The rising burden of type 2 diabetes is a major concern in healthcare worldwide. This research aimed to analyze the global epidemiology of type 2 diabetes. We analyzed the incidence, prevalence, and burden of suffering of diabetes mellitus based on epidemiological data from the Global Burden of Disease (GBD) current dataset from the Institute of Health Metrics, Seattle. Global and regional trends from 1990 to 2017 of type 2 diabetes for all ages were compiled. Forecast estimates were obtained using the SPSS Time Series Modeler. In 2017, approximately 462 million individuals were affected by type 2 diabetes corresponding to 6.28% of the world’s population (4.4% of those aged 15–49 years, 15% of those aged 50–69, and 22% of those aged 70+), or a prevalence rate of 6059 cases per 100,000. Over 1 million deaths per year can be attributed to diabetes alone, making it the ninth leading cause of mortality. The burden of diabetes mellitus is rising globally, and at a much faster rate in developed regions, such as Western Europe. The gender distribution is equal, and the incidence peaks at around 55 years of age. Global prevalence of type 2 diabetes is projected to increase to 7079 individuals per 100,000 by 2030, reflecting a continued rise across all regions of the world. There are concerning trends of rising prevalence in lower-income countries. Urgent public health and clinical preventive measures are warranted.

Background Ischemic heart disease (IHD) is a leading cause of death worldwide. Also referred to as coronary artery disease (CAD) and atherosclerotic cardiovascular disease (ACD), it manifests clinically as myocardial infarction and ischemic cardiomyopathy. This study aims to evaluate the epidemiological trends of IHD globally. Methods The most up-to-date epidemiological data from the Global Burden of Disease (GBD) dataset were analyzed. GBD collates data from a large number of sources, including research studies, hospital registries, and government reports. This dataset includes annual figures from 1990 to 2017 for IHD in all countries and regions. We analyzed the incidence, prevalence, and disability-adjusted life years (DALY) for IHD. Forecasting for the next two decades was conducted using the Statistical Package for the Social Sciences (SPSS) Time Series Modeler (IBM Corp., Armonk, NY). Results Our study estimated that globally, IHD affects around 126 million individuals (1,655 per 100,000), which is approximately 1.72% of the world's population. Nine million deaths were caused by IHD globally. Men were more commonly affected than women, and incidence typically started in the fourth decade and increased with age. The global prevalence of IHD is rising. We estimated that the current prevalence rate of 1,655 per 100,000 population is expected to exceed 1,845 by the year 2030. Eastern European countries are sustaining the highest prevalence. Age-standardized rates, which remove the effect of population changes over time, have decreased in many regions.

The COVID-19 lockdown produced behavioral, psychosocial and environmental changes which, through a variety of mechanisms, has led to widespread rapid weight gain amongst certain populations worldwide. We have termed this phenomenon ‘covibesity’. There has been an increase in food shopping, food take ways and increase in alcohol sales. Furthermore, the combination of working from home, on-line education and social media usage have all caused screen time to surge. The food industry has intensified on-line advertising focused on children. A swift response is needed from all stakeholders to prevent covibesity becoming a pandemic.

Pandemics and subsequent lifestyle restrictions such as ‘lockdowns’ may have unintended consequences, including alterations in body weight. This systematic review assesses the impact of pandemic confinement on body weight and identifies contributory factors. A comprehensive literature search was performed in seven electronic databases and in gray sources from their inception until July 1st 2020 with an update in PubMed and Scopus on February 1st 2021. In total, 2,361 unique records were retrieved, of which 41 studies were identified eligible: 1 case control study, 14 cohort and 26 cross-sectional studies (469, 362 total participants). The participants ranged in age from 6–86 years. The proportion of female participants ranged from 37% to 100%. Pandemic confinements were associated with weight gain in 7.2%–72.4% of participants and weight loss in 11.1%–32.0% of participants. Weight gain ranged from 0.6 (±1.3) to 3.0 (±2.4) kg, and weight loss ranged from 2.0 (±1.4) to 2.9 (±1.5) kg. Weight gain occurred predominantly in participants who were already overweight or obese. Associated factors included increased consumption of unhealthy food with changes in physical activity and altered sleep patterns. Weight loss during the pandemic was observed in individuals with previous low weight, and those who ate less and were more physically active before lock down. Maintaining a stable weight was more difficult in populations with reduced income, particularly in individuals with lower educational attainment. The findings of this systematic review highlight the short-term effects of pandemic confinements.

Type 2 diabetes mellitus is a widespread medical condition, characterized by high blood glucose and inadequate insulin action, which leads to insulin resistance. Insulin resistance in insulin-responsive tissues precedes the onset of pancreatic β-cell dysfunction. Multiple molecular and pathophysiological mechanisms are involved in insulin resistance. Insulin resistance is a consequence of a complex combination of metabolic disorders, lipotoxicity, glucotoxicity, and inflammation. There is ample evidence linking different mechanistic approaches as the cause of insulin resistance, but no central mechanism is yet described as an underlying reason behind this condition. This review combines and interlinks the defects in the insulin signal transduction pathway of the insulin resistance state with special emphasis on the AGE-RAGE-NF-κB axis. Here, we describe important factors that play a crucial role in the pathogenesis of insulin resistance to provide directionality for the events. The interplay of inflammation and oxidative stress that leads to β-cell decline through the IAPP-RAGE induced β-cell toxicity is also addressed. Overall, by generating a comprehensive overview of the plethora of mechanisms involved in insulin resistance, we focus on the establishment of unifying mechanisms to provide new insights for the future interventions of type 2 diabetes mellitus.

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Background: The burden associated with Alzheimer’s disease is recognized as one of the most pressing issues in healthcare. This study aimed to examine the global and regional burden of Alzheimer’s disease and related dementias. Methods: Epidemiological data from the latest Global Burden of Disease (GBD) dataset were analysed to determine the prevalence, incidence and mortality rates from 1990 to 2019 for 204 countries and world regions. This dataset derives estimates for health metrics by collating primary data from research studies, disease registries and government reports. Temporal forecasting was conducted using the GBD Foresight tool. Results: An estimated 0.7% of the global population has dementia, translating to 51.6 million people worldwide. The total number of persons affected has more than doubled from 1990 to 2019. Dementia metrics showed a continuous increase in prevalence, incidence, mortality, and disability adjusted life years (DALYs) rates worldwide during the last three decades. Japan has the highest prevalence (3,079 cases per 100,000), followed by Italy, Slovenia, Monaco, Greece and Germany. The prevalence is higher in high-income regions such as Western Europe compared to Asia and Africa. However, total number of affected individuals is substantial in South and East Asian regions, in particular China, Japan and India. Dementia related deaths are projected to increase from the current 2.4 million per year to 5.8 million by 2040. Women are more likely to be affected by dementia than men. Age-standardized rates have not changed indicating possible stability of risk factors. Conclusions: Alzheimer’s disease and other dementias are rising rapidly and will more than double in mortality burden over the next 20 years. The tremendous burden in high- and middle-income countries can potentially overwhelm communities and health systems. Urgent measures are needed to allocate funding and provide residential care for affected persons.

Pandemics and subsequent lifestyle restrictions such as lockdowns may have unintended consequences including alterations in body weight. Understanding the impact and the mechanisms affecting body weight is paramount for planning effective public health measures for both now and future lockdown-type situations. This systematic review assesses and the impact of pandemic confinement on body weight and to identifies contributory factors. A comprehensive literature search was performed in seven electronic databases and in gray sources from their inception until 1st July 2020 with an update in PubMed and Scopus on 1st February 2021. In total, 2,361 unique records were retrieved, of which 41 studies were identified eligible: 1 case-control study, 14 cohort and 26 cross-sectional studies (469362 total participants). Weight gain occurred predominantly in participants who were already overweight or obese. Associated factors included increased consumption of unhealthy food with decreased intake of healthy fresh fruits and vegetables, changes in physical activity, and altered sleep patterns. Weight loss during the pandemic was observed in individuals with previous low weight, and those who ate less and were more physically active before lock down. Associated factors included increased intake of fruits and vegetables, drinking more water and consuming no alcohol. Maintaining a stable weight was more difficult in populations with reduced income particularly in individuals with lower educational attainment. The findings of this systematic review highlight the short-term effects of pandemic confinements. Learning from the lockdown experience is fundamental if we are to prepare for the next wave; a holistic, reactive, tailored response is needed involving multiple providers.