| 1. |
- Lind, Lars, et al.
(författare)
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Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)
- 2021
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Ingår i: eLife. - : eLife Sciences Publications Ltd. - 2050-084X. ; 10
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Tidskriftsartikel (refereegranskat)abstract
- From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
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| 2. |
- Bixby, H., et al.
(författare)
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Rising rural body-mass index is the main driver of the global obesity epidemic in adults
- 2019
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 0028-0836 .- 1476-4687. ; 569:7755, s. 260-4
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Tidskriftsartikel (refereegranskat)abstract
- Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.
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| 6. |
- Gaston-Johansson, Fannie, et al.
(författare)
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Long-term effect of the self-management comprehensive coping strategy program on quality of life in patients with breast cancer treated with high-dose chemotherapy
- 2013
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Ingår i: Psycho-Oncology. - : John Wiley & Sons. - 1057-9249 .- 1099-1611. ; 22:3, s. 530-539
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: This study aims to examine the effectiveness of a self-management multimodal comprehensive coping strategy program (CCSP) on quality of life (QOL) among breast cancer patients 1 year after treatment.METHODS: Patients (n = 110) with stage II, III, or IV breast cancer scheduled to receive high dose chemotherapy and autologous hematopoietic stem cell transplantation were randomized to either CCSP treatment or control group. The CCSP intervention was taught 2 week before hospital admission with reinforcement at specified times during treatment and 3 months after discharge. The CCSP components included educational information, cognitive restructuring, coping skills enhancement, and relaxation with guided imagery. Instruments administered at baseline included the following: Quality of Life Index-Cancer Version (QOLI-CV), State-Trait Anxiety Inventory, Beck Depression Inventory, and Coping Strategies Questionnaire. At 1-year follow-up, patients (n = 73) completed and returned the follow-up QOLI-CV.RESULTS: Patients were mainly ≥40 years of age, married, Caucasian, and diagnosed with advanced breast cancer. A model measuring effectiveness of CCSP on QOL (total and subscale) at 1-year follow-up showed that the CCSP group (n = 38) had significant improvement in overall QOL (p < 0.01), health and functioning (p < 0.05), and socioeconomic (p < 0.05) and psychological/spiritual well-being (p < 0.01) compared with the control group (n = 35). The CCSP patients frequently used the CCSP to manage psychological (51%) and sleep problems (60%).CONCLUSIONS: The CCSP improved QOL for patients at 1-year follow-up. Patients overwhelmingly reported that CCSP was beneficial. The CCSP as an effective coping intervention has potential as a self-management program for breast cancer survivors.
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| 7. |
- Jansson, Johan, et al.
(författare)
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An anisotropic non-linear material model for glass fibre reinforced plastics
- 2018
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Ingår i: Composite structures. - : Elsevier. - 0263-8223 .- 1879-1085. ; 195, s. 93-98
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Tidskriftsartikel (refereegranskat)abstract
- This paper aims to present a methodology to predict the anisotropic and non-linear behaviour of glass fibre reinforced plastics using finite element methods. A material model is implemented in order to remedy the need of multiple material definitions, and to control the local plastic behaviour as a function of the fibre orientation. Injection moulding simulations traditionally provide second order orientation tensors, which are considered together with a homogenization scheme to compute local material properties. However, in the present study, fourth order tensors are used in combination with traditional methods to provide more accurate material properties. The elastic and plastic response of the material model is optimized to fit experimental test data, until simulations and experiments overlap. The proposed material model can support design engineers in making more informed decisions, allowing them to create smarter products without the need of excessive safety factors, leading to reduced component weight and environmental impact.
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| 8. |
- Johansson, Ulf, et al.
(författare)
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Mining trackman golf data
- 2016
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Ingår i: Proceedings - 2015 International Conference on Computational Science and Computational Intelligence, CSCI 2015. - Los Alamitos, CA : IEEE. - 9781467397957 ; , s. 380-385
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Konferensbidrag (refereegranskat)abstract
- Recently, innovative technology like Trackman has made it possible to generate data describing golf swings. In this application paper, we analyze Trackman data from 275 golfers using descriptive statistics and machine learning techniques. The overall goal is to find non-trivial and general patterns in the data that can be used to identify and explain what separates skilled golfers from poor. Experimental results show that random forest models, generated from Trackman data, were able to predict the handicap of a golfer, with a performance comparable to human experts. Based on interpretable predictive models, descriptive statistics and correlation analysis, the most distinguishing property of better golfers is their consistency. In addition, the analysis shows that better players have superior control of the club head at impact and generally hit the ball straighter. A very interesting finding is that better players also tend to swing flatter. Finally, an outright comparison between data describing the club head movement and ball flight data, indicates that a majority of golfers do not hit the ball solid enough for the basic golf theory to apply.
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