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DIFFERENCES IN SELFREPORTED HABIT BETWEEN
INDIVIDUALS WHO DO AND
DO NOT STRICTLY ADHERE
TO THE GLUTEN FREE DIET

EMILY KOTHE
BARBARA MULLAN
CRICOS Provider Code: 0113B
BACKGROUND
• Coeliac disease is a multi-systems autoimmune disorder that
effects about 1% of the world’s population.

• The autoimmune response within coeliac disease is triggered by
exposure to gluten; protein in wheat, rye and barley

CRICOS Provider Code: 0113B
BACKGROUND
• Strict adherence to a gluten free diet is the only effective
method of managing coeliac disease
• However, many individuals with coeliac disease fail to strictly
adhere to the gluten free diet.
• Recent research shows that the majority of non-adherence is
accidental and that intention may be a relatively poor
predictor of such non-adherence.

CRICOS Provider Code: 0113B
THE PRESENT STUDY
• The aim of the present study was to investigate factors that
distinguish between individuals who and do not successfully
adhere to the diet

• This research was primarily interested in identifying factors
that account for non-adherence within individuals who report
that they do not intentionally consume gluten.
• It was hypothesized that habit strength may be a predictor of
accidental non-adherence and would distinguish between
individuals who do and do not successfully adhere to the diet.

CRICOS Provider Code: 0113B
METHOD
• Individuals with biopsy confirmed coeliac disease were
recruited from the Coeliac Society of Victoria and Tasmania.
• Participants completed a range of measures including:
– Demographic and disease characteristics
– A validated self-report measure of gluten-free diet
adherence (CDAT)
– The self-report habit index (SRHI).
• Prior to analysis, data was screened to identify individuals who
reported that they did not voluntarily consume gluten.

CRICOS Provider Code: 0113B
RESULTS
• One-hundred and twenty five participants met criteria for the
study.
–
–
–
–

Mean age = 48.13 years
Mean age at diagnosis = 42.13 years
Mean length of time following the diet = 7.78 years
Gender = 88% female

• Scores on the CDAT indicated that 83% of individuals were
strictly adherent to the diet (mean CDAT scores = 10.76)
• Independent samples t-tests were used to compare habit scores
between adherent and non-adherent individuals.

CRICOS Provider Code: 0113B
RESULTS
• A logistic regression analysis was conducted to predict CDAT
adherence category (strictly adherent vs. not strictly
adherent) using SHRI scores.
• A one unit increase in SRHI score increased the odds of being
strictly adherent by 1.6 times (Nagelkerke R2 =
.086, p=.007, OR=1.577).
• The automaticity sub-scale of the SHRI alone accounted for 6.2%
of the variance in adherence levels (Nagelkerke R2 =
.062, p=.021, OR=1.08)

CRICOS Provider Code: 0113B
RESULTS
• We also attempted to identify which items within the SHRI could
distinguish between individuals in different adherence
categories.
• Individuals who were strictly adherent to the diet were
significantly more likely to report that following a strict
gluten free diet is…
– Something that makes me feel weird if I do not do it
– I start doing before I realise I’m doing it
– That should would require effort not to do it
– That I have no need to think about doing
– That is “typically me”
– I have been doing a long time
– I do frequently

CRICOS Provider Code: 0113B
CONCLUSIONS
• Even among individuals who reported that they did not
intentionally consume gluten, only 83% of participants were
strictly adherent to the gluten free diet.
• Results suggest that habit may be an important factor for
determining whether or not individuals are strictly adherent
to the gluten free diet.
• This study identified several indicators of automaticity that
appeared to distinguish between individuals that were
successful in adhering to the diet and those that were not.

CRICOS Provider Code: 0113B
CONCLUSIONS
• Recent research suggests that motivational factors such as
intention may be limited in their ability to help understand
accidental non-adherence to a gluten free diet. Habit may
provide a better method of understanding this type of nonadherence.
• These findings would suggest that interventions may benefit
from a focus on increasing habit in order to improve gluten
free diet adherence.

CRICOS Provider Code: 0113B
THANK YOU
EMILY.KOTHE@DEAKIN.EDU.AU
BARBARA.MULLAN@CURTIN.EDU.AU

CRICOS Provider Code: 0113B

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ASBHM - The role of habit in gluten free diet adherence - Kothe and Mullan 2014

  • 1. DIFFERENCES IN SELFREPORTED HABIT BETWEEN INDIVIDUALS WHO DO AND DO NOT STRICTLY ADHERE TO THE GLUTEN FREE DIET EMILY KOTHE BARBARA MULLAN CRICOS Provider Code: 0113B
  • 2. BACKGROUND • Coeliac disease is a multi-systems autoimmune disorder that effects about 1% of the world’s population. • The autoimmune response within coeliac disease is triggered by exposure to gluten; protein in wheat, rye and barley CRICOS Provider Code: 0113B
  • 3. BACKGROUND • Strict adherence to a gluten free diet is the only effective method of managing coeliac disease • However, many individuals with coeliac disease fail to strictly adhere to the gluten free diet. • Recent research shows that the majority of non-adherence is accidental and that intention may be a relatively poor predictor of such non-adherence. CRICOS Provider Code: 0113B
  • 4. THE PRESENT STUDY • The aim of the present study was to investigate factors that distinguish between individuals who and do not successfully adhere to the diet • This research was primarily interested in identifying factors that account for non-adherence within individuals who report that they do not intentionally consume gluten. • It was hypothesized that habit strength may be a predictor of accidental non-adherence and would distinguish between individuals who do and do not successfully adhere to the diet. CRICOS Provider Code: 0113B
  • 5. METHOD • Individuals with biopsy confirmed coeliac disease were recruited from the Coeliac Society of Victoria and Tasmania. • Participants completed a range of measures including: – Demographic and disease characteristics – A validated self-report measure of gluten-free diet adherence (CDAT) – The self-report habit index (SRHI). • Prior to analysis, data was screened to identify individuals who reported that they did not voluntarily consume gluten. CRICOS Provider Code: 0113B
  • 6. RESULTS • One-hundred and twenty five participants met criteria for the study. – – – – Mean age = 48.13 years Mean age at diagnosis = 42.13 years Mean length of time following the diet = 7.78 years Gender = 88% female • Scores on the CDAT indicated that 83% of individuals were strictly adherent to the diet (mean CDAT scores = 10.76) • Independent samples t-tests were used to compare habit scores between adherent and non-adherent individuals. CRICOS Provider Code: 0113B
  • 7. RESULTS • A logistic regression analysis was conducted to predict CDAT adherence category (strictly adherent vs. not strictly adherent) using SHRI scores. • A one unit increase in SRHI score increased the odds of being strictly adherent by 1.6 times (Nagelkerke R2 = .086, p=.007, OR=1.577). • The automaticity sub-scale of the SHRI alone accounted for 6.2% of the variance in adherence levels (Nagelkerke R2 = .062, p=.021, OR=1.08) CRICOS Provider Code: 0113B
  • 8. RESULTS • We also attempted to identify which items within the SHRI could distinguish between individuals in different adherence categories. • Individuals who were strictly adherent to the diet were significantly more likely to report that following a strict gluten free diet is… – Something that makes me feel weird if I do not do it – I start doing before I realise I’m doing it – That should would require effort not to do it – That I have no need to think about doing – That is “typically me” – I have been doing a long time – I do frequently CRICOS Provider Code: 0113B
  • 9. CONCLUSIONS • Even among individuals who reported that they did not intentionally consume gluten, only 83% of participants were strictly adherent to the gluten free diet. • Results suggest that habit may be an important factor for determining whether or not individuals are strictly adherent to the gluten free diet. • This study identified several indicators of automaticity that appeared to distinguish between individuals that were successful in adhering to the diet and those that were not. CRICOS Provider Code: 0113B
  • 10. CONCLUSIONS • Recent research suggests that motivational factors such as intention may be limited in their ability to help understand accidental non-adherence to a gluten free diet. Habit may provide a better method of understanding this type of nonadherence. • These findings would suggest that interventions may benefit from a focus on increasing habit in order to improve gluten free diet adherence. CRICOS Provider Code: 0113B