@article {6769, title = {Contribution of Major Lifestyle Risk Factors for Incident Heart Failure in Older Adults: The Cardiovascular Health Study.}, journal = {JACC Heart Fail}, volume = {3}, year = {2015}, month = {2015 Jul}, pages = {520-8}, abstract = {

OBJECTIVES: The goal of this study was to determine the relative contribution of major lifestyle factors on the development of heart failure (HF) in older adults.

BACKGROUND: HF incurs high morbidity, mortality, and health care costs among adults >=65 years of age, which is the most rapidly growing segment of the U.S.

METHODS: We prospectively investigated separate and combined associations of lifestyle risk factors with incident HF (1,380 cases) over 21.5 years among 4,490 men and women in the Cardiovascular Health Study, which is a community-based cohort of older adults. Lifestyle factors included 4 dietary patterns (Alternative Healthy Eating Index, Dietary Approaches to Stop Hypertension, an American Heart Association 2020 dietary goals score, and a Biologic pattern, which was constructed using previous knowledge of cardiovascular disease dietary risk factors), 4 physical activity metrics (exercise intensity, walking pace, energy expended in leisure activity, and walking distance), alcohol intake, smoking, and obesity.

RESULTS: No dietary pattern was associated with developing HF (p > 0.05). Walking pace and leisure activity were associated with a 26\% and 22\% lower risk of HF, respectively (pace >3 mph vs. <2 mph; hazard ratio [HR]: 0.74; 95\% confidence interval [CI]: 0.63 to 0.86; leisure activity >=845 kcal/week vs. <845 kcal/week; HR: 0.78; 95\% CI: 0.69 to 0.87). Modest alcohol intake, maintaining a body mass index <30 kg/m(2), and not smoking were also independently associated with a lower risk of HF. Participants with >=4 healthy lifestyle factors had a 45\% (HR: 0.55; 95\% CI: 0.42 to 0.74) lower risk of HF. Heterogeneity by age, sex, cardiovascular disease, hypertension medication use, and diabetes was not observed.

CONCLUSIONS: Among older U.S. adults, physical activity, modest alcohol intake, avoiding obesity, and not smoking, but not dietary patterns, were associated with a lower risk of HF.

}, keywords = {Aged, Alcohol Drinking, Cohort Studies, Diet, Female, Heart Failure, Humans, Incidence, Male, Motor Activity, Obesity, Proportional Hazards Models, Prospective Studies, Risk Factors, Sedentary Lifestyle, Smoking, United States}, issn = {2213-1787}, doi = {10.1016/j.jchf.2015.02.009}, author = {Del Gobbo, Liana C and Kalantarian, Shadi and Imamura, Fumiaki and Lemaitre, Rozenn and Siscovick, David S and Psaty, Bruce M and Mozaffarian, Dariush} } @article {8041, title = {Fatty acid biomarkers of dairy fat consumption and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies.}, journal = {PLoS Med}, volume = {15}, year = {2018}, month = {2018 10}, pages = {e1002670}, abstract = {

BACKGROUND: We aimed to investigate prospective associations of circulating or adipose tissue odd-chain fatty acids 15:0 and 17:0 and trans-palmitoleic acid, t16:1n-7, as potential biomarkers of dairy fat intake, with incident type 2 diabetes (T2D).

METHODS AND FINDINGS: Sixteen prospective cohorts from 12 countries (7 from the United States, 7 from Europe, 1 from Australia, 1 from Taiwan) performed new harmonised individual-level analysis for the prospective associations according to a standardised plan. In total, 63,682 participants with a broad range of baseline ages and BMIs and 15,180 incident cases of T2D over the average of 9 years of follow-up were evaluated. Study-specific results were pooled using inverse-variance-weighted meta-analysis. Prespecified interactions by age, sex, BMI, and race/ethnicity were explored in each cohort and were meta-analysed. Potential heterogeneity by cohort-specific characteristics (regions, lipid compartments used for fatty acid assays) was assessed with metaregression. After adjustment for potential confounders, including measures of adiposity (BMI, waist circumference) and lipogenesis (levels of palmitate, triglycerides), higher levels of 15:0, 17:0, and t16:1n-7 were associated with lower incidence of T2D. In the most adjusted model, the hazard ratio (95\% CI) for incident T2D per cohort-specific 10th to 90th percentile range of 15:0 was 0.80 (0.73-0.87); of 17:0, 0.65 (0.59-0.72); of t16:1n7, 0.82 (0.70-0.96); and of their sum, 0.71 (0.63-0.79). In exploratory analyses, similar associations for 15:0, 17:0, and the sum of all three fatty acids were present in both genders but stronger in women than in men (pinteraction < 0.001). Whereas studying associations with biomarkers has several advantages, as limitations, the biomarkers do not distinguish between different food sources of dairy fat (e.g., cheese, yogurt, milk), and residual confounding by unmeasured or imprecisely measured confounders may exist.

CONCLUSIONS: In a large meta-analysis that pooled the findings from 16 prospective cohort studies, higher levels of 15:0, 17:0, and t16:1n-7 were associated with a lower risk of T2D.

}, keywords = {Aged, Australia, Biomarkers, Dairy Products, Diabetes Mellitus, Type 2, Dietary Fats, Europe, Fatty Acids, Fatty Acids, Monounsaturated, Female, Humans, Incidence, Male, Middle Aged, Prospective Studies, Sex Factors, Taiwan, United States}, issn = {1549-1676}, doi = {10.1371/journal.pmed.1002670}, author = {Imamura, Fumiaki and Fretts, Amanda and Marklund, Matti and Ardisson Korat, Andres V and Yang, Wei-Sin and Lankinen, Maria and Qureshi, Waqas and Helmer, Catherine and Chen, Tzu-An and Wong, Kerry and Bassett, Julie K and Murphy, Rachel and Tintle, Nathan and Yu, Chaoyu Ian and Brouwer, Ingeborg A and Chien, Kuo-Liong and Frazier-Wood, Alexis C and Del Gobbo, Liana C and Djouss{\'e}, Luc and Geleijnse, Johanna M and Giles, Graham G and de Goede, Janette and Gudnason, Vilmundur and Harris, William S and Hodge, Allison and Hu, Frank and Koulman, Albert and Laakso, Markku and Lind, Lars and Lin, Hung-Ju and McKnight, Barbara and Rajaobelina, Kalina and Riserus, Ulf and Robinson, Jennifer G and Samieri, Cecilia and Siscovick, David S and Soedamah-Muthu, Sabita S and Sotoodehnia, Nona and Sun, Qi and Tsai, Michael Y and Uusitupa, Matti and Wagenknecht, Lynne E and Wareham, Nick J and Wu, Jason HY and Micha, Renata and Forouhi, Nita G and Lemaitre, Rozenn N and Mozaffarian, Dariush} }