| Literature DB >> 30242725 |
Abstract
PURPOSE OF REVIEW: It is estimated that over 400 million people worldwide are living with diabetes. Excess adiposity is the strongest risk factor for non-insulin-dependent diabetes, type 2. Lifestyle interventions have demonstrated that diet plays a critical role in preventing the onset of type 2 diabetes. Dietary fat is not only a source of energy and nutrients, but also bioactive fatty acids. The purpose of this review was to examine data from recent prospective cohort studies and dietary interventions to determine if there are benefits to fat consumption on diabetes risk. RECENTEntities:
Keywords: Diabetes; Dietary fat; Fat; Fatty acids; Monounsaturated fat; Polyunsaturated fat; Saturated fat; Trans-fat; Type 2 diabetes
Mesh:
Substances:
Year: 2018 PMID: 30242725 PMCID: PMC6244743 DOI: 10.1007/s13668-018-0244-z
Source DB: PubMed Journal: Curr Nutr Rep ISSN: 2161-3311
Prospective cohort studies published between 2008 and August 2018 that investigated the associations between dietary fat, fatty acids, and food sources of fat and risk for diabetes
| Reference | Region | Study objective | Population | Dietary assessment | Adjustments | Time | Results | Risk |
|---|---|---|---|---|---|---|---|---|
| Kaushik (2009) [ | USA | Investigate the association between dietary long-chain FA and incidence of T2D | 195,204 American adults, 24–78 years of age, from three prospective cohorts (Nurses’ Health Study (NHS), NHS 2, and the Health Professionals Follow-Up Study) | Validated FFQ | Smoking, alcohol consumption, physical activity, family history of diabetes, BMI, saturated fat, | 14–18 years | Highest quintile vs. lowest quintile of long-chain FA (RR = 1.24; 95% CI 1.09, 1.40) was associated with T2D. Association existed across all quintiles | ↑ |
| Brostow et al. (2011) [ | Singapore | Investigate the associations between total | 43,176 Chinese men and women living in Singapore, 45–74 years of age, free from diabetes at baseline, from the Singapore Chinese Health Study | Semi-quantitative FFQ | Fully adjusted model: age, sex, interview year, dialect, hypertensive status, smoking, alcohol frequency, education, BMI, physical activity, hypertension, dietary factors | 5.7 years | Highest quintile vs. lowest quintile of total | ↓ |
| EPA, DHA, | ↔ | |||||||
| Djoussé et al. (2011) [ | USA | Investigate the association between | 36,328 women, 54.6 year of age on average, free from diabetes at baseline, from the Women’s Health Study | Validated FFQ | Age, BMI, parental history of diabetes, smoking, exercise, alcohol, menopausal status, red meat intake, quintiles of energy intake, linoleic acid, α-linolenic acid, dietary magnesium, | 12.4 years | Highest quintile vs. lowest quintile of marine | ↑ |
| Plant-based | ↔ | |||||||
| Margolis et al. (2011) [ | USA | Investigate the association between low-fat dairy consumption and incident T2D | 82,076 multiethnic postmenopausal women 50–79 years of age, free from diabetes at baseline, from the Women’s Health Initiative Observational Study | Semi-quantitative FFQ | Age, race/ethnicity, total energy intake, income, education, smoking, alcohol consumption, use of postmenopausal hormone therapy, physical activity, family history of diabetes, BMI, blood pressure, dietary factors | 8 years | Highest quintile vs. lowest quintile of low-fat dairy consumption (RR = 0.65; 95% CI 0.44, 0.96) was inversely associated with risk of T2D | ↓ |
| High yogurt consumption (≥ 2×/week) (RR = 0.46; 95% CI 0.31, 0.68) was inversely associated with risk of T2D | ↓ | |||||||
| High-fat dairy consumption was not associated with risk of diabetes | ↔ | |||||||
| Villegas et al. (2011) [ | China | Investigate the associations between fish, shellfish, and long chain | 51,963 Chinese men and 64,193 Chinese women, 40–74 years of age, free from diabetes at baseline, from the Shanghai Men’s Health Study and the Shanghai Women’s Health Study | In-person interview using a validated FFQ | Age, energy intake, waist-to-hip ratio, BMI, smoking, alcohol consumption, physical activity, income level, educational level, occupation, family history of diabetes, hypertension, and dietary pattern | Approximately 5–10 years | Highest quintile vs. lowest quintile of shellfish (HR = 0.86; 95% CI 0.76, 0.99) and long-chain | ↓ |
| Alhazmi et al. (2013) [ | Australia | Investigate the association between macronutrient intake and T2D risk | 8370 Australian women, 45–50 years of age, free from diabetes at baseline, from the Australian Longitudinal Study of Women’s Health | Validated FFQ called the Dietary Questionnaire for Epidemiological Studies | Fully adjusted model: lifestyle, sociodemographic factors, other fat types, fiber, energy | 6 years | Highest quintile vs. lowest quintile of MUFA (RR = 1.64; 95% CI 1.06, 2.54), total | ↑ |
| No associations between total dietary carbohydrate, protein or fat with T2D | ↔ | |||||||
| Louie et al. (2013) [ | Australia | Investigate the associations between baseline consumption of dairy products and incidence of metabolic syndrome and T2D | 1807 (included in study of metabolic syndrome) and 1824 (included in study of T2D) Australian men and women 49 years of age and older, from the Blue Mountains Eye Study | Validated semi-quantitative FFQ | Fully adjusted model: age, sex, smoking status, physical activity, dietary glycemic load, fiber from vegetables, total energy intake, family history of T2D, systolic blood pressure, BMI, HDL-cholesterol, total cholesterol, triglyceride, calcium | 10 years | Highest quartile vs. lowest quartile of regular-fat dairy consumption (OR = 0.41; 95% CI 0.23, 0.71) was inversely associated with risk of metabolic syndrome | ↑ |
| Total dairy consumption was not associated with risk of metabolic syndrome or T2D | ↔ | |||||||
| Ericson et al. (2015) [ | Sweden | Investigate the associations between dietary fat and its food sources and T2D risk | 26,930 men and women, 45–74 years of age, free from diabetes at baseline, from the Malmö Diet and Cancer Cohort | Interview-based modified diet-history method that combined diet recall, FFQ, and dietary assessment interview | Energy, age, sex, method version, season, leisure time, physical activity, smoking, alcohol intake, education, BMI | 14 years | Highest quintile vs. lowest quintile of high-fat dairy consumption (HR = 0.77; 95% CI 0.68, 0.87) was inversely associated with incidence of T2D | ↓ |
| Highest quintile vs. lowest quintile of meat consumption was associated with increased risk for T2D (HR = 1.36; 95% CI 1.20, 1.55) | ↑ | |||||||
| Highest quintile vs. lowest quintile of saturated FA with 4–10 carbons (HR = 0.83; 95% CI 0.74, 0.93), lauric acid (12:0) (HR = 0.84; 95% CI 0.75, 0.95, and myristic acid (14:0) (HR = 0.83; 95% CI 0.74, 0.94) were associated with decreased risk for T2D | ↓ | |||||||
| Total dietary fat was not associated with T2D | ↔ | |||||||
| Guasch-Ferré et al. (2015) [ | USA | Investigate the association between olive oil consumption and incident T2D | 59,930 women 37–65 years of age, free from diabetes at baseline, from the Nurses’ Health Study (NHS) I and 85,157 women, 26–45 years of age, free from diabetes at baseline, from the NHS II | Validated FFQ | Ethnicity, ancestry, smoking status, alcohol, physical activity, family history of diabetes, history of hypertension, history of hypercholesterolemia, multivitamin use, postmenopausal status, menopausal hormone use, quintiles of Alternative Healthy Eating Index, total energy intake | 22 years | >1 tablespoon of olive oil (>8 g) per day vs. those who never consumed olive oil (HR = 0.90; 95% CI 0.82, 0.99) was inversely associated with risk for T2D | ↓ |
| Substituting 1 tablespoon olive oil per day for margarine, butter, or mayonnaise = 5%, 8%, and 15% lower risk of T2D, respectively | ↓ | |||||||
| Guasch-Ferré et al. (2017) [ | Spain | Investigate the associations between total fat, subtypes of dietary fat, and food sources rich in saturated FA and incidence of T2D | 3349 Spanish men, 55–80 years of age and Spanish women 60–80 years of age, free from diabetes at baseline, from the PREvención con DIeta MEDiterránea (PREDIMED) study | Validated semi-quantitative FFQ | Fully adjusted model: age, sex, BMI, smoking status, educational status, leisure-time physical activity, baseline hypertension or the use of antihypertensive medication, total energy intake, alcohol intake, quartiles of fiber, protein intake, dietary cholesterol, quartiles of the other subtypes of fat, hypercholesterolemia, lipid lowering drugs, fasting plasma glucose at baseline | 4.3 years | Highest quartile vs. lowest quartile of saturated and animal fat consumption (HR = 2.19: 95% CI 1.28, 3.73) were associated with risk for T2D | ↑ |
| Total dietary fat, MUFA, PUFA, | ↔ |
BMI body mass index, CI confidence interval, DHA docosahexaenoic acid, EPA eicosapentaenoic acid, FA fatty acid, FFQ food frequency questionnaire, HR hazard ratio, MUFA monounsaturated fatty acid, OR odds ratio, PUFA polyunsaturated fatty acid, RR relative risk, T2D type 2 diabetes
Prospective cohort studies published between 2008 and August 2018 that investigated the association between plasma and serum fatty acids and risk for diabetes
| Reference | Region | Study objective | Population | Adjustments | Time | Results | Risk |
|---|---|---|---|---|---|---|---|
| Patel et al. (2010) [ | England | Investigate the association between FA composition and development of incident diabetes | 199 cases of incident diabetes and 184 non-cases among men and women, 40–79 years of age, who resided in and around Norwich, England, from the European Prospective Investigation into Cancer and Nutrition – Norfolk study | Fully adjusted model: age, sex, BMI, family history of diabetes, physical activity, smoking status, alcohol intake | Baseline 1993–1997 | There were stronger associations with diabetes risk when FA were measured in plasma vs. erythrocytes or by FFQ. Plasma FA only are reported here | |
| Third tertile vs. first tertile of total SFA (OR = 2.57; 95% CI 1.42, 4.66), palmitic acid (16:0) (OR = 2.47; 95% CI 1.37, 4.46), and Δ9 – SCD2 (18:1 | ↑ | ||||||
| Third tertile vs. first tertile of stearic acid (18:0) (OR = 0.43; 95% CI 0.24, 0.79), vaccenic acid (18:1 | ↓ | ||||||
| Mozaffarian et al. (2010) [ | USA | Investigate whether circulating | 3736 men and women, 65 years of age and older, from the Cardiovascular Health Study | Age, sex, race, education, coronary heart disease, stroke, diabetes, smoking status, alcohol use, physical activity, BMI, dietary factors | 14 years | ↓ | |
| Fourth and highest quintiles vs. lowest quintile of | |||||||
| Djoussé et al. (2011) [ | USA | Investigate the association between plasma phospholipid | 3088 American men and women, 75 years of age on average, free from diabetes at baseline, from the Cardiovascular Health Study | Age, race, sex, clinic site, BMI, alcohol consumption, physical activity, smoking, linoleic acid, LDL-cholesterol | 10.6 years | Highest quartile vs. lowest quartile of plasma α-linolenic acid (RR = 0.57; 95% CI 0.36, 0.90) was inversely associated with T2D | ↓ |
| Mozaffarian et al. (2013) [ | USA | Investigate the associations between | 2617 multi-ethnic men and women, 45–84 years of age, free from diabetes at baseline, from the Multi-Ethnic Study of Atherosclerosis cohort | Age, race/ethnicity, education, clinic, smoking status, alcohol use, physical activity, waist circumference, BMI | 5 years | ↓ | |
| Highest quintile vs. lowest quintile of | |||||||
| Mahendran et al. (2013) [ | Finland | Cross-sectional and prospective studies (prospective pool only reported here) to investigate the associations between fasting serum glycerol and FA and predictors for worsening hyperglycemia and T2D | 4335 Finnish men (prospective pool only reported here), 57 years of age on average, free from diabetes at baseline from the Metabolic Syndrome in Men Study | Age, BMI, current smoking, physical activity | 4.5 years | Elevated glycerol (OR = 1.18, 95% CI 1.12, 1.24), FFA (OR = 1.19, 95% CI 1.10, 1.29), MUFA (OR = 1.09, 95% CI 1.06, 1.12), SFA, and monounsaturated | ↑ |
| ↓ | |||||||
| Santaren et al. (2014) [ | USA | Prospective and cross-sectional studies (prospective pool only reported here) to investigate the associations between pentadecanoic acid (15:0) and | 659 multi-ethnic men and women, 40–60 years of age, free from diabetes at baseline, from the Insulin Resistance Atherosclerosis Study | Fully adjusted model: age, sex, ethnicity, physical activity, total energy intake, total dairy intake, total hydrogenated food intake, BMI | 5 years | Serum pentadecanoic acid (15:0) (OR = 0.73; 95% CI 0.56, 0.95) was inversely associated with incident diabetes risk | ↓ |
| Serum | ↔ | ||||||
| Mahendran et al. (2014) [ | Finland | Investigate erythrocyte membrane fatty acids as predictors of worsening hyperglycemia and incident T2D | 1346 Finnish men 45–73 years of age free from diabetes at baseline from the Metabolic Syndrome in Men Study | Age, BMI, current smoking, physical activity | 5 years | Palmitoleic acid (16:1 | ↑ |
| Linoleic acid (18:2 | ↓ | ||||||
| Palmitoleic acid (16:1 | ↓ | ||||||
| ↔ | |||||||
| Virtanen et al. (2014) [ | Finland | Investigate the associations between serum n-3 PUFA, EPA, DPA, DHA, α-linolenic acid, hair mercury and risk of incident T2D | 2212 Finnish men, 42–60 years of age, free from T2D at baseline, from the Kuopio Ischaemic Heart Disease Risk Factor study | Fully adjusted model: age, examination year, BMI, family history of T2D, smoking, years of education, leisure-time physical activity, alcohol intake, serum linoleic acid | 19.3 years | Highest vs. lowest quartile of EPA + DPA + DHA (HR = 0.67; 95% CI 0.51, 0.87) had inverse association with risk for T2D | ↓ |
| Lemaitre et al. (2015) [ | USA | Investigate the association between plasma phospholipid very long-chain SFA (VLSFA) at baseline with subsequent incident diabetes | 3179 men and women, 75 years of age on average, free from diabetes at baseline, from the Cardiovascular Health Study | Age, sex, race, clinic, education, smoking, alcohol use, physical activity, treated hypertension, ischemic heart disease, self-reported health status, BMI, waist circumference | 18–19 years | Highest vs. lowest quartile of plasma concentration of arachidic acid (20:0) was associated with 32% lower risk for diabetes | ↓ |
| Ma et al. (2015) [ | USA | Investigate the association of circulating palmitic acid (16:0), stearic acid (18:0), oleic acid (18:1 | 3004 men and women, 74 years of age on average, free from diabetes at baseline, from the Cardiovascular Health Study | Age, sex, race, education, clinic, smoking status, alcohol consumption, leisure-time physical activity, prevalence of ischemic heart disease, hypertension at baseline, consumption of per cent energy from protein, per cent energy from carbohydrate, total energy | 18 years | Palmitic acid (16:0) (HR = 1.89. 95% CI 1.27, 2.83) and stearic acid (18:0) (HR = 1.62, 95% CI 1.08, 2.41 were associated with risk for diabetes | ↑ |
| Oleic acid (18:1 | ↔ | ||||||
| Lankinen et al. (2015) [ | Finland | Investigate fasting proportions of plasma fatty acids, estimated desaturases, and elongases as predictors for worsening glycasemia and incidence of T2D | 1364 Finnish men, 45–68 years of age, free from diabetes at baselines, from the Metabolic Syndrome in Men cohort | Age, BMI, smoking, physical activity at baseline, baseline fasting glucose | 5.9 years | Total SFA (P = 2.3 × 10−4), palmitoleic acid (16:1 | ↑ |
| PUFA, linoleic acid (18:2 | ↓ | ||||||
| Estimated D6D activity (HR = 1.52; 95% CI 1.21, 1.92) and dihomo-ϒ-linolenic acid (20:3 | ↑ | ||||||
| Steffan et al. (2015) [ | USA | Investigate the association between serum levels of non-esterified FA and risk of T2D as well as any interaction by | 5697 multi-ethnic men and women, 45–84 years of age, free from diabetes at baseline, from the multi-Ethnic Study of Atherosclerosis | Fully adjusted model: age, sex, race, education, field center, current smoking, current alcohol intake, plasma | 11.4 years | Highest quartile vs. lowest quartile of non-esterified FA (HR = 1.86; 95% CI 1.45, 2.38) was associated with incidence diabetes. Higher diabetes incidence was found across successive quartiles | ↑ |
| Higher diabetes incidence was observed for individuals with n-3 levels below the 75th percentile | ↑ | ||||||
| No associations were observed in those with n-3 FA ≥ 75th percentile | ↔ | ||||||
| Takkunen et al. (2016) [ | Finland | Investigate the associations between serum fatty acid composition and T2D, insulin secretion, and insulin sensitivity | 407 overweight men and women, 40–65 years of age, with impaired glucose tolerance at baseline, from the Finnish Diabetes Prevention Study | Age, sex, study group, study center, smoking, alcohol intake, waist circumference, physical activity at leisure | 11 years | 20:4 | ↓ |
| Yakoob et al. (2016) [ | USA | Investigate the associations between pentadecanoic acid (15:0), heptadecanoic acid (17:0), | 3333 men and women, 30–75 years of age, free from diabetes at baseline, from the Nurses’ Health Study and Health Professionals Follow-Up Study | Age, race, smoking status, physical activity, alcohol, family history of diabetes, parental history of MI, hypercholesterolemia, hypertension, menopausal status, postmenopausal hormone use, fruits, vegetables, fish, meats, whole grains, sugar-sweetened beverages, polyunsaturated fat, calcium, glycemic load, biomarker levels of | 15.2 years | Highest quartile vs. lowest quartile of plasma pentadecanoic acid (15:0) (HR = 0.56; 95% CI 0.39, 0.83), heptadecanoic acid (17:0) (HR = 0.57; 95% CI 0.38, 0.83), and | ↓ |
| Yary et al. (2016) [ | Finland | Investigate the associations between serum | 2189 men, 42–60 years of age, free from T2D at baseline, from the Kuopio Ischaemic Heart Disease Risk Factor Study | Fully adjusted model: age, examination year, family history of T2D, BMI, smoking, education, leisure-time physical activity, alcohol intake, energy, serum long chain | 19.3 years | Highest quartile vs. lowest quartile of estimated D5D activity (HR = 0.55; 95% CI 0.41, 0.74), total | ↓ |
| Higher concentrations of dihomo-ϒ-linolenic acid (20:3 | ↑ | ||||||
| Howard et al. (2018) [ | USA | Randomized, parallel design: decreased-fat, increased vegetable, fruit, and grain vs. comparison diet | 48,835 postmenopausal women from the Women’s Health Initiative dietary intervention | 8.1 years | Decreased-fat, increased vegetable, fruit, and grain group had lower rates of initiation of insulin therapy during the intervention (HR = 0.74; 95% CI 0.59, 0.94) and follow-up (HR = 0.88; 95% CI 0.78, 0.99) | ↓ | |
| In subgroup analysis of biomarkers, the intervention reduced the risk of developing glucose ≥ 100 mg/dL (OR = 0.75; 95% CI 0.61, 0.93) |
BMI body mass index, CI confidence interval, DHA docosahexaenoic acid, DPA docopentaenoic acid, EPA eicosapentaenoic acid, FA fatty acid, FFQ food frequency questionnaire, HR hazard ratio, OR odds ratio, PUFA polyunsaturated fatty acid, RR relative risk, SCD stearoul-CoA desaturase, SFA saturated fatty acid, T2D type 2 diabetes