Background. Lack of adherence to dietary and physical activity guidelines has been linked to an increase in chronic diseases in the United States (US). The aim of this study was to assess the association of lifestyle behaviors with self-rated health (SRH). Methods. This cross-sectional study used self-reported data from Living for Health Program (N = 1,701) which was conducted from 2008 to 2012 in 190 health fair events in South Florida, US. Results. Significantly higher percent of females as compared to males were classified as obese (35.4% versus 27.0%), reported poor/fair SRH (23.4% versus 15.0%), and were less physically active (33.9% versus 25.4%). Adjusted logistic regression models indicated that both females and males were more likely to report poor/fair SRH if they consumed ≤2 servings of fruits and vegetables per day (OR = 2.14, 95% CI 1.30–3.54; OR = 2.86, 95% CI 1.12–7.35, resp.) and consumed mostly high fat foods (OR = 1.58, 95% CI 1.03–2.43; OR = 3.37, 95% CI 1.67–2.43, resp.). The association of SRH with less physical activity was only significant in females (OR = 1.66, 95% CI 1.17–2.35). Conclusion. Gender differences in health behaviors should be considered in designing and monitoring lifestyle interventions to prevent cardiovascular diseases.
Purpose of Review Nutritional status is affected by the COVID-19 pandemic, directly or indirectly. Even with the recent rollout of the coronavirus disease 2019 (COVID-19) vaccines and availability of medicines such as remdesivir, and monoclonal antibodies, host nutritional status is pivotal in the fight against the acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and outcomes. The purpose of this review is to discuss the effects of COVID-19-related lockdown on lifestyle behaviors, and the nutritional consequences, and the direct sequelae of the infection on nutrition including potential nutritional interventions. Recent Findings The COVID-19-related lockdown imposed radical changes in lifestyle behaviors with considerable short-term and long-term health and nutritional consequences including weight gain and obesity and increased cardiometabolic risk, consistently linked to worsened prognosis. The extent of the impact was dependent on food insecurity, overall stress and disordered eating, physical inactivity, and exposure to COVID-19-related nutrition information sources. COVID-19 could directly induce inflammatory responses and poor nutrient intake and absorption leading to undernutrition with micronutrient deficiencies, which impairs immune system function with subsequent amplified risk of infection and disease severity. Nutrition interventions through nutrition support, dietary supplementation, and home remedies such as use of zinc, selenium, vitamin D, and omega-3 fatty acids showed the most significant promise to mitigate the course of COVID-19 infection and improve survival rates. Summary The nutrition-COVID-19 relationship and related dietary changes mimic a vicious cycle of the double burden of malnutrition, both obesity and undernutrition with micronutrient deficiencies, which promote infection, disease progression, and potential death.
This study was performed to evaluate the effect of a six-week nutrition education intervention on the nutrition knowledge, attitude, practices, and nutrition status of school-age children (aged 6–12 years) in basic schools in Ghana. Short-term effects of nutrition education training sessions on teachers and caregivers were also assessed. Pre-post controlled design was used to evaluate the program. Intervention groups had significantly higher nutrition knowledge scores (8.8 ± 2.0 vs. 5.9 ± 2.1, P < 0.0001) compared to controls in the lower primary level. A higher proportion of children in the intervention group strongly agreed they enjoyed learning about food and nutrition issues compared to the control group (88% vs. 77%, P = 0.031). There was no significant difference in dietary diversity scores (4.8 ± 2.0 vs. 5.1 ± 1.4, P = 0.184) or in measured anthropometric indices (3.6% vs. 8.2%, P = 0.08). A marginally lower proportion of stunted schoolchildren was observed among the intervention group compared to the control group (3.6% vs. 8.2%, P = 0.080). Nutrition knowledge of teachers and caregivers significantly improved (12.5 ± 1.87 vs. 9.2 ± 2.1; P = 0.031) and (5.86 ± 0.73 to 6.24 ± 1.02, P = 0.009), respectively. Nutrition education intervention could have positive impacts on knowledge and attitudes of school children, and may be crucial in the development of healthy behaviors for improved nutrition status.
Background: Detecting early type 2 diabetes (T2D) risk factors may reduce or prevent the development of the disease. We conducted a pilot study to generate preliminary data on the perception of T2D and further determined the prevalence of T2D risk factors among college students at an upstate New York campus. Methods: Metabolic profiles were available for 44 college students for cross-sectional analysis. The American Diabetes Association screening guidelines were used to determine risk factors, and perceived susceptibility, perceived seriousness, and self-efficacy were determined with the Health Belief Model's constructs. Sociodemographic and anthropometric data, nutrition knowledge, and metabolic profiles were obtained. Results: The most common T2D risk factors were lack of physical activity (61.4%), decreased high-density lipoprotein cholesterol (HDL-c, 56.8%), high fasting blood glucose (FBG, 45.5%), family history of T2D (43.2%), increased body mass index (BMI, 36.4%), and high blood pressure (15.9%). A high proportion (70%) of participants with detected impaired FBG perceived they were at low risk of developing T2D. Participants with a family history of T2D (mean rank = 24.2) perceived the seriousness of T2D at a similar level as those without family history (mean rank = 21.2), with no significant difference (U = 205, P = 0.430). Nearly 30% of students did not feel confident they could prevent the development of T2D. Pearson's correlations revealed direct relationships between perceived risk of T2D and BMI (r = 0.49, P = 0.001), fat mass percent (r = 0.51, P < 0.001), and waist circumference (r = 0.42, P = 0.005), and an inverse relationship was found with HDL-c (r = − 0.41, P = 0.005). The association of perceived risk of T2D with a family history of T2D revealed a trend toward significance (Chi-squared = 5.746, P = 0.057), and the association of perceived risk of T2D with physical activity was not significant (Chi-squared = 1.520, P = 0.468). The nutrition knowledge score was 74.32 ± 15.97 (recommended is > 75). However, knowledge scores regarding recommended intake of fruits, vegetables, high sodium foods, and whole grains to prevent T2D were only 36.36%, 34.09%, 47.73%, and 63.6%, respectively. Conclusions: The discordance between college students' perceived risk and prevalence of T2D risk factors warrants strategies to address misperceptions of T2D risk and improve lifestyle behaviors among this study sample.
Background: Dietary diversity is generally considered as a good indicator of nutrient adequacy and is influenced by various factors at the national, household, and individual levels. Objective: The present study sought to determine the relationships between household food insecurity, primary caregivers’ nutrition knowledge, and dietary diversity of school-aged children in Ghana. Methods: This forms part of a longitudinal study conducted in the Ayawaso West Municipal district in Accra (urban setting) and the Upper Manya Krobo district (rural setting) in Ghana. Data were collected from a total of 116 caregiver-child dyads using 24-h dietary recall and a short version of the US 12-month Household Food Security Survey Module. Nutrition knowledge and sociodemographic data were obtained using a structured questionnaire. Multivariable logistic regression was used to check for factors associated with children’s dietary diversity. Results: Majority of households reported food insecurity, with a higher percentage of insecure households located in the rural area (88.9% vs. 46.5%, P ≤ 0.0001), compared to the urban setting. Diet diversity among the study children was low, with a mean (standard deviation [SD]) of 5.8 (2.1) out of 14 food groups. Children living in food insecure households were three times more likely to have received low diverse diet compared to those from food secure households (adjusted odds ratio [OR] =3.3, 95% confidence interval [CI]: 1.4–8.0). Caregivers’ nutrition knowledge was, however, not related to children’s dietary diversity. Discussion and conclusion: Household food insecurity was a main predictor of dietary diversity among school-age children in this study. Thus, caregiver knowledge in nutrition may not be enough, particularly in the presence of food insecurity to guarantee adequate nutrition for school-aged children.
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