Dietary phytochemical index associated with cardiovascular risk factor in patients with type 1 diabetes mellitus.


Journal

BMC cardiovascular disorders
ISSN: 1471-2261
Titre abrégé: BMC Cardiovasc Disord
Pays: England
ID NLM: 100968539

Informations de publication

Date de publication:
12 06 2021
Historique:
received: 13 02 2021
accepted: 08 06 2021
entrez: 13 6 2021
pubmed: 14 6 2021
medline: 12 10 2021
Statut: epublish

Résumé

Dietary phytochemical index (DPI) is useful and inexpensive method to identify the role of phytochemicals on cardiovascular disease (CVD) risk factors. This study aimed to assess the relationship between DPI and CVD risk factors in patients with type1 diabetes mellitus. A total of 261 participants aged 18-35 years with T1DM were enrolled in this cross-sectional study to assess the relationship between DPI and CVD risk factors. Anthropometric measurements, blood lipids, glucose, and antioxidant level were measured. Food intakes were determined using a food frequency questionnaire to calculate DPI. Logistic regression was used. The mean age of participants was 25 years. After adjustment for potential confounders, participants in the highest tertile of DPI had 88 % lower chance of hyperglycemia (P for trend = 0.020), 81 % lower chance of low high-density lipoprotein cholesterol (HDL-C) (P for trend = 0.030) and 98 % lower chance of high low-density lipoprotein cholesterol to HDL-C ratio (P for tend = 0.040). There were no relationships between DPI and other CVD risk factors. Although higher intake of phytochemical-rich foods had a beneficial effect on some risk factors of CVD, more studies more studies are warranted to corroborate the present findings.

Sections du résumé

BACKGROUND
Dietary phytochemical index (DPI) is useful and inexpensive method to identify the role of phytochemicals on cardiovascular disease (CVD) risk factors. This study aimed to assess the relationship between DPI and CVD risk factors in patients with type1 diabetes mellitus.
METHODS
A total of 261 participants aged 18-35 years with T1DM were enrolled in this cross-sectional study to assess the relationship between DPI and CVD risk factors. Anthropometric measurements, blood lipids, glucose, and antioxidant level were measured. Food intakes were determined using a food frequency questionnaire to calculate DPI. Logistic regression was used.
RESULTS
The mean age of participants was 25 years. After adjustment for potential confounders, participants in the highest tertile of DPI had 88 % lower chance of hyperglycemia (P for trend = 0.020), 81 % lower chance of low high-density lipoprotein cholesterol (HDL-C) (P for trend = 0.030) and 98 % lower chance of high low-density lipoprotein cholesterol to HDL-C ratio (P for tend = 0.040). There were no relationships between DPI and other CVD risk factors.
CONCLUSIONS
Although higher intake of phytochemical-rich foods had a beneficial effect on some risk factors of CVD, more studies more studies are warranted to corroborate the present findings.

Identifiants

pubmed: 34118879
doi: 10.1186/s12872-021-02106-2
pii: 10.1186/s12872-021-02106-2
pmc: PMC8199677
doi:

Substances chimiques

Biomarkers 0
Blood Glucose 0
Cholesterol, HDL 0
Cholesterol, LDL 0
Phytochemicals 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

293

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Auteurs

Saeideh Delshad Aghdam (S)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost Street, Naderi Street, Keshavarz Blv, Tehran, 14167-53955, Iran.

Fereydoun Siassi (F)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost Street, Naderi Street, Keshavarz Blv, Tehran, 14167-53955, Iran. siassif@tums.ac.ir.

Ensieh Nasli Esfahani (E)

Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Mostafa Qorbani (M)

Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Asadollah Rajab (A)

Iranian Diabetes Association, Tehran, Iran.

Zahra Sajjadpour (Z)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost Street, Naderi Street, Keshavarz Blv, Tehran, 14167-53955, Iran.

Anahita Bashiri (A)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost Street, Naderi Street, Keshavarz Blv, Tehran, 14167-53955, Iran.

Maryam Aghayan (M)

Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Gity Sotoudeh (G)

Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Hojatdost Street, Naderi Street, Keshavarz Blv, Tehran, 14167-53955, Iran. gsotodeh@tums.ac.ir.

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Classifications MeSH