Longitudinal Assessment of Relationships Between Health Behaviors and IL-6 in Overweight and Obese Pregnancy.

BACKGROUND: Inflammation is a common factor in adverse pregnancy outcomes (APOs). Behavioral factors influence inflammatory markers and APOs but rarely have been investigated simultaneously in pregnancy. Our purpose was to determine how diet, physical activity, and obesity are associated with interleukin (IL)-6 in early and late pregnancy. METHODS: We conducted a secondary analysis of 49 overweight/obese pregnant women. Health behavior data, including diet quality using the Dietary Inflammatory Index (DII®); physical activity (Leisure Time Physical Activity scale); body mass index (BMI); and plasma IL-6 concentrations were collected at 13-16 weeks (early pregnancy) and 34-36 weeks (late pregnancy) gestation. Multiple linear regression analyses were used to determine the amount of variance explained in early and late pregnancy IL-6 concentrations by early and late pregnancy diet, physical activity, and BMI. RESULTS: Early diet and early BMI were the strongest predictors of early IL-6 concentrations (R2 = 0.43; p < .001) and late IL-6 concentrations (R2 = 0.30; p < .001). Late BMI predicted late IL-6 (R2 = .11; p = .02). Change in diet over pregnancy predicted late IL-6 (R2 = 0.17; p = .03). CONCLUSION: These findings suggest that maternal diet and BMI in early pregnancy, which likely reflects prepregnancy status, may have a greater impact on inflammatory processes than factors later in pregnancy. Future work should assess if behavioral factors before pregnancy produce similar relationships to those reported here, which may clarify the timing and type of lifestyle interventions to effectively reduce APOs.

Dietary inflammatory potential is linked to cardiovascular disease risk burden in the US adult population.

BACKGROUND: Dietary guidelines are a key tool in the public health quiver. Single nutrients have been linked to cardiovascular diseases, but existing metrics do not capture the overall effect of diet on inflammatory diseases. The aim of this study was to examine the association between dietary inflammatory potential and cardiovascular diseases risk factors (CVD-RFs) in a nationally-representative sample of non-institutionalized US adults using data from the continuous National Health and Nutrition Examination Survey (NHANES) (2007-2012). METHODS AND RESULTS: A sample of 7880 non-institutionalized US adults aged ≥20years provided data on dietary habits and CVD-RFs (obesity; diabetes mellitus; hypertension; hypercholesterolemia). The total number of CVD-RFs was summed for each individual to create a CVD-RF morbidity index (range 0-4) as the outcome variable, used both as ordinal and dichotomous (no CVD-RFs versus at least one CVD-RF) variables. The association between the Dietary Inflammatory Index (DII) and at least one CVD-RF was dose-dependent, with participants in the 3rd and 4th quartile of DII (i.e., more pro-inflammatory dietary habits) being 1.37 (95%CI=1.11-1.68) and 1.50 (95%CI=1.19-1.90) times more likely, respectively, to have at least one CVD-RF, as compared to participants in the 1st quartile of DII scores. Similar results were obtained for the ordinal logistic regression using the CVD-RF morbidity index as the outcome. CONCLUSIONS: Among US adults aged ≥20years, pro-inflammatory dietary patterns, as assessed by the DII, were associated with increased odds for CVD-RFs. Dietary guidelines aimed at lowering the DII may reduce the CVD-RF burden in US adults.

Long-term association between the dietary inflammatory index and cognitive functioning: findings from the SU.VI.MAX study.

PURPOSE: Inflammation is a ubiquitous underlying mechanism of the links between diet and cognitive functioning. No study has yet evaluated the overall inflammatory potential of the diet, using the dietary inflammatory index (DII), in relation to cognitive functioning. In a French cohort of middle-aged adults, we evaluated the association between the DII, assessed in midlife, and cognitive performance evaluated 13 years later. METHODS: The DII is a literature-derived dietary index developed to determine the inflammatory potential of diet. The DII was estimated at baseline (1994-1996) among 3080 subjects of the SU.VI.MAX (supplementation with antioxidant vitamins and minerals) cohort. Cognitive performance was assessed in 2007-2009 via a battery of standardized neuropsychological tests. Principal component analysis was performed to extract a summary score of cognitive performance. Multivariable-adjusted linear regression analyses were performed to provide regression coefficients and 95 % confidence intervals (95 % CI). RESULTS: In a multivariate model, a strong inverse association was observed between a higher DII (reflecting a more inflammatory diet) and overall cognitive functioning (mean difference Q4 vs. Q1 = -1.76; 95 % CI = -2.81, -0.72, P for trend =0.002). With regard to specific cognitive domains, similar associations were observed with scores reflecting verbal memory, but not executive functioning. CONCLUSION: This study suggests that a pro-inflammatory diet at midlife might be associated with subsequent lower cognitive functioning. A diet exhibiting anti-inflammatory properties may help to maintain cognitive health during aging. CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov (number NCT00272428).

Choosing between responsive-design websites versus mobile apps for your mobile behavioral intervention: presenting four case studies.

Both mobile apps and responsive-design websites (web apps) can be used to deliver mobile health (mHealth) interventions, but it can be difficult to discern which to use in research. The goal of this paper is to present four case studies from behavioral interventions that developed either a mobile app or a web app for research and present an information table to help researchers determine which mobile option would work best for them. Four behavioral intervention case studies (two developed a mobile app, and two developed a web app) presented include time, cost, and expertise. Considerations for adopting a mobile app or a web app-such as time, cost, access to programmers, data collection, security needs, and intervention components- are presented. Future studies will likely integrate both mobile app and web app modalities. The considerations presented here can help guide researchers on which platforms to choose prior to starting an mHealth intervention.