedentary behaviour. All interviewers made efforts to explain this focus during the motivational counselling sessions. However, two participants still had trouble understanding this approach and thus trouble in articulating how they would reduce their sitting time, and they chose a single and more general behavioural goal to reduce sitting time. In addition, all participants reported some changes in daily habits, activities or bodily experiences during or after the intervention. This included e.g. reduced TV-viewing, more walking and more frequent interruptions of sitting time. They considered that these changes had become part of their daily life, but not necessarily easily maintained ones. Regarding text message reminders, the participants’ perception of the messages varied regarding applicability, frequency and quality The participants were satisfied with the wording and content of the messages, and most of the participants felt motivated to pursue their behavioral goals and action plans when receiving the message and they re-read them several times. However, two participants did not use the messages at all after the second counselling session.

From the evaluation questionnaire we found that participants reported physical changes in terms of e.g. reduced pain from back, hips or knees and weight reduction. Two participants reported increased pain from their hips and one experienced increased pain from the knees. They attributed this pain to the increased amount of walking. Eight participants found the frequency and duration of sessions suitable while two expressed a need for more sessions with the interviewer.

Adverse events and completeness of data

Two participants reported redness and itching on the thigh after a couple of days wearing the ActivPAL monitor. Advice about changing the adhesive tape more frequently was given accordingly. Complaints about wearing the ActivPAL monitors did not affect the completeness of ActivPAL-data. All assessor – and participants entered data were complete. Four participants were not familiar with the use of a tablet and chose to report data via a questionnaire in paper format. These data were later entered into the DANBIO database by a project staff.

Outcome measures

The main behavioural and clinical outcomes are presented in Table 2, which shows within-group and between-group changes from baseline to follow-up after the intervention period. The mean change in daily sitting time was −0.30 (SD 1.90) hours per day in the intervention group versus 0.15 (SD 1.43) hours per day in the control group (Table 2). The sample size was too small to draw any valid conclusions on within- and between-group changes in outcome measures. However, the aim of the present study was not to detect effects of the intervention but to study the feasibility of study procedures, and procedures in relation to collection of outcome measures proved feasible and acceptable to participants and staff.

Table 2 Change from baseline in assessed outcomes at end of the 16-week intervention
Full size table

Discussion

The primary aim of this study was to evaluate descriptively the feasibility of recruitment, randomisation, outcome assessments, retention and the acceptability of an individually tailored, theory-based behavioural intervention targeting reduction in daily sedentary behaviour in patients with RA. The study showed that the procedures of recruitment, randomization, outcome assessments, retention and analysis were feasible and that the intervention was well accepted by the participants.

The study sample was relatively homogenous in terms of disease activity, medical treatment, duration of RA and physical function. The tailored approach, accommodating all levels of physical function, cognitive ability and disease activity, was a main feature of the intervention enabling all participants to take part fully. Adherence to the motivational counselling sessions was good and consistent with findings from a recent pilot study testing the effect of motivational counselling on medication adherence in patients with RA [43].

The participants in our study responded positively to the counselling style, especially regarding the individual approach and meeting the same interviewer throughout all sessions. In accordance with this, previous research has shown that patients with RA prefer education about the disease and its treatment and management to be delivered on a one-to-one basis by health professionals [44]. The individual approach enabled our participants to make specific and individual behavioural goals and action plans to reduce their sitting time, comprising simple initiatives such as standing up every half an hour while watching a movie or going for a stroll every evening. However, we cannot be certain whether a group-based intervention and experience sharing between the participants would have facilitated other perspectives on SB, and thus inspired different behavioural goals or approaches in reducing sitting time. Being in a group might have been beneficial for those participants who had difficulty understanding the concept of reduction of SB as an non-exercise health promotion strategy [45] and thus trouble articulating how they would reduce their daily sitting time. During the motivational counselling sessions the interviewers experienced the need to give repeated examples of how to reduce daily sitting that did not necessarily included exercise or MVPA. A consideration for future studies might be to ensure that all motivational interviewers understand how to deliver this information in the best way to the participants. In general, the content, duration and frequency of the motivational sessions appeared to be acceptable, feasible and of benefit.

To the best of our knowledge, this is the first study documenting the use of text message reminders in an intervention targeting reduction of daily SB. A previous pilot study targeting increase in daily physical activity in adults suggested that interventions applying text message reminders on behavioural goals and action plans are not more effective than those without such reminders [46]. However, the text message reminders in that study were generic, and not, as they were in our study, tailored to the individual. In our study, the receipt of the tailored text message reminders was diverse among the participants. We were attentive to let the wording in the messages be as positive as possible, reflecting an assumption that the participants were already carrying out their behavioural goals and action plans. In keeping the intervention as individualized as possible there was no minimum in the frequency of text messages. This could possibly lead to diversity in the intensity of the intervention among the participants. However, a recent systematic review found that message tailoring and personalization and varying message frequency were significantly associated with greater intervention efficacy in physical activity interventions [47]. Finally, Hall et al. (2015) argue in their systematic review that to date no strong recommendations can be drawn on what characteristics work better than others in text message-based interventions [27].

The strengths of this study included using objective measurement of daily sitting time and the two assessors’ considerable experience and expertise in working with patients with RA. In addition, the assessors were blinded to group allocation. We believe that the simple structure of the intervention with only three required visits to the hospital and the flexibility the two assessors displayed in changing assessment schedules in cases of flare was reflected in the good retention rates. Only one participant dropped out due to flare, which was expected due to the fluctuating character of the disease. Even though the participants found the duration of the sessions suitable, the longest lasting motivational counselling session lasted 102 min which must be considered very time-consuming for both research purposes and for a potential implementation of the intervention in clinical practice. When the results from the final clinical study and the cost effectiveness study are available, we will be able to assess the benefits of the intervention comparing to both time spent and patients’ and health professionals’ efforts. A few recruitment challenges need to be addressed. A total of 50 % (n = 53) of the invited patients declined to participate and 45 % (n = 24) of these reported RA-related disease activity as the main reason for doing so. Several of these patients additionally reported that the disease activity was always high during winter. We carried out the recruitment during the winter (November –January), which may have influenced the number of patients willing to participate. Another recruitment challenge was the inclusion criterion of at least four hours of daily leisure-time sitting. This was based on the results from a Danish cross-sectional study showing a median score of four hours of self-reported leisure-time sitting in patients with RA [48]. Of the 28 patients not meeting eligibility criteria after the telephone-based screening, 24 (86 %) were excluded because they reported less than four hours of daily leisure-time sitting. Most of these patients were working full- or part time. Hence, they would have less leisure time per day to spend sitting. However, they could have spent most of their work day sitting and thus, potentially, still achieve health benefits by reducing daily sitting time. Accordingly, only four of the participants in our study were working. Future studies may consider changing this inclusion criterion to cover total daily sitting time and not leisure-time sitting only and to increase the minimum criterion of hours spent sitting during a day.

This feasibility study was not intended to or powered to show a statistically significant reduction in daily sitting time in the intervention group compared to the control group. However, the selection of outcome measures appears to be appropriate and acceptable and potential health benefits of this intervention among people with RA could be safely explored at larger scale. We find it appropriate to conduct a full-scale and sufficiently powered randomised controlled trial to achieve more solid conclusions for behavioural and clinical outcomes.

Conclusion

This randomised controlled feasibility study showed that an individually tailored behavioural intervention targeting reduction of SB was feasible and acceptable to patients with RA. We recommend the testing of a similar intervention in a randomised controlled trial powered to detect an effect on daily sitting time as the primary outcome measure.

Abbreviations

GSES:

General self-efficacy scale

HAQ:

Health assessment questionnaire

HDL:

High density lipoprotein cholesterol

HR-QOL:

Health-related quality of life

LDL:

Low density lipoprotein cholesterol

MI:

Motivational interviewing

MVPA:

Moderate to vigorous physical activity

PAS 2:

Physical activity scale 2

RA:

Rheumatoid arthritis

SB:

Sedentary behaviour

SF36-MCS:

SF36- mental component scale

SF36-PCS:

SF36-physical component scale

VAS:

Visual analogue scale

References

  1. Scott DL, Wolfe F, Huizinga TW. Rheumatoid arthritis. Lancet. 2010;376(9746):1094–108.

    Article  PubMed  Google Scholar 

  2. Hewlett S, Sanderson T, May J, Alten R, Bingham III CO, Cross M, March L, Pohl C, Woodworth T, Bartlett SJ. 'I'm hurting, I want to kill myself': rheumatoid arthritis flare is more than a high joint count--an international patient perspective on flare where medical help is sought. Rheumatology (Oxford). 2012;51(1):69–76. doi:10.1093/rheumatology/keq455.

  3. Michaud K, Wolfe F. Comorbidities in rheumatoid arthritis. BestPractResClinRheumatol. 2007;21(5):885–906.

    Google Scholar 

  4. Linde L, Sorensen J, Ostergaard M, Horslev-Petersen K, Rasmussen C, Jensen DV, Hetland ML. What factors influence the health status of patients with rheumatoid arthritis measured by the SF-12v2 Health Survey and the Health Assessment Questionnaire? J Rheumatol. 2009;36(10):2183–9.

    Article  PubMed  Google Scholar 

  5. Hurkmans E, van der Giesen FJ, Vliet Vlieland TP, Schoones J, Van den Ende EC. Dynamic exercise programs (aerobic capacity and/or muscle strength training) in patients with rheumatoid arthritis. Cochrane Database Syst Rev. 2009;4:CD006853.

    Google Scholar 

  6. Cairns AP, McVeigh JG. A systematic review of the effects of dynamic exercise in rheumatoid arthritis. Rheumatol Int. 2009;30(2):147–58.

    Article  PubMed  Google Scholar 

  7. Sokka T, Hakkinen A, Kautiainen H, Maillefert JF, Toloza S, Mork Hansen T, Calvo-Alen J, Oding R, Liveborn M, Huisman M, Alten R, Pohl C, Cutolo M, Immonen K, Woolf A, Murphy E, Sheehy C, Quirke E, Celik S, Yazici Y, Tlustochowicz W, Kapolka D, Skakic V, Rojkovich B, Muller R, Stropuviene S, Andersone D, Drosos AA, Lazovskis J, Pincus T. Physical inactivity in patients with rheumatoid arthritis: data from twenty-one countries in a cross-sectional, international study. Arthritis Rheum. 2008;59(1):42–50.

    Article  PubMed  Google Scholar 

  8. Prioreschi A, Hodkinson B, Avidon I, Tikly M, McVeigh JA. The clinical utility of accelerometry in patients with rheumatoid arthritis. Rheumatology (Oxford). 2013;52(9):1721–7.

    Article  Google Scholar 

  9. Sedentary Behaviour, Research Network. Letter to the editor: standardized use of the terms "sedentary" and "sedentary behaviours". Appl Physiol Nutr Metab. 2012;37(3):540–2.

    Article  Google Scholar 

  10. Grontved A, Hu FB. Television viewing and risk of type 2 diabetes, cardiovascular disease, and all-cause mortality: a meta-analysis. JAMA. 2011;305(23):2448–55.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Dunstan DW, Barr EL, Healy GN, Salmon J, Shaw JE, Balkau B, Magliano DJ, Cameron AJ, Zimmet PZ, Owen N. Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation. 2010;121(3):384–91.

    Article  CAS  PubMed  Google Scholar 

  12. Healy GN, Dunstan DW, Salmon J, Shaw JE, Zimmet PZ, Owen N. Television time and continuous metabolic risk in physically active adults. Med Sci Sports Exerc. 2008;40(4):639–45.

    Article  PubMed  Google Scholar 

  13. Thorp AA, Owen N, Neuhaus M, Dunstan DW. Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996–2011. Am J Prev Med. 2011;41(2):207–15.

    Article  PubMed  Google Scholar 

  14. Keadle SK, Moore SC, Sampson JN, Xiao Q, Albanes D, Matthews CE. Causes of Death Associated With Prolonged TV Viewing: NIH-AARP Diet and Health Study. Am J Prev Med. 2015;49(6):811–21. doi:10.1016/j.amepre.2015.05.023.

  15. Chau JY, Grunseit A, Midthjell K, Holmen J, Holmen TL, Bauman AE, van der Ploeg HP. Cross-sectional associations of total sitting and leisure screen time with cardiometabolic risk in adults. Results from the HUNT Study, Norway. J Sci Med Sport. 2014;17(1):78–84.

    Article  PubMed  Google Scholar 

  16. Ford ES, Caspersen CJ. Sedentary behaviour and cardiovascular disease: a review of prospective studies. Int J Epidemiol. 2012;41(5):1338–53.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T, Gray LJ, Khunti K, Yates T, Biddle SJ. Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia. 2012;55(11):2895–905.

    Article  CAS  PubMed  Google Scholar 

  18. Martin A, Fitzsimons C, Jepson R, Saunders DH, van der Ploeg HP, Teixeira PJ, Gray CM, Mutrie N. Interventions with potential to reduce sedentary time in adults: systematic review and meta-analysis. Br J Sports Med. 2015;49(16):1056–63. doi:10.1136/bjsports-2014-094524.

  19. Manns PJ, Dunstan DW, Owen N, Healy GN. Addressing the nonexercise part of the activity continuum: a more realistic and achievable approach to activity programming for adults with mobility disability? Phys Ther. 2012;92(4):614–25.

    Article  PubMed  Google Scholar 

  20. Gardiner PA, Eakin EG, Healy GN, Owen N. Feasibility of reducing older adults' sedentary time. Am J Prev Med. 2011;41(2):174–7.

    Article  PubMed  Google Scholar 

  21. Kozey-Keadle S, Libertine A, Staudenmayer J, Freedson P. The Feasibility of Reducing and Measuring Sedentary Time among Overweight, Non-Exercising Office Workers. J Obes. 2012;2012:282303. doi:10.1155/2012/282303.

  22. Otten JJ, Jones KE, Littenberg B, Harvey-Berino J. Effects of television viewing reduction on energy intake and expenditure in overweight and obese adults: a randomized controlled trial. Arch Intern Med. 2009;169(22):2109–15.

    Article  PubMed  Google Scholar 

  23. Chau JY, Daley M, Dunn S, Srinivasan A, Do A, Bauman AE, van der Ploeg HP. The effectiveness of sit-stand workstations for changing office workers' sitting time: results from the Stand@Work randomized controlled trial pilot. Int J Behav Nutr Phys Act. 2014;11:127.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Neuhaus M, Healy GN, Dunstan DW, Owen N, Eakin EG. Workplace sitting and height-adjustable workstations: a randomized controlled trial. Am J Prev Med. 2014;46(1):30–40.

    Article  PubMed  Google Scholar 

  25. Lundahl B, Moleni T, Burke BL, Butters R, Tollefson D, Butler C, Rollnick S. Motivational interviewing in medical care settings: a systematic review and meta-analysis of randomized controlled trials. Patient Educ Couns. 2013;93(2):157–68.

    Article  PubMed  Google Scholar 

  26. Aadahl M, Linneberg A, Moller TC, Rosenorn S, Dunstan DW, Witte DR, Jorgensen T. Motivational counseling to reduce sitting time: a community-based randomized controlled trial in adults. Am J Prev Med. 2014;47(5):576–86.

    Article  PubMed  Google Scholar 

  27. Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: a systematic review of reviews. Annu Rev Public Health. 2015;36:393–415.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Banal F, Dougados M, Combescure C, Gossec L. Sensitivity and specificity of the American College of Rheumatology 1987 criteria for the diagnosis of rheumatoid arthritis according to disease duration: a systematic literature review and meta-analysis. Ann Rheum Dis. 2009;68(7):1184–91.

    Article  CAS  PubMed  Google Scholar 

  29. Aadahl M, Jorgensen T. Validation of a new self-report instrument for measuring physical activity. Med Sci Sports Exerc. 2003;35(7):1196–202.

    Article  PubMed  Google Scholar 

  30. Epstein LH, Roemmich JN. Reducing sedentary behavior: role in modifying physical activity. Exerc Sport Sci Rev. 2001;29(3):103–8.

    Article  CAS  PubMed  Google Scholar 

  31. Bandura A. Health promotion by social cognitive means. Health Educ Behav. 2004;31(2):143–64.

    Article  PubMed  Google Scholar 

  32. Rollnick S, Miller WR, Butler CC. Motivationssamtalen i Sundhedssektoren. Copenhagen: Hans Reitzels Forlag; 2008.

    Google Scholar 

  33. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81–95.

    Article  PubMed  Google Scholar 

  34. Esbensen BA, Thomsen T, Hetland ML, Beyer N, Midtgaard J, Loppenthin K, Jennum P, Ostergaard M, Sorensen J, Christensen R, Aadahl M. The efficacy of motivational counseling and SMS-reminders on daily sitting time in patients with rheumatoid arthritis: protocol for a randomized controlled trial. Trials. 2015;16(1):23.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Grant PM, Ryan CG, Tigbe WW, Granat MH. The validation of a novel activity monitor in the measurement of posture and motion during everyday activities. BrJ Sports Med. 2006;40(12):992–7.

    Article  CAS  Google Scholar 

  36. Lagersted-Olsen J, Korshoj M, Skotte J, Carneiro IG, Sogaard K, Holtermann A. Comparison of objectively measured and self-reported time spent sitting. Int J Sports Med. 2014;35(6):534–40.

    CAS  PubMed  Google Scholar 

  37. Price DD, McGrath PA, Rafii A, Buckingham B. The validation of visual analogue scales as ratio scale measures for chronic and experimental pain. Pain. 1983;17(1):45–56.

    Article  CAS  PubMed  Google Scholar 

  38. Smets EM, Garssen B, Bonke B, De Haes JC. The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue. J Psychosom Res. 1995;39(3):315–25.

    Article  CAS  PubMed  Google Scholar 

  39. Bruce B, Fries JF. The Stanford Health Assessment Questionnaire: a review of its history, issues, progress, and documentation. J Rheumatol. 2003;30(1):167–78.

    PubMed  Google Scholar 

  40. Alonso J, Ferrer M, Gandek B, Ware Jr JE, Aaronson NK, Mosconi P, Rasmussen NK, Bullinger M, Fukuhara S, Kaasa S, Leplege A. Health-related quality of life associated with chronic conditions in eight countries: results from the International Quality of Life Assessment (IQOLA) Project. Qual Life Res. 2004;13(2):283–98.

    Article  PubMed  Google Scholar 

  41. Luszczynska A, Scholz U, Schwarzer R. The general self-efficacy scale: multicultural validation studies. J Psychol. 2005;139(5):439–57.

    Article  PubMed  Google Scholar 

  42. Hetland ML. DANBIO--powerful research database and electronic patient record. Rheumatology (Oxford). 2011;50(1):69–77.

    Article  CAS  Google Scholar 

  43. Ferguson A, Ibrahim FA, Thomas V, Weinman J, Simpson C, Cope AP, Scott DL, Lempp H. Improving medication adherence in rheumatoid arthritis (RA): a pilot study. Psychol Health Med. 2015;20(7):781–9. doi:10.1080/13548506.2015.1009917.

  44. Barlow JH, Cullen LA, Rowe IF. Educational preferences, psychological well-being and self-efficacy among people with rheumatoid arthritis. Patient Educ Couns. 2002;46(1):11–9.

    Article  CAS  PubMed  Google Scholar 

  45. Manns PJ1, Darrah J. A structured process to develop scenarios for use in evaluation of an evidence-based approach in clinical decision making. Adv Med Educ Pract. 2012;3:113–9. doi:10.2147/AMEP.S37510. Print 2012.

  46. Schwerdtfeger AR, Schmitz C, Warken M. Using text messages to bridge the intention-behavior gap? A pilot study on the use of text message reminders to increase objectively assessed physical activity in daily life. Front Psychol. 2012;3:270.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Head KJ, Noar SM, Iannarino NT, Grant Harrington N. Efficacy of text messaging-based interventions for health promotion: a meta-analysis. Soc Sci Med. 2013;97:41–8.

    Article  PubMed  Google Scholar 

  48. Loppenthin K, Esbensen BA, Ostergaard M, Jennum P, Tolver A, Aadahl M, Thomsen T, Midtgaard J. Physical activity and the association with fatigue and sleep in Danish patients with rheumatoid arthritis. Rheumatol Int. 2015;35(10):1655–64. doi:10.1007/s00296-015-3274-5.

Download references

Acknowledgements

We thank the study participants for their support of this research. We thank the following for their contributions to the running of the study: Outcome assessors Berit Bjerg (occupational therapist), Maj-Britt Jensen (occupational therapist) and Interviewers: Mette Madsen (project nurse), Charlotte Frengler (project nurse), Gydda Espersen (project nurse). Also, Morten Christoffersen (communication consultant), Rasmus Kyhn og Thomas Jørgensen (SMS-tracking) and Mikkel Abildtoft (IT-supporter). Furthermore, we thank MSc in Clinical Psychology Torsten Sonne for his expertise and help during the preparation of the motivational counselling sessions and we thank Carsten Agger (Research Centre for Prevention and Health, Rigshospitalet, Glostrup Hospital, Capital Region of Denmark) for processing the ActivPAL-data.

Funding

The study was supported by grants from the Danish Rheumatism Association, the Novo Nordic Foundation, the Lundbeck Foundation, the Research Foundation of the Capital Region of Denmark, the Bevica Foundation, Maersk McKinney Møller Foundation and Glostrup Hospital, Denmark. Musculoskeletal Statistics Unit at the Parker Institute (RC) is supported by grants from the Oak Foundation. The funders had no role in the design of the study or the collection, analysis, and interpretation of data in writing the manuscript.

Availability of data and material

The datasets generated during and/or analyzed during the current study are not publicly available but are available upon request to the last author (BAE).

Authors’ contributions

All authors made contributions in the conception and design of the study. TT was responsible for study logistics and data collection, assisted in analysing the data and drafted the manuscript. MAA provided guidance on the collection, analysis and interpretation of ActivPAL-data. RC provided guidance in the analysis of data and how to interpret and report a feasibility study. All authors read, revised and approved the final manuscript.

Authors information

Ph.D. Tanja Thomsen (TT), Rigshospitalet, Ndr. Ringvej 57, Building 5, 2600 Glostrup, DK. Email: tanja.thomsen01@regionh.dk

Associate Professor, Mette Aadahl (MA), Glostrup Hospital, Ndr. Ringvej 57, building 84/85, 2600, Glostrup, DK. Email: mette.aadahl@regionh.dk

Associate Professor, Nina Beyer (NB), Bispebjerg & Frederiksberg Hospitals, Bispebjerg Bakke 23, 2400 Copenhagen NV, DK. Email: ninabeyer@oncable.dk

Professor, Merete Lund Hetland (MLH), Rigshospitalet, Ndr. Ringvej 57, Building 5, 2600 Glostrup, DK. Email: merete.hetland@dadlnet.dk

Ph.D., Katrine Bjerre Løppenthin (KL), Rigshospitalet, Ndr. Ringvej 57, Building 5, 2600 Glostrup, DK. Email: katrine.bjerre.loeppenthin@regionh.dk

Associate Professor, Julie Midtgaard (JM), Department 9701 (UCSF), Blegdamsvej 9, 2100 Copenhagen Ø, DK. Email: julie@ucsf.dk

Professor, Robin Christensen (RC), The, Parker Institute, Bispebjerg og Frederiksberg Hospital, Nordre Fasanvej 57, Building 19, 1st Floor, 2000 Copenhagen F, DK. Email: robin.christensen@regionh.dk

Research Manager, Bente Appel Esbensen (BAE), Rigshospitalet, Ndr. Ringvej 57, building 5, 2600 Glostrup, DK. Email: bente.appel.esbensen@regionh.dk

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

All study participants provided written informed consent to participate. The study was reported to the Danish Data Protection Agency (ref.nb. 711-1-08) and was approved by the Danish Health Research Ethics Committee System (ref.nb. H-2-2012-112) and was performed in compliance with the Helsinki Declaration.

Author information

Authors and Affiliations

  1. Copenhagen Center for Arthritis Research (COPECARE), Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Ndr. Ringvej 57, DK-2600, Glostrup, Denmark

    T. Thomsen, M. L. Hetland, K. Løppenthin & B. A. Esbensen

  2. Research Centre for Prevention and Health, Rigshospitalet, The Capital Region of Denmark, Glostrup, Denmark

    M. Aadahl

  3. Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

    M. Aadahl & J. Midtgaard

  4. Musculoskeletal Rehabilitation Research Unit, Bispebjerg and Frederiksberg Hospitals, University of Copenhagen, Copenhagen, Denmark

    N. Beyer

  5. Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

    N. Beyer, M. L. Hetland & B. A. Esbensen

  6. The DANBIO registry, Center for Rheumatology and Spine Diseases, Centre for Head and Orthopaedics, Rigshospitalet, Ndr. Ringvej 57, DK-2600, Glostrup, Denmark

    T. Thomsen & M. L. Hetland

  7. University Hospitals Centre for Health Research, Copenhagen University Hospital, Rigshospitalet, Glostrup, Denmark

    J. Midtgaard

  8. Musculoskeletal Statistics Unit, The Parker Institute, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Copenhagen, Denmark

    R. Christensen

Authors
  1. T. Thomsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Aadahl
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. N. Beyer
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. M. L. Hetland
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. K. Løppenthin
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. J. Midtgaard
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. R. Christensen
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. B. A. Esbensen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to T. Thomsen.

Appendix

Table 3 Examples of the participants’ goals and subsequent SMS-reminders according to the four key messages
Full size table

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Thomsen, T., Aadahl, M., Beyer, N. et al. Motivational counselling and SMS-reminders for reduction of daily sitting time in patients with rheumatoid arthritis: a descriptive randomised controlled feasibility study. BMC Musculoskelet Disord 17, 434 (2016). https://doi.org/10.1186/s12891-016-1266-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12891-016-1266-6

Keywords

BMC Musculoskeletal Disorders

ISSN: 1471-2474

Contact us