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- 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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| 4. |
- Liu, Yao, et al.
(författare)
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Changes in TDP-43 expression in development, aging, and in the neurofilament light protein knockout mouse
- 2015
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Ingår i: Neurobiology of Aging. - : Elsevier BV. - 0197-4580 .- 1558-1497. ; 36:2, s. 1151-1159
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Tidskriftsartikel (refereegranskat)abstract
- The transactive response DNA-binding protein 43 (TDP-43) has been identified as a neurofilament light (NF-L) messenger RNA (mRNA)-binding protein. Abnormally increased levels of TDP-43 are detected in patients with amyotrophic lateral sclerosis and a downregulation of NF-L mRNA. However, links between NF-L and TDP-43 expressions are unclear. In this study, we investigated whether the deficiency of NF-L protein can result in alterations in TDP-43 localization or protein expression and whether this is altered with aging. There was a significant increase in TDP-43 protein levels in the cortex and lumbar spinal cord in 12-month-old NF-L knockout (NF-L KO) mice, compared with wild-type (WT) C57BL/6 mice. However, there was no difference in either the phosphorylation of TDP-43 between WT and NF-L KO mice or the abnormal mislocalization of TDP-43 to the cytoplasm in NF-L KO animals. Our findings suggest that NF-L protein or mRNA may negatively affect the expression of TDP-43 in the central nervous system. However, altered phosphorylation of TDP-43 may be more highly associated with aging than the levels of TDP-43 expression.
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- Quaglia, Milena, et al.
(författare)
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The EMPIR project : Innovative measurements for improved diagnosis and management of neurodegenerative diseases (NeuroMet)
- 2017
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- An initial review of previous studies relating to Alzheimer disease state indices was carried out at RI.SE with the aim to identify additional data to be included in this study and provide generic guidelines for metrological quality assurance of clinical neuropsychological data.Work to utilise new cognitive data to re-analyse correlation studies between MMSE and MRI estimates of grey-matter volume has in this first report of the EMPIR NeuroMet project mainly be done at RI.SE using initially data from earlier studies. Rasch analysis reveals significant distortion of MMSE scales. That in turn leads to a re-evaluation of correlations and decisions (e.g. about health) based on those correlations.
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