The influence of gender and self-efficacy on healthy eating in a low-income urban population affected by structural changes to the food environment

A multi-country survey of the socio-demographic factors associated with adherence to COVID-19 preventive measures during the first wave of the COVID-19 pandemic

BACKGROUND

Health behaviours are influenced by individual characteristics including age, gender, education and economic level. This study aimed to assess the associations between individual-level determinants and adherence to COVID-19 preventive measures.

METHODS

We performed secondary analyses of international data collected using an online survey during the first wave of the COVID-19 pandemic between June and December 2020. The dependent variables were self-reported adherence to COVID-19 preventive measures (wearing of face masks, frequent washing/sanitizing of hands, physical distancing, working remotely). The independent variables were age, sex at birth (female vs male), having a chronic disease related elevated risk for severe COVID-19 (none/little, might be at increased risk, at increased risk), educational level completed (no formal education, primary, secondary vs college/university) and employment status (retiree, students, not employed vs employed). Four multivariate logistic regression analyses were conducted to determine the associations between the dependent variables and independent variables. Interaction terms with country-income level were tested in regressions to explore its moderating effect.

RESULTS

Out of 16,866 respondents, 12,634 (74.9%) wore masks or face coverings, 12,336 (73.1%) washed or sanitized their hands frequently, 11,464 (68.0%) reported adherence to physical distancing and 5,646 (33.5%) worked remotely. In adjusted analyses, increased age, college/university education, employment, and having risks for severe COVID-19 were associated with significantly higher odds of adhering to COVID-19 preventive measures. Retirees and students had lower odds of adhering to COVID-19 prevention measures than employed individuals. Males had significantly lower odds of wearing face masks (AOR: 0.901), frequent washing/sanitizing hands (AOR: 0.774) and working remotely (AOR: 0.875) compared to females. Country-income level generally moderated the above relationships such that the associations disappeared in lower income countries.

CONCLUSION

The study findings suggest that the individual socio-demographic factors-age, sex, employment status, education status and having a chronic disease - influence adherence to COVID-19 preventive measures. Findings further reiterate the need for health education and health promotion campaigns on preventive health measures to focus on subpopulations, such as younger males, students and retirees, that require targeted or unique messaging.

Sex Differences in Healthy Eating: Investigating the Moderating Effect of Self-Efficacy

OBJECTIVES

This study aimed to evaluate sex differences in dietary habits and the moderating effect of self-efficacy on the adoption of a healthy diet.

DESIGN

Cross-sectional study.

SETTING

The healthy population of Tehran, Iran.

PARTICIPANTS

A total of 262 participants from the general population with normal health status.

MAIN OUTCOME MEASURE

The adoption of a healthy diet was based on the Healthy Eating Index-2015 (HEI-2015) scores and the moderating effect of self-efficacy on eating behaviors.

ANALYSIS

Logistic regression analysis and multiple linear regression (moderation) analysis were conducted using PROCESS macro (version 3.5).

RESULTS

The sex-based analysis revealed that females were more likely to adopt a healthy diet vs males (adjusted odds ratio, 1.85; 95% confidence interval, 1.02-3.35). The moderation analysis showed that eating behavior self-efficacy significantly moderated the relationship between sex differences and HEI-2015 scores (ΔR² = 0.01; P = 0.033). Males with low self-efficacy scores had the highest difference in HEI-2015 with females with low self-efficacy scores, whereas the difference in HEI-2015 was very small in males and females with high self-efficacy scores.

CONCLUSIONS AND IMPLICATIONS

Eating behavior self-efficacy had a significantly decreasing moderating effect on sex differences in the adoption of a healthy diet. Future research needs to clarify the impact of eating`` behavior self-efficacy in the adoption of a healthy diet, particularly in males, and to confirm the study's findings.

Influence of a Nutrigenetic Intervention on Self-Efficacy, Emotions, and Rewarding Behaviors in Unhealthy Eating among Mexicans: An Exploratory Pilot Study

The Genome-based Mexican (GENOMEX) diet is a strategy for preventing and managing obesity. Emotion and eating behavior in the context of a nutrigenetic intervention have not been thoroughly studied. We aimed to explore the influence of the GENOMEX diet on emotions, self-efficacy, and rewarding behaviors in unhealthy eating among subjects with risk factors for obesity-related chronic diseases. Twenty-eight subjects included in the six-month GENOMEX intervention answered questions regarding emotions that influence food consumption. Additionally, the Patient Health Questionnaire (PHQ-9) and the Reward-based eating drive scale (RED) were applied. In the study, minimal, mild, moderate, and severe depression were present in 46.4%, 39.3%, 10.7%, and 3.6%, respectively. RED did not change, but it correlated with a higher intake of fats (r² = 0.684, β = 2.066, p = 0.003). Mood influenced unhealthy eating in 71.7% of subjects, and 76.9% experienced binge episodes triggered by anxiety. Sugars were the most consumed foods during binge episodes (42.2%). Both low self-efficacy levels and binge episodes were associated with high consumption of unhealthy foods. After the intervention, 10.7% of subjects reported a high level of self-efficacy. In conclusion, a culturally acceptable and genetically compatible regional Mexican food diet reduced negative emotions and unhealthy eating while increasing self-efficacy.

Health Disparities in Calorie Knowledge and Confidence Among the U.S. Adult Population

Purpose

Obesity prevalence has reached an all-time high in the US, affecting >40% of the population. This study’s objective was to evaluate associations between demographics and self-reported calorie knowledge and self-perceived confidence in calorie knowledge (“calorie confidence”). The relationships between body mass index (BMI) and calorie knowledge and confidence were also explored.

Methods

We analyzed data from participants (n = 2171) in the crosssectional, nationally representative 2019 FDA Food Safety and Nutrition Survey using logistic regression to estimate adjusted odds ratios (AORs) and confidence intervals (95% CIs) for associations between BMI and calorie knowledge (correct/incorrect), calorie confidence (confident/not confident), and demographic characteristics, and the Wald chi square test to evaluate relationships between BMI and both calorie knowledge and confidence.

Results

Many of the same subgroups were more likely than others to report lack of calorie knowledge and lack of confidence in knowing the typical daily calorie intake needed to maintain a healthy weight [respective AORs (95% CIs): age (years), >60 vs 51-60, 1.7 (1.1-2.5), and 1.4 (1.0-2.0); sex, male vs female, 1.7 (1.3-2.3), and 1.7 (1.3-2.1); race/ethnicity, non-Hispanic Black vs non-Hispanic white, 3.4 (2.1-5.5), and 2.4 (1.6-3.8); education, ≤high school vs college grad, 1.5 (1.0- 2.3), and 1.9 (1.3-2.7)]. BMI was significantly correlated with calorie confidence (P = .047), such that those reporting less confidence were more likely overweight or obese [underweight/healthy (BMI < 25): 29%, overweight (25 ≤ BMI < 30): 34%, obese (BMI ≥ 30): 37%].

Conclusion

In certain demographic subgroups associations between calorie knowledge and confidence differed. Tailored education and outreach for these groups may help to address these disparities.

Varying levels of depressive symptoms and lifestyle health behaviors in a low income, urban population

This study examined the relationships between varying levels of depressive symptoms and key dietary indicators of chronic disease risk, sugar-sweetened beverage (SSB) and fruit and vegetable (F + V) consumption, among a racially/ethnically diverse urban population in Los Angeles County (LAC). Analyses were carried out using data from a 2012 cross-sectional health survey of 1401 low-income public health center clients. Participants with a high level of depressive symptoms consumed 30% more SSBs (IRR = 1.30, 95% CI = 1.08, 1.55) than participants with a lower level of these symptoms. Other predictors of higher SSB consumption included being African American/Black (IRR = 1.65, 95% CI = 1.32, 2.05), male (IRR = 1.20, 95% CI = 1.06, 1.35), U.S. born (IRR = 1.32, 95% CI = 1.11, 1.57), and using tobacco (IRR = 1.26, 95% CI = 1.11, 1.43). Similar associations with F + V consumption were not found. Findings suggest that depressive symptoms may influence certain health behaviors in certain groups under certain situations. Policy and practice implications are discussed within this context.

An Examination of Demographic and Psychosocial Factors, Barriers to Healthy Eating, and Diet Quality Among African American Adults

A healthy diet is associated with lower risk of chronic disease. African Americans generally have poor diet quality and experience a higher burden of many chronic diseases. We examined the associations of demographic and psychosocial factors and barriers to diet quality among African American adults. This cross-sectional study included 100 African American adults in a southeastern metropolitan area. Psychosocial factors (social support, self-efficacy), and barriers to healthy eating were assessed with validated measures. Diet quality was assessed using the Healthy Eating Index (HEI-2010). Nested linear regressions were used to examine the association between the variables of interest and HEI scores. Participants reported having social support (M (mean) = 2.0, SD (standard deviation) = 0.6, range 0⁻3), high levels of self-efficacy (M = 3.1, SD = 0.7, range 1⁻4), and low barriers (M = 1.4, SD = 0.6, range 0⁻4) to engage in healthy eating but total mean HEI scores needed improvement (M = 54.8, SD = 10.9, range 27.1⁻70.0). Participants consumed significantly higher empty calories and lower whole fruits, dairy, and total protein foods than the national average. Barriers to healthy eating (b = -12.13, p = 0.01) and the interaction between age and barriers (b = 0.25, p = 0.02) were most strongly associated with lower HEI scores. Younger African Americans with the highest barriers to healthy eating had the lowest HEI scores. Culturally appropriate interventions targeting empty calories, barriers to healthy eating, and knowledge of the Dietary Guidelines for Americans are needed for African Americans.

Predictors of public support for nutrition-focused policy, systems and environmental change strategies in Los Angeles County, 2013

BACKGROUND

Since 2010, federal and local agencies have invested broadly in a variety of nutrition-focused policy, systems and environmental change (PSE) initiatives in Los Angeles County (LAC). To date, little is known about whether the public supports such efforts. We address this gap in the literature by examining predictors of support for a variety of PSEs.

METHODS

Voters residing in LAC (n=1007) were randomly selected to participate in a cross-sectional telephone survey commissioned by the LAC Department of Public Health. The survey asked questions about attitudes towards the obesity epidemic, nutrition knowledge and behaviours, public opinions about changing business practices/government policies related to nutrition, and sociodemographics. A factor analysis informed outcome variable selection (ie, type of PSEs). Multivariable regression analyses were performed to examine predictors of public support. Predictors in the regression models included (primary regressor) community economic hardship; (control variables) political affiliation, sex, age, race and income; and (independent variables) perceptions about obesity, perceived health and weight status, frequency reading nutrition labels, ease of finding healthy and unhealthy foods, and food consumption behaviours (ie, fruit and vegetables, non-diet soda, fast-food and sit-down restaurant meals).

RESULTS

3 types of PSE outcome variables were identified: promotional/incentivising, limiting/restrictive and business practices. Community economic hardship was not found to be a significant predictor of public support for any of the 3 PSE types. However, Republican party affiliation, being female and perceiving obesity as a serious health problem were.

CONCLUSIONS

These findings have implications for public health practice and community planning in local health jurisdictions.

Development and validation of the Eating Maturity Questionnaire: Preliminary findings

This article describes the development of the Eating Maturity Questionnaire, a self-reported measurement of eating maturity that initiates and gives direction to human eating behaviors. The Eating Maturity Questionnaire was designed to study individuals’ biological and psychosocial motives for eating. The Eating Maturity Questionnaire is a 21-item tool with satisfactory psychometric values (Cronbach’s α coefficients between 0.83 and 0.88) consisting of two subscales: Rational Eating and Psychosocial Maturity. Eating Maturity Questionnaire results may be used to design programs that target eating behaviors and body mass modification.

Personalized Weight Management Interventions for Cardiovascular Risk Reduction: A Viable Option for African-American Women

Obesity is an independent contributor to cardiovascular disease (CVD) and a major driving force behind racial/ethnic and gender disparities in risk. Due to a multitude of interrelating factors (i.e., personal, social, cultural, economic and environmental), African-American (AA) women are disproportionately obese and twice as likely to succumb to CVD, yet they are significantly underrepresented in behavioral weight management interventions. In this selective review we highlight components of the limited interventions shown to enhance weight loss outcomes in this population and make a case for leveraging Web-based technology and artificial intelligence techniques to deliver personalized programs aimed at obesity treatment and CVD risk reduction. Although many of the approaches discussed are generally applicable across populations burdened by disparate rates of obesity and CVD, we specifically focus on AA women due to the disproportionate impact of these non-communicable diseases and the general paucity of interventions targeted to this high-risk group.

Dissemination, Implementation, and Improvement Science Research in Population Health: Opportunities for Public Health and CTSAs

IMPORTANCE

The complex, dynamic nature of health systems requires dissemination, implementation, and improvement (DII) sciences to effectively translate emerging knowledge into practice. Although they hold great promise for informing multisector policies and system-level changes, these methods are often not strategically used by public health.

OBJECTIVES AND METHODS

More than 120 stakeholders from Southern California, including the community, federal and local government, university, and health services were convened to identify key priorities and opportunities for public health departments and Clinical and Translational Science Awards programs (CTSAs) to advance DII sciences in population health.

MAIN OUTCOMES

Participants identified challenges (mismatch of practice realities with narrowly focused research questions; lack of iterative learning) and solutions (using methods that fit the dynamic nature of the real world; aligning theories of change across sectors) for applying DII science research to public health problems. Pragmatic steps that public health and CTSAs can take to facilitate DII science research include: employing appropriate study designs; training scientists and practicing professionals in these methods; securing resources to advance this work; and supporting team science to solve complex-systems issues.

CONCLUSIONS

Public health and CTSAs represent a unique model of practice for advancing DII research in population health. The partnership can inform policy and program development in local communities.

Personal health technology: A new era in cardiovascular disease prevention

Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide yet the majority of related risk factors are largely preventable (primary prevention [PP]) and effectively treatable (secondary prevention [SP]) with healthy lifestyle behaviors. The use of information and communication technology (ICT) offers a unique approach to personal health and CVD prevention, as these mediums are relatively affordable, approachable, and accessible. The purpose of this review is to provide an overview of ICT-driven personal health technologies and their potential role in promoting and supporting self-care behaviors for PP and SP of CVD. In this review, we focus on technological interventions that have been successful at supporting positive behavior change in order to determine which tools, resources, and methods are most appropriate for delivering interventions geared towards CVD prevention. We conducted a literature search from a range of sources including scholarly, peer-reviewed journal articles indexed in PubMed and CINAHL, gray literature, and reputable websites and other Internet-based media. A synthesis of existing literature indicates that the overall efficacy of ICT-driven personal health technologies is largely determined by: 1) the educational resources provided and the extent to which the relayed information is customized or individually tailored; and 2) the degree of self-monitoring and levels of personalized feedback or other interactions (e.g. interpersonal communications). We conclude that virtually all the technological tools and resources identified (e.g. Internet-based communications including websites, weblogs and wikis, mobile devices and applications, social media, and wearable monitors) can be strategically leveraged to enhance self-care behaviors for CVD risk reduction and SP but further research is needed to evaluate their efficacy, cost-effectiveness, and long-term maintainability.

Measuring and monitoring progress toward health equity: local challenges for public health

To address health disparities, local health departments need high-resolution data on subpopulations and geographic regions, but the quality and availability of these data are often suboptimal. The Boston Public Health Commission and the Los Angeles County Department of Public Health faced challenges in acquiring and using community-level data essential for the design and implementation of programs that can improve the health of those who have social or economic disadvantages. To overcome these challenges, both agencies used practical and innovative strategies for data management and analysis, including augmentation of existing population surveys, the use of combined data sets, and the generation of small-area estimates. These and other strategies show how community-level health data can be analyzed, expanded, and integrated into existing public health surveillance and program infrastructure to inform jurisdictional planning and tailoring of interventions aimed at achieving optimal health for all members of a community.