A qualitative study of perceived barriers and facilitators to interrupting sedentary behavior among adults living with obesity
Abstract
Introduction
Both obesity and sedentary behavior (SB) are associated with negative health consequences including cardiovascular disease, diabetes, certain cancers and all-cause mortality. To date, perceived barriers and facilitators to interrupting SB in adults living with obesity have not been identified.
Objective
This study aimed to identify these perceived barriers and facilitators by conducting a behavioral analysis underpinned by the theoretical domains framework (TDF) and the Capability, Opportunity, Motivation-Behavior (COM-B) model to enhance knowledge and inform future intervention development.
Methods
A purposive and snowball sample (N = 21) of adults living with obesity took part in semi-structured interviews, guided by the TDF, to investigate perceived barriers or facilitators to interrupt SB. Transcribed interviews were inductively coded using reflexive thematic analysis. Key themes and subthemes were generated by grouping similar and recurring codes. Finally, subthemes were mapped to the TDF and COM-B.
Results
Five key themes were identified, which influence SB across all domains of living. These relate to (i) physical and mental wellbeing; (ii) motivational readiness; (iii) roles, responsibilities and support; (iv) weight bias and stigma; and (v) the environment. These themes were then deductively mapped to all 14 TDF domains and all six of the COM-B constructs.
Conclusion
A complex interplay of individual, societal and policy factors contributes to the development and habituation of SB patterns in adults living with obesity. Factors identified in this study could assist in the development of interventions, strategies and policies designed to interrupt or reduce sedentary behavior in this population.
1 INTRODUCTION
Sedentary Behavior (SB) and obesity are inextricably linked in the scientific literature, media and societal attitudes.1, 2 This association, simplified in the tagline, ‘eat less, move more’, became the panacea for obesity and maxim by which people with obesity were judged in healthcare and across society.3 However, the simplicity of the message is at odds with the complexity of the disease of obesity and indeed the behaviors with which it is linked, including SB.
Although much is known about both obesity and SB, there are many gaps in the research regarding SB in the population who have established obesity. There is little evidence regarding SB correlates or interventions to interrupt SB in this population, and to date no qualitative studies have been published regarding the barriers and facilitators to interrupting SB in this group. Moreover, no published studies have used theoretical frameworks to provide a behavioral analysis and potential intervention constructs for sedentary behavior change in this population. This study addressed these gaps.
The complexity of the factors that influence both obesity and SB and indeed the directionality of the link between SB and obesity are not well understood. Nonetheless, both decreasing SB and obesity are public health priorities globally. Currently, the World Health Organization (WHO) includes recommendations to minimize SB in their physical activity (PA) guidelines.4 Sedentary behavior, independent of physical activity levels, is associated with diabetes, cardiovascular risk and mortality,5-7 depression,7, 8 anxiety9 and poor health-related quality of life.7, 10 Studies have shown that minimizing or interrupting SB by standing and/or movement breaks can reduce cardio-metabolic risk factors, at least in the short term.11
While research and knowledge regarding the determinants and correlates of sedentary behavior continues to grow,12, 13 there is little published research specific to adults living with obesity. A recent systematic review exploring factors that are associated with SB in adults living with obesity, identified only 12 studies with few and weak associations, found no evidence for a consistent association and found no qualitative studies examining SB associations in this population.14 Furthermore, while qualitative studies have focused on perceived determinants of weight loss,15 obesity management,16 physical activity,17 healthy lifestyle or nutrition18 in adults with obesity or adolescents,19 few use a theoretical framework from study design through analysis.20, 21
Evidence for the effectiveness of SB interventions is also mixed or lacking, particularly outside the workplace,22 and although some non-workplace interventions show promise, few target adults with obesity or explicitly report theoretical constructs23 which would enhance replicability. Hence, to better understand SB in adults living with obesity, it is essential to consider their perspectives to appreciate how their beliefs, experiences, events, resources and context influence this behavior. Indeed, recent guidance by the UK Medical Research Council emphasized the importance of engaging with the target population and detailing the mechanisms of action (i.e., how and in what contexts interventions are effective) when designing interventions for a complex behavior such as sedentary behavior.24
The use of theoretical frameworks in research can help provide transparency regarding the inclusion of particular constructs and mechanisms of action, which provide valuable information regarding effective behavior change techniques or active ingredients for inclusion in behavior change interventions. A number of frameworks exist which can facilitate contextual behavioral analysis and intervention design processes. The behavior change wheel was developed from 19 frameworks of behavior change25 with the aim of synthesizing common features to provide a model of behavior that can be applied to a range of behaviors and settings. At the core of the behavior change wheel is the COM-B (Capability, Opportunity, Motivation-Behavior) model, which holds as the central tenet, that for any behavior to occur all of the components, capability (physical and psychological), opportunity (physical and social) and motivation (reflective and automatic), must be present, while behavior change necessitates a change in at least one of the components.26 This COM-B behavioral analysis provides the foundation for identifying intervention functions (i.e., means by which an intervention can change behavior e.g., education) and supportive policies (e.g., environmental/social planning).
When required, for example, in complex behaviors such as SB or conditions such as obesity, the Theoretical Domains Framework (TDF) provides a more comprehensive analysis of the determinants of behavior and behavior change at an individual, community, and organizational level alongside the external influences on behavior, such as the environment.26, 27 The validated TDF of 14 behavior change domains was developed and refined by expert consensus from 33 behavior change theories of 128 theoretical constructs.27, 28 The domains and constructs of the TDF align to the COM-B components and identify ‘what needs to change’ to bring about behavior change.
By mapping the perceived barriers and facilitators of a particular behavior to the TDF and COM-B, intervention functions and behavior change techniques (i.e., potentially active ingredients of interventions, e.g., instruction on how to perform the behavior),29 which are likely to be acceptable and effective, can be identified and implemented. This combined approach has been used previously to investigate perceived barriers and facilitators to breaking up sitting time for desk-based workers30 and to develop and implement a successful intervention to reduce sitting time in the workplace.31, 32 No published studies have used this approach to investigate sedentary behavior outside the workplace and no qualitative studies to date have sought the perspectives of adults with obesity regarding their experience of the barriers and facilitators to interrupting SB. This qualitative study therefore, aimed to identify these perceived barriers and facilitators by conducting a behavioral analysis underpinned by the TDF and COM-B model, to enhance knowledge and inform future person and theory-based intervention development.
2 MATERIALS AND METHODS
The Standards for Reporting Qualitative Research (SRQR) 21 items checklist was used to ensure transparency in this research from the initial design of the study through to manuscript completion33 (available in Appendices Table S1).
2.1 Research paradigm
To construct a rich understanding of the factors that influence sedentary behavior among adults with obesity, a critical realist approach was adopted. This qualitative approach focuses on the core concepts of experiences, events and causal mechanisms.34 Experiences are defined as the perceptions of adults with obesity, events as the things that happen in the real world (e.g., SB), and causal mechanisms are the means that produce the events (e.g., factors resulting in SB).35, 36 Critical realism allows researchers to gain access to a complex social world of causal interactions through ‘richly textured accounts of events, experiences and underlying conditions or processes’.37
2.2 Study design
Twenty-one semi-structured in-depth interviews with adults with obesity were conducted through May and June 2022. Adults with obesity are recognized by University College Dublin (UCD) Human Research Ethics Committee (HREC-LS-21-100) as a vulnerable population for research purposes; hence, individual interviews rather than focus groups were conducted to encourage openness and richness regarding the individual's lived experience. To broaden access to participation, interviews were conducted online via video-conferencing.
2.3 Participants and recruitment
To identify potential participants, a purposive sampling strategy targeting adults with current or past history of a BMI ≥35 kg/m2 was employed. This cut-point, was chosen to investigate challenges associated with moderate or severe obesity, since BMI and severity of obesity are potentially associated with SB and consistently associated with reduced PA.14
Initially, GO’D invited the participation of the Irish Coalition of People living with Obesity (ICPO), an advocacy group which provides education, awareness and support to people living with obesity. Thereafter, the ICPO committee acted as gatekeepers by circulating leaflets advertising the study to members across a broad demographic range of age, gender, occupation and urban/rural residence. Subsequently, FC invited potential or actual participants to snowball the advert to further potential participants at their discretion. Inclusion criteria were adults (≥18 years) who self-identified as living with obesity, defined in the advert for the study as now or in the past a body mass index (BMI) ≥35 kg/m2 which impacts health, wellbeing or enjoyment of life or activities. To gather valuable perspectives regarding SB associated with relapse or remission of obesity, participants who lost excess weight were included, even if their current BMI was ≤35 kg/m2.
To determine that the sample size of 21 was sufficient to achieve the study aims, the principles of information power were applied including reflexive discussion among the research team during data collection. That is, the study aims were specific and relatively narrow (identify barriers and facilitators to interrupting SB in adults with obesity), a purposive, highly specific population was used, the interview was supported with established theory (TDF) which was applied flexibly to elicit an in-depth dialog, and reflexive appraisal for information power was conducted after every 3 interviews.38, 39 Thus, a minimum number of 12 interviews were planned. Interviews 19–21 contained no new information determining that the sample size was sufficient. Participants received a nominal voucher in line with the UCD reimbursement policy for public/patient participation in research.
2.4 Materials
An interview topic guide was developed using the Theoretical Domains Framework (TDF).26, 39 Additionally, non-TDF questions were included to richly contextualize perceptions about patterns of SB, how SB and obesity interplay, and ideas about interrupting SB.40 The questions were open ended, and the interview style was flexible and reflexive to encourage the participants' expression through their own narrative. Prior to commencing the study, FC conducted two pilot interviews observed by GO’D. This resulted in amendments to some interview questions and inclusion of additional prompts to identify perceptions about the directionality of SB associations, causal mechanisms and the TDF domains. (Interview guide available in appendices Table S2).
2.5 Procedure
Potential participants who contacted FC via phone or email received an information sheet and a consent form for deliberation. FC answered any questions and once participants returned the signed consent form, they were sent a link to a secure online survey platform (Qualtrics), to collect demographic data prior to interview. FC conducted all the interviews. The mean duration of the interview was 48.0 min (SD = 7.6). FC documented reflective notes immediately following each interview.
2.6 Data analysis
Descriptive statistics were used to summarize the demographic data. Recorded interviews were transcribed verbatim, anonymized, then analyzed in Microsoft word and Microsoft Excel using reflexive thematic analysis (TA).41, 42 This type of analysis is aligned with the philosophical approach of critical realism which can be used to accurately explore the participant's empirical world, while engaging with underlying themes, concepts, and theory that can inform interventionist programs.43 Salient phrases, sentences and paragraphs were inductively identified to develop first order codes from all transcripts. Following review and discussion with GO’D, CB and JM, FC continued the analysis to generate second order codes, returning to the raw data to enhance understanding. Codes with a shared pattern of meaning were grouped into candidate themes by FC. The research team then refined themes and subthemes by iterative discussion and collaboratively agreed and defined final themes. Each subtheme was then deductively mapped by FC to the TDF domains and COM-B. Any disagreement over domains was resolved through discussion with the other members of the research team.
3 RESULTS
3.1 Participant demographics
In total, 21 adults with obesity completed interviews. Participants included 15 females and six males, ranging in age from 31 to 64 years (mean = 48.9 years SD 10.8). Most participants (n = 19) scored ≥2 on the Edmonton obesity staging system (EOSS), which incorporates the physical, psychological, functional and quality of life impact of obesity.44 The median EOSS score was 3. Mean ‘highest ever’ BMI was 55.5 kg/m2 (SD 10.0) and mean ‘at interview’ BMI 42.0 kg/m2 (SD 11.6). Four participants reported BMI <35 kg/m2 at interview, while 13 had prior bariatric surgery. The mean total daily sitting time of participants was 471.0 min (SD 211.7) on a weekday and 387.0 min (SD 197.1) on a weekend day, self-reported using the International Sedentary Assessment Tool (ISAT).45, 46 Detailed information relating to participants' sedentary time and its domains is included in Table 1.
Total participants | Stratified by past bariatric surgery | Stratified by gender | |||
---|---|---|---|---|---|
n = 21 | No (n = 8) | Yes (n = 13) | Male (n = 6) | Female (n = 15) | |
Age (years) | |||||
Mean (SD) | 48.9 (10.8) | 47.6 (12.2) | 49.7 (10.2) | 51.2 (13.8) | 48.0 (9.7) |
Range | (31–64) | (34–63) | (31–64) | (34 – 64) | (31–63) |
EOSS | |||||
Median (SD) | 3 (0.9) | 4 (1.2) | 3 (0.8) | 3 (1.2) | 3 (0.9) |
Range | (1-4) | (1–4) | (1–4) | (1–4) | (1–4) |
BMI (Kg/m2) | |||||
Highest ever* | |||||
Mean (SD) | 55.5 (10.0)* | 55.2 (14.0)* | 55.6 (7.8) | 48.1 (6.7) * | 57.9 (9.9) |
Range | (40.1–76.4)* | (40.5–76.4)* | (40.1–66.3) | (40.1–58.0)* | (40.5–76.4) |
At interview | |||||
Mean (SD) | 42.0 (11.6) | 50.1 (13.9) | 37.0 (6.5) | 35.2 (6.1) | 44.7 (12.3) |
Range | (27.9–70.7) | (35.5–70.7) | (27.9–46.4) | (27.9–42.6) | (28.5–70.7) |
ISAT (minutes) | |||||
Weekday SB screentime | |||||
Mean (SD) | 304.3 (210.1) | 386.3 (309.9) | 253.8 (101.5) | 360 (308.3) | 282 (165.0) |
Range | (60–960) | (60–960) | (120–480) | (60–960) | (120–720) |
Weekend SB screentime | |||||
Mean (SD) | 290 (197) | 386.3 (265.2) | 230.8 (117.1) | 320 (220.2) | 278 (193.9) |
Range | (0–720) | (0–720) | (0–420) | (120–720) | (0–720) |
Weekday SB transportation | |||||
Mean (SD) | 189 (250.2) | 300 (311.4) | 120.8 (185.8) | 210.0 (267.7) | 180.7 (252.1) |
Range | (0–840) | (30–840) | (0–720) | (60–720) | (0–840) |
Weekend SB transportation | |||||
Mean (SD) | 106.7 (127.1) | 101.3 (78.5) | 110.0 (152.6) | 170.0 (216.1) | 81.3 (63.2) |
Range | (0–600) | (0–240) | (0–600) | (60–600) | (0–240) |
Weekday SB reading | |||||
Mean (SD) | 88.6 (138.6) | 142.5 (205.2) | 55.4 (65.8) | 130.0 (231.3) | 72.0 (85.5) |
Range | (0–600) | (0–600) | (0–240) | (0–600) | (0–240) |
Weekend SB reading | |||||
Mean (SD) | 75.9 (94.1) | 78.8 (105.1) | 74.1 (91.1) | 95.5 (120.2) | 68.0 (85.2) |
Range | (0–300) | (0–300) | (0–240) | (0–300) | (0–240) |
Weekday sitting total** | |||||
Mean (SD) | 471.0 (211.7) | 557.1 (287.2) | 424.6 (151.9) | 530.0 (219.4) | 445.7 (211.4) |
Range | (120–900) | (120–900) | (240–600) | (300–900) | (120–840) |
Weekend sitting total** | |||||
Mean (SD) | 387.0 (197.1) | 488.6 (284.5) | 332.3 (108.5) | 380.0 (129.6) | 390.0 (224.2) |
Range | (180–960) | (180–960) | (240–600) | (240–600) | (180–960) |
3.2 Interview results
Five key themes comprising 12 subthemes were generated from the patterned codes relating to barriers and facilitators to minimize/interrupt sedentary behavior in adults with obesity. These subthemes were mapped to the 14 domains of TDF and the COM-B. Table 2 provides an overview and Table S3 identifies barriers and facilitators (supporting information S1).
Theme | Subtheme | Mapped to TDF | COM-B |
---|---|---|---|
1. Physical and mental wellbeing affects SB and the ability to move; (Perceptions about physical and psychological factors affecting SB) |
1.1 Mechanics for movement and the experience of pain influences SB; |
|
|
1.2 Medical and metabolic factors influence SB and movement; |
|
|
|
1.3 Mental wellbeing influences SB and movement; |
|
|
|
2. Motivational readiness to change SB; (Perceptions about motivating factors affecting SB) |
2.1 Knowledge and beliefs about SB, obesity and the ability to move influence SB; |
|
|
2.2 Willingness, intention and action to change SB; |
|
|
|
3. Roles, responsibilities and support for movement influence SB; (Perceptions about social and professional roles affect SB) |
3.1 social and familial roles and responsibilities influence SB; |
|
|
3.2 social support for movement influences SB; | Social influences (conformity, comparison, support, identity) | Opportunity (social) | |
3.3 occupational roles influence SB habit formation; | Professional role and identity | Motivation (reflective) | |
4. Perceptions about weight bias and stigma influence SB; (Perceptions about negative attitudes to obesity affect SB) |
4.1 stigmatizing social experiences of obesity influences SB; |
|
|
4.2 identifying as an active or inactive person and internalized bias influences SB; |
|
|
|
5. Environmental and external factors influence SB; (Perceptions about physical, cultural and policy factors affect SB) |
5.1 Built and natural surroundings influence ability to change SB; | Environmental context and resources (environmental stressors, resources, climate) | Opportunity (physical) |
5.2 Financial, organizational and political factors influence ability to change SB; | Environmental context and resources (resources/culture) | Opportunity (physical) |
3.3 Theme 1 physical and mental wellbeing affects SB and the ability to move
Three subthemes are presented in relation to how physical and mental wellbeing influence participants' capability to interrupt SB and move more. Physical factors encompass both mechanics and pain and medical and metabolic factors.
3.3.1 Subtheme 1.1 mechanics for movement and the experience of pain influences SB
‘I'm not in pain when I'm sitting down, you see. So I tend to sit a lot like’. (PID006). ‘Navigating steps is very difficult for me with my hip….. and just, 25 stone and 5 feet, it's very difficult for me to get back upward again’. (PID010)
3.3.2 Subtheme 1.2 medical and metabolic factors influence SB and movement
I have swollen legs, a lot of fluid on my legs, so I would sit on the recliner here, probably from half six in the morning through till eleven o'clock at night’ (PID003)
3.3.3 Subtheme 1.3 mental wellbeing influences SB and movement
‘In my 30s was when depression hit the most, and I was about 25 stone and I spent my days just watching television, sitting all day’ (PID003)
Pretty much for the day, I just get up and make sure the house was clean. That was my exercise because I was embarrassed as well. I didn't want it to look to him that I was doing nothing all day, even though I was doing nothing all day. (PID011)
3.4 Theme 2. Motivational readiness to change SB
This theme identifies participants' perceptions regarding internal and external motivators to minimize sedentary behavior and the readiness to actually change SB. Two subthemes are identified.
3.4.1 Subtheme 2.1 knowledge and beliefs about SB, obesity and the ability to move influence SB
‘First, well, sedentary behaviour would be a lifestyle that isn't very active, really. It would be either you don't have a job that's very active, or you don't participate in a lot of sports after working in the evening’s. (PID019)
People think that people living with obesity are lazy, and they don't move because they don't want to. But very often we don't move because we can't, or we can do much, much less movement than a thinner person could do. (PID004)
3.4.2 Subtheme 2.2 willingness, intention and action to change SB
But for me, the big changer has been the coming to the understanding that this is not completely my fault. (PID009)
3.5 Theme 3. Roles, responsibilities and support for movement influence sedentary behavior
Participants described how their roles and responsibilities contributed to the development of their SB and influenced their ability to minimize SB. Familial/social responsibility, occupational and voluntary roles, including providing formal or informal support for others with obesity, were cited both as barriers and facilitators to minimizing SB. Three subthemes are identified.
3.5.1 Subtheme 3.1 social and familial roles and responsibilities influence SB
I found myself caring for my father. This is where the sedentary lifestyle starts biting. My father suffers from dementia. As he declined and became more needy, my life shrunk. I was sitting in the house all day long, looking after dad (PID010)
3.5.2 Subtheme 3.2 social support for movement influences SB
I do think having encouragement, having people to move with you or supporting you and it doesn't have to be in any great shakes. (PID017)
3.5.3 Subtheme 3.3 occupational roles influences SB habit formation
‘It's a long, long day. So I'd be working from 9:00 until 7:00. I'd be just wrecked when I get home. I'd be really tired, really sore, and the next day, I probably wouldn't get up out of bed until midday. I'd be awake, but I wouldn't get out of bed until midday. So, I suppose that counts as sitting as well’. (PID004)
3.6 Theme 4. Perceptions about weight bias and stigma influences SB
This theme relates to perceptions about negative attitudes, stereotypes, and stigmatizing experiences of living with obesity, which influence the willingness to minimize SB. Two subthemes are identified.
3.6.1 Subtheme 4.1 stigmatizing social experiences of obesity influences SB
Whereas I know for a fact, at my full weight, if I was traveling on a train, I'd hate kind of walking down that aisle. I'd dread it you know. So I would sit. Again, I'd sit there really, really tensely. (PID006)
3.6.2 Subtheme 4.2 identifying as an active or inactive person and internalized bias influences SB
How tiring is it every day to pretend you're okay? To put a smile on and be all like, we see it for years, the fat, jolly person. When the majority of it is a front. And that takes a whole different energy in itself to get through the day. (PID003)
3.7 Theme 5. The environment and external factors influence SB
The majority of participants identified environmental factors which contribute to the development of SB or act as barriers or facilitators to reduce SB. Two subthemes are identified.
3.7.1 Subtheme 5.1 built and natural surroundings influence ability to change SB
Flat, and good foot paths. Yeah. It makes it a whole lot easier. (PID008). Just to have a seat on any bench or something for a couple of minutes. (PID022)
3.7.2 Subtheme 5.2 organizational, financial, and political factors influence ability to change SB
Bariatric surgery in this country is very expensive. You're talking €20,000 or something like that. But obesity is a condition and as well, when you're going for this surgery, you have to have comorbidities as well. (PID014)
4 DISCUSSION
This qualitative study identifies perceived barriers and facilitators to interrupting sedentary behavior for adults living with obesity, mapping them to the TDF and the COM-B model. Five key themes were identified, which influence SB across all domains of living, relating to (i) physical and mental wellbeing; (ii) motivational readiness; (iii) roles, responsibilities, and support; (iv) weight bias and stigma; and (v) the environment.
4.1 Physical and mental wellbeing
The most challenging perceived barriers to minimizing SB identified lay within the theme of physical and mental wellbeing, namely pain (attributed predominantly to inadequately or untreated musculoskeletal conditions), lack of energy (attributed predominantly to medical or metabolic conditions), and the impairment of mental wellbeing. Pain, lack of energy and reduced mental wellbeing have previously been indicated as barriers to PA and healthy lifestyle in adults with obesity47, 48 and cited as contributory to sedentary lifestyle for adults with obesity49 while the number of co-morbidities was associated with increased sedentary time for adults with severe obesity.50 Perceived poor physical functioning is also associated with seeking bariatric surgery versus lifestyle intervention for severe obesity.51 Moreover, mobility limitations, pain or discomfort, impairments in sleep or energy, and anxiety are reported to mediate the relationship between SB and depression.52 Similar to previous studies, participants experienced delayed, ineffective or lack of treatment, and lack of access to care for underlying medical or mental health conditions53, 54 which they perceived affected their ability to reduce their SB. This care gap precipitated a prolonged and significant deterioration in SB for many participants, associated with a decline in health, function, quality of life and obesity. This is an important consideration for intervention designers as it is likely that even when motivated and focused on behavioral change targets, adults with obesity may lack physical or psychological capability to engage in non-SB.
This study suggests that when adults living with obesity believe they lack the capability to change their SB, it could be considered a red flag in obesity care since they may already lack the physical or psychological capability to engage in adequate non-SB or may be on the precipice of a marked decline in their physical and/or mental wellbeing. In either case, clinical investigation or intervention may be warranted. A further challenge exists in identifying this red flag, since this stigmatized group may hide the extent of their SB, as revealed by a number of participants in this study. A recent study by Dolezal suggests that the experience of living with a health-related stigma is best characterized by shame anxiety or the chronic anticipation of shame, that is, fear of one's shameful secret, circumstances or personal history being discovered by a health professional.55
It is also worth noting that while perceptions about physical and mental wellbeing revealed a lack of self-efficacy or confidence to change their SB, for most participants these beliefs about capabilities were based on an assumption that non-sedentary behavior is synonymous with physical activity, sport, or exercise. At an individual level, intervention components which target beliefs about capabilities, particularly self-efficacy, offer potential to interrupt SB, and have previously shown potential for physical activity engagement,56 while a key component may be instruction on how to perform the behavior, a promising behavior change technique in the review of interventions to reduce sitting time by Gardner et al.22
4.2 Motivational readiness
One of the most evident, and perhaps more easily addressed barriers to minimizing SB in this population is lack of knowledge, a barrier also reported in a recent systematic review of non-workplace SB interventions.57 The knowledge deficit related to sedentary behavior, guidelines about SB, the negative consequences of SB, the independent health benefit to non-SB, as well as how to interrupt the behavior. Despite the lack of specific knowledge, similar to prior studies of workplace sitting time30, 32 participants were often aware that they were sitting too much, that too much sitting was not good and some expressed a willingness to change it. Participants were mostly unable to discriminate between being non-sedentary versus physically active, spoke almost exclusively about PA when asked about interrupting SB, and discounted short breaks in SB for example, comfort breaks or standing. However, some participants who described a value on mobility or belief that ‘all movement matters’ tended to participate in less SB or less prolonged SB, particularly in the home. This approach developed following periods of poor mobility or poor function due to health. A similar ‘value on mobility’ was recently reported for adults with osteoarthritis who perceived that the physical and psychological aspects of SB were interwoven with those of physical activity and who were trying to preserve mobility by keeping active.58 This ‘value on mobility’ may be a particularly important maxim for adults with obesity during times of injury or when mobility has declined or is at risk of decline due to obesity related complications such as osteoarthritis.
Disconnecting non-sedentary behavior from physical activity may also be an important consideration for obesity care. Clinicians should tailor advice to adults with obesity regarding non-sedentary behavior versus physical activity as this may be an important management tool in the maintenance of function, mobility, and quality of life, particularly when pain or co-morbidity is present. Furthermore, systematic reviews suggest that interventions specifically designed to reduce SB show more promise to reduce SB22 or are more effective to reduce sedentary time59 than PA interventions or combination interventions. Intervention designers should also include educational components, including various ways to interrupt/minimize SB and in various contexts. While ‘goal setting behavior’ may be a promising behavior change technique for SB interventions,60 setting SB goals independent of weight loss may be important since participants tended to have less prolonged SB if their motivation to move was not for weight loss. Indeed, many adults with obesity hold unrealistic weight loss expectations, and when unsuccessful, unhealthy lifestyle behaviors including SB deteriorate.49
4.3 Roles, responsibilities and support
Social and professional responsibilities tended to be prioritized over the participants' health or wellbeing, contributing to the development of habitual SB, unhealthy habits and weight gain, which is similar to prior research.61 Competing family responsibilities have previously been cited as a barrier to physical activity.17, 62 Appropriate social support tended to be perceived as a facilitator to minimizing SB, across all settings, which is similar to a recent study where individualized healthcare support, fellowship and peer support were perceived by participants as essential to the success of a lifestyle behavioral change self-management program for adults with obesity.63 While lower levels of social support have previously been identified as a barrier to physical activity engagement for overweight and obese women,64 lack of access to appropriate social support was identified in this present study as a barrier to interrupting SB. Intervention components which enable self-care while balancing competing responsibilities should be investigated for future SB interventions for adults with obesity. Positive encouragement and reinforcement, may enhance acceptability and adherence to SB guidelines for adults with obesity.
4.4 Weight bias and stigma
While weight bias and stigma experienced by adults with obesity is increasingly reported in the literature and contributes to poor health outcomes,65, 66 and feelings of guilt, embarrassment, shame and worthlessness,67 it has also been reported to contribute to poorer lifestyle choices and increased sedentary time.53 Almost all participants perceived bias or stigma as a barrier to interrupting SB with experience of negative emotions, prior negative experiences, or negative social influences acting as negative reinforcement. Similar to prior research54, 68-70 participants reported weight bias in all domains of life, social and physical activity avoidance due to weight bias and stigma71-73 and experienced shame and humiliation while dining out.74 Additionally, participants in this study revealed remaining sedentary, avoiding even basic comfort breaks while in public, in social settings, or on public transport due to fear of not fitting, embarrassment, weight bias, and stigma. This complex barrier will require the development of person-centered intervention components at multiple levels to address both internal and external biases. Therapeutic approaches which include self-compassion and self-acceptance may be indicated. Acceptance and commitment therapy has been indicated to help individuals to develop coping skills in other chronic conditions75, 76 and obesity acceptance and management,77, 78 while narrative inquiry and development of counter-narratives have the potential to assist adults with obesity to resist damaged social identities and demand respect, dignity, and fair treatment.72 However, a parallel approach to reducing societal weight bias and development of environments and policies which are accessible and inclusive for adults with obesity is essential.78-80
4.5 The environment
Access to care for co-morbidities and specialist obesity care should be a priority for policy makers and public health providers since participants associated delayed care or lack of care with SB and poor health outcomes. In contrast, participants who had prior bariatric surgery tended to sit less, experience less pain and exerte less effort to move, particularly in the home and community environment, encountered fewer environmental barriers and experienced less weight bias. They also perceived an improved quality of life, and physical function. Although bariatric surgery results in small reductions in SB,79-81 all participants who accessed bariatric surgery reported that the parallel support provided by engaging with a weight specialist service, which included behavioral, psychological and lifestyle components, was critical to sustained reductions in SB, as suggested in prior research.79
An umbrella review of SB interventions found that, for adults with overweight or obesity, interventions targeting the physical environment are the most effective, followed by personal behavior interventions.82 By comparison, the results presented here suggest that both environmental and behavioral intervention components may be necessary to ensure that capability, opportunity and motivation exist for this population to minimize SB. Appropriate behavior change techniques such as action planning and self-monitoring delivered via mobile technology have the potential to enhance environmental interventions for adults with obesity.83
Indeed, the WHO identifies that an obesogenic physical environment promotes sedentary behavior and reduces opportunities for physical activity84 and many environmental interventions have been successful in increasing physical activity, particularly active transportation.85 However, some participants in this study, those with less mobility or functional ability, felt further excluded from built and natural environments due to population level or inclusive initiatives. When developing population and policy interventions, consideration must be given to potential unintended consequences which could exclude vulnerable groups, such as adults with obesity, resulting in poorer health outcomes.
5 STRENGTHS AND LIMITATIONS
The strength of this study lies in its robust methodology. The TDF informed the interview guide, was applied flexibly with open-ended questions during interviews to elicit perceptions beyond the TDF framework, and during analysis, inductively coded subthemes were mapped to the domains of the framework.40 Inductively coding interviews before coding into the TDF ensures that important cross data patterns are identified, and not limited to the domains or constructs of the framework.86 The value of the TDF is thus maximized by both inductive and deductive coding, and expresses the richness of the data which was evident at the interview. Identifying the theoretical domains and constructs which act as barriers or enablers of behavior change can provide the foundation for targeted effective interventions.26, 86
Furthermore, perceived barriers and facilitators to interrupting SB across all domains of living (occupational, leisure, domestic, transportation) are identified for this population. Further mapping of the COM-B identified barriers and facilitators in all six components of the COM-B (Physical and Psychological Capability, Reflective and Automatic Motivation, Social and Physical Opportunity). This highlights opportunities for both individually targeted interventions and multicomponent, system-level interventions, which are likely to contribute to positive change in SB in this population.
Furthermore, the inclusion of a broad age range (31–64 years), both male and female perspectives, and that of participants with experience of moderate to very high BMI or severe obesity, enhances the transferability of the research to the greater population of adults living with obesity. However, since more than half of the participants had prior bariatric surgery, this sample may not be representative of all adults with obesity, thereby limiting the generalizability. The collection of further demographic data could have improved the generalizability of the results, for example, time since bariatric surgery and number of co-morbidities.
Some further limitations must also be acknowledged. Firstly, participant characteristics were entirely self-reported. The use of objective and clinical measures would improve the methods and results. While, this study purposively targeted adults with moderate or severe obesity, participants self-selected based on self-reported current or past BMI >35 kg/m2 and perceived impact of obesity (on health, social, quality of life). Although experiences of pain, and impact on function and quality of life were described by all participants, some may under-report or minimize the impact of obesity as a coping mechanism or shame response and BMI may differ from objective measures. Continued efforts to understand the outcomes of importance to and the perspectives of this population, who often disengage from healthcare, are necessary.
Similarly, all measures of SB were self-reported, which may differ from objectively measured SB.86 Indeed, the mean total weekday and weekend sitting time reported by participants is aligned with sedentary recommendations (<8 h/day) although cross-case variation was large, similar to prior mixed method research.87 This mean sedentary time, may be explained at least in part, by the number of participants who had prior bariatric surgery or lost excess weight. Notably, by design, inclusion was not limited to a highly sedentary sample, since doing so could potentially eliminate valuable perspectives regarding facilitators to minimizing SB. Nonetheless, objective SB measurement would enhance the results and future mixed-method studies are warranted to investigate sedentary time and patterns of accumulation of SB in this population and indeed potential differences pre and post-bariatric surgery.
Additionally, some relevant data may have been missed, for example, no participant mentioned ‘smoking breaks’ as a motive for sedentary breaks or sedentary behavior, but smoking behaviors were not included in the data collection. This raises interesting questions about other health behaviors; using smoking as an example, does this population modify smoking behavior to reduce health risk or mask it as a stigmatized group? Finally, by comparison with quantitative studies concern regarding generalizability due to small sample and researcher subjectivity may exist. However, rigor from study design to analysis coupled with the willingness of participants to engage with difficult topics provided rich and nuanced data, results and interpretation about SB in this population.
6 CONCLUSION
This study uses a rigorous reflexive thematic analysis to identify the perceived barriers and facilitators to interrupting sedentary behavior in adults living with obesity. The study was theoretically underpinned by both the COM-B model and the TDF from design through analysis. This behavioral analysis allows researchers to understand sedentary behavior in this particular population and identifies multiple opportunities at the individual, community, political, and environmental levels to implement the change. Future development of intervention functions and behavior change techniques aligned to this behavioral analysis will ensure theory and person centered interventions to interrupt sedentary behavior in adults living with obesity.
AUTHOR CONTRIBUTIONS
Fiona Curran: Conceptualization; data curation; formal analysis; investigation; methodology; project administration; validation; writing – original draft preparation. Carol Brennan: Formal analysis, methodology, validation, writing – review & editing. James Matthews: Formal Analysis; methodology; supervision; validation; writing – review & editing. Gráinne O′ Donoghue: Conceptualization; formal analysis; funding acquisition; methodology; project administration; supervision; validation; writing – review & editing.
ACKNOWLEDGMENTS
The authors would like to thank the participants for their valuable contribution to the research and the Irish Coalition of People living with Obesity (ICPO) for making this research possible. This study is supported by University College Dublin (UCD) UCD ADVANCE PhD scheme research Grant number R19442.
Open access funding provided by IReL.
CONFLICT OF INTEREST STATEMENT
All authors declare no conflicts of interest.