Sheena M Patel, Janelle P Gunn, Caitlin L Merlo, Xin Tong, Mary E Cogswell
{"title":"Consumer Support for Policies to Reduce the Sodium Content in School Cafeterias.","authors":"Sheena M Patel, Janelle P Gunn, Caitlin L Merlo, Xin Tong, Mary E Cogswell","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Purpose/objectives: </strong>The objective of this study was to assess consumer support for policies lowering the sodium content of cafeteria foods in schools.</p><p><strong>Methods: </strong>Data were used from 9,634 adults aged ≥18 years who responded to questions about sodium in general and in school foods in a 2010 national mail panel survey. Prevalence of consumer support was determined and logistic regression was used to estimate odds ratios.</p><p><strong>Results: </strong>Ninety percent (95% CI: 89.1%-90.8%) of respondents support policies that lower sodium content of cafeteria foods in schools. Support for policies was =78% for all subgroups examined. The odds of support were higher for females, non-Hispanic blacks and Hispanics compared with non-Hispanic whites and respondents who reside in the Northeast compared with the South. Those reporting \"neutral\" or \"yes\" to wanting to eat a diet low in sodium were more likely to support policies compared with those answering \"no.\" In addition, the odds of support were higher for those with incomes between $40,000 and $59,999 compared to =$60,000 and those with self-reported high blood pressure.</p><p><strong>Applications to child nutrition professionals: </strong>Results suggest most adults support policies that lower sodium content of cafeteria foods in schools. School nutrition staff can leverage this support by promoting the healthy changes to school meals to parents and community members and communicating how the school meals contribute to healthful eating behaviors. Additional strategies for change include working with school nutrition stakeholders to adopt and implement strong nutrition standards for all school foods and engaging students to help identify lower sodium recipes that they enjoy.</p>","PeriodicalId":73653,"journal":{"name":"Journal of child nutrition & management (Online)","volume":"38 1","pages":"16"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10190989/pdf/nihms-1760241.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9495923","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}
Caroline H Guinn, Suzanne Domel Baxter, Christopher J Finney, David B Hitchcock
{"title":"Examining variations in fourth-grade children's participation in school-breakfast and school-lunch programs by student and program demographics.","authors":"Caroline H Guinn, Suzanne Domel Baxter, Christopher J Finney, David B Hitchcock","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Purpose/objectives: </strong>Analyses were conducted to examine variations in fourth-grade children's participation in school-breakfast and school-lunch programs by weekday, month, socioeconomic status, absenteeism, sex, and school-breakfast location.</p><p><strong>Methods: </strong>Fourth-grade children were participants in a dietary-reporting validation study during the 2005-2006 or 2006-2007 school years in 17 or 8 schools, respectively, in one South Carolina school district. For the two respective school years, school-breakfast location was the classroom for six and seven schools, and for the remaining schools, the cafeteria. District administrative records provided information about 180 possible days of participation in the school-breakfast and school-lunch programs for each of 1,060 children (91% Black, 52% girls). The state's Office of Research and Statistics linked data on school-meal participation with information about individual children's socioeconomic status (eligibility for free or reduced-price school meals) and annual absenteeism from school.</p><p><strong>Results: </strong>For school-provided breakfast, logistic regression showed participation rate differences by weekday (smallest for Monday [56.1%], largest for Wednesday [57.8%], p<0.0001), month (smallest for April [53.5%], largest for September [60.8%], p<0.0001), socioeconomic status (smallest for full-price status [27.5%], largest for free-meal status [63.4%], p<0.0001), school-breakfast location (smaller for breakfast located in the cafeteria [38%] than classroom [71%], p<0.0001), and absenteeism (p<0.0001). For school-provided lunch, logistic regression showed participation rate differences by weekday (smallest for Friday [81.9%], largest for Thursday [83.3%], p<0.0001), month (smallest for May [78.7%], largest for August [86.0%], p<0.0001), socioeconomic status (smallest for full-price status [72.1%], largest for free-meal status [84.9%], p<0.0001), and absenteeism (p<0.0001). There were no differences in participation rate by sex.</p><p><strong>Applications for child nutrition professionals: </strong>Administrative participation records are used for forecasting purchasing and production. Using such records in research studies may provide insight into aspects of children's participation in school-provided meals. Districts and managers are encouraged to share administrative records of children's participation in school-provided meals with researchers.</p>","PeriodicalId":73653,"journal":{"name":"Journal of child nutrition & management (Online)","volume":"37 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3972127/pdf/nihms565334.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32235058","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}
Jill Hartstein, Karen W Cullen, Amy Virus, Laure El Ghormli, Stella L Volpe, Myrlene A Staten, Jessica C Bridgman, Diane D Stadler, Bonnie Gillis, Sarah B McCormick, Connie C Mobley
{"title":"Impact of the HEALTHY Study on Vending Machine Offerings in Middle Schools.","authors":"Jill Hartstein, Karen W Cullen, Amy Virus, Laure El Ghormli, Stella L Volpe, Myrlene A Staten, Jessica C Bridgman, Diane D Stadler, Bonnie Gillis, Sarah B McCormick, Connie C Mobley","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Purposeobjectives: </strong>The purpose of this study is to report the impact of the three-year middle school-based HEALTHY study on intervention school vending machine offerings. There were two goals for the vending machines: serve only dessert/snack foods with 200 kilocalories or less per single serving package, and eliminate 100% fruit juice and beverages with added sugar.</p><p><strong>Methods: </strong>Six schools in each of seven cities (Houston, TX, San Antonio, TX, Irvine, CA, Portland, OR, Pittsburg, PA, Philadelphia, PA, and Chapel Hill, NC) were randomized into intervention (n=21 schools) or control (n=21 schools) groups, with three intervention and three control schools per city. All items in vending machine slots were tallied twice in the fall of 2006 for baseline data and twice at the end of the study, in 2009. The percentage of total slots for each food/beverage category was calculated and compared between intervention and control schools at the end of study, using the Pearson chi-square test statistic.</p><p><strong>Results: </strong>At baseline, 15 intervention and 15 control schools had beverage and/or snack vending machines, compared with 11 intervention and 11 control schools at the end of the study. At the end of study, all of the intervention schools with beverage vending machines, but only one out of the nine control schools, met the beverage goal. The snack goal was met by all of the intervention schools and only one of the four control schools with snack vending machines.</p><p><strong>Applications to child nutrition professionals: </strong>The HEALTHY study's vending machine beverage and snack goals were successfully achieved in intervention schools, reducing access to less healthy food items outside the school meals program. Although the effect of these changes on student diet, energy balance and growth is unknown, these results suggest that healthier options for snacks can successfully be offered in school vending machines.</p>","PeriodicalId":73653,"journal":{"name":"Journal of child nutrition & management (Online)","volume":"35 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655774/pdf/nihms459938.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31441834","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}
Caroline H Guinn, Suzanne Domel Baxter, Mark S Litaker, William O Thompson
{"title":"Prevalence of Overweight and At Risk of Overweight in Fourth-Grade Children across Five School-Based Studies Conducted during Four School Years.","authors":"Caroline H Guinn, Suzanne Domel Baxter, Mark S Litaker, William O Thompson","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>PURPOSE/OBJECTIVES: This article discusses differences by ethnicity (Black, White), gender, and time (season/year) in body mass index (BMI)-for-age percentiles, and prevalence of overweight and at risk of overweight, in fourth-grade children across five studies conducted during four school years. These five studies concerned either the accuracy of children's dietary recalls or children's social desirability, so weight and height measurements were secondary rather than primary aims. METHODS: Across five studies, 1,696 fourth-grade children (54% Black, 46% White; 51% girls) from a total of 14 public elementary schools in one school district were measured. Each child's BMI-for-age percentile was determined using the Centers for Disease Control and Prevention's gender-specific BMI-for-age growth charts. RESULTS: Across all five studies, 20 children (1.2%) were underweight (<5(th) percentile), 989 children (58.3%) were at a healthy weight (≥5(th) and <85(th) percentiles), 281 children (16.6%) were at risk of overweight (≥85(th) and <95(th) percentiles), and 406 children (23.9%) were overweight (≥95(th) percentile). The mean gender-specific BMI-for-age percentile across all children was high (70.1%) and greater for Black children (72.0%) than White children (67.8%) (p=0.02; analysis of covariance). A higher percentage of Black children (26.5%) compared to White children (21.0%) were overweight (p=0.01; chi-square). No differences were found by gender or time in the prevalence of children who were overweight; likewise, no differences were found by ethnicity, gender, or time in the prevalence of children who were at risk of overweight. APPLICATIONS TO CHILD NUTRITION PROFESSIONALS: Schools provide an excellent venue for measuring children's weight and height annually to determine BMI-for-age percentiles. This information can be used to track changes over time, and linked to computerized administrative records of children's daily participation in school meals from one school year to the next to increase knowledge of a relationship between childhood obesity and daily participation in school meals.</p>","PeriodicalId":73653,"journal":{"name":"Journal of child nutrition & management (Online)","volume":"361 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3021412/pdf/nihms52230.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29606582","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}
Francesca H A Frye, Suzanne Domel Baxter, Mark S Litaker, William O Thompson, Caroline H Guinn, Michelle L Baglio, Nicole M Shaffer
{"title":"Differences in Fourth-Graders' Participation Rates Across Four School-Based Nutrition Studies.","authors":"Francesca H A Frye, Suzanne Domel Baxter, Mark S Litaker, William O Thompson, Caroline H Guinn, Michelle L Baglio, Nicole M Shaffer","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Federal policy has encouraged researchers to include children in research studies; thus, it is important to report experiences recruiting children to participate in studies. This article compares fourth-graders' participation rates across four school-based nutrition studies conducted in one school district in a southeastern state. For each study, children were observed eating school meals (breakfast and lunch); interviewed regarding dietary intake; and weighed and measured. For Study 1, children from 11 schools received $10 per interview for up to two interviews conducted in the morning at school. For Study 2, children from 10 schools received $25 if interviewed once in the evening, either by telephone or in a van parked outside the child's home. For Study 3, children from three schools received $10 per interview for up to three interviews held in the evening by telephone. For Study 4, children from six schools received $15 per interview for up to two interviews conducted either in the morning or afternoon at school, or in the evening by telephone. Recruitment procedures were similar for all studies.Participation rates were 73% (n=635) for Study 1, 57% (n=432) for Study 2, 66% (n=158) for Study 3, and 71% (n=296) for Study 4. Logistic regression was used to determine whether study (1, 2, 3, 4), race (black, white), or gender (male, female) were significant predictors of participation (agreed, denied). The results indicated that study (p<0.0001), race (p=0.0198), and gender (p=0.0188) were significant predictors, however, no two-factor interactions among these effects were significant. Post hoc pairwise comparisons with Bonferroni adjustment indicated that agreement to participate for Study 2 was lower (p<0.0001) than that for Studies 1, 3, and 4, which did not differ. Agreement to participate across all four studies was higher for black (69%) than white (63%; p=0.0054) children and for females (69%) than males (64%; p=0.0209). Schools provide a natural environment for nutrition research because school foodservice programs feed millions of children one or two meals (breakfast and/or lunch) each school day. Observations of children eating school meals provide a convenient and relatively unobtrusive means of validating children's dietary recalls. Thus, at some point, most child nutrition professionals are likely to be involved in research either directly (i.e. by conducting studies themselves) or indirectly (i.e. by allowing others access to their school cafeterias to collect data).This paper references the following data:Table 1. Similarities and Differences in the Designs for Each of the Four Studies.Table 2. Number and Percent of Fourth-Grade Children Who Agreed or Denied to Participate by Race and Gender Across all Four Studies Combined.Table 3. Number and Percent of Fourth-Grade Children Who Agreed or Denied to Participate by Gender and Race for Each of the Four Studies Separately.</p>","PeriodicalId":73653,"journal":{"name":"Journal of child nutrition & management (Online)","volume":"27 2","pages":"nihms6422"},"PeriodicalIF":0.0,"publicationDate":"2003-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1945013/pdf/nihms-6422.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"26886063","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}