Mia-Maria Perälä

Body Size at Birth Is Associated with Food and Nutrient Intake in Adulthood

Background Small 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 Findings We 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. Conclusions Prenatal 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.

Leukocyte telomere length and its relation to food and nutrient intake in an elderly population

Background/objectives:Shorter leukocyte telomere length (LTL) is associated with several chronic diseases, but only a few studies have assessed the association between dietary factors and LTL. Our objective was to study the association between fats, fruits, vegetables and LTL in a cross-sectional study design. We hypothesized that intakes of fruits and vegetables would be positively associated with LTL and that intakes of fats, and especially saturated fatty acids (SFAs), would be negatively associated with LTL.Subjects/methods:LTL was measured by quantitative real-time polymerase chain reaction in 1942 men and women aged 57–70 years from the Helsinki Birth Cohort Study. We assessed the whole diet by a validated semiquantitative 128-item food-frequency questionnaire.Results:In general, there were only a few significant results. However, total fat and SFA intake (P=0.04 and 0.01, respectively) were inversely associated with LTL in men adjusting for age and energy intake. In women, vegetable intake was positively associated with LTL (P=0.05). Men consuming the most butter and least fruits had significantly shorter telomeres than those consuming the lowest amounts of butter and highest amounts of fruits (P=0.05). We found no association between LTL and body mass index, waist–hip ratio, smoking, physical activity or educational attainment.Conclusions:In this cross-sectional study of elderly men and women, there were only a few statistically significant effects of diet, but in general they support the hypothesis that fat and vegetable intakes were associated with LTL.

Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry

Abstract Obesity is highly heritable. Genetic variants showing robust associations with obesity traits have been identified through genome-wide association studies. We investigated whether a composite score representing healthy diet modifies associations of these variants with obesity traits. Totally, 32 body mass index (BMI)- and 14 waist–hip ratio (WHR)-associated single nucleotide polymorphisms were genotyped, and genetic risk scores (GRS) were calculated in 18 cohorts of European ancestry (n = 68 317). Diet score was calculated based on self-reported intakes of whole grains, fish, fruits, vegetables, nuts/seeds (favorable) and red/processed meats, sweets, sugar-sweetened beverages and fried potatoes (unfavorable). Multivariable adjusted, linear regression within each cohort followed by inverse variance-weighted, fixed-effects meta-analysis was used to characterize: (a) associations of each GRS with BMI and BMI-adjusted WHR and (b) diet score modification of genetic associations with BMI and BMI-adjusted WHR. Nominally significant interactions (P = 0.006–0.04) were observed between the diet score and WHR-GRS (but not BMI-GRS), two WHR loci (GRB14 rs10195252; LYPLAL1 rs4846567) and two BMI loci (LRRN6C rs10968576; MTIF3 rs4771122), for the respective BMI-adjusted WHR or BMI outcomes. Although the magnitudes of these select interactions were small, our data indicated that associations between genetic predisposition and obesity traits were stronger with a healthier diet. Our findings generate interesting hypotheses; however, experimental and functional studies are needed to determine their clinical relevance.

Personality and Dietary Intake – Findings in the Helsinki Birth Cohort Study

Background Personality traits are associated with health outcomes including non-communicable diseases. This could be partly explained by lifestyle related factors including diet. The personality traits neuroticism, extraversion, openness, agreeableness, and conscientiousness are linked with resilience, meaning adaptability in challenging situations. Resilient people usually comply with favorable health behaviors. Objective Our objective was to explore the associations between food and nutrient intake, personality traits and resilience. Design A validated semi-quantitative food frequency questionnaire was used to measure diet and the NEO-personality inventory to assess personality in 1681 subjects. Linear regression analysis was used to explore diet-personality associations and cluster analysis to define resilient and non-resilient personality profiles. Results Adjusting for age, education and energy intake, and applying Bonferroni corrections, openness in men was associated with higher vegetable (14.9 g/d for 1 SD increase in the personality score, PBonf <0.01) and lower confectionery and chocolate (−2.8 g/d, PBonf <0.01) intakes. In women, neuroticism was associated with lower fish (−4.9 g/d, PBonf <0.001) and vegetable (−18.9 g/d, PBonf <0.01) and higher soft drink (19.9 g/d, PBonf <0.001) intakes. Extraversion, in women, associated with higher meat (5.9 g/d, PBonf <0.05) and vegetable (24.8 g/d, PBonf<0.001) intakes, openness with higher vegetable (23.4 g/d, PBonf <0.001) and fruit (29.5 g/d, PBonf <0.01) intakes. Agreeableness was associated with a lower soft drink (−16.2 g/d, PBonf <0.01) and conscientiousness with a higher fruit (32.9 g/d, PBonf<0.01) intake in women. Comparing resilient and non-resilient subjects, we found resilience in women to be associated with higher intakes of vegetables (52.0 g/d, P<0.001), fruits (58.3 g/d, P<0.01), fish (8.6 g/d, P<0.01) and dietary fiber (1.6 g/d, P<0.01). Conclusion Personality traits are associated with dietary intake and especially subjects with resilient personality profiles had healthier dietary intakes. These associations were stronger in women than in men.

Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians

BACKGROUND Recent studies suggest that meat intake is associated with diabetes-related phenotypes. However, whether the associations of meat intake and glucose and insulin homeostasis are modified by genes related to glucose and insulin is unknown. OBJECTIVE We investigated the associations of meat intake and the interaction of meat with genotype on fasting glucose and insulin concentrations in Caucasians free of diabetes mellitus. DESIGN Fourteen studies that are part of the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium participated in the analysis. Data were provided for up to 50,345 participants. Using linear regression within studies and a fixed-effects meta-analysis across studies, we examined 1) the associations of processed meat and unprocessed red meat intake with fasting glucose and insulin concentrations; and 2) the interactions of processed meat and unprocessed red meat with genetic risk score related to fasting glucose or insulin resistance on fasting glucose and insulin concentrations. RESULTS Processed meat was associated with higher fasting glucose, and unprocessed red meat was associated with both higher fasting glucose and fasting insulin concentrations after adjustment for potential confounders [not including body mass index (BMI)]. For every additional 50-g serving of processed meat per day, fasting glucose was 0.021 mmol/L (95% CI: 0.011, 0.030 mmol/L) higher. Every additional 100-g serving of unprocessed red meat per day was associated with a 0.037-mmol/L (95% CI: 0.023, 0.051-mmol/L) higher fasting glucose concentration and a 0.049-ln-pmol/L (95% CI: 0.035, 0.063-ln-pmol/L) higher fasting insulin concentration. After additional adjustment for BMI, observed associations were attenuated and no longer statistically significant. The association of processed meat and fasting insulin did not reach statistical significance after correction for multiple comparisons. Observed associations were not modified by genetic loci known to influence fasting glucose or insulin resistance. CONCLUSION The association of higher fasting glucose and insulin concentrations with meat consumption was not modified by an index of glucose- and insulin-related single-nucleotide polymorphisms. Six of the participating studies are registered at clinicaltrials.gov as NCT0000513 (Atherosclerosis Risk in Communities), NCT00149435 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetics of Lipid Lowering Drugs and Diet Network), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).

Early growth and non-alcoholic fatty liver disease in adulthood—the NAFLD liver fat score and equation applied on the Helsinki Birth Cohort Study

Abstract Introduction. Prenatal and childhood growth influence the risk of developing the metabolic syndrome and type 2 diabetes. Both conditions are associated with non-alcoholic fatty liver disease (NAFLD). Our aim was to explore the associations between early growth and adult NAFLD. Methods. We studied 1587 individuals from the Helsinki Birth Cohort Study (HBCS) born 1934–44 for whom birth, childhood, and adult clinical data were available. NAFLD was defined using the NAFLD liver fat score and equation. The score was converted into a dichotomous variable, with outcomes defined as either a positive or negative score. The equation predicts liver fat percentage. Results. A positive score was found in 43% of men and 22.5% of women. Several measurements of birth and childhood body size were negatively associated with both NAFLD outcomes after adjustment for adult BMI. Those from the smallest BMI tertile at age 2 who were obese in adulthood had an OR of 18.5 for a positive score compared to those from the same group who were normal weight in adulthood. Conclusions. A larger childhood body size was negatively associated with NAFLD outcomes. Individuals who are small during early childhood and obese as adults seem to be at the highest risk of developing NAFLD.

Modifying effects of alcohol on the postprandial glucose and insulin responses in healthy subjects

BACKGROUND Moderate alcohol consumption associates with lower risk of type 2 diabetes, but in postprandial studies, alcohol induced impaired insulin sensitivity. The measurement of the glycemic index (GI) for beer has been considered challenging because of its low carbohydrate content. Therefore, imputed GI values from 36 to 95 on the basis of carbohydrate-rich beverages have been used for beer in epidemiologic studies. OBJECTIVES We investigated the acute effects of alcohol on glucose and insulin responses and measured GIs and insulinemic indexes (IIs) of nonalcoholic and alcoholic beers. DESIGN In a crossover design, 10 healthy volunteers were served beer with 4.5% alcohol by volume, nonalcoholic beer, and a glucose solution with alcohol once and the reference glucose solution twice. Each portion contained 25 g available carbohydrate, and the beer and glucose solution with alcohol contained 21 g alcohol. Capillary blood samples were collected up to 2 h after ingestion, and the incremental AUCs (IAUCs), GIs, and IIs were calculated. RESULTS Compared with the reference glucose solution, the glucose solution with alcohol produced an 18% higher postprandial glucose IAUC (P = 0.03) and had no significant effect on the insulin IAUC. Compared with the reference glucose solution, beer had no significant effect on glucose or insulin IAUCs, and nonalcoholic beer tended to reduce the glucose IAUC (P = 0.06) but not the insulin IAUC. GIs of beer and nonalcoholic beer were 119 and 80, and IIs were 130 and 88, respectively. CONCLUSIONS Alcohol increases the postprandial glucose response, probably through impaired insulin sensitivity. GI values published for alcohol-containing beers have underestimated the true glycemic effects.

The association between salt intake and adult systolic blood pressure is modified by birth weight

BACKGROUND Epidemiologic evidence suggests that prenatal growth influences adult blood pressure. Nutritional factors, including salt intake, also influence blood pressure. However, it is unknown whether prenatal growth modifies the association between salt intake and blood pressure in later life. OBJECTIVE Our aim was to examine whether the relation between salt intake and adult blood pressure is modified by birth weight. DESIGN We studied 1512 participants of the Helsinki Birth Cohort Study who were born between 1934 and 1944. Information on birth weight was abstracted from birth records, and preterm births were excluded. During a clinical study, at the mean age of 62 y, blood pressure, weight, and height were measured. Diet was assessed with a validated food-frequency questionnaire. The relation between salt intake and blood pressure was tested by a piecewise multivariate regression analysis with the best fitting breakpoints to birth weight and salt intake. RESULTS An inverse association was observed between birth weight and systolic blood pressure (SBP) (P = 0.02). No significant association between salt intake and SBP was observed in the whole study population. Of those whose birth weight was ≤3050 g, a 1-g higher daily salt intake was associated with a 2.48-mm Hg (95% CI: 0.40, 4.52 mm Hg) higher SBP (P = 0.017) until the saturation point of 10 g. Of those whose birth weight exceeded 3050 g, SBP was not significantly associated with salt intake. For diastolic blood pressure, no significant relations were observed. CONCLUSION Adult individuals with low birth weight may be particularly sensitive to the blood pressure-raising effect of salt.

Early growth and postprandial appetite regulatory hormone responses.

Strong epidemiological evidence suggests that slow prenatal or postnatal growth is associated with an increased risk of CVD and other metabolic diseases. However, little is known whether early growth affects postprandial metabolism and, especially, the appetite regulatory hormone system. Therefore, we investigated the impact of early growth on postprandial appetite regulatory hormone responses to two high-protein and two high-fat content meals. Healthy, 65-75-year-old volunteers from the Helsinki Birth Cohort Study were recruited; twelve with a slow increase in BMI during the first year of life (SGI group) and twelve controls. Subjects ate a test meal (whey meal, casein meal, SFA meal and PUFA meal) once in a random order. Plasma glucose, insulin, TAG, NEFA, ghrelin, peptide tyrosine-tyrosine (PYY), glucose-dependent insulinotropic peptide, glucagon-like peptide-1 and a satiety profile were measured in the fasting state and for 4 h after each test meal. Compared with the controls, the SGI group had about 1·5-fold higher insulin responses after the whey meal (P= 0·037), casein meal (P= 0·023) and PUFA meal (P= 0·002). TAG responses were 34-69 % higher for the SGI group, but only the PUFA-meal responses differed significantly between the groups. The PYY response of the SGI group was 44 % higher after the whey meal (P= 0·046) and 115 % higher after the casein meal (P= 0·025) compared with the controls. No other statistically significant differences were seen between the groups. In conclusion, early growth may have a role in programming appetite regulatory hormone secretion in later life. Slow early growth is also associated with higher postprandial insulin and TAG responses but not with incretin levels.

Impact of Early Growth on Postprandial Responses in Later Life

Background Low birth weight and slow growth during infancy are associated with increased rates of chronic diseases in adulthood. Associations with risk factors such as fasting glucose and lipids concentrations are weaker than expected based on associations with disease. This could be explained by differences in postprandial responses, which, however, have been little studied. Our aim was to examine the impact of growth during infancy on postprandial responses to a fast-food meal (FF-meal) and a meal, which followed the macro-nutrient composition of the dietary guidelines (REC-meal). Methodology/Principal Findings We recruited 24 overweight 65–75 year-old subjects, 12 with slow growth during infancy (SGI-group) and 12 with normal early growth. All the subjects were born at term. The study meals were isocaloric and both meals were consumed once. Plasma glucose, insulin, triglycerides (TG) and free fatty acids (FFA) were measured in fasting state and over a 4-h period after both meals. Subjects who grew slowly during infancy were also smaller at birth. Fasting glucose, insulin or lipid concentrations did not differ significantly between the groups. The TG responses were higher for the SGI-group both during the FF-meal (P = 0.047) and the REC-meal (P = 0.058). The insulin responses were significantly higher for the SGI-group after the FF-meal (P = 0.036). Glucose and FFA responses did not differ significantly between the groups. Conclusions Small birth size and slow early growth predict postprandial TG and insulin responses. Elevated responses might be one explanation why subjects who were small at birth and experiencing slow growth in infancy are at an increased risk of developing cardiovascular diseases in later life.