35 research outputs found

    How, when and why do young women use nutrition information on food labels? A qualitative analysis

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    Background. Nutrition information on food packaging offers a public health tool which could be used to promote informed consumer choice and aid consumption of a healthy diet. Research indicates that use of nutrition information can lead to reduced energy intake and lower BMI, but little evidence is available regarding how, when or why people use nutrition information when making everyday food choices. Methods. This qualitative study explored motivations and contexts surrounding the use of nutrition information among 25 UK-based female nutrition information users aged 23-35 years, using semi-structured individual interviews. Verbatim transcripts were analysed using thematic analysis. Results. Six themes were identified: (1) understanding and (2) functions of nutrition information, (3) health versus appearance motives, nutrition information use in (4) affective and (5) symbolic food episodes, and (6) competing point-of-purchase influences. Notable observations included a difficulty in understanding and converting nutrition information into personally meaningful terms, and eschewal of nutrition information in settings where food plays an affective or symbolic role (e.g. food consumption after a stressful day, buying food for a dinner party). Conclusions. We suggest evidence-based directions for future research and offer policy and practice recommendations, including the adoption of clear and consistent nutrition information formats

    Do physical activity interventions combining self-monitoring with other components provide an additional benefit compared with self-monitoring alone? A systematic review and meta-analysis

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    Objective To determine the net effect of different physical activity intervention components on step counts in addition to self-monitoring. Design A systematic review with meta-analysis and meta-regression. Data sources Five databases (PubMed, Scopus, Web of Science, ProQuest and Discus) were searched from inception to May 2022. The database search was complemented with backward and forward citation searches and search of the references from relevant systematic reviews. Eligibility criteria Randomised controlled trials comparing an intervention using self-monitoring (active control arm) with an intervention comprising the same treatment PLUS any additional component (intervention arm). Data extraction and synthesis The effect measures were mean differences in daily step count. Meta-analyses were performed using random-effects models, and effect moderators were explored using univariate and multivariate meta-regression models. Results Eighty-five studies with 12 057 participants were identified, with 75 studies included in the meta-analysis at postintervention and 24 at follow-up. At postintervention, the mean difference between the intervention and active control arms was 926 steps/day (95% CI 651 to 1201). At a follow-up, the mean difference was 413 steps/day (95% CI 210 to 615). Interventions with a prescribed goal and involving human counselling, particularly via phone/video calls, were associated with a greater mean difference in the daily step count than interventions with added print materials, websites, smartphone apps or incentives. Conclusion Physical activity interventions that combine self-monitoring with other components provide an additional modest yet sustained increase in step count compared with self-monitoring alone. Some forms of counselling, particularly remote phone/video counselling, outperformed other intervention components, such as websites and smartphone apps

    Minimal reporting improvement after peer review in reports of covid-19 prediction models: systematic review.

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    OBJECTIVE: To assess improvement in the completeness of reporting COVID-19 prediction models after the peer review process. STUDY DESIGN AND SETTING: Studies included in a living systematic review of COVID-19 prediction models, with both pre-print and peer-reviewed published versions available, were assessed. The primary outcome was the change in percentage adherence to the TRIPOD reporting guidelines between pre-print and published manuscripts. RESULTS: 19 studies were identified including seven (37%) model development studies, two external validations of existing models (11%), and 10 (53%) papers reporting on both development and external validation of the same model. Median percentage adherence amongst pre-print versions was 33% (min-max: 10 to 68%). The percentage adherence of TRIPOD components increased from pre-print to publication in 11/19 studies (58%), with adherence unchanged in the remaining eight studies. The median change in adherence was just 3 percentage points (pp, min-max: 0-14pp) across all studies. No association was observed between the change in percentage adherence and pre-print score, journal impact factor, or time between journal submission and acceptance. CONCLUSIONS: Pre-print reporting quality of COVID-19 prediction modelling studies is poor and did not improve much after peer review, suggesting peer review had a trivial effect on the completeness of reporting during the pandemic
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