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BackgroundConsumer-based physical activity trackers have increased in popularity. The widespread use of these devices and the long-term nature of the recorded data provides a valuable source of physical activity data for epidemiological research. The challenges include the large heterogeneity between activity tracker models in terms of available data types, the accuracy of recorded data, and how this data can be shared between different providers and third-party systems. ObjectiveThe aim of this study is to develop a system to record data on physical activity from different providers of consumer-based activity trackers and to examine its usability as a tool for physical activity monitoring in epidemiological research. The longitudinal nature of the data and the concurrent pandemic outbreak allowed us to show how the system can be used for surveillance of physical activity levels before, during, and after a COVID-19 lockdown. MethodsWe developed a system (mSpider) for automatic recording of data on physical activity from participants wearing activity trackers from Apple, Fitbit, Garmin, Oura, Polar, Samsung, and Withings, as well as trackers storing data in Google Fit and Apple Health. To test the system throughout development, we recruited 35 volunteers to wear a provided activity tracker from early 2019 and onward. In addition, we recruited 113 participants with privately owned activity trackers worn before, during, and after the COVID-19 lockdown in Norway. We examined monthly changes in the number of steps, minutes of moderate-to-vigorous physical activity, and activity energy expenditure between 2019 and 2020 using bar plots and two-sided paired sample t tests and Wilcoxon signed-rank tests. ResultsCompared to March 2019, there was a significant reduction in mean step count and mean activity energy expenditure during the March 2020 lockdown period. The reduction in steps and activity energy expenditure was temporary, and the following monthly comparisons showed no significant change between 2019 and 2020. A small significant increase in moderate-to-vigorous physical activity was observed for several monthly comparisons after the lockdown period and when comparing March-December 2019 with March-December 2020. ConclusionsmSpider is a working prototype currently able to record physical activity data from providers of consumer-based activity trackers. The system was successfully used to examine changes in physical activity levels during the COVID-19 period.

Background: Dietary recommendations in inflammatory bowel disease (IBD) are inconclusive, and patients may follow restrictive diets with increased risk of malnutrition. The aim of this study was to compare dietary intakes and nutritional status in men and women with newly diagnosed IBD with a general population sample, and to investigate whether intakes were in line with the Nordic Nutrition Recommendations. Methods: This was a cross-sectional study including adults≥ 40 years with IBD from the Inflammatory Bowel Disease in South-Eastern Norway (IBSEN) III cohort study. A validated food frequency questionnaire (FFQ) was used in dietary data collection, and a sample from the seventh survey of the Tromsø Study was included as a comparison group. Results: A total of 227 men and women with IBD were included. IBD patients had higher intake of grain products, sweetened beverages, energy, fat and polyunsaturated fat (PUFA), but lower intake of dairy products, alcohol and iodine compared to adults from the comparison sample (p < 0.01). Intakes of saturated fat and carbohydrates in both genders, and vitamin D in women were not within recommended levels. Anemia and hypoalbuminemia were more prevalent in IBD patients than in the comparison sample. Conclusions: Dietary intakes in newly diagnosed IBD patients were mostly in line with Nordic Nutrition Recommendations. Higher proportion of IBD patients exceeded recommended allowances of fat and added sugar than the comparison sample. Insufficient micronutrient intake, anemia and hypoalbuminemia are present challenges in IBD patients that require monitoring. Self-prescribed dietary restrictions in patients with inflammatory bowel disease (IBD) due to inconclusive dietary guidance may influence their risk of malnutrition. Comprehensive assessment of both dietary intake and nutritional status as early as time of diagnosis may help identify challenges in this patient group and implement appropriate interventions. [ABSTRACT FROM AUTHOR]

The prevalence of overweight and smoking has changed over time. However, whether the changes in the risk factors are reflected in the prevalence of gastro-oesophageal reflux disease (GORD) is unknown. The aims of this study were to assess the changes in prevalence of GORD and the associated risk factors over time in a general population. This was a population-based study using repeated surveys of the Tromsø Study: Tromsø2 (1979–1980, n = 14,279), Tromsø6 (2007–2008, n = 11,460) and Tromsø7 (2015–2016, n = 20,664). Complaints of heartburn and acid regurgitation and common risk factors were reported, and height and weight were measured. The prevalence of GORD was calculated and the association with risk factors was assessed at each time point by odds ratios (OR) and 95% confidence intervals (CI) using multivariable logistic regression. The prevalence of GORD was 13% in 1979–1980, 6% in 2007–2008 and 11% in 2015–2016. In all three surveys, the risk of GORD was consistently increased with overweight and smoking. However, overweight was a weaker risk factor in the first (OR 1.58, 95% CI 1.42–1.76) compared to the last (OR 2.16, 95% CI 1.94–2.41) survey. Smoking was a stronger risk factor in the first (OR 1.45, 95% CI 1.31–1.60) than at the last (OR 1.14, 95% CI 1.01–2.29) survey. During four decades of follow-up of the same population, no clear change in prevalence of GORD was found. GORD was clearly and consistently associated with overweight and smoking. However, overweight has become a more important risk factor than smoking over time. [ABSTRACT FROM AUTHOR]

Background: Few large-scale studies have investigated the association between periodontitis and cardiovascular risk estimated by risk assessment models; moreover, this association remains unexplored in never-smokers. We aimed to examine the relationship between periodontitis and cardiovascular risk in a Norwegian general population, with a focus on never-smokers and the impact of sex and age.Methods: The present study included 2623 participants from the seventh survey of the Tromsø Study (Tromsø7, 2015-2016), aged 45-74 years, and without previous myocardial infarction or stroke. Periodontitis was defined according to the 2017 American Academy of Periodontology and the European Federation of Periodontology classification system. Participants were categorized by grade based on percentage bone loss/age as no periodontitis/Grade A (low progression rate) and Grade B/C (moderate-rapid progression rate). Low, medium, and high cardiovascular risk was defined based on the Norwegian risk model NORRISK 2. We used ordered logistic regression analysis to examine the association between periodontitis and cardiovascular risk, adjusting for education, toothbrushing frequency, body mass index, and diabetes. Subanalyses included stratification by sex and age (45-54, 55-64, 65-74 years) and a separate analysis of never-smokers.Results: Periodontitis Grade B/C was associated with higher cardiovascular risk than no periodontitis/Grade A (odds ratio [OR], 2.13; 95% confidence interval [CI], 1.75-2.61). This association was significant in both men and women, all age groups, and never-smokers. However, when never-smokers were stratified by age, the association remained significant only in those aged 65-74 years (OR, 3.00; 95% CI, 1.50-5.99).Conclusion: Periodontitis Grade B/C was associated with higher cardiovascular risk overall, and in never-smokers aged 65-74 years. [ABSTRACT FROM AUTHOR]

Aims To study change over 8 years in cardiovascular risk, achievement of national guideline-based treatment targets of lipids, blood pressure (BP) and smoking in primary prevention of cardiovascular disease (CVD), medication use, and characteristics associated with target achievement among individuals with high CVD risk in a general population. Methods and results We followed 2524 women and men aged 40-79 years with high risk of CVD attending the population-based Troms0 study in 2007-08 (Troms06) to their participation in the next survey in 2015-16 (Troms07). We used descriptive statistics and regression models to study change in CVD risk and medication use, and characteristics associated with treatment target achievement. In total, 71.4% reported use of BP- and/or lipid-lowering medication at second screening. Overall, CVD risk decreased during follow-up, with a larger decrease among medication users compared with non-users. Treatment target achievement was 31.0% for total cholesterol <5 mmol/L, 27.3% for LDL cholesterol <3 mmol/L, 43.4% for BP <140/90 (<135/85 if diabetes) mmHg, and 85.4% for non-smoking. A total of 9.8% reached all treatment targets combined. Baseline risk factor levels and current medication use had the strongest associations with treatment target achievement. Conclusion We found an overall improvement in CVD risk factors among high-risk individuals over 8 years. However, guideline-based treatment target achievement was relatively low for all risk factors except smoking. Medication use was the strongest characteristic associated with achieving treatment targets. This study has demonstrated that primary prevention of CVD continues to remain a major challenge. [ABSTRACT FROM AUTHOR]

Aim: Understanding whether increasing Life Expectancy (LE) translates to improved health and function among older adults is essential, but results are inconclusive. We aimed to estimate trends in Disability-Free Life Expectancy (DFLE) in the older Norwegian population by sex and education from 1995 to 2017. Method: National life table data were combined with cross-sectional data on functional ability for 70+ year-olds from the population-based Trøndelag Health Surveys 2-4 (1995–1997, 2006–2008 and 2017–2019) (n =24,733). Self-reported functional ability was assessed on a graded scale by a combination of Instrumental Activities of Daily Living (IADL) such as paying bills, going out or shopping (mild disability) and Personal Activities of Daily Living (PADL) such as washing, dressing or eating (severe disability). LE, DFLE, Mild-Disability LE and Severe-Disability LE at age 70 were estimated by the Sullivan method. Results: From 1995 to 2017 DFLE at age 70 increased from 8.4 to 13.0 years in women, and from 8.0 to 12.1 years in men. DFLE increased in the basic and high educational groups, but more so in the high educational group among men. Educational inequalities in years spent with disability however, remained low. Conclusions: From the mid-1990s and over the past three decades both LE and DFLE at 70 years increased in the older Norwegian population, for both men and women, and across basic and high educational levels. Educational inequalities in DFLE increased, especially in men, but years spent with disability were similar across the three decades. [ABSTRACT FROM AUTHOR]

Background: Consumer-based activity trackers are increasingly used in research, as they have the potential to promote increased physical activity and can be used for estimating physical activity among participants. However, the accuracy of newer consumer-based devices is mostly unknown, and validation studies are needed. Objective: The objective of this study was to compare the Polar Vantage watch (Polar Electro Oy) and Oura ring (generation 2; Ōura Health Oy) activity trackers to research-based instruments for measuring physical activity, total energy expenditure, resting heart rate, and sleep duration in free-living adults. Methods: A total of 21 participants wore 2 consumer-based activity trackers (Polar watch and Oura ring), an ActiGraph accelerometer (ActiGraph LLC), and an Actiheart accelerometer and heart rate monitor (CamNtech Ltd) and completed a sleep diary for up to 7 days. We assessed Polar watch and Oura ring validity and comparability for measuring physical activity, total energy expenditure, resting heart rate (Oura), and sleep duration. We analyzed repeated measures correlations, Bland-Altman plots, and mean absolute percentage errors. Results: The Polar watch and Oura ring values strongly correlated (P<.001) with the ActiGraph values for steps (Polar: r=0.75, 95% CI 0.54-0.92; Oura: r=0.77, 95% CI 0.62-0.87), moderate-to-vigorous physical activity (Polar: r=0.76, 95% CI 0.62-0.88; Oura: r=0.70, 95% CI 0.49-0.82), and total energy expenditure (Polar: r=0.69, 95% CI 0.48-0.88; Oura: r=0.70, 95% CI 0.51-0.83) and strongly or very strongly correlated (P<.001) with the sleep diary–derived sleep durations (Polar: r=0.74, 95% CI 0.56-0.88; Oura: r=0.82, 95% CI 0.68-0.91). Oura ring–derived resting heart rates had a very strong correlation (P<.001) with the Actiheart-derived resting heart rates (r=0.9, 95% CI 0.85-0.96). However, the mean absolute percentage error was high for all variables except Oura ring–derived sleep duration (10%) and resting heart rate (3%), which the Oura ring underreported on average by 1 beat per minute. Conclusions: The Oura ring can potentially be used as an alternative to the Actiheart to measure resting heart rate. As for sleep duration, the Polar watch and Oura ring can potentially be used as replacements for a manual sleep diary, depending on the acceptable error. Neither the Polar watch nor the Oura ring can replace the ActiGraph when it comes to measuring steps, moderate-to-vigorous physical activity, and total energy expenditure, but they may be used as additional sources of physical activity measures in some settings. On average, the Polar Vantage watch reported higher outputs compared to those reported by the Oura ring for steps, moderate-to-vigorous physical activity, and total energy expenditure. [ABSTRACT FROM AUTHOR]

Objectives: Accelerometer-based wrist-worn fitness trackers and smartwatches (wearables) appeared on the consumer market in 2011. Many wearable devices have been released since. The objective of this data paper is to describe a dataset of 423 wearables released before July 2017. Data description: We identified wearables and extracted information from six online and offline databases. We also visited websites for all identified companies/brands to identify additional wearables, as well as obtained additional information for each identified device. Twelve attributes were collected: wearable name, company/brand name, release year, country of origin, whether the wearable was crowd funded, form factor (fitness tracker or smartwatch), and sensors supported. Support for the following sensors were mapped: accelerometer, magnetometer, gyroscope, altimeter or barometer, global-positioning-system, and optical pulse sensor (i.e., photoplethysmograph). The search was conducted between May 15th and July 1st, 2017. The included data gives an overview of most in-scope wearables released before July 2017 and allows researchers to conduct additional analysis not performed in the related article. Further insights can be achieved by complementing this list with wearable models released after July 2017. [ABSTRACT FROM AUTHOR]

Epidemiological studies assessing adult sleep duration have yielded inconsistent findings and there are still large variations in estimation of insomnia prevalence according to the most recent diagnostic criteria. Our objective was to describe sleep patterns in a large population of middle‐aged and older adults, by employing accurate measures of both sleep duration and insomnia. Data stem from the Tromsø Study (2015–2016), an ongoing population‐based study in northern Norway comprising citizens aged 40 years and older (n = 21,083, attendance = 64.7%). Sleep parameters were reported separately for weekdays and weekends and included bedtime, rise time, sleep latency and total sleep time. Insomnia was defined according to recent diagnostic criteria (International Classification of Sleep Disorders; ICSD‐3). The results show that 20% (95% confidence interval,19.4–20.6) fulfilled the inclusion criteria for insomnia. The prevalence was especially high among women (25%), for whom the prevalence also increased with age. For men, the prevalence was around 15% across all age groups. In all, 42% of the women reported sleeping <7 hr (mean sleep duration of 7:07 hr), whereas the corresponding proportion among males was 52% (mean sleep duration of 6:55 hr). We conclude that the proportion of middle‐aged and older adults not getting the recommended amount of sleep is worryingly high, as is also the observed prevalence of insomnia. This warrants attention as a public health problem in this population. [ABSTRACT FROM AUTHOR]

Although the health benefits of physical activity are well documented, a large proportion of the population fails to meet current guidelines for physical activity. In order to develop evidence-based public health policies, surveillance of physical activity prevalence and trends is essential. The main aim of this study was to present updated data on physical activity trends in a Norwegian general population over the last decades. Data were collected from 40 690 individuals (50% men) aged ≥20 years participating in at least one of six surveys of the population-based Tromsø Study between 1979 and 2016. Age-standardized prevalences and trends in leisure-time and occupational physical activity were obtained from three questionnaires used in the different surveys. We observed an increase in the proportion engaging in exercise in leisure-time between 1994–95 and 2001 (p <0.001). Based on a different questionnaire, the age-standardized prevalence of engagement in exercise in leisure-time increased significantly from 16% in 2001 to 23% in 2007–08, and further to 28% in 2015–16 (p <0.001). The proportion who reported exercising approximately every day increased from 19% in 2007–08 to 28% in 2015–16 (p <0.001). The age-standardized prevalence of sedentary occupational activity increased from 53% in 2007–08 to 57% in 2015–16 (p <0.001), which extends the gradual increase from 36% in 1979-80.The present study extends previous findings from the Tromsø Study by demonstrating an increase in the proportion exercising regularly over the last three decades. This increase may partially counteract the gradual increase in the proportion with sedentary occupational activity. [ABSTRACT FROM AUTHOR]

Background: Falls are common among elderly people, and the risk increase with age. Falls are associated with both health and social consequences for the patient, and major societal costs. Identification of risk factors should be investigated to prevent falls. Previous studies have shown anemia to be associated with increased risk of falling, but the results are inconsistent. The aim of this study was to investigate the association between anemia and self-reported falls among community-living elderly people. The study is a replication of the study by Thaler-Kall and colleagues from 2014, who studied the association between anemia and self-reported falls among 967 women and men 65 years and older in the KORA-Age study from 2009.Methods: We included 2441 participants (54% women) 65 years and older from the population-based Tromsø 5 Study 2001-2002. Logistic regression models were used to investigate the association between anemia (hemoglobin <12 g/dL in women and <13 g/dL in men) or hemoglobin level and self-reported falls last year, adjusted for sex, age, medication use and disability. Further, associations between combinations of anemia and frailty or disability, and falls, were investigated.Results: No statistical significant associations were found between anemia and falls (OR 95% CI: 0.83, 0.50-1.37) or hemoglobin level and falls (OR, 95% CI: 0.94, 0.81-1.09), or with combinations of anemia and frailty or disability, and falls (OR, 95%: CI: 0.94, 0.40-2.22 and 0.78, 0.34-1.81, respectively).Conclusions: In this replication analysis, in accordance with the results from the original study, no statistically significant association between anemia or hemoglobin and falls was found among community-living women and men aged 65 years or older. [ABSTRACT FROM AUTHOR]

Background: ICT based solutions are increasingly introduced for active and healthy ageing. In this context continuous monitoring of older adults with domestic sensor systems has been suggested to provide important information about their functional health. However, there is not yet a solid model for the interpretation of the sensor data. Objectives: The aim of our study is to define a set of predictors of functional health that can be measured with domestic sensors and to determine thresholds that identify relevant changes in these predictors. Methods: On the basis of literature we develop a model that relates functional health predictors to features derived from sensor data. The parameters of this model are determined on the basis of a study among health experts (n = 38). The use of the full model is illustrated with three cases. Results: We identified 25 predictors and their attributes. For 12 of them that can be measured with passive infrared motion sensors we determined their parameters: the attribute thresholds and the urgency thresholds. Conclusions: With the parametrized predictors in the model, domestic sensors can be deployed to assess functional health in a standardized way. Three case examples showed how the model can be used as a screening instrument for functional decline. [ABSTRACT FROM AUTHOR]

High blood pressure is a modifiable risk factor for cardiovascular disease. Previous studies showing a blood pressure decline in recent decades lack data to follow individuals born in different decades from early and middle adulthood to older age. We investigated changes in age-specific blood pressure by repeated measurements in 37 973 women and men born 1905 to 1977 (aged 20–89 years) examined ≤5× between 1979 and 2008 in the population-based Tromsø Study. Mixed models were used to estimate time trends. Mean systolic and diastolic blood pressure decreased from 1979 to 2008 in both genders in the age groups 30 to 89 years. The decrease was similar in the 80th percentile and the 20th percentile of the population blood pressure distribution. The decrease in systolic blood pressure in age group 40 to 49 years was 10.6 mm Hg in women and 4.5 mm Hg in men. Systolic blood pressure increased with age in women and men born 1920 to 1949, whereas a decrease or flattening of curve was observed in the younger birth cohorts. Thus, we found both time periodic and cohort effects, and trends were more pronounced in women than in men. The findings suggest changes in blood pressure in the population rather than an effect of treatment of high-risk individuals. [ABSTRACT FROM AUTHOR]

Background: New fitness trackers and smartwatches are released to the consumer market every year. These devices are equipped with different sensors, algorithms, and accompanying mobile apps. With recent advances in mobile sensor technology, privately collected physical activity data can be used as an addition to existing methods for health data collection in research. Furthermore, data collected from these devices have possible applications in patient diagnostics and treatment. With an increasing number of diverse brands, there is a need for an overview of device sensor support, as well as device applicability in research projects.Objective: The objective of this study was to examine the availability of wrist-worn fitness wearables and analyze availability of relevant fitness sensors from 2011 to 2017. Furthermore, the study was designed to assess brand usage in research projects, compare common brands in terms of developer access to collected health data, and features to consider when deciding which brand to use in future research.Methods: We searched for devices and brand names in six wearable device databases. For each brand, we identified additional devices on official brand websites. The search was limited to wrist-worn fitness wearables with accelerometers, for which we mapped brand, release year, and supported sensors relevant for fitness tracking. In addition, we conducted a Medical Literature Analysis and Retrieval System Online (MEDLINE) and ClinicalTrials search to determine brand usage in research projects. Finally, we investigated developer accessibility to the health data collected by identified brands.Results: We identified 423 unique devices from 132 different brands. Forty-seven percent of brands released only one device. Introduction of new brands peaked in 2014, and the highest number of new devices was introduced in 2015. Sensor support increased every year, and in addition to the accelerometer, a photoplethysmograph, for estimating heart rate, was the most common sensor. Out of the brands currently available, the five most often used in research projects are Fitbit, Garmin, Misfit, Apple, and Polar. Fitbit is used in twice as many validation studies as any other brands and is registered in ClinicalTrials studies 10 times as often as other brands.Conclusions: The wearable landscape is in constant change. New devices and brands are released every year, promising improved measurements and user experience. At the same time, other brands disappear from the consumer market for various reasons. Advances in device quality offer new opportunities for research. However, only a few well-established brands are frequently used in research projects, and even less are thoroughly validated. [ABSTRACT FROM AUTHOR]

Introduction: The prevalence of type 2 diabetes is increasing worldwide. In Norway, register-based studies have reported an increased prevalence of type 2 diabetes and, recently, a decrease in incidence of type 2 diabetes. Aim: To investigate long-term trends in self-reported diabetes, HbA1c levels and medication use in a population-based study. Methods: We used self-report and laboratory data from adult women and men participating in one or more of four consecutive surveys of the population-based Tromsø Study; Tromsø 4 1994-95 (n=27158), Tromsø 5 2001 (n=8130), Tromsø 6 2007-08 (n=12984) and Tromsø 7 2015-16 (n=21083). Participants answered questionnaires including questions on diabetes and medication use. Non-fasting blood samples were collected and analysed for HbA1c at Department of Laboratory Medicine University Hospital North Norway. We included participants aged 40-89 years at each survey without missing values on the diabetes question in Tromsø 4 (n=16830), Tromsø 5 (n=7206), Tromsø 6 (n=12200), Tromsø 7 (n=20434) to study trends in diabetes prevalence. Moreover, we used HbA1c levels in Tromsø 4 (n=6720), Tromsø 5 (n=5833), Tromsø 6 (n=12003) and Tromsø 7 (n=20174) to study trends in diabetes unawareness (HbA1c =6.5% & no self-reported diabetes), and to study treatment target achievement (HbA1c=7.0% & self-reported diabetes). We used generalized estimating equation models to study overall and group-specific age-adjusted trends in women and men in 10-year age-groups. Results: In preliminary analyses, we found a statistically significant increase in prevalence of selfreported diabetes in both sexes and all age-groups. More results will be available. Conclusion: In these preliminary analyses, using self-report and laboratory data from repeated crosssectional surveys of an adult general population, we found an increase in prevalence of self-reported diabetes over the last two decades. [ABSTRACT FROM AUTHOR]