Introduction: According to the Global Burden of Disease project, unhealthy diet accounts for most of the disease burden in Norway. Current recommendations on nutrient intake in Norway reflect those published in the evidence-based Nordic Nutrition Recommendations from 2012 (NNR2012). Aim: To study energy and nutrient intakes and compliance with the NNR2012 among women and men in a population-based study. Methods: A total of 15,146 participants (aged 40-99 years) completed a validated food frequency questionnaire (261 questions on food items, meals, and beverages) in the seventh survey of the Tromsø Study in 2015-16; 11,425 participants were eligible for the current analysis. Nutrient intake was estimated by a food and nutrient calculation system at the University of Oslo, Norway. We compared energy, macronutrient, and micronutrient intakes with the NNR2012. Results: In total, 85% of the women and men were not in compliance with the maximum recommended intake of saturated fat, and 40 and 77% of women and men, respectively, were not in compliance with the lowest recommended intake of fiber. More than 30% of women and 25% of men had a relatively high probability of inadequate intake of vitamin D, and more than 10% of the men had a relatively high probability of inadequate intake of vitamin B6 and vitamin C. More than 20% of women and men had a high probability of excessive intake of niacin, and almost 40% of women had a high probability of excessive intake of vitamin A. Conclusion: Although most participants were in compliance with NNR2012, a large proportion of participants had higher intakes than maximum recommended for saturated fat, and lower than recommended for fiber and vitamin D.
BackgroundPrevious studies of the reproducibility of self-reported age at menarche have been limited because of small study samples, short follow-up and the limited age span of the women included.MethodsThe present study assessed the reproducibility of age at menarche in 6731 women with a wide variation of age when giving the information about age at menarche. The women reported age at menarche in a self-administered questionnaire, both in 1986–1987 and 1994–1995. They were all residents of Tromsø, Norway, and aged 25–73 in 1994–1995. In order to investigate the agreement between self-reported age at menarche at the two points in time, Pearson’s correlation coefficient was applied to assess the linear correlation between the reported menarcheal age at the two occasions. Analyses were stratified for age. A Bland-Altman plot was produced and limits of agreement computed.ResultsWe found a high correlation and a strong agreement between self-reported age at menarche in 1986–1987 and 1994–1995. The overall Pearson’s correlation coefficient was 0.84 and was not attenuated by increasing age of the women. The Bland-Altman plot showed a strong agreement in self-reported age at menarche. The mean difference between self-reported age at menarche was 0.01 years with limits of agreement −1.52 to 1.54.ConclusionWe found high reproducibility of self-reported age at menarche. The mean menarcheal age in the two surveys was identical (13.2 years) with 95% of the women reporting the same age at menarche or with a difference of 1 year. Only 0.7% of the women reported age at menarche with a difference of more than 2 years in 1986–1987 and 1994–1995.
Aims To investigate European guideline treatment target achievement in cardiovascular risk factors, medication use, and lifestyle, after myocardial infarction (MI) or ischaemic stroke, in women and men living in Norway. Methods and results In the population-based Tromsø Study 2015–16 (attendance 65%), 904 participants had previous validated MI and/or stroke. Cross-sectionally, we investigated target achievement for blood pressure (<140/90 mmHg, <130/80 mmHg if diabetes), LDL cholesterol (<1.8 mmol/L), HbA1c (<7.0% if diabetes), overweight (body mass index (BMI) <25 kg/m2, waist circumference women <80 cm, men <94 cm), smoking (non-smoking), physical activity (self-reported >sedentary, accelerometer-measured moderate-to-vigorous ≥150 min/week), diet (intake of fruits ≥200 g/day, vegetables ≥200 g/day, fish ≥200 g/week, saturated fat <10E%, fibre ≥30 g/day, alcohol women ≤10 g/day, men ≤20 g/day), and medication use (antihypertensives, lipid-lowering drugs, antithrombotics, and antidiabetics), using regression models. Proportion of target achievement was for blood pressure 55.2%, LDL cholesterol 9.0%, HbA1c 42.5%, BMI 21.1%, waist circumference 15.7%, non-smoking 86.7%, self-reported physical activity 79%, objectively measured physical activity 11.8%, intake of fruit 64.4%, vegetables 40.7%, fish 96.7%, saturated fat 24.3%, fibre 29.9%, and alcohol 78.5%, use of antidiabetics 83.6%, lipid-lowering drugs 81.0%, antihypertensives 75.9%, and antithrombotics 74.6%. Only 0.7% achieved all cardiovascular risk factor targets combined. Largely, there was little difference between the sexes, and in characteristics, medication use, and lifestyle among target achievers compared to non-achievers. Conclusion Secondary prevention of cardiovascular disease was suboptimal. A negligible proportion achieved the treatment target for all risk factors. Improvement in follow-up care and treatment after MI and stroke is needed.
Worldwide, there are socioeconomic inequalities in health and diet. We studied the relationship between education and nutrient intake in 11,302 women and men aged 40–96 years who participated in the seventh survey of the population-based Tromsø Study (2015–2016), Norway (attendance 65%). Diet was assessed using a validated food-frequency questionnaire. We examined the association between education and intake of total energy and macronutrients by sex using linear and logistic regression models adjusted for age, body mass index, leisure time physical activity and smoking. The intake of macronutrients was compared with the Nordic Nutrition Recommendations 2012. There was a positive association between education and intake of fiber and alcohol, and a negative association between education and intake of total carbohydrates and added sugar in both women and men. Participants with long tertiary education had higher odds of being compliant with the recommended intake of fiber and protein and the maximum recommended level for added sugar and had lower odds of being compliant with the recommended intake of total carbohydrates and the maximum recommended level for alcohol, compared to participants with primary education. Overall, we found that participants with higher education were more compliant with the Nordic Nutrition Recommendations 2012.
Background. Reference values for visceral adipose tissue (VAT) are needed and it has been advocated that body composition measures depend on both the technique and methods applied, as well as the population of interest. We aimed to develop reference values for VAT in absolute grams (VATg), percent (VAT%), and as a kilogram-per-meters-squared index (VATindex) for women and men, and investigate potential differences between these measures and their associations with cardiometabolic risk factors (including metabolic syndrome (MetS)). Methods. In the seventh survey of the population-based Tromsø Study, 3675 participants (aged 40–84, 59% women) attended whole-body DXA scans (Lunar Prodigy GE) from where VAT was derived. We used descriptive analysis, correlations, receiver operating characteristics (ROC), and logistic regression to propose reference values for VAT and investigated VAT’s association with cardiometabolic risk factors, MetS and single MetS components. Further, Youden’s index was used to suggest threshold values for VAT. Results. VATg and VATindex increased until age 70 and then decreased, while VAT% increased with age across all age groups. VAT (all measurement units) was moderate to highly correlated and significantly associated with all cardiometabolic risk factors, except for total cholesterol. Associations between MetS, single MetS components, and VATg and VATindex were similar, and VAT% did not contribute any further to this association. Conclusion. These VAT reference values and thresholds, developed in a sample of adults of Norwegian origin, could be applied to other studies with similar populations using the same DXA device and protocols. The associations between VAT and cardiometabolic risk factors were similar across different measurement units of VAT.
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