The aim of this work was to study potential gender differences in perceived food healthiness and food avoidance in a population-representative sample of the Swedish adult population.
A questionnaire ...regarding diet and health was posted to 2000 randomly selected residents in Sweden, aged 20-65 years. Questions were posed regarding which foods or food components the participants avoided due to perceived unhealthiness and how healthy they believed the food items to be. The pre-specified food components included sugar, carbohydrate, gluten, lactose, dairy, fat, saturated fat, red meat, white flour, salt, alcohol and food additives (specifically glutamate, sweetening, preservative and coloring agents). Chi square tests were used to study differences in perceived food healthiness and food avoidance depending on gender.
Around 50% reported avoidance of sugar (51.6%) and sweeting agents (45.2%), whereas fewer reported avoidance of saturated fat (16.8%) and salt (10.6%). Women were more likely than men to avoid gluten (AOR 95% CI 2.84 1.33-6.05), red meat (3.29 1.86-5.80), white flour (2.64 1.65-4.21), preservatives (1.7 1.07-2.70) and coloring agents (2.10 1.29-3.41) due to perceived unhealthiness. Gender differences were also apparent in perceived healthiness of sugar, gluten, dairy, red meat, white flour, alcohol and food additives, where women tended to be more negative than men in their attitudes. Women more often said to read new findings in media about diet (16% vs 9%, p = 0.029) and prioritize a healthy lifestyle (35% vs 25%, p = 0.015). More than a third of both women and men reported worrying over the healthiness of their diet, and a higher proportion of women than men (18% vs 11%, p = 0.015) agreed with the statement that they were often anxious over having an unhealthy diet.
Women in this population-based study of residents in Sweden were more likely than men to avoid eating gluten, red meat, white flour and food additives due to perceived unhealthiness, and reported more diet and health related anxiety. Future research to identify effective ways of promoting healthy eating for both women and men, while minimizing diet-health related anxiety, is highly warranted.
Dietary habits strongly influence health, with poor diets contributing to numerous deaths annually. Addressing this requires improved dietary habits and consistent monitoring thereof. In northern ...Sweden, a validated food frequency questionnaire (FFQ) has been used for decades, but trends show that its ability to accurately measure intake has diminished. With changing eating habits and food supply, updating the FFQ was crucial, leading to the development of FFQ2020. This study assessed FFQ2020's relative validity using 24-hour recalls and evaluated its reproducibility. Totally, 628 adults were invited to participate in the study. Of these, 320 joined, and 244 completed at least four 24HDRs. The median intakes in food groups, as well as the mean index scores and estimated nutrient intakes, were largely similar between the FFQ2020 and 24HDR recordings. The correlation coefficients between the two assessments ranged from 0.253 to 0.693 for food groups, 0.520 to 0.614 for diet indices, and 0.340 to 0.629 for energy and nutrients. Intra-class correlation coefficients indicated at least good reproducibility for intakes of food groups, diet index scores, and nutrients. Generally, Bland-Altman plots did not reveal any gross systematic disagreement between the two methods for any of the assessments. However, there were single observations located outside the upper or lower 95% confidence interval (CI) limits for the difference between FFQ2020 and the 24HDR recordings. In concert, the results suggest that the relative validity and reproducibility of FFQ2020 are acceptable for trend analyses and group comparisons in large-scale studies but also that extended reference periods would improve the precision of less frequently consumed foods.
To assess the associations between adherence to the Swedish dietary guidelines and all-cause mortality (i.e. assessing the index' ability to predict health outcomes), as well as levels of dietary ...greenhouse gas emissions (GHGEs).
A longitudinal study 1990-2016 within the population-based cohort Västerbotten Intervention Programme. Dietary data were based on FFQs. Diet quality was assessed by the Swedish Healthy Eating Index for Adults 2015 (SHEIA15), based on the 2015 Swedish dietary guidelines. Dietary GHGEs were estimated from life cycle assessment data including emissions from farm to industry gate. Hazard ratios (HR) and 95 % CI of all-cause mortality were evaluated with Cox proportional hazards regression, and differences in median GHGEs were tested between quintiles of SHEIA15 score using the Kruskal-Wallis one-way ANOVA test.
Northern Sweden.
In total, 49 124 women and 47 651 men, aged 35-65 years.
Median follow-up times were 16·0 years for women and 14·7 years for men, during which time 3074 women and 4212 men died. A consistent trend of lower all-cause mortality HR for both sexes with higher SHEIA15 scores was demonstrated. For women, the all-cause mortality HR was 0·81 ((95 % CI 0·71, 0·92);
= 0·001) and for men 0·90 ((95 % CI 0·81, 0·996);
= 0·041) between the quintile with the highest SHEIA15 score compared with the quintile with the lowest SHEIA15 score. A consistent trend of lower estimated dietary GHGEs among both sexes with higher SHEIA15 scores was also found.
Adherence to Swedish dietary guidelines, estimated by SHEIA15, seems to promote longevity and reduce dietary climate impact.
The aim of this study was to investigate the prevalence of active weight loss attempts in Sweden, and to study the extent to which overweight individuals may or may not correctly identify themselves ...as overweight. Additional aims were to determine the sociodemographic factors associated with following a specific dietary regimen and with attempts at losing weight. A postal questionnaire was sent to 2000 randomly selected men and women living in Sweden. The inclusion criteria was an age of 20-65 years. In total, the response rate was 28% and the completed questionnaires from 555 participants were analyzed in this study. In total, 46% of participants were overweight or obese by self-reported height and weight. Additionally, 42% of overweight and 90% of obese individuals correctly identified themselves as being overweight. Weight loss was pursued by 41% and was more common among women, those with higher physical activity, higher BMI and higher socioeconomic position. Overall, 22% followed a specific diet, and following a dietary regimen was associated with female gender, higher education level and overweight. In conclusion, almost half of the participants were either overweight or trying to lose weight. Trying to lose weight and following a specific dietary regimen were related to female gender, high BMI and higher socioeconomic position. This could indicate that the socioeconomic disparities in health are further exacerbated, as overweight individuals with poor socioeconomic position might be more likely to remain overweight.
Low-quality, non-diverse diet is a main risk factor for premature death. Accurate measurement of habitual diet is challenging and there is a need for validated objective methods. Blood metabolite ...patterns reflect direct or enzymatically diet-induced metabolites. Here, we aimed to evaluate associations between blood metabolite patterns and a priori and data-driven food intake patterns.
1, 895 participants in the Northern Sweden Health and Disease Study, a population-based prospective cohort study, were included. Fasting plasma samples were analyzed with
H Nuclear Magnetic Resonance. Food intake data from a 64-item validated food frequency questionnaire were summarized into a priori Healthy Diet Score (HDS), relative Mediterranean Diet Score (rMDS) and a set of plant-based diet indices (PDI) as well as data driven clusters from latent class analyses (LCA). Orthogonal projections to latent structures (OPLS) were used to explore clustering patterns of metabolites and their relation to reported dietary intake patterns.
Age, sex, body mass index, education and year of study participation had significant influence on OPLS metabolite models. OPLS models for healthful PDI and LCA-clusters were not significant, whereas for HDS, rMDS, PDI and unhealthful PDI significant models were obtained (CV-ANOVA p < 0.001). Still, model statistics were weak and the ability of the models to correctly classify participants into highest and lowest quartiles of rMDS, PDI and unhealthful PDI was poor (50%/78%, 42%/75% and 59%/70%, respectively).
Associations between blood metabolite patterns and a priori as well as data-driven food intake patterns were poor. NMR metabolomics may not be sufficiently sensitive to small metabolites that distinguish between complex dietary intake patterns, like lipids.
Appropriate gestational weight gain (GWG) is important for fetal development and maternal health, but it is unclear what dietary factors predict GWG. The aim of this study was to investigate the ...association between dietary quality during pregnancy and GWG. In total, 1113 pregnant women were recruited when registering for antenatal care. GWG was defined according to the Institute of Medicine (IOM) guidelines. GWG was calculated as measured body weight at registration for antenatal care, to gestational week 37 ± 2. Dietary intake was assessed using a food frequency questionnaire (FFQ) administered in gestational week >31. In total, 40% gained within the IOM GWG recommendations, 25% had insufficient GWG and 35% excessive GWG. Women with a poor or fair quality diet gained approximately 2 kg more than women with a high-quality diet. Poor dietary quality was also associated with higher odds of excessive GWG, due to fat quality and intake of discretionary foods. In conclusion, poor quality dietary intake is associated with lower adherence to the guidelines on weight gain in pregnancy. A diet characterised by high-quality fat intake, low consumption of discretionary foods and high nutrient intake may promote healthy weight gain and prevent excessive GWG.
Background High parity has been suggested to increase risk of maternal cardiovascular disease independent of body mass index measured after childbearing. Pregnancy is, however, associated with ...persistent weight gain and metabolic changes that, independent of parity, increase the risk of cardiovascular disease. It could therefore be questioned if high parity independently increases the risk of cardiovascular disease or if this association may be confounded, mediated, or modified by other parity-related factors. Objective We sought to investigate the association between parity and risk of cardiovascular disease, and secondary outcomes in terms of myocardial infarction and cerebral infarction, with particular focus on potential mediation by anthropometric measures and effect modification by lactation. Study Design We used data from 16,515 female participants (age 44.5-73.6 years) of the population-based Malmö Diet and Cancer Study with baseline examination from 1991 through 1996. The Malmö Diet and Cancer Study was followed up throughout 2010, with a median follow-up of 15.8 years. We used Cox proportional hazards model to examine the association between parity and cardiovascular disease. Results Adjusted for age and other potential confounders, grand multiparous women (≥5 children) had an increased risk of cardiovascular disease (hazard ratio, 1.60; 95% confidence interval, 1.20–2.14), myocardial infarction (hazard ratio, 1.68; 95% confidence interval, 1.15–2.45), and cerebral infarction (hazard ratio, 1.74; 95% confidence interval, 1.18–2.58) compared to women with 2 children. Additional adjustment for baseline body mass index and weight change since age 20 years attenuated the risk, but the increased risk for cardiovascular disease (hazard ratio, 1.38; 95% confidence interval, 1.02–1.87) and myocardial infarction (hazard ratio, 1.53; 95% confidence interval, 1.04–2.26) in grand multiparous women remained significant. Models stratified by lactation time showed that risk was only raised in grand multiparous women who had a mean lactation time of <4 mo/child. In sensitivity analyses excluding women with a history of diabetes at baseline, risk estimates for grand multiparous women became nonsignificant in the full model. Conclusion Part of the increased risk of cardiovascular disease and myocardial infarction in grand multiparous women seems to be mediated by weight gain and potentially by higher likelihood of type 2 diabetes mellitus. Lactation may modify the increased risk of grand multiparity in that longer duration might offset the cardiovascular disease risk.
Irritable bowel syndrome (IBS) is a multi-faceted gastrointestinal disorder where food intake often triggers symptoms. Metabolomics may provide mechanistical insights to why responses to dietary ...modifications are diverse. This study aimed to identify metabolite patterns related to dietary intake in patients with IBS, and to identify metabolites driving the separation between responders and non-responders to treatment. Twenty-five individuals in the LFD (13 responders) and 28 in the TID (14 responders) were included in these post hoc analyses. In endpoint samples, significant decreases in polyols and glucose were seen in the LFD. Post-intervention samples revealed that LFD responders had significantly increased levels of 2-hydroxybuturate and decreased levels of glucose and pantothenic acid compared to non-responders. For the TID, only weak multivariate models were identified and a larger diversity in metabolite response compared to the LFD were noted. In this study, metabolite patterns between individuals who responded well to an LFD compared to non-responders could be distinguished. This provides new hypotheses for mechanistic actions related to response to dietary modifications, but the results need to be validated in larger cohorts.
Objective and reliable methods to measure dietary exposure and prove associations and causation between diet and health are desirable.
The aim of this study was to investigate if 1H-nuclear magnetic ...resonance (1H-NMR) analysis of serum samples may be used as an objective method to discriminate vegan, vegetarian, and omnivore diets. Specifically, the aim was to identify a metabolite pattern that separated meat-eaters from non–meat-eaters and vegans from nonvegans.
Healthy volunteers (45 men and 75 women) complying with habitual vegan (n = 43), vegetarian (n = 24 + vegetarians adding fish n = 13), or omnivore (n = 40) diets were enrolled in the study. Data were collected on clinical phenotype, body composition, lifestyle including a food-frequency questionnaire (FFQ), and a 4-d weighed food diary. Serum samples were analyzed by routine clinical test and for metabolites by 1H-NMR spectroscopy. NMR data were nonnormalized, UV-scaled, and analyzed with multivariate data analysis principal component analysis, orthogonal projections to latent structures (OPLS) and OPLS with discriminant analysis. In the multivariate analysis volunteers were assigned as meat-eaters (omnivores), non–meat-eaters (vegans and vegetarians), vegans, or nonvegans (lacto-ovo-vegetarians, vegetarians adding fish, and omnivores). Metabolites were identified by line-fitting of 1D 1H-NMR spectra and the use of statistical total correlation spectroscopy.
Although many metabolites differ in concentration between men and women as well as by age, body mass index, and body composition, it was possible to correctly classify 97.5% of the meat-eaters compared with non–meat-eaters and 92.5% of the vegans compared with nonvegans. The branched-chain amino acids, creatine, lysine, 2-aminobutyrate, glutamine, glycine, trimethylamine, and 1 unidentified metabolite were among the most important metabolites in the discriminating patterns in relation to intake of both meat and other animal products.
1H-NMR serum metabolomics appears to be a possible objective tool to identify and predict habitual intake of meat and other animal products in healthy subjects. These results should be confirmed in larger cohort studies or intervention trials. This trial was registered at clinicaltrials.gov as NCT02039609.
Our objective was to validate vitamin D intake from a short vitamin D questionnaire (VDQ) and a longer online food frequency questionnaire (FFQ) against a food record and 25-hydroxyvitamin D (25OHD) ...as a biomarker of vitamin D status, among pregnant women in Sweden. The number of women included was 1125 with VDQ, FFQ and 25OHD, and of those, 64 also completed the food record. Median vitamin D intakes were 3.9 µg by VDQ (
< 0.001), and 5.3 µg by FFQ (
= 0.89), compared to 5.0 µg by food record. Correlations between vitamin D intake from food record and VDQ (rho = 0.51,
< 0.001) or FFQ (rho = 0.49,
< 0.001) were similar. The VDQ and FFQ also had a similar ability to rank the individuals according to vitamin D intake. However, only vitamin D intake from the VDQ was significantly associated with vitamin D status as assessed by 25OHD. The validation coefficient for the VDQ was 0.68 and 0.75 for the FFQ. In conclusion, assessing dietary vitamin D intake is challenging, regardless of the dietary assessment method. The VDQ, that includes only four food items, is a valid, simple and useful tool in assessing vitamin D intake of pregnant women in Sweden, while imposing a minimal burden on women and researchers.
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