Dairy Consumption and Risk of Stroke in Swedish Women and Men Susanna C. Larsson, PhD; Jarmo Virtamo, MD; Alicja Wolk, DMSc Downloaded from http://stroke.ahajournals.org/ by guest on July 31, 2017 Background and Purpose—Epidemiological studies of the associations of low-fat dairy and specific dairy food consumption with risk of stroke are sparse. Our aim was to examine the association between consumption of total, low-fat, full-fat, and specific dairy foods and risk of stroke in a prospective cohort study. Methods—We followed 74 961 Swedish women and men who were free from cardiovascular disease and cancer and who completed a 96-item food frequency questionnaire in 1997. Incident cases of stroke were ascertained from the Swedish Hospital Discharge Registry. Results—During a mean follow-up of 10.2 years, we ascertained 4089 cases of stroke, including 3159 cerebral infarctions, 583 hemorrhagic strokes, and 347 unspecified strokes. Consumption of low-fat dairy foods was inversely associated with risk of total stroke (P for trend⫽0.03) and cerebral infarction (P for trend⫽0.03). The multivariable relative risks for the highest compared with the lowest quintile of low-fat dairy consumption were 0.88 (95% CI, 0.80 – 0.97) for total stroke and 0.87 (95% CI, 0.78 – 0.98) for cerebral infarction. Consumption of total dairy, full-fat dairy, milk, sour milk/yogurt, cheese, and cream/crème fraiche was not associated with stroke risk. Conclusions—These results suggest that low-fat dairy consumption is inversely associated with the risk of stroke. (Stroke. 2012;43:00-00.) Key Words: dairy 䡲 diet 䡲 epidemiology 䡲 milk 䡲 prospective studies 䡲 stroke H igh blood pressure is a major controllable risk factor for stroke.1 Approximately one third of US adults aged ⱖ18 years has hypertension and only approximately half of all hypertensives have their blood pressure under control.2 A diet rich in low-fat dairy foods has been recommended to prevent and reduce hypertension on the basis of strong evidence.3 Low-fat dairy is 1 of the components of the Dietary Approaches to Stop Hypertension (DASH) diet, which has been demonstrated to considerably reduce blood pressure.4 Dairy consumption has also been inversely associated with the metabolic syndrome in observational studies.5,6 To date, only 1 study has examined the association between consumption of low-fat dairy foods and risk of stroke and that study found a nonsignificant inverse association in women.7 In fact, epidemiological data on total dairy and specific dairy foods besides milk in relation to stroke risk are very sparse, and findings are inconsistent.7–9 We therefore examined the association between consumption of total, low-fat, and full-fat dairy foods as well as specific dairy foods and risk of stroke in a large population-based prospective study of Swedish women and men. studies have been described elsewhere.10,11 Briefly, in the Fall of 1997, 39 227 women and 48 850 men who resided in central Sweden (Uppsala, Västmanland, and Örebro counties) completed a 350-item questionnaire about diet and other lifestyle factors. For the current analyses, we excluded participants with an incorrect or a missing National Registration Number, those with very low or high total energy intake (ie, 3 SDs from the loge-transformed mean energy intake; ⬍579 kcal/day and ⬎4664 kcal/day in women and ⬍864 kcal/day and ⬎7277 kcal/day in men), and those with a history of stroke, coronary heart disease, or cancer at baseline. After exclusions, 74 961 participants (34 670 women and 40 291 men), aged 45 to 83 years, remained for analysis. The study was approved by the Regional Ethics Committee at the Karolinska Institutet in Stockholm, Sweden. Baseline Data Collection The questionnaire included questions about education, weight, height, smoking, physical activity, aspirin use, history of hypertension and diabetes, family history of myocardial infarction before 60 years, alcohol consumption, and diet. Pack-years of smoking history were calculated as the number of packs of cigarettes smoked per day multiplied by the number of years of smoking. Body mass index was calculated by dividing the weight in kilograms by the square of height in meters. Participants reported their level of activity at work, home/housework, walking/bicycling, and exercise in the year before study enrollment. The questionnaire also included questions on inactivity (watching TV/reading) and hours per day of sleeping and sitting/lying down. The time per day reported by the subject to have engaged in each activity as well as inactivity such as watching TV Methods Study Population The Swedish Mammography Cohort and the Cohort of Swedish Men provided data for the present analyses. Details about these cohort Received October 14, 2011; final revision received February 23, 2012; accepted February 24, 2012. From the Division of Nutritional Epidemiology (S.C.L., A.W.), National Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; and the Department of Chronic Disease Prevention (J.V.), National Institute for Health and Welfare, Helsinki, Finland. Correspondence to Susanna C. Larsson, PhD, Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Box 210, SE-17177 Stockholm, Sweden. E-mail [email protected] © 2012 American Heart Association, Inc. Stroke is available at http://stroke.ahajournals.org DOI: 10.1161/STROKEAHA.111.641944 1 2 Stroke July 2012 was multiplied by the activity’s typical energy expenditure requirement expressed in metabolic equivalents. The metabolic equivalenthours for all of the individual activities reported by the subject were then added together to create a metabolic equivalent-hours per day (24-hour) score.12 Dietary Assessment Downloaded from http://stroke.ahajournals.org/ by guest on July 31, 2017 Intake of dairy foods was assessed using a self-administered food frequency questionnaire on which participants reported their average frequency of consumption of 96 foods and beverages during the past year. For most food items, 8 categories for frequency of consumption were provided, ranging from never to ⱖ3 times per day. For some commonly consumed foods such as milk, sour milk/yogurt, and cheese, participants could fill in the exact number of servings they consumed per day or week. Dairy foods included low-fat milk (0.5% fat), medium-fat milk (1.5% fat), full-fat milk (3% fat), milk in pancakes, low-fat sour milk/yogurt (0.5% fat), full-fat sour milk/ yogurt (3% fat), cottage cheese (4% fat), low-fat cheese (10%–17% fat), full-fat cheese (approximately 28% fat), ice cream, cream, and crème fraiche. Depending on age and sex, portion sizes for different dairy foods were: milk, 87 to 149 g for women and 153 to 261 g for men; sour milk/yogurt, 184 to 218 g for women and 185 to 343 g for men; cheese (excluding cottage cheese), 17 to 24 g for women and 18 to 28 g for men; and cream and cream fraiche, 19 to 23 g for women and 29 to 43 g for men. In a validation study of a previous food frequency questionnaire, the Pearson correlation coefficients for dairy foods between the food frequency questionnaire and 4 1-week diet records (completed 3– 4 months apart) ranged from 0.4 for cheese to 0.7 for sour milk/yogurt (A. Wolk, unpublished data). Ascertainment of Stroke Cases Incident cases of first stroke were ascertained by linkage of the study population with the Swedish Hospital Discharge Registry, which provides nearly complete coverage of the discharges. The strokes were classified as cerebral infarction (International Classification of Diseases 10th Revision code I63), intracerebral hemorrhage (I61), subarachnoid hemorrhage (I60), and unspecified stroke (I64). Information on dates of death for participants who died was obtained from the Swedish Death Register. Statistical Analysis Person-time of follow-up for each participant was computed from January 1, 1998, until the date of the first stroke event, death, or end of follow-up (December 31, 2008), whichever came first. Participants were grouped into quintiles of dairy food consumption based on the distribution in the cohort. We used Cox proportional hazards regression models to estimate relative risks (RRs) with 95% CIs of total stroke, cerebral infarction, and hemorrhagic stroke. Because separate analyses for women and men showed similar patterns of association (P for interaction by sex ⬎0.16 for total dairy, low-fat and full-fat dairy, and each dairy food), we present results for women and men combined with adjustment for sex as a stratum variable in the Cox model to allow for different baseline hazard rates. All analyses were also controlled for age (in months) as a stratum variable. In multivariable models, we further adjusted for smoking status and pack-years of smoking (never; past ⬍20, 20 –39, or ⱖ40 pack-years; or current ⬍20, 20 –39, or ⱖ40 pack-years), education (less than high school, high school, or university), body mass index (⬍20, 20 –24.9, 25–29.9, or ⱖ30 kg/m2), total physical activity (metabolic equivalent-hours/day, quintiles), aspirin use (never, 1– 6 tablets/week, ⱖ7 tablets/week), history of hypertension (yes or no), history of diabetes (yes or nor), family history of myocardial infarction before 60 years of age (yes or no), intakes of total energy (kcal/day, continuous variable), and quintiles of alcohol, coffee, fresh red meat, processed meat, fish, fruits, and vegetables. We tested the proportional hazard assumption and found no departure from this assumption for the exposures. Tests for trends were performed by assigning the median value for each quintile and modeling this variable as a continuous variable. We conducted analyses stratified by history of hypertension, obesity, and diabetes. Test for interaction was conducted by using the likelihood ratio test. In a sensitivity analysis, we removed history of hypertension from the multivariable model because hypertension is a potential intermediate of the association between dairy consumption and stroke risk. We also repeated the analyses after excluding the first 2 years of follow-up. The analyses were conducted with SAS Version 9.2 (SAS Institute, Cary, NC). All statistical tests were 2-sided. Probability values ⬍0.05 were considered statistically significant. Results During a mean follow-up of 10.2 years, we ascertained 4089 stroke cases (1680 in women and 2409 in men), including 3159 cerebral infarctions, 583 hemorrhagic strokes, and 347 unspecified strokes. Baseline characteristics of the study population by total dairy food consumption are presented in Table 1. Compared with women and men with low dairy food consumption, those with high consumption were slightly less likely to have a history of hypertension and had, on average, a higher total energy intake and consumed more coffee and red meat. Other characteristics did not vary appreciably across categories of dairy food consumption. The association between dairy foods and risk of total stroke and stroke subtypes are shown in Table 2. Low-fat dairy food consumption was statistically significantly inversely associated with risk of total stroke and cerebral infarction. Compared with women and men in the lowest quintile of low-fat dairy food consumption, those in the highest quintile had a 12% (95% CI, 3%–20%) lower risk of total stroke, and a 13% (95% CI, 2%–22%) lower risk of cerebral infarction. The results persisted when we excluded the first 2 years of follow-up (total stroke: RR, 0.89; 95% CI, 0.80 – 0.99, for highest versus lowest quintile) and did not change when we removed history of hypertension (a potential intermediate) from the model. In multivariable model, no statistically significant inverse association was observed between total dairy, full-fat dairy, total milk, sour milk/yogurt, cheese, or cream/crème fraiche and risk of total stroke, cerebral infarction, or hemorrhagic stroke. None of the low-fat dairy items were statistically significantly associated with risk of stroke. Low-fat dairy food consumption was positively correlated with minerals and vitamins found in dairy foods such as calcium (Spearman r⫽0.48), potassium (r⫽0.36), magnesium (r⫽0.32), and vitamin D (r⫽0.40). After adding calcium intake to the multivariable model, the RR of total stroke for the highest versus the lowest quintile of low-fat dairy food consumption was 0.81 (95% CI, 0.71– 0.92). Further adjustment for dietary potassium, magnesium, and vitamin D did not change the results materially (corresponding RR, 0.80; 95% CI, 0.70 – 0.92). The relation between low-fat dairy food consumption and total stroke was not modified by history of hypertension (P for interaction⫽0.52), obesity (P for interaction⫽0.37), or diabetes (P for interaction⫽0.50). Discussion In this large prospective cohort study, low-fat dairy consumption was inversely associated with risk of total stroke and cerebral infarction. Low-fat dairy food consumption showed a dose–response relation with the risk of cerebral infarction, whereas it seemed to be a threshold effect for total stroke. We observed no association between consumption of total dairy, Larsson et al Table 1. Dairy Foods and Stroke 3 Baseline Characteristics According to Total Dairy Food Consumption* Total Dairy, Servings/D Characteristic ⬍3.1 (n⫽15 090) 3.1– 4.2 (n⫽15 029) 4.3–5.5 (n⫽15 246) 5.6 –7.4 (n⫽15 107) ⱖ7.5 (n⫽14 489) Age, y 59.6 60.3 60.8 60.9 59.9 Sex, % men 51.8 48.5 51.4 56.0 61.5 Postsecondary education, % 16.9 18.6 19.2 19.0 17.9 Current smoker, % 27.7 23.4 22.6 23.3 25.2 Body mass index, kg/m2 25.5 25.3 25.3 25.3 25.5 Total physical activity, MET-h/d† 41.7 41.8 42.0 42.3 42.7 History of hypertension, % 19.9 22.3 21.1 20.6 20.2 History of diabetes, % 6.7 5.7 5.6 5.5 6.5 Family history of MI, % 16.1 15.9 14.9 15.0 15.1 6.7 6.7 6.8 6.7 6.7 Aspirin use, ⱖ7 tablets/wk, % Dietary variables Downloaded from http://stroke.ahajournals.org/ by guest on July 31, 2017 Total energy, kcal/d 1709 1945 2173 2451 3013 Alcohol, g/d 7.8 7.5 7.6 7.6 7.5 Coffee, cups/d 2.8 3.0 3.1 3.3 3.6 Fresh red meat, g/d 48.8 48.5 50.2 52.3 54.8 Processed meat, g/d 32.4 33.9 35.4 36.7 38.2 Fish, servings/d 0.3 0.3 0.3 0.3 0.3 Fruits, servings/d 1.6 1.7 1.8 1.8 1.8 Vegetables, servings/d 2.6 2.7 2.8 2.8 2.8 MET indicates metabolic equivalent; MI, myocardial infarction. *All values (except age) were standardized to the age distribution of the study population in 1997. Total dairy included low-fat milk, medium-fat milk, full-fat milk, milk in pancakes, low-fat sour milk/yogurt, full-fat sour milk/yogurt, low-fat cheese, full-fat cheese, cottage cheese, ice cream, cream, and crème fraiche. †Total activity (MET-h/d) includes activity at work, home/housework, walking/bicycling, and exercise as well as take into account inactivity (watching TV/reading), and hours per d of sleeping and sitting/lying down. full-fat dairy, sour milk/yogurt, cheese, or cream/crème fraiche and stroke risk. The observed reduction in risk of stroke associated with high consumption of low-fat dairy foods may be mediated through a reduction in blood pressure. Studies in humans and hypertensive rats show that intake of fermented milk or milk protein-derived peptides can have significant hypotensive effects.13 A randomized double-blind crossover trial among 352 adults with prehypertension or Stage 1 hypertension showed that compared with carbohydrate controls, milk protein supplementation was associated with a statistically significant 2.3 mm Hg (⫺3.7 to ⫺1.0 mm Hg; P⫽0.0007) net change in systolic blood pressure.14 Results from another randomized trial among 70 white subjects showed that daily consumption of 2 capsules containing isoleucine–proline– proline-rich milk protein hydrolysates (7.5 mg isoleucine– proline–proline per capsule) lowered systolic blood pressure by 3.8 mm Hg (P⫽0.008) and diastolic blood pressure by 2.3 mm Hg (P⫽0.007) compared with placebo (containing cellulose) in subjects with Stage 1 hypertension.15 A metaanalysis of 5 cohort studies involving nearly 45 000 participants and 11 500 cases with elevated blood pressure showed a statistically significant 13% lower risk of elevated blood pressure associated with high consumption of dairy foods (RR, 0.87; 95% CI, 0.81– 0.94).16 Separation of high- and low-fat dairy foods indicated an inverse association with low-fat dairy foods only (RR, 0.84; 95% CI, 0.74 – 0.95).16 That finding is consistent with results from our study showing an inverse association between consumption of low-fat dairy but not full-fat dairy and stroke risk. Low-fat dairy foods are fortified with vitamin D in Sweden. We have observed that consumption of low-fat dairy foods is an important predictor of serum concentrations of 25-hydroxyvitamin D during winter among women in the Swedish Mammography Cohort.17 Results from a meta-analysis indicated that blood 25-hydroxyvitamin D concentration is inversely associated with hypertension,18 which is a strong risk factor for stroke. Hence, it is possible that vitamin D in low-fat dairy, at least in part, may explain the observed inverse association between low-fat dairy and risk of stroke in the present study. Full-fat dairy foods may counteract a potential beneficial effect of dairy consumption on stroke by increasing total and low-density lipoprotein cholesterol concentrations. In fact, findings from randomized control trials of parallel or crossover design indicated that replacement of saturated fat derived from full-fat dairy foods with low-fat dairy lowers low-density lipoprotein/high-density lipoprotein cholesterol and total/high-density lipoprotein cholesterol ratios.19 It has been suggested that a very low intake of saturated fat increases the risk of intraparenchymal hemorrhage.20 Full-fat dairy is a source of both saturated fat and thus may be 4 Stroke Table 2. July 2012 Relative Risks of Stroke by Quintiles of Dairy Food Consumption in 74 961 Swedish Women and Men, 1998 –2008 Total Stroke Cerebral Infarction Hemorrhagic Stroke Servings/D (Median) No. of Cases Person-Y RR (95% CI)* RR (95% CI)† No. of Cases RR (95% CI)† No. of Cases RR (95% CI)† Q1 2.3 822 153 907 1.00 1.00 620 1.00 122 1.00 Q2 3.7 757 154 422 0.85 (0.77–0.93) 0.88 (0.79–0.97) 589 0.90 (0.80–1.01) 94 0.74 (0.56–0.98) Q3 5.0 877 156 066 0.92 (0.83–1.01) 0.96 (0.86–1.06) 692 1.01 (0.90–1.14) 117 0.86 (0.65–1.12) Q4 6.4 858 154 056 0.89 (0.81–0.98) 0.93 (0.84–1.04) 684 0.98 (0.87–1.11) 114 0.84 (0.63–1.12) Q5 9.3 775 148 201 0.89 (0.80–0.98) 0.91 (0.80–1.03) 574 0.91 (0.79–1.05) 136 1.03 (0.75–1.42) 0.12 0.41 Dairy by Quintile Total dairy P for trend 0.48 0.45 Low-fat dairy‡ Downloaded from http://stroke.ahajournals.org/ by guest on July 31, 2017 Q1 0 1179 181 226 1.00 1.00 908 1.00 167 1.00 Q2 0.4 511 122 527 0.90 (0.81–1.00) 0.91 (0.82–1.02) 403 0.94 (0.83–1.06) 73 0.87 (0.65–1.16) Q3 1.0 815 165 681 0.90 (0.83–0.99) 0.92 (0.84–1.02) 625 0.92 (0.82–1.02) 114 0.91 (0.71–1.17) Q4 2.0 768 141 220 0.92 (0.84–1.00) 0.91 (0.82–1.00) 595 0.90 (0.81–1.00) 110 0.97 (0.75–1.24) Q5 4.0 816 155 999 0.91 (0.83–0.99) 0.88 (0.80–0.97) 628 0.87 (0.78–0.98) 119 0.96 (0.74–1.25) 0.14 0.03 P for trend 0.03 0.93 Full-fat dairy§ Q1 0.8 783 157 329 1.00 1.00 600 1.00 111 1.00 Q2 2.2 805 155 120 0.94 (0.85–1.04) 0.98 (0.88–1.08) 616 0.98 (0.87–1.11) 114 0.96 (0.73–1.26) Q3 3.2 831 152 692 0.92 (0.83–1.02) 0.97 (0.87–1.07) 649 1.00 (0.88–1.12) 112 0.90 (0.68–1.19) Q4 4.5 872 153 069 0.94 (0.85–1.04) 0.97 (0.87–1.08) 691 1.04 (0.92–1.17) 112 0.81 (0.61–1.09) Q5 7.0 798 148 443 0.92 (0.83–1.01) 0.94 (0.83–1.07) 603 0.97 (0.84–1.12) 134 0.99 (0.72–1.37) 0.15 0.46 P for trend 0.91 0.90 Milk㛳 Q1 0.1 879 149 437 1.00 1.00 674 1.00 132 1.00 Q2 0.3 768 148 072 0.93 (0.85–1.03) 0.94 (0.85–1.04) 598 0.95 (0.85–1.06) 105 0.89 (0.69–1.16) Q3 1.1 619 137 812 0.86 (0.78–0.96) 0.89 (0.80–0.99) 471 0.88 (0.77–0.99) 82 0.80 (0.60–1.07) Q4 1.9 903 168 980 0.94 (0.85–1.03) 0.95 (0.86–1.04) 700 0.94 (0.84–1.06) 125 0.94 (0.73–1.22) Q5 3.1 920 162 351 0.92 (0.84–1.01) 0.90 (0.82–1.00) 716 0.90 (0.80–1.00) 139 0.99 (0.76–1.27) 0.27 0.12 234 685 1.00 1.00 1064 1.00 209 1.00 0.77 (0.56–1.07) P for trend 0.13 0.76 Sour milk and yogurt Q1 0 1395 Q2 0.3 346 82 339 0.90 (0.80–1.02) 0.95 (0.84–1.07) 272 0.98 (0.86–1.13) 46 Q3 0.6 632 124 429 0.98 (0.89–1.08) 1.05 (0.95–1.16) 476 1.04 (0.93–1.17) 96 1.02 (0.79–1.32) Q4 1.0 929 176 608 0.92 (0.84–1.00) 1.02 (0.93–1.11) 731 1.05 (0.95–1.16) 113 0.82 (0.64–1.04) Q5 2.0 787 148 592 0.90 (0.83–0.98) 0.98 (0.90–1.08) 616 1.02 (0.92–1.14) 119 0.92 (0.72–1.17) 0.03 0.99 P for trend 0.54 0.48 Cheese¶ Q1 0.4 706 127 058 1.00 1.00 527 1.00 109 1.00 Q2 1.1 594 114 757 0.89 (0.80–1.00) 0.94 (0.84–1.05) 461 0.99 (0.87–1.12) 82 0.82 (0.61–1.09) Q3 2.0 1158 208 090 0.87 (0.79–0.96) 0.93 (0.85–1.03) 921 1.00 (0.90–1.12) 136 0.71 (0.54–0.92) Q4 3.0 491 83 432 0.87 (0.77–0.97) 0.95 (0.84–1.07) 382 1.00 (0.87–1.14) 67 0.84 (0.61–1.15) Q5 5.0 1140 233 315 0.86 (0.78–0.94) 0.91 (0.81–1.01) 868 0.95 (0.84–1.08) 189 0.87 (0.66–1.14) 0.02 0.11 P for trend 0.34 0.90 (Continued) Larsson et al Table 2. Dairy Foods and Stroke 5 Continued Total Stroke Dairy by Quintile Servings/D (Median) Cerebral Infarction Hemorrhagic Stroke No. of Cases Person-Y RR (95% CI)* RR (95% CI)† No. of Cases RR (95% CI)† No. of Cases RR (95% CI)† Cream and crème fraiche Q1 0 985 129 575 1.00 1.00 766 1.00 128 1.00 Q2 0.07 928 163 057 0.92 (0.84–1.01) 0.96 (0.87–1.06) 713 0.95 (0.85–1.06) 142 1.01 (0.79–1.30) Q3 0.13 723 180 259 0.84 (0.76–0.93) 0.94 (0.84–1.04) 541 0.91 (0.81–1.03) 102 0.83 (0.62–1.10) Q4 0.28 871 184 813 0.83 (0.75–0.91) 0.92 (0.83–1.01) 678 0.93 (0.83–1.04) 127 0.90 (0.69–1.17) Q5 0.50 582 108 948 0.90 (0.81–1.00) 1.00 (0.89–1.12) 461 1.05 (0.92–1.19) 84 0.93 (0.69–1.25) 0.02 0.89 P for trend 0.39 0.53 Downloaded from http://stroke.ahajournals.org/ by guest on July 31, 2017 RR indicates relative risk; Q, quintile. *Adjusted for age and sex. †Adjusted for age, sex, smoking status, and pack-y of smoking, education, body mass index, total physical activity, aspirin use, history of hypertension, diabetes, family history of myocardial infarction, and intakes of total energy, alcohol, coffee, fresh red meat, processed meat, fish, fruits, and vegetables. Low-fat dairy and full-fat dairy were mutually adjusted by including both variables in the same multivariable model. Similarly, the individual dairy foods, including milk, sour milk/yogurt, cheese, and cream/crème fraiche, were mutually adjusted. Total dairy is not adjusted for individual dairy foods. ‡Low-fat milk, medium-fat milk, low-fat sour milk or yogurt, cottage cheese, and low-fat cheese. §Full-fat milk, full-fat sour milk or yogurt, full-fat cheese, ice cream, cream, and crème fraiche. 㛳Low-fat milk, medium-fat milk, full-fat milk, and milk in pancakes. ¶Low-fat cheese and full-fat cheese. associated with intraparenchymal hemorrhage. We observed no association between full-fat dairy food consumption and risk of total hemorrhagic stroke or intraparenchymal hemorrhage (data not shown) in the present study. Only 1 study has to our knowledge examined the association between low-fat dairy and risk of stroke. In that Dutch cohort study with 10 years of follow-up and 520 and 322 deaths of stroke in men and women, respectively, consumption of low-fat dairy foods was nonsignificantly inversely associated with stroke mortality in women (per 100-g/day increase: RR, 0.94; 95% CI, 0.88 –1.01) but not in men (RR, 1.01; 95% CI, 0.95–1.08).7 Total and low-fat dairy consumption was slightly lower in the Dutch cohort7 than in the current study, and dairy was analyzed in grams per day. Previous studies of total dairy and/or specific dairy foods in relation to stroke incidence or mortality have yielded inconsistent results. Total dairy food consumption was inversely associated with risk of stroke in a Japanese cohort21 but not in a cohort of Finnish men9 or in Dutch men and women.7 With regard to milk, a recent meta-analysis found no significant association between total milk consumption and stroke risk (RR, 0.87; 95% CI, 0.72–1.07, per 200-mL/ day increase).22 Among 3 studies that assessed cheese consumption in relation to stroke risk, a statistically significant inverse association was observed in 1 study8 but not in the 2 other studies.7,9 The reason for the inconsistent results is unclear but may be related to the small number of stroke cases in some previous studies,7,23–25 leading to unstable risk estimates. Furthermore, differences in the amount and type of dairy food consumed in different populations may in part account for the inconsistent findings. Populations in the northern parts of Europe and North America have traditionally consumed much more dairy foods than other populations. Sweden is among the top 5 countries in the world with the highest per-capita consumption of dairy foods. Particularly cheese and sour milk/yogurt consumption is high in the Swedish population.26 In Sweden, dairy foods are consumed as a side dish. Cheese is usually consumed sliced on sandwiches and sour milk is often consumed with cereals. Our study has several strengths, including its populationbased and prospective design, the large sample size (largest study to date on dairy foods and stroke), the detailed data on diet, and the completeness of case ascertainment through linkage to Swedish registries. The prospective design eliminates recall bias and the virtually complete follow-up minimized the likelihood that our findings have been affected by bias due to differential follow-up. A limitation is that only baseline data were used and participants may have changed dairy food consumption during follow-up leading to attenuated risk estimates. Although we controlled for the most important known risk factors for stroke, we cannot exclude the possibility that the observed inverse association between low-fat dairy foods and stroke is due to unknown confounders or residual confounding. The similar results in age- and sex-adjusted and in multivariable models argue against residual confounding. In summary, findings from this large study suggest that low-fat dairy food consumption is inversely associated with risk of stroke. Further large prospective studies of low-fat dairy foods in relation to stroke are needed to establish a potential association. Sources of Funding This study was supported by a research grant from the Swedish Council for Working Life and Social Research (FAS), the Swedish Research Council, and by a Research Fellow grant from Karolinska Institutet (to Dr Larsson). 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