33 research outputs found

    Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c

    Get PDF
    Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance

    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

    Get PDF
    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 <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For schoolaged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference) and obesity (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 underweight 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 obesit

    What is known about the role of rural-urban residency in relation to self-management in people affected by cancer who have completed primary treatment? A scoping review.

    Get PDF
    Purpose Despite wide acknowledgement of differences in levels of support and health outcomes between urban and rural areas there is a lack of research that explicitly examines these differences in relation to self-management in people affected by cancer following treatment. This scoping review aimed to map the existing literature that examines self-management in people affected by cancer who were post-treatment from rural and urban areas. Methods Arksey and O’Malley’s framework for conducting a scoping review was utilised. Keyword searches were performed in: Academic Search Complete, CINAHL, MEDLINE, PsycINFO, Scopus and Web of Science. Supplementary searching activities were also conducted. Results 438 articles were initially retrieved and 249 duplicates removed leaving 192 articles that were screened by title, abstract and full text. 9 met the eligibility criteria and were included in the review. They were published from 2011-2018 and conducted in the USA (n=6), Australia (n=2) and Canada (n=1). None of the studies offered insight into self-managing cancer within a rural-urban context in the UK. Studies used qualitative (n=4), mixed methods (n=4) and quantitative designs (n=1). Conclusion If rural and urban populations define their health in different ways as some of the extant literature suggests then efforts to support self-management in both populations will need to be better informed by robust evidence given the increasing focus on patient centred care. It is important to consider if residency can be a predictor of as well as, a barrier or facilitator to self-management

    Global variations in diabetes mellitus based on fasting glucose and haemogloblin A1c

    Get PDF
    Fasting plasma glucose (FPG) and haemoglobin A1c (HbA1c) are both used to diagnose diabetes, but may identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening had elevated FPG, HbA1c, or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardised proportion of diabetes that was previously undiagnosed, and detected in survey screening, ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the agestandardised proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global gap in diabetes diagnosis and surveillance.peer-reviewe

    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

    Get PDF
    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

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

    Get PDF
    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

    Residential area and health:a study of the Northern Finland Birth Cohort 1966

    No full text
    Abstract Sparsely populated Finland is an interesting area for studying the effects of population density and distance on health. Previous studies indicate health problems in rural and remote areas. Aim is to study the importance of local residential area to health of young adults: how the residential area is associated with health, what is the role of geographical distance and how health is associated with moving. Study utilises the 31-year follow-up data from the Northern Finland Birth Cohort 1966 study, initially including all children born in the provinces of Oulu and Lapland in 1966. Local residential area is defined with 1 km² population density grid data. Distances to municipality centre or health centre are calculated using Finnish road network data (Digiroad). Perceived health in rural and urban areas is studied with ordinal logistic regression; body mass index (BMI) and overweight in relation to distance to municipality’s centre and population density using a generalised additive model. Role of distance in health centre use and distance-related inequity are studied with negative binomial regression and concentration indices, and health’s association with moving in multinomial logistic regressions. Poor perceived health increased from densely to sparsely populated areas. Among rural men adverse psychosocial and lifestyle factors were behind the associations, among women reasons for poor health in scattered settlement areas remained unclear. BMI and overweight increased at distances greater than 5 kilometres from municipality centre and with decreasing population density. No barrier effects of distance or distance-related inequity in the health centre use was found. Dissatisfaction with life and history of morbidity were associated with rural-urban moves, activity limiting illness with rural-rural moves, and frequent use of health services with all urban moves. Geographical distance was not a major barrier in health service use among young adults. Individual’s health status was linked with moving and may be relevant for rural-urban health inequalities. Local health variations within small administrative areas can be identified by grid-based data, indicating the need of customised interventions. Urban sprawl may affect people’s bodyweight, also urging health-based planning of residential areas. Longitudinal perspective would improve predictive value of findings.Tiivistelmä Harvaan asuttu Suomi on kiinnostava alue väentiheyden ja etäisyyden terveysvaikutusten tutkimiselle. Aiempien tutkimusten mukaan maaseutumaisilla ja syrjäisillä alueilla on monia terveysongelmia. Tutkimuksen tarkoituksena on selvittää asuinympäristön merkitystä nuorten aikuisten terveydelle: miten asuinympäristö on yhteydessä terveyteen, mikä rooli etäisyydellä on ja miten terveys on yhteydessä muuttamiseen. Aineistona on Pohjois-Suomen syntymäkohortti 1966:n 31-vuotisseuranta-aineisto, sisältäen alkujaan kaikki vuonna 1966 Oulun ja Lapin läänissä syntyneet lapset. Asuinympäristö määritettiin 1 km2 väestöruutuaineiston avulla. Etäisyydet kunta- ja terveyskeskuksiin laskettiin Suomen tie- ja katuverkkotietokantaa (Digiroad) käyttäen. Koettua terveyttä tutkittiin maaseutu-kaupunkijatkumolla ordinaalisella logistisella regressiolla; painoindeksin (BMI) ja ylipainon yhteyttä kuntakeskusetäisyyteen ja väentiheyteen yleistetyllä additiivisella mallilla. Terveyspalvelujen käyttöä ja käytön oikeudenmukaisuutta etäisyyden suhteen tutkittiin negatiivisella binomiregressiolla ja konsentraatioindekseillä, ja terveyden yhteyttä muuttamiseen multinomiaalisella logistisella regressiolla. Huono koettu terveys lisääntyi kaupunkikeskustoista haja-asutusalueille. Maalla asuvien miesten huono koettu terveys selittyi psykososiaalisilla ja terveyskäyttäytymistekijöillä; naisilla syy huonoon koettuun terveyteen haja-asutusalueella jäi epäselväksi. BMI ja ylipainoisten osuus alkoivat kasvaa kuntakeskusetäisyyden ylittäessä viisi kilometriä ja väentiheyden vähetessä. Etäisyys ei vähentänyt terveyskeskuspalvelujen käyttöä, eikä etäisyyteen liittyvää epäoikeudenmukaisuutta havaittu. Elämään tyytymättömyys ja elämänaikainen sairastavuus olivat yhteydessä maaseutu-kaupunkimuuttoihin, haittaava sairastavuus maaseudun sisäisiin muuttoihin ja terveyspalvelujen käyttö kaikkiin kaupunkimuuttoihin. Maantieteellinen etäisyys ei estänyt nuorten aikuisten terveyspalvelujen käyttöä. Yksilön terveys oli yhteydessä muuttamiseen, millä voi olla merkitystä myös terveyden alue-eroille. Ruutuaineiston avulla voidaan löytää terveyseroja hallinnollisten alueiden sisältä, mikä kannustaa toimenpiteiden räätälöintiin eri alueille. Kaupunkirakenteen hajautuminen voi vaikuttaa yksilön painoon, joten terveysnäkökulma tulisi huomioida aluesuunnittelussa. Pitkittäinen tutkimusote parantaisi löydösten ennustavuutta
    corecore