Cognition in close relationships: development of the relationship success belief scale

This thesis details the construction of a scale to measure beliefs that people have about successful relationships - the Relationship Success Belief Scale. In Study 1, 100 respondents provided a pool of statements from which 18 basic factors for relationship success were derived. The scale was constructed, and pilot tested on 287 subjects. Study 2 conducted with 451 respondents established that the scale can be used across different relationship types and genders, and showed that the scale has adequate internal and test-retest reliability. The factor analysis revealed a meaningful five-factor structure. Study 3 examined the convergent and discriminant validity of the five sub-scales. As expected, relationship success beliefs were not related to social desirability or relationship satisfaction, but aspects of the scale were positively associated with a secure attachment style and certain attitudes about love. Evidence for the predictive validity of the scale was provided in Studies 4 and 5. In Study 4 a focus on the relationship, as opposed to the self or the partner, was associated with harmonious beliefs. Study 5 showed that specific relationship behaviours and relationship satisfaction are more closely linked in people who have strong beliefs in these areas, than in those who have weaker beliefs. Clinical implications of the scale are examined and suggestions for future research into the psychometric properties of the scale are outlined. In addition, a research programme exploring the linkage between relationship success beliefs and other elements of a contextual model of relationships is detailed

Behavioural susceptibility theory: the role of appetite in genetic susceptibility to obesity in early life

Excess weight gained during the early years and, in particular, rapid weight gain in the first 2 years of life, are a major risk factors for adult obesity. The growing consensus is that childhood obesity develops from a complex interaction between genetic susceptibility and exposure to an 'obesogenic' environment. Behavioural susceptibility theory (BST) was developed to explain the nature of this gene-environment interaction, and why the 'obesogenic' environment does not affect all children equally. It hypothesizes that inherited variation in appetite, which is present from birth, determines why some infants and children overeat, and others do not, in response to environmental opportunity. That is, those who inherit genetic variants promoting an avid appetite are vulnerable to overeating and developing obesity, while those who are genetically predisposed to have a smaller appetite and lower interest in food are protected from obesity-or even at risk of being underweight. We review the breadth of research to-date that has contributed to the evidence base for BST, focusing on early life, and discuss implications and future directions for research and theory. This article is part of a discussion meeting issue 'Causes of obesity: theories, conjectures and evidence (Part I)'

Is Diversity the Missing Link in Coastal Fisheries Management?

Fisheries management has historically focused on the population elasticity of target fish based primarily on demographic modeling, with the key assumptions of stability in environmental conditions and static trophic relationships. The predictive capacity of this fisheries framework is poor, especially in closed systems where the benthic diversity and boundary effects are important and the stock levels are low. Here, we present a probabilistic model that couples key fish populations with a complex suite of trophic, environmental, and geomorphological factors. Using 41 years of observations we model the changes in eastern Baltic cod (Gadus morhua), herring (Clupea harengus), and Baltic sprat (Sprattus sprattus balticus) for the Baltic Sea within a Bayesian network. The model predictions are spatially explicit and show the changes of the central Baltic Sea from cod-to sprat-dominated ecology over the 41 years. This also highlights how the years 2004 to 2014 deviate in terms of the typical cod–environment relationship, with environmental factors such as salinity being less influential on cod population abundance than in previous periods. The role of macrozoobenthos abundance, biotopic rugosity, and flatfish biomass showed an increased influence in predicting cod biomass in the last decade of the study. Fisheries management that is able to accommodate shifting ecological and environmental conditions relevant to biotopic information will be more effective and realistic. Non-stationary modelling for all of the homogeneous biotope regions, while acknowledging that each has a specific ecology relevant to understanding the fish population dynamics, is essential for fisheries science and sustainable management of fish stocks

The Role of Eating Behaviours in Genetic Susceptibility to Obesity

Purpose of Review Eating behaviours are hypothesised to be the behavioural expression of genetic risk of obesity. In this review, we summarise findings from behavioural genetic research on the association between genetic risk for obesity and validated psychometrics measures of eating behaviours in children and adults (published in the past 10 years). Recent Findings Twin studies have produced some evidence for a shared genetic aetiology underlying body mass index and eating behaviours. Studies using measured genetic susceptibility to obesity have suggested that increased genetic liability for obesity is associated with variation in obesogenic eating behaviours such as emotional and uncontrolled eating. Summary More research on this topic is needed. Especially longitudinal studies using genetically sensitive designs to investigate the direction of genetic pathways between genetic liability of eating behaviours to weight and vice versa, as well as the potential subsequent link to eating disorders

Socioeconomic status and changes in appetite from toddlerhood to early childhood

Understanding the mechanisms through which deprivation predisposes a child to increased obesity risk is key to tackling health inequality. Appetite avidity is a key driver of variation in early weight gain. Low socioeconomic status (SES) can be a marker of a more ‘obesogenic’ food environment which may encourage the behavioural expression of appetite avidity. The objective was to test the hypothesis that children of lower SES demonstrate increases in appetite avidity from toddlerhood to five years. Data were from the Gemini twin birth cohort, with one twin per family selected at random. Parents completed the Child Eating Behaviour Questionnaire (CEBQ) to assess appetitive traits at 16 months and five years. SES was defined using a weighted composite measure comprising seven key correlates. Linear regression models examined the cross-sectional and prospective associations between SES and appetite from 16 months to 5 years, controlling for appetite at 16 months, sex, birth weight and parental BMI. Cross-sectionally, lower SES was significantly associated with higher food responsiveness (β = −0.09 ± 0.024), higher enjoyment of food (β = −0.13 ± 0.024), lower satiety responsiveness (β = 0.09 ± 0.024), and lower food fussiness (β = 0.09, ±0.024) at 16 months. At age 5, lower SES was significantly associated with higher food responsiveness (β = −0.10 ± 0.032), higher desire to drink (β = −0.22 ± 0.031) and higher emotional overeating (β = −0.10 ± 0.032). Prospectively, lower SES predicted greater increases in two key weight-related appetitive traits, from 16 months to 5 years: emotional overeating (β = −0.10 ± 0.032; p < 0.01) and food responsiveness (β = −0.09, ±0.030; p < 0.01). The results indicate that appetite may be a behavioural mediator of the well-established link between childhood deprivation and obesity risk

Identifying an avid eating profile in childhood: Associations with temperament, feeding practices and food insecurity

This study aimed to identify distinct eating behaviour profiles in young children and examine how other key predictors of children's eating behaviour, including child temperament, the experience of food insecurity, or parental feeding practices, may vary by identified profiles. An online survey was conducted with 995 parents/carers living in England and Wales (N = 995, Mage = 35.4 years, 80% female, 88% White). Participants reported on their child's eating behaviour using the Child Eating Behaviour Questionnaire and completed measures of child temperament, household food security and parental feeding practices. Latent Profile Analysis (LPA) was carried out to identify distinct eating profiles amongst the children (36–72 months, Mage = 48.8 months, 52% female). Four eating profiles emerged from the sample of children: (a) avid eating, (b) avoidant eating, (c) happy eating, and (d) typical eating. Avid eating (21.9% of children) was characterised by higher levels of food responsiveness, enjoyment of food, and emotional over-eating in combination with lower satiety responsiveness, slowness in eating and food fussiness. Children with an avid eating profile were reported to be more surgent and experienced greater food insecurity than all other eating profiles. Parents of children belonging to the avid eating profile showed significantly greater use of food for emotional regulation, varied and balanced food provision, restriction of food for health, and restriction of food for weight feeding practices than the three other eating profiles

The association between childhood adiposity and appetite assessed using the Child Eating Behavior Questionnaire and Baby Eating Behavior Questionnaire: A systematic review and meta-analysis

This systematic review and meta-analysis aimed to quantify associations between Child Eating Behavior Questionnaire (CEBQ) and Baby Eating Behavior Questionnaire (BEBQ) appetitive traits (food approach: Food Responsiveness [FR], Enjoyment of Food [EF], Emotional Overeating [EOE], and Desire to Drink [DD]; food avoidant: Satiety Responsiveness [SR], Slowness in Eating [SE], Emotional Undereating [EUE], Food Fussiness [FF]) and measures of child adiposity. Searches of six databases up to February 2019 identified 72 studies (CEBQ, n = 67; BEBQ, n = 5), and 27 met the meta-analysis criteria. For cross-sectional studies reporting unadjusted correlations with body mass index z-scores (BMIz) (n = 19), all traits were associated with BMIz in expected directions (positive: FR, EF, EOE, and DD; negative: SR, SE, EUE, and FF). Pooled estimates ranged from r = 0.22 (FR) to r = −0.21 (SR). For cross-sectional studies reporting regression coefficients (n = 10), three traits (FR, EF, and EOE) associated positively, and three traits (SR, SE, and EUE) negatively, with BMIz (β = −0.31 [SR] to β = 0.22 [FR]). Eleven studies reported prospective relationships from appetite to adiposity measures for six scales (positive: FR, EF, EOE, and DD; negative: SR and SE). Five studies reported relationships from adiposity measures to appetite for five traits (positive: FR, EF, and EOE; negative: SR). All BEBQ traits were consistently cross-sectionally associated with adiposity measures. Overall, CEBQ/BEBQ-assessed appetitive traits show consistent cross-sectional relationships with measures of child adiposity

The relationship between the home environment and child adiposity: a systematic review

Background Extensive research has demonstrated the role of the Home Environment (HE) in shaping children’s energy balance behaviours. Less is known about direct relationships with bodyweight. This review examines associations between the social and physical aspects of three pre-defined Home Environment domains (food, physical activity and media) and adiposity measures in children ≤12 years. Methods Six electronic databases (PubMed, Medline, EBSCO CINAHL, EMBASE, Web of Science, PsycInfo) were systematically searched up to October 2020. Studies reporting at least one physical and/or social aspect of the food, physical activity and/or media domains of the Home Environment in relation to child adiposity outcomes were included (n = 62). Results Most studies examined one (n = 41) or two domains (n = 16). Only five studies assessed all three domains of the Home Environment. Most consistent relationships were observed for physical aspects of the home media environment; with greater availability of electronic devices associated with higher child adiposity (21/29 studies). Findings were less consistent for the smaller number of studies examining physical aspects of the home food or physical activity environments. 8/15 studies examining physical food environments reported null associations with adiposity. Findings were similarly mixed for physical activity environments; with 4/7 reporting null associations, 2/7 reporting negative associations and 1/7 reporting positive associations between access to physical activity equipment/garden space and adiposity. Fewer studies assessed social aspects (e.g. caregiver modelling or limit setting) of the Home Environment in relation to child adiposity and findings were again mixed; 9/16 media environment, 7/11 food environment and 9/13 physical activity environment studies reported null associations with child adiposity outcomes. Conclusions The home media environment was most consistently associated with adiposity in childhood. Findings were less consistent for the home food and physical activity environments. Greater agreement on definitions and the measurement of the obesogenic home environment is required in order to clarify the strength and direction of relationships with child adiposity. Robust longitudinal research using comprehensive measures of the holistic home environment is needed to better identify which aspects contribute to excess weight gain in childhood. Trial registration PROSPERO Systematic review registration number: CRD42018115139

Behavioural susceptibility theory: the role of appetite in genetic susceptibility to obesity in early life

Excess weight gained during the early years and, in particular, rapid weight gain in the first 2 years of life, are a major risk factors for adult obesity. The growing consensus is that childhood obesity develops from a complex interaction between genetic susceptibility and exposure to an ‘obesogenic’ environment. Behavioural susceptibility theory (BST) was developed to explain the nature of this gene–environment interaction, and why the ‘obesogenic’ environment does not affect all children equally. It hypothesizes that inherited variation in appetite, which is present from birth, determines why some infants and children overeat, and others do not, in response to environmental opportunity. That is, those who inherit genetic variants promoting an avid appetite are vulnerable to overeating and developing obesity, while those who are genetically predisposed to have a smaller appetite and lower interest in food are protected from obesity—or even at risk of being underweight. We review the breadth of research to-date that has contributed to the evidence base for BST, focusing on early life, and discuss implications and future directions for research and theory

Restricted dispersal in a sea of gene flow

Howfar domarine larvae disperse in the ocean? Decades of population genetic studies have revealed generally low levels of genetic structure at large spatial scales (hundreds of kilometres). Yet this result, typically based on discrete sampling designs, does not necessarily imply extensive dispersal. Here, we adopt a continuous sampling strategy along 950 km of coast in the northwestern Mediterranean Sea to address this question in four species. In line with expectations, we observe weak genetic structure at a large spatial scale. Nevertheless, our continuous sampling strategy uncovers a pattern of isolation by distance at small spatial scales (few tens of kilometres) in two species. Individual- based simulations indicate that this signal is an expected signature of restricted dispersal. At the other extreme of the connectivity spectrum, two pairs of individuals that are closely related genetically were found more than 290 km apart, indicating long-distance dispersal. Such a combination of restricted dispersal with rare long-distance dispersal events is supported by a high-resolution biophysical model of larval dispersal in the study area, and we posit that it may be common in marine species. Our results bridge population genetic studies with direct dispersal studies and have implications for the design of marine reserve networksVersión del edito