Clusters of carbohydrate-rich foods and associations with type 2 diabetes incidence: a prospective cohort study

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Clusters of carbohydrate-rich foods and associations with type 2 diabetes incidence: a prospective cohort study. / Olsson, Kjell; González-Padilla, Esther; Janzi, Suzanne; Stubbendorff, Anna; Borné, Yan; Ramne, Stina; Ericson, Ulrika; Sonestedt, Emily.

In: Nutrition Journal, Vol. 22, No. 1, 18.12.2023, p. 71.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Olsson, K, González-Padilla, E, Janzi, S, Stubbendorff, A, Borné, Y, Ramne, S, Ericson, U & Sonestedt, E 2023, 'Clusters of carbohydrate-rich foods and associations with type 2 diabetes incidence: a prospective cohort study', Nutrition Journal, vol. 22, no. 1, pp. 71. https://doi.org/10.1186/s12937-023-00906-0

APA

Olsson, K., González-Padilla, E., Janzi, S., Stubbendorff, A., Borné, Y., Ramne, S., Ericson, U., & Sonestedt, E. (2023). Clusters of carbohydrate-rich foods and associations with type 2 diabetes incidence: a prospective cohort study. Nutrition Journal, 22(1), 71. https://doi.org/10.1186/s12937-023-00906-0

Vancouver

Olsson K, González-Padilla E, Janzi S, Stubbendorff A, Borné Y, Ramne S et al. Clusters of carbohydrate-rich foods and associations with type 2 diabetes incidence: a prospective cohort study. Nutrition Journal. 2023 Dec 18;22(1):71. https://doi.org/10.1186/s12937-023-00906-0

Author

Olsson, Kjell ; González-Padilla, Esther ; Janzi, Suzanne ; Stubbendorff, Anna ; Borné, Yan ; Ramne, Stina ; Ericson, Ulrika ; Sonestedt, Emily. / Clusters of carbohydrate-rich foods and associations with type 2 diabetes incidence: a prospective cohort study. In: Nutrition Journal. 2023 ; Vol. 22, No. 1. pp. 71.

Bibtex

@article{309d284b51a84415a61123d5e369add9,
title = "Clusters of carbohydrate-rich foods and associations with type 2 diabetes incidence: a prospective cohort study",
abstract = "BACKGROUND: About one in ten adults are living with diabetes worldwide. Intake of carbohydrates and carbohydrate-rich foods are often identified as modifiable risk factors for incident type 2 diabetes. However, strong correlation between food variables can make it difficult to identify true associations. The purpose of this study was to identify clusters of carbohydrate-rich foods and analyse their associations with type 2 diabetes incidence in the Malm{\"o} Diet and Cancer Study cohort in southern Sweden.METHODS: Dietary intake of 26 622 participants was assessed using a validated three-part diet history method: a 7-day food diary, a 168-item food frequency questionnaire, and a 60-minute interview. K-means clustering analysis identified five clusters from 21 food variables. The Cox proportional hazard regression model was applied to calculate hazard ratios (HR) and 95% confidence intervals (CI) of the association between clusters and incident type 2 diabetes.RESULTS: The cluster analysis resulted in five clusters; high vegetables/low added sugar, high sugar-sweetened beverages, high juice, high fruit, and high refined carbohydrates/low fruit & vegetables (reference). During mean follow-up of 18 years, 4046 type 2 diabetes cases were identified. After adjustment for potential confounding (including lifestyle, body mass index, and diet), a high fruit cluster (HR 0.86; 95% CI 0.78, 0.94) was inversely associated with type 2 diabetes compared to the reference cluster. No other significant associations were identified.CONCLUSIONS: A dietary pattern defined by a high intake of fruits was associated with a lower incidence of type 2 diabetes. The findings provide additional evidence of a potential protective effect from fruit intake in reducing type 2 diabetes risk. Future studies are needed to explore this association further.",
keywords = "Adult, Humans, Diabetes Mellitus, Type 2/epidemiology, Prospective Studies, Diet/adverse effects, Risk Factors, Fruit, Vegetables, Incidence, Carbohydrates",
author = "Kjell Olsson and Esther Gonz{\'a}lez-Padilla and Suzanne Janzi and Anna Stubbendorff and Yan Born{\'e} and Stina Ramne and Ulrika Ericson and Emily Sonestedt",
note = "{\textcopyright} 2023. The Author(s).",
year = "2023",
month = dec,
day = "18",
doi = "10.1186/s12937-023-00906-0",
language = "English",
volume = "22",
pages = "71",
journal = "Nutrition Journal",
issn = "1475-2891",
publisher = "BioMed Central",
number = "1",

}

RIS

TY - JOUR

T1 - Clusters of carbohydrate-rich foods and associations with type 2 diabetes incidence: a prospective cohort study

AU - Olsson, Kjell

AU - González-Padilla, Esther

AU - Janzi, Suzanne

AU - Stubbendorff, Anna

AU - Borné, Yan

AU - Ramne, Stina

AU - Ericson, Ulrika

AU - Sonestedt, Emily

N1 - © 2023. The Author(s).

PY - 2023/12/18

Y1 - 2023/12/18

N2 - BACKGROUND: About one in ten adults are living with diabetes worldwide. Intake of carbohydrates and carbohydrate-rich foods are often identified as modifiable risk factors for incident type 2 diabetes. However, strong correlation between food variables can make it difficult to identify true associations. The purpose of this study was to identify clusters of carbohydrate-rich foods and analyse their associations with type 2 diabetes incidence in the Malmö Diet and Cancer Study cohort in southern Sweden.METHODS: Dietary intake of 26 622 participants was assessed using a validated three-part diet history method: a 7-day food diary, a 168-item food frequency questionnaire, and a 60-minute interview. K-means clustering analysis identified five clusters from 21 food variables. The Cox proportional hazard regression model was applied to calculate hazard ratios (HR) and 95% confidence intervals (CI) of the association between clusters and incident type 2 diabetes.RESULTS: The cluster analysis resulted in five clusters; high vegetables/low added sugar, high sugar-sweetened beverages, high juice, high fruit, and high refined carbohydrates/low fruit & vegetables (reference). During mean follow-up of 18 years, 4046 type 2 diabetes cases were identified. After adjustment for potential confounding (including lifestyle, body mass index, and diet), a high fruit cluster (HR 0.86; 95% CI 0.78, 0.94) was inversely associated with type 2 diabetes compared to the reference cluster. No other significant associations were identified.CONCLUSIONS: A dietary pattern defined by a high intake of fruits was associated with a lower incidence of type 2 diabetes. The findings provide additional evidence of a potential protective effect from fruit intake in reducing type 2 diabetes risk. Future studies are needed to explore this association further.

AB - BACKGROUND: About one in ten adults are living with diabetes worldwide. Intake of carbohydrates and carbohydrate-rich foods are often identified as modifiable risk factors for incident type 2 diabetes. However, strong correlation between food variables can make it difficult to identify true associations. The purpose of this study was to identify clusters of carbohydrate-rich foods and analyse their associations with type 2 diabetes incidence in the Malmö Diet and Cancer Study cohort in southern Sweden.METHODS: Dietary intake of 26 622 participants was assessed using a validated three-part diet history method: a 7-day food diary, a 168-item food frequency questionnaire, and a 60-minute interview. K-means clustering analysis identified five clusters from 21 food variables. The Cox proportional hazard regression model was applied to calculate hazard ratios (HR) and 95% confidence intervals (CI) of the association between clusters and incident type 2 diabetes.RESULTS: The cluster analysis resulted in five clusters; high vegetables/low added sugar, high sugar-sweetened beverages, high juice, high fruit, and high refined carbohydrates/low fruit & vegetables (reference). During mean follow-up of 18 years, 4046 type 2 diabetes cases were identified. After adjustment for potential confounding (including lifestyle, body mass index, and diet), a high fruit cluster (HR 0.86; 95% CI 0.78, 0.94) was inversely associated with type 2 diabetes compared to the reference cluster. No other significant associations were identified.CONCLUSIONS: A dietary pattern defined by a high intake of fruits was associated with a lower incidence of type 2 diabetes. The findings provide additional evidence of a potential protective effect from fruit intake in reducing type 2 diabetes risk. Future studies are needed to explore this association further.

KW - Adult

KW - Humans

KW - Diabetes Mellitus, Type 2/epidemiology

KW - Prospective Studies

KW - Diet/adverse effects

KW - Risk Factors

KW - Fruit

KW - Vegetables

KW - Incidence

KW - Carbohydrates

U2 - 10.1186/s12937-023-00906-0

DO - 10.1186/s12937-023-00906-0

M3 - Journal article

C2 - 38111004

VL - 22

SP - 71

JO - Nutrition Journal

JF - Nutrition Journal

SN - 1475-2891

IS - 1

ER -

ID: 396726701