Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-29T01:43:04.210Z Has data issue: false hasContentIssue false

Undergraduate UK nutrition education might not adequately address weight management

Published online by Cambridge University Press:  28 May 2015

David Rogerson*
Affiliation:
Academy of Sport and Physical Activity, Sheffield Hallam University, Collegiate Crescent Campus, Sheffield S10 2BP, UK
Hora Soltani
Affiliation:
Centre for Health and Social Care Research, Sheffield Hallam University, Sheffield, UK
Robert Copeland
Affiliation:
Centre for Sport and Exercise Science, Sheffield Hallam University, Sheffield, UK
*
* Corresponding author: Email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Objective

Weight management appears to be multidimensional and complex, and registered nutritionists might work to educate, promote and provide weight-management services to communities, groups and individuals. However, nutrition education might not adequately reflect the weight-management requirements of individuals and groups. The aim of the present study was to investigate if the Association for Nutrition’s undergraduate core competency framework for accredited Nutrition degrees sufficiently reflects the weight-management needs and experiences of individuals.

Design

A qualitative investigation, conducted within critical realist ontology, was performed to understand the weight-management experiences of dieters and compare these with the Association for Nutrition’s accreditation criteria for undergraduate Nutrition degrees.

Setting

Framework analysis was used to identify and explain participants’ experiences thematically and to compare these with the Association for Nutrition’s core competency criteria.

Subjects

Participants (n 8) with weight-loss (n 4) and weight-maintenance experiences (n 4) were interviewed using semi-structured interviews to understand weight management at the agential level.

Results

Participants described knowledge, exercise, planning, psychological constructs and behaviour-change techniques, determinants of eating and social support as features of weight management. The competency criteria provided clear guidance on all aspects discussed by the group, apart from psychological constructs and behaviour-change techniques and social support.

Conclusions

Accredited Nutrition courses might not fully reflect the weight-management needs and experiences of individuals. Nutritionists might require greater knowledge of psychology and behaviour change to better understand and accommodate their clients’ weight-management needs.

Type
Research Papers
Copyright
Copyright © The Authors 2015 

Nutritionists work in diverse roles with groups, communities, individuals and within industry to educate about and promote good health( 1 ). Depending on their specialism, nutritionists might work with dietitians and other health professionals in hospitals and clinics, within public health and policy development, or provide consultancy services within private practice( Reference Cade, Hartwell and Radford 2 ). To become registered in the UK, nutritionists must register with the UK Voluntary Register of Nutritionists, which is regulated by the Association for Nutrition (AfN)( 3 ). The AfN also accredits undergraduate Nutrition degrees, which must adhere to strict professional and ethical standards, and provide evidence that the AfN’s score competency criteria for undergraduate degree courses have been embedded into the curriculum( 3 , 4 ). These competencies were established to define the areas of knowledge and expertise of UK nutritionists( Reference Cade, Hartwell and Radford 2 ); reflect an international drive to develop standards for practice and workforce development( Reference Hughes, Shrimpton and Recine 5 ); and were developed from research highlighting the breadth of knowledge required by professionals and that the role should be defined in terms of specialist proficiencies( Reference Cade, Hartwell and Radford 2 ). The first of the competencies is ‘Science’, which contains seventeen sub-competencies (CC1a–CC1q) that describe the scientific basis of nutrition and nutritional requirements. The second is ‘Food Chain’, which contains five sub-competencies (CC2a–CC2e) that demonstrate knowledge and understanding of the food chain and its impact on dietary choice. The third is ‘Social/Behaviour’, which contains nine sub-competencies (CC3a–CC3i) that demonstrate knowledge and understanding of food in social or behavioural contexts. The fourth, ‘Health and Wellbeing’, contains eight sub-competencies (CC4a–CC4h) that describe the application of nutrition science for the promotion of health and well-being. ‘Professional Conduct’ (the fifth) contains seven sub-competencies (CC5a–CC5g) that demonstrate professional conduct and the nutritionist’s code of ethics( 6 ).

While the competency criteria appear to be comprehensive, nutrition has been criticised by some authors who suggest that nutrition knowledge has been biased towards positivistic science( Reference Pelto and Freake 7 , Reference Schubert, Gallegos and Foley 8 ), that many diet-related issues are underscored by social and behavioural issues( Reference Pelto and Freake 7 , Reference Schubert, Gallegos and Foley 8 ), that dietary problems are only partially understood by nutritionists and that nutritionists might not be best equipped to deal with them( Reference Pelto and Freake 7 , Reference Schubert, Gallegos and Foley 8 ). A growing body of evidence indicates that overweight and weight management are multidimensional conditions that have physical, social and behavioural dimensions( Reference Hays and Roberts 9 , Reference Valente, Fujimoto and Chou 10 ). Weight loss appears to be equally complex and to be dependent on dietary, lifestyle, cognitive and behavioural changes( Reference Valente, Fujimoto and Chou 10 Reference Stubbs, Whybrow and Teixeira 12 ). Dieters, it appears, have specific individual needs and might require bespoke treatments to be successful( Reference Stubbs, Whybrow and Teixeira 12 ). On the basis that weight management is multifactorial and perhaps individual-specific, it is then not clear if undergraduate education adequately encompasses the multidimensionality of weight management and prepares nutritionists with the knowledge and skills to work with dieters, who might have complex, individual needs( Reference Stubbs, Whybrow and Teixeira 12 ). The aim of the present study was therefore to compare the AfN’s undergraduate degree core competency criteria, which provides a framework for undergraduate Nutrition curricula, with agential data that highlight the breadth of individuals’ weight-management experiences using qualitative research methodology.

Experimental methods

The study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the Sheffield Hallam University Research Degrees Sub-Committee. Written informed consent was obtained from all subjects. In order to address the research aims, the study was performed in two sequential stages. In stage one a group of eight participants were interviewed to understand their weight-loss experiences. In stage two the participants’ data were compared with the core competency criteria. Core competency criteria were provided to the principal investigator by the AfN and can be found online( 6 ).

Philosophical and methodological underpinnings

The study was underpinned by critical realist ontology described by Maxwell( Reference Maxwell 13 ). Critical realism is a meta-theory that is being increasingly used to underpin applied health research( Reference Clarke and Lissel 14 ) and allows for the thematic description and explanation of data to be performed concurrently in qualitative research( Reference Maxwell 13 , Reference Clarke and Lissel 14 ). Data were handled in NVivo 10 (QSR International, Victoria, Australia) and Microsoft® Word 2010 (Microsoft Corporation, Redmond, WA, USA) and analysed using framework analysis, a flexible approach which allows a systematic management of qualitative data( Reference Ritchie, Lewis and McNaughton 15 ). Framework analysis necessitates the creation of matrices that compare themes (developed during the analyses) and cases (participants v. competencies) which would enable the comparison of participants’ experiences with the competency document( Reference Ritchie and Spencer 16 , Reference Gale, Heath and Cameron 17 ) and has been used successfully in research with similar aims( Reference Staniford, Breckon and Copeland 18 ).

Participants

A purposive sample of four male and four female (n 8) participants were interviewed using a semi-structured interview to explore their weight-loss experiences. Four participants were slimming club members and the remainder were recruited through networking with colleagues. All participants were white, adult and British nationals.

Interview data collection

All interviews were conducted in a quiet, neutral environment. Interviews were conducted face-to-face, prompted with an interview guide that was developed from the literature and supplemented with field notes( Reference Kvale 19 ). Respondent validation was sought after each interview( Reference Ritchie, Lewis and McNaughton 15 ). Interviews were recorded using a digital recording device (Olympus Digital Voice Recorder, model WS-321M; Olympus Imaging Corp., China) and lasted approximately 60–75 min. All audio interview files were saved and backed up to a password-protected external hard drive. To ensure participant confidentiality and anonymity, all participants were allocated a number and all files were saved under the numerical prefix (participant 1, 2, etc.). All interviews were transcribed verbatim.

Framework analysis

Data were analysed thematically using framework analysis conceptualised by Ritchie and Spencer( Reference Ritchie and Spencer 16 ). For a detailed, stage-by-stage description of framework analysis please refer to Gale et al.( Reference Gale, Heath and Cameron 17 ). An abbreviated description of the analyses follows.

The first stage was data familiarisation. During this stage the audio files were replayed multiple times and the transcripts and AfN’s competency document were reviewed to become acquainted with the data. The competency document and interview transcripts were combined as raw data and handled in Word. During stage two, initial codes were identified on a line-by-line and paragraph-by-paragraph basis for the data set (participants and accreditation document). Semantic and latent themes were identified inductively and deductively as described by Braun and Clarke( Reference Braun and Clarke 20 ). Inductive themes were identified using open coding and participants’ words were used to generate NVivo codes to remain true to the data, where appropriate. Deductive themes (psychological constructs and behaviour change techniques) were preselected from literature detailing the multidimensionality of weight management( Reference Stubbs, Whybrow and Teixeira 12 , Reference Teixeira, Silva and Coutinho 21 ). Themes were identified semantically where information accurately reflected an area of knowledge. Latent themes were identified to explain the participants’ experiences in the context of known information and were contextualised using literature definitions (provided in the Results). Data were then imported into NVivo to perform indexing (stage three). Text was transposed from the Word document into themes and sub-themes (a preliminary framework), which were created as nodes within NVivo. Using NVivo’s Framework Matrices tool, matrices were then created where each row represented a case (participants or accreditation document) and each column represented a theme or sub-theme, to chart the information (stage four), and tabulate each theme’s data and source (participants v. accreditation document). Data for each participant, criterion and theme were then summarised in the matrices by referring back to the indexed data. The matrices where then exported into Microsoft Excel 2010 and printed off for interpretation (stage five). Rows (cases: participants v. accreditation document) and columns (themes and sub-themes) were then compared qualitatively, facilitated by the matrix structure, to identify patterns, similarities and differences between and within data for each theme and sub-theme( Reference Gale, Heath and Cameron 17 ).

A separate numerical matrix (Table 1) was created to determine where the majority of data resided for each case and theme. This was created using Microsoft Word 2010 and was similar to the central labels chart that was used to determine associations in the study by Spencer and Whelan( Reference Spencer and Whelan 22 ). While the framework matrices of NVivo would allow the researcher to determine the quality of associations between the themes( Reference Ritchie, Lewis and McNaughton 15 ), the numerical matrix provided a visual reference as to data clustering and served as supplementary information.

Table 1 Numerical matrix

AfN, Association for Nutrition.

* Number of times participants mentioned the theme or sub-theme (prefix numbers of the participants who mentioned the theme or sub-theme).

Verification

To reduce bias, the codes, themes, theoretical framework and analyses were verified by two colleagues at two time points in the data management and analysis process (stages three and five). Both colleagues were noted authors in related fields with extensive research experience. To verify the analyses, meetings were organised and data and outputs were provided to the attendees prior to the meetings who were blind to the findings at each stage. During the meetings feedback was provided and the data analysis and interpretation was verified.

Results

Core competencies 1 (Science), 3 (Social/Behaviour) and 4 (Health and Wellbeing) were frequently indexed into the themes during the analyses. An abbreviated summary of these AfN competencies is provided in Table 2. Preliminary analyses revealed that AfN accreditation criteria did not specify any competencies that reflected weight management; however, one competency (CC1j) necessitated an understanding of conditions that require dietary manipulation or can affect physical activity, such as obesity and chronic disease.

Table 2 Abbreviated summary of the AfN core competencies that were frequently indexed into themes during the analyses

AfN, Association for Nutrition.

Theme 1: Nutrition knowledge and education

Relevant competencies: CC1a–CC1q, CC2a–CC2e, CC3h

The participants (1–8) made twenty-six references to nutrition knowledge and education and suggested that increasing knowledge improved their eating habits. Knowledge was gained from studying, slimming groups and contact with health professionals; participants explained that understanding how food affects the body, the energy contents of food, the provenance of food, and recipes and food choices meant that they were better able to make informed decisions:

‘I started to learn about what we needed as fuel and why we needed it.’ (Participant 6)

The competency document provided twenty-three criteria from core competencies 1–3 that reflected the participants’ explanations. Core competency 1 (Science) contained seventeen competencies (CC1a–CC1q) in areas such as nutritional science, human physiology, metabolism and dietary analysis, and related mostly to this theme. Competency CC3h (theories of nutrition health education and nutrition health promotion) recognised the need to understand educational theories, equipping nutritionists with educational knowledge to educate client groups with knowledge.

Theme 2: Exercise and physical activity

Relevant competencies: CC1a, CC1j, CC1k, CC3f, CC4a

The participants (1–4, 6–8) explained that exercise complemented their eating behaviours:

‘I can exercise without dieting but I can’t do dieting without exercising.’ (Participant 3)

Participants explained that exercise provided structure and discipline, that exercising punctuated reminders to eat well, that deviating from dieting would create the perception that exercise was wasted, and that exercise provided goals and reinforced positive behaviours:

‘If I go out for a run, which I enjoy doing, and I eat badly, I’ve ruined that hour that I’ve spent going out for a run.’ (Participant 3)

Exercise was also articulated to provide an energy expenditure safety net and as a mechanism for promoting flexible restraint. One participant in particular explained that exercise increased his appetite and that he had to manage his eating based on his exercise volume:

‘You know, the more exercise I do the hungrier I become.’ (Participant 6)

The course accreditation recognises the requirement to understand, measure and estimate energy balance and physical activity (CC1a, CC4a), the nature of conditions that affect physical activity (CC1j) and how dietary needs change with physical activity levels (CC1k); however, these criteria do not specify the need to understand the behavioural effects of exercise in weight management in the terms of hunger and satiety control. Competency CC3f (theories and applications of improving health, behaviour and change) might have some relevance to the behavioural dimensions of exercise but an understanding of this is not made explicit within the criteria.

Theme 3: Planning

3.1. Diet design

Relevant competencies: CC1c–CC1g, CC1i–CC1k, CC3c–CC3e, CC3g, CC3i, CC4b, CC4h

The participants (1–8) manipulated their eating habits to accommodate their weight-management goals (twenty references). Participants described that through trial and error and gaining new knowledge, they made adjustments such as calorie counting, carbohydrate manipulation, eliminating foodstuffs and reducing portion sizes to achieve their weight-loss goals:

‘Just trying to eat relatively healthy but keep under sort of 1,800 calories.’ (Participant 1)

Fourteen references from core competencies 1 (Science), 3 (Social/Behaviour) and 4 (Health and Wellbeing) were interpreted to reflect relevant knowledge and skills required of nutritionists in this area. These criteria were specific and focused towards knowledge of nutritional requirements (CC1k, CC3c and CC4d), and reflected the participants’ experiences well. This knowledge was specific, based on variables such as age, gender and activity (CC1k), and included knowledge of dietary, activity and nutritional status assessment methods (CC1e, CC1g and CC4e). The ability to design diets that meet clients’ needs was explicitly articulated within the criteria (CC3i).

3.2. Self-management

Relevant competencies: CC3c, CC3e, CC3f

The participants (2–8) suggested that organising and structuring their lives was important to ensure adherence (nine references) and that when that structure was challenged, adherence became difficult. A lack of structure, organisation and time management led to previous failures for some:

‘The difference between now and perhaps in the past is that I was less organised and didn’t do that’. (Participant 2)

Participants devised weekly and monthly shopping lists, had set meals/menus, cooked and prepared food ahead of time, stocked larders with foods, and planned meals and exercise ahead of time. The participants explained that their behaviours needed to be purposefully flexible, to allow for situations that might require digression. This allowed for greater long-term consistency:

‘My structure is flexible enough to say that’s all right, that’s fine. I’m not going to deprive myself of anything just because it’s not perfect.’ (Participant 3)

The competency document made no references to self-management knowledge and skills. CC3c, CC3e and CC3f of core competency 3 (Social/Behaviour) might reflect the need to understand lifestyle circumstances and mechanisms to accommodate lifestyle circumstances, but this was not articulated within any criteria.

Theme 4: Psychological constructs and behaviour-change techniques

4.1. Dietary restraint

Relevant competencies: CC3c, CC3f

This theme was created using Johnson and Wardle( Reference Johnson and Wardle 23 ), Polivy et al.( Reference Polivy, Heatherton and Herman 24 ), Ruderman( Reference Ruderman 25 ) and Teixeira et a l.( Reference Teixeira, Silva and Coutinho 21 ), who describe dietary restraint as a dichotomy of rigid and flexible restraint. The participants made fifty-three references to flexible and rigid restraint and warned that rigidity (for some) led to obsessiveness, became unsustainable and could lead to disinhibited eating (1–7). The participants explained that flexible restraint allowed them to remain in control and also allowed them opportunities for digressing from their diets when needed:

‘I suppose this is where the not going so far that I become obsessive about it comes in, but going far enough so that if I do have a bit of a blowout of a weekend that actually I can rationalise that.’ (Participant 3)

The accreditation document contained two references that might reflect this theme and CC3f of core competency 3 (Social/Behaviour) might relate mostly to dietary restraint within the criteria. While this competency recognises the importance of knowledge of health behaviour and change, this competency did not stipulate the requirement to understand dietary restraint and how it impacts weight-related behaviours.

4.2. Locus of control

Relevant competencies: CC3c, CC3f

This theme was created using Abusabha and Achterberg( Reference Abusabha and Achterberg 26 ), Adolfsson et al.( Reference Adolfsson, Andersson and Elofsson 27 ) and Balch and Ross( Reference Balch and Ross 28 ), who describe locus of control as the extent to which individuals perceive they can control the factors in their lives which affect them. The participants (1–8) provided fifty-six references to locus of control, suggesting that an internal locus of control was important to motivation and adherence and was a precursor to success:

‘Being in control is something I’m enjoying.’ (Participant 2)

The participants explained that an external locus of control prompted previous failures and that the sensation of control allowed them to make choices and decisions about their eating and exercise behaviours that reflected their wants and needs. Control could be challenged by environmental and circumstantial factors if sufficient coping mechanisms were not present, however:

‘And normally when I’ve done diets before, I haven’t necessarily felt that in control.’ (Participant 7)

The course accreditation document provided two criteria that might reflect locus of control within the Social/Behaviour theme (CC3c and 33Cf); however, knowledge of locus of control was not indicated within any criterion in the document.

4.3. Self-efficacy

Relevant competencies: CC3c, CC3f

This theme was created using information from Abusabha and Achterberg( Reference Abusabha and Achterberg 26 ), Bandura( Reference Bandura 29 ) and Zokolsky( Reference Zulkosky 30 ) to define self-efficacy within weight management as individuals’ belief in their ability to achieve and maintain weight loss. The participants explained that self-efficacy was connected to their eating (1, 2, 6–8), weight loss (1, 4) and exercise goals (3, 5 and 8) and behaviours. Self-efficacy was therefore revealed to be complex. High self-efficacy was related to successful completion or adherence to behaviours (low self-efficacy was not) and sixty-four references were made to self-efficacy within the interviews:

‘And feeling like you’re achieving something as well and that you can do it and it makes me feel more positive.’ (Participant 1)

The perception of efficacy promoted motivation and consistency and the efficacy within one area, such as exercise, prompted efficacy to achieve eating and weight-related goals elsewhere. However, some participants revealed that a lack of self-efficacy led to previous failures and might prevent current successes:

‘I pretty much if I put my mind to something I can do it, and the only thing that I feel that I don’t have that much success with is probably dieting and things that are related to that.’ (Participant 1)

The accreditation document contains two criteria that might be relevant self-efficacy within core competency 3 (CC3c and CC3f); however, knowledge of self-efficacy or self-efficacy within weight management was not clearly articulated within any criterion.

4.4. Self-monitoring

Relevant competencies: CC3f, CC3h

The participants provided thirty-eight references to self-monitoring activities. Participants explained that they used food diaries and calorie counters to monitor their diets (1–8). This was facilitated with smart phone apps and mobile technology for some:

‘I have my Fitbit bug tracker, whatever, what it is to track my steps on a daily basis and when I get on my bicycle I have my Scosche armband… So it’s all sort of tracked and the food diary is done as part of My Fitness Pal.’ (Participant 6)

Participants explained that self-monitoring was used for self-regulation and educational purposes; that they weighed themselves, took measurements, assessed clothing fit, used subjective feelings and monitored exercise performance as indications of progress. Participants 1 and 4 explained that regular weighing could be discouraging if weight loss plateaued or was not as quick as desired:

‘My weight actually hasn’t changed anything meaningful since last December, which is discouraging.’ (Participant 4)

Competencies CC3f, CC3g and CC3h of core competency 3 (Social/Behaviour) might be relevant to this theme; however, these criteria provided no explicit information about how to develop self-monitoring behaviours in others. Six competencies from Science (core competency 1) and Health and Wellbeing (core competency 4) specified that courses must include knowledge of the assessment and evaluation of diet, body composition and nutritional status (CC1e, CC1g, CC1n, CC1o, CC3g, CC4a and CC4e), which might also be relevant to this theme. However, these criteria did not appear to be directed towards developing self-monitoring activities in others.

4.5. Goal setting

Relevant competencies: CC3f, CC3h

This theme was created using information from Sniehotta( Reference Sniehotta 31 ) to define goal setting as internalised representations of desired outcomes. The participants explained that creating and achieving goals improved motivation and self-efficacy and described goals that drove their behaviour (1–4, 6–8):

‘I’m keen to make sure I have some definite goals for continuing my progress.’ (Participant 3)

The participants described weight goals, exercise-related goals, knowledge goals, health-related goals and life events as motivators for their behaviours:

‘Whereas if exercise plays a part then you can set yourself other goals as well.’ (Participant 8)

The competency criteria provided one criterion that might relate to goal setting on the basis of its recurrence in behaviour-change literature (CC3f) and one that may have indirect relevance (CC3h) to assisting with the development and counselling of weight-related goals from core competency 3 (Social/Behaviour). However, no explicit guidance about goal-setting theories, methods or techniques and how to implement them with weight-management client groups was provided.

4.6. Coping strategies

Relevant competencies: CC3c, CC3f

This theme was created using information provided by Elfhag and Rössner( Reference Elfhag and Rössner 32 ) and Stubbs et al.( Reference Stubbs, Whybrow and Teixeira 33 ), who describe coping as cognitive and behavioural factors used to manage internal and external demands. The participants described situations that threatened their compliance and described coping strategies that allowed them to remain adherent given circumstances (thirty-six references). Some participants revealed that stressful life events led to binge eating in the absence of sufficient coping mechanisms and comfort eating was problem for some. Social situations were revealed unanimously to threaten consistency (1–8) and the following examples were described as coping mechanisms for such occasions: driving instead of drinking, limiting food choices, flexible restraint and increasing exercise:

‘Because I knew I was going away and food would be awful, Friday morning I made myself get up and go and have a run.’ (Participant 7)

The course accreditation criteria provided two criteria that might relate to coping from core competency 3 (CC3c and CC3f), which stipulate the requirement for knowledge of environments and applications of methods of improving behaviour; however, these criteria provided no information about coping strategies or factors that might require them within weight-management contexts.

Theme 5: Determinants of eating

5.1. Environmental determinants

Relevant competencies: CC3c–CC3e

This theme was created using Delormier et al.( Reference Delormier, Frohlich and Potvin 34 ), Gustaffson and Draper( Reference Gustafsson and Draper 35 ) and Petoello-Mantovani( Reference Pettoello-Mantovani 36 ) who describe environmental determinants as physical and perceived environmental factors that influence dietary choice. The participants explained how their environments impacted their food choices and behaviours and provided thirty-eight references that described how their environments challenged or benefited their weight-related goals. Common environmental challenges included the home (1–7), work (1, 5 and 7) and travel (5 and 6). Environments impacted the participants by affecting the availability of food choices and creating time constraints. Participant 6 described how his work required him to engage with business lunches and travel. Food choices in these situations were often high in calories and he felt pressured to eat in a certain way when in the presence of colleagues:

‘I’m out with work colleagues and they want to go for two pints and an Indian or they want a fish and chip supper or they want to, you know. Or we’re out at a restaurant and they all want three courses, what do you do?’ (Participant 6)

The home presented a number of challenges for participants too and the presence of non-diet foods and appetite-stimulating cues in the house created temptations and issues that were described by some:

‘There were lots of indulgent-type treaty foods knocking around the house, whilst I’m not offering up excuses, but that’s sort of tough.’ (Participant 4)

Participants 1 and 2 revealed that their work and home environments were beneficial, however. For both participants, the structure of these environments facilitated or reinforced their weight-related behaviours positively:

‘The things that led to my success right now have been environment changes.’ (Participant 2)

The course accreditation document provided three criteria from core competency 3 (CC3c, CC3d and CC3e) that reflect an understanding of environmental determinants of food choice and eating, which might reflect participants’ experiences within this theme.

5.2. Social determinants

Relevant competencies: CC3c–CC3e:

This theme was created using the descriptions of Delormier et al.( Reference Delormier, Frohlich and Potvin 34 ), Gustaffson and Draper( Reference Gustafsson and Draper 35 ) and Petoello-Mantovani( Reference Pettoello-Mantovani 36 ) of social and sociocultural factors that influence dietary choice. The social determinants theme described incidences of where social influences, social environments and situations impacted food choices and behaviours. Participants described in detail parental and social influences (1–8), which could be either positive or negative. Social eating, drinking, family life and family members impacted eating and weight-related choices beneficially or destructively:

‘Whenever there’s any kind of social thing going on that I find it really difficult to stick to an eating plan.’ (Participant 1)

The course accreditation document provided three criteria (CC3c, CC3d and CC3e) from core competency 3 that related to the social determinants theme. These criteria specified an understanding of religious, cultural and social eating determinants that shape food choice and behaviour, and these criteria might therefore reflect the participants’ experiences of social determinants within this theme.

Theme 6: Social support

Relevant competencies: CC3c–CC3f

This theme was created using information from Verheijden et al.( Reference Verheijden, Bakx and Weel 37 ) who describe social support as a range of factors including the physical and perceived availability of supportive significant others. The participants (1–7) revealed that social support was an important contributor to their successes, provided thirty-nine references to social support and suggested that weight loss would be impossible without it:

‘You can’t do a diet I don’t believe of any type unless you’ve got the support of those who live around you.’ (Participant 6)

The participants described that having supportive partners, friends, families and work colleagues benefited them by providing support and guidance. One participant in particular revealed that becoming part of slimming club provided her with moral support which had previously been lacking. Participants explained, however, that weight loss could foster social isolation and described how family members and spouses could be destructive and act as saboteurs through actions such as offering and/or eating forbidden foods in their company. A lack of support was revealed to create social problems, antagonistically:

‘If you don’t have that structure or that support I suppose within the family environment, whatever environment that you’re in, then it’s a lot, it is just something that just consumes you.’ (Participant 7)

Competencies CC3c, CC3e and CC3f were indexed into this theme from core competency 3. While it is possible that CC3f might reflect knowledge of social support, no explicit information about social support in the context of weight management was specified within any criterion.

Discussion

One initial finding from the present study was that the competency criteria contained no references to weight management. One of the competency criteria (CC1j) did reflect the requirement for courses to include information about conditions that may require dietary manipulation or affect physical activity such as obesity and chronic disease; however, this was the only criterion that made any reference to a weight-related issue. This was surprising considering that weight management and overweight are important and well-researched diet-related issues( Reference Stubbs, Whybrow and Teixeira 33 ) and that dietary counselling and nutrition education are implicit components of weight-management interventions and programmes( Reference Dansinger, Tatsioni and Wong 38 ). Indeed, Public Health Nutritionists and Sport and Exercise Nutritionists registered with the AfN might work with people with weight-management needs( Reference Cade, Hartwell and Radford 2 , Reference Eggers and Kennedy 39 , Reference Morton, Robertson and Sutton 40 ) and require specialist weight-management knowledge and skills. This initial finding is of particular importance in light of substantive population increases in obesity: it is forecasted that by 2030 over half of the UK population will have become obese( Reference Wang, McPherson and Marsh 41 ), which carries important health and economic implications for future society( Reference Wang, McPherson and Marsh 41 ). Future revisions of the competency framework might need to reflect a burgeoning obesity problem. The present analyses revealed that the nutrition knowledge and education and diet design themes demonstrated parity between the participants and the competency document, however; clear criteria were provided for these themes that addressed the participants’ experiences. Unsurprisingly, it might be expected that courses develop learners with scientific knowledge and practitioner skills to design bespoke diets.

Of all themes identified, psychological constructs and behaviour-change techniques were referenced most by the participants but referenced fewest by the criteria. Dietary restraint, locus of control and self-efficacy are all factors that have been identified in the literature( Reference Elfhag and Rössner 32 , Reference Stubbs, Whybrow and Teixeira 33 , Reference Nakade, Aiba and Morita 42 , Reference Stubbs and Lavin 43 ) and were discussed repeatedly by participants. Self-monitoring, goal setting and coping have also been identified elsewhere( Reference Stubbs, Whybrow and Teixeira 33 , Reference Burke, Swigart and Warziski Turk 44 ) and were described by participants too. The accreditation document made few references to information that could be directly interpreted to reflect these concepts. Core competency 3 (Social/Behaviour) was most related. Within the sub-components of this competency the only guidance to reflect these issues were criteria CC3f (theories and applications of methods of improving health, behaviour and change) and CC3g (design and implementation of intervention projects and programmes). No explicit references to any of the theories, constructs or tools discussed by the participants were provided in any criteria. While it is possible that the competency framework is purposefully brief, the weighting of the document appears to be shifted towards the sciences of food and nutrition rather than the social-science concepts of nutrition and health-related behaviour. Nutrition encompasses many conditions that require sound knowledge of science( Reference Stubbs and Lavin 43 ) and weight management is only one small aspect of nutritional knowledge. The lack of detail about psychological and behavioural concepts contrasts markedly from core competency 1 (Science) and core competency 3 (Health and Wellbeing), which specified multiple and specific knowledge and skills to be embedded into curricula. Further evaluation via a larger explorative study is required to verify these findings. Such research might facilitate revision of the current AfN criteria to provide a more comprehensive account of the psychological and behavioural dimensions of nutrition and weight management.

While this ambiguity might also indicate that courses introduce a broad range of theories and tools within social and behavioural contexts, issues with the evidence might necessitate that more explicit guidance is provided to education providers. Behaviour-change interventions are complex and consist of interacting interventions and variables, and it is not always clear which interventions are effective( Reference Burke, Swigart and Warziski Turk 44 ). Reporting practices within studies are sometimes inconsistent and interventions are sometimes only partially reported( Reference Michie, Ashford and Sniehotta 45 ). Study findings are sometimes unpredictable and some of the literature is ambiguous and lacking replicability( Reference Michie, Ashford and Sniehotta 45 ). Importantly, it also seems that the linkage between behaviour-change techniques and their theoretical underpinning and mode of action is also unclear( Reference Sniehotta 31 ). It has been suggested by some( Reference Sniehotta 31 , Reference Michie, Ashford and Sniehotta 45 ) that many behaviour theories do not specify which techniques lead to behaviour change and that there is uncertainty about how to match behaviour-change techniques to their underpinning theory( Reference Michie, Ashford and Sniehotta 45 ). Considering the controversy and ambiguity surrounding behaviour-change research and the important role that it plays in weight management( Reference Burke and Wang 46 ), there is an obvious need to identify the most optimal and efficacious behaviour-change interventions and their appropriate theoretical underpinnings. The lack of specificity within the core competency framework might indicate that these tools and theories are not identified and appraised appropriately within education programmes. Education providers might therefore require clearer guidance from the AfN about which theoretical behaviour models and behaviour-change techniques to embed within curricula.

Schubert et al.( Reference Schubert, Gallegos and Foley 8 ) suggest that social knowledge within nutrition has been biased towards structural concepts that shape food choice and lacks agential understanding. Within the present study the clearest guidance relating to social knowledge for accredited courses was demonstrated within competencies CC3c, CC3d and CC3e, which were mapped against the environmental and social determinants themes. These criteria appeared to reflect structural factors that shape food and eating behaviour( Reference Delormier, Frohlich and Potvin 34 ). While the competency criteria appear to embrace some social knowledge, the present research indicates that knowledge and understanding of behaviour and the behavioural dimensions of exercise and self-management appear to be lacking, perhaps reflecting Schubert et al.’s suggestions( Reference Schubert, Gallegos and Foley 8 ). A holistic understanding of diet-related issues is perhaps essential to the effective treatment and prevention of many modern dietary challenges( Reference Schubert, Gallegos and Foley 8 ). Overweight and obesity are important societal issues that are impacted by food choice and behaviour( Reference Stubbs and Lavin 43 , Reference Burke and Wang 46 ); food and eating are intertwined with behavioural and social factors that affect the antecedents and outcomes of consumption( Reference Schubert, Gallegos and Foley 8 , Reference Delormier, Frohlich and Potvin 34 , Reference Nakade, Aiba and Morita 42 , Reference Stubbs and Lavin 43 ).

It should be recognised that the responsibility to embed and evidence the core competencies rests with the education providers and that the goal of the present research was to provide a constructive evaluation of the existing AfN criteria. If nutritionists are to fully understand weight management, based on the AfN’s core competency framework only, then it is possible that education providers might be providing learners with insufficient information. It should also be recognised that the possession of an accredited undergraduate Nutrition degree entitles registration as an Associate Nutritionist only( 4 ) and that full registration requires the evidencing of three years’ experience when applying to the UK Voluntary Register of Nutritionists( 4 ). It is therefore possible that Registered Nutritionists might obtain deeper knowledge of weight management after graduation, during the years prior to achieving full registration.

Limitations of the present study are that a small sample of white, middle-class UK adults was obtained, that the experiences described might not reflect the breadth of weight-management needs and experiences of all populations, and that the sampling methods are insufficient to ensure generalisability. Future research might look to employ larger, more diverse samples from a range of social and ethnic backgrounds using multiple and iterative sampling methods to accommodate these limitations. An additional limitation is that the AfN’s core competency document was the only estimate of undergraduate nutritional knowledge used within the research and that this might not fully reflect what institutions are delivering. Indeed, the present explorative study provided in-depth information and sought to generate hypotheses; future studies might look to evaluate accredited and non-accredited course curricula directly, to determine if and how weight management is being addressed within nutrition education directly. To our knowledge, the present study is the first that provides a detailed comparison of lived experiences of weight management (loss and maintenance) with an educational framework. This research should serve as a catalyst for further evaluation and modification, reflecting the demand for new strands in nutrition education( Reference Pelto and Freake 7 , Reference Schubert, Gallegos and Foley 8 ).

Acknowledgements

Acknowledgements: The AfN provided the Core Competency document and granted permission to summarise the materials within the manuscript. Particular thanks must be paid to Leonie Miller for providing the materials and granting permission. This research was undertaken as part of the Doctorate of Professional Studies at Sheffield Hallam University. Financial support: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors. Conflict of interest: None. Authorship: D.R. conceptualised the investigation, collected and analysed the data and wrote the manuscript. H.S. and R.C. verified the codes, themes, theoretical frameworks and analyses as indicated in the manuscript and assisted with editing. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects/patients were approved by Sheffield Hallam University’s Research Degrees Sub-Committee. Written informed consent was obtained from all subjects/patients.

References

1. Association for Nutrition (2014) Careers in nutrition. http://www.associationfornutrition.org/Default.aspx?tabid=145 (accessed August 2014).Google Scholar
2. Cade, JE, Hartwell, H, Radford, S et al. (2012) The making of a nutrition professional: the Association for Nutrition register. Public Health Nutr 15, 20122019.Google Scholar
3. Association for Nutrition (2014) The UK Voluntary Register of Nutritionists (UKVRN). http://www.associationfornutrition.org/default.aspx?tabid=76 (accessed August 2014).Google Scholar
4. Association for Nutrition (2014) Accreditation. http://www.associationfornutrition.org/default.aspx?tabid=74 (accessed August 2014).Google Scholar
5. Hughes, R, Shrimpton, R, Recine, E et al. (2012) Commentary: Empowering our profession. World Nutr 3, 3354.Google Scholar
6. Association for Nutrition (2012) Competency requirements for course accreditation. http://www.associationfornutrition.org/Portals/0/COURSE%20ACCREDITATION%20COMPETENCIES%20July%202012.pdf (accessed August 2014).Google Scholar
7. Pelto, GH & Freake, HC; ASNS Long Range Planning Committee (2003) Social research in an integrated science of nutrition: future directions. J Nutr 133, 12311234.Google Scholar
8. Schubert, L, Gallegos, D, Foley, W et al. (2012) Re-imagining the ‘social’ in the nutrition sciences. Public Health Nutr 15, 352359.Google Scholar
9. Hays, NP & Roberts, SB (2008) Aspects of eating behaviors ‘disinhibition’ and ‘restraint’ are related to weight gain and BMI in women. Obesity (Silver Spring) 16, 5258.Google Scholar
10. Valente, TW, Fujimoto, K, Chou, C et al. (2009) Adolescent affiliations and adiposity: a social network analysis of friendships and obesity. J Adolesc Health 45, 202204.CrossRefGoogle ScholarPubMed
11. Ahern, AL, Boyland, EJ, Jebb, SA et al. (2013) Participants’ explanatory model of being overweight and their experiences of 2 weight loss interventions. Ann Fam Med 11, 251257.Google Scholar
12. Stubbs, J, Whybrow, S, Teixeira, P et al. (2011) Problems in identifying predictors and correlates of weight loss and maintenance: implications for weight control therapies based on behavior change. Obes Rev 12, 688708.CrossRefGoogle Scholar
13. Maxwell, JA (2012) A Realist Approach for Qualitative Research, 1st ed. Los Angeles, CA: SAGE Publications Inc.Google Scholar
14. Clarke, AM & Lissel, SL (2008) Complex critical realism tenets and application in nursing research. ANS Adv Nurs Sci 31, E67E79.Google Scholar
15. Ritchie, J, Lewis, J, McNaughton, C et al. (2013) Qualitative Research Practice: A Guide for Social Science Students and Researchers, 2nd ed. Los Angeles, CA: SAGE Publications Inc.Google Scholar
16. Ritchie, J & Spencer, L (1994) Qualitative data analysis for applied policy research. In Analyzing Qualitative Data, 1st ed., pp. 173194 [A Bryman and RG Burgess, editors]. Abingdon: Routledge.CrossRefGoogle Scholar
17. Gale, NK, Heath, G, Cameron, E et al. (2013) Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol 13, 117.CrossRefGoogle ScholarPubMed
18. Staniford, LJ, Breckon, JD, Copeland, RJ et al. (2011) Key stakeholders’ perspectives towards childhood obesity treatment: a qualitative study. J Child Health Care 15, 230244.Google Scholar
19. Kvale, S (1996) Interviews: An Introduction to Qualitative Research Interviewing, 1st ed. Los Angeles, CA: SAGE Publications Inc.Google Scholar
20. Braun, V & Clarke, V (2006) Using thematic analysis in psychology. Qual Res Psychol 3, 77101.Google Scholar
21. Teixeira, PJ, Silva, MN, Coutinho, SR et al. (2012) Mediators of weight loss and weight loss maintenance in middle-aged women. Obesity (Silver Spring) 18, 725735.Google Scholar
22. Spencer, L & Whelan, E (1988) Going on YTS: The Recruitment of Young People with Disabilities. Sheffield: Sheffield Training Agency.Google Scholar
23. Johnson, F & Wardle, J (2005) Dietary restraint, body dissatisfaction, and psychological distress: a prospective analysis. J Abnorm Psychol 114, 119125.Google Scholar
24. Polivy, J, Heatherton, TF & Herman, CP (1988) Self-esteem, restraint, and eating behavior. J Abnorm Psychol 97, 354356.Google Scholar
25. Ruderman, AJ (1986) Dietary restraint: a theoretical and empirical review. Psychol Bull 99, 247262.CrossRefGoogle ScholarPubMed
26. Abusabha, R & Achterberg, C (1997) Review of self-efficacy and locus of control for nutrition- and health-related behavior. J Am Diet Assoc 97, 11221132.CrossRefGoogle ScholarPubMed
27. Adolfsson, B, Andersson, I, Elofsson, S et al. (2005) Locus of control and weight reduction. Patient Educ Couns 56, 5561.Google Scholar
28. Balch, P & Ross, AW (1975) Predicting success in weight reduction as a function of locus of control: a unidimensional and multidimensional approach. J Consult Clin Psychol 43, 119.Google Scholar
29. Bandura, A (1989) Human agency in social cognitive theory. Am Psychol 44, 11751184.Google Scholar
30. Zulkosky, K (2009) Self-efficacy: a concept analysis. Nurs Forum 44, 93102.CrossRefGoogle Scholar
31. Sniehotta, FF (2009) Towards a theory of intentional behaviour change: plans, planning, and self-regulation. Br J Health Psychol 14, 261273.Google Scholar
32. Elfhag, K & Rössner, S (2005) Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain. Obes Rev 6, 6785.Google Scholar
33. Stubbs, J, Whybrow, S, Teixeira, P et al. (2011) Problems in identifying predictors and correlates of weight loss and maintenance: implications for weight control therapies based on behaviour change. Obes Rev 12, 688708.Google Scholar
34. Delormier, T, Frohlich, KL & Potvin, L (2009) Food and eating as social practice – understanding eating patterns as social phenomena and implications for public health. Sociol Health Illn 31, 215228.Google Scholar
35. Gustafsson, U & Draper, A (2009) The social aspects of food and nutrition. J Hum Nutr Diet 22, 8788.Google Scholar
36. Pettoello-Mantovani, M (2005) The social and environmental dimensions of nutrition science. Public Health Nutr 8, 749752.CrossRefGoogle ScholarPubMed
37. Verheijden, MW, Bakx, JC, Weel, CY et al. (2005) Role of social support in lifestyle-focused weight management interventions. Eur J Clin Nutr 59, Suppl. 1, S179S186.Google Scholar
38. Dansinger, ML, Tatsioni, A, Wong, JB et al. (2007) Meta-analysis: the effect of dietary counseling for weight loss. Ann Intern Med 147, 4150.CrossRefGoogle ScholarPubMed
39. Eggers, TD & Kennedy, OB (2010) Nutritionists: is there a need for statutory registration in the UK? Nutr Bull 35, 332336.Google Scholar
40. Morton, JP, Robertson, C, Sutton, L et al. (2010) Making the weight: a case study from professional boxing. Int J Sport Nutr Exerc Metab 20, 8085.Google Scholar
41. Wang, YC, McPherson, K, Marsh, T et al. (2011) Health and economic burden of the projected obesity trends in the USA and the UK. Lancet 378, 815825.CrossRefGoogle ScholarPubMed
42. Nakade, M, Aiba, N, Morita, A et al. (2012) What behaviors are important for successful weight maintenance? J Obes 2012, 202037.Google Scholar
43. Stubbs, RJ & Lavin, JH (2013) The challenges of implementing behaviour changes that lead to sustained weight management. Nutr Bull 38, 522.CrossRefGoogle Scholar
44. Burke, LE, Swigart, V, Warziski Turk, M et al. (2009) Experiences of self-monitoring: successes and struggles during treatment for weight loss. Qual Health Res 19, 815828.Google Scholar
45. Michie, S, Ashford, S, Sniehotta, FF et al. (2011) A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy. Psychol Health 26, 14791498.Google Scholar
46. Burke, LE & Wang, J (2011) Treatment strategies for overweight and obesity. J Nurs Scholarsh 43, 368375.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Numerical matrix

Figure 1

Table 2 Abbreviated summary of the AfN core competencies that were frequently indexed into themes during the analyses