Changes in food intake patterns during 2000-2007 and 2008-2016 in the population-based Northern Sweden Diet Database

Spatiotemporal trends in the burden of colorectal cancer incidence and risk factors at country level from 1990 to 2019

BACKGROUND AND AIM

Worldwide, the incidence of colorectal cancer (CRC) continues to rise and remains a major public health concern. This study aimed to analyze the temporal and spatial trends in CRC incidence and related risk factors at the country level.

METHODS

Data on CRC and related risk factors were obtained from the Global Burden of Disease Study (GBD) 2019 study. Temporal trends were evaluated using estimated annual percentage change while spatial trends were analyzed using spatial autocorrelation and autoregression. Additionally, linear mixed-effects models were employed to identify risk factors linked to CRC incidence.

RESULTS

Globally, from 1990 to 2019, the incidence cases of CRC increased by 157.23%. At the national level, the incidence of CRC increased in most countries, with the highest increases of age-standardized incidence rate (ASIR) in Equatorial Guinea, Vietnam, and China. In both 1990 and 2019, global spatial clustering of CRC ASIR highlighted hotspots in Europe, characterized by elevated CRC ASIR levels. A comparative analysis of risk factors between hotspot countries and others indicated that gender and alcohol use exerted greater influence in hotspots than elsewhere.

CONCLUSION

Although from 1990 to 2019, the highest growth in ASIR of CRC has been observed in African, Asian, and Latin American countries, the hotspots are still concentrated in Europe. In the identified hotspots, gender and alcohol use exert a more significant impact on CRC incidence compared with other countries. Thus, we should pay attention to countries where the CRC incidence is increasing and these risk factors.

Dietary pattern trajectories in French adults of the NutriNet-Santé cohort over time (2014-2022): role of socio-economic factors

Despite the urgent need for plant-based dietary shifts, few studies have examined current diet trajectories using longitudinal data. This study analyzed dietary transitions of French adults over 8 years (2014-2022), assessing diet quality and the role of various socio-economic factors. Consumption data from 17 187 NutriNet-Santé cohort participants, weighted for the French Census, were collected via FFQ in 2014, 2018 and 2022. Adopting a gender-specific approach, consumption changes in twenty-three food groups were assessed over time. Diet quality was evaluated using the Comprehensive Diet Quality Index score, categorising foods into 'healthy' and 'unhealthy'. Socio-economic analysis targeted four food groups (red meat (including fresh beef, pork, offal and lamb), processed meat (e.g. sausages, ham and bacon), legumes and whole-grain products), strongly linked to mortality risk and recognised as significant markers of the sustainable diet transition. All analyses were conducted using multi-adjusted mixed-effects models. Consumption of some healthy plant-based foods (nuts +59 %, legumes +22 %, whole-grain products +7 %) significantly increased over time, while consumption of some unhealthy foods (red meat -19 %, refined cereals -18 %, sweetened drinks -15 %) decreased. Conversely, consumption of prepared and mixed dishes (+16 %) and processed meat (+35 %) increased. These changes differed in magnitude between genders and translated into an improved diet quality score (Comprehensive Diet Quality Index). Occupational status was linked to longitudinal changes in food consumption, showing increased consumption of plant-based foods among students and higher socio-professional categories. Our findings provide accurate data on trends and factors for targeted initiatives, guiding strategic interventions for a sustainable dietary transition.

Validation of a digital food frequency questionnaire for the Northern Sweden Diet Database

BACKGROUND

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.

METHODS

Participants were recruited from one of the northern-Sweden population-based health screenings and by advertising. Food intake was registered in an electronic food frequency questionnaire (FFQ2020) (test instrument) and reference data were obtained by six repeated electronic 24-hour dietary recalls (24HDR). Intakes of single foods were aggregated into food groups and healthy diet index scores, and daily energy and nutrient intakes were estimated. Results from the two methods were described and tested in univariate analyses and correlation tests, Bland Altman plots, cross-classification validity, and intra-class correlation analyses.

RESULTS

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.

CONCLUSION

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.

Dietary patterns - A scoping review for Nordic Nutrition Recommendations 2023

Background

A dietary pattern can be defined as the quantities, proportions, variety, or combination of foods and drinks typically consumed. The dietary pattern approach aims to place emphasis on the total diet as a long-term health determinant, instead of focussing on separate foods and nutrients, which may interact or confound each other.

Aim

This scoping review describes the totality of evidence for the role of dietary patterns for health-related outcomes as a basis for setting and updating food-based dietary guidelines in the Nordic Nutrition Recommendations 2023 (NNR2023).

Methods

We used evidence from 10 qualified systematic reviews identified by the NNR2023 project. No additional literature search was conducted.

Results

Strong or moderate evidence linked dietary patterns high in vegetables, fruits, whole grains, fish, low-fat dairy and legumes, and low in red and processed meats, sugar-sweetened beverages, sugary foods- and refined grains with beneficial health outcomes, such as reduced risk of cardiovascular disease (CVD), type 2 diabetes, obesity, cancer, bone health, and premature death. We also found limited evidence suggesting a relationship with the described dietary patterns in childhood and decreased risk of obesity and hypertension later in life. Most studies have been conducted among adult populations, and thus, there is a need for studies in certain subgroups, such as children and adolescents as well as the elderly.

Towards objective measurements of habitual dietary intake patterns: comparing NMR metabolomics and food frequency questionnaire data in a population-based cohort

BACKGROUND

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.

METHODS

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 1H 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.

RESULTS

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).

CONCLUSION

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.

Disparities in fruit and vegetable intake at the intersection of gender and education in northern Sweden: a cross-sectional study

BACKGROUND

Even though the existence of inequalities in fruit and vegetable consumption has been well established, it is not clear how it is patterned across intersections of multiple social positions and identities. This study aims to investigate disparities in fruit and vegetable intake between groups at the intersection of education and gender in northern Sweden, and to estimate the discriminatory accuracy of the intersectional groups.

METHODS

Cross-sectional data from the 2018 Health on Equal Terms survey conducted in four regions in northern Sweden was used (N = 21,853). Four intersectional groups were created: high and low educated men, and high and low educated women. Prevalence differences corresponding to joint, referent, and excess intersectional inequalities, were estimated for three outcomes: inadequate fruit and vegetable intake combined, inadequate fruit intake, and inadequate vegetable intake. The discriminatory accuracy of the intersectional groups was estimated by the area under the receiver operating characteristic curve.

RESULTS

Low educated men had the highest prevalence of inadequate intake of fruits and vegetables combined (81.4%), fruits (83.4%), and vegetables (84.9%), while high educated women had the lowest (47.7, 60.2, and 51.8%, respectively). The joint disparities between high educated women and low educated men were both significant and substantial for all outcomes (34.6 percentage points (pp.), 25.2 pp., and 31.2 pp., adjusted), although differences in magnitude were noted between fruit and vegetable intake. The joint disparities were mostly explained by the two referent disparities for gender and education. The excess intersectional disparity - the part of the joint disparity not explained by either referent disparity - was negative for all three outcomes (-5.5 pp., - 4.2 pp., and - 4.6 pp. respectively, adjusted). The discriminatory accuracy of the intersectional groups was moderate (0.67, 0.65, and 0.68 respectively).

CONCLUSIONS

An intersectional approach can provide a more detailed view of inequalities in fruit and vegetable consumption between groups combining several social positions. The moderate discriminatory accuracy observed here suggests that interventions and policies aiming to reduce diet inequalities should not solely be targeted at certain groups, but also be universal.

Human gut microbiota composition and its predicted functional properties in people with western and healthy dietary patterns

PURPOSE

Some dietary habits cluster together, and for this reason it is advised to study the impact of entire dietary patterns on human health, rather than that of individual dietary habits. The main objective of this study was to evaluate differences in gut microbiota composition and their predicted functional properties between people with a healthy (HDP) and western (WDP) dietary pattern.

METHODS

A cross-sectional, observational study was carried out on 200 participants enrolled 2017-2018 in Poznań, Poland, equally distributed into HDP and WDP groups. Diet was estimated using 3-day food records and information on stool transit times was collected. Fecal microbiota composition was assessed by 16S rRNA gene sequencing and its functional properties were predicted by the PICRUSt2 workflow.

RESULTS

The α-diversity did not differ between people with WDP and HDP, but β-diversity was associated with dietary pattern. People with HDP had higher relative abundances (RA) of Firmicutes and Faecalibacterium and lower RA of Bacteroidota and Escherichia-Shigella than participants with WDP. Only a small proportion of the variance in microbiota composition (1.8%) and its functional properties (2.9%) could be explained by dietary intake (legumes, simple sugars and their sources, like fruit, soft drinks) and stool transit characteristics.

CONCLUSION

Gut microbiota composition and predicted metabolic potential is shaped by overall diet quality as well as the frequency of defecation; however, the cumulative effect of these explain only a relatively low proportion of variance.

Nutrient Intake and Dietary Inflammatory Potential in Current and Recovered Anorexia Nervosa

Anorexia nervosa (AN) is characterised by disrupted and restrictive eating patterns. Recent investigations and meta-analyses have found altered concentrations of inflammatory markers in people with current AN. We aimed to assess nutrient intake in participants with current or recovered AN, as compared to healthy individuals, and explore group differences in dietary inflammatory potential as a possible explanation for the observed alterations in inflammatory markers. We recruited participants with current AN (n = 51), those recovered from AN (n = 23), and healthy controls (n = 49). We used the Food Frequency Questionnaire (FFQ), to calculate a Dietary Inflammatory Index (DII^®) score and collected blood samples to measure serum concentrations of inflammatory markers. In current AN participants, we found lower intake of cholesterol, compared to HCs, and lower consumption of zinc and protein, compared to HC and recovered AN participants. A one-way ANOVA revealed no significant group differences in DII score. Multivariable regression analyses showed that DII scores were significantly associated with tumour necrosis factor (TNF)-α concentrations in our current AN sample. Our findings on nutrient intake are partially consistent with previous research. The lack of group differences in DII score, perhaps suggests that diet is not a key contributor to altered inflammatory marker concentrations in current and recovered AN. Future research would benefit from including larger samples and using multiple 24-h dietary recalls to assess dietary intake.

Easy Diet Screener: A quick and easy tool for determining dietary patterns associated with lipid profile and body adiposity

BACKGROUND

There is a lack of simple tools that could allow members of the general population to estimate their own dietary patterns and to associate them with unfavourable health outcomes. The present study aimed to develop and validate a simple self-administered tool, called the Easy Diet Screener (EDS), that would identify healthy and unhealthy dietary patterns and evaluate their association with unfavourable blood and anthropometric parameters (i.e. values outside the recommended values).

METHODS

In total, 259 adult people (31-50 years of age) participated in this observational study. They filled out an online version of the EDS questionnaire; those who scored highly were assigned to the healthy dietary pattern (HDP) group, whereas those with a low score were assigned to the western dietary pattern (WDP) group. The dietary records, anthropometric and biochemical parameters were evaluated in a subset of 200 participants who obtained similar score in the repeated EDS (paper version).

RESULTS

People assigned to HDP on the basis of EDS had significantly better diet quality than those assigned to WDP, with values of the Healthy Eating Index being 76.9 ± 9.2 and 58.7 ± 10.5, respectively. People classed as WDP had a higher risk of too high serum low-density lipoproteins [odds ratio (OR) = 2.65], triglycerides (OR = 3.67), body mass index (OR = 2.87) and percentage of fat tissue (OR = 3.98) than did people in the HDP.

CONCLUSIONS

EDS is an easy tool for quickly identifying healthy and western dietary patterns that are associated with lipid profile and body adiposity.

Long-term trends of BMI and cardiometabolic risk factors among adults with type 1 diabetes: An observational study from the German/Austrian DPV registry

AIMS

To analyse time-trends in BMI, obesity and cardiometabolic risk in adults with type 1 diabetes (T1DM) from the Diabetes Prospective Follow-up registry DPV.

METHODS

Data from 62,519 individuals with T1DM (age ≥ 18 years, BMI ≥ 18.5 kg/m²) were analysed. Multivariable regression models were used to determine time-trends in BMI, obesity and cardiometabolic risk and to identify predictors for increasing BMI. Results were compared to the NCD Risk Factor Collaboration (NCD-RisC) data for Germany.

RESULTS

Between 1999 and 2018 mean BMI increased from 25.0 kg/m² to 26.2 kg/m² in individuals with T1DM. This trend was most pronounced in young and middle-aged individuals (>21-55 years of age) and in those with higher baseline BMI. Insulin dose and diabetes duration were associated with increasing BMI. Between 1999 and 2016, the prevalence of obesity increased 1.8-fold in individuals with T1DM and 1.4-fold among the German population, respectively (NCD-RisC). Approximately 50-70% of individuals with obesity were insufficiently treated for hypertension and/or dyslipidaemia.

CONCLUSION

In adults with T1DM the prevalence of obesity is increasing at a faster pace than in the German population. BMI needs to be closely monitored, particularly during young adulthood, and cardiovascular risk factors need to be controlled better to prevent CVD and premature death.

Intake of Vegetables, Fruits and Berries and Compliance to "Five-a-Day" in a General Norwegian Population-The Tromsø Study 2015-2016

Vegetables, fruits and berries are associated with reduced disease risk, and recommended intake is “five-a-day”. We studied the intake of vegetables, fruits and berries and compliance with “five-a-day” in 11,425 adults (40–96 years) who completed a food frequency questionnaire in the seventh wave of the Tromsø Study (2015–2016). Intake and proportion above/below recommended intake (250 g/day of vegetables and 250 g/day of fruits/berries, combined and separately) were analyzed. Logistic regression was used to examine compliance with recommendations in 10-year age-groups, and level of education, body mass index (BMI) and physical activity, in strata of sex and adjusted for total energy. Median intake of vegetables was 228 and 168 g/day, and fruits/berries 292 and 268 g/day, in women and men, respectively. In total, 31% of women and 17% of men met the five-a-day recommendation, and 44% and 60% of women, and 25% and 54% of men, met the recommendation for vegetables and fruits/berries, respectively. Odds of compliance with recommendation for both vegetables and fruits/berries were positively associated with age, education and physical activity (p trend < 0.001). The intake of vegetables, fruits and berries was suboptimal, in particular for vegetables. More women than men met the recommendation, and intake varied by education, physical activity level, age and BMI.

Diets benefiting health and climate relate to longevity in northern Sweden

BACKGROUND

Diets combining adequate nutritional quality and low climate impact are highly needed for human and planet health.

OBJECTIVES

We aimed to 1) evaluate nutrient density indexes' ability to predict mortality, and 2) assess the effects of diets varying in nutrient density and climate impact on total mortality.

METHODS

Dietary data from 49,124 women and 47,651 men aged 35-65 y in the population-based prospective study Västerbotten Intervention Programme (Sweden) were used. Greenhouse gas emissions (GHGEs) were estimated using data from life cycle assessments. Fifteen variants of nutrient density indexes were evaluated and the index that best predicted mortality was used to estimate participants' nutrient density. GHGEs and nutrient density were adjusted for energy intakes. Total mortality risk was estimated by Cox proportional hazards models for 4 groups of women and men, respectively, i.e., higher nutrient density, lower climate impact (HNutr/LClim); higher nutrient density, higher climate impact (HNutr/HClim); lower nutrient density, lower climate impact (LNutr/LClim); and lower nutrient density, higher climate impact (LNutr/HClim-reference group).

RESULTS

NRF11.3, a Sweden-adapted variant of the Nutrient Rich Foods index, was identified to have the best ability to predict mortality in the study population. Median follow-up times for women and men were 16.0 and 14.7 y, respectively. For women a significantly lower mortality risk was found for HNutr/LClim (HR: 0.87; 95% CI: 0.79, 0.96; P = 0.008) and HNutr/HClim (HR: 0.87; 95% CI: 0.78, 0.97; P = 0.011) than for LNutr/HClim. Among men LNutr/LClim had a significantly higher mortality risk (HR: 1.10; 95% CI: 1.01, 1.21; P = 0.033) than LNutr/HClim.

CONCLUSIONS

Diets beneficial for both health and climate are feasible and associated with lower mortality risk in women. Further studies are needed to understand how men may transition into diets that are more sustainable from a combined health and climate perspective.

Food Consumption Patterns of Male and Female Undergraduate Students in Indonesia During New Normal Implementation of Pandemic Covid-19 Era

AIM: This study aimed to analyze the description of Indonesian undergraduate students’ food consumption patterns during the COVID-19 period. METHODS: The design used was cross-sectional with random sampling technique. The correlation test was Chi-Square and analyzed using univariate. The respondents involved were 17–24 years old with 5924 persons; active undergraduate students. Questionnaires were distributed using Google form. RESULTS: The results indicated a relationship between gender and major, education level, social status, and funds source (p = 0.000). However, sex and residence did not correlate (p = 0.16). The same was revealed between gender with consumption patterns, carbohydrates, animal protein, vegetable protein, vegetables, fruit, snacks, water, and supplements. CONCLUSION: Overall, during the new normal period of pandemic COVID-19 era, student food consumption patterns could be categorized as healthier lifestyle changes. Thus, the undergraduate students are suggested to maintain a diverse and balanced diet to boost their immunity optimally.