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Background: The determinants of access to immunizers are still poorly understood, leading to questions about which criteria were considered in this distribution. Given the above, the present study aimed to analyze the determinants of access to the SARS-CoV-2 vaccine by different countries. Methods: The study covered 189 countries using data from different public databases, and collected until February 19, 2021. We used eight explanatory variables: gross domestic product (GDP), extreme poverty, human development index (HDI), life expectancy, median age, coronavirus disease 2019 (COVID-19) cases, COVID-19 tests, and COVID-19 deaths. The endogenous variables were total vaccine doses, vaccine doses per thousand, and days of vaccination. The structural equation modeling (SEM) technique was applied to establish the causal relationship between the country's COVID-19 impact, socioeconomic variables, and vaccine access. To support SEM, we used confirmatory factor analysis, t-test, and Pearson's correlation. Results: We collected the sample on February 19, and to date, 80 countries (42.1%) had already received a batch of immunizers against COVID-19. The countries with first access to the vaccine (e.g., number of days elapsed since they took the first dose) were the United Kingdom (68), China (68), Russia (66), and Israel (62). The countries receiving the highest doses were the United States, China, India, and Israel. The countries with extreme poverty had lower access to vaccines and the richer countries gained priority access. Countries most affected by COVID (deaths and cases) also received immunizers earlier and in greater volumes. Unfortunately, similar to other vaccines, indicators, such as income, poverty, and human development, influence vaccines' access. Thus affecting the population of vulnerable and less protected countries. Therefore, global initiatives for the equitable distribution of COVID need to be discussed and encouraged. Conclusions: Determinants of vaccine distribution consider the impact of the disease in the country and are also affected by favorable socioeconomic indicators. The COVID-19 vaccines need to be accessible to all affected countries, regardless of their social hands. [ABSTRACT FROM AUTHOR]

Background Previous reports about health-related quality of life (HRQoL) of type 2 diabetes mellitus (T2DM) concentrated on general patients rather than patients in rural areas with poor infrastructure and limited resources. Thus, the aims of this study were to evaluate the HRQoL of diabetics in the countryside and explore its influencing factors. Methods A total of 23 053 participants aged from 18 to 79 years were drawn from the Henan Rural Cohort Study for this cross-sectional study. The HRQoL of participants were assessed by utility index and VAS-score of European Quality of Life Five Dimension Five Level Scale (EQ-5D-5L) instrument. Binary logistic regression, generalized linear and tobit regression models were used to estimate the potential influencing factors on HRQoL. Results This study (23 053 participants) included 2231 T2DM patients with a crude prevalence of 9.68%. The utility index and VAS-score in health group were 0.96 ± 0.10 and 78.85 ± 14.53, while in T2DM group were 0.93 ± 0.15 and 74.09 ± 16.09, respectively. In total, most diabetics reported problem about pain/discomfort dimension. Being old, poverty, low physical activity, and with comorbidities was negatively related to HRQoL of diabetics, while high educational level was positively related to HRQoL. Conclusion HRQoL of rural T2DM patients depended on several sociodemographic factors. More attention should be paid to diabetics with poor socioeconomic status in rural areas. Clinical trial registration The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699) http://www.chictr.org.cn/showproj.aspx?proj=11375. [ABSTRACT FROM AUTHOR]

It has been shown that food insecurity is associated with poor diet quality and unfavourable health outcomes. However, little is known about the potential effects of food insecurity on the overall malnutrition status among children. In this study, we investigated the prevalence of food insecurity among 1583 elementary school students, aged 6–14 years, living in Chinese rural areas and examined its association with four malnutrition signs, including rickets sequelae, anaemia, stunting and wasting. Information on food security was collected via questionnaires. Rickets sequelae were assessed by an experienced paediatrician during the interview. Anaemia was determined by the WHO Hb thresholds adjusted by the local altitude. Weight and height were measured during the interview. Stunting and wasting were then evaluated according to WHO child growth standards (2007). We examined the association between food insecurity and the number of malnutrition signs (total number=4), and the likelihood of having severe malnutrition (presence of 3+ signs), after adjusting for potential confounders, such as age, social-economic status and dietary intakes. During the previous 12 months, the overall prevalence of food insecurity was 6·1 % in the entire studied population and 16·3 % in participants with severe malnutrition. Participants with food insecurity had a slightly higher number of malnutrition signs (1·14 v. 0·96; P=0·043) relative to those who were food secure, after adjusting for potential confounders. Food insecurity was also associated with increased likelihood of having severe malnutrition (adjusted OR 3·08; 95 % CI 1·47, 6·46; P=0·003). In conclusion, food insecurity is significantly associated with malnutrition among Chinese children in this community. [ABSTRACT FROM PUBLISHER]