Associations between confidence, persistence, and optimism : illuminating optimistic problem solving activity

As part of video-stimulated post-lesson student interview studies of problem solving activity, Williams (2005, 2011) found successful problem solvers were optimistic. This study interrogates data from three students from a broader study: the role of optimism in collaborative problem solving and how to build it. The research question that focuses this study is “What associations exist between confidence, persistence, and optimism?” The question is explored both theoretically and empirically for the purpose of increasing understanding of the nature of optimistic problem solving activity by linking it to more familiar constructs. Students were progressively selected to further the interrogatory process. It was found that confidence and persistence did not necessarily occur together, and when they did, activity associated with these two characteristics was not sufficient for optimistic problem solving activity to occur. Perseverance was also required.

Associations between usual school lunch attendance and eating habits and sedentary behaviour in French children and adolescents

Background/Objective: Our objective was to investigate whether school lunch attendance was associated with overall eating habits and sedentary behaviour in a French sample of children and adolescents.

Subjects/Methods: Data for the study were taken from the second French cross-sectional dietary survey (INCA2-2006-07). In total, 1413 school children aged 3–17 years old were classified according to their school type and their usual school lunch attendance. Eating habits included meal regularity, dietary diversity, purchase in vending machine, snacking habits and frequency of eating in fast-foods. Two composite indices of eating habits were derived from multiple correspondence analyses. Sedentary behaviour was assessed by the average daily screen times for TV and computer. The association between school lunch attendance and each variable was tested. Multivariate association between school lunch attendance and the composite indices of eating habits and sedentary behaviours was studied.

Results: In all, 69.0% (CI95%: 64.2–73.9) of secondary school children and 63.0% (CI95%: 58.5–67.5) of pre- and elementary school children usually attended school lunch at least once a week. Pre- and elementary school children attending school lunches showed a higher dietary diversity score (P=0.02) and ate morning snacks more frequently (P=0.02). In secondary school children, attending school canteen was related to a lower rate of skipping breakfast (P=0.04) and main meals (P=0.01). In all school children, school lunch attendance was simultaneously associated with healthier overall eating habits and less sedentary behaviour.

Conclusion: In France, children attending school canteens seem to have healthier eating habits and display less sedentary behaviour, independently of their socio-economic and demographic background.

Associations between neighbourhood and household environmental variables and fruit consumption : exploration of mediation by individual cognitions and habit strength in the GLOBE study

Objective The present study examined associations of several home and neighbourhood environmental variables with fruit consumption and explored whether these associations were mediated by variables derived from the Theory of Planned Behaviour (TPB) and by habit strength.

Design Data of the Dutch GLOBE study on household and neighbourhood environment, fruit intake and related factors were used, obtained by self-administered questionnaires (cross-sectional), face-to-face interviews and audits.

Setting The city of Eindhoven in the Netherlands

Subjects Adults (n 333; mean age 58 years, 54 % female).

Results Multiple mediation analyses were conducted using regression analyses to assess the association between environmental variables and fruit consumption, as well as mediation of these associations by TPB variables and by habit strength. Intention, perceived behaviour control, subjective norm and habit strength were associated with fruit intake. None of the neighbourhood environmental variables was directly or indirectly associated with fruit intake. The home environmental variable ‘modelling behaviour by family members’ was indirectly, but not directly, associated with fruit intake. Habit strength and perceived behaviour control explained most of the mediated effect (71·9 %).

Conclusions Modelling behaviour by family members was indirectly associated with fruit intake through habit strength and perceived behaviour control. None of the neighbourhood variables was directly or indirectly, through any of the proposed mediators, associated with adult fruit intake. These findings suggest that future interventions promoting fruit intake should address a combination of the home environment (especially modelling behaviour by family members), TPB variables and habit strength for fruit intake.

Associations between measures of adiposity over 10 years and patella cartilage in population-based asymptomatic women

Objective: Osteoarthritis (OA) most commonly affects the patellofemoral compartment of the knee, and is a major cause of pain and disability. Structural changes that evolve prior to the onset of symptoms can be visualised using magnetic resonance imaging (MRI). There is little known information about the role of adiposity on the early structural changes in the patella cartilage in younger, asymptomatic adult females.

Methods: One hundred and sixty asymptomatic women (20–49 years) participating in the Geelong Osteoporosis Study underwent knee MRI (2006–8). Weight and body mass index (BMI) were measured 10 years prior (1994–7, baseline) and at the time of MRI (current), with change over the period calculated (current–baseline). Relationships between measures of adiposity and patella cartilage volume and defects were examined.

Results: After adjustment for age and patella bone volume, there was a reduction of 13 ml (95% confidence interval (95% CI), −25.7, −0.55) in patella cartilage volume for every 1 unit increase in current BMI, and a reduction of 27 ml (95% CI −52.6, −1.5) per BMI unit increase over 10 years (P=0.04 for both). No significant association was observed between baseline BMI and patella cartilage volume (P=0.16). Increased baseline and current weight and BMI were associated with increased prevalence of patella cartilage defects (all P<0.001).

Conclusions: Adiposity and weight gain during midlife are associated with detrimental structural change at the patella in young to middle-aged healthy non-osteoarthritic women. Maintaining a healthy weight and avoiding weight gain in younger asymptomatic women may be important in the prevention of patellofemoral OA.

Dynamically predicting protein functions from semantic associations of proteins

Predicting functions of un-annotated proteins is a significant challenge in the post-genomics era. Among existing computational approaches, exploiting interactions between proteins to predict functions of un-annotated proteins is widely used. However, it remains difficult to extract semantic associations between proteins (i.e. protein associations in terms of protein functionality) from protein interactions and incorporate extracted semantic associations to more effectively predict protein functions. Furthermore, existing approaches and algorithms regard the function prediction as a one-off procedure, ignoring dynamic and mutual associations between proteins. Therefore, deriving and exploiting semantic associations between proteins to dynamically predict functions are a promising and challenging approach for achieving better prediction results. In this paper, we propose an innovative algorithm to incorporate semantic associations between proteins into a dynamic procedure of protein function prediction. The semantic association between two proteins is measured by the semantic similarity of two proteins which is defined by the similarities of functions two proteins possess. To achieve better prediction results, function similarities are also incorporated into the prediction procedure. The algorithm dynamically predicts functions by iteratively selecting functions for the un-annotated protein and updating the similarities between the un-annotated protein and its neighbour annotated proteins until such suitable functions are selected that the similarities no longer change. The experimental results on real protein interaction datasets demonstrated that our method outperformed the similar and non-dynamic function prediction methods. Incorporating semantic associations between proteins into a dynamic procedure of function prediction reflects intrinsic relationships among proteins as well as dynamic features of protein interactions, and therefore, can significantly improve prediction results.