Eric J Brandt , Cindy W Leung , Tammy Chang , John Z Ayanian , Mousumi Banerjee , Matthias Kirch , Dariush Mozaffarian , Brahmajee K Nallamothu
{"title":"美国成人饮食模式与心脏代谢健康和社会经济脆弱性的差异","authors":"Eric J Brandt , Cindy W Leung , Tammy Chang , John Z Ayanian , Mousumi Banerjee , Matthias Kirch , Dariush Mozaffarian , Brahmajee K Nallamothu","doi":"10.1016/j.tjnut.2025.06.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Naturally occurring dietary patterns are not well described among individuals with cardiovascular disease (CVD) or cardiometabolic risk factors (i.e., diabetes, hypertension, obesity, and dyslipidemia), particularly considering socioeconomic vulnerability.</div></div><div><h3>Objectives</h3><div>We investigated major dietary patterns in the United States and their distribution by prevalent CVD, cardiometabolic risk factors, and socioeconomic vulnerability.</div></div><div><h3>Methods</h3><div>This cross-sectional study analyzed data from 32,498 noninstitutionalized adults who participated in the National Health and Nutrition Examination Survey (2009–2020). We used principal component analysis to identify dietary patterns. Using multiple linear regression, we tested the association of prevalent CVD, cardiometabolic risk factors, and socioeconomic vulnerability [number of social risk factors and Supplemental Nutrition Assistance Program (SNAP) participation status] with each pattern.</div></div><div><h3>Results</h3><div>Four dietary patterns were identified: processed/animal foods (high-refined grains, added sugars, meats, and dairy), prudent (high vegetables, nuts/seeds, oils, seafood, and poultry), legume, and fruit/whole grain/dairy, which together explained 29.2% of the dietary variance. After adjustment for age, gender, race and ethnicity, cohort year, and total energy intake, the processed/animals foods pattern associated (β-coefficient for difference in principal component score) positively with diabetes [0.08 (0.01, 0.14)], hypertension [0.11 (0.06, 0.16)], obesity [0.15 (0.11, 0.19)], higher social risk score (<em>P</em>-trend < 0.001), income-eligible SNAP nonparticipation [0.16 (0.09, 0.23)], and SNAP participation [0.23 (0.17, 0.29)]. The prudent pattern associated negatively with hypertension [−0.09 (−0.14, −0.04)], obesity [−0.11 (−0.16, −0.06)], higher social risk score (<em>P</em>-trend < 0.001), income-eligible SNAP nonparticipation [−0.14 (−0.21, −0.06)], and SNAP participation [−0.30 (−0.35, −0.24)]. The legume pattern was associated negatively with CVD [−0.09 (−0.15, −0.02)] and obesity [−0.08 (−0.12, −0.04)], and positively with income-eligible SNAP nonparticipation [0.11 (0.04, 0.18)]. The fruit/whole grain/dairy pattern was associated positively with diabetes [0.08 (0.01, 0.15)] and negatively with hypertension [−0.21 (−0.26, −0.15)], obesity [−0.23 (−0.28, −0.18)], higher social risk score (<em>P</em>-trend < 0.001), and SNAP participation [−0.19 (−0.25, −0.12)].</div></div><div><h3>Conclusions</h3><div>Empirical dietary patterns in the United States vary by CVD, cardiometabolic risk factors, and socioeconomic vulnerability. Initiatives to improve nutrition should consider these naturally occurring dietary patterns and their variation in key subgroups.</div></div>","PeriodicalId":16620,"journal":{"name":"Journal of Nutrition","volume":"155 8","pages":"Pages 2685-2699"},"PeriodicalIF":3.8000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Differences in United States Adult Dietary Patterns by Cardiometabolic Health and Socioeconomic Vulnerability\",\"authors\":\"Eric J Brandt , Cindy W Leung , Tammy Chang , John Z Ayanian , Mousumi Banerjee , Matthias Kirch , Dariush Mozaffarian , Brahmajee K Nallamothu\",\"doi\":\"10.1016/j.tjnut.2025.06.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Naturally occurring dietary patterns are not well described among individuals with cardiovascular disease (CVD) or cardiometabolic risk factors (i.e., diabetes, hypertension, obesity, and dyslipidemia), particularly considering socioeconomic vulnerability.</div></div><div><h3>Objectives</h3><div>We investigated major dietary patterns in the United States and their distribution by prevalent CVD, cardiometabolic risk factors, and socioeconomic vulnerability.</div></div><div><h3>Methods</h3><div>This cross-sectional study analyzed data from 32,498 noninstitutionalized adults who participated in the National Health and Nutrition Examination Survey (2009–2020). We used principal component analysis to identify dietary patterns. Using multiple linear regression, we tested the association of prevalent CVD, cardiometabolic risk factors, and socioeconomic vulnerability [number of social risk factors and Supplemental Nutrition Assistance Program (SNAP) participation status] with each pattern.</div></div><div><h3>Results</h3><div>Four dietary patterns were identified: processed/animal foods (high-refined grains, added sugars, meats, and dairy), prudent (high vegetables, nuts/seeds, oils, seafood, and poultry), legume, and fruit/whole grain/dairy, which together explained 29.2% of the dietary variance. After adjustment for age, gender, race and ethnicity, cohort year, and total energy intake, the processed/animals foods pattern associated (β-coefficient for difference in principal component score) positively with diabetes [0.08 (0.01, 0.14)], hypertension [0.11 (0.06, 0.16)], obesity [0.15 (0.11, 0.19)], higher social risk score (<em>P</em>-trend < 0.001), income-eligible SNAP nonparticipation [0.16 (0.09, 0.23)], and SNAP participation [0.23 (0.17, 0.29)]. The prudent pattern associated negatively with hypertension [−0.09 (−0.14, −0.04)], obesity [−0.11 (−0.16, −0.06)], higher social risk score (<em>P</em>-trend < 0.001), income-eligible SNAP nonparticipation [−0.14 (−0.21, −0.06)], and SNAP participation [−0.30 (−0.35, −0.24)]. The legume pattern was associated negatively with CVD [−0.09 (−0.15, −0.02)] and obesity [−0.08 (−0.12, −0.04)], and positively with income-eligible SNAP nonparticipation [0.11 (0.04, 0.18)]. The fruit/whole grain/dairy pattern was associated positively with diabetes [0.08 (0.01, 0.15)] and negatively with hypertension [−0.21 (−0.26, −0.15)], obesity [−0.23 (−0.28, −0.18)], higher social risk score (<em>P</em>-trend < 0.001), and SNAP participation [−0.19 (−0.25, −0.12)].</div></div><div><h3>Conclusions</h3><div>Empirical dietary patterns in the United States vary by CVD, cardiometabolic risk factors, and socioeconomic vulnerability. Initiatives to improve nutrition should consider these naturally occurring dietary patterns and their variation in key subgroups.</div></div>\",\"PeriodicalId\":16620,\"journal\":{\"name\":\"Journal of Nutrition\",\"volume\":\"155 8\",\"pages\":\"Pages 2685-2699\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nutrition\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022316625003335\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nutrition","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022316625003335","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Differences in United States Adult Dietary Patterns by Cardiometabolic Health and Socioeconomic Vulnerability
Background
Naturally occurring dietary patterns are not well described among individuals with cardiovascular disease (CVD) or cardiometabolic risk factors (i.e., diabetes, hypertension, obesity, and dyslipidemia), particularly considering socioeconomic vulnerability.
Objectives
We investigated major dietary patterns in the United States and their distribution by prevalent CVD, cardiometabolic risk factors, and socioeconomic vulnerability.
Methods
This cross-sectional study analyzed data from 32,498 noninstitutionalized adults who participated in the National Health and Nutrition Examination Survey (2009–2020). We used principal component analysis to identify dietary patterns. Using multiple linear regression, we tested the association of prevalent CVD, cardiometabolic risk factors, and socioeconomic vulnerability [number of social risk factors and Supplemental Nutrition Assistance Program (SNAP) participation status] with each pattern.
Results
Four dietary patterns were identified: processed/animal foods (high-refined grains, added sugars, meats, and dairy), prudent (high vegetables, nuts/seeds, oils, seafood, and poultry), legume, and fruit/whole grain/dairy, which together explained 29.2% of the dietary variance. After adjustment for age, gender, race and ethnicity, cohort year, and total energy intake, the processed/animals foods pattern associated (β-coefficient for difference in principal component score) positively with diabetes [0.08 (0.01, 0.14)], hypertension [0.11 (0.06, 0.16)], obesity [0.15 (0.11, 0.19)], higher social risk score (P-trend < 0.001), income-eligible SNAP nonparticipation [0.16 (0.09, 0.23)], and SNAP participation [0.23 (0.17, 0.29)]. The prudent pattern associated negatively with hypertension [−0.09 (−0.14, −0.04)], obesity [−0.11 (−0.16, −0.06)], higher social risk score (P-trend < 0.001), income-eligible SNAP nonparticipation [−0.14 (−0.21, −0.06)], and SNAP participation [−0.30 (−0.35, −0.24)]. The legume pattern was associated negatively with CVD [−0.09 (−0.15, −0.02)] and obesity [−0.08 (−0.12, −0.04)], and positively with income-eligible SNAP nonparticipation [0.11 (0.04, 0.18)]. The fruit/whole grain/dairy pattern was associated positively with diabetes [0.08 (0.01, 0.15)] and negatively with hypertension [−0.21 (−0.26, −0.15)], obesity [−0.23 (−0.28, −0.18)], higher social risk score (P-trend < 0.001), and SNAP participation [−0.19 (−0.25, −0.12)].
Conclusions
Empirical dietary patterns in the United States vary by CVD, cardiometabolic risk factors, and socioeconomic vulnerability. Initiatives to improve nutrition should consider these naturally occurring dietary patterns and their variation in key subgroups.
期刊介绍:
The Journal of Nutrition (JN/J Nutr) publishes peer-reviewed original research papers covering all aspects of experimental nutrition in humans and other animal species; special articles such as reviews and biographies of prominent nutrition scientists; and issues, opinions, and commentaries on controversial issues in nutrition. Supplements are frequently published to provide extended discussion of topics of special interest.