33 research outputs found
Muscle Lipid Content and Fiber Type Composition.
<p>(A) Oil Red O staining, a marker of intramyocellular lipid, of the whole extensor digitorum longus (EDL), soleus (SOL) and quadriceps (rectus femoris (RECT FEM), vastus lateralis (VAST LAT), vastus intermedius (VAST INT) and vastus medialis (VAST MED)) muscles and (B) muscle fiber type composition (%) of the EDL and SOL muscles of mice fed a control (CON), high saturated fat (HF-S) or high fat fish oil enriched (HF-FO) diet for 11 wks (Cohort 2). Scale bars represent 100 μm.</p
Interaction between riboflavin intake and iron intake at baseline in relation to anemia at follow up stratified by anemia status at baseline.
<p>Marginsplot syntax was used to make the plot after logistic regression adjusting for age, gender, smoking, energy intake, dietary patterns (continuous), education, income, BMI, and hypertension at baseline. The values represent the adjusted probability of anemia at follow-up. The values of iron intake represent the median intake in each quartile of iron intake. P value for interaction between riboflavin intake and iron intake was 0.008.</p
Baseline sample characteristics according to quartiles of riboflavin intake (n = 1253). <sup>a</sup>
a<p>Values are presented as mean(SD) or percentage.</p>b<p>p values were generated by chi-squared test for categorical variables and ANOVA test for continuous exposures.</p
Baseline association between riboflavin intake (quartiles) and anemia.<sup>a</sup>
a<p>Values are prevalence rate ratio (95% CI) from Poisson regression.</p>b<p>mean riboflavin intake with quartile.</p>c<p>Model 1 adjusted for age (years, as continuous), sex (not adjusted in sex specific model), energy and iron intake.</p>d<p>Model 2 adjusted for age, sex (not adjusted in sex specific model), smoking (0, 1–19, ≥20 cigarettes/day), alcohol drinking (g/day), education (low, medium, high), and occupation (manual/non-manual), overweight (BMI≥24 kg/m<sup>2</sup>, yes/no), hypertension (yes/no), intake of energy (kcal/day), iron (mg/day), and vitamin C (mg/day) (as continuous variables), for baseline dietary patterns.</p
The association between dietary patterns and urinary total phthalate concentration.
<p><sup>a</sup> LSGM: Least Square Geometric Mean.</p><p><sup>b</sup> Model adjusted to age.</p><p><sup>c</sup> Model adjusted to age, education, employment status, marital status and annual household income.</p><p><sup>d</sup> Model adjusted to age, education, employment status, marital status, annual household income, current smoking, body mass index (BMI) and physical activity.</p><p><sup>e</sup> Derived from food frequency questionnaire (FFQ).</p><p>The association between dietary patterns and urinary total phthalate concentration.</p
Relative risk (95% CI) for anemia at follow-up derived from Poisson regression according to quartiles of baseline riboflavin intake among Chinese adults by anemic status at baseline in Jiangsu Nutrition Study.<sup>a</sup>
a<p>Values are prevalence rate ratio (95% CI) from Poisson regression.</p>b<p>mean riboflavin intake with quartile.</p>c<p>Model 1 adjusted for age (years, as continuous), sex, and energy intake.</p>d<p>Model 2 adjusted for age, sex, smoking (0, 1–19, ≥20 cigarettes/day), alcohol drinking (g/day), education (low, medium, high), and occupation (manual/non-manual), overweight (BMI≥24 kg/m<sup>2</sup>, yes/no), hypertension (yes/no), intake of energy (kcal/day), iron (mg/day), and vitamin C (mg/day) (as continuous variables), and baseline dietary patterns.</p>e<p>Model 3 additional adjusted for dietary patterns (continuous) at follow-up.</p
The LSGM of phthalate concentration among socio-demographic status and lifestyle factors.
<p>Margins with exponential transferring and marginsplot syntax were used to plot after linear regression mutually adjusting for age, education, employment status, marital status, household annual income, smoking, body mass index (BMI), physical activity, alcohol consumption per day, fruit consumption per day, vegetables consumption per day and carbonated soft drinks consumption per day.</p
The factor loadings of factor analysis for dietary patterns.
<p>Two dietary patterns which are prudent and western dietary pattern were generated using the principle component factor method of factor analysis.</p
The association of a multiple lifestyle risk factors with urinary total phthalate concentration.
<p><sup>a</sup> LSGM: Least Square Geometric Mean.</p><p><sup>b</sup> Model adjusted to age.</p><p><sup>c</sup> Model adjusted to age, education, employment status, marital status and annual household income.</p><p><sup>d</sup> Multiple lifestyle risk factors include smoking, obesity, insufficient physical activity and highest quartile of western dietary pattern.</p><p>The association of a multiple lifestyle risk factors with urinary total phthalate concentration.</p