Excessive alcohol consumption is a major public health problem worldwide. Although drinking habits are known to be inherited, few genes have been identified that are robustly linked to alcohol drinking. We conducted a genome-wide association metaanalysis and replication study among >105,000 individuals of European ancestry and identified β-Klotho (KLB) as a locus associated with alcohol consumption (rs11940694; P = 9.2 × 10 −12). β-Klotho is an obligate coreceptor for the hormone FGF21, which is secreted from the liver and implicated in macronutrient preference in humans. We show that brain-specific β-Klotho KO mice have an increased alcohol preference and that FGF21 inhibits alcohol drinking by acting on the brain. These data suggest that a liver-brain endocrine axis may play an important role in the regulation of alcohol drinking behavior and provide a unique pharmacologic target for reducing alcohol consumption.

Subjects with higher preference for evening hours in daily activities (eveningness) have been repeatedly shown to practice adverse health behaviors as compared to those preferring morning hours (morningness). However, associations between chronotype and dietary intake have not been explored intensively. The authors explored whether the human chronotype is associated with food and nutrient intakes in a random sample of the population aged 25 to 74 yrs. The cross-sectional study included 4493 subjects from the National FINRISK 2007 Study. Chronotype was assessed using a shortened version of Horne and Östberg's Morningness-Eveningness Questionnaire. Diet was assessed using a validated food frequency questionnaire. Associations between morningness-eveningness (ME) score and dietary intakes were analyzed by linear regression and difference between lowest (eveningness) and highest (morningness) ME score quintiles by Tukey's test. In the multivariable model, intakes of whole grain, rye, potatoes, and vegetables and roots decreased, whereas those of wine and chocolate increased with lower ME scores. Participants in the lowest ME score quintile consumed less fish (p < .001) and fruits (p = .025) and more chocolate (p = .001) and soft drinks (p = .015) compared to the highest quintile. No linear association was found between ME score and total energy intake. In regression analyses, intake of alcohol (as a percentage of total energy intake; E%) and sucrose (E%) increased, whereas intake of carbohydrates (E%), protein (E%), fiber, folic acid, and sodium decreased with lower ME scores. Furthermore, participants in the lowest ME score quintile ingested more fat (E%) (p < .001) and less vitamin D (p < .001) compared to the highest quintile, even though no linear trend between ME score and these nutrients emerged. In conclusion, these results support existing evidence that individuals with circadian preference toward eveningness have less healthy lifestyles, such as unfavorable dietary habits, than those with tendency toward morningness, which could put them at higher risk of several chronic diseases.

Objective: The health-related effects of the Nordic diet remain mostly unidentified. We created a Baltic Sea Diet Score (BSDS) for epidemiological research to indicate adherence to a healthy Nordic diet. We examined associations between the score and nutrient intakes that are considered important in promoting public health. We also examined the performance of the BSDS under two different cut-off strategies. Design: The cross-sectional study included two phases of the National FINRISK 2007 Study. Diet was assessed using a validated FFQ. Food and nutrient intakes were calculated using in-house software. Nine components were selected for the score. Each component was scored according to both sex-specific consumption quartiles (BSDS-Q) and medians (BSDS-M), and summed to give the final score values. Setting: A large representative sample of the Finnish population. Subjects: Men (n 2217) and women (n 2493) aged 25 to 74 years. Results: In the age-and energy-adjusted model, adherence to the diet was associated with a higher intake of carbohydrates (E%), and lower intakes of SFA (E%) and alcohol (E%, where E% is percentage of total energy intake; P , 0?01). Furthermore, the intakes of fibre, Fe, vitamins A, C and D, and folate were higher among participants who adhered to the diet (P , 0?05). After further adjustments, the results remained significant (P , 0?05) and did not differ remarkably between BSDS-Q and BSDS-M. Conclusions: The BSDS can be used as a measure of a healthy Nordic diet to assess diet-health relationships in public health surveys in Nordic countries.

BackgroundSmall body size at birth is associated with an increased risk of cardiovascular disease and type 2 diabetes. Dietary habits are tightly linked with these disorders, but the association between body size at birth and adult diet has been little studied. We examined the association between body size at birth and intake of foods and macronutrients in adulthood.Methodology/Principal FindingsWe studied 1797 participants, aged 56 to 70, of the Helsinki Birth Cohort Study, whose birth weight and length were recorded. Preterm births were excluded. During a clinical study, diet was assessed with a validated food-frequency questionnaire. A linear regression model adjusted for potential confounders was used to assess the associations. Intake of fruits and berries was 13.26 g (95% confidence interval [CI]: 0.56, 25.96) higher per 1 kg/m3 increase in ponderal index (PI) at birth, and 83.16 g (95% CI: 17.76, 148.56) higher per 1 kg higher birth weight. One unit higher PI at birth was associated with 0.14% of energy (E%) lower intake of fat (95% CI: -0.26, -0.03) and 0.18 E% higher intake of carbohydrates (95% CI: 0.04, 0.32) as well as 0.08 E% higher sucrose (95% CI: 0.00, 0.15), 0.05 E% higher fructose (95% CI: 0.01, 0.09), and 0.18 g higher fiber (95% CI: 0.02, 0.34) intake in adulthood. Similar associations were observed between birth weight and macronutrient intake.ConclusionsPrenatal growth may modify later life food and macronutrient intake. Altered dietary habits could potentially explain an increased risk of chronic disease in individuals born with small body size.

Due to differences in food cultures, dietary quality measures, such as the Mediterranean Diet Score, may not be easily adopted by other countries. Recently, the Baltic Sea Diet Pyramid was developed to illustrate healthy choices for the diet consumed in the Nordic countries. We assessed whether the Baltic Sea Diet Score (BSDS) based on the Pyramid is associated with a decreased risk of obesity and abdominal obesity. The population-based cross-sectional study included 4720 Finns (25 -74 years) from the National FINRISK 2007 study. Diet was assessed using a validated FFQ. The score included Nordic fruits and berries, vegetables, cereals, ratio of PUFA:SFA and trans-fatty acids, low-fat milk, fish, red and processed meat, total fat (percentage of energy), and alcohol. Height, weight and waist circumference (WC) were measured and BMI values were calculated. In a multivariable model, men in the highest v. lowest BSDS quintile were more likely to have normal WC (OR 0·48, 95 % CI 0·29, 0·80). In women, this association was similar but not significant (OR 0·65, 95 % CI 0·39, 1·09). The association appeared to be stronger in younger age groups (men: OR 0·23, 95 % CI 0·08, 0·62; women: OR 0·17, 95 % CI 0·05, 0·58) compared with older age groups. Nordic cereals and alcohol were found to be the most important BSDS components related to WC. No association was observed between the BSDS and BMI. The present study suggests that combination of Nordic foods, especially cereals and moderate alcohol consumption, is likely to be inversely associated with abdominal obesity.

FFQ require validation as part of epidemiological research of diet -disease relationships. Studies exploring associations between carbohydrate type and chronic diseases are rapidly increasing, but information on the validity of carbohydrate fractions, dietary glycaemic index (GI) and the glycaemic load (GL) estimated by FFQ is scarce. Likewise, the effects of subject characteristics on FFQ validity have been poorly documented. The present study evaluates the relative validity of an 131-item FFQ in relation to two 3 d food records (FR) performed 6 months apart focusing on the intake of carbohydrate fractions, dietary GI and the GL. Furthermore, we assessed the extent to which subjects' age, education and BMI explain differences between these methods. The study sample comprised 218 men and 292 women aged 25-74 years participating in a large population-based survey in Finland. Energy-adjusted Spearman's rank correlations ranged from 0·27 (sugars) to 0·70 (lactose) for men and from 0·37 (sugars) to 0·69 (lactose) for women. On average, 73 % of the subjects were categorised into the same or adjacent distribution quintile based on the two methods. In general, the FFQ overestimated the intakes compared with FR. Especially in women, FFQ validity for some nutrients was associated with the level of intake, subjects' age and, to a lesser extent, education but not BMI. In conclusion, the FFQ appears to be reasonably valid in the assessment of carbohydrate exposure variables, but the findings show a need for adjustment of diet -disease relationships for subjects' age and education.

Associations between sugar intake and the remaining diet are poorly described in modern food environments. We aimed at exploring associations of high naturally occurring and added sugar intakes with sociodemographic characteristics, intake of macronutrients, fibre and selected food groups. Our data comprised 4842 Finnish adults aged 25–74 years, who participated in the population-based DIetary, Lifestyle and Genetic determinants of Obesity and Metabolic syndrome (DILGOM) study. Diet was assessed by a validated 131-item FFQ. The food item disaggregation approach was used to estimate sucrose and fructose intakes from natural sources (naturally occurring sugar) and all other sources (added sugar). Sex-specific trends in macronutrient, fibre and food group intakes across sugar type quartiles were determined with general linear modelling adjusting for age, energy intake, leisure-time physical activity, smoking, education and BMI. Overall, results were similar across sexes. Young age was found to be a determinant of higher added sugar and lower naturally occurring sugar intakes (P < 0·0001). High added sugar intake was associated with low fibre intake (P < 0·0001) accompanied with lower fruit (P < 0·0001 women; P = 0·022 men) and vegetable consumption (P < 0·0001) and higher wheat consumption (P = 0·0003 women; P < 0·0001 men). Opposite results were found for naturally occurring sugar. Butter consumption increased by 28–32 % (P < 0·0001) when shifting from the lowest to the highest added sugar intake quartile, while a decrease of 26–38 % (P < 0·0001) was found for naturally occurring sugar. Therefore, the associations of sugar types with dietary carbohydrate and fat quality seem opposing. Proper adjustments with dietary variables are needed when studying independent relationships between sugar and health.

Background: High fructose intake has been suggested to be a key factor that induces nonalcoholic fatty liver disease (NAFLD), but the evidence from large epidemiologic studies is lacking. Objective: We examined the cross-sectional association between fructose intake and NAFLD by using the Fatty Liver Index (FLI) and the NAFLD liver fat score. Trained study nurses measured weight, height, and waist circumference, and body mass index was calculated. Laboratory staff drew fasting blood for measurements of triglycerides and g-glutamyl-transferase. The FLI and the NAFLD liver fat score were calculated on the basis of these measurements. Habitual fructose and other dietary intake over the past year were assessed by using validated and standardized 131-item food-frequency questionnaires. Data were analyzed in a cross-sectional manner by using logistic regression modeling with statistical software. Results: In a model adjusted for age, sex, and energy intake, participants in the highest fructose intake quartile (range: 29.2-88.0 g/d) had lower risk of NAFLD assessed by using the FLI (OR: 0.56; 95% CI: 0.42, 0.75; P-trend , 0.001) and NAFLD liver fat score (OR: 0.72; 95% CI: 0.53, 0.99; P-trend , 0.001) than that of the lowest intake quartile (range: 2.2-15.2 g/d). This association remained after adjustment for educational attainment, smoking, physical activity, and other dietary variables only for the FLI (OR: 0.68; 95% CI: 0.47, 0.84; P-trend , 0.05). Conclusion: Our cross-sectional results did not support the current hypothesis that high intake of fructose is associated with a higher prevalence of NAFLD as assessed by using the FLI and NAFLD liver fat score.