Cross-sectional associations between dietary intake and carotid intima media thickness in type 2 diabetes: baseline data from a randomised trial Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.32920/26521324
Objective To assess associations between dietary intake and carotid intima media thickness (CIMT) by carotid ultrasound (CUS), a surrogate marker of cardiovascular disease (CVD) risk, in those with type 2 diabetes. Design Cross-sectional analysis of baseline data from 325 participants from three randomised controlled trials collected in the same way. Setting Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Canada. Participants 325 participants with type 2 diabetes, taking oral antidiabetic agents, with an HbA1c between 6.5% and 8.0% at screening, without a recent cardiovascular event. Main outcome measures CIMT by CUS and associations with dietary intake from 7-day food records, as well as anthropometric measures and fasting serum samples. Results CIMT was significantly inversely associated with dietary pulse intake (β=−0.019, p=0.009), available carbohydrate (β=−0.004, p=0.008), glycaemic load (β=−0.001, p=0.007) and starch (β=−0.126, p=0.010), and directly associated with total (β=0.004, p=0.028) and saturated (β=0.012, p=0.006) fat intake in multivariate regression models adjusted for age, smoking, previous CVD event, blood pressure medication, antidiabetic medication and ultrasonographer. Conclusions Lower CIMT was significantly associated with greater consumption of dietary pulses and carbohydrates and lower total and saturated fat intake, suggesting a potential role for diet in CVD risk management in type 2 diabetes. Randomised controlled trials are anticipated to explore these associations further.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.32920/26521324
- https://rshare.library.torontomu.ca/articles/journal_contribution/Cross-sectional_associations_between_dietary_intake_and_carotid_intima_media_thickness_in_type_2_diabetes_baseline_data_from_a_randomised_trial/26521324/1/files/48290050.pdf
- OA Status
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- Related Works
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- OpenAlex ID
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https://openalex.org/W4401417148Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.32920/26521324Digital Object Identifier
- Title
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Cross-sectional associations between dietary intake and carotid intima media thickness in type 2 diabetes: baseline data from a randomised trialWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-08-08Full publication date if available
- Authors
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Laura Chiavaroli, Arash Mirrahimi, Christopher Ireland, Sandra A. Mitchell, Sandhya Sahye‐Pudaruth, Judy Coveney, Omodele Olowoyeye, Darshna Patel, Russell J. de Souza, Livia S. A. Augustin, Balachandran Bashyam, Sathish Chandra Pichika, Sonia Blanco Mejía, Stephanie Nishi, Lawrence A. Leiter, Robert G. Josse, Gail McKeown‐Eyssen, Alan R. Moody, Cyril W.C. Kendall, John L. Sievenpiper, David J.A. JenkinsList of authors in order
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https://doi.org/10.32920/26521324Publisher landing page
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https://rshare.library.torontomu.ca/articles/journal_contribution/Cross-sectional_associations_between_dietary_intake_and_carotid_intima_media_thickness_in_type_2_diabetes_baseline_data_from_a_randomised_trial/26521324/1/files/48290050.pdfDirect link to full text PDF
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goldOpen access status per OpenAlex
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https://rshare.library.torontomu.ca/articles/journal_contribution/Cross-sectional_associations_between_dietary_intake_and_carotid_intima_media_thickness_in_type_2_diabetes_baseline_data_from_a_randomised_trial/26521324/1/files/48290050.pdfDirect OA link when available
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Intima-media thickness, Type 2 diabetes, Medicine, Cross-sectional study, Baseline (sea), Diabetes mellitus, Internal medicine, Cardiology, Carotid arteries, Endocrinology, Pathology, Biology, FisheryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.325 | 38, 61 |
| abstract_inverted_index.CUS | 90 |
| abstract_inverted_index.CVD | 155, 192 |
| abstract_inverted_index.St. | 55 |
| abstract_inverted_index.and | 7, 76, 91, 105, 129, 133, 140, 162, 176, 178, 181 |
| abstract_inverted_index.are | 202 |
| abstract_inverted_index.fat | 144, 183 |
| abstract_inverted_index.for | 151, 189 |
| abstract_inverted_index.the | 47 |
| abstract_inverted_index.was | 111, 167 |
| abstract_inverted_index.6.5% | 75 |
| abstract_inverted_index.8.0% | 77 |
| abstract_inverted_index.CIMT | 88, 110, 166 |
| abstract_inverted_index.Risk | 51 |
| abstract_inverted_index.age, | 152 |
| abstract_inverted_index.data | 36 |
| abstract_inverted_index.diet | 190 |
| abstract_inverted_index.food | 98 |
| abstract_inverted_index.from | 37, 40, 96 |
| abstract_inverted_index.load | 126 |
| abstract_inverted_index.oral | 68 |
| abstract_inverted_index.risk | 193 |
| abstract_inverted_index.role | 188 |
| abstract_inverted_index.same | 48 |
| abstract_inverted_index.type | 28, 64, 196 |
| abstract_inverted_index.well | 101 |
| abstract_inverted_index.with | 27, 63, 71, 93, 115, 136, 170 |
| abstract_inverted_index.(CVD) | 23 |
| abstract_inverted_index.7-day | 97 |
| abstract_inverted_index.HbA1c | 73 |
| abstract_inverted_index.blood | 157 |
| abstract_inverted_index.lower | 179 |
| abstract_inverted_index.media | 10 |
| abstract_inverted_index.pulse | 117 |
| abstract_inverted_index.risk, | 24 |
| abstract_inverted_index.serum | 107 |
| abstract_inverted_index.these | 206 |
| abstract_inverted_index.those | 26 |
| abstract_inverted_index.three | 41 |
| abstract_inverted_index.total | 137, 180 |
| abstract_inverted_index.(CIMT) | 12 |
| abstract_inverted_index.(CUS), | 16 |
| abstract_inverted_index.Factor | 52 |
| abstract_inverted_index.assess | 2 |
| abstract_inverted_index.event, | 156 |
| abstract_inverted_index.intake | 6, 95, 118, 145 |
| abstract_inverted_index.intima | 9 |
| abstract_inverted_index.marker | 19 |
| abstract_inverted_index.models | 149 |
| abstract_inverted_index.pulses | 175 |
| abstract_inverted_index.recent | 82 |
| abstract_inverted_index.starch | 130 |
| abstract_inverted_index.taking | 67 |
| abstract_inverted_index.trials | 44, 201 |
| abstract_inverted_index.Centre, | 54 |
| abstract_inverted_index.agents, | 70 |
| abstract_inverted_index.between | 4, 74 |
| abstract_inverted_index.carotid | 8, 14 |
| abstract_inverted_index.dietary | 5, 94, 116, 174 |
| abstract_inverted_index.disease | 22 |
| abstract_inverted_index.explore | 205 |
| abstract_inverted_index.fasting | 106 |
| abstract_inverted_index.greater | 171 |
| abstract_inverted_index.intake, | 184 |
| abstract_inverted_index.outcome | 86 |
| abstract_inverted_index.without | 80 |
| abstract_inverted_index.Toronto, | 58 |
| abstract_inverted_index.adjusted | 150 |
| abstract_inverted_index.analysis | 33 |
| abstract_inverted_index.baseline | 35 |
| abstract_inverted_index.directly | 134 |
| abstract_inverted_index.measures | 104 |
| abstract_inverted_index.p=0.006) | 143 |
| abstract_inverted_index.p=0.007) | 128 |
| abstract_inverted_index.p=0.028) | 139 |
| abstract_inverted_index.pressure | 158 |
| abstract_inverted_index.previous | 154 |
| abstract_inverted_index.records, | 99 |
| abstract_inverted_index.smoking, | 153 |
| abstract_inverted_index.Hospital, | 57 |
| abstract_inverted_index.Michael's | 56 |
| abstract_inverted_index.available | 121 |
| abstract_inverted_index.collected | 45 |
| abstract_inverted_index.diabetes, | 66 |
| abstract_inverted_index.diabetes. | 198 |
| abstract_inverted_index.glycaemic | 125 |
| abstract_inverted_index.inversely | 113 |
| abstract_inverted_index.p=0.008), | 124 |
| abstract_inverted_index.p=0.009), | 120 |
| abstract_inverted_index.p=0.010), | 132 |
| abstract_inverted_index.potential | 187 |
| abstract_inverted_index.saturated | 141, 182 |
| abstract_inverted_index.surrogate | 18 |
| abstract_inverted_index.thickness | 11 |
| abstract_inverted_index.(β=0.004, | 138 |
| abstract_inverted_index.(β=0.012, | 142 |
| abstract_inverted_index.Randomised | 199 |
| abstract_inverted_index.associated | 114, 135, 169 |
| abstract_inverted_index.controlled | 43, 200 |
| abstract_inverted_index.management | 194 |
| abstract_inverted_index.medication | 161 |
| abstract_inverted_index.randomised | 42 |
| abstract_inverted_index.regression | 148 |
| abstract_inverted_index.screening, | 79 |
| abstract_inverted_index.suggesting | 185 |
| abstract_inverted_index.ultrasound | 15 |
| abstract_inverted_index.anticipated | 203 |
| abstract_inverted_index.consumption | 172 |
| abstract_inverted_index.medication, | 159 |
| abstract_inverted_index.Modification | 53 |
| abstract_inverted_index.antidiabetic | 69, 160 |
| abstract_inverted_index.associations | 3, 92, 207 |
| abstract_inverted_index.carbohydrate | 122 |
| abstract_inverted_index.multivariate | 147 |
| abstract_inverted_index.participants | 39, 62 |
| abstract_inverted_index.(β=−0.001, | 127 |
| abstract_inverted_index.(β=−0.004, | 123 |
| abstract_inverted_index.(β=−0.019, | 119 |
| abstract_inverted_index.(β=−0.126, | 131 |
| abstract_inverted_index.carbohydrates | 177 |
| abstract_inverted_index.significantly | 112, 168 |
| abstract_inverted_index.anthropometric | 103 |
| abstract_inverted_index.cardiovascular | 21, 83 |
| abstract_inverted_index.way.</p> | 49 |
| abstract_inverted_index.Cross-sectional | 32 |
| abstract_inverted_index.event.</p> | 84 |
| abstract_inverted_index.Canada.</p> | 59 |
| abstract_inverted_index.further.</p> | 208 |
| abstract_inverted_index.samples.</p> | 108 |
| abstract_inverted_index.diabetes.</p> | 30 |
| abstract_inverted_index.</strong>Lower | 165 |
| abstract_inverted_index.measures</strong> | 87 |
| abstract_inverted_index.<p><strong>Main | 85 |
| abstract_inverted_index.ultrasonographer.</p> | 163 |
| abstract_inverted_index.<p><strong>Conclusions | 164 |
| abstract_inverted_index.<p><strong>Design</strong> | 31 |
| abstract_inverted_index.<p><strong>Results</strong> | 109 |
| abstract_inverted_index.<p><strong>Setting</strong> | 50 |
| abstract_inverted_index.<p><strong>Objective</strong> | 0 |
| abstract_inverted_index.<p><strong>Participants</strong> | 60 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 21 |
| citation_normalized_percentile.value | 0.21588307 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |