Pearson correlation of body composition measurements with circulating PYY^1,2.

1<p>Pearson correlation of body composition measurements with PYY (pg/ml).</p>2<p>Statistical significance was set to p<0.05.</p

Fasting serum PYY among normal-weight, overweight and obese males and females.

<p>Fasting PYY concentration was not significantly different between normal-weight (NW), overweight (OW) or obese (OB) subjects defined either by body mass index (BMI) according to the WHO criteria <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0095235#pone.0095235-WorldHealthOrganization1" target="_blank">[28]</a> or percent body fat (%BF) measured by dual-energy x-ray absorptiometry (DXA) according to the Bray criteria <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0095235#pone.0095235-Bray1" target="_blank">[27]</a>. Fasting PYY concentration was also not significantly different among adiposity groups among men and women separately.</p

Body composition characteristics and PYY concentration^1,4,5.

1<p>All values are means ± SDs. Gender differences were analyzed by a one-way ANCOVA.</p>2<p>Variable significantly greater in men than women.</p>3<p>Variable significantly greater in women than men.</p>4<p>PYY Minimum and Maximum (pg/ml) – Entire Cohort (3.7–368.5); Male (7.26–364.7); Female (3.67–368.5).</p>5<p>Significance level for one-way ANCOVA (controlling for age) was set to P≤0.05.</p

Multiple Regression for Body Fat (%), Trunk Fat (%), and Waist Circumference (cm) on PYY Concentration^1,3.

1<p>Regression model adjusted for age, gender, smoking, medication use (Menopause was also controlled for in the females).</p>2<p>β = Unstandardized Beta (standard error).</p>3<p>Statistical significance was set to p<0.05.</p

Public FA Data.xlsx

This database contains all variables used in the analysis of the association between symptoms of food addiction and various metabolic characteristics including insulin resistance and lipid profiles in the general Newfoundland population<br

Regression Models of Magnesium Intake on Insulin Resistance based upon %BF and BMI.

1<p>Regression model adjusted for caloric intake, physical activity, medication use and menopausal status.Subjects were also stratified into a tertiles(Low, Medium and High) based upon %BF and BMI.</p>2<p>β = Unstandardized Beta (standard error), β* = Standardized Beta (standard error), Magnesium intake (g/day/kg).</p>3<p>Magnesium intake (Low BMI 409.78±243.5 mg/day, Medium BMI 353.24±180.9 mg/day, High BMI 342.76±196.1 mg/day) (Low %BF 387.5±230.3 mg/day, Medium %BF 360.54±187.5 mg/day, High %BF 357.68±210.7 mg/day).</p>4<p>Statistical significance was set to p<0.05 (IBM SPSS Statistics 19).</p

Physical, Biochemical, and Dietary Intake Characteristics According to Magnesium Intake.

1<p>Data presented as mean ± SD. Homeostasis model assessment of insulin resistance (HOMA-IR) and β-cell function (HOMA-β).</p>2<p>Subjects were stratified into a tertile (low, medium and high) based upon magnesium intake (mg/day).</p>3<p>Magnesium intake group differences were assessed with an ANCOVA controlling for caloric intake, physical activity, medication use, menopause and %BF.</p>4<p>Statistical significance for one-way ANCOVA was set to p<0.05 (IBM SPSS Statistics 19).</p

Fasting Serum PYY for men and women in four age groups.

<p>Fasting PYY concentration was 15.2%, 17.1% and 11.8% greater among men than women within the <30 yrs, >30–<40 yrs, and >40–<50 yrs groups respectively (*). Additionally, the ≥50 yrs group of women had a 12.2% higher circulating level of PYY than women in the <30 yrs group (†).</p

Uncertainties about the certainty of Descartes' 'Cogito-sum'. Critical thoughts on the Cartesian reflections

List of metabolite concentrations determined using the Biocrates AbsoluteIDQ kit. (DOC 42 kb

PYY concentrations according to body composition measurements^1,4,5,6.

1<p>All values are mean ± SDs. Subjects were stratified into tertiles (low, medium and high) based upon body composition measurements.</p>2<p>Female - Body Fat % (Low 27.7±2.4, Medium 35.7±2.3, High 44.4±3.6); Trunk Fat % (Low 28.3±3.6, Medium 38.0±2.3, High 46.9±3.6); waist circumference (Low 77.2±5.5 cm, Medium 89.7±3.3 cm, High 107.5±10.1 cm).</p>3<p>Male - Body Fat % (Low 86.2±7.6, Medium 95.8±6.9, High 108.3±13.9); Trunk Fat % (Low 85.9±7.6, Medium 96.2±7.8, High 108.39±13.5); waist circumference (Low 83.9±6.1 cm, Medium 95.8±2.3 cm, High 110.9±11.3 cm).</p>4<p>P = Differences between sexes and among body composition tertiles were assessed with ANCOVA controlling for age.</p>5<p>P* = Differences between sexes and among body composition tertiles were assessed with ANCOVA controlling for age, gender, smoking, medication use, and menopause.</p>6<p>Statistical significance level was set to p<0.05.</p