Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults.We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5-19 years. We used a Bayesian hierarchical model to estimate trends from 1975 to 2016 in 200 countries for mean BMI and for prevalence of BMI in the following categories for children and adolescents aged 5-19 years: more than 2 SD below the median of the WHO growth reference for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity).Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0·01 kg/m2 per decade; 95% credible interval -0·42 to 0·39, posterior probability [PP] of the observed decrease being a true decrease=0·5098) in eastern Europe to an increase of 1·00 kg/m2 per decade (0·69-1·35, PP>0·9999) in central Latin America and an increase of 0·95 kg/m2 per decade (0·64-1·25, PP>0·9999) in Polynesia and Micronesia. The range for boys was from a non-significant increase of 0·09 kg/m2 per decade (-0·33 to 0·49, PP=0·6926) in eastern Europe to an increase of 0·77 kg/m2 per decade (0·50-1·06, PP>0·9999) in Polynesia and Micronesia. Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls. By contrast, the rise in BMI has accelerated in east and south Asia for both sexes, and southeast Asia for boys. Global age-standardised prevalence of obesity increased from 0·7% (0·4-1·2) in 1975 to 5·6% (4·8-6·5) in 2016 in girls, and from 0·9% (0·5-1·3) in 1975 to 7·8% (6·7-9·1) in 2016 in boys; the prevalence of moderate and severe underweight decreased from 9·2% (6·0-12·9) in 1975 to 8·4% (6·8-10·1) in 2016 in girls and from 14·8% (10·4-19·5) in 1975 to 12·4% (10·3-14·5) in 2016 in boys. Prevalence of moderate and severe underweight was highest in India, at 22·7% (16·7-29·6) among girls and 30·7% (23·5-38·0) among boys. Prevalence of obesity was more than 30% in girls in Nauru, the Cook Islands, and Palau; and boys in the Cook Islands, Nauru, Palau, Niue, and American Samoa in 2016. Prevalence of obesity was about 20% or more in several countries in Polynesia and Micronesia, the Middle East and north Africa, the Caribbean, and the USA. In 2016, 75 (44-117) million girls and 117 (70-178) million boys worldwide were moderately or severely underweight. In the same year, 50 (24-89) million girls and 74 (39-125) million boys worldwide were obese.The rising trends in children's and adolescents' BMI have plateaued in many high-income countries, albeit at high levels, but have accelerated in parts of Asia, with trends no longer correlated with those of adults.Wellcome Trust, AstraZeneca Young Health Programme.
Abstract Background Health Literacy-HL is an important determinant to improve and maintain health and quality of life during life course. HL implies people’s knowledge, motivation, competencies to access, understand, appraise, apply information to make judgements and decisions in everyday life concerning healthcare, disease prevention, health promotion. Thanks to Ministry of Health funds, Italy joined the WHO Action Network on Measuring Population and Organizational Health Literacy-M-POHL for collecting comparable data on HL in order to measure and promote citizens’ HL among MS. Objective: The HLS-EU-Q16 questionnaire was administered to a sample of adult population during the Health Examination Survey-HES of the CUORE Project started in 2018, to verify and evaluate the feasibility of the HL survey. Methods One hundred people aged 35-74 years, resident in Reggio Calabria (South of Italy), were interviewed (face-to-face) following consecutive access to the HES. According to the HLS-EU-Q16 sum score, three levels of HL were defined: inadequate, problematic, and sufficient. HL mean score and standard deviation-SD were elaborated together with prevalence of the three HL levels. Socio-demographics conditions, lifestyles, risk factors were measured during the HES. Results HL mean score of 98 completed questionnaires (47 men, 51 women) was 13.0 (SD = 3.5), with no sex difference; prevalence of persons with inadequate HL was 11.2%, problematic 26.5%, sufficient 62.3%. Sufficient HL level presents the highest prevalence (72%) of high educational level. Smoking habit decreases as HL level increases. Conclusions The HLS-EU-Q16 questionnaire represents a standardised tool applicable in the general population. Preliminary results from the Italian pilot of the HLS-EU-Q16 suggest that the survey is feasible within the HES of the CUORE Project, with the opportunity to link HL data with HES measured data. More than one third of interviewed adult population have inadequate/problematic HL.
Background: Chronic kidney disease (CKD) independently increases the risk of death and cardiovascular disease (CVD) in the general population.However, the relationship between estimated glomerular filtration rate (eGFR) and CVD/death risk in a general population at low risk of CVD has not been explored so far.Design: Baseline and longitudinal data of 1465 men and 1459 women aged 35-74 years participating to the MATISS study, an Italian general population cohort, were used to evaluate the role of eGFR in the prediction of all-cause mortality and incident CVD.Methods: Bio-bank stored sera were used to evaluate eGFR at baseline.Serum creatinine was measured on thawed samples by means of an IDMS-calibrated enzymatic method.eGFR was calculated by the CKD-EPI formula.Results: At baseline, less than 2% of enrolled persons had eGFR < 60 mL/min/1.73m 2 and more than 70% had a 10year cardiovascular risk score < 10%.In people 60 or more years old, the first and the last eGFR quintiles (<90 and ≥109 mL/min/1.73m 2 , respectively) were associated to an increased risk for both all-cause mortality (hazard ratio 1.6, 95% confidence interval 1.2-2.1 and 4.3, 1.6-11.7,respectively) and incident CVD (1.6, 1.0-2.4 and 7.0, 2.2-22.9,respectively), even if adjusted for classical risk factors. Conclusions:These findings strongly suggest that in an elderly, general population at low risk of CVD and low prevalence of reduced renal filtration, even a modest eGFR reduction is related to all-cause mortality and CVD incidence, underlying the potential benefit to this population of considering eGFR for their risk prediction.
BACKGROUND: Population-based data on coronary events are generally lacking for large areas, such as at the nation-wide level. While mortality data are currently and exhaustively collected in all developed countries and in a few developing countries, incidence and prevalence are often available only for certain subgroups of the population under study. METHODS: We propose to estimate population-based incidence and prevalence of coronary events through a mathematical method using mortality and survival data as input, and to forecast coronary event occurrence using an age, period and cohort approach. The method reconstructs incidence and prevalence of major coronary events in Italy from 1970 to 1997 and projects trends up to the year 2007 using survival data on coronary events from the Area Friuli-MONICA (MONItoring of CArdiovascular diseases) register. RESULTS: Major coronary event incidence has been decreasing since 1977 for men and since 1974, for women. Conversely, major coronary event prevalence increased up to the end of the 1980s for men and up to the early 1980s for women, and it has been declining thereafter. Major coronary event prevalence results from three main effects: increasing survival, population ageing, and incidence trend. CONCLUSIONS: Availability of national population data, collection of population-based survival data from the MONICA registers and appropriate statistical and mathematical methods help to estimate and project incidence and prevalence trends for major coronary events. This information is essential to plan and implement actions aimed at improving medical care services, and to evaluate the impact of public health interventions as well as spontaneously changing habits. Incidence, prevalence, mortality, projections, ischaemic heart disease, coronary events
Natriuretic peptides control cardiovascular functions through diuretic, natriuretic, and vasodilatory properties. Several anthropometric, cardiac and renal variables were found to be independently correlated to their levels. Few studies, however, systematically investigated the independent determinants of natriuretic peptide levels in large populations.The present analysis was carried out in a large unselected sample of adult male population in Southern Italy (The Olivetti Heart Study, n = 806 men, mean age = 59.5, range 35-82 years). We examined the relationship of plasma natriuretic peptide-proatrial natriuretic peptide (NT-proANP) levels with relevant anthropometric, clinical and biochemical variables; the impact of age; and the association of NT-proANP levels with cardiovascular risk.NT-proANP was directly associated to age, pulse pressure (PP), renal sodium fractional excretion (FENa) (P < 0.005), and inversely to diastolic blood pressure (DBP), heart rate (HR), creatinine clearance, body mass index (BMI), arm and leg circumferences (P < 0.005). After adjustment for age, DBP, creatinine clearance, FENa and HR remained independent determinants of NT-proANP levels (all P < 0.01, cumulative R = 0.186). Upon stratification of our population by tertile of age, NT-proANP was significantly associated (P
Autonomous systems, that need to operate in human environments and interact with the users, rely on understanding and anticipating human activity and motion. Among the many factors which influence human motion, semantic attributes, such as the roles and ongoing activities of the detected people, provide a powerful cue on their future motion, actions, and intentions. In this work we adapt several popular deep learning models for trajectory prediction with labels corresponding to the roles of the people. To this end we use the novel THÖR-Magni dataset, which captures human activity in industrial settings and includes the relevant semantic labels for people who navigate complex environments, interact with objects and robots, work alone and in groups. In qualitative and quantitative experiments we show that the role-conditioned LSTM, Transformer, GAN and VAE methods can effectively incorporate the semantic categories, better capture the underlying input distribution and therefore produce more accurate motion predictions in terms of Top-K ADE/FDE and log-likelihood metrics.
'%3e%3cpath fill='%23012169' d='M0 0v30h60V0z'/%3e%3cpath stroke='%23fff' stroke-width='6' d='m0 0 60 30m0-30L0 30'/%3e%3cpath stroke='%23C8102E' stroke-width='4' d='m0 0 60 30m0-30L0 30' clip-path='url(%23b)'/%3e%3cpath stroke='%23fff' stroke-width='10' d='M30 0v30M0 15h60'/%3e%3cpath stroke='%23C8102E' stroke-width='6' d='M30 0v30M0 15h60'/%3e%3c/g%3e%3c/svg%3e)
