Content Analysis of Media Coverage of Childhood Obesity Topics in UAE Newspapers and Popular Social Media Platforms, 2014-2017

Abstract The 2017 prevalence of obesity among children (age 5–17 years) in the United Arab Emirates (UAE) is 13.68%. Childhood obesity is one of the 10 top health priorities in the UAE. This study examines the quality, frequency, sources, scope and framing of childhood obesity in popular social media and three leading UAE newspapers from 2014 to 2017. During the review period, 152 newspaper articles from three leading national newspapers – Gulf News, The National and Al Ittihad – met the eligibility criteria for this study. There were 57 Facebook posts, 50 Twitter posts, 14 posted YouTube videos, and 13 Media releases on related to childhood obesity between 2014 and 2017. Childhood obesity was consistently problematized, primarily in health terms, but was not strongly linked to socio-economic and geographical factors. Childhood obesity was framed as being predominantly influenced by individual and parental behaviours more frequently (n = 76) compared with structural or environmental factors such as the roles of the food and beverage industry (n = 22). Unlike findings from studies with adult obesity, articles advocating individual behavior changes to address childhood obesity were relatively few (n = 29). Social media may be an effective way to help children overcome obesity, in part through online interaction with health care providers and health conscious obese peers. Areas for improvement in social media use to reduce childhood obesity prevalence in UAE include enhancing public engagement with social media posts on childhood obesity, as reflected in the numbers of Likes and Retweets or Shares

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

Traditional, religious, and cultural perspectives on mental illness: a qualitative study on causal beliefs and treatment use

Purpose Limited information is known from studies regarding traditional, religious, and cultural perspectives on mental illness and the use of traditional and alternative therapies by mentally ill people in Indonesia. This study explored traditional, religious, and cultural beliefs about causes of mental illness and the use of traditional/alternative treatments for mentally ill patients. Method We adopted a qualitative content analysis method as proposed by Schreier. This study was conducted at a mental Hospital in Indonesia. We interviewed 15 nurses and 15 patients. Data were analysed using qualitative content analysis method. Results Five discrete but interrelated themes emerged: 1) Possessed illness and belief in supernatural forces; 2) Sinful or cursed illness; 3) Witchcraft or human-made illness; 4) traditional/alternative treatments; and 5) Barriers to treatment of mental illness. Conclusion Traditional/alternative treatments play an important role in meeting the need for mental health treatment. The findings are relevant for mental health nurses who provide direct to their patients, and for other areas of mental health practice. We also found a lack of knowledge about the causes of mental illness among patients and families. Education should be at the heart of mental health promotion to raise the level of mental health literacy in Indonesia

PREVALENCE OF COMPLICATIONS AFTER ODONTOPLASTY

Background:Cosmetic dentistry, also known as enameloplasty, is what odontoplasty refers to. This cosmetic dentistry treatment that strives to enhance the function of human teeth also includes contouring and reshaping of the teeth. Enhancing the look of a persons teeth by modifying their size, length, or even shape is a popular cosmetic procedure nowadays. This research aimed to assess and understand the issues and complications that are reported to have been faced by many people who have gone through the procedure of odontoplasty. Methods:A cross-sectional study was used to understand the prevalence of complications after odontoplasty. The philosophy of positivism is appropriate for this research as it helped in the descriptive assessment of the quantitative data gathered. An inductive research approach would be implemented because this approach relies on building up new theories and developing perceptions from existing theories. This is the need of this research work, and therefore an approach of inductive nature would be the best fit.The sampling method that was implemented is stratified random sampling, which would help consider those individuals in the UK going through the odontoplasty procedure. The sample age group is within the range of 25-40 years. Results:Study included 562 participants in which all of them responded to study survey questions. The most frequent complication was weak tooth (n= 268, 47.7%). More than third of study participants didnt support the changing of natural appearance of the tooth (n= 216, 38.4%). However, 63% would like to further changing the existing shape and size of their teeth (n= 354). On the other hand, 241 participants believed that odontoplasty is a necessity (42.9%). The same percentage almost recommended others to undergo odontoplasty (n= 239, 42.5%). 312 participants felt moderate pain (55.5%) is more than half of study participants. The most frequent reason why participants underwent odontolplasty was bad shape of teeth (n= 259, 46.1%). Conclusion:The most prevalent consequence was weak teeth. More over a third of survey participants opposed altering the tooths natural look, according to the study findings. However, more than half of individuals would desire to modify their present tooth form and size. Some participants, however, thought that odontoplasty is necessary. Over fifty percent of subjects reported moderate discomfort. About half of them claimed that it would endure for extended period of tim

Body appreciation around the world: Measurement invariance of the Body Appreciation Scale-2 (BAS-2) across 65 nations, 40 languages, gender identities, and age

The Body Appreciation Scale-2 (BAS-2) is a widely used measure of a core facet of the positive body image construct. However, extant research concerning measurement invariance of the BAS-2 across a large number of nations remains limited. Here, we utilised the Body Image in Nature (BINS) dataset - with data collected between 2020 and 2022 - to assess measurement invariance of the BAS-2 across 65 nations, 40 languages, gender identities, and age groups. Multi-group confirmatory factor analysis indicated that full scalar invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional BAS-2 model has widespread applicability. There were large differences across nations and languages in latent body appreciation, while differences across gender identities and age groups were negligible-to-small. Additionally, greater body appreciation was significantly associated with higher life satisfaction, being single (versus being married or in a committed relationship), and greater rurality (versus urbanicity). Across a subset of nations where nation-level data were available, greater body appreciation was also significantly associated with greater cultural distance from the United States and greater relative income inequality. These findings suggest that the BAS-2 likely captures a near-universal conceptualisation of the body appreciation construct, which should facilitate further cross-cultural research