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Record W3166556480 · doi:10.7190/shu-thesis-00357

Interactions of obesity associated behaviours, BMI, age, sex, and FTO genotype

2019· dissertation· en· W3166556480 on OpenAlexaboutno aff
Hanan Mohammed Abdella

Bibliographic record

VenueSheffield Hallam University · 2019
Typedissertation
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsObesityPsychologyDisordered eatingAlexithymiaDevelopmental psychologyEmotional eatingBody mass indexPsychological interventionAmotivationAffect (linguistics)Clinical psychologyEating behaviorEating disordersMedicineSocial psychologyPsychiatryIntrinsic motivationEndocrinology

Abstract

fetched live from OpenAlex

Obesity is a complicated condition which occurs due to interactions between many contributing physiological, psychological and genetic factors. Age, sex and body mass index (BMI) are also important in the interaction with obesity-related factors leading to a rise in this epidemic. Knowledge about the interactions that happen between these factors provides a basis for the development of body mass-reducing interventions for people with obesity. Eating behaviours affect caloric intake and are implicated in the development of obesity. Three types of eating behaviours namely; 1) cognitive restraint, 2) emotional eating and 3) uncontrolled eating have been studied for associations with obesity in various populations. Food cravings refer to an irresistible urge to eat a specific type of food which has been implied to contribute to a loss of control over eating. The experience of food cravings is related to higher BMI and obesity. Motivation to exercise is also an important factor that influences people´s eating habits as shown in previous studies. A taxonomy where motivation is organised in the form of a continuum that covers the different degrees of self-determination of behaviour, from the non-self-determined, to the self-determined, established three types of motivation (amotivation, extrinsic motivation and intrinsic motivation) and a series of behavioural regulation stages (amotivation, external regulation, introjected regulation, identified regulation and intrinsic regulation). Problems with emotional regulation may contribute to the development and maintenance of abnormal eating behaviour. Alexithymia is defined as an inability to describe and/or recognise one's own emotions and is considered a common feature in eating disorders. Alexithymia is likely to be associated with problems in modulating affect and with difficulties in the interpersonal and social realm. The programme of research as part of this PhD was conducted on 424 volunteers from Sheffield Hallam University students and staff, and there were 183 participants of weight-loss interventions. Eating behaviours were measured using the revised Three-Factor Eating Questionnaire (TFEQ-R18); food cravings were measured by the food cravings inventory (FCI), motivation for exercise using the Behavioural Regulation in Exercise Questionnaire-2 (BREQ-2) and alexithymia was measured by The Toronto Alexithymia Scale (TAS 20). DNA samples were genotyped using the TaqMan method for the rs9939609 polymorphism in the obesity-associated gene FTO. Questionnaire data were analysed for associations between the TFEQ-R18 and FCI, BREQ2 and TAS20 subscales for the whole study group, and the group divided by sex, genotype, age (≤ 25 years vs > 25 years) and BMI (<30kg/m² and ≥30kg/m²). Regression and mediation analyses were used to explore the relationships between BMI, eating behaviours, food cravings, motivation to exercise and alexithymia. The key findings from each of the experimental chapters in this thesis is 1) Increased cognitive restraint was associated with decreased food craving scores in the ≤ 25 years group; in this group the association between BMI and reduced food cravings was mediated by cognitive restraint indicating that in this age group individuals use cognitive restraint to control their food cravings. 2) Motivation to exercise interacts with eating behaviours and high motivation to exercise is associated with low BMI, people with obesity were less motivated than non-obese, emotional eating is the mediator between external regulations and high BMI. 3) There is a positive relationship between BMI and alexithymia in females, but in contrast there is an inverse relationship in men. The relationship between BMI and alexithymia was stronger in the AA+ AT genotype group than TT genotype. Uncontrolled eating and emotional eating mediate the effect of alexithymia on BMI and this is different between males and females and between genotype groups; particularly in females with the risk genotype, alexithymia were associated with high uncontrolled eating and emotional eating and so higher BMI. Males and/or people with the TT genotype are less at risk of this influence of alexithymia on BMI. These findings will help in the treatment of obesity by informing personal intervention programmes for each person according to his or her situation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.289
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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