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Open access
Research article
First published online January 23, 2020

Diabetes-related nutrition knowledge and dietary adherence in patients with Type 2 diabetes mellitus: A mixed-methods exploratory study

Abstract

Aim:

The aim of the study is to gain insights into the relationship between diabetes-related nutrition knowledge (DRNK) and diet quality in Singapore.

Methods:

Forty-two participants were recruited from a tertiary hospital. DRNK and diet quality were ascertained with the DRNK questionnaire and Alternate Healthy Eating Index 2010, respectively. Twenty-one semi-structured interviews of perceived barriers and enablers to adherence to dietary guidelines were audio recorded, transcribed and analysed.

Results:

Participants had a poor mean percentage DRNK score of 39.7% (±17.7) and diet quality of 54.2% (±9.4). Pearson’s correlation tests revealed no correlation between DRNK and diet quality (r –0.29; p=0.065) but suggest a moderate positive correlation between DRNK and psychosocial self-efficacy (r 0.41; p=0.008). Thematic analysis revealed six barriers (obesogenic environment; lack of time; conflict between advice and personal values; stress from external sources; lack of personal motivation; gaps in DRNK) and four enablers (personal motivation to improve condition; fear of T2DM complications; sufficient DRNK; presence of social support) to adherence to dietary guidelines.

Conclusion:

DRNK may not correlate with adherence to dietary guidelines; multiple mediating factors are identified when translating DRNK to practice.

Introduction

The rising prevalence of type 2 diabetes mellitus (T2DM) is an international concern, with Asia identified as an emerging epicentre of this global epidemic.1 In Singapore, this has been forecasted to double from 7.3% in 1990 to 15% in 2050, with concomitant implications for increased healthcare expenditure.2 Despite pharmacotherapy advances, interventions targeting lifestyle changes such as medical nutrition therapy (MNT) and diabetes self-management education (DSME) remain the cornerstones in T2DM management.3,4 Recent studies continue to demonstrate that patients with T2DM who received and adhered to MNT and DSME had improvements in anthropometric and biomedical markers relevant to disease outcomes.5,6
One of the common dietary goals in providing MNT and DSME is to improve diabetes-related nutrition knowledge (DRNK) to facilitate positive dietary practices and augment diet quality. Having knowledge about dietary management in T2DM may strongly influence food selection and dietary behaviours.7 Studies have shown that provision of nutrition education can improve DRNK and dietary practices in patients with T2DM.8-9 Diabetes knowledge (including diet-related) is also highly correlated to better psychosocial self-efficacy, a strong predictor for behavioural intention and dietary behaviours in patients with T2DM.10 A typical MNT consult to a patient with T2DM in the clinic/ward setting is a one-on-one therapy session, lasting between 30 and 45 minutes. The frequency and content of sessions is patient dependent and guided by local dietetics department protocols and national evidence best practice guidelines. Individualising the MNT consults is part of current practice, and the dietitian will tailor their counselling to address knowledge deficits or enablers and barriers towards its application.
While imparting DRNK is fundamental in dietary interventions, the MNT is not complete without the translation of knowledge to practice (adherence to dietary guidelines). Assessment of such adherence can be measured with a diet quality index – as an indicator of adherence to dietary guidelines/evidence-based dietary recommendations.11 A higher diet quality has also been associated with reduced risk of all-cause mortality and 10-year predicted cardiovascular disease in patients with T2DM.12,13 Other than DRNK, there are other factors affecting the adherence to dietary guidelines. Patients with T2DM are faced with situational obstacles when it comes to selection of food on a daily basis.14 Previous studies have identified time constraints, cost and lack of social support to be some examples of barriers to adherence to dietary recommendations.15,16
Despite being important components in the dietary management of T2DM, there is a dearth of research investigating factors affecting adherence to dietary guidelines in patients with T2DM. It is unclear whether better DRNK is associated with closer adherence to dietary guidelines. Our study aimed to (1) explore the correlation between DRNK and adherence to dietary guidelines, if any, and (2) describe enablers and barriers to dietary adherence in T2DM patients in Singapore.

Methods

We employed an embedded quantitative dominant, mixed-methods approach to this exploratory study.17 The quantitative and qualitative part of the study are reported in accordance to the Strengthening the Reporting of Observational studies in Epidemiology – Nutritional Epidemiology (STROBE-nut) and the COnsolidated criteria for REporting Qualitative (COREQ) research statement, respectively.18,19 The study was approved by the National Healthcare Group Domain specific review board Reference: 2017/00941, and conducted according to the tenets of the Declaration of Helsinki. Recruited participants received information about anonymity and confidentiality, consented to take part in the study and retained a written copy of the information sheet.
Purposive sampling was employed to recruit adult T2DM patients with dietary self-management issues. These are patients referred to a dietitian for MNT as deemed necessary by their attending physician. Only participants who were literate in English were included, as the research tools/methods (surveys and interviews) were neither available nor conducted in other languages. Patients with kidney diseases, type 1 diabetes and/or who were pregnant were excluded from the study, as they were not the focus of this study. Patients with cognitive impairment were also excluded, as the diabetes-related nutrition knowledge questionnaire (DRNK-Q) is a test of knowledge.
We used a locally validated tool, the DRNK-Q, to assess the level of DRNK in our cohort.20 The DRNK-Q consists of four sections and 27 questions related to the topics covered in dietetic therapy and education sessions for patients with T2DM: food portion and sizes; nutrition content of food; healthier food choices and safety; and food label reading. The DRNK-Q was completed before the patients were provided with further dietary advice to prevent contamination of results.
Dietary data were derived from diet histories (7-day typical food intake is reported with a checklist of food consumed using an in-depth interview style by dietitians) collected from the participant’s respective attending dietitians who performed routine dietary assessment prior to their MNT.21 These diet histories were analysed with nutrient analyses software (FoodWorks 9 Professional), a local food composition database and food labels.22 To ensure integrity of the dietary data, we measured the ratio of individual energy intake (EI) to basal metabolic rate (BMR) using the method as described by Goldberg et al.23 BMR was estimated with the Harris Benedict equation, consistent with the institution’s energy estimation method for T2DM patients.24
We measured degree of adherence to dietary guidelines with the Alternate Healthy Eating Index (AHEI-2010) as its components are closest to diet recommendations for individuals with T2DM in Singapore.25,26 The AHEI-2010 consists of 11 components, with score ranging 0–110. It includes six components addressing quantity and quality (vegetables; fruit; whole grains; nuts and legumes; long chain fats, percentage polyunsaturated fatty acids) and five components addressing items to be taken in moderation (sugar-sweetened beverages and fruit juice; red/processed meat; trans-fat; sodium; alcohol).27 Higher scores on the AHEI-2010 reflect closer adherence to dietary guidelines, indicative of better overall diet quality. We modified the scoring for sodium component by using consumption data from our national nutrition survey.28 We also used the adapted alcohol recommendation (<1 drink a day) as it is more culturally appropriate.29 Participants’ gender, age, ethnicity, weight, height, income, education, length of diabetes diagnosis, marital status and psychosocial self-efficacy (using the diabetes empowerment scale short-form) were also surveyed.30
To explore the factors affecting adherence to dietary guidelines, in-depth individual interviews were conducted to allow participants to freely express their personal views. Interviews were conducted with curtains drawn if at patient’s bedside, or in private rooms to ensure privacy.
C.G.C. (Senior Psychologist, PhD, second author) is a trained psychologist with expertise in management of patients with T2DM. Other than experience of delivering MNT to patients with T2DM, C.Y.H. (Senior Dietitian, first author) received training in mixed-methods research before this study. They jointly prepared two open-ended questions that aimed to encourage participants to share in-depth experiences and thoughts: (1) What are some factors that have helped you apply your nutrition knowledge to actual practice?; (2) What are some difficulties that you face when trying to apply what you have learnt about diabetes and food into your daily life? Verbal prompts were used only when participants did not spontaneously raise key issues related to the questions. C.Y.H. conducted training sessions with Z.W.W. and Y.T.C. (dietetic interns) on administering of the interviews. Both interviewers are not involved with the direct care/MNT or had any prior professional contact with those enrolled. The interviews were audio recorded with a recorder model Olympus VP-10 and transcribed verbatim. Transcription was done by Y.T.C. and vetted by C.Y.H. A thematic analysis approach, vetted by C.G.C., was used to examine the content of the aforementioned interviews. Coding of the key and recurring ideas in the transcripts were described and recorded. Any coding discrepancies were resolved through a discussion with the research team until a consensus was reached. Themes and subthemes were derived from the data solely and none were identified in advance. Interviews continued until data saturation was reached, where the interviewers reported to the researcher that the same comments are being heard repeatedly (information redundancy).
All analyses were performed using SPSS version 21.0 (IBM corp). Two-sided p-values <0.05 were considered significant. Independent samples t-tests were performed to detect any differences in energy intake:basal metabolic rate (EI:BMR) ratio between two groups of participants with differing DRNK level (lower vs. higher). Independent samples t-tests and chi-square tests were used to examine any differences in sociodemographic, dietary and DRNK-Q between these two groups. Pearson’s correlation tests were performed to explore any correlation between DRNK and diet quality as well as DRNK and covariates.

Results

Out of 164 potential participants screened, 47 were recruited, and 42 and 21 were analysed for quantitative and qualitative components, respectively (Figure 1). Participants (n=42) were classified into two groups (lower vs. higher percentage DRNK) based on the median DRNK score; results presented in Tables 1 and 2. There was no significant difference (P=0.26) between degrees of under-reporting between the two groups. The mean EI:BMR ratio between groups was 1.3±0.2 and 1.1±0.3 for lower and higher DRNK groups, respectively. Statistical analyses showed no significant differences between sociodemographic background and self-efficacy between the quantitative (n=42) and qualitative (n=21) cohort (Appendix 1). We presented relevant quotes from participants to illustrate findings from the semi-structured interviews (range 2–10 minutes), which are referred to throughout the text in Table 3 (B1–B16; E1–9).
Figure 1. Recruitment flowchart.
Table 1. Analyses of participants’ demographics and characteristics by % diabetes-related nutrition knowledge (DRNK) score.
  Lower DRNKa
(n=21)
Higher DRNKa
(n=21)
p-valueb
Age, years (±SD) 50 (16) 42 (12) 0.093
BMI, kg/m2 (±SD) 28.7 (7.7) 29.2 (6.4) 0.787
Gender     0.753
 Male 12 (57%) 13 (62%)  
 Female 9 (43%) 8 (38%)  
Ethnicity     0.607
 Chinese 6 (29%) 9 (43%)  
 Malay 8 (38%) 7 33(%)  
 Indian 7 (33%) 5 (24%)  
Personal monthly income     0.003
 <SGD2000 15 (71%) 5 (24%)  
 SGD2000-5999 5 (24%) 16 (76%)  
 ⩾SGD6000 1 (5%) 0 (0%)  
Education level     0.029
 Up to secondary 16 (76%) 8 (38%)  
 Pre-university 4 (19%) 7 (33%)  
 University/postgraduate 1 (5%) 6 (29%)  
Marital Status     0.024
 Single 4 (24%) 11 (52%)  
 Married 17 (81%) 10 (48%)  
Psychosocial self-efficacy, % score (±SD) 75 (16) 79 (10) 0.253
Years of diabetes diagnosis, years (±SD) 10 (10) 8 (8) 0.624
a
DRNK score range: lower 4–41; higher 44–78.
b
p-values obtained by one-way independent sample t-tests for continuous variables and chi-square test for categorical variables; values reflect the mean (standard deviation) for continuous variables or n (%) for categorical variables, rounded off to the nearest percentage.
Table 2. Analyses of dietary characteristics by % diabetes-related nutrition knowledge (DRNK) score.
  Lower DRNKa
(n=21)
Higher DRNKa
(n=21)
p-valueb
Total energy (kcal) 2094 (989) 1961 (1191) 0.695
Total carbohydrate (g) 267.5 (145.9) 239.5 (145.7) 0.537
Total sugar (g) 81.9 (75.3) 63.4 (41.5) 0.333
Energy contribution from carbohydrate (%) 50.3 (10.8) 49.5 (7.8) 0.797
Energy contribution from protein (%) 18.3 (6.0) 16.8(4.1) 0.346
Energy contribution from fat (%) 31.4 (8.5) 32.0 (6.5) 0.778
Energy contribution from saturated fat (%) 10.6 (3.2) 12.0 (4.0) 0.215
Alternate Healthy Eating Index 2010 score 57.2 (10.4) 51.1 (7.6) 0.039
 Vegetable 2.6 (2.3) 2.3 (2.2) 0.760
 Fruit 2.1 (2.8) 1.4 (1.3) 0.338
 Wholegrains 1.0 (1.4) 0.3 (0.4) 0.042
 Sugar-sweetened beverage and fruit juice 3.0 (4.3) 2.2 (3.9) 0.490
 Nuts and legumes 5.9 (4.6) 5.7 (4.6) 0.911
 Red or processed meat 8.3 (2.2) 7.1 (3.9) 0.213
 EPA+DHA 3.5 (3.7) 1.3 (2.3) 0.025
 PUFA 5.6 (2.9) 4.9 (2.3) 0.405
 Sodium 6.8 (4.3) 6.2 (3.9) 0.605
 Alcohol 9.8 (0.9) 10.0 (0.0) 0.747
a
DRNK score range: lower 4–41; higher 44–78.
b
p-values obtained by one-way independent sample t-tests for continuous variables; values reflect the mean (standard deviation); complete adherence to AHEI-2010 (trans-fat) in both groups.
Table 3. Sample quotes from qualitative interviews by theme.
Quote # Main theme
Sub-theme
Participant’s quote
Barriers to dietary adherence
Obesogenic environment
B1 Limited availability of healthy food choices “I think the environment factor also plays a role. If you are in a environment whereby the food choices is very limited right, sometimes there is (laugh) so little that you can, you know, do for your diet” (#24, Chinese woman, 32 years)
B2 Easy access to food high in fat and sugar “Nowadays so much fast food going on, all those eatery outside” (#09, Malay man, 70 years)
B3 Work environment requiring food handling “Because of my nature of my job, I have to teach people to cook. Six days I got aunty coming in for curry every day. You can’t expect me eat any other thing of course I want to join them in the curry. So this are some of the days and these are. . .not talking about just six curry in one day. It could be braised duck, braised meat, curry rendang and thing lar” (#29, Chinese man, 58 years)
B4 Social media featuring unhealthy food “Ah I feel that now the social media like Instagram especially and you know you have people who having diabetes and conditions like this, they will stumble upon Instagram that shows you know, cakes and foods, you know those food porn kind of thing, so they tend to go astray (laugh)” (#33, Malay woman, 47 years)
Lack of personal motivation
B5 Unmotivated to change current habits “This really a lot difficult. We already eat so many years of white rice you suddenly got [diabetes] you need to change, a lot of thing you cannot eat” (#32, Chinese woman, 33 years)
B6 Being in pre-contemplative stage of change “Is when I feel that I’m not uh, I’m not, I don’t have the diabetic, I’m a normal person. So as a normal person, I don’t need to see, think so much. Everything is okay to me” (#17, Chinese woman, 58 years)
Lack of time
B7 Busy work schedules “It means, uh any work factors, uh any uh timeframe that maybe didn’t didn’t fit your time to eat regularly, especially the medication and the type of food that have been prescribed on you” (#14, Malay man, 56 years)
Conflict between advice and personal values
B8 Perception of time needed to prepare healthier food vs. time willing to use to prepare healthier food “I would think that you need to make a lot of uh, advance preparation lar, if let’s say we do what to apply what we have learnt. Uh, ya, you need to head to the supermarket et cetera in advance [to get the so call] healthy food et cetera and you bring it yourself along” (#24, Chinese woman, 32 years)
B9 Perception of cost of healthier food vs. willingness/ability to pay for food “Because normally they say, ah this one is diabetic friendly, then you choose the product which is cheaper, and maybe taste nicer, but may not be diabetic friendly”(#27, Malay Man, 60 years)
B10 Perception of healthier food vs. personal food preferences “But if I eat something like bread, you know, wholemeal bread. At the beginning yes, I can eat you know, but in a run ar, wah, I cannot take it already, you know. I don’t feel fulfil” (#30, Malay man 45 years)
B11 Perception that foods appropriate for one’s culture are unhealthy “Because like especially uh tsk, for us Malay ar you know one, all the dishes ar all like, tsk, can be very oily this sort of things” (#30, Malay man 45 years)
Stress from external sources
B12 Pressure from family to control condition “Probably is uh feel very stressful, very. . . . u know, stressful and very irritated. When getting. . . angry sometime when you cannot have what do you want lar, so your family control” (#04, Indian man, 55 years)
B13 Stress from unsupportive friends “Friends also important. When you go out, you see them eat you cannot eat, this is also one of the difficulty” (#32, Chinese woman, 33 years)
B14 Financial stress from cost of diabetes “Outside, whenever you eat outside, the, that’s not very much like range of healthy food right. And then furthermore ju- to- just to control the diabetes, the medicine and the items for example the test strips, the glucose test strip. . . . . . is very very expensive” (#18, Malay woman, 32 years)
Gaps in diabetes-related nutrition knowledge
B15 Lack of knowledge “But those who have no knowledge, they don’t know you can substitute this for that, which is more healthier” (#27, Malay man, 60 years)
B16 Unable to retain knowledge “And I think the main factor is for for the health authority to just keep on educating people like us who are maybe not uh savvy, incompetent or that kind of stuff” (#14, Malay man, 56 years)
Enablers to dietary adherence
Presence of social support
E1 Support from healthcare professionals “Uh, in the hospital, the. the professional people lar are helping me lar” (#06, Indian woman, 41 years)
E2 Support from friends/peers “Having friends who have uh same kind of uh, you know, uh having diabetes as you, same as you. So, you can actually help uh encourage each other, you know uhm is better than being alone, I think having someone to correlate to actually really helps me a lot on this lar” (#24, Chinese woman, 32 years)
E3 Support from religious movement/beliefs “God can help” (#10, Chinese man, 80 years)
E4 Support from family members “Outside my whole family very sad about my toe. And my daughter explained to me: Mum, you can’t take mum, you’ve to take care, everything must stop” (#13, Indian woman, 56 years)
Presence of personal motivation to improve condition
E5 Individual responsibility towards managing condition “h I think in terms of my understanding, uh, we need to really take active concern of our health. After all at the end of the day, we are the one who are facing the music, if we don’t really take good care of it lar” (#14, Malay man, 56 years)
E6 Recognition of importance of diet control “To get correct food ar, in order not to increase our diabetes lar” (#04, Indian man, 55 years)
Fear of diabetes complications
E7 Fear of suffering “Oh, because I’ve been through with all the symptoms. My sugar is pretty high before, like this time, this time was the highest ah 29.9. need to go toilet more often., then pain in your privates, alright, then the foreskin is tighten, then you have constipation, then you have like tiredness, you get really tired” (#05, Chinese man, 43 years)
E8 Fear of death “I have a friend that have already passed away because of uhm from diabetes leads to kidney and affect all the other organs, the body. So, he was quite young around my age, thirty two!” (#18, Malay woman, 32 years)
Sufficient diabetes-related nutrition knowledge
E9 Availability of resources that can help patients improve their diabetes-related nutrition knowledge “So I think these knowledge, information and this kind of thing will help to educate patient like me to to have a better life lar. To practice more healthy diet and so on. . . . we need to educate this every on ongoing” (#14, Malay man, 55 years)
Participants in our cohort (n=42) had overall poor DRNK, average percentage score of 40% (±18). The mean percentage (±SD) scores for DRNK sections (1) nutrition content of food, (2) food portion and sizes, (3) healthier food choices and safety and (4) food label reading were 32% (±19), 43% (±25), 31% (±18) and 61% (±18), respectively. On average, participants failed (<50%) three out of four components of the DRNK questionnaire. Only 31% of the participants managed to pass the DRNK questionnaire (total score ⩾50%). It is worth mentioning that participants had a wide range of DRNK from 4% to 78% and a median of 44%.
Independent sample t-tests revealed that participants in the higher DRNK group scored significantly higher in all four sections of the DRNK-Q as compared with those in in the lower DRNK group (p<0.05 for all). There were significantly more participants in the lower DRNK group that were married, and belonged to the lower personal monthly income and education groups (p<0.05 for all).
The average total daily EI, percentage of energy contribution from carbohydrate, protein and fat was 2028±1070 kcal, 50±9%, 17±5% and 32±7%, respectively. The mean overall diet quality score in our cohort (n=42), as ascertained by the AHEI-2010, was 54.2±9.4. The median diet quality score was 54.2, with poorest intake in the following components: whole grains, fruits, vegetables, long chain n-3 polyunsaturated fatty acids, excessive sugar-sweetened beverages and fruit juice.
With reference to Table 2, participants belonging to the higher DRNK group tended to have lesser total energy, carbohydrate and sugar intake from their diets on average, though the differences did not reach a statistical significance. On contrary, participants in the higher DRNK group averaged a significantly lower diet quality as ascertained by the AHEI-2010 (p=0.039). The subcomponents that were significantly lower were wholegrains (p=0.042) and EPA+DHA (p=0.025). Pearson’s tests did not suggest any correlation between DRNK and overall diet quality (r –0.29; p=0.065) or other covariates. However, a moderate positive correlation between DRNK and psychosocial self-efficacy was observed (r 0.41; p=0.008).
From the interviews, participants often felt that their environment offered limited healthier food choices (B1) and easy access to those high in fat and sugar (B2), deterring them from selecting foods that were deemed healthier. This included work environments that required handling of food such as in a kitchen (B3). They also see social media platforms featuring ‘unhealthy’ food as another environmental (media) barrier towards adherence to dietary guidelines (B4).
The lack of motivation to change current habits (B5) or being in a pre-contemplative stage of change (B6) often surfaced as barriers towards adherence to dietary guidelines. Participants described that busy work schedules made regular meals difficult and discourage them from making healthier food choices (B7).
The differences in participants’ perception of time (B8) and financial cost (B9) involved to include healthier food in their diet were brought up as barriers. Personal opinions and recommended food suitable for individuals with T2DM also compete with their usual food preference (B10) and culture (B11).
Participants reported that pressure from family members to maintain a ‘diabetic diet’ was often perceived as stressful (B12). They also felt pressure from friends that were unsupportive towards their decision to choose healthier food options when dining out (B13). Financial costs associated with other aspects of diabetes self-care were also identified as a source of added stress that resulted in deprioritising adherence to dietary guidelines (B14).
Participants reported that the lack of DRNK (B15) and the inability to retain the taught knowledge (B16) as other reasons for poor adherence to dietary guidelines. There was a general tendency to feel that such knowledge should be imparted through repeated education sessions.
In terms of enablers to healthy eating, participants perceived that support from healthcare professionals (E1), family members (E2), friends/peers (E3) and religious movement/beliefs (E4) as facilitators towards better adherence to dietary guidelines.
Participants claimed that the presence of personal motivation, through feelings of individual responsibility towards managing T2DM (E5) and acknowledgement of the importance of diet control (E6) were enablers towards adherence to dietary recommendations. Participants also described the fear of diabetes-related complications leading to sufferings such as uncomfortable hyperglycaemia symptoms (E7) or death (E8) as enablers. They recognised having sufficient DRNK as essential in helping them make healthier food choices, highlighting the necessity of having continuous access to a DRNK source to sustain positive dietary changes (E9).

Discussion

This is the first study to report on DRNK levels and factors affecting adherence to dietary guidelines in Singapore. Other than an overall poor DRNK and diet quality, we found a moderate positive correlation between DRNK and psychosocial self-efficacy and identified factors affecting DRNK and adherence to dietary guidelines.
Our cohort had a lower mean DRNK as compared with a recent similar study that found mean DRNK to be 59.2±16.4%.24 This could be due to a higher proportion of lower socio-economic class participants in our study (48% vs. 31%), as socio-economic status has an impact on nutrition knowledge.31 Participants fared worst in the knowledge area on food portions and healthier food choices. During education, pictorial and teach back methods can be implemented routinely for those with a lower level of educational attainment.32
The moderate positive correlation between DRNK and self-efficacy in our cohort is similar to another study in India (r 0.317; p<0.001).33 As evidence is scarce, a prospective investigation is warranted to examine if improving DRNK is associated with better self-efficacy.
We observed fair diet quality scores in our cohort similar to other studies reporting scores ranging from 40.2 to 58.8, with poor intake of wholegrains, dairy, fruits and vegetables.34,35 In Singapore, the promotion of wholegrains, fruits and vegetables is ubiquitous among public diabetes-related health messages, guidelines and education.26 However, our findings suggest that these health promotional messages may not necessarily be translated into ‘process knowledge’ in patients with T2DM.36 Previously studies have shown a weak positive relationship between nutrition knowledge and diet quality in the general population.37,38 The lack of correlation between DRNK and diet quality in our cohort of patients with T2DM suggests the influence of mediating factors between them.
Our qualitative data provided insights to possible mediators between DRNK and diet quality, lending support to our conceptual framework describing local factors affecting adherence to dietary guidelines in patients with T2DM (Figure 2). Cumulatively, the perceptions of barriers towards adherence to dietary guidelines were mostly extrinsic. There was an overarching sentiment that an obesogenic environment was the key reason. It is well known that the built and workplace environments play a substantial role in dietary practices and prevention of obesity.38,39 In addition, we found digital social media to be a part of these environments promoting unhealthier food choices and hindering adherence to healthier food choices.
Figure 2. Conceptual framework of diabetes-related nutrition knowledge, barriers and enablers to adherence to dietary guidelines in Singaporean patients with Type 2 Diabetes.
1as evaluated by the Alternate Healthy Eating Index; --- hypothesised relationship.
Participants also identified having a busy work schedule as a barrier towards adherence to dietary recommendations, which resulted in prioritising satiety over recommended ‘acceptable food’.40-41 Some participants reported resentment towards their family and friends’ ‘over-controlling’ behaviour on their diet, isolating them by disallowing participation in consumption of certain communal food at social events. While social support can foster positivity towards diabetes self-care activities, an opposite effect can arise from such negative social interactions.42
The burden of diabetes-related expenses such as medication was also reported to compete with perceived financial costs associated with healthy eating. A local study revealed that the diabetes-related medical cost in Singapore (USD1575.6 per annum per patient) was indeed higher than other Asian countries.43
While patients can be motivated through a sense of responsibility towards T2DM and recognition of importance of diet in diabetes self-care, the lack of it was identified as a barrier to improving eating habits.44
In coherence with having poor DRNK on average, some participants described trouble processing or recalling information provided to them. Inadequate understanding of the diet–disease link has been a long-standing barrier towards adherence to dietary guidelines.16 The differences in perspectives between dietary advice and what participants were able to accept or change may also give rise to negative connotations towards diet adherence.44 Therefore, individualised DRNK education sessions play a vital role to synthesise old and new knowledge to help improve compliance to dietary recommendations and MNT.45-46 Time spent with healthcare professionals may have a far-reaching effect on diet adherence. Relationship and trust between healthcare providers and patients have been associated with improved adherence to diabetes self-care practices.47,48
The present exploratory study has several strengths. The use of a locally validated questionnaire ensured cultural appropriateness and accuracy when assessing DRNK. The purposive sampling method allowed us to recruit from our population of interest, gaining new insights to the issue surrounding a common group of acute care patients. However, our results are not without limitations. We recognise that the dietary data collected can be affected by acute events and change in appetite leading to the participant’s acute care admission. However, this was taken into consideration as patients referred for poor oral intake were excluded in our study. The small sample size collected from a single institution also limits the generalisability of our results. We consolidated themes from our results and created the Barriers and Enablers to Healthy Eating (BE-2-HE) checklist available in English, Mandarin, Malay and Tamil (Appendix 2). However, further study is suggested to validate it among non-English speaking individuals with T2DM. Other factors that may influence diet such as prior dietary intervention, presence of T2DM complications, and prior incidences of hypoglycaemia were not assessed in this study. We also suggest that future research has a prospective design with a larger sample size to investigate the causal relationship between DRNK and diet quality and if reduction of barriers and/or increment of enablers to dietary guidelines recommendations are directly associated with higher diet quality.

Conclusion

We identified factors, including DRNK, mediating adherence to dietary guidelines. Though DRNK is fundamental to individuals with T2DM, dietary counselling for patients with T2DM goes beyond a one-off nutrition education session. It is important to enforce follow-up dietitian sessions to explore facilitators and barriers towards translating DRNK into practice. Consequently, there is a role for dietitians to empower patients with T2DM beyond increasing DRNK. The BE-2-HE checklist could facilitate dietary counselling by helping patients with T2DM self-identify factors affecting adherence to dietary guidelines before seeing their healthcare practitioners. However, further detailed research is suggested to validate and ascertain its usefulness.

Acknowledgments

The authors would like to acknowledge the kind approval of Dr Martha Funnell of Michigan Diabetes Research Centre for the use of the DES-SF questionnaire. The investigators would also like to thank Singapore polytechnic and Dietetics Department, Ng Teng Fong General Hospital for the support in collection of data.

Ethical approval

The study was approved by the Domain specific review board (NHG DSRB Reference: 2017/0094).

Informed Consent

Informed consent was provided by all participants.

Declaration of Conflicting Interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The authors received no financial support for the research, authorship, and/or publication of this article.

ORCID iD

Footnote

Author Declaration I, C.Y.H., hereby certify that the manuscript that I am submitting on behalf of all authors is entirely original, where otherwise indicated. I am aware of the journal’s regulations concerning plagiarism, including those regulations concerning disciplinary actions that may result from plagiarism. Any use of the works of any other author, in any form, is properly acknowledged at their point of use.

Data availability statement

Upon reader’s request and approval from the NHG domain specific ethics review board.

References

1. Zheng Y, Ley SH, Hu FB. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat Rev Endocrinol 2018; 14: 88–98.
2. Phan TP, Alkema L, Tai ES, et al. Forecasting the burden of type 2 diabetes in Singapore using a demographic epidemiological model of Singapore. BMJ Open Diabetes Res Care 2014; 2: e000012.
3. American Diabetes Association. Standards of medical care in diabetes—2016 abridged for primary care providers. Clin Diabetes 2016; 34: 3–21.
4. Early KB, Stanley K. Position of the Academy of Nutrition and Dietetics: The role of medical nutrition therapy and registered dietitian nutritionists in the prevention and treatment of prediabetes and type 2 diabetes. J Acad Nutr Diet 2018; 118: 343–353.
5. Marincic PZ, Hardin A, Salazar MV, et al. Diabetes self-management education and medical nutrition therapy improve patient outcomes: A pilot study documenting the efficacy of registered dietitian nutritionist interventions through retrospective chart review. J Acad Nutr Diet 2017; 117: 1254–1264.
6. Mottalib A, Salsberg V, Mohd-Yusof BN, et al. Effects of nutrition therapy on HbA1c and cardiovascular disease risk factors in overweight and obese patients with type 2 diabetes. Nutr J 2018; 17: 42.
7. Savoca M, Miller C. Food selection and eating patterns: Themes found among people with Type 2 diabetes mellitus. J Nutr Educ 2001; 33: 224–233.
8. Wang H, Song Z, Ba Y, et al. Nutritional and eating education improves knowledge and practice of patients with type 2 diabetes concerning dietary intake and blood glucose control in an outlying city of China. Public Health Nutr 2014; 17: 2351–2358.
9. Miller LM, Cassady DL. The effects of nutrition knowledge on food label use. A review of the literature. Appetite 2015; 92: 207–216.
10. Didarloo A, Shojaeizadeh D. Psychosocial correlates of dietary behaviour in type 2 diabetic women, using a behaviour change theory. J Health Popul Nutr 2014; 32: 335–341.
11. Wirt A, Collins CE. Diet quality–what is it and does it matter? Public Health Nutr 2009; 12: 2473–2492.
12. Onvani S, Haghighatdoost F, Surkan PJ, et al. Adherence to the Healthy Eating Index and Alternative Healthy Eating Index dietary patterns and mortality from all causes, cardiovascular disease and cancer: A meta-analysis of observational studies. J Hum Nutr Diet 2017; 30: 216–226.
13. Huffman FG, Zarini GG, Mcnamara E, et al. The Healthy Eating Index and the Alternate Healthy Eating Index as predictors of 10-year CHD risk in Cuban Americans with and without type 2 diabetes. Public Health Nutr 2011; 14: 2006–2014.
14. Schlundt DG, Rea MR, Kline SS, et al. Situational obstacles to dietary adherence for adults with diabetes. J Am Diet Assoc 1994; 94: 874–879.
15. Williamson AR, Hunt AE, Pope JF, et al. Recommendations of dietitians for overcoming barriers to dietary adherence in individuals with diabetes. Diabetes Educ 2000; 26: 272–279.
16. Vijan S, Stuart NS, Fitzgerald JT, et al. Barriers to following dietary recommendations in Type 2 diabetes. Diabetic Med 2005; 22: 32–38.
17. Zoellner J, Harris JE. Mixed-methods research in nutrition and dietetics. J Acad Nutr Diet 2017; 117: 683–697.
18. Lachat C, Hawwash D, Ocké MC, et al. Strengthening the Reporting of Observational Studies in Epidemiology–nutritional epidemiology (STROBE-nut): An extension of the STROBE statement. Nutr Bull 2016; 41: 240–251.
19. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): A 32-item checklist for interviews and focus groups. Int J Qual Health Care 2007; 19: 349–357.
20. Han CY, Zheng X, Lee LF, et al. Development of a diabetes-related nutrition knowledge questionnaire for individuals with type 2 diabetes mellitus in Singapore. Nutr Diet 2019; 76: 567–573.
21. Shim JS, Oh K, Kim HC. Dietary assessment methods in epidemiologic studies. Epidemiol Health 2014; 36: e2014009
22. Health Promotion Board, Singapore. Energy and nutrient composition of food, https://focos.hpb.gov.sg/eservices/ENCF (2011, accessed 5 Jan 2018).
23. Goldberg GR, Black AE, Jebb SA, et al. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 1991; 45: 569–581.
24. Breen C, Ryan M, Gibney MJ, et al. Diabetes-related nutrition knowledge and dietary intake among adults with type 2 diabetes. Br J Nutr 2015; 114: 439–447.
25. Health Promotion Board, Singapore. Diabetes: diet and lifestyle, https://www.healthhub.sg/live-healthy/886/diabetes-diet-and-lifestyle (2018, accessed 30 Feb 2018).
26. Health Promotion Board, Singapore. My healthy plate, https://www.healthhub.sg/programmes/55/my-healthy-plate (2018, accessed 30 Feb 2018).
27. Chiuve SE, Fung TT, Rimm EB, et al. Alternative dietary indices both strongly predict risk of chronic disease. J Nutr 2012; 142: 1009–1018.
28. Health Promotion Board, Singapore. Report of the National Nutrition Survey 2010, February 2013. Singapore: Health Promotion Board.
29. Neelakantan N, Koh WP, Yuan JM, et al. Diet-quality indexes are associated with a lower risk of cardiovascular, respiratory, and all-cause mortality among Chinese adults. J Nutr 2018; 148: 1323–1332.
30. Anderson RM, Fitzgerald JT, Gruppen LD, et al. The Diabetes Empowerment Scale-short form. Diabetes Care 2003; 26: 1641–1642.
31. Grunert KG, Wills JM, Fernández-Celemín L. Nutrition knowledge, and use and understanding of nutrition information on food labels among consumers in the UK. Appetite 2010; 55: 177–189.
32. Negarandeh R, Mahmoodi H, Noktehdan H, et al. Teach back and pictorial image educational strategies on knowledge about diabetes and medication/dietary adherence among low health literate patients with type 2 diabetes. Prim Care Diabetes 2013; 7: 111–118.
33. Mehta NV, Trivedi M, Maldonado LE, et al. Diabetes knowledge and self-efficacy among rural women in Gujarat, India. Rural Remote Health 2016; 16: 3629.
34. Murray AE, McMorrow AM, O’Connor E, et al. Dietary quality in a sample of adults with type 2 diabetes mellitus in Ireland; a cross-sectional case control study. Nutr J 2013; 12: 110.
35. Coltman AE, Keim KS, Chapman-Novakofski KM, et al. Assessing diet quality of a type 2 diabetes sample using the Healthy Eating Index 2005. Top Clin Nutr 2013; 28: 145–153.
36. Spronk I, Kullen C, Burdon C, et al. Relationship between nutrition knowledge and dietary intake. Br J Nutr 2014; 111: 1713–1726.
37. Wardle J, Parmenter K, Waller J. Nutrition knowledge and food intake. Appetite 2000; 34: 269–275.
38. Swinburn B, Egger G, Raza F. Dissecting obesogenic environments: The development and application of a framework for identifying and prioritizing environmental interventions for obesity. Prev Med 1999; 29: 563–570.
39. Horowitz CR, Colson KA, Hebert PL, et al. Barriers to buying healthy foods for people with diabetes: Evidence of environmental disparities. Am J Public Health 2004; 94: 1549–1554.
40. Brown SA, García AA, Brown A, et al. Biobehavioral determinants of glycemic control in type 2 diabetes: A systematic review and meta-analysis. Patient Educ Couns 2016; 99: 1558–1567.
41. Satter E. Hierarchy of food needs. J Nutr Educ Behav 2007; 39: 187–188.
42. Wiebe DJ, Helgeson V, Berg CA. The social context of managing diabetes across the life span. Am Psychol 2016; 71: 526–538
43. Ng CS, Toh MP, Ko Y, et al. Direct medical cost of type 2 diabetes in Singapore. PLoS ONE 2015; 27: e0122795.
44. Booth AO, Lowis C, Dean M, et al. Diet and physical activity in the self-management of type 2 diabetes: Barriers and facilitators identified by patients and health professionals. Prim Health Care Res 2013; 14: 293–306.
45. Salmela S, Poskiparta M, Kasila K, et al. Transtheoretical model-based dietary interventions in primary care: A review of the evidence in diabetes. Health Educ Res 2008; 24: 237–252.
46. Bowen ME, Cavanaugh KL, Wolff K, et al. The diabetes nutrition education study randomised controlled trial: A comparative effectiveness study of approaches to nutrition in diabetes self-management education. Patient Educ Couns 2016; 99: 1368–1376.
47. Birkhäuer J, Gaab J, Kossowsky J, et al. Trust in the health care professional and health outcome: A meta-analysis. PloS ONE 2017; 7: e0170988.
48. Choi TS, Walker KZ, Lombard CB, et al. Optimising the effectiveness of diabetes education in an East Asian population. Nutr Diet 2017; 74: 253–260.

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Article first published online: January 23, 2020
Issue published: June 2020

Keywords

  1. Diet quality
  2. diabetes-related nutrition knowledge
  3. barriers
  4. enablers
  5. type 2 diabetes mellitus

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Authors

Affiliations

Chad Yixian Han
Department of Dietetics, National University Hospital, Singapore
Department of Nutrition and Dietetics, College of Nursing and Health Sciences, Flinders University, Australia
Cherie Geok Boon Chan
Department of Psychology, Ng Teng Feng General Hospital, Singapore
Su Lin Lim
Department of Dietetics, National University Hospital, Singapore
Xiaomei Zheng
Department of Dietetics and Nutrition, Ng Teng Feng General Hospital, Singapore
Zhing Wen Woon
Department of Community Operations, Ng Teng Feng General Hospital, Singapore
York Thong Chan
Department of Dietetics and Nutrition, Ng Teng Feng General Hospital, Singapore
Y.T.C. is pursuing further studies and has left the place where the research was conducted
Kalpana Bhaskaran
Glycemic Index Research Unit, School of Applied Science, Temasek Polytechnic, Singapore
Kim Fong Tan
Department of Dietetics, National University Hospital, Singapore
Kejendran Mangaikarasu
Professional Training and Assessment Standards Division, Ministry of Health, Singapore
Mary Foong-Fong Chong
Saw Swee Hock School of Public Health, National University Singapore, Singaporec

Notes

Chad Yixian Han, BND (Hons) APD, Research Dietitian, PhD Candidate, Department of Nutrition and Dietetics, College of Nursing and Health Sciences, Flinders University, Sturt Road, Bedford Park, Adelaide, South Australia, SA5042, Australia. Emails: [email protected]/[email protected]

Authors’ contributions

C.Y.H. and M.F.C. conceived of the presented idea, developed the theory and study design. C.Y.H., X.M., Y.T.C., Z.W.W. carried out the project, while K.B. and M.F.C. supervised. C.Y.H. C.G.C., K.M., K.F.T., K.B., M.F.C. and S.L.L contributed to the interpretation of the results. C.Y.H. took the lead in writing the manuscript. All authors provided critical feedback and helped shape the research, analysis and manuscript.

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