Academic interests
Education
2024 PhD degree, Nutritional Epidemiology, University of Oslo
2017 MSc in Clinical Nutrition, University of Copenhagen, Denmark
2015 BSc in Diet and Clinical Nutrition, Robert Gordon University, Scotland
Work
2026 - : postdoctoral researcher, University of Oslo
2025-2026: researcher in the NewTools-project
2019-2024: PhD candidate, University of Oslo
2019: Clinical dietitian, Nordic Gastric Balloon, Denmark
2018: Research assistant, The Clinical Nutrition Research Unit, Herlev Hospital, Denmark
2018: Clinical dietitian assistant, Rigshospitalet, Denmark
Tags:
Nutritional epidemiology,
Nutrition,
Healthy ageing,
NewTools
Publications
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Amberntsson, Anna; Paulsen, Mari Mohn; Bianchi, Marta Angela; Birgisdottir, Bryndis Eva; Biltoft-Jensen, Anja Pia & Konglevoll, Dina Moxness
[Show all 9 contributors for this article]
(2026).
Exploring an energy-density adjustment to the Nutri-Score algorithm for general foods.
European Journal of Nutrition.
ISSN 1436-6207.
65(7).
doi:
10.1007/s00394-026-04105-5.
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Abstract
Purpose: The Nutri-Score categorizes foods by nutritional value per 100 g or 100 ml, which may lead to poor discriminatory ability for products with low energy density and large portion sizes, like ready-to-eat meals. We hypothesized that adapting the Nutri-Score algorithm to account for variation in energy density could better capture nutritional quality, particularly in lower energy-dense foods like ready meals, without substantially affecting other food scores. The aim of this study was to perform a proof‑of‑concept evaluation of adapting the Nutri-Score algorithm for general foods to different levels of energy density.
Methods: This study utilized the Norwegian food databases Tradesolution and Unil ( N = 25,813) to compare the energy-adjusted algorithm with the Nutri-Score 2023.
Results: The energy-adjusted Nutri-Score shifted food categorizations for 22% of products. Foods with low energy density, such as ready meals, showed increased scoring variation, indicating a more nuanced nutritional quality assessment, as intended. In these foods, we also saw a decline in favourable scores and an increase in unfavourable ones. However, high-energy-density food categories, like cakes and pastries, more often received more favourable scores. Also, the discriminatory ability between low-fat and full-fat products was reduced. Conclusion: While the energy-adjusted Nutri-Score improved scoring differentiation for certain low-energy-density foods, it showed unfavourable side-effects, indicating that overall, it is not superior to the Nutri-Score 2023. Nonetheless, adapting the algorithm to energy density offers potential for improved nutrient profiling methodologies in specific contexts. Further refinement of the weighting system could address observed weaknesses, optimizing this approach for broader application.
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Eklo, Rakel R.; Alavi, Dena Treider; Konglevoll, Dina Moxness; Kolle, Åshild; Henriksen, Hege Berg & Rising, Russell
[Show all 8 contributors for this article]
(2026).
Predictive equations commonly used in clinics underestimate resting energy expenditure compared with whole-room indirect calorimetry in colorectal cancer survivors.
American Journal of Clinical Nutrition.
ISSN 0002-9165.
doi:
10.1016/j.ajcnut.2026.101209.
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Background: Accurate methods for estimating resting energy expenditure (REE) are important to ensure adequate nutritional treatment in colorectal cancer (CRC) survivors.
Objective: To determine the agreement between REE estimated by commonly used predictive equations and by whole-room indirect calorimetry (WRIC).
Design: This cross-sectional study included 31 CRC survivors (age: 53–78 years; mean (standard deviation (SD)) body mass index (BMI) 28.7 (4.28) kg/m2), who underwent curative surgery. Body composition was measured by dual-energy x-ray absorptiometry (DXA). Predicted REE from equations in clinical use and derived from DXA and bioelectrical impedance analysis (BIA) were compared against REE measured by 30-min WRIC. Equations included Harris-Benedict, Mifflin-St. Jeor, FAO/WHO/UNU, Henry, Mifflin-St. JeorDXA, and FAO/WHO/UNUBIA. Paired sample t-test, Lin’s concordance correlation coefficient (CCC) and Bland-Altman analysis were used to determine the agreement between measured REEWRIC and predicted REE. Accuracy was defined as the percentage of predicted REE values that fell within ± 10 % of REEWRIC.
Results: Mean (SD) REEWRIC was 1710 kcal/d (353), and respiratory quotient (RQ) was 0.79 (0.05). Most equations underestimated REE. On average, Harris-Benedict, Henry, and FAO/WHO/UNUBIA showed the best overall agreement with REEWRIC. However, these equations showed low accuracy with 65 %, 68 %, and 62 % of predicted REE values within ± 10 % of REEWRIC, respectively.
Conclusions: Most predictive equations tended to underestimate REE in CRC survivors compared with REEWRIC. The Harris-Benedict, Henry and FAO/WHO/UNUBIA equations showed both best accuracy and agreement with WRIC. They were still inaccurate, with individual variability for a relevant part of the sample. Future studies need to develop improved predictive equations for CRC survivors.
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Amberntsson, Anna; Paulsen, Mari Mohn; Bianchi, Marta Angela; Birgisdottir, Bryndis Eva; Biltoft-Jensen, Anja Pia & Konglevoll, Dina Moxness
[Show all 10 contributors for this article]
(2025).
Improvements to the Nutri-Score to address challenges identified in a Nordic setting.
Food & Nutrition Research (FNR).
ISSN 1654-6628.
69.
doi:
10.29219/fnr.v69.10914.
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Background: Front-of-pack nutrition labelling is an important policy tool for public health. The Nutri-Score classifies foods according to nutritional quality from A (high quality) to E (low quality). We have previously identified inconsistencies between Nutri-Score and the Norwegian food-based dietary guidelines. The objective was to propose revisions to the Nutri-Score 2023 algorithms and determine if the revised algorithms better align with the Nordic Nutrition Recommendations 2023 (NNR2023) and the Keyhole label. Methods: Items in the Norwegian pre-packed foods databases Tradesolution (n = 26,033) and Unil (n = 577) were classified using the Nutri-Score 2023 algorithms. To address carbohydrate quality, a penalty for low-fibre content was introduced, and the sugar scale compressed. The protein cap was removed for fish products to reward their nutritional quality. To improve the scoring of high-fat foods, the scale for saturated fat was extended, fat content determined the inclusion in the algorithm for fats, rather than food categories, and favourable fat quality in oils was rewarded through a fat quality component. Data from the databases guided the identification of specific thresholds. The distribution of Nutri-Score was calculated before and after applying the revisions. Results: In total, 5.5% of all products received a less favourable Nutri-Score with the revised carbohydrate quality components. Most refined pastas and flour shifted shifted from A to B or C, whilst whole grain pasta largely remained A. Sugar-rich breakfast cereals shifted from B to C or D. For fish, 11% (1% of all products) were moved from D or E to C or D. The variation in scores for cheese and creams increased. Around 5% of all products were affected by the revisions related to fat quality. Conclusions: The proposed revisions make the Nutri-Score more coherent with the NNR2023 and the Keyhole label. The proposed revisions also hold relevance for other European countries and should therefore be considered in the next revision of the Nutri-Score.
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Konglevoll, Dina Moxness; Andersen, Lene Frost; Thoresen, Magne; Totland, Torunn Holm; Hopstock, Laila Arnesdatter & Hjartåker, Anette
[Show all 7 contributors for this article]
(2024).
Dietary trajectories over 21 years and frailty in Norwegian older adults: the Tromsø Study 1994–2016.
European Journal of Nutrition.
ISSN 1436-6207.
63,
p. 2987–2998.
doi:
10.1007/s00394-024-03482-z.
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Purpose To investigate the association between five dietary trajectories over 21 years and frailty in Norwegian older adults.<p> <p>Methods This study used data from three surveys of the Tromsø Study. Diet was measured using food frequency questionnaires at baseline (Tromsø4, 1994–95), after 7 years (Tromsø5, 2001) and at the end of follow-up (Tromsø7, 2015–16). Survey-specific diet scores were constructed based on the Nordic Nutrition Recommendations 2023 and group-based trajectory modelling was used to derive dietary trajectories. At follow-up, frailty was assessed with a 41-item frailty index. Linear regression analysis was performed to assess the associations between dietary trajectories and frailty, adjusted for baseline variables. <p>Results Among the 715 participants, 55% were women, with an average age of 54 years at baseline and 74 years at followup. The dietary trajectories ‘moderately healthy’ and ‘healthy increase’ were associated with a lower frailty index score at follow-up (β = −0.02, 95% confidence interval (CI)=−0.04, −0.002, β = −0.03, 95% CI=−0.06, −0.007), compared with the ‘unhealthy’ trajectory. <p>Conclusion Our findings suggest that maintaining a moderately healthy to very healthy diet from mid-life into older age is associated with a lower risk of frailty and supports the promotion of a healthy diet from adulthood to facilitate healthy ageing.
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Konglevoll, Dina Moxness; Andersen, Lene Frost; Hopstock, Laila Arnesdatter; Strand, Bjørn Heine; Thoresen, Magne & Totland, Torunn Holm
[Show all 8 contributors for this article]
(2023).
Fish intake and pre-frailty in Norwegian older adults - a prospective cohort study: the Tromsø Study 1994–2016.
BMC Geriatrics.
23(1).
doi:
10.1186/s12877-023-04081-z.
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Background Pre-frailty is an intermediate, potentially reversible state before the onset of frailty. Healthy dietary choices may prevent pre-frailty. Fish is included in most healthy diets, but little is known about the association between long-term habitual fish intake and pre-frailty. We aimed to elucidate the longitudinal association between the frequency of fish intake and pre-frailty in a cohort of older adults in Norway.<p> <p>Methods 4350 participants (52% women,≥65 years at follow-up) were included in this prospective cohort study. Data was obtained from three waves of the population-based Tromsø Study in Norway; Tromsø4 (1994–1995), Tromsø6 (2007–2008) and Tromsø7 (follow-up, 2015–2016). Frailty status at follow-up was defined by a modifed version of Fried’s phenotype. Fish intake was self-reported in the three surveys and assessed as three levels of frequency of intake: low (0–3 times/month), medium (1–3 times/week) and high (≥4 times/week). The fsh–pre-frailty association was analysed using multivariable logistic regression in two ways; (1) frequency of intake of lean, fatty and total fish in Tromsø6 and pre-frailty at follow-up, and (2) patterns of total fsh intake across the three surveys and pre-frailty at follow-up. <p>Results At follow-up, 28% (n=1124) were pre-frail. Participants with a higher frequency of lean, fatty and total fish intake had 28% (odds ratio (OR)=0.72, 95% confidence interval (CI)=0.53, 0.97), 37% (OR=0.63, 95% CI=0.43, 0.91) and 31% (OR=0.69, 95% CI=0.52, 0.91) lower odds of pre-frailty 8 years later compared with those with a low intake, respectively. A pattern of stable high fish intake over 21 years was associated with 41% (OR=0.59, 95% CI=0.38, 0.91) lower odds of pre-frailty compared with a stable low intake. <p>Conclusions A higher frequency of intake of lean, fatty and total fish, and a pattern of consistent frequent fish intake over time, were associated with lower odds of pre-frailty in older community-dwelling Norwegian adults. These results emphasise the important role of fish in a healthy diet and that a frequent fish intake should be promoted to facilitate healthy ageing.
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Konglevoll, Dina Moxness; Hjartåker, Anette; Hopstock, Laila Arnesdatter; Strand, Bjørn Heine; Thoresen, Magne & Andersen, Lene Frost
[Show all 7 contributors for this article]
(2022).
Protein Intake and the Risk of Pre-Frailty and Frailty in Norwegian Older Adults. The Tromsø Study 1994–2016.
Journal of Frailty & Aging (JFA).
ISSN 2260-1341.
11(3),
p. 256–266.
doi:
10.14283/jfa.2022.16.
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Background
Protein intake is suggested as an important dietary factor in the prevention of frailty, however, the influence of lifelong intake remains unclear.
Objectives
The present study investigated the relationship between daily protein intake and patterns of protein intake over 21 years and the risk of pre-frailty/frailty.
Design
Prospective cohort study.
Setting
The population-based Tromsø Study in Tromsø municipality, Norway.
Participants
In total, 1,906 women and 1,820 men aged ≥45 years in 1994 who participated in both Tromsø4 (1994–95) and Tromsø7 (2015–16).
Measurements
Frailty status in Tromsø7 was measured according to Fried’s phenotype, classifying participants as “robust” (frailty components present: 0), “pre-frail” (1–2) or “frail” (≥3). Daily intake of protein was estimated from self-reported habitual dietary intake using food frequency questionnaires and assessed as grams per kilogram bodyweight (g/kg BW) and per megajoule energy intake (g/MJ). The protein–frailty association was assessed via longitudinal and cross-sectional multivariable logistic regression analyses.
Results
The prevalence of pre-frailty and frailty in this study was 27% and 1.0%, respectively. Longitudinal analysis showed that the odds of pre-frailty/frailty decreased by 57% (odds ratio (OR) = 0.43, 95% confidence interval (CI) = 0.31;0.58, p<0.001) with the increase in intake of one additional gram of dietary protein per kg BW. The results obtained from cross-sectional analysis were similar. Tracking analysis showed that, compared to a stable high intake of protein in g/kg BW over time, other patterns of protein intake increased the risk of pre-frailty/frailty. No associations were found between intake of protein in g/MJ and pre-frailty/frailty.
Conclusions
Intake of protein in g/kg BW both in mid-life and later in life was inversely associated with pre-frailty/frailty in older adults. This emphasizes the importance of an adequate protein intake to facilitate healthy ageing in Norwegian older adults.
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Konglevoll, Dina Moxness; Andersen, Lene Frost; Thoresen, Magne; Totland, Torunn Holm; Hopstock, Laila Arnesdatter & Hjartåker, Anette
[Show all 7 contributors for this article]
(2025).
Dietary trajectories over 21 years and frailty in Norwegian older adults.
doi:
10.1007/s00394-024-03482-z.
Full text in Research Archive
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This study investigated the association between dietary trajectories over two decades and frailty in older adults in the large Norwegian population-based study, the Tromsø Study. We found that there was an association between maintaining a moderately healthy to very healthy diet through adulthood and lower frailty in older age.
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Hjartåker, Anette; Konglevoll, Dina Moxness & Uchai, Shreeshti
(2024).
Nutrition and physical frailty in Norwegian older adults: investigating the role of protein, fish and adiposity. The NutriFrail project.
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Egge, Julie Haugen & Konglevoll, Dina Moxness
(2022).
Ett næringsstoff er spesielt viktig når man passerer 40: gjør oss mindre skrøpelige og kan hindre tidlig aldring, ifølge ny norsk studie.
[Internet].
https://www.nrk.no.
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Published
Sep. 2, 2019 2:07 PM
- Last modified
Oct. 1, 2026 11:38 AM
