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Träfflista för sökning "WFRF:(Trolle Lagerros Y.) srt2:(2015-2019)"

Sökning: WFRF:(Trolle Lagerros Y.) > (2015-2019)

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  • Bjorkstrom, K., et al. (författare)
  • Risk Factors for Severe Liver Disease in Patients With Type 2 Diabetes
  • 2019
  • Ingår i: Clinical Gastroenterology and Hepatology. - : Elsevier BV. - 1542-3565. ; 17:13, s. 2769-
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND & AIMS: Type 2 diabetes is a risk factor for development of cirrhosis and hepatocellular carcinoma. However, risk factors that identify persons with the highest risk for these outcomes are missing from unselected, population-based cohorts. METHODS: The National Diabetes Register contains data on about 90% of persons in Sweden with type 2 diabetes. In this cohort study, persons with type 2 diabetes listed in the National Diabetes Register were compared with 5 individuals from the general population (controls), matched for age, sex, and county. In total, 406 770 persons with type 2 diabetes and 2 033 850 controls were included and followed for 21 596 934 person-years. We used population-based registers to determine the incidence of severe liver disease, defined as a diagnosis of hepatocellular carcinoma, cirrhosis, decompensation, liver failure and/or death due to liver disease during follow up. Cox regression was performed to estimate the risk of severe liver disease and to examine risk factors in persons with type 2 diabetes. RESULTS: Risk for severe liver disease was increased in patients with type 2 diabetes compared to controls (hazard ratio, 2.28; 95% CI, 2.21-2.36). Risk factors associated with severe liver disease in persons with type 2 diabetes were higher age, male sex, hypertension, higher body mass index, lower glomerular filtration rate, microalbuminuria, and smoking. Statins were associated with a decreased risk of severe liver disease. CONCLUSIONS: Persons with type 2 diabetes have an increased risk for severe liver disease. Knowledge of risk factors can be helpful in identifying persons with type 2 diabetes who have a high risk for severe liver disease.
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  • Carlsson, S, et al. (författare)
  • Smokeless tobacco (snus) is associated with an increased risk of type 2 diabetes : results from five pooled cohorts
  • 2017
  • Ingår i: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 281:4, s. 398-406
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Smoking and nicotine exposure increase insulin resistance and the risk of type 2 diabetes. Swedish smokeless tobacco (snus) is high in nicotine, and its use is prevalent in Scandinavian countries, but few studies have investigated snus use in relation to diabetes risk.OBJECTIVE: To explore the association between snus use and risk of type 2 diabetes using pooled data from five cohorts.METHODS: Analyses were based on prospective studies conducted between 1990 and 2013 including 54 531 never-smoking men and 2441 incident cases of type 2 diabetes identified through screening, self-reporting and hospital and prescription registries. Hazard ratios (HRs) and 95% confidence intervals (CIs) were assessed and adjusted for age, body mass index, educational level, alcohol consumption and physical activity.RESULTS: Compared to never users, the HR of type 2 diabetes was 1.15 (95% CI: 1.00-1.32) in current users of snus. In individuals consuming 5-6 boxes per week, the HR was 1.42 (95% CI: 1.07-1.87); in those consuming ≥7 boxes per week, the HR was 1.68 (95% CI: 1.17-2.41). Each additional box of snus consumed per week yielded an HR of 1.08 (95% CI: 1.01-1.16).CONCLUSION: Our findings indicate that high consumption of snus is a risk factor for type 2 diabetes. The risk was similar to that in smokers, implying that smokers will not reduce their risk of type 2 diabetes by changing to snus use. The results also support the notion that nicotine increases the risk of type 2 diabetes.
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  • Delisle, C., et al. (författare)
  • A web- and mobile phone-based intervention to prevent obesity in 4-year-olds (MINISTOP): a population-based randomized controlled trial
  • 2015
  • Ingår i: Bmc Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 15
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Childhood obesity is an increasing health problem globally. Overweight and obesity may be established as early as 2-5 years of age, highlighting the need for evidence-based effective prevention and treatment programs early in life. In adults, mobile phone based interventions for weight management (mHealth) have demonstrated positive effects on body mass, however, their use in child populations has yet to be examined. The aim of this paper is to report the study design and methodology of the MINSTOP (Mobile-based Intervention Intended to Stop Obesity in Preschoolers) trial. Methods/Design: A two-arm, parallel design randomized controlled trial in 300 healthy Swedish 4-year-olds is conducted. After baseline measures, parents are allocated to either an intervention-or control group. The 6-month mHealth intervention consists of a web-based application (the MINSTOP app) to help parents promote healthy eating and physical activity in children. MINISTOP is based on the Social Cognitive Theory and involves the delivery of a comprehensive, personalized program of information and text messages based on existing guidelines for a healthy diet and active lifestyle in pre-school children. Parents also register physical activity and intakes of candy, soft drinks, vegetables as well as fruits of their child and receive feedback through the application. Primary outcomes include body fatness and energy intake, while secondary outcomes are time spent in sedentary, moderate, and vigorous physical activity, physical fitness and intakes of fruits and vegetables, snacks, soft drinks and candy. Food and energy intake (Tool for Energy balance in Children, TECH), body fatness (pediatric option for BodPod), physical activity (Actigraph wGT3x-BT) and physical fitness (the PREFIT battery of five fitness tests) are measured at baseline, after the intervention (six months after baseline) and at follow-up (12 months after baseline). Discussion: This novel study will evaluate the effectiveness of a mHealth program for mitigating gain in body fatness among 4-year-old children. If the intervention proves effective it has great potential to be implemented in child-health care to counteract childhood overweight and obesity.
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  • Nystrom, C. D., et al. (författare)
  • A Mobile Phone Based Method to Assess Energy and Food Intake in Young Children: A Validation Study against the Doubly Labelled Water Method and 24 h Dietary Recalls
  • 2016
  • Ingår i: Nutrients. - : MDPI AG. - 2072-6643. ; 8:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Mobile phones are becoming important instruments for assessing diet and energy intake. We developed the Tool for Energy Balance in Children (TECH), which uses a mobile phone to assess energy and food intake in pre-school children. The aims of this study were: (a) to compare energy intake (EI) using TECH with total energy expenditure (TEE) measured via doubly labelled water (DLW); and (b) to compare intakes of fruits, vegetables, fruit juice, sweetened beverages, candy, ice cream, and bakery products using TECH with intakes acquired by 24 h dietary recalls. Participants were 39 healthy, Swedish children (5.5 +/- 0.5 years) within the ongoing Mobile-based Intervention Intended to Stop Obesity in Preschoolers (MINISTOP) obesity prevention trial. Energy and food intakes were assessed during four days using TECH and 24 h telephone dietary recalls. Mean EI (TECH) was not statistically different from TEE (DLW) (5820 +/- 820 kJ/24 h and 6040 +/- 680kJ/24 h, respectively). No significant differences in the average food intakes using TECH and 24 h dietary recalls were found. All food intakes were correlated between TECH and the 24 h dietary recalls (r = 0.665-0.896, p < 0.001). In conclusion, TECH accurately estimated the average intakes of energy and selected foods and thus has the potential to be a useful tool for dietary studies in pre-school children, for example obesity prevention trials.
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  • Nystrom, C. D., et al. (författare)
  • Mobile-based intervention intended to stop obesity in preschool-aged children: the MINISTOP randomized controlled trial
  • 2017
  • Ingår i: American Journal of Clinical Nutrition. - : Elsevier BV. - 0002-9165 .- 1938-3207. ; 105:6, s. 1327-1335
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Traditional obesity prevention programs are time-and cost-intensive. Mobile phone technology has been successful in changing behaviors and managing weight; however, to our knowledge, its potential in young children has yet to be examined. Objective: We assessed the effectiveness of a mobile health (mHealth) obesity prevention program on body fat, dietary habits, and physical activity in healthy Swedish children aged 4.5 y. Design: From 2014 to 2015, 315 children were randomly assigned to an intervention or control group. Parents in the intervention group received a 6-mo mHealth program. The primary outcome was fat mass index (FMI), whereas the secondary outcomes were intakes of fruits, vegetables, candy, and sweetened beverages and time spent sedentary and in moderate-to-vigorous physical activity. Composite scores for the primary and secondary outcomes were computed. Results: No statistically significant intervention effect was observed for FMI between the intervention and control group (mean +/- SD: -0.23 +/- 0.56 compared with -0.20 +/- 0.49 kg/m(2)). However, the intervention group increased their mean composite score from baseline to follow-up, whereas the control group did not (+ 0.36 +/- 1.47 compared with -0.06 +/- 1.33 units; P = 0.021). This improvement was more pronounced among the children with an FMI above the median (4.11 kg/m(2)) (P = 0.019). The odds of increasing the composite score for the 6 dietary and physical activity behaviors were 99% higher for the intervention group than the control group (P = 0.008). Conclusions: This mHealth obesity prevention study in preschool-aged children found no difference between the intervention and control group for FMI. However, the intervention group showed a considerably higher postintervention composite score (a secondary outcome) than the control group, especially in children with a higher FMI. Further studies targeting specific obesity classes within preschool-aged children are warranted.
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