This study systematically analyzes the research that used the Health Belief Model (HBM) as a theoretical basis to examine the influence of HBM constructs on COVID-19 vaccine hesitancy. Following PRISMA guidelines, PubMed, Web of Science, Google Scholar, and Scopus were searched for quantitative studies. Sixteen studies with 30,242 participants met inclusion criteria. The prevalence of COVID-19 vaccine hesitancy was 33.23% (95% CI 24.71–41.39%). Perceived barriers and perceived benefits were the most common HBM constructs that were significantly associated with vaccine hesitancy. While perceived benefits was inversely associated, a positive association was found between perceived barriers and vaccine hesitancy. Other HBM constructs that were frequently examined and inversely associated were perceived susceptibility, cues to action, perceived severity, and self-efficacy. The most common HBM modifying factor that was directly associated with COVID-19 vaccine hesitancy was gender, followed by education, age, geographical locations, occupation, income, employment, marital status, race, and ethnicity; however, a few studies report inconsistent results. Other modifying variables that influenced vaccine hesitancy were knowledge of COVID-19, prior diagnosis of COVID-19, history of flu vaccination, religion, nationality, and political affiliation. The results show that HBM is useful in predicting COVID-19 vaccine hesitancy.

This study systematically analyzed the literature using the theory of planned behavior (TPB) as a theoretical framework to examine the influence of its constructs on vaccination intention against COVID-19. Quantitative studies were searched in PubMed, CINAHL, Web of Science, and Google Scholar following the PRISMA guidelines. The average rate of COVID-19 vaccination intention was 73.19%, ranging from 31% to 88.86%. Attitude had the strongest association with vaccination intention (r+ = 0.487, 95% CI: 0.368–0.590), followed by subjective norms (r+ = 0.409, 95% CI: 0.300–0.507), and perceived behavioral control (r+ = 0.286, 95% CI: 0.198–0.369). Subgroup analyses showed that the pooled effect sizes of TPB constructs on vaccination intention varied across geographic regions and study populations. Attitude had large effect sizes in Asia, Europe, and Oceania, especially among the adult general population, parents, and patients. Subjective norms had large effect sizes in Asia and Oceania, especially among parents and patients. Perceived behavioral control was the most dominant predictor of vaccination acceptance in Africa among patients. These findings suggest that TPB provides a useful framework for predicting intention to receive a COVID-19 vaccine. Hence, public awareness and educational programs aimed at promoting COVID-19 vaccination intention should consider using TPB as a framework to achieve the goal.

Background: Diabetes is a major challenge for a resource-limited country like India. Majority of the patients are diagnosed late in the course of illness with presence of complications. There is limited data on diabetes from rural India. Present study is an attempt to provide data on diabetes in rural India. The overall objective of present study was to estimate the prevalence of Type 2 diabetes mellitus in rural population above 25 years age in district Etawah and neighbouring areas of Uttar Pradesh, India.Methods: The study was planned to determine the prevalence of diabetes mellitus in rural community by health camp and door to door approach. Fasting capillary blood glucose was first determined using a glucose meter (SD check code free, SD biosensor Inc. Korea). All the adults were given 75gm of glucose dissolved in 200ml water which was drunk over a period of up to 5 minutes and the 2-hour post load capillary blood glucose was estimated. Diabetic status was confirmed by taking blood samples for fasting and postprandial blood sugar levels in a fluoride vacutainer. Fasting plasma glucose ≥126mg/dl and or 2-hour postprandial glucose ≥200mg/dl were taken as the diagnostic criteria for diagnosis.Results: Prevalence of type 2 diabetes in the rural population was found to be 8.03%. Prevalence was higher in female population (9.91%) as compared to males (6.79%). 19.74 % of participants over 70 yrs of age were diabetics while diabetes was present only in 2.95% of participants in the age group of 25-39 year. The maximum number of diabetes were in the age group of 50-59 years. 10.04 % of participants were diagnosed to be Prediabetics. 35.77% of the diabetics were newly diagnosed.Conclusions:Present study shows there is high prevalence of type 2 diabetes in rural area of western Uttar Pradesh, India.

Purpose The purpose of this paper is to examine the indirect effects of nutritional knowledge and attitude toward food label use on food label use through self-efficacy and trust, as well as whether gender moderates this relationship. Design/methodology/approach A sample of Indian adults with multiple chronic conditions was surveyed about their nutritional knowledge, attitude, self-efficacy and use of food labels. Hypotheses were tested using Hayes’s (2013) PROCESS macro for SPSS. Findings The results show that nutritional knowledge and attitude toward food label use positively predict food label use through self-efficacy and trust. However, these mediation effects are moderated by gender such that the indirect relationship is stronger among men than women. Practical implications Food marketers and government agencies engaged in nutrition education campaigns should aim to increase patients’ confidence in comprehending food label information. Social implications Since food labels can be a valuable tool to help patients with chronic diseases to make informed decisions about their diet and lifestyle, regulators may consider mandating nutritional labels on foods to help them improve their food or dietary choices. Originality/value This study uniquely applies Fisher and Fisher’s (1992) information–motivation–behavioral skills model as a theoretical framework to examine the influence of nutrition knowledge and attitude toward food label use on food label usage of Indian patients with multiple chronic diseases.

Background: Prevalence of non-communicable diseases like hypertension, diabetes mellitus and coronary artery disease is on the rise due to the change in lifestyle, unfavourable dietary habits and obesity. Metabolic syndrome is a simple tool by which we can predict the future risk of diabetes mellitus and cardiovascular disease. Studies showed that prevalence of metabolic syndrome is rising in Indian population, but majority of them were done in urban population. This study was conducted to look into the current status of the metabolic syndrome in rural population.Methods: The study was conducted among a population of 2982. Each participant was subjected to clinical examination, anthropometric measurements and necessary laboratory investigations. Metabolic syndrome was diagnosed based on modified NCEP: ATP III criteria.Results: The prevalence of metabolic syndrome was found to be 11.7% and was higher among female population (13.8%) as compared to males (9.6%). The prevalence of metabolic syndrome increased with increasing age. 28.3% of the participants over the age of 50 years had metabolic syndrome whereas it was only 0.4% below the age of 20 years. Nearly half (47.1%) of the obese individuals were suffering from metabolic syndrome implicating obesity as one of the most important risk factors in the etiopathogenesis of metabolic syndrome. The prevalence was only 1.1% among the underweight group.Conclusions: Present study has shown moderate prevalence of metabolic syndrome among the rural population of Western Uttar Pradesh, India with a more female predisposition.