Total and specific dietary polyphenol intakes and 6-year anthropometric changes in a middle-aged general population cohort.

BACKGROUND: Dietary polyphenols are suggested antiobesogenic agents. Prospective evidence in general population of an association between polyphenol intakes and anthropometry is lacking. OBJECTIVE: To assess the associations between dietary polyphenol intakes and changes in body mass index (BMI) and waist circumference (WC) over a 6-year period. METHODS: Individual intakes of 264 different polyphenols (mg day-1) were estimated using the Phenol-Explorer database and the mean of 6-17 24-h dietary records collected in 1994-1996. BMI in kg m-2 and WC in cm were measured in 1995-1996, 1998-1999 and 2001-2002. Linear mixed-effect models allowed for the assessment of longitudinal associations between energy-adjusted quartiles of total polyphenol intake as well as intake of 15 polyphenol classes and changes of these respective polyphenol classes in anthropometry over the 6 years of follow-up. Adjustment variables included sex, age, socio-economic status, lifestyle, dietary intakes and health status. RESULTS: Participants in the highest quartile of intake of flavanones (BMI change: -0.28 (-0.43; -0.13), P=0.009), flavones (BMI change: -0.29 (-0.44; -0.14), P=0.008) and lignans (BMI change: -0.28 (-1.63; -0.09), P=0.01) experienced a less notable increase in BMI over time compared with their counterparts in the bottom quartile of intake of the respective polyphenol classes. Participants in the highest quartile of intake of flavanones (WC change: -1.39 (-2.02; -0.92), P=0.001), flavones (WC change: -1.57 (-2.32; -0.92), P=0.001), hydroxycinnamic acids (WC change: -1.27 (-1.92; -0.63), P=0.01), lignans (WC change: -1.16 (-1.80; -0.51), P=0.006) and total polyphenol intake (WC change: -1.39 (-2.05; -0.74), P=0.001) experienced a less notable increase in WC over time compared with their counterparts in the bottom quartile of intake of the respective polyphenols. CONCLUSIONS: Dietary polyphenol intakes may help reduce weight gain over time in the general population. This could have important public health implications because moderate increases in BMI and WC over time have been shown to increase disease risk.

Prospective association between the dietary inflammatory index and metabolic syndrome: findings from the SU.VI.MAX study.

BACKGROUND AND AIMS: The prevention of the metabolic syndrome (MetS) is of major concern and nutrition has been shown to modulate at least partly MetS risk. Our objective was to investigate whether a pro-inflammatory diet was associated with a higher risk of MetS and its components in a large cohort of French adults. METHODS AND RESULTS: A total of 3726 participants from the Supplémentation en Vitamines et Minéraux AntioXydants (SU.VI.MAX) cohort were included in this study. The MetS status was identified at baseline and after 13 years of follow-up using self-reported medication, data from clinical investigations and biological measurements. The dietary inflammatory index (DII) was computed using repeated 24 h-dietary records (n = 10.1 ± 3.1). Logistic and linear regression analyses were conducted to assess the prospective association of the DII (as Q, quartiles) with the incidence of MetS and with the traits contributing to the MetS-definition (blood pressure, glycaemia, triglycerides, HDL-cholesterol, waist circumference). A diet with pro-inflammatory properties, as expressed by higher DII scores, was significantly associated with a higher risk of developing the MetS (OR comparing Q4 to Q1: 1.39, 95% confidence interval 1.01-1.92, P = 0.047). Moreover, higher DII scores were associated with higher systolic and diastolic blood pressure (Ptrend across quartiles = 0.03 and 0.05, respectively) and triglycerides (Ptrend = 0.01), and with lower HDL-cholesterol (Ptrend = 0.03). CONCLUSION: A higher DII score was prospectively associated with a higher risk of MetS, with associations with blood pressure, triglycerides and HDL-cholesterol. Promotion of a healthy diet exhibiting anti-inflammatory properties may contribute to prevent cardio-metabolic disorders.

Determining the association between types of sedentary behaviours and cardiometabolic risk factors: A 6-year longitudinal study of French adults.

AIM: This study identified the longitudinal associations between leisure-time sedentary behaviours [television (TV) viewing, computer use and reading (h/week)] and cardiometabolic risk factors, including the metabolic syndrome. METHODS: A total of 2517 participants (mean±SD age: 55.5±4.9 years) were assessed in 2001 and in 2007 for physical activity and leisure-time sedentary behaviours, anthropometry, body composition, blood pressure, fasting blood glucose and lipids, using standardized methods. Multivariate generalized linear (beta, 95% CI and P values) and logistic (OR and 95% CI) regression models were used to assess cross-sectional associations between sedentary behaviours and cardiometabolic risk factors, while a 6-year longitudinal study explored these associations as well as the odds of developing the metabolic syndrome, as defined by the NCEP ATPIII. RESULTS: Increased TV viewing time over the follow-up period was positively associated with increases in body mass index (BMI; P<0.01) and percent body fat (P<0.001), and marginally with waist circumference (P=0.06). Reverse associations were also found, with changes in BMI, percent fat mass and waist circumference positively associated with TV viewing and computer use. Associations between reading and cardiometabolic risk factors were less consistent. Each 1-h/week increase in baseline TV viewing and in reading was associated with an increase in the chances of developing the metabolic syndrome (OR=1.031, 95% CI: 0.998-1.060, P=0.07; and OR=1.032, 95% CI: 1.002-1.065, P=0.02; respectively). CONCLUSION: The present study data emphasizes the notion of differential associations of specific sedentary behaviours with cardiometabolic risk factors. They are also evidence that different longitudinal associations should be taken into account when designing public health objectives of interventions aimed at improving cardiometabolic health.