1<p>Differences in means, medians and proportions were assessed using ANOVA, Kruskal-Wallis tests and χ<sup>2</sup> tests, respectively.</p>2<p>Data are missing for one or more participants: 30 for BMI and 4 for dairy milk.</p>3<p>The numbers of current smokers (current light+current heavy) are shown; the p-value corresponds to differences in proportions between all smoking categories (never, former, current light and current heavy) by diet group.</p>4<p>Total meat comprises red meat, processed meat, liver and poultry.</p>5<p>Fructose-rich drinks comprise fruit juice and sugar sweetened soft drinks.</p
OBJECTIVE: Examine how meal patterns are associated with nutrient intakes, lifestyle and socioeconom...
Objective: To identify combinations of food groups that explain as much variation in absolute intake...
nants of body fatness (eg, energy intake, energy expenditure, alcohol intake, coffee consump-tion, t...
1<p>Differences in means, medians and proportions were assessed using ANOVA, Kruskal-Wallis tests an...
Objective: To determine whether analysis of food intake data using different food group classificati...
<p>The Hordaland Health Study<sup>a</sup></p><p>Abbreviations: BMD, bone mineral density; BMI, body ...
<p>Mean and SEM for all continuous variables and distributions of race, with descriptions for the en...
<p>Abbreviations: BMI, body mass index.</p><p><sup>a</sup> Difference among tertiles were analyze by...
OBJECTIVE: To examine the associations of diet and other lifestyle factors with body mass index (BMI...
<p>*n = 1388 (79 missing data).</p><p>BMI = body mass index (kg/m<sup>2</sup>); SD = standard deviat...
Eighty-year-old male residents in the community of Malmö were questioned about smoking habits and th...
Differences in the frequency of consumption of 30 selected foods and in the estimated intake of tota...
Morbidity and mortality are significantly higher in men than in women and are particularly related t...
<p>Subject characteristics in the different groups (m = males; s = smokers; BMI = body mass index).<...
<p>Group 1: continuing smokers who received spirometric assessment at Visit 2; Group 2: those who qu...
OBJECTIVE: Examine how meal patterns are associated with nutrient intakes, lifestyle and socioeconom...
Objective: To identify combinations of food groups that explain as much variation in absolute intake...
nants of body fatness (eg, energy intake, energy expenditure, alcohol intake, coffee consump-tion, t...
1<p>Differences in means, medians and proportions were assessed using ANOVA, Kruskal-Wallis tests an...
Objective: To determine whether analysis of food intake data using different food group classificati...
<p>The Hordaland Health Study<sup>a</sup></p><p>Abbreviations: BMD, bone mineral density; BMI, body ...
<p>Mean and SEM for all continuous variables and distributions of race, with descriptions for the en...
<p>Abbreviations: BMI, body mass index.</p><p><sup>a</sup> Difference among tertiles were analyze by...
OBJECTIVE: To examine the associations of diet and other lifestyle factors with body mass index (BMI...
<p>*n = 1388 (79 missing data).</p><p>BMI = body mass index (kg/m<sup>2</sup>); SD = standard deviat...
Eighty-year-old male residents in the community of Malmö were questioned about smoking habits and th...
Differences in the frequency of consumption of 30 selected foods and in the estimated intake of tota...
Morbidity and mortality are significantly higher in men than in women and are particularly related t...
<p>Subject characteristics in the different groups (m = males; s = smokers; BMI = body mass index).<...
<p>Group 1: continuing smokers who received spirometric assessment at Visit 2; Group 2: those who qu...
OBJECTIVE: Examine how meal patterns are associated with nutrient intakes, lifestyle and socioeconom...
Objective: To identify combinations of food groups that explain as much variation in absolute intake...
nants of body fatness (eg, energy intake, energy expenditure, alcohol intake, coffee consump-tion, t...