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2 "Mengzi Sun"
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Association of the dietary inflammatory index with phenotypic age in the United States adults
Mengzi Sun, Jiaxin Fang, Wenhui Gao, Yue He, Yanan Ma, Lina Jin
Epidemiol Health. 2023;45:e2023051.   Published online May 4, 2023
DOI: https://doi.org/10.4178/epih.e2023051
  • 5,010 View
  • 226 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
One of the underlying mechanisms of aging is chronic inflammation, which has been closely associated with daily diet. Phenotypic age (PhenoAge) has been used as an index to track the aging process before diseases show clinical symptoms. The present study aimed to explore the association between the dietary inflammatory index (DII) and PhenoAge.
METHODS
In total, 9,275 adults aged 20 years old and over in the National Health and Nutrition Examination Survey were involved in this study. Dietary patterns were classified as pro-inflammatory or anti-inflammatory according to the DII. PhenoAge was regarded as a continuous variable, and linear regression was used to explore its association with dietary inflammation. Stratified analyses by sex, age, race, physical exercise, smoking status, drinking status, and body mass index were used to test the sensitivity of these associations.
RESULTS
The median value of PhenoAge was 38.60 years and 39.76 years for the participants with anti-inflammatory and pro-inflammatory diets, respectively. A pro-inflammatory diet was positively associated with PhenoAge (β=0.73; 95% confidence interval, 0.31 to 1.14), compared with participants who had an anti-inflammatory diet. There was an interaction between dietary inflammation and age for PhenoAge (p<sub>interaction</sub><0.001). The strength of the association between a pro-inflammatory diet and PhenoAge was stronger as age increased.
CONCLUSIONS
A pro-inflammatory diet was associated with a higher PhenoAge, and the association was strongest in the elderly. We recommended reducing dietary inflammation to delay phenotypic aging, especially for the elderly.
Summary
Key Message
One of the underlying mechanisms of aging is chronic inflammation, which has been closely associated with daily diet, and phenotypic age (PhenoAge) has been used as an index to track the aging process before diseases show clinical symptoms. The present study found that a pro-inflammatory diet was associated with a higher PhenoAge, and the association was strongest in the elderly. We recommended reducing dietary inflammation to delay phenotypic aging, especially for the elderly.

Citations

Citations to this article as recorded by  
  • The association between methylmalonic acid, a biomarker of mitochondria dysfunction, and phenotypic age acceleration: A population-based study
    Bing Cao, Yu Xue, Dan Liu
    Archives of Gerontology and Geriatrics.2024; 117: 105176.     CrossRef
  • Association of pro-inflammatory diet with increased risk of gallstone disease: a cross-sectional study of NHANES January 2017–March 2020
    Jinnian Cheng, Qian Zhuang, Weiyi Wang, Ji Li, Lu Zhou, Ying Xu, Haiqin Zhang, Zixu Zhang, Fengli Zhou, Daming Yang, Yimin Chu, Haixia Peng
    Frontiers in Nutrition.2024;[Epub]     CrossRef
Trends and all-cause mortality associated with multimorbidity of non-communicable diseases among adults in the United States, 1999-2018: a retrospective cohort study
Mengzi Sun, Ling Wang, Xuhan Wang, Li Tong, Lina Jin, Bo Li
Epidemiol Health. 2023;45:e2023023.   Published online February 14, 2023
DOI: https://doi.org/10.4178/epih.e2023023
  • 4,575 View
  • 112 Download
  • 1 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Multimorbidity of non-communicable diseases (NCDs) has brought enormous challenges to public health, becoming a major medical burden. However, the patterns, temporal trends, and all-cause mortality associated with NCD multimorbidity over time have not been well described in the United States.
METHODS
All adult participants were sourced from nationally representative data from the National Health and Nutrition Examination Survey. In total, 55,081 participants were included in trend analysis, and 38,977 participants were included in Cox regression.
RESULTS
The 5 NCDs with the largest increases over the study period were diabetes, osteoporosis, obesity, liver conditions, and cancer. The estimated prevalence of multimorbidity increased with age, especially for middle-aged participants with 5 or more NCDs; in general, the prevalence of NCD multimorbidity was higher among females than males. Participants with 5 or more NCDs were at 4.49 times the risk of all-cause mortality of participants without any diseases. Significant interactions were found between multimorbidity and age group (p for interaction <0.001), race/ethnicity (p for interaction<0.001), and educational attainment (p for interaction=0.010).
CONCLUSIONS
The prevalence of multiple NCDs significantly increased from 1999 to 2018. Those with 5 or more NCDs had the highest risk of all-cause mortality, especially among the young population. The data reported by this study could serve as a reference for additional NCD research.
Summary
Key Message
This study included a series-cross sectional study and a retrospective cohort study, utilizing nationally representative data from the National Health and Nutrition Examination Survey (NHANES). Multimorbidity of non-communicable diseases (NCDs) has brought enormous challenges to public health, becoming a major medical burden. This study aimed to explore the patterns, temporal trends, and all-cause mortality of multimorbidity of NCDs in the United States from 1999 to 2018, by gender-specific and age-specific. The data reported by this study could serve as a reference for additional NCD research.

Citations

Citations to this article as recorded by  
  • Association of poverty-income ratio with cardiovascular disease and mortality in cancer survivors in the United States
    Vidhushei Yogeswaran, Youngdeok Kim, R. Lee Franco, Alexander R. Lucas, Arnethea L. Sutton, Jessica G. LaRose, Jonathan Kenyon, Ralph B. D’Agostino, Vanessa B. Sheppard, Kerryn Reding, W. Gregory Hundley, Richard K. Cheng, Hamid Reza Baradaran
    PLOS ONE.2024; 19(7): e0300154.     CrossRef

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