Background:The School Wellness Integration Targeting Child Health(SWITCH)intervention has demonstrated feasibility as an implementation approach to help schools facilitate changes in students’physical activity(PA),se...Background:The School Wellness Integration Targeting Child Health(SWITCH)intervention has demonstrated feasibility as an implementation approach to help schools facilitate changes in students’physical activity(PA),sedentary screen time(SST),and dietary intake(DI).This study evaluated the comparative effectiveness of enhanced(individualized)implementation and standard(group-based)implementation.Methods:Twenty-two Iowa elementary schools participated,with each receiving standardized training(wellness conference and webinars).Schools were matched within region and randomized to receive either individualized or group implementation support.The PA,SST,and DI outcomes of 1097 students were assessed at pre-and post-intervention periods using the Youth Activity Profile.Linear mixed models evaluated differential change in outcomes by condition,for comparative effectiveness,and by gender.Results:Both implementation conditions led to significant improvements in PA and SST over time(p<0.01),but DI did not improve commensurately(p value range:0.02‒0.05).There were no differential changes between the group and individualized conditions for PA(p=0.51),SST(p=0.19),or DI(p=0.73).There were no differential effects by gender(i.e.,non-significant condition-by-gender interactions)for PA(p_(for interaction)=0.86),SST(p_(for interaction)=0.46),or DI(p_(for interaction)=0.15).Effect sizes for both conditions equated to approximately 6 min more PA per day and approximately 3 min less sedentary time.Conclusion:The observed lack of difference in outcomes suggests that group implementation of SWITCH is equally effective as individualized implementation for building capacity in school wellness programming.Similarly,the lack of interaction by gender suggests that SWITCH can be beneficial for both boys and girls.Additional research is needed to understand the school-level factors that influence implementation(and outcomes)of SWITCH.展开更多
Conducting thematic analysis in qualitative research can be laborious and time-consuming.We propose and evaluate the feasibility of using Generative Pre-trained Transformer(GPT)models to assist public health researche...Conducting thematic analysis in qualitative research can be laborious and time-consuming.We propose and evaluate the feasibility of using Generative Pre-trained Transformer(GPT)models to assist public health researchers in extracting themes from interview transcripts.Carefully engineered prompts were used to sequentially extract and synthesize transcripts into a concise set of study-level themes relevant to the study’s goals.An evaluation using a 5-point Likert scale(0−4)assessed GPTgenerated themes across 11 published studies based on four criteria:succinctness,alignment with researcher-identified themes,quality of explanations,and relevance of quotes.Across all four criteria,the scores averaged 3.05(95%Confidence Interval(CI):[2.93,3.16]).Our findings indicate that at least half of the GPT-generated themes align with those in published studies,exhibiting succinctness with minimal repetition,substantial depth of explanations,and relevant quotations.Despite these promising results,practices such as complementing outputs with field-specific knowledge are recommended.展开更多
基金The U.S.Department of Agriculture National Institute of Food and Agriculture(USDA NIFA)grant:2015-68001-23242.The USDA was not involved in the design of the study and collection,analysis,and interpretation of data or writing of the manuscript.The authors wish to thank the School Wellness Teams(SWT)who participated in the intervention and led programming.The authors acknowledge the students and staff who helped facilitate data collection and analysis procedures:Andra Luth,Marisa Rosen,Laura C.Liechty,Ann Torbert,and Quinn M.Zuercher(Iowa State University Extension and Outreach),made contributions to the distribution,implementation,and evaluation of SWITCH.
文摘Background:The School Wellness Integration Targeting Child Health(SWITCH)intervention has demonstrated feasibility as an implementation approach to help schools facilitate changes in students’physical activity(PA),sedentary screen time(SST),and dietary intake(DI).This study evaluated the comparative effectiveness of enhanced(individualized)implementation and standard(group-based)implementation.Methods:Twenty-two Iowa elementary schools participated,with each receiving standardized training(wellness conference and webinars).Schools were matched within region and randomized to receive either individualized or group implementation support.The PA,SST,and DI outcomes of 1097 students were assessed at pre-and post-intervention periods using the Youth Activity Profile.Linear mixed models evaluated differential change in outcomes by condition,for comparative effectiveness,and by gender.Results:Both implementation conditions led to significant improvements in PA and SST over time(p<0.01),but DI did not improve commensurately(p value range:0.02‒0.05).There were no differential changes between the group and individualized conditions for PA(p=0.51),SST(p=0.19),or DI(p=0.73).There were no differential effects by gender(i.e.,non-significant condition-by-gender interactions)for PA(p_(for interaction)=0.86),SST(p_(for interaction)=0.46),or DI(p_(for interaction)=0.15).Effect sizes for both conditions equated to approximately 6 min more PA per day and approximately 3 min less sedentary time.Conclusion:The observed lack of difference in outcomes suggests that group implementation of SWITCH is equally effective as individualized implementation for building capacity in school wellness programming.Similarly,the lack of interaction by gender suggests that SWITCH can be beneficial for both boys and girls.Additional research is needed to understand the school-level factors that influence implementation(and outcomes)of SWITCH.
基金supported in part by the Washington University Center for Diabetes Translation Research(WU-CDTR)under Grant Number P30DK092950 from the National Institute of Diabetes and Digestive and Kidney Diseases(NIDDK)。
文摘Conducting thematic analysis in qualitative research can be laborious and time-consuming.We propose and evaluate the feasibility of using Generative Pre-trained Transformer(GPT)models to assist public health researchers in extracting themes from interview transcripts.Carefully engineered prompts were used to sequentially extract and synthesize transcripts into a concise set of study-level themes relevant to the study’s goals.An evaluation using a 5-point Likert scale(0−4)assessed GPTgenerated themes across 11 published studies based on four criteria:succinctness,alignment with researcher-identified themes,quality of explanations,and relevance of quotes.Across all four criteria,the scores averaged 3.05(95%Confidence Interval(CI):[2.93,3.16]).Our findings indicate that at least half of the GPT-generated themes align with those in published studies,exhibiting succinctness with minimal repetition,substantial depth of explanations,and relevant quotations.Despite these promising results,practices such as complementing outputs with field-specific knowledge are recommended.
