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Zuercher MD, Cohen JFW, Hecht CA, Hecht K, Orta-Aleman D, Patel A, Olarte DA, Chapman LE, Read M, Schwartz MB, Ritchie LD, Gosliner W. Parent Perceptions of School Meals Influence Student Participation in School Meal Programs. JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR 2024; 56:230-241. [PMID: 38583880 DOI: 10.1016/j.jneb.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 01/05/2024] [Accepted: 01/10/2024] [Indexed: 04/09/2024]
Abstract
OBJECTIVE To evaluate if parent perceptions of school meals influence student participation. DESIGN In May 2022, an online survey was used to evaluate parents' perceptions of school meals and their children's participation. PARTICIPANTS A total of 1,110 California parents of kindergarten through 12th-grade students. MAIN OUTCOME MEASURES Student participation in school lunch and breakfast. ANALYSIS Principal component analysis and Poisson regression models. RESULTS Three groups of parental perceptions were identified: (1) positive perceptions (eg, liking school meals and thinking that they are tasty and healthy), (2) perceived benefits to families (eg, school meals save families money, time, and stress), and (3) negative (eg, concerns about the amount of sugar in school meals and stigma). More positive parental perceptions about school meals and their benefits to families were associated with greater student meal participation. In contrast, more negative parental perceptions were associated with reduced student participation in school meals (P < 0.05). CONCLUSION AND IMPLICATIONS Parent perceptions of school meals may affect student participation in school meal programs. Working to ensure parents are familiar with the healthfulness and quality of school meals and the efforts schools are making to provide high-quality, appealing meals may be critical for increasing school meal participation rates.
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Affiliation(s)
- Monica D Zuercher
- Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Berkeley, CA.
| | - Juliana F W Cohen
- Center for Health Inclusion, Research, and Practice, Department of Public Health and Nutrition, Merrimack College, North Andover, MA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Christina A Hecht
- Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Berkeley, CA
| | - Kenneth Hecht
- Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Berkeley, CA
| | - Dania Orta-Aleman
- Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Berkeley, CA
| | - Anisha Patel
- Stanford Pediatrics, Stanford University, Palo Alto, CA
| | - Deborah A Olarte
- Center for Health Inclusion, Research, and Practice, Department of Public Health and Nutrition, Merrimack College, North Andover, MA
| | - Leah E Chapman
- Center for Health Inclusion, Research, and Practice, Department of Public Health and Nutrition, Merrimack College, North Andover, MA
| | - Margaret Read
- Partnership for a Healthier America, Prince Frederick, MD
| | - Marlene B Schwartz
- Rudd Center for Food Policy & Health University of Connecticut, Hartford, CT
| | - Lorrene D Ritchie
- Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Berkeley, CA
| | - Wendi Gosliner
- Nutrition Policy Institute, Division of Agriculture and Natural Resources, University of California, Berkeley, CA
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Zhang J, Du W, Huang F, Li L, Bai J, Wei Y, Wang Z, Zhang B, Wang H. Longitudinal study of dietary patterns and hypertension in adults: China Health and Nutrition Survey 1991-2018. Hypertens Res 2023; 46:2264-2271. [PMID: 37337099 PMCID: PMC10550817 DOI: 10.1038/s41440-023-01322-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 05/08/2023] [Accepted: 05/10/2023] [Indexed: 06/21/2023]
Abstract
China is undergoing the nutrition transition that may explain partly the high prevalence of hypertension. We aimed to investigate the longitudinal association between dietary patterns and hypertension in Chinese adults over 28 years of follow-up. We used data collected in the China Health and Nutrition Survey from 1991 to 2018. Adults aged 18 years and above (n = 15,929) were included in the analysis, for whom questionnaires and anthropometric data were collected during at least two waves. Factor analysis was conducted to derive food patterns based on 18 foods or food groups. We constructed three-level mixed-effect linear regression models to estimate systolic blood pressure (SBP) and diastolic blood pressure (DBP) in relation to quartiles of dietary pattern score and performed three-level mixed-effect logistic regression models to assess the risk of hypertension. Participants in the top quartile of the modern pattern had a decrease in SBP (β = - 0.51; 95% CI -0.86, -0.16; P < 0.01) when adjusted for all potential confounders, whereas participants in the top quartile of the meat pattern had an increase in DBP (β = 0.31; 95% CI 0.08, 0.53; P < 0.01). Participants in the highest quartile of the meat pattern were more likely to have hypertension (OR = 1.14; 95% CI 1.03, 1.24; P < 0.01). Adherence to the modern pattern characterized by high intake of fruits and dairy products was inversely associated with SBP, whereas the meat pattern was positively associated with DBP and the risk of hypertension. These findings may well have important public health implications.
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Affiliation(s)
- Jiguo Zhang
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29, Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Wenwen Du
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29, Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Feifei Huang
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29, Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Li Li
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29, Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Jing Bai
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29, Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Yanli Wei
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29, Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Zhihong Wang
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29, Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Bing Zhang
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29, Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Huijun Wang
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29, Nanwei Road, Xicheng District, Beijing, 100050, China.
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Associations of Dietary Patterns during Pregnancy with Gestational Hypertension: The "Born in Shenyang" Cohort Study. Nutrients 2022; 14:nu14204342. [PMID: 36297024 PMCID: PMC9611399 DOI: 10.3390/nu14204342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 10/05/2022] [Accepted: 10/14/2022] [Indexed: 11/23/2022] Open
Abstract
The literature on maternal dietary patterns and gestational hypertension (GH) risk is largely ambiguous. We investigated the associations of maternal dietary patterns with GH risk among 1092 pregnant women in a Chinese pre-birth cohort. We used both three-day food diaries (TFD) and food frequency questionnaires (FFQ) to assess the diets of pregnant women. Principal components analysis with varimax rotation was used to identify dietary patterns from the TFD and FFQ, respectively. In total, 14.5% of the participants were diagnosed with GH. Maternal adherence to a “Wheaten food−coarse cereals pattern (TFD)” was associated with a lower risk of GH (quartile 3 [Q3] vs. Q1, odds ratio [OR] = 0.53, 95%CI: 0.31, 0.90). Maternal adherence to a “Sweet food−seafood pattern (TFD)” was associated with lower systolic blood pressure (Q4 vs. Q1, β = −2.57, 95%CI: −4.19, −0.96), and mean arterial pressure (Q4 vs. Q1, β = −1.54, 95%CI: −2.70, −0.38). The protective associations of the “Sweet food-seafood (TFD)” and “Fish−seafood pattern (FFQ)” with the risk of GH were more pronounced among women who were overweight/obese before pregnancy (p for interaction < 0.05 for all). The findings may help to develop interventions and better identify target populations for hypertension prevention during pregnancy.
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