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Food Research ; 6(4):407-412, 2022.
Article in English | EMBASE | ID: covidwho-2044349


Nutritional labelling is the nutritional description of the food on the label to help the consumer in food selection. The present study aimed to assess the knowledge, attitude and practices adopted by the subjects and correlate them to have a better understanding of their nutritional background. Nutrition labels are a prominent first-glance article that needs to be very catchy and easy to interpret. The organizations responsible for formulating the rules and regulations must keep them updated and devise new formats of the display to enhance the usage of food labels up to the maximum possible level. A cross-sectional research study on 100 working women of Varanasi, aged between 20-50 years was conducted through a self-structured questionnaire to evaluate their KAP level. In view of the COVID-19 pandemic, the questionnaire was administered to the respondents through the online medium using Google forms. It can be inferred from the study that 58 % of the total respondents surveyed were aware of the labels, 61% of them had a positive attitude towards its usage but only 52% practised healthy shopping more often. About 70% of the participants preferred back-of-pack labelling rather than front-of-pack because the former provides elaborative information. The factors like qualification and occupation of women participants had negative associations with the satisfaction of the display format. The women having knowledge regarding traffic light labelling showed a positive association with the usefulness of the same. The average practice percentage adopted by the consumers had a negative association with factors like qualification, income, and occupation. The need for simplifying the display format and providing basic nutrition information to the population is highlighted in this study.

Circulation ; 143(SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1325205


Introduction: The United States Centers for Disease Control and Prevention (CDC) issued behavioral recommendations to limit the spread of the novel coronavirus disease-2019 (COVID-19). No studies have examined the influence of various factors on adherence to COVID-19 preventive measures. Among individuals with co-morbidities, such as cardiovascular disease (CVD) and residing in rural communities, adherence is essential as they are at an increased risk of COVID-19 infection and increased disease severity. Objective: This study aims to explore factors influencing adherence to evidence-based recommendations for preventing COVID-19 among patients/family caregivers with CVD in rural Central Appalachia. Methods: During March-April 2020, 102 CVD Stakeholders-patients/family caregivers, community leaders, and providers from six states across Appalachia participated in a survey administered through RED Cap. This study used a subsample (n=73) that excluded providers. Adherence score was defined as the rate of compliance with health authorities' guidelines, including hand washing, physical distancing, staying home if sick, wearing a face mask, disinfecting and cleaning daily, and cough and sneezing etiquette. Simple and multiple linear regressions were performed to examine associations between adherence scores and variables of interest. Results: Over half (53.42%) of participants complied with all guidelines. Gender, employmentstatus, hypertension, smoking, no insurance, getting information about COVID-19 from Government/CDC website, and getting information about COVID-19 from worship place/club were significantly associated with adherence to CDC recommendations (p<0.05). Compared to lowpersonal perception of threat (PPT), having no and high PPT were associated with lower and higheradherence scores, respectively (β=-2.32, 1.42;p=0.001). Compared to low perception of COVID-19threat towards family/friends, having moderate or high perception of COVID-19 threat to wardfamily/friends was associated with improved adherence (β= 1.3, 1.57;p<0.05 for both), whereashaving no perception was negatively associated with adherence (β=-2.08, p=0.003). Moderate and high perception of COVID-19 threat toward one's community (β= 2.14, 2.06;p<0.001) were like wiseassociated with higher adherence. R squared for the model= 0.459. Conclusion: Moderate and high perceptions of COVID-19 threats are associated with higheradherence, whereas no perception was associated with lower adherence with health authority recommendations for COVID-19 prevention. These factors should be considered in order to developeffective adherence interventions for CVD stakeholders in rural communities. Results should beconfirmed in a larger study.