27
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Longitudinal association between dairy consumption and changes of body weight and waist circumference: the Framingham Heart Study

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Dairy foods are nutrient-dense and may be protective against long-term weight gain.

          Objective

          We aimed to examine the longitudinal association between dairy consumption and annualized changes in weight and waist circumference (WC) in adults.

          Methods

          Members of the Framingham Heart Study Offspring Cohort who participated in the 5 th through 8 th study examinations (1991–2008) were included in these analyses (3,440 participants with 11,683 observations). At each exam, dietary intake was assessed by a validated food frequency questionnaire, and weight and WC were assessed following standardized procedures. Repeated measures models were used for the longitudinal analyses by adjusting for time-varying or invariant covariates.

          Results

          On average, participants gained weight and WC during follow-up. Dairy intake increased across exams. After adjusting for demographic and lifestyle factors (including diet quality), participants who consumed ≥3 servings/d of total dairy had 0.10 [±0.04] kg smaller annualized increment of weight ( P trend =0.04) than those consuming <1 serving/d. Higher total dairy intake was also marginally associated with less WC gain ( P trend =0.05). Similarly, participants who consumed ≥3 servings/wk of yogurt had a 0.10 [±0.04] kg and 0.13 [±0.05] cm smaller annualized increment of weight ( P trend =0.03) and WC ( P trend =0.008) than those consuming <1 serving/wk, respectively. Skim/low-fat milk, cheese, total high-fat or total low-fat dairy intake was not associated with long-term change of weight or WC.

          Conclusion

          Further longitudinal and interventional studies are warranted to confirm the beneficial role of increasing total dairy and yogurt intake, as part of a healthy and calorie-balanced dietary pattern, in the long-term prevention of gain in weight and WC.

          Related collections

          Most cited references47

          • Record: found
          • Abstract: found
          • Article: not found

          Annual medical spending attributable to obesity: payer-and service-specific estimates.

          In 1998 the medical costs of obesity were estimated to be as high as $78.5 billion, with roughly half financed by Medicare and Medicaid. This analysis presents updated estimates of the costs of obesity for the United States across payers (Medicare, Medicaid, and private insurers), in separate categories for inpatient, non-inpatient, and prescription drug spending. We found that the increased prevalence of obesity is responsible for almost $40 billion of increased medical spending through 2006, including $7 billion in Medicare prescription drug costs. We estimate that the medical costs of obesity could have risen to $147 billion per year by 2008.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old.

            Obesity, defined by a body-mass index (BMI) (the weight in kilograms divided by the square of the height in meters) of 30.0 or more, is associated with an increased risk of death, but the relation between overweight (a BMI of 25.0 to 29.9) and the risk of death has been questioned. We prospectively examined BMI in relation to the risk of death from any cause in 527,265 U.S. men and women in the National Institutes of Health-AARP cohort who were 50 to 71 years old at enrollment in 1995-1996. BMI was calculated from self-reported weight and height. Relative risks and 95 percent confidence intervals were adjusted for age, race or ethnic group, level of education, smoking status, physical activity, and alcohol intake. We also conducted alternative analyses to address potential biases related to preexisting chronic disease and smoking status. During a maximum follow-up of 10 years through 2005, 61,317 participants (42,173 men and 19,144 women) died. Initial analyses showed an increased risk of death for the highest and lowest categories of BMI among both men and women, in all racial or ethnic groups, and at all ages. When the analysis was restricted to healthy people who had never smoked, the risk of death was associated with both overweight and obesity among men and women. In analyses of BMI during midlife (age of 50 years) among those who had never smoked, the associations became stronger, with the risk of death increasing by 20 to 40 percent among overweight persons and by two to at least three times among obese persons; the risk of death among underweight persons was attenuated. Excess body weight during midlife, including overweight, is associated with an increased risk of death. Copyright 2006 Massachusetts Medical Society.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Food-based validation of a dietary questionnaire: the effects of week-to-week variation in food consumption.

              The reproducibility and validity of responses for 55 specific foods and beverages on a self-administered food frequency questionnaire were evaluated. One hundred and seventy three women from the Nurses' Health Study completed the questionnaire twice approximately 12 months apart and also recorded their food consumption for seven consecutive days, four times during the one-year interval. For the 55 foods, the mean of correlation coefficients between frequencies of intake for first versus second questionnaire was 0.57 (range = 0.24 for fruit punch to 0.93 for beer). The mean of correlation coefficients between the dietary records and first questionnaire was 0.44 (range = 0.09 for yellow squash to 0.83 for beer and tea) and between the dietary records and the second questionnaire was 0.52 (range = 0.08 for spinach to 0.90 for tea). Ratios of within- to between-person variance for the 55 foods were computed using the mean four one-week dietary records for each person as replicate measurements. For most foods this ratio was greater than 1.0 (geometric mean of ratios = 1.88), ranging from 0.25 (skimmed milk) to 14.76 (spinach). Correlation coefficients comparing questionnaire and dietary record for the 55 foods were corrected for the within-person variation (mean corrected value = 0.55 for dietary record versus first questionnaire and 0.66 versus the second). Mean daily amounts of each food calculated by the questionnaire and by the dietary record were also compared; the observed differences suggested that responses to the questionnaire tended to over-represent socially desirable foods. This analysis documents the validity and reproducibility of the questionnaire for measuring specific foods and beverages, as well as the large within-person variation for food intake measured by dietary records. Differences in the degree of validity for specific foods revealed in this type of analysis can be useful in improving questionnaire design and in interpreting findings from epidemiological studies that use the instrument.
                Bookmark

                Author and article information

                Journal
                101256108
                32579
                Int J Obes (Lond)
                Int J Obes (Lond)
                International journal of obesity (2005)
                0307-0565
                1476-5497
                6 June 2013
                20 May 2013
                February 2014
                01 August 2014
                : 38
                : 2
                : 299-305
                Affiliations
                [1 ]Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA (H.W., L.M.T., G.T.R., N.M.M., and P.F.J)
                [2 ]Department of Nutrition, Chenoweth Laboratory, University of Massachusetts, Amherst, MA (L.M.T.)
                [3 ]National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA (C.S.F.)
                [4 ]Department of Medicine, Massachusetts General Hospital, General Internal Medicine Unit, Boston, MA (J.B.M.)
                [5 ]Gerald J. & Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (L.M.T., N.M.M. and P.F.J.)
                Author notes
                [* ]Correspondence and offprint requests are to be sent to: Paul F. Jacques, D.Sc., 711 Washington St. Boston, MA 02111, Phone: 617-556-3322, Fax: 617-556-3344, Paul.jacques@ 123456tufts.edu
                Article
                NIHMS477627
                10.1038/ijo.2013.78
                3809320
                23736371
                e1fe78fd-6e29-498e-bab8-e4e08181e137

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: National Heart, Lung, and Blood Institute : NHLBI
                Award ID: N01HC25195 || HL
                Funded by: Division of Epidemiology & Clinical Applications : NHLBI
                Award ID: N01 HC025195 || HC
                Categories
                Article

                Nutrition & Dietetics
                dairy,weight,waist circumference,longitudinal,milk,yogurt
                Nutrition & Dietetics
                dairy, weight, waist circumference, longitudinal, milk, yogurt

                Comments

                Comment on this article