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The objective was to study obesity and insulin resistance in relation to leisure time physical activity (LTPA) and occupational physical activity (OPA) in a Swedish population, with particular focus on sex differences. Using a cross-sectional design, waist circumference, body mass index (BMI), glucose/insulin metabolism, blood pressure, heart rate, self-reported education, smoking, alcohol consumption, LTPA, and OPA were assessed in 1745 men and women (30-74 years) randomly chosen from 2 municipalities in southwestern Sweden. In both men and women, LTPA was inversely associated with BMI, waist circumference, and the homeostasis model assessment of insulin resistance (HOMA-IR), respectively. These associations remained statistically significant after adjustments for age, OPA, education, alcohol consumption, smoking, and study area, and also for BMI in the analyses concerning waist circumference and HOMA-IR. A statistically significant interaction term (P = .030), adjusted for multiple confounders, revealed a stronger association between LTPA and HOMA-IR in women compared with men. Occupational physical activity was positively associated with BMI (P < .001), waist circumference (P < .001), and HOMA-IR (P = .001), however, only in women. These associations remained when adjusting for multiple confounders. The sex differences were confirmed by statistically significant interaction terms between sex and OPA in association with BMI, waist circumference, and HOMA-IR, respectively. The observed sex differences regarding the strength of the association between LTPA and insulin resistance, and the positive association between OPA and obesity and insulin resistance found solely in women, warrant further investigation. Although exploration of the metabolic effects of OPA appears to be needed, thorough measurement of potential confounders is also vital to understand contextual effects., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Objective: We wanted to explore if FTO genotype interacts with fat intake, or leisure-time physical activity, on fat mass, lean mass and mortality., Subjects and Methods: Among 22,799 individuals (44-74 years) in the population-based Malmö diet and cancer cohort that were genotyped for rs9939609 in FTO and had information on dietary intake (from a modified diet history method) and no history of diabetes, cancer or cardiovascular disease, 2255 deaths (including 1100 cancer and 674 cardiovascular deaths) occurred during 12.0 years of follow-up. Leisure-time physical activity was determined from a list of 17 different physical activities in a questionnaire. Body composition was measured using bioelectric impedance method., Results: FTO genotype associated strongly with both fat mass and lean mass (P(trend) <1 × 10(-16) for both) but we found only significant interactions with fat intake, or physical activity, on fat mass (P(interaction)=0.01 and 0.004). No significant interaction between FTO genotype and fat intake (P(interaction)=0.72), or leisure-time physical activity (P(interaction)=0.07), on total mortality were observed. However, we observed a significant interaction between leisure-time physical activity and FTO genotype on cardiovascular mortality (P(interaction)=0.03). The highest vs lowest quintile of physical activity was associated with 46% (95% confidence interval, 17-64%) reduced cardiovascular mortality among TT-carriers (P(trend)=0.004), and 11% reduced cardiovascular mortality among A-allele carriers (P(trend)=0.68)., Conclusion: Our results indicate that FTO genotype associates with both fat mass and lean mass, but the level of fat intake and physical activity only modify the association with fat mass. In addition, FTO genotype may modify the association between physical activity and cardiovascular mortality.

The role of eating frequency in obesity development is debated. Therefore, we investigated the association between eating frequency, BMI and waist circumference (WC), as well as how eating frequency is related to diet composition and lifestyle factors. A subsample (aged 47-68 years) of men (n 1355) and women (n 1654) from the Malmö Diet and Cancer cohort was used for the present cross-sectional study. The daily eating frequency was calculated based on the number of self-reported eating occasions during an ordinary day. Regression analysis and ANOVA examined the associations between eating frequency, BMI and WC, while adjusting for potential confounders. The energy percentage (E%) from carbohydrates as well as relative fibre intake (g/MJ) increased with higher eating frequency; while E% from fat, protein and alcohol decreased. A low daily eating frequency was associated with smoking, higher alcohol consumption, and lower leisure-time physical activity. Eating three or fewer meals per d was also associated with increased likelihood of general and central obesity in men when adjusting for total energy intake, lifestyle and dietary factors. However, results did not reach statistical significance among women. The present study suggests that a high daily eating frequency is associated with a healthy lifestyle and dietary pattern in both men and women, and a reduced likelihood of general and central obesity in men. There is a need for prospective studies investigating the association between eating frequency, diet and body composition.

Background: The fat mass and obesity-associated gene (FTO) has been shown to be associated with obesity and to influence appetite regulation., Objective: The aim was to examine whether dietary factors (macronutrient and fiber intakes) and leisure-time physical activity modify the association between genetic variation in FTO and body mass index (BMI; in kg/m(2))., Design: A cross-sectional study examined 4839 subjects in the population-based Malmö Diet and Cancer study with dietary data (from a modified diet history method) and information on the genetic variant FTO (rs9939609). Direct anthropometric measures were made, and leisure-time physical activity was determined from the duration participants spent on 18 different physical activities., Results: Significant interactions between energy-adjusted fat intake and FTO genotype (P = 0.04) and between carbohydrate intake and FTO genotype (P = 0.001) on BMI were observed. The observed increase in BMI across FTO genotypes was restricted to those who reported a high-fat diet, with a mean BMI of 25.3 (95% CI: 24.9, 25.6) among TT carriers and of 26.3 (95% CI: 25.8, 26.8) among AA carriers (P = 0.0001). The FTO variant was not associated with a higher BMI among subjects with lower fat intakes (BMI = 25.7 and 25.9 in TT carriers and AA carriers, respectively; P = 0.42). Among individuals with a low-carbohydrate intake, we observed a mean BMI of 25.4 for TT carriers and of 26.8 for AA carriers. The increase in BMI across genotypes was mainly restricted to individuals who reported low leisure-time physical activity (P for trend = 0.004, P for interaction = 0.05)., Conclusion: Our results indicate that high-fat diets and low physical activity levels may accentuate the susceptibility to obesity by the FTO variant.

Aims: To explore the association between tooth loss and obesity in an adult Swedish population, and to investigate the influence of socioeconomy, life-style, and co-morbidity., Methods: A cross-sectional population health survey conducted in 2001-2005 in 2816 randomly selected Swedish men and women (age: 30-74 years; participation rate 76%). Main measures were; tooth loss: < 20 remaining teeth (self-reported), general obesity: BMI> or =30 kg m(-2), abdominal obesity: waist circumference >88 in women and >102 cm in men. Adjustments were made for socioeconomy, life-style, and co-morbidity., Results: 420 individuals (21.2%) had < 20 remaining teeth: 30-59 years 6.0%, 60-74 years 53.5%. Mean BMI was similar in men and women (26.9 kg m(-2)), however, both general and abdominal obesity was still more frequent among women (both p < 0.001). There was a significant interaction between age and tooth loss in the association with both general (p = 0.004) and abdominal obesity (p < 0.011) in men. In participants below 60 years of age, the association between tooth loss and general obesity (OR 2.17 [95% CI 1.51 - 3.12]) and abdominal obesity (2.23 [1.58 - 3.15]), respectively, was statistically significant independent of age and gender, and remained so also when accounting for differences in socioeconomy, life-style, and co-morbidity. There was no similar association in those 60 years or older. The findings in men and women were robust and concordant., Conclusions: Common mechanisms for oral health and obesity should be explored more also including longitudinal designs. The findings are important for targeting comprehensive interventions against obesity and tooth loss, especially among younger adults.

Objective: To examine the impact of non-response to self-reported body weight and height in health questionnaires for the estimation of obesity prevalence., Methods and Procedures: A cross-sectional population-based health survey in the community ofVara with 16,009 residents (in year 2002) in South-western Sweden. Participants randomly selected in strata by sex and age among residents being 30-74 years old were consecutively invited to the local health care center for a health examination, including two visits. Self-reported information on body weight and height were obtained by health questionnaires at the first visit, and measured information on both variables at the second visit. For this study 1,809 subjects (904 men and 905 women) completed both visits (participation rate 81%), and a nurse measured body weight and height of all at visit two. Participants not self-reporting body weight and/or height at the first visit were defined as non-responders., Results: Both male and female non-responders were significantly older than responders. Female non-responders had significantly higher BMI (29.8 +/- 5.8 kg/m(2)) than female responders (26.6 +/- 5.3 kg/m(2)), (P < 0.001). No similar findings were seen in men. Non-responders were more likely to be obese than responders both in men (odds ratio (OR) 2.06, 95% confidence interval (CI) 1.03-4.11) and in women (OR 2.24, 95% CI 1.25-4.02)., Discussion: Non-responders to self-reported body weight and height in health questionnaires contribute to the underestimation of obesity. Measured body weight and height are to prefer when describing the accurate prevalence of obesity in populations.

Objective: To investigate the prevalence and the secular trends of obesity in a rural Swedish community with emphasis on the association with socioeconomic status and lifestyle., Design: The Skaraborg Project cross-sectional population surveys were conducted in Vara, a rural community in the southwest of Sweden, every fifth year between 1977 and 2002., Subjects: A total of 3365 residents (1634 men and 1731 women) aged 30-60 years., Measurements: Obesity was defined as body mass index> or =30 kg m(-2). Information on ethnicity, marital status, socioeconomic status and lifestyle was collected by a questionnaire., Results: In 1977-1982, the average prevalence of obesity was 14% in both men and women, and in 2002, the prevalence of obesity was 19% in men and 21% in women. The age-adjusted odds ratio (OR) of obesity in 2002 was 1.48 (1.00, 2.20) in men and 1.41 (0.97, 2.05) in women. Without the simultaneous increase in the level of education and leisure-time physical activity (LTPA), the risk of developing obesity could have been considerably higher; in men OR=3.08 (1.88, 5.03) and in women OR=2.72 (1.66, 4.44). In multivariate models, higher levels of education and LTPA were associated with protective effects on obesity in both men (OR=0.60 (0.43, 0.83) and OR=0.50 (0.45, 0.79)) and women (OR=0.73 (0.54, 0.98) and OR=0.57 (0.42, 0.78)), respectively., Conclusions: This study revealed an upward secular trend in the prevalence of obesity in a rural community in Sweden. Increasing levels of education and LTPA limit this ongoing development of obesity. Public health strategies for the prevention of obesity should consider the special condition in rural environments.

Objective: Valid dietary data are essential when trying to identify whether or not one or more dietary exposures are responsible for disease. We examined diet composition in women who reported dietary change in the past compared with non-changers, and how the associations between dietary factors and postmenopausal breast cancer are influenced by dietary change, obesity status and misreporting of energy., Design: A population-based prospective cohort study. Data were obtained by a diet history method, anthropometrical measurements and an extensive lifestyle questionnaire including items on past food habit change., Setting: The Malmö Diet and Cancer (MDC) study, conducted in Malmö, Sweden., Subjects: A subsample of 12,781 women from the MDC cohort recruited from 1991 to 1996. A total of 428 postmenopausal women were diagnosed with incident breast cancer, during 9.2 years of follow-up., Results: Past food habit changers reported healthier food habits and lower energy intake compared with non-changers, a finding that raises issues regarding possible reporting biases. When excluding diet changers, the trend of increased breast cancer risk across omega-6 fatty acid quintiles was stronger, and a tendency of decreased risk emerged for 'fruit, berries and vegetables'. When excluding individuals with non-adequate reports of energy intake, risk estimates were similar to that of the whole sample. In women with body mass index < 27 kg m- 2, significant trends of increased breast cancer risk were seen for total fat and omega-6 fatty acids, and of decreased risk for 'fruit, berries and vegetables'., Conclusions: This study indicates that both obesity and self-reported past food habit change may be important confounders of diet-breast cancer relationships. The study demonstrates that sensitivity analysis, through stratification, may facilitate interpretation of risk relationships and study results.

Objective: To validate self-reported information on weight and height in an adult population and to find a useful algorithm to assess the prevalence of obesity based on self-reported information., Research Methods and Procedures: This was a cross-sectional survey consisting of 1703 participants (860 men and 843 women, 30 to 75 years old) conducted in the community of Vara, Sweden, from 2001 to 2003. Self-reported weight, height, and corresponding BMI were compared with measured data. Obesity was defined as measured BMI > or = 30 kg/m2. Information on education, self-rated health, smoking habits, and physical activity during leisure time was collected by a self-administered questionnaire., Results: Mean differences between measured and self-reported weight were 1.6 kg (95% confidence interval, 1.4; 1.8) in men and 1.8 kg (1.6; 2.0) in women (measured higher), whereas corresponding differences in height were -0.3 cm (-0.5; -0.2) in men and -0.4 cm (-0.5; -0.2) in women (measured lower). Age and body size were important factors for misreporting height, weight, and BMI in both men and women. Obesity (measured) was found in 156 men (19%) and 184 women (25%) and with self-reported data in 114 men (14%) and 153 women (20%). For self-reported data, the sensitivity of obesity was 70% in men and 82% in women, and when adjusted for corrected self-reported data and age, it increased to 81% and 90%, whereas the specificity decreased from 99% in both sexes to 97% in men and 98% in women., Discussion: The prevalence of obesity based on self-reported BMI can be estimated more accurately when using an algorithm adjusted for variables that are predictive for misreporting.

Objectives: To examine if obesity status and socio-economic and lifestyle factors are associated with self-reported past food habit change, and also whether the level of obesity depends on the reason for change., Design: Cross-sectional analysis within the Malmo Diet and Cancer (MDC) study using data from the baseline examination and the extensive socio-economic and lifestyle questionnaire including questions of past food habit change. The risk of having changed food habits in the past was examined using logistic regression. Mean differences in obesity status across categories of reasons for past food habit change were examined using analysis of variance., Setting: Malmö, the third largest city in Sweden., Subjects: A sub-sample (15 282 women and 9867 men) from the MDC cohort recruited from 1992 to 1996., Results: Individuals with body mass index (BMI) >30 kg m(-2) had an increased risk of having reported past food habit change compared with individuals with BMI <25 kg m(-2) (odds ratio (OR) = 1.63, 95% confidence interval (CI) = 1.48-1.83 for women; OR = 1.53, 95% CI = 1.32-1.76 for men). The highest level of obesity was observed among individuals who had changed their diet due to reasons related to the metabolic syndrome. Changers were more likely to be highly educated and to live alone, be retired, ex-smokers and non-drinkers at baseline., Conclusions: Because past food habit change is related to obesity and other lifestyle and socio-economic factors, a complex confounding situation may exist that could seriously influence observed relationships between diet and disease. Studies need to collect information on past food habit change and take this information into account in the analysis and when interpreting study outcomes.

This study examined the relations between food patterns and five components of the metabolic syndrome in a sample of Swedish men (n = 2,040) and women (n = 2,959) aged 45-68 years who joined the Malmö Diet and Cancer study from November 1991 to February 1994. Baseline examinations included an interview-administered diet history, a self-administered questionnaire, blood pressure and anthropologic measurements, and blood samples donated after an overnight fast. Cluster analysis identified six food patterns for which 43 food group variables were used. Logistic regression analysis was used to examine the risk of each component (hyperinsulinemia, hyperglycemia, hypertension, dyslipidemia, and central obesity) and food patterns, controlling for potential confounders. The study demonstrated relations, independent of specific nutrients, between food patterns and hyperglycemia and central obesity in men and hyperinsulinemia in women. Food patterns dominated by fiber bread provided favorable effects, while food patterns high in refined bread or in cheese, cake, and alcoholic beverages contributed adverse effects. In women, food patterns dominated by milk-fat-based spread showed protective relations with hyperinsulinemia. Relations between risk factors and food patterns may partly depend on gender differences in metabolism or food consumption and on variations in confounders across food patterns.

Background: Previous studies of associations between diet, obesity, and blood concentrations of alpha-tocopherol and beta-carotene have been equivocal. Furthermore, most studies used only body mass index (BMI) as an obesity measure., Objectives: Our objectives were to examine the associations between energy and nutrient intakes, alcohol consumption, tobacco use, and serum cholesterol and serum concentrations of alpha-tocopherol and beta-carotene, and to examine the associations between different measures of general and central adiposity and serum concentrations of alpha-tocopherol and beta-carotene., Design: This was a cross-sectional, population-based study of 253 men and 276 women aged 46-67 y. Nutrient data were collected by a modified diet history method. Measures of obesity included BMI, percentage of body fat (impedance analysis), waist-to-hip ratio, and waist circumference. The associations between serum nutrient concentrations and the other factors were examined by multiple linear regression., Results: Twenty-one percent of men and 34% of women used antioxidant supplements. The mean BMI was 26.1 in men and 25.4 in women. Serum beta-carotene concentration was positively associated with serum cholesterol concentration, fiber intake, and beta-carotene intake, and negatively associated with smoking and all measures of obesity. In men, serum beta-carotene concentration was not significantly associated with central adiposity after adjustment for body fat. Serum alpha-tocopherol concentration was positively correlated with serum cholesterol, obesity, and vitamin E intake. In women, serum alpha-tocopherol concentration was also positively associated with intakes of ascorbic acid and selenium. Serum alpha-tocopherol concentration was associated with central adiposity after adjustment for body fat., Conclusion: Serum beta-carotene and alpha-tocopherol concentrations have different associations with diet, smoking, general adiposity, and central adiposity.

Objective: Comparative data on ecological differences in body fatness and fat distribution within Europe are sparse. Migration studies may provide information on the impact of environmental factors on body size in different populations. The objective was to investigate differences in adiposity between European immigrants and native Swedes, specifically to examine gender differences and the effect of time since immigration, and to compare two selected immigrant groups with their native countrymen., Research Methods and Procedures: A cross-sectional analysis of 27,808 adults aged 45 to 73 years participating in the Malmö Diet and Cancer prospective cohort study in Sweden was performed. Percentage body fat (impedance analysis) and waist-hip ratio (WHR) were compared between Swedish-born and foreign-born participants., Results: Obesity was 40% more prevalent in non-Swedish Europeans compared with Swedes. Controlling for age, height, smoking, physical activity, and occupation, it was found that women born in the former Yugoslavia, southern Europe, Hungary, and Finland had a significantly higher percentage of body fat, and those from Hungary, Poland, and Germany had more centralized adiposity compared with Swedish women. Men born in the former Yugoslavia, Hungary, and Denmark had a significantly higher mean percentage of body fat compared with Swedish-born men, whereas Yugoslavian, Finnish, and German men differed significantly in mean WHR. Length of residence in Sweden was inversely associated with central adiposity in immigrants. A comparison between German and Danish immigrants, their respective native populations, and Swedes indicated an intermediate positioning of German immigrants with regard to body mass index and WHR., Discussion: Differences in general and central adiposity by country of origin appear to remain after migration. Central adiposity seems to be more influenced than fatness per se by time of residency in Sweden.

Obesity may be associated with increased risk of prostate cancer (PCa). According to one hypothesis, obesity could lower the risk of non-aggressive tumours, while simultaneously increasing the risk of aggressive cancer. Furthermore, central adiposity may be independently associated with PCa risk; it is also associated with diabetes, which itself may influence risk of PCa. We studied the associations between height, body composition, and fat distribution, diabetes prevalence and risk of total, aggressive, and non-aggressive PCa in 10,564 initially cancer-free men (aged 45-73 years) of the population-based Malmö Diet and Cancer cohort. Anthropometric and body composition measurements, including bioelectrical impedance for estimation of fat mass, were performed by study nurses. Diabetes prevalence was self-reported. Cancer cases and clinical characteristics were ascertained through national and regional registry data. Dietary and other background data were obtained through a modified diet history method and an extensive questionnaire. During a mean follow-up of 11.0 years, 817 incidental PCa cases were diagnosed. Of these, 281 were classified as aggressive. There were 202 cases occurring before 65 years of age. Height was positively associated with total and non-aggressive PCa risk. Waist-hip ratio (WHR), a measure of central adiposity, was positively associated with PCa before age 65, and less strongly, with total PCa. This association was independent of body mass index (BMI) and other potential confounders. General adiposity, expressed as BMI or body fat percentage, and prevalent diabetes were not associated with PCa risk. In this study, WHR and body height were stronger PCa predictors than general adiposity. [ABSTRACT FROM AUTHOR]