The international journal of behavioral nutrition and physical activity最新文献

{"title":"A collaborative approach to adopting/adapting guidelines. The Australian 24-hour movement guidelines for children (5-12 years) and young people (13-17 years): An integration of physical activity, sedentary behaviour, and sleep.","authors":"Anthony D Okely,&nbsp;Davina Ghersi,&nbsp;Sarah P Loughran,&nbsp;Dylan P Cliff,&nbsp;Trevor Shilton,&nbsp;Rachel A Jones,&nbsp;Rebecca M Stanley,&nbsp;Julie Sherring,&nbsp;Natalie Toms,&nbsp;Simon Eckermann,&nbsp;Timothy S Olds,&nbsp;Zhiguang Zhang,&nbsp;Anne-Maree Parrish,&nbsp;Lisa Kervin,&nbsp;Sandra Downie,&nbsp;Jo Salmon,&nbsp;Clair Bannerman,&nbsp;Tamie Needham,&nbsp;Elaine Marshall,&nbsp;Jordy Kaufman,&nbsp;Layne Brown,&nbsp;Janecke Wille,&nbsp;Greg Wood,&nbsp;David R Lubans,&nbsp;Stuart J H Biddle,&nbsp;Shane Pill,&nbsp;Anthea Hargreaves,&nbsp;Natalie Jonas,&nbsp;Natasha Schranz,&nbsp;Perry Campbell,&nbsp;Karen Ingram,&nbsp;Hayley Dean,&nbsp;Adam Verrender,&nbsp;Yvonne Ellis,&nbsp;Kar Hau Chong,&nbsp;Dorothea Dumuid,&nbsp;Peter T Katzmarzyk,&nbsp;Catherine E Draper,&nbsp;Hayley Lewthwaite,&nbsp;Mark S Tremblay","doi":"10.1186/s12966-021-01236-2","DOIUrl":"https://doi.org/10.1186/s12966-021-01236-2","url":null,"abstract":"<p><strong>Background: </strong>In 2018, the Australian Government updated the Australian Physical Activity and Sedentary Behaviour Guidelines for Children and Young People. A requirement of this update was the incorporation of a 24-hour approach to movement, recognising the importance of adequate sleep. The purpose of this paper was to describe how the updated Australian 24-Hour Movement Guidelines for Children and Young People (5 to 17 years): an integration of physical activity, sedentary behaviour and sleep were developed and the outcomes from this process.</p><p><strong>Methods: </strong>The GRADE-ADOLOPMENT approach was used to develop the guidelines. A Leadership Group was formed, who identified existing credible guidelines. The Canadian 24-Hour Movement Guidelines for Children and Youth best met the criteria established by the Leadership Group. These guidelines were evaluated based on the evidence in the GRADE tables, summaries of findings tables and recommendations from the Canadian Guidelines. We conducted updates to each of the Canadian systematic reviews. A Guideline Development Group reviewed, separately and in combination, the evidence for each behaviour. A choice was then made to adopt or adapt the Canadian recommendations for each behaviour or create de novo recommendations. We then conducted an online survey (n=237) along with three focus groups (n=11 in total) and 13 key informant interviews. Stakeholders used these to provide feedback on the draft guidelines.</p><p><strong>Results: </strong>Based on the evidence from the Canadian systematic reviews and the updated systematic reviews in Australia, the Guideline Development Group agreed to adopt the Canadian recommendations and, apart from some minor changes to the wording of good practice statements, maintain the wording of the guidelines, preamble, and title of the Canadian Guidelines. The Australian Guidelines provide evidence-informed recommendations for a healthy day (24-hours), integrating physical activity, sedentary behaviour (including limits to screen time), and sleep for children (5-12 years) and young people (13-17 years).</p><p><strong>Conclusions: </strong>To our knowledge, this is only the second time the GRADE-ADOLOPMENT approach has been used to develop movement behaviour guidelines. The judgments of the Australian Guideline Development Group did not differ sufficiently to change the directions and strength of the recommendations and as such, the Canadian Guidelines were adopted with only very minor alterations. This allowed the Australian Guidelines to be developed in a shorter time frame and at a lower cost. We recommend the GRADE-ADOLOPMENT approach, especially if a credible set of guidelines that was developed using the GRADE approach is available with all supporting materials. Other countries may consider this approach when developing and/or revising national movement guidelines.</p>","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"2"},"PeriodicalIF":8.7,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734238/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39790871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contributions of changes in physical activity, sedentary time, diet and body weight to changes in cardiometabolic risk.","authors":"Eivind Andersen, Hidde P van der Ploeg, Willem van Mechelen, Cindy M Gray, Nanette Mutrie, Femke van Nassau, Judith G M Jelsma, Annie S Anderson, Marlene N Silva, Hugo V Pereira, Alex McConnachie, Naveed Sattar, Marit Sørensen, Øystein B Røynesdal, Kate Hunt, Glyn C Roberts, Sally Wyke, Jason M R Gill","doi":"10.1186/s12966-021-01237-1","DOIUrl":"10.1186/s12966-021-01237-1","url":null,"abstract":"<p><strong>Background: </strong>Increased physical activity (PA), reduced time spent sedentary (SED), healthier diet and reduced body weight may all have a positive impact on cardiometabolic risk. The relative importance of change in each of these variables on cardiometabolic risk, however, is unclear. We therefore sought to investigate the relative contributions of changes in PA, SED, diet and body weight on cardiometabolic risk.</p><p><strong>Methods: </strong>This is a secondary analysis of data collected from the EuroFIT randomised controlled trial, which was a 12-week group-based lifestyle intervention for overweight middle-aged men delivered by coaches in football club stadia aiming to improve PA, SED, diet, and body weight. PA and SED were assessed by accelerometry, diet using the Dietary Instrument for Nutrition Education (DINE). An overall cardiometabolic risk score was derived from combining z-scores for glucose, HbA1c, insulin, lipids and blood pressure. In total, 707 men (from the overall cohort of 1113) with complete data for these variables at baseline and 12-month follow-up were included in the multivariable linear regression analyses.</p><p><strong>Results: </strong>In multivariable analyses, change in number of steps (explaining 5.1% of R²) and dietary factors (less alcohol, fatty and sugary food, and more fruit and vegetables) (together explaining 4.5% of R²), but not changes in standing time or SED, were significantly associated with change in body weight. Changes in number of steps (R² = 1.7%), fatty food score (R² = 2.4%), and sugary food score (R² = 0.4%) were significantly associated with change in cardiometabolic risk score in univariable models. However, in multivariable models which included changes in weight as well as changes in steps and dietary variables, change in weight explained a substantially larger proportion of the change in cardiometabolic risk score, explaining 14.1% of R² (out of an overall model R² of 19.0%). When baseline (as well as change) values were also included in the model, 38.8% of R² for change in cardiometabolic risk score was explained overall, with 14.1% of R² still explained by change in weight.</p><p><strong>Conclusion: </strong>Change in body weight, together with baseline cardiometabolic risk explained most of the change in cardiometabolic risk. Thus, the benefits of increasing physical activity and improving diet on cardiometabolic risk appear to act largely via an effect on changes in body weight.</p><p><strong>Trial registration: </strong>International Standard Randomised Controlled Trials, ISRCTN-81935608. Registered 06052015. https://www.isrctn.com/ISRCTN81935608?q=&filters=recruitmentCountry:Portugal&sort=&offset=7&totalResults=92&page=1&pageSize=10&searchType=basic-search.</p>","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"166"},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686269/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39619904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of grazing on daily caloric intake and dietary quality.","authors":"Eliana Zeballos,&nbsp;Carolyn Chelius","doi":"10.1186/s12966-021-01226-4","DOIUrl":"https://doi.org/10.1186/s12966-021-01226-4","url":null,"abstract":"<p><strong>Background: </strong>The duration and frequency of eating occasions has been identified as a factor contributing to poor dietary quality among U.S. adults. The objective of this study is to examine whether grazing, defined as eating more than three times a day, affects total daily caloric intake and dietary quality measured by the 2015 Healthy Eating Index (HEI-2015).</p><p><strong>Methods: </strong>We used a multivariate individual fixed-effects model to compare the caloric intake and dietary quality of individuals who grazed on 1 day but not another. This allowed us to control for differences in individual food intake and diet quality preferences among study participants. We use the National Health and Nutrition Examination Survey (NHANES), 2007-2018, and include data for adults aged 18 years or older who reported 2 days of dietary intake and were not pregnant or lactating (n = 27,775).</p><p><strong>Results: </strong>Grazing increased total daily caloric intake by 205 cal and increased the daily HEI score by 0.59 points. Grazing increased HEI component scores for total fruit, whole fruit, and refined grains, and decreased HEI component scores for saturated fats. Morning grazing increased total daily caloric intake by 159 cal and increased the daily HEI score by 0.87 points - primarily by increasing component scores for total fruit, whole fruit, whole grains, total dairy, seafood and plant proteins, and sodium. Evening grazing increased daily caloric intake by 76 cal and decreased the daily HEI score by 0.41 points - primarily by decreasing the component scores for total fruit, whole grains, fatty acids, and saturated fats. Evening grazing increased HEI component scores for sodium and refined grains.</p><p><strong>Conclusions: </strong>Grazing increases daily caloric intake and can decrease dietary quality (particularly when grazing in the evening).</p>","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"163"},"PeriodicalIF":8.7,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684066/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39613928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the associations of depressive symptoms with healthy eating self-efficacy over time amongst women in the READI cohort study.","authors":"Rachelle Opie,&nbsp;Gavin Abbott,&nbsp;David Crawford,&nbsp;Kylie Ball","doi":"10.1186/s12966-021-01233-5","DOIUrl":"https://doi.org/10.1186/s12966-021-01233-5","url":null,"abstract":"<p><strong>Background: </strong>There is growing evidence that diet is associated with both depressive symptoms and clinical depression, likely through biological mechanisms. However, it is also plausible that depression impacts diet, for example by impairing the personal drivers of healthy eating behaviors such as self-efficacy. This study is one of the first to explore the association of depressive symptoms with healthy eating self-efficacy over time.</p><p><strong>Methods: </strong>Data was drawn from the Resilience for Eating and Activity Despite Inequality (READI) longitudinal study, a prospective cohort study of socioeconomically disadvantaged Australian women. This analysis includes a sub-sample of 1264 women. Linear mixed models, with random intercepts for suburb of residence, were performed to explore the relationships between total healthy eating self-efficacy at 5-years follow-up and depressive symptoms over time, whilst adjusting for potential confounders. To assess different trajectories of depressive symptoms over time, four categories were created; 1. no depressive symptoms (n = 667), 2. resolved depressive symptoms (n = 165), 3. new depressive symptoms (n = 189), and 4. persistent depressive symptoms (n = 243).</p><p><strong>Results: </strong>There was very strong evidence of a difference in total healthy eating self-efficacy at follow-up between the four depressive symptoms trajectory categories (F(3,235) = 7.06,p < .0001), after adjusting for potential confounders. Pairwise comparisons indicated strong evidence of higher healthy eating self-efficacy among individuals with no depressive symptoms compared to individuals with persistent depressive symptoms (B = 1.97[95%CI: 0.60,3.33],p = .005). Similarly, there was evidence of higher healthy eating self-efficacy in individuals with resolved depressive symptoms than those with persistent depressive symptoms (B = 1.95[95%CI: 0.18,3.72],p = .031).</p><p><strong>Conclusions: </strong>This study provides new insights demonstrating differences in total healthy eating self-efficacy at 5-year follow-up according to trajectory of depressive symptoms over time. Future interventions should focus on strategies that enhance self-efficacy among individuals with or at risk of depressive symptoms for supporting healthier dietary practices, which in turn, may contribute to reducing the highly burdensome mental health condition.</p>","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"161"},"PeriodicalIF":8.7,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684166/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39849527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Healthy lifestyle behaviours and all-cause and cardiovascular mortality among 0.9 million Chinese adults.","authors":"Xingyi Zhang,&nbsp;Jiapeng Lu,&nbsp;Chaoqun Wu,&nbsp;Jianlan Cui,&nbsp;Yue Wu,&nbsp;Anyi Hu,&nbsp;Jing Li,&nbsp;Xi Li","doi":"10.1186/s12966-021-01234-4","DOIUrl":"https://doi.org/10.1186/s12966-021-01234-4","url":null,"abstract":"<p><strong>Background: </strong>Healthy lifestyle behaviours are effective means to reduce the burden of diseases. This study was aimed to fill the knowledge gaps on the distribution, associated factors, and potential health benefits on mortality of four healthy lifestyle behaviours in China.</p><p><strong>Methods: </strong>During 2015-2019, participants aged 35-75 years from 31 provinces were recruited by the China PEACE Million Persons Project. Four healthy lifestyle behaviours were investigated in our study, including non-smoking, none or moderate alcohol use, sufficient leisure time physical activity (LTPA), and healthy diet.</p><p><strong>Results: </strong>Among 903,499 participants, 74.1% were non-smokers, 96.0% had none or moderate alcohol use, 23.6% had sufficient LTPA, 11.1% had healthy diet, and only 2.8% had all the four healthy lifestyle behaviours. The adherence varied across seven regions; the highest median of county-level adherence to all the four healthy lifestyle behaviours was in North China (3.3%) while the lowest in the Southwest (0.8%) (p < 0.05). Participants who were female, elder, non-farmers, urban residents, with higher income or education, hypertensive or diabetic, or with a cardiovascular disease (CVD) history were more likely to adhere to all the four healthy lifestyle behaviours (p < 0.001). County-level per capital Gross Domestic Product (GDP) was positively associated with sufficient LTPA (p < 0.05 for both rural and urban areas) and healthy diet (p < 0.01 for urban areas), while negatively associated with none or moderate alcohol use (p < 0.01 for rural areas). Average annual temperature was negatively associated with none or moderate alcohol use (p < 0.05 for rural areas) and healthy diet (p < 0.001 for rural areas). Those adhering to all the four healthy lifestyle behaviours had lower risks of all-cause mortality (HR 0.64 [95% CI: 0.52, 0.79]) and cardiovascular mortality (HR 0.53 [0.37, 0.76]) after a median follow-up of 2.4 years.</p><p><strong>Conclusions: </strong>Adherence to healthy lifestyle behaviours in China was far from ideal. Targeted health promotion strategies were urgently needed.</p>","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"162"},"PeriodicalIF":8.7,"publicationDate":"2021-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684211/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39849535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contrasting compositions of sitting, standing, stepping, and sleeping time: associations with glycaemic outcome by diabetes risk.","authors":"Christian J Brakenridge, Genevieve N Healy, Parneet Sethi, Alison Carver, John Bellettiere, Agus Salim, Sebastien F M Chastin, Neville Owen, David W Dunstan","doi":"10.1186/s12966-021-01209-5","DOIUrl":"10.1186/s12966-021-01209-5","url":null,"abstract":"<p><strong>Background: </strong>Recent evidence suggests that prolonged sitting and its adverse impact on glycaemic indicators appear to be proportional to the degree of insulin resistance. To investigate this finding in a free-living context, we aimed to examine associations of device-measured 24-h time-use compositions of sitting, standing, stepping, and sleeping with fasting glucose (FPG) and 2 h post-load glucose (2hPLG) levels, and to examine separately the associations with time-use compositions among those at lower and at higher risk of developing type 2 diabetes.</p><p><strong>Methods: </strong>Cross-sectional analyses examined thigh-worn inclinometer data (activPAL, 7 day, 24 h/day protocol) from 648 participants (aged 36-80 years) at either lower (< 39 mmol/mol; < 5.7% HbA1c) or higher (≥39 mmol/mol; ≥5.7% HbA1c) diabetes risk from the 2011-2012 Australian Diabetes, Obesity and Lifestyle study. Multiple linear regression models were used to examine associations of differing compositions with FPG and 2hPLG, with time spent in each behaviour allowed to vary up to 60 min.</p><p><strong>Results: </strong>In general, the associations with the FPG within the time-use compositions were small, with statistically significant associations observed for sitting and sleeping (in the lower diabetes risk group) and standing (in higher diabetes risk group) only. For 2hPLG, statistically significant associations were observed for stepping only, with findings similar between lower (β = - 0.12 95%CI:-0.22, - 0.02) and higher (β = - 0.13 95%CI:-0.26, - 0.01) risk groups. Varying the composition had minimal impact on FPG; however 1 h less sitting time and equivalent increase in standing time was associated with attenuated FPG levels in higher risk only (Δ FPG% = - 1.5 95%CI: - 2.4, - 0.5). Large differences in 2hPLG were observed for both groups when varying the composition. One hour less sitting with equivalent increase in stepping was associated with attenuated 2hPLG, with estimations similar in lower (Δ 2hPLG% = - 3.8 95%CI: - 7.3, - 0.2) and higher (Δ 2hPLG% = - 5.0 95%CI: - 9.7, - 0.0) risk for diabetes.</p><p><strong>Conclusions: </strong>In middle-aged and older adults, glycaemic control could be improved by reducing daily sitting time and replacing it with stepping. Standing could also be beneficial for those at higher risk of developing type 2 diabetes.</p>","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"155"},"PeriodicalIF":5.5,"publicationDate":"2021-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642848/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39691167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The use of food swaps to encourage healthier online food choices: a randomized controlled trial.","authors":"Laura Jansen,&nbsp;Ellen van Kleef,&nbsp;Ellen J Van Loo","doi":"10.1186/s12966-021-01222-8","DOIUrl":"https://doi.org/10.1186/s12966-021-01222-8","url":null,"abstract":"<p><strong>Background: </strong>Online grocery stores offer opportunities to encourage healthier food choices at the moment that consumers place a product of their choice in their basket. This study assessed the effect of a swap offer, Nutri-Score labeling, and a descriptive norm message on the nutrient profiling (NP) score of food choices in an online food basket. Additionally explored was whether these interventions made it more motivating and easier for consumers to select healthier foods and whether potential effects were moderated by consumer health interest.</p><p><strong>Methods: </strong>Hypotheses were tested with a randomized controlled trial (RCT) in a simulated online supermarket. Dutch participants (n = 550) chose their preferred product out of six product options for four different categories (breakfast cereals, crackers, pizza, and muesli bars). Participants were randomly allocated to one of eight groups based on the interventions in a 2 (Nutri-Score: present, not present) X 2 (swap offer: present, not present) X 2 (norm message: present, not present) between subject design. The primary outcome was the difference in combined NP score of product choices, for which a lower score represented a healthier product.</p><p><strong>Results: </strong>Swap offer (B = - 9.58, 95% CI: [- 12.026; - 7.132], Ƞ² = 0.098) and Nutri-Score labeling (B = - 3.28, 95% CI: [- 5.724; -.829], Ƞ² = 0.013) significantly improved the combined NP score compared to the control condition (NP score M = 18.03, SD = 14.02), whereas a norm message did not have a significant effect (B = - 1.378, 95% CI [- 3.825; 1.070], Ƞ² = 0.002). No evidence was found that interventions made it more motivating or easier for consumers to select healthier food, but situational motivation significantly influenced the healthiness score of food choices for both swap offer (b = - 3.40, p < .001) and Nutri-Score (b = - 3.25, p < .001). Consumer health interest only significantly moderated the influence of Nutri-Score on ease of identifying the healthy food option (b = .23, p = .04).</p><p><strong>Conclusions: </strong>Swap offer and Nutri-Score labeling were effective in enhancing healthy purchase behavior in the online store environment.</p><p><strong>Trial registration: </strong>This study was retrospectively registered in the ISRCTN database on 02-09-2021 ( ISRCTN80519674 ).</p>","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"156"},"PeriodicalIF":8.7,"publicationDate":"2021-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642761/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39779688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to: Evaluating the reach, effectiveness, adoption, implementation and maintenance of the Resistance Training for Teens program.","authors":"Sarah G Kennedy,&nbsp;Jordan J Smith,&nbsp;Paul A Estabrooks,&nbsp;Nicole Nathan,&nbsp;Michael Noetel,&nbsp;Philip J Morgan,&nbsp;Jo Salmon,&nbsp;Gessika C Dos Santos,&nbsp;David R Lubans","doi":"10.1186/s12966-021-01229-1","DOIUrl":"https://doi.org/10.1186/s12966-021-01229-1","url":null,"abstract":"","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"154"},"PeriodicalIF":8.7,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630832/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39791733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mediterranean diet and depression: a population-based cohort study.","authors":"Weiyao Yin,&nbsp;Marie Löf,&nbsp;Ruoqing Chen,&nbsp;Christina M Hultman,&nbsp;Fang Fang,&nbsp;Sven Sandin","doi":"10.1186/s12966-021-01227-3","DOIUrl":"https://doi.org/10.1186/s12966-021-01227-3","url":null,"abstract":"<p><strong>Background: </strong>Depression imposes immense public health burden, demonstrating an urgent need of the identification of modifiable risk factors. Only a few cohort studies have analyzed the association between Mediterranean dietary pattern (MDP) and depression but with mixed results. We examined the impact of MDP on clinically ascertained depression in a large population-based dataset.</p><p><strong>Methods: </strong>In 1991/92, detailed information on diet, using a food frequency questionnaire, and potential confounding factors (body weight, height, educational attainment, smoking, previous diabetes and hypertension, and physical activity) was collected, in a random sample of 49,261 Swedish women aged 29-49. Adherence to MDP was calculated. Clinical depression was extracted from the National Patient Register. Study participants were followed up through 2012.</p><p><strong>Results: </strong>During an average follow-up of 20.4 years, 1677 incident cases of depression were diagnosed. We observed a lower risk of depression for medium (score 4-5) and high (6-9) adherence to MDP, compared with low (0-3) adherence (Medium: hazard ratio (HR) = 0.90, 95% confidence interval (CI) = 0.81-1.00; High: HR = 0.82, 95%CI = 0.71-0.94). Per unit increase of adherence, the risk of depression was reduced by 5% (HR = 0.95, 95%CI = 0.92-0.98). The association became stronger when restricting to severe form of depression (HR = 0.51, 95%CI = 0.33-0.76). The HRs were higher from age 50 onward both over the first and the second 10-year follow-up period, compared with before age 50, indicating stronger association with increasing age. Results remained after extensive sensitivity analyses.</p><p><strong>Conclusion: </strong>Higher adherence to a Mediterranean diet at middle age was associated with a lower risk of depression later in life among Swedish women.</p>","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"153"},"PeriodicalIF":8.7,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627099/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39760785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of shelf tags with Nutri-Score on consumer purchases: a difference-in-difference analysis of a natural experiment in supermarkets of a major retailer in Belgium.","authors":"Stefanie Vandevijvere,&nbsp;Nicolas Berger","doi":"10.1186/s12966-021-01207-7","DOIUrl":"https://doi.org/10.1186/s12966-021-01207-7","url":null,"abstract":"<p><strong>Background: </strong>Delhaize, a major Belgian retailer, started implementing electronic shelf labels (ESL) with Nutri-Score since May 2019. Nutri-Score rates the healthfulness of packaged foods with five colours/letters from red/E (least healthy) to green/A (most healthy). This study evaluated the impact of ESL on consumer purchases, overall, and by food category.</p><p><strong>Methods: </strong>For 43 intervention stores (implementing ESL in the period 27 May 2019-19 June 2019), a control store, from the same province and retailer-assigned cluster was matched. There were 14 unique control stores. By store, weekly non-food and food sales for 2018 and 2019 were received by Nutri-Score (A/B/C/D/E) and food category according to a retailer-assigned classification system. The primary outcomes were the proportion of food sales for Nutri-Score A,B,C,D,E. Difference-in-differences regression analysis was conducted to estimate the effect of the ESL intervention on proportion of overall food and food category sales for Nutri-Score A,B,C,D,E, using linear mixed models to account for clustering at store-level. We controlled for store characteristics (region, cluster, non-food sales) and week of the year. Analyses were weighted to re-balance discrepancy between the number of intervention and control stores. To account for multiple testing, a Bonferroni adjustment was applied.</p><p><strong>Results: </strong>Comparing pre- and post-intervention periods, difference-in-differences for the proportion of Nutri-Score B and C product sales were more favourable in intervention than control stores (0.11 ± 0.04%, p = 0.007 and - 0.06 ± 0.03%, p = 0.026 respectively), while difference-in-differences for the proportion of Nutri-Score D product sales were less favourable in intervention than control stores (0.12 ± 0.04%, p = 0.002). For 17/58 food categories (representing 29% of total food sales) a positive impact [increase in healthier (Nutri-Score A, B) and/or decrease in less healthy (Nutri-Score D, E) food sales], and for 16/58 categories (representing 24% of total food sales) a negative impact was found. Positive impacts were found for vegetable, fruit and dairy products and confectionery. Negative impacts were found for bread and bakery products.</p><p><strong>Conclusion: </strong>The impact of ESL on consumer purchases was mixed. Favourable difference-in-differences were found for Nutri-Score B and C products and unfavourable difference-in-differences for Nutri-Score D products. Shelf labeling on its own is unlikely to significantly influence consumer behaviours.</p>","PeriodicalId":520799,"journal":{"name":"The international journal of behavioral nutrition and physical activity","volume":" ","pages":"150"},"PeriodicalIF":8.7,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600100/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39903905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}