19 research outputs found

    General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants

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    Background Adiposity can be measured using BMI (which is based on weight and height) as well as indices of abdominal adiposity. We examined the association between BMI and waist-to-height ratio (WHtR) within and across populations of different world regions and quantified how well these two metrics discriminate between people with and without hypertension. Methods We used data from studies carried out from 1990 to 2023 on BMI, WHtR and hypertension in people aged 20–64 years in representative samples of the general population in eight world regions. We graphically compared the regional distributions of BMI and WHtR, and calculated Pearson’s correlation coefficients between BMI and WHtR within each region. We used mixed-effects linear regression to estimate the extent to which WHtR varies across regions at the same BMI. We graphically examined the prevalence of hypertension and the distribution of people who have hypertension both in relation to BMI and WHtR, and we assessed how closely BMI and WHtR discriminate between participants with and without hypertension using C-statistic and net reclassification improvement (NRI). Findings The correlation between BMI and WHtR ranged from 0·76 to 0·89 within different regions. After adjusting for age and BMI, mean WHtR was highest in south Asia for both sexes, followed by Latin America and the Caribbean and the region of central Asia, Middle East and north Africa. Mean WHtR was lowest in central and eastern Europe for both sexes, in the high-income western region for women, and in Oceania for men. Conversely, to achieve an equivalent WHtR, the BMI of the population of south Asia would need to be, on average, 2·79 kg/m² (95% CI 2·31–3·28) lower for women and 1·28 kg/m² (1·02–1·54) lower for men than in the high-income western region. In every region, hypertension prevalence increased with both BMI and WHtR. Models with either of these two adiposity metrics had virtually identical C-statistics and NRIs for every region and sex, with C-statistics ranging from 0·72 to 0·81 and NRIs ranging from 0·34 to 0·57 in different region and sex combinations. When both BMI and WHtR were used, performance improved only slightly compared with using either adiposity measure alone. Interpretation BMI can distinguish young and middle-aged adults with higher versus lower amounts of abdominal adiposity with moderate-to-high accuracy, and both BMI and WHtR distinguish people with or without hypertension. However, at the same BMI level, people in south Asia, Latin America and the Caribbean, and the region of central Asia, Middle East and north Africa, have higher WHtR than in the other regions

    Diminishing benefits of urban living for children and adolescents’ growth and development

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    AbstractOptimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1–6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5–19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was &lt;1.1 kg m–2 in the vast majority of countries. Within this small range, BMI increased slightly more in cities than in rural areas, except in south Asia, sub-Saharan Africa and some countries in central and eastern Europe. Our results show that in much of the world, the growth and developmental advantages of living in cities have diminished in the twenty-first century, whereas in much of sub-Saharan Africa they have amplified.</jats:p

    Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

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    Background Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. Methods We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5–19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI 2 SD above the median). Findings From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining https://researchonline.ljmu.ac.uk/images/research_banner_face_lab_290.jpgunderweight or thinness. Interpretation The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesity

    Simplified compartmental models of CA1 pyramidal cells of theta-modulated inhibition effects on spike timing-dependent plasticity

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    Spike timing-dependent plasticity (STDP) is a causal form of Hebb’s law of synaptic plasticity, where the precise timing of the presynaptic and postsynaptic action potentials determines the sign and magnitude of synaptic modifications (Bell et al., 1997; Bi and Poo, 1998; Magee and Johnston, 1997; Markram et al., 1997; Debanne et al., 1998; Sjostrom et al., 2001; Yao and Dan, 2001; Zhang et al., 1998). In their pioneering study, Bi and Poo (1998) showed that the shape of the STDP curve in the in-vitro hippocampal network has an asymmetric shape with the largest LTP/LTD value at Δτ = tpost - tpre = +/-10 ms, respectively. New experimental evidence has shown that the STDP asymmetry can sometimes change with the target and the location of the synapse (Tzounopoulos et al., 2004; Froemke et al., 2005; Letzkus et al., 2006; Caporale and Dan, 2009) and can be dynamically regulated by the activity of adjacent synapses (Harvey and Svoboda et al., 2007; Caporale and Dan, 2009) or by the action of neuromodulators (Seol et al., 2007; Caporale and Dan, 2009). Nishiyama and colleagues (2000) reported that "...the profile of STDP induced in the hippocampal CA1 network with inhibitory interneurons is symmetrical for the relative timing of pre- and postsynaptic activation". Optical imaging studies in CA1 revealed that the shape of the STDP curve depends on the location on the stratum radiatum (SR) dendrite. A symmetric STDP profile was observed in the proximal-to-the-soma SR dendrite and an asymmetric STDP profile in the distal-to-the-soma one (Tsukada et al., 2005; Aihara et al., 2007). They suggested that this change in the shape of the STDP curve (i.e. from symmetry to asymmetry and vice versa) may be due to inhibition in the proximal SR dendrites (Tsukada et al., 2005). The functional consequences of such a change in the STDP temporal kernel dynamics are of great importance in neural network dynamics. A symmetrical STDP profile with short temporal windows may serve as a coincidence detector between the incoming inputs and plays a functional role in heteroassociation of memories (Cutsuridis et al., 2010). On the other hand an asymmetric STDP profile with broad temporal windows may play a role in chunking of ordered items in sequence learning (Hayashi and Igarashi, 2009). Up-to-now very few studies (Cutsuridis, 2010, 2011, 2012, 2013) have investigated the inhibitory factors (frequency, strength, timing, etc.) that are responsible for such a change in the shape in the STDP temporal kernel and the conditions under which a transition from asymmetrical STDP kernel to a symmetrical STDP kernel is possible. In this chapter, I will present two simplified compartmental models of CA1 pyramidal cells in order to investigate the role of theta-modulated inhibition on the shape, sign and magnitude of the STDP kernel in CA1 pyramidal cell proximal dendrites

    Improved Long-Term Memory via Enhancing cGMP-PKG Signaling Requires cAMP-PKA Signaling

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    Memory consolidation is defined by the stabilization of a memory trace after acquisition, and consists of numerous molecular cascades that mediate synaptic plasticity. Commonly, a distinction is made between an early and a late consolidation phase, in which early refers to the first hours in which labile synaptic changes occur, whereas late consolidation relates to stable and long-lasting synaptic changes induced by de novo protein synthesis. How these phases are linked at a molecular level is not yet clear. Here we studied the interaction of the cyclic nucleotide-mediated pathways during the different phases of memory consolidation in rodents. In addition, the same pathways were studied in a model of neuronal plasticity, long-term potentiation (LTP). We demonstrated that cGMP/PKG signaling mediates early memory consolidation as well as early-phase-LTP, while cAMP/PKA signaling mediates late consolidation and late-phase-like LTP. Additionally, we show for the first time that early-phase cGMP/PKG-signaling requires late-phase cAMP/PKA-signaling in both LTP and long-term memory formation.Neuropsychopharmacology accepted article preview online, 12 May 2014; doi:10.1038/npp.2014.106
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