Skip to main content

Feasibility and thematic analysis of narrative visualization materials with physical activity monitoring among breast cancer survivors

Abstract

Background

Breast cancer survivors have a unique risk for negative health outcomes. Engaging in routine physical activity (PA) can reduce these risks. However, PA levels are low among this population. Narrative visualization (NV) is a technique that uses drawings, photographs, and text to contextualize data, which may increase integrated regulation, or motivation related to personal values and identity. A PA intervention targeting breast cancer survivors using an NV strategy may improve PA behavior. The purpose of this study was to determine whether scrapbooking activities could successfully be used as an NV strategy for older (55+) breast cancer survivors.

Methods

Breast cancer survivors were given workbooks, wearable electronic activity monitors, instant cameras, and art supplies including a variety of stickers (e.g., emojis, affirmations). Participants were instructed to use these materials for 7 days. The workbook pages prompted participants to re-draw their daily activity graphs from the wearable’s mobile app, then annotate them with text, photographs, stickers, etc. to reflect what the data meant to them. Hybrid thematic analysis was used to analyze the photographs, drawings, and written content to identify emergent themes. Content analysis was also used to investigate use of stickers and photographs.

Results

Of the 20 consented women (mean age 67 ± 5 years, 45% non-Hispanic white), 3 participants were lost to follow-up or unable to complete the procedures. The NV procedures were successfully utilized by the remaining 17 participants, who collectively used 945 stickers over 7 days, most of which were emojis. Emojis were both positively and negatively valanced. Participants took a mean of 9 photos over 7 days and completed workbook questions regarding current PA and PA goals. Themes within the photos included family, specific locations, everyday objects, religion, and friends. Themes within the written portions of the workbook included family, chores and obligations, health, personal reflection, hobbies, and shopping.

Conclusions

The materials provided allowed breast cancer survivors to successfully use NV techniques to reflect on their PA data and behavior. These techniques show promise for promoting integrated regulation in activity monitoring interventions.

Trial registration

This study was funded by the National Cancer Institute (R21CA218543) beginning July 1, 2018.

Peer Review reports

Background

To reduce the risk of disease recurrence, protect against long-term treatment side effects as well as deficits in health-related quality of life, it is recommended that breast cancer survivors engage in at least 150 minutes per week according to the American Cancer Society (ACS) [1]. Moreover, considering that the majority of breast cancer survivors are over age 65, physical activity may also reduce or manage age-related comorbidities such as cardiovascular disease [2, 3]. In fact, based on a large body of observational studies, physical activity is associated with reduced all-cause and breast cancer-specific mortality [4]. An equally impressive evidence base of randomized controlled trials points to the positive effects of physical activity on physiology as well as subjective measures of psychological outcomes and quality of life [5]. While the evidence for the beneficial associations and effects of exercise and physical activity is overwhelming [6, 7], the literature also highlights that adherence to the ACS physical activity guidelines is problematic, between 16 and 35% [8, 9]. For instance, while estimates vary based on specific study condition, it is generally believed that only 35% of survivors meet the ACS recommendations and that adherence is especially low among older breast cancer survivors [9, 10]. Of note, adherence to the standard 150 minutes/week of moderate-level physical activity (PA) is lower in breast cancer patients than US adults (49%) including those 65 and older (39%) [11]. Similarly, adherence, particularly long-term adherence (1 year or longer), to even supervised PA interventions and exercise programs is low among breast cancer survivors, especially older breast cancer survivors [9].

Because barriers to adherence are widely identified, interventions have been designed to address participants’ motivational factors to increase habitual PA and thus, improve the long-term health of breast cancer survivors, particularly those who are at higher risk for non-adherence (e.g., older and more obese survivors). A common strategy in the motivation literature draws on psychological processes related to self-regulation and self-efficacy which may play an important role in PA engagement for breast cancer survivors including adherence [12]. Self-regulation is the process of guiding one’s own behaviors to reach goals, particularly by managing disruptive emotions or impulses [13]. Essentially, this is goal-driven behavior where the long-term goal drives behavioral choices even when feeling fatigued or otherwise tempted to give up. Similarly, self-efficacy relates to one’s beliefs in their own capabilities to successfully engage in a predetermined course of action [14]. PA interventions based on self-regulation typically involve setting PA goals, monitoring PA, and receiving meaningful feedback on progress [15]. With the increasing usage of wearable electronic activity monitors (e.g. FitBit), this feedback most often takes the form of displays showing percentages toward a predetermined goal. The software interface for these devices also typically shows charts of steps per day, comparisons to previous days, as well as weekly and monthly trends [16].

Interventions that use goal setting, self-monitoring, and routine feedback appear to produce short-term increases in PA, but rarely do they accomplish long-term behavioral change [17,18,19]. These programs may be limited by lack of guidance in the use and interpretation of the self-monitoring charts and data. Several studies have suggested that a lack of such guidance is a major reason why individuals stop using PA monitors [20, 21]. Breast cancer survivors have also reported that they reduced adherence to self-regulation behaviors once they were no longer accountable to interventionists [22]. This population further reports that they want their PA goals to be contextualized as part of their larger, value-based life goals [23, 24]. Breast cancer survivors also face unique barriers related to their identities. Changes to the body, particularly body parts associated with femininity, can greatly alter perceptions of identity [18, 25], which may in turn impact PA.

Self-Determination Theory (SDT) provides a framework for a more motivation-related perspective on behavior change intervention [19]. This theory postulates that motivation can range from fully internal or intrinsic, which is one’s inherent drive to seek out challenges, to fully external or extrinsic, where motivation comes entirely from external sources. Higher levels of more autonomous forms of motivation (e.g., closer to intrinsic) tend to predict long-term, self-regulated adherence to PA [26]. Thus, it is critical to establish autonomy when PA is being introduced and integrated into routine behavior [27]. The most autonomous type of extrinsic regulation is called integrated regulation, or motivation related to personal values and identity. Integrated regulation is associated with engagement in regular PA over time [28]. While this form of targeted motivation is understudied in older adult cancer survivors, several studies suggest that it may address limitations in current intervention strategies for PA maintenance in this population [29,30,31]. However, while standard self-regulation interventions are well-suited to produce behavior change initiation, they are not capable of facilitating long-term PA maintenance [32].

When it comes to self-monitoring PA, using less numerical feedback and more visual feedback for storytelling and emotional self-expression (e.g. photos, drawings, stickers) may appeal to the “qualified self” rather than the “quantified self” that is commonly discussed in regard to PA self-monitoring [33, 34]. A novel way to use this self-monitoring as a form of motivation targeting integrated regulation among breast cancer survivors is narrative visualization (NV), a process of using annotation to help tell a story related to data presentation [35, 36]. NV uses drawings, photographs, and annotation to contextualize data. For example, one study used a scrapbook that included photographs and text annotating each photo and found that this process helped individuals find patterns in their daily arousal and relaxation [37]. Other investigators used an app that prompted users to regularly look at old photographs and add new annotations. These investigations found that this process led to greater reflection and improved well-being [38]. The annotation of photographs was also more acceptable and effective at clarifying personal values than written survey methods [39]. A growing cross-disciplinary evidence base suggests that adding visuals in the form of photographs and/or drawings can promote engagement with and reflection on data; thus, a PA intervention targeting breast cancer survivors that uses an NV strategy may be successful in improving long-term PA behavior.

We developed an intervention built upon self-monitoring techniques using wearable devices to include narrative visualization techniques that targeted integrated regulation for improving PA among breast cancer survivors. Because adherence is particularly low among older breast cancer survivors, we focused this pilot study on those over age 55 [11]. The purpose of this study was to explore the feasibility of using of scrapbooking activities as an NV strategy for older breast cancer survivors over a 7-day period. We also investigated themes from the completed scrapbook pages to explore the impacts of PA on their daily lives and to refine intervention materials for future studies.

Methods

Study design and population

Twenty participants were recruited based on the following eligibility criteria: [1] age between 55 and 79 years, [2] self-identify as female, [3] self-reported diagnosis of breast cancer, [4] no self-reported disabilities or other physical barriers to performing PA, [5] report < 150 minutes of moderate-vigorous physical activity per week, [6] able to read and understand English, [7] daily access to a smartphone or similar device compatible with the self-monitoring app used, and [8] cleared to participate as determined by the Physical Activity Readiness Questionnaire+. Sociodemographic information was self-reported to study coordinators during initial screening. The study protocol was approved by the university’s institutional review board, and all participants provided written informed consent.

Procedures

Participants were given an instant camera with film (FujiFilm Instax or Kodak Printomatic) to take photographs that reflect their values, a decorative carrying bag, and a workbook containing pages to attach photographs and document their daily PA over the 7-day period. To artfully decorate their photos and daily PA logs, participants were also provided various art supplies such as stickers, colored pens, photo corner stickers and decorative adhesive tape (Fig. 1). Stickers included sheets of various emojis (e.g., smiley faces, food, hearts), positive affirmations (e.g., “You go girl!”, “Believe In Yourself”), and fitness-themed affirmations (e.g., running shoes, bicycles, dumbbells). The fitness and affirmation stickers came from standard packs of planner stickers, such as those available from The Happy Planner (https://thehappyplanner.com/) and Avery (https://www.avery.com/) companies.

Fig. 1
figure 1

Instant camera, activity monitor, and art supplies. (Note: this photograph was taken by the investigators)

Additionally, participants received a wearable activity monitor (Garmin Vivoactive or FitBit Aspire) to monitor their daily steps. The purpose of the activity monitor was not to objectively assess their step count but subjectively measure participants’ experience with using the device. Participants were assisted in fitting the monitor onto their wrists and installing the associated software (either Garmin Connect or Fitbit) onto their smartphone. Participants were also shown how to access their step data so they could log their daily activity into their workbooks. The paper workbook consisted of two parts: an introductory values clarification exercise and daily logs. The initial values clarification exercise asked participants to take 10 photographs using the instant camera reflecting their matters of importance in their everyday life [39]. They were purposefully not provided detailed instructions to allow for their own interpretation. They were then asked to affix the photographs into their workbooks using the provided supplies and asked to write out notes or annotations about what those photographs represented and how they reflect things they value in life. For the daily logs, a blank graph was provided so participants could draw their daily progress in terms of steps taken over the course of the day along with any annotations or stickers they wanted to use. In addition, a set of three questions each day was provided for participants to assess how active they were, why they think they were or were not active, and to elaborate on what impacted decisions about activity. Since the focus was on the feasibility of using of the materials provided, participants were not given any recommendations for daily PA goals; instead, they were encouraged to write notes, indicate times activities started or ended, and use stickers to show what happened throughout the day, how they felt, or anything else they would like to record. Reflection questions were provided each day for participants to reflect on their activity at the end of the day, as well as after the 7 days as shown in Table 1.

Table 1 Reflection prompts

Participants were given the choice to use or not use whatever materials they preferred over the 7 continuous days. Workbooks were then returned, and the pages subsequently digitized for analysis.

Data analysis

We chose to treat workbook pages in a method similar to the products of photovoice interventions, which also include expressive photographs and text [40]. Content analysis of stickers was conducted by two independent coders, abstracting information on number of stickers and logging each sticker by an assigned name (e.g., heart eyes smiley, rolling eyes emoticon). The two coders met to assign emojis to the categories of positive (smiles for mouth, hearts for eyes, etc.) or ambivalent/negative (frowns or lines for mouths, etc.). A hybrid thematic analysis approach, including purely inductive analysis as well as deductive analysis based on a priori themes expected based on the theoretical framework of the intervention (SDT) that informed coders’ thinking was used to analyze photographs, drawings, and written content provided by the participants (NVivo 12 Pro, QSR International). We were testing intervention materials that were created specifically to target theoretical constructs; hence, we expected responses related to those constructs. Further, we anticipated responses based on previous responses in earlier pilot studies of similar materials that formed the basis of this intervention. This approach resulted in a priori themes from SDT related constructs which included: social relationships, mastery/growth, spirituality. Because this qualitative analysis was performed specifically as part of a process of intervention materials refinement, it was necessary to include a deductive element. This approach was pragmatic rather than post-positivist or constructivist, with a focus on discovering information that would be effective for refining intervention materials for future studies. Codes were developed by two independent coders (JRB and EJL) by identifying people, places and things that were photographed, and by iteratively reading through the comments made by participants to identify recurring themes. The inductive codes were developed based on specific values and identities mentioned by the participants; hence, all codes were related to the SDT concept of integrated regulation. To ensure methodological rigor, a the coders met regularly to negotiate the codebook during the iterative coding process, and a final meeting was held to resolve all differences in coding. Then, illustrative quotes were selected for each major theme identified. The intervention was deemed feasible if the participants successfully completed the procedures as instructed. Again to ensure methodological rigor, the qualitative and quantitative portions of this analysis were performed sequentially, with the quantitative investigation of the stickers coming first, followed by qualitative investigations of photographs followed by the text. In addition, synthesis was sequential, with the quantitative content analyses occurring first because of the nature of the questions. The quantitative feasibility questions (will participants use these materials) needed to be ‘yes’, essentially, for the qualitative analyses (‘how do they use the materials’) to be possible. Findings regarding sticker use informed the coders’ thinking regarding themes when reviewing the text of the workbooks. Finally, quantitative analyses were not used to interpret themes developed from the qualitative portion as these methodologies represent different aspects of the data collected; however, both were used in the overall synthesis of findings.

Results

Of the 20 consented women (mean age 67 ± 5 years, 45% non-Hispanic white), 1 participant was lost to follow-up due to medical complications, 1 did not return phone calls, and 1 was unable to complete the procedures due to cultural barriers (preferred to communicate via spouse). Since the latter participant chose to let her male spouse answer the questions regarding feasibility and preferences, we judged her data not to be interpretable as personal reflection and the intervention not culturally appropriate for her.

Quantitative results

The NV procedures using both photos and written prose were universally accepted. Participants took a mean of 9 photos over 7 days (range: 4–10) and completed workbook questions regarding current PA and PA goals (Fig. 2). All participants completed all of the daily pages, though one printed her own pages that combined the two (so she had 8 pages instead of 15) and one forgot to do the weekly log at the end. Though all the daily pages were completed, not all were completed in the way we expected. Three participants drew bar charts rather than line charts, 1 printed out the line chart from the app and pasted it in the workbook, one wrote in numbers on the chart with no line, one made a bar chart on her computer then printed it and pasted it in, and one pasted photographs instead of a chart.

Fig. 2
figure 2

Example workbook pages with faces obscured

There were a total of 945 stickers used by all participants (mean ± SD per participant: 56 ± 49; range: 0–180). Almost half of these were emoji stickers (48.6%), most of which were positive themed (e.g., smileys, winks, laughing, blowing kiss, halo, star-struck, face with tongue, zany face, open hands, etc.); of the 459 emojis, 136 (29.7%) were negative themed (e.g., frown, anguished, worried, tired, disappointed, crying, etc.) (Fig. 3). There were also a substantial amount of stickers used that reflected positive or exercise-related sayings (n = 228, 24.1% of the total stickers; e.g., “Live Healthy”, “Just Do It”, “Be Strong”).

Fig. 3
figure 3

Emoji sticker usage

Qualitative results

Photos

All participants successfully took photographs using the instant cameras and pasted at least one photograph into the workbook. Several participants included their failed photographs in addition to later, more successful tries. The most commonly occurring themes in the photographs were family, specific locations, everyday objects that held personal significance, religion, and friends.

Photos of family included spouses, children and grandchildren, other immediate family members, “chosen” family (i.e., individuals unofficially adopted into the family), and pets. A participant wrote next to photographs of her family, “My babies, my loves and who give my life meaning they make me laugh – they have been with me through my cancer fight.” Another participant wrote of her pet dog, “She loves me unconditionally, and reminds me of how much I love animals and how awesome I felt when I could save her. She is saving me now – she doesn’t leave my side. It’s important that while my world is crashing, I remember hers revolves around me, so I have to get my stuff together!”

Specific locations included photos of participants’ home, churches, gardens, the beach, and interesting places they passed. One participant pasted a picture of a tree on her walking path and wrote, “It is old with many branches like me. Older – many branches of my life. Peaceful and quiet. I feel good looking at it – peaceful – I love the shade as if God is covering me.” Another participant wrote, “This is the fountain in front of [name redacted] church. I brought my mom to church everyday, and we loved this fountain. It is peaceful to just sit by it. Mom passed away [date redacted] without ever knowing I have cancer. I sat here today after taking this picture & ‘talked’ to mom about it.”

Everyday objects included beds, books, clothing, flowers, computers, hats for local sports teams, etc. A participant wrote, “These roses are very meaningful to me. I planted them when I was sick on treatment. They blossomed all winter and have given the new hope ‘I can blossom in & out of season.’”

Religious photos often overlapped with other themes, such as specific locations and everyday objects (e.g., churches and Bibles). One participant took a picture of her church foyer and wrote, “I took this while attending church. My faith i [s] very important to me and a big part of my life, beliefs, values, morals, and salvation!” Another used an image of the inside of her church and wrote, “Religion. My church. Such an important part of my life. Growing in faith connecting with the lost, and helping those in need as we communicate God’s word through education, sacraments, worship, praise, and fellowship.”

While friends were often mentioned along with family, there were some photos where friendships were highlighted. For example, one participant wrote, “Friendship. I look at this picture and see trust, a mentor, a person so different from me, but so like me. Everyone needs a [name redacted]!” Another participant captioned, “One of my oldest friends. I’ve known him since he was 6 years old. Son of my best friend. Love this man! Love remembering the good times we had with him and his wife (and mother and dad when they were alive).”

Written text in the “values clarification” section and “daily/weekly activity” pages

To connect values from the photographs to daily PA, thematic analysis of written text in the values clarification section and text and drawings from the daily reflections revealed that participants felt that family had the largest impact on their PA. This was followed by: chores and obligations, health and illness, personal reflection, hobbies or activities, and shopping. These themes were discussed in the context of important aspects of the participants’ lives and also in journal form as things that occurred during the course of their days. For example, a participant might discuss religion as important to her and paste a photo of her Bible in the values clarification section, then mention going to church in her Wednesday and Sunday journal entries. Illustrative quotes of these concepts are provided in Table 2.

Table 2 Major themes found in participants’ written workbook text

Regarding the family theme, grandchildren were repeatedly mentioned in the workbooks as being significant factors for PA. There was also an emphasis among several participants on individuals who were chosen to be family by the participants. Several participants discussed friends who were instrumental in their health goals, and they often discussed the friends in terms of their importance regarding their commitments or obligations.

Hobbies and activities (not directly related to PA) were also frequently mentioned as part of their personal reflection. Hobbies and activities included gardening, shopping, and service to community via ministry or volunteering.

Discussion

The purpose of this study was to explore the feasibility of scrapbooking activities as an NV strategy for older breast cancer survivors and identify themes from the completed scrapbook pages to explore the impacts of PA on their daily lives. This formative research revealed that the NV procedures, which are part of an intervention to increase integrated motivation regarding PA, were successfully utilized by all the breast cancer survivors in this study. These survivors understood the workbook instructions and were able to use the provided supplies as intended. Participants took approximately 9 of the expected 10 photos for the week—again, showing evidence for feasibility. Moreover, they also completed all of the expected 15 workbook pages, except for one missed weekly log page, and used an unexpectedly large number of stickers to illustrate their pages.

Regarding the utilization of supplies provided, considering that participants were instructed to record and annotate their daily PA in their workbooks, the high frequency use of fitness and motivation stickers was not surprising. However, it was surprising that they chose to use near equal numbers of positively and negatively themed emoji stickers possibly due to widespread use of emojis in modern text communications and a related feeling of comfort using them to express feelings, both good and bad [41]. In addition, cancer survivors tend to experience a large range of emotions as they adjust to life after cancer, particularly given the painful treatment process and related negative side effects [42]. Perhaps capitalizing on their positive emotions and giving meaning to their negative emotions could increase autonomous motivation to improve PA by building personal resources for coping (ref); thus, using NV may assist participants in contextualizing their feelings and their activity levels. In fact, enhancing positive emotions has been shown to increase adherence to PA (ref). With this in mind, the tendency for the breast cancer survivor population to use both negative and positive emojis to communicate their feelings warrants further study.

Several participants experienced a learning curve when using the instant cameras for the values clarification portion of the workbooks; since the cameras were preloaded with 10-packs of film when dispensed, there were usually fewer than 10 photos included in the workbooks. However, all participants expressed how they enjoyed and valued this part of the study. Huldtgren et al. suggested that decision making could be improved by focusing on personal values; similarly, the photographs taken as part of our study inspired the participants to reflect on their values [39]. In addition, Issacs et al. found their participants to benefit from photojournalism since the images served as reminders of positive experiences [38]. Here, photos of participants’ family were often featured, which agrees with the literature showing family to be a significant motivator for PA adoption and maintenance [33, 34]. These investigators also found friends to be significant motivators, again similar to our findings.

Participants used nearly all the space provided for them to draw their daily step charts and to answer questions about their daily activity. These results are in line with previous findings in the communications and human-computer interaction fields, which showed that individuals who self-monitored wanted options for storytelling and emotional self-expression [43, 44] and scaffolding to help them get from receiving new information to acting upon that information [45, 46]. Participants used photos, drawings, stickers, and text to reflect on their values as well as their identity, integrating them with their PA data to tell stories about their lives [47]. This process, as mentioned previously, reflects what has been called the “qualified self,” as opposed to the “quantified self” that is commonly discussed in regard to PA self-monitoring [48, 49]. Robertson et al. found that cancer survivors’ preferences differed from current standards used in application development for mobile devices in that they preferred value-based rather than numeric goals [24]. They also preferred PA data to be interpreted and contextualized. Here, numerical PA data was similarly one part of a larger set of data that described our participants’ attitudes towards PA and how it fit in with other mundane aspects of their day-to-day lives such as chores, shopping, and daily non-PA related activities. Further, they discussed these stories in the context of larger issues, such as family obligations, religion, and the impact of illness on their lives.

Weight loss was not identified as a major theme, though it is often the primary theme of many PA-related programs. Breast cancer survivors in this study were more focused on spending time with family and felt that improving their physical health could improve the quality of this time. They also focused on how their health impacted their PA. For example, several participants commented on how going to physician appointments or helping others go to their physician appointments negatively impacted their ability to do PA. In addition, whether they felt good or bad after these appointments also directly impacted their attitude toward their own PA goals.

These findings have several potential implications for future studies. PA interventions among the cancer survivor population should consider how activity monitors are utilized by the participants. While this study was not designed to document these effects, Lazar et al. suggest that numerical data, particularly those focused on calories or steps, may be less meaningful to most participants than visual data such as graphs and progress charts [50]. Activity monitor manufacturers provide several types of visual data in their applications, but current research rarely focuses on these aspects.

The tactile nature of our visualization procedures also suggests several potential areas of future research. The stickers we provided were extremely popular. It is not clear whether virtual stickers would have a similar impact to the tactile feeling of sticking a physical sticker to a piece of paper. We adopted a hybrid approach to this study, with electronic data collection but hard copies of all scrapbooking materials. As part of this decision process, we opted to use instant cameras with printed out photos rather than digital photos. In addition to comparing actual quantitative activity data, future studies may wish to investigate differences between purely digital scrapbooking, for example using an app like Day One (https://dayoneapp.com), as opposed to tactile scrapbooking such as was used here.

While the feasibility of this novel NV technique and insights gained from the utilization of the materials as noted above are the strengths of this study, it also had some limitations. First, this was a formative study focused on the basic feasibility of a novel intervention and thus, interpretations are limited by the small sample size. Second, since the primary goal was to simply evaluate utilization, the duration of usage was relatively short (7 days). Additionally, since this study was focused on the feasibility of using the materials, no measurement for motivation was obtained. Third, an unexpectedly large proportion of participants (three of the twenty) were lost to follow up despite this being a very short-term study. While this was unexpected and is unusual based on previous studies, we believe that the loss of contact with one participant and the loss of another to an acute health issue were likely chance occurrences. The third lost participant provided important information in that the scrapbooking activities were culturally inappropriate for her, which provided insight for future studies in this population (e.g., exclusion criteria added during recruitment, or adaptation of NV strategies to be more broadly culturally acceptable or tailored to specific cultures). Finally, since our target population is older women breast cancer survivors, generalizability is limited in age and gender. Additional research is needed to investigate whether these materials and procedures are feasible in other populations.

Conclusions

In conclusion, the materials provided to the breast cancer survivors allowed them to successfully use NV techniques to reflect on their PA data and behavior. These techniques warrant further investigation as potential tools for promoting integrated regulation in activity monitoring interventions.

Availability of data and materials

De-identified data from this study are not available in a public archive; interested researchers may request access to the text portions of the data set per IRB standards by emailing the principal investigator (ellyons@utmb.edu).

Abbreviations

BC:

Breast Cancer

NV:

Narrative Visualization

PA:

Physical Activity

SDT:

Self-Determination Theory

References

  1. Rock CL, Thomson C, Gansler T, Gapstur SM, McCullough ML, Patel AV, et al. American Cancer Society guideline for diet and physical activity for cancer prevention. CA Cancer J Clin. 2020;70(4):245–71.

    Article  PubMed  Google Scholar 

  2. Leach CR, Weaver KE, Aziz NM, Alfano CM, Bellizzi KM, Kent EE, et al. The complex health profile of long-term cancer survivors: prevalence and predictors of comorbid conditions. J Cancer Surviv. 2015;9(2):239–51.

    Article  PubMed  Google Scholar 

  3. Patnaik JL, Byers T, DiGuiseppi C, Dabelea D, Denberg TD. Cardiovascular disease competes with breast cancer as the leading cause of death for older females diagnosed with breast cancer: a retrospective cohort study. Breast Cancer Res. 2011;13(3):R64.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Ballard-Barbash R, Friedenreich CM, Courneya KS, Siddiqi SM, McTiernan A, Alfano CM. Physical activity, biomarkers, and disease outcomes in cancer survivors: a systematic review. J Natl Cancer Inst. 2012;104(11):815–40.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Fong DY, Ho JW, Hui BP, Lee AM, Macfarlane DJ, Leung SS, et al. Physical activity for cancer survivors: meta-analysis of randomised controlled trials. BMJ. 2012;344:e70.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. CMAJ. 2006;174(6):801–9.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Barbaric M, Brooks E, Moore L, Cheifetz O. Effects of physical activity on cancer survival: a systematic review. Physiother Can. 2010;62(1):25–34.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Tarasenko Y, Chen C, Schoenberg N. Self-reported physical activity levels of older Cancer survivors: results from the 2014 National Health Interview Survey. J Am Geriatr Soc. 2017;65(2):e39–44.

    Article  PubMed  Google Scholar 

  9. Boyle T, Vallance JK, Ransom EK, Lynch BM. How sedentary and physically active are breast cancer survivors, and which population subgroups have higher or lower levels of these behaviors? Support Care Cancer. 2016;24(5):2181–90.

    Article  PubMed  Google Scholar 

  10. Mason C, Alfano CM, Smith AW, Wang CY, Neuhouser ML, Duggan C, et al. Long-term physical activity trends in breast cancer survivors. Cancer Epidemiol Biomark Prev. 2013;22(6):1153–61.

    Article  Google Scholar 

  11. Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, 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;39(8):1423–34.

    Article  PubMed  Google Scholar 

  12. Anderson ES, Wojcik JR, Winett RA, Williams DM. Social-cognitive determinants of physical activity: the influence of social support, self-efficacy, outcome expectations, and self-regulation among participants in a church-based health promotion study. Health Psychol. 2006;25(4):510–20.

    Article  PubMed  Google Scholar 

  13. Bandura A. Social cognitive theory of self-regulation. Organ Behav Hum Decis Process. 1991;50(2):248–87.

    Article  Google Scholar 

  14. Bandura A. Self-efficacy: the exercise of control. New York: W H Freeman/Times Books/ Henry Holt & Co; 1997. ix, 604–ix.

  15. McAuley E, Blissmer B. Self-efficacy determinants and consequences of physical activity. Exerc Sport Sci Rev. 2000;28(2):85–8.

    CAS  PubMed  Google Scholar 

  16. Lyons EJ, Lewis ZH, Mayrsohn BG, Rowland JL. Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis. J Med Internet Res. 2014;16(8):e192.

    Article  PubMed  PubMed Central  Google Scholar 

  17. van der Bij AK, Laurant MG, Wensing M. Effectiveness of physical activity interventions for older adults: a review. Am J Prev Med. 2002;22(2):120–33.

    Article  PubMed  Google Scholar 

  18. Brunet J, Sabiston CM, Burke S. Surviving breast cancer: women's experiences with their changed bodies. Body Image. 2013;10(3):344–51.

    Article  PubMed  Google Scholar 

  19. Ryan RM, Deci EL. Self-determination theory: basic psychological needs in motivation, development, and wellness. United Kingdom: Guilford Publications; 2018.

    Google Scholar 

  20. Rapp A, Cena F. Personal informatics for everyday life: how users without prior self-tracking experience engage with personal data. Int J Hum Comput Stud. 2016;94:1–17.

    Article  Google Scholar 

  21. Lazar A, Koehler C, Tanenbaum J, Nguyen DH. Why we use and abandon smart devices. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing; Osaka, Japan. 2804288: ACM; 2015. p. 635–46.

    Chapter  Google Scholar 

  22. Terranova CO, Lawler SP, Spathonis K, Eakin EG, Reeves MM. Breast cancer survivors’ experience of making weight, dietary and physical activity changes during participation in a weight loss intervention. Support Care Cancer. 2017;25(5):1455–63.

    Article  PubMed  Google Scholar 

  23. Midtgaard J, Rossell K, Christensen JF, Uth J, Adamsen L, Rorth M. Demonstration and manifestation of self-determination and illness resistance--a qualitative study of long-term maintenance of physical activity in posttreatment cancer survivors. Support Care Cancer. 2012;20(9):1999–2008.

    Article  PubMed  Google Scholar 

  24. Robertson MC, Tsai E, Lyons EJ, Srinivasan S, Swartz MC, Baum ML, et al. Mobile health physical activity intervention preferences in Cancer survivors: a qualitative study. JMIR Mhealth Uhealth. 2017;5(1):e3.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Laranjeira CA, Leao PP, Leal I. The “Silenced” voices of women cancer survivors: bodily experiences from an existential perspective. Res Theor Nurs Pract. 2013;27(3):173–92.

    Article  Google Scholar 

  26. Teixeira PJ, Carraça EV, Marques MM, Rutter H, Oppert JM, De Bourdeaudhuij I, et al. Successful behavior change in obesity interventions in adults: a systematic review of self-regulation mediators. BMC Med. 2015;13:84.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Fortier MS, Sweet SN, O’Sullivan TL, Williams GC. A self-determination process model of physical activity adoption in the context of a randomized controlled trial. Psychol Sport Exerc. 2007;8(5):741–57.

    Article  Google Scholar 

  28. Miquelon P, Chamberland P-É, Castonguay A. The contribution of integrated regulation to adults’ motivational profiles for physical activity: a self-determination theory perspective. Int J Sport Exerc Psychol. 2017;15(5):488–507.

    Article  Google Scholar 

  29. Spark LC, Reeves MM, Fjeldsoe BS, Eakin EG. Physical activity and/or dietary interventions in breast cancer survivors: a systematic review of the maintenance of outcomes. J Cancer Surviv. 2013;7(1):74–82.

    Article  PubMed  Google Scholar 

  30. Wilson PM, Rodgers WM, Loitz CC, Scime G. It's who I am … really!’ The importance of integrated regulation in exercise Contexts1. J Appl Biobehav Res. 2006;11(2):79–104.

    Article  Google Scholar 

  31. Duncan LR, Hall CR, Wilson PM, Jenny O. Exercise motivation: a cross-sectional analysis examining its relationships with frequency, intensity, and duration of exercise. Int J Behav Nutr Phys Act. 2010;7:7.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Caldwell AE, Masters KS, Peters JC, Bryan AD, Grigsby J, Hooker SA, et al. Harnessing centred identity transformation to reduce executive function burden for maintenance of health behaviour change: the maintain IT model. Health Psychol Rev. 2018;12(3):231–53.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Rogers LQ, Markwell S, Hopkins-Price P, Vicari S, Courneya KS, Hoelzer K, et al. Reduced barriers mediated physical activity maintenance among breast cancer survivors. J Sport Exerc Psychol. 2011;33(2):235–54.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Pinto BM, Ciccolo JT. Physical activity motivation and cancer survivorship. In: Physical activity and cancer: Springer; 2010. p. 367–87.

    Chapter  Google Scholar 

  35. Rodriguez MT, Nunes S, Devezas T. Telling stories with data visualization. In: Proceedings of the 2015 Workshop on Narrative &#38; Hypertext; Guzelyurt, Northern Cyprus. 2804567: ACM; 2015. p. 7–11.

    Chapter  Google Scholar 

  36. Segel E, Heer J. Narrative visualization: telling stories with data. IEEE Trans Vis Comput Graph. 2010;16(6):1139–48.

    Article  PubMed  Google Scholar 

  37. Stahl A, Hook K, Svensson M, Taylor AS, Combetto M. Experiencing the affective diary. Pers Ubiquit Comput. 2009;13(5):365–78.

    Article  Google Scholar 

  38. Isaacs E, Konrad A, Walendowski A, Lennig T, Hollis V, Whittaker S. Echoes from the past: how technology mediated reflection improves well-being. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; Paris, France. 2466137: ACM; 2013. p. 1071–80.

    Chapter  Google Scholar 

  39. Huldtgren A, Wiggers P, Jonker CM. Designing for self-reflection on values for improved life decision. Interact Comput. 2014;26(1):27–45.

    Article  Google Scholar 

  40. Novek S, Morris-Oswald T, Menec V. Using photovoice with older adults: some methodological strengths and issues. Ageing Soc. 2012;32:451–70.

    Article  Google Scholar 

  41. Derks D, Bos AER, von Grumbkow J. Emoticons in computer-mediated communication: social motives and social context. Cyber Psychol Behav. 2008;11(1):99–101.

    Article  Google Scholar 

  42. Lepore SJ. A social–cognitive processing model of emotional adjustment to cancer. Psychosocial interventions for cancer. Washington, DC: American Psychological Association; 2001. p. 99–116.

    Google Scholar 

  43. Kersten-van Dijk E, IJsselsteijn WA. Design beyond the numbers: sharing, comparing, storytelling and the need for a quantified us, vol. 29: IxD&A; 2016. p. 121–35.

    Google Scholar 

  44. Elsden C, Kirk DS, Durrant AC. A quantified past: toward design for remembering with personal informatics. Hum Comput Interact. 2016;31(6):518–57.

    Article  Google Scholar 

  45. Kersten-van Dijk ET, Westerink JH, Beute F, IJsselsteijn WA. Personal informatics, self-insight, and behavior change: a critical review of current literature. Hum Comput Interact. 2017;32(5–6):268–96.

    Article  Google Scholar 

  46. Hollis V, Konrad A, Springer A, Antoun M, Antoun C, Martin R, et al. What does all this data mean for my future mood? Actionable analytics and targeted reflection for emotional well-being. Hum Comput Interact. 2017;32(5–6):208–67.

    Article  Google Scholar 

  47. Rapp A, Tirassa M. Know thyself: a theory of the self for personal informatics. Hum Comput Interact. 2017;32(5–6):335–80.

    Article  Google Scholar 

  48. Sharon T, Zandbergen D. From data fetishism to quantifying selves: self-tracking practices and the other values of data. New Media Soc. 2017;19(11):1695–709.

    Article  Google Scholar 

  49. Humphreys L. The qualified self: social media and the accounting of everyday life: MIT press; 2018.

    Book  Google Scholar 

  50. Lazar A, Koehler C, Tanenbaum J, Nguyen D. Why we use and abandon smart devices. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing: ACM; 2015. p. 635–46.

    Chapter  Google Scholar 

Download references

Acknowledgements

This research was conducted as part of the doctoral dissertation requirements of the first author. He would like to thank his dissertation committee for their valuable insight and guidance. In addition, the authors would like to acknowledge the student interns who helped with participant enrollment and data collection as part of their Master of Science program in the Nutrition and Metabolism department at the University of Texas Medical Branch.

Funding

This study was funded by an award from the National Cancer Institute (R21CA218543). It was also supported by the Claude D. Pepper Older Americans Independence Center (P30AG024832), UTMB’s Clinical and Translational Science Award (TR001439), and the Sealy Center on Aging. Additional salary support for Dr. Lyons was provided by a Mentored Research Scholar Grant in Applied and Clinical Research (MRSG-14-165-01-CPPB) from the American Cancer Society and R01AG064092 from the National Institute on Aging. Additional salary support for Dr. Yu is supported by a research career development award (K12HD052023: Building Interdisciplinary Research Careers in Women’s Health Program-BIRCWH; Berenson, PI) from the National Institutes of Health/Office of the Director (OD)/National Institute of Allergy and Infectious Diseases (NIAID), and Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Contributions

JB collected, analyzed, and interpreted the data used for this study and was a major contributor in writing the manuscript; XY provided statistical interpretation of the data and substantively revised the manuscript; AK provided interpretation of the methodology and results and substantively revised the manuscript; BD and JP both contributed to interpretation of the manuscript; and EL both conceived and designed the study, and was a major contributor in the analysis and interpretation of the collected data. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jason R. Bentley.

Ethics declarations

Ethics approval and consent to participate

All procedures performed were in accordance with the ethical standards of the 1964 Helsinki declaration and approval was obtained by the Institutional Review Board of the University of Texas Medical Branch.

Written informed consent was obtained from all individual participants included in the study.

Consent for publication

No identifying information for an individual participant is included in this manuscript.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bentley, J.R., Yu, X., Karmarkar, A.M. et al. Feasibility and thematic analysis of narrative visualization materials with physical activity monitoring among breast cancer survivors. BMC Cancer 22, 553 (2022). https://doi.org/10.1186/s12885-022-09629-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12885-022-09629-7

Keywords