Patterns of health behavior in U.S. adults

Gender-Specific Clustering of Lifestyle Behaviors and Its Impacts on Cardiovascular Health

BACKGROUND

Unhealthy lifestyle behaviors associated with cardiovascular risk manifest a clustering pattern.

OBJECTIVE

Our aim was to identify behavioral clusters by using 5 unhealthy lifestyle behaviors among the Korean population and examine the impacts of identified behavioral clusters on cardiovascular health (CVH).

METHODS

A cross-sectional study was conducted using data from the sixth Korea National Health and Nutrition Examination Survey. The participants were 7898, aged 19 to 64 years. The cluster analysis was performed using the behaviors of current smoking, binge drinking, physical inactivity, insufficient fruit intake, and sugar-sweetened beverage drinking. Cardiovascular health was defined as a composite modified z score calculated using biophysical factors.

RESULTS

Men manifested 4 clusters (ie, risky binge drinkers, dominant smokers, dominant sugar-sweetened beverage drinkers, and nonsubstance/low-fruit eaters) characterized predominantly by substance use; women had 4 clusters (ie, substance users, physically inactive/low-fruit eaters, physically inactive/fruit eaters, and active adherers) characterized predominantly by physical inactivity. Among men, the clusters of dominant smokers and risky binge drinkers had significantly lower CVH scores than those with poor eating behaviors. Among women, the clusters of substance users and physically inactive/low-fruit eaters had significantly lower CVH scores than the active adherers. All the clusters in men had lower CVH scores than the worst cluster in women.

CONCLUSIONS

There was a gender difference in the clustering pattern. The clusters with smoking and binge drinking in men and women were associated with negative impacts on CVH. Healthcare professionals should pay attention to the clustering pattern to design an efficient lifestyle intervention for cardiovascular disease prevention.

Let's Enjoy an Evening on the Couch? A Daily Life Investigation of Shared Problematic Behaviors in Three Couple Studies

Symptom-system fit theory proposes that problematic behaviors are maintained by the social system (e.g., the couple relationship) in which they occur because they help promote positive relationship functioning in the short-term. Across three daily life studies, we examined whether mixed-gender couples reported more positive relationship functioning on days in which they engaged in more shared problematic behaviors. In two studies (Study 1: 82 couples who smoke; Study 2: 117 couples who are inactive), days of more shared problematic behavior were accompanied by higher daily closeness and relationship satisfaction. A third study with 79 couples post-stroke investigating unhealthy eating failed to provide evidence for symptom-system fit. In exploratory lagged analyses, we found more support for prior-day problematic behavior being associated with next-day daily relationship functioning than vice-versa. Together, findings point to the importance of a systems perspective when studying interpersonal dynamics that might be involved in the maintenance of problematic behaviors.

Equity in Digital Health: Assessing Access and Utilization of Remote Patient Monitoring, Medical Apps, and Wearables in Underserved Communities

This study examined access to, and use of remote patient monitoring (RPM), medical applications, and wearables in a racially diverse, lower-income population. Data were obtained via a cross-sectional survey of adults from low-income communities in Houston, Los Angeles, and New York between April and August 2023. The survey examined access to, and use of RPM, medical applications, and wearables, among respondents. Binary responses to the following questions were examined using logistic regression models: In the past 12 months, have you (i) used RPM, (ii) used a medical app, and (iii) used an electronic wearable device to monitor or track health or activity? A total of 305 surveys were returned, of which 212 were complete (69.5% completion rate). Demographically, 22% self-identified as Hispanic, 41% as non-Hispanic Black individuals, and 33% as non-Hispanic White individuals. Overall, 69% of respondents reported a pre-tax annual household income of less than $35 000 and 96% indicated they own a smart phone. However, only 3 of 10 reported using RPM, 15% reported using a medical app, and 14% reported using wearables. Race was strongly associated with RPM usage, with Black respondents significantly less likely to have used RPM, compared to their white counterparts (OR: 0.31, P = .002). Education (bachelor's degree or more OR: 4.79, P = .03) and higher income ($35 001 + OR: 4.68, P = .008) were strongly associated with medical app usage. In the wearables model, the same trend was observed with education (bachelor's degree or more OR: 4.45, P = .04), and higher income ($35 001 + OR: 5.49, P = .01). Compared to earlier studies that have reported utilization rates of between 50% and 60%, our finding of much lower utilization in economically disadvantaged populations that are at greater risks for sub-optimal health outcomes gives cause for greater concern. Considering the ongoing proliferation of digital health technological modalities, this further highlights the need to explore and address equity-based barriers to these health tools.

Examining outpatients' hand hygiene behaviour and its relation to COVID-19 infection prevention measures

BACKGROUND

The increasing demand for outpatient care is associated with a higher risk of infection transmission in these settings. However, there is limited research on infection prevention and control practices in ambulatory clinics, and none focuses on patients.

AIM

To examine outpatients' hand hygiene behaviours, their determinants, and their associations with other infection prevention measures during the COVID-19 pandemic.

METHODS

We observed the hand hygiene behaviour of one cohort of patients in one outpatient clinic and surveyed a separate sample in five clinics about their hand hygiene practice in outpatient facilities. A questionnaire based on the Theoretical Domains Framework (TDF) was used to examine predictors of the behaviour. Moreover, patients indicated their compliance with COVID-19 infection prevention measures, vaccination status, disease risk perception, and vaccine hesitancy.

FINDINGS

Observed hand hygiene rates among 618 patients were low (12.8%), while 67.3% of the 300 surveyed patients indicated sanitizing their hands upon entering the clinic. The TDF domains 'memory, attention, and decision processes' and 'emotions' significantly predicted both current (today's) and general hand hygiene behaviour in outpatient clinics. Hand hygiene behaviour and compliance with COVID-19 infection prevention showed a positive association; however, no significant connection was found with patients' vaccination status, suggesting different behavioural motivators.

CONCLUSION

Hand hygiene among outpatients should be improved through interventions focusing on helping patients remember to clean their hands. More research on infection prevention in outpatient facilities is needed to ensure patient safety.

Understanding Factors Contributing to Vaccine Hesitancy in a Large Metropolitan Area

Vaccine hesitancy has become a major global concern, leading to a significant decrease in the vaccination rate, with the World Health Organization recognizing it as one of the top ten threats to public health. Moreover, the health cost generated is evaluated to be 27 billion dollars per year in the US alone. To investigate the association between demographic variables and knowledge, attitudes, and behaviours related to vaccination, a survey-based cross-sectional study was conducted with 1163 individuals. Three models were used to perform a multiple linear regression analysis. In Model I, knowledge about vaccinations was found to be associated with smoking habits, education, and marital status. In Model II, attitudes towards vaccinations were significantly associated with sex, smoking habits, education, marital status, and knowledge. In Model III, behaviours related to vaccination were associated with sex, smoking habits, having children, knowledge, and attitudes. One potential solution to improve behaviours related to vaccinations in the general population is to implement specific public health programs, which can be a cost-effective intervention. This study provides valuable insights into the determinants of knowledge, attitudes, and behaviours related to vaccinations in the general population.

A Mediterranean Dietary Pattern Is Associated with Greater Participation in Physical Activity and Better Health-Related Quality of Life among Students and Professors at the Melilla Campus (University of Granada)

The objective of this study was to assess Mediterranean diet (MD) scores (i.e., alignment with a MD pattern) among students and professors, in addition to assessing how adherence to the MD was associated with other lifestyle behaviors. A cross-sectional observational study was conducted with a sample of 127 university professors and 272 students of the Melilla Campus at the University of Granada (Spain). Students were more physically active than professors (mean difference = 1058 METs, p < 0.001) and reported lower negative affect (NA; mean difference = -1.70, p < 0.001) whereas professors reported nominally better perceived mental health. For the total sample, the physical health component (β = 0.03, p = 0.03) and physical activity (β = 0.0001, p = 0.01) were significantly associated with higher MD scores. Health behaviors, including MD scores and physical activity, were suboptimal among both students and professors. The results suggest that a dietary pattern reflective of the MD is positively associated with both physical and mental health outcomes among students and professors, though the direction of the associations remains to be clarified.

Sun-protective behaviors and sunburn among US adults

Individuals can reduce the risk of developing skin cancer by minimizing ultraviolet sunlight exposure, though recent trends in sun-protective behaviors remain to be investigated. To evaluate sun-protective behaviors and sunburn among US adults. We analyzed data from the 2010, 2015, and 2020 National Health Interview Survey (NHIS), an annual, cross-sectional survey conducted by the US Census Bureau. Multivariable regression models were stratified by demographic variables and constructed to evaluate sun-protective behaviors and sunburn avoidance across time. From 2010 through 2020, US adults had significantly increased prevalence of seeking shade (p value, 0.003), wearing wide-brimmed hats (< 0.001), wearing long-sleeved shirts (< 0.001), using sunscreen (< 0.001), and avoiding sunburns (< 0.001) and significantly decreased prevalence of sun avoidance (< 0.001). Disparities in sun-protective behaviors also exist among different sexes, ages, education levels, and those reporting higher sun sensitivity. This cross-sectional study found that by 2020, US adults had an increased prevalence of wearing sun-protective clothing and sunscreen use, though decreased prevalence of sun avoidance. Although certain sun-protective behaviors have become more prevalent, the incidence of skin cancer continues to rise. Efforts to understand drivers of sun-protective behaviors and targeted intervention efforts are needed.

Trends in Self-Reported Adherence to Healthy Lifestyle Behaviors Among US Adults, 1999 to March 2020

Importance

Adherence to a healthy lifestyle is associated with lower risks of adverse outcomes. However, trends in multiple lifestyle factors and overall healthy lifestyle status among US adults in recent years are unknown.

Objective

To examine trends in multiple lifestyle factors and overall healthy lifestyle among US adults.

Design, Setting, and Participants

This serial cross-sectional study used nationally representative data from 10 National Health and Nutrition Examination Survey (NHANES) cycles (nine 2-year cycles from 1999 to 2016 and 1 combined cycle from 2017 to March 2020) among adults 20 years or older. Data were analyzed from December 10, 2021, to January 11, 2023.

Exposure

Survey cycle.

Main Outcomes and Measures

Five healthy lifestyle factors: never smoking, moderate or lighter alcohol consumption (for women: ≤7 drinks/wk; for men: ≤14 drinks/wk), healthy diet (Healthy Eating Index-2015 scores ≥60.0), sufficient physical activity (≥150 min/wk of equivalent moderate physical activity), and healthy weight (body mass index [calculated as weight in kilograms divided by height in meters squared] 18.5-24.9).

Results

A total of 47 852 adults were included in this study. The weighted mean [SE] age was 47.3 [0.2] years; 24 539 (weighted proportion, 51.5%) were women. From the 1999-2000 cycle to the 2017 to March 2020 cycle, the estimated prevalence of the 5 lifestyle factors showed divergent trends, with increasing prevalence of never smoking (from 49.4% [95% CI, 46.4%-52.4%] to 57.7% [95% CI, 55.5%-59.9%]; difference, 8.2% [95% CI, 4.5%-12.0%]), healthy diet (from 19.3% [95% CI, 16.0%-22.6%] to 24.5% [95% CI, 21.5%-27.5%]; difference, 5.2% [95% CI, 0.8%-9.7%]), and sufficient physical activity (from 55.7% [95% CI, 51.8%-59.6%] to 69.1% [95% CI, 67.2%-71.1%]; difference, 13.4% [95% CI, 9.0%-17.8%]), while prevalence of healthy weight decreased from 33.1% (95% CI, 30.5%-35.6%) to 24.6% (95% CI, 22.6%-26.7%; difference, -8.4% [95% CI, -11.8% to -5.1%]) (all P < .001 for trend). Meanwhile, there was no significant trend in moderate or lighter alcohol consumption. Overall, the estimated prevalence of at least 4 healthy lifestyle factors increased from 15.7% (95% CI, 12.8%-18.7%) to 20.3% (95% CI, 17.8%-22.7%; difference, 4.5% [95% CI, 0.7%-8.4%]; P < .001 for trend). Disparities in healthy lifestyle were widened by age group, with little improvement among adults 65 years and older (difference, 0.04% [95% CI, -4.28% to 4.35%]). There were persistent disparities in healthy lifestyle by race and ethnicity, educational level, and income level.

Conclusions and Relevance

The findings of this cross-sectional study of NHANES data over a 22-year period suggest diverse change patterns across 5 healthy lifestyle factors and a modest improvement in overall lifestyle existed among US adults, with worsening or persistent disparities in lifestyle.

Beating trauma: Physical activity to promote resilience against substance use

BACKGROUND

The relationship between adverse childhood experiences (ACEs) and frequent substance use (SU) is not well understood, impeding prevention efforts.

METHODS

We assessed the relationship between ACEs and frequent SU and investigated if different modalities of physical activity (PA) moderate this pathway. The analysis included persons enrolled in the National Longitudinal Study of Adolescent to Adult Health who responded to surveys at Waves I (11-20 years), III (18-27 years), and IV (24-33 years). The impacts of cumulative ACEs and PA modalities on daily cigarette smoking, daily cannabis use, and binge drinking ≥ 3 times a week in emerging and early adulthood were assessed through adjusted logistic regression models.

RESULTS

Among the sample (N=9451), 29.3%, 12.5%, and 7.8% experienced 1, 2, or 3 or more ACEs, respectively. With exception to binge drinking, cumulative ACEs (3+) were strongly associated with daily cannabis use in Wave III (aOR: 2.5; 95% CI: 1.6-3.6) and Wave IV (aOR: 2.1; 95% CI:1.3-3.3) and daily cigarette smoking in Wave III (aOR: 2.4; 95% CI: 1.9-3.0) and Wave IV (aOR: 2.3; 95% CI: 1.8-2.8). No PA modality moderated the ACEs to SU pathway; however, walking for exercise lowered the odds of current and prospective daily cannabis and cigarette use by 20-40%. Strength training, team sports, and individual sport participation were associated with 20-30% reduced risks of future daily cigarette use.

CONCLUSION

The impacts of ACEs exposure on frequent SU persist into emerging and early adulthood. Future research should investigate the potential of PA to improve SU prevention strategies.

Clustering of lifestyle and health behaviours in Australian adolescents and associations with obesity, self-rated health and quality of life

OBJECTIVE

The primary aim of this study was to identify clusters of lifestyle and health behaviours and explore their associations with health outcomes in a nationally representative sample of Australian adolescents.

METHODS

The study participants were 3127 adolescents aged 14-15 years who participated in the eighth wave of the birth cohort of the Longitudinal Study of Australian Children (LSAC). A latent class analysis (LCA) was performed to identify clusters based on the behaviours of physical activity, alcohol consumption, smoking, diet, eating disorders, sleep problems and weight consciousness. Multinomial logistic regression models were fitted to the following health outcome variables: obesity, self-rated general health and pediatric health-related quality of life, to investigate their associations with LCA clusters.

RESULTS

Based on the prevalence of health behaviour related characteristics, LCA identified gender based distinct clusters of adolescents with certain outward characteristics. There were five clusters for male and four clusters for female participants which are named as: healthy lifestyle, temperate, mixed lifestyle, multiple risk factors, and physically inactive (male only). Adolescents in the healthy lifestyle and temperate clusters reported low and moderately active health risk behaviours, for example, low physical activity, inadequate sleep and so on, while these behaviours were prevailing higher among adolescents of other clusters. Compared to adolescents of healthy lifestyle clusters, male members of physically inactive (OR = 3.87, 95% CI: 1.12 - 13.33) or mixed lifestyle (OR = 5.57, 95% CI: 3.15 - 9.84) clusters were over three to five times more likely to have obesity; while for female adolescents, members of only multiple risk factors clusters (OR = 3.61, 95% CI: 2.00 - 6.51) were over three time more likely to have obesity compared to their counterpart of healthy lifestyle clusters. Adolescents of physically inactive (b = -9.00 for male only), mixed lifestyle (b = -2.77 for male; b = -6.72 for female) or multiple risk factors clusters (b = -6.49 for male; b = -6.59 for female) had a stronger negative association with health-related quality of life scores compared to adolescents of healthy lifestyle clusters.

CONCLUSION

The study offers novel insights into latent class classification through the utilisation of different lifestyles and health-related behaviours of adolescents to identify characteristics of vulnerable groups concerning obesity, general health status and quality of life. This classification strategy may help health policy makers to target vulnerable groups and develop appropriate interventions.

Utilization of nutrition labels and related factors among patients with diabetes in Korea

BACKGROUND/OBJECTIVES

The prevalence of diabetes has continued to increase globally. Changes in eating habits, lack of exercise, increased stress, and aging are major contributors. Glycemic control is the key strategy of diabetes management. The purpose of this study was to analyze the utilization of nutrition labels and related factors among patients with diabetes.

MATERIALS/METHODS

Data from the 7th Korea National Health and Nutrition Examination Survey were used. General, health-related, diabetes-related characteristics from 1,587 adults with diabetes history were included. Nutrition label utilization was assessed with awareness and use of nutrition labels and effects on food choice. For statistical analyses, chi-square test and multiple logistic regression analysis were performed.

RESULTS

The prevalence of awareness, use, and effects of nutrition labels on food choice among diabetic patients were 48.8%, 11.4%, and 9.6%, respectively. High monthly income, walking frequency, family history of diabetes, younger age at diagnosis, and shorter duration of diabetes were associated with higher nutrition label awareness. Nutrition label use and effect on food choice were higher in women, those with high monthly income, those diagnosed at younger than 45 yrs, those with diabetes for less than 10 yrs, those with meal therapy, or patients who had undergone a fundus examination.

CONCLUSIONS

Nutrition label utilization status was low in Korean patients with diabetes. Strategies are needed to promote nutrition label use as a diet management tool for patients with diabetes.

Association between sociodemographic determinants and health behaviors, and clustering of health risk behaviors among 28,047 adults: a cross-sectional study among adults from the general Norwegian population

BACKGROUND

Understanding the associations between health behaviors and which subgroups are at risk of developing health risk behaviors is vital knowledge to develop effective public health interventions to reduce the high prevalence of non-communicable diseases (NCDs). The objective of the study was to assess the association between physical activity, diet, tobacco use, and alcohol consumption and sociodemographic determinants (sex and education), and to examine clustering patterns of these health behaviors.

METHOD

Data was collected from an online self-reported questionnaire from the Norwegian public health survey conducted in 2019. The study sample consisted of 28,047 adults (≥ 18 years old) from Agder county in Southern Norway. Chi-square tests and logistic regression analysis were used to determine the association between sex and education according to physical activity, diet, tobacco use and alcohol consumption. Linear regression was used to examine the association between educational level and number of health risk behaviors, and cluster analysis were performed to determine cluster patterns.

RESULTS

Females were more likely than men to meet the national public health recommendations for diet (p < 0.001), tobacco use (p < 0.01), and alcohol consumption (p < 0.001). High education was associated with meeting the recommendations for each of the four health behaviors and with a lower risk of having three or four health risk behaviors simultaneously. Furthermore, clustering of health risk behaviors was observed in five of the sixteen health behavior patterns.

CONCLUSION

Our findings show a higher risk of having multiple health risk behaviors for males and individuals with low education, and these subgroup findings could inform public health policy and be target goals in future public health interventions. Clustering patterns were observed in over 30% of the health behavior patterns. More research is needed on the causal relationship between health behaviors and socioeconomic factors, and the association between clustering and health outcomes to design effective interventions in the future.

Reported Mental Health, Diet, and Physical Activity in Young Adult Cancer Survivors

Young adult (YA) cancer survivors are at increased risk for chronic diseases and face age-dependent stressors that may hinder their ability to maintain healthy lifestyle behaviors. This study examined associations between reported mental health, eating beliefs, and health behaviors in YA cancer survivors. YA cancer survivors aged 18-39 years (n = 225) completed a self-administered REDCap^® survey, including the Perceived Stress Scale 10, PROMIS^® Anxiety and Depression, Eating Beliefs Questionnaire, National Health and Nutrition Examination Survey Dietary Screener Questionnaire, Godin-Shephard Leisure-Time Physical Activity Questionnaire, and demographic and diagnosis-related questions. Descriptive statistics, bivariate analyses, and multiple linear regression were performed. Participants were mean 31.3 years old and 3.7 years post-treatment; 77.3% were women. Most participants reported White (78%) or Black or African American (11.2%) race and non-Hispanic ethnicity (84%). Adjusting for covariates, perceived stress, anxiety, and depression were associated with increased added sugar intake (p < 0.001) and eating beliefs (p < 0.001). Perceived stress and depression were associated with reduced vegetable intake (p < 0.05). There were no associations with fruit intake or physical activity in the adjusted models. Health behavior interventions for this population may address psychosocial needs by including a stress management or mind-body component. Further research including direct measures of health behaviors is warranted.

The relationship between substance use and physical activity among people living with HIV, chronic pain, and symptoms of depression: a cross-sectional analysis

ABSTRACTChronic pain, depression, and substance use are common among people living with HIV (PLWH). Physical activity can improve pain and mental health. Some substances such as cannabis may alleviate pain, which may allow PLWH to participate in more physical activity. However, risks of substance use include poorer mental health and HIV clinical outcomes. This cross-sectional analysis examined the relationships of self-reported substance use (alcohol, cannabis, and nicotine use), gender, and age with self-reports of walking, moderate physical activity, and vigorous physical activity, converted to Metabolic Equivalent of Task Units (METs), among 187 adults living with HIV, chronic pain, and depressive symptoms in the United States. Women reported less walking, vigorous activity, and total physical activity compared to men. Individuals who used cannabis reported more vigorous physical activity relative to those who did not use cannabis. These findings were partially accounted for by substance use*gender interactions: men using cannabis reported more vigorous activity than all other groups, and women with alcohol use reported less walking than men with and without alcohol use. Research is needed to increase physical activity among women who use substances and to evaluate reasons for the relationship between substance use and physical activity among men.

Factors associated with long-term use of digital devices in the electronic Framingham Heart Study

Long-term use of digital devices is critical for successful clinical or research use, but digital health studies are challenged by a rapid drop-off in participation. A nested e-cohort (eFHS) is embedded in the Framingham Heart Study and uses three system components: a new smartphone app, a digital blood pressure (BP) cuff, and a smartwatch. This study aims to identify factors associated with the use of individual eFHS system components over 1-year. Among 1948 eFHS enrollees, we examine participants who returned surveys within 90 days (n = 1918), and those who chose to use the smartwatch (n = 1243) and BP cuff (n = 1115). For each component, we investigate the same set of candidate predictors for usage and use generalized linear mixed models to select predictors (P < 0.1, P value from Z test statistic), adjusting for age, sex, and time (app use: 3-month period, device use: weekly). A multivariable model with the predictors selected from initial testing is used to identify factors associated with use of components (P < 0.05, P value from Z test statistic) adjusting for age, sex, and time. In multivariable models, older age is associated with higher use of all system components. Female sex and higher education levels are associated with higher completion of app-based surveys whereas higher scores for depressive symptoms, and lower than excellent self-rated health are associated with lower use of the smartwatch over the 12-month follow-up. Our findings show that sociodemographic and health related factors are significantly associated with long-term use of digital devices. Future research is needed to test interventional strategies focusing on these factors to evaluate improvement in long-term engagement.

Gender differences in the association between lifestyle behaviors and mental health among psychiatrists in China

INTRODUCTION

Mental health symptoms are common among health professionals and the influence of lifestyle behaviors on psychiatrists' mental health is insufficiently understood. Based on a nationwide sample, we aimed to survey the lifestyle behaviors and mental health status among psychiatrists, and to identify the co-occurrence and gender differences in lifestyle behaviors.

METHODS

Data were collected through an anonymous questionnaire among psychiatrists in China. Depression, Anxiety and Stress Scale - 21 (DASS-21) was used to evaluate mental health symptoms. Latent class analysis (LCA) was used to explore the co-occurrence of lifestyle behaviors. The multivariate logistic regression model was used to examine the effects of demographic and lifestyle factors.

RESULTS

4520 psychiatrists were included in the analysis with 11.5 % of them reporting smoking, 10 % reporting alcohol misuse, 35.2 % reporting physical inactivity, and 23.1 % reporting insomnia. The prevalence of depression, anxiety and stress symptoms were 29.2 %, 34.5 %, and 12.2 %, respectively. Significant gender differences were found in smoking (P < 0.001), alcohol misuse (P < 0.001), and physical inactivity (P < 0.001), but not in insomnia. Based on these four high-risk health behaviors above, three lifestyle behavior clusters with huge gender differences were identified through the LCA. Accordingly, the unhealthy lifestyle classes, though defined differently for males and females, were significantly associated with depression, anxiety, and stress.

CONCLUSIONS

The co-occurrence and significant gender differences in multiple lifestyle behaviors exist in this group, highlighting the need for gender-specific comprehensive interventions against mental health symptoms and the urgency of promoting their well-being.

Associations Between Conventional Healthy Behaviors and Social Distancing During the COVID-19 Pandemic: Evidence From the 2020 Community Health Survey in Korea

OBJECTIVES

Many studies have shown that social distancing, as a non-pharmaceutical intervention (NPI) that is one of the various measures against coronavirus disease 2019 (COVID-19), is an effective preventive measure to suppress the spread of infectious diseases. This study explored the relationships between traditional health-related behaviors in Korea and social distancing practices during the COVID-19 pandemic.

METHODS

Data were obtained from the 2020 Community Health Survey conducted by the Korea Disease Control and Prevention Agency (n=98 149). The dependent variable was the degree of social distancing practice to cope with the COVID-19 epidemic. Independent variables included health-risk behaviors and health-promoting behaviors. The moderators were vaccination and unmet medical needs. Predictors affecting the practice of social distancing were identified through hierarchical multiple logistic regression analysis.

RESULTS

Smokers (adjusted odds ratio [aOR], 0.924) and frequent drinkers (aOR, 0.933) were more likely not to practice social distancing. A greater degree of physical activity was associated with a higher likelihood of practicing social distancing (aOR, 1.029). People who were vaccinated against influenza were more likely to practice social distancing than those who were not (aOR, 1.150). However, people with unmet medical needs were less likely to practice social distancing than those who did not experience unmet medical needs (aOR, 0.757).

CONCLUSIONS

Social distancing practices were related to traditional health behaviors such as smoking, drinking, and physical activity. Their patterns showed a clustering effect of health inequality. Therefore, when establishing a strategy to strengthen social distancing, a strategy to protect the vulnerable should be considered concomitantly.

Clustering of Health Risk Behaviors in Mexican and Puerto Rican Men: Results from the Latino Men's Health Initiative

Engaging in multiple health risk behaviors simultaneously may increase the risk for cardiometabolic diseases. This study examined the prevalence and clustering of three health behaviors (physical activity, fruit and vegetable consumption, and smoking) among Latino men. The participants were 99 Mexican and 104 Puerto Rican men who participated in a study addressing culture- and obesity-related factors. The health behaviors were obtained from self-reported and anthropometric assessments through objective measurements. Among all participants, 5% had no health risk behaviors, 30% had one, 47% had two, and 18% had all three; their most common health risk behavior cluster was low physical activity and low fruit and vegetable consumption (28%). Among Puerto Rican men, 7% had no health risk behaviors, 24% had one, 51% had two, and 18% had all three; their most common health risk behavior cluster was current smoker and low fruit and vegetable consumption (28%). Among Mexican men, 3% had no health risk behaviors, 36% had one, 43% had two and 19% had all three; their most common health risk behavior cluster was low physical activity and low fruit and vegetable consumption (33%). The findings highlight the need for lifestyle interventions that target multiple health risk behaviors related to cardiometabolic diseases in Latinos.

Service design in healthcare: a segmentation-based approach

Purpose

The study aims to explore how segmentation as a methodology can be adapted to the healthcare context to provide a more nuanced understanding of the served population and to facilitate the design of patient-centric services.

Design/methodology/approach

The study was based on a collaborative project with a national healthcare organization following the principles of action design research. The study describes the quantitative segmentation performed during the project, followed by a qualitative interview study of how segments correspond with patient behaviors in an actual healthcare setting, and service design workshops facilitated by segments. A number of design principles are outlined based on the learnings of the project.

Findings

The segmentation approach increased understanding of patient variability within the service provider organization and was considered an effective foundation for modular service design. Patient characteristics and life circumstances were related to specific patterns of health behaviors, such as avoidance or passivity, or a persistent proactivity. These patterns influenced the patients' preferred value co-creation role and what type of support patients sought from the care provider.

Practical implications

The proposed segmentation approach is immediately generalizable to further healthcare contexts and similar services: improved understanding of patients, vulnerable patients in particular, improves the fit and inclusivity of services.

Originality/value

The segmentation approach to service design was demonstrated to be effective in a large-scale context. The approach allows service providers to design service options that improve the fit with individual patients' needs for support and autonomy. The results illuminate how patient characteristics influence health and value co-creation behaviors.

Digital multiple health behaviour change intervention targeting online help seekers: protocol for the COACH randomised factorial trial

INTRODUCTION

Unhealthy lifestyle behaviours continue to be highly prevalent, including alcohol consumption, unhealthy diets, insufficient physical activity and smoking. There is a lack of effective interventions which have a large enough reach into the community to improve public health. Additionally, the common co-occurrence of multiple unhealthy behaviours demands investigation of efforts which address more than single behaviours.

METHODS AND ANALYSIS

The effects of six components of a novel digital multiple health behaviour change intervention on alcohol consumption, diet, physical activity and smoking (coprimary outcomes) will be estimated in a factorial randomised trial. The components are designed to facilitate behaviour change, for example, through goal setting or increasing motivation, and are either present or absent depending on allocation (ie, six factors with two levels each). The study population will be those seeking help online, recruited through search engines, social media and lifestyle-related websites. Included will be those who are at least 18 years of age and have at least one unhealthy behaviour. An adaptive design will be used to periodically make decisions to continue or stop recruitment, with simulations suggesting a final sample size between 1500 and 2500 participants. Multilevel regression models will be used to analyse behavioural outcomes collected at 2 months and 4 months postrandomisation.

ETHICS AND DISSEMINATION

Approved by the Swedish Ethical Review Authority on 2021-08-11 (Dnr 2021-02855). Since participation is likely motivated by gaining access to novel support, the main concern is demotivation and opportunity cost if the intervention is found to only exert small effects. Recruitment began on 19 October 2021, with an anticipated recruitment period of 12 months.

TRIAL REGISTRATION NUMBER

ISRCTN16420548.

Development and validation of a social vulnerabilities survey for medical inpatients

OBJECTIVES

Our objective was to validate a Social Vulnerabilities Survey that was developed to identify patient barriers in the following domains: (1) salience or priority of health; (2) social support; (3) transportation; and (4) finances.

DESIGN

Cross-sectional psychometric study.Questions for one domain (health salience) were developed de novo while questions for the other domains were derived from national surveys and/or previously validated questionnaires. We tested construct (ie, convergent and discriminative) validity for these new questions through hypothesis testing of correlations between question responses and patient characteristics. Exploratory factor analysis was conducted to determine structural validity of the survey as a whole.

SETTING

Patients admitted to the inpatient internal medicine service at a tertiary care hospital in Calgary, Canada.

PARTICIPANTS

A total of 406 patients were included in the study.

RESULTS

The mean age of respondents was 55.5 (SD 18.6) years, with the majority being men (55.4%). In feasibility testing of the first 107 patients, the Social Vulnerabilities Survey was felt to be acceptable, comprehensive and met face validity. Hypothesis testing of the health salience questions revealed that the majority of observed correlations were exactly as predicted. Exploratory factor analysis of the global survey revealed the presence of five factors (eigenvalue >1): social support, health salience, drug insurance, transportation barriers and drug costs. All but four questions loaded to these five factors.

CONCLUSIONS

The Social Vulnerabilities Survey has face, construct and structural validity. It can be used to measure modifiable social vulnerabilities, such that their effects on health outcomes can be explored and understood.

Cross-sectional study of COVID-19 knowledge, beliefs and prevention behaviours among adults in Senegal

OBJECTIVES

The aim of the study was to explore COVID-19 beliefs and prevention behaviours in a francophone West African nation, Senegal.

DESIGN

This was a cross-sectional analysis of survey data collected via a multimodal observational study.

PARTICIPANTS

Senegalese adults aged 18 years or older (n=1452).

PRIMARY AND SECONDARY OUTCOME MEASURES

Primary outcome measures were COVID-19 prevention behaviours. Secondary outcome measures included COVID-19 knowledge and beliefs. Univariate, bivariate and multivariate statistics were generated to describe the sample and explore potential correlations.

SETTING

Participants from Senegal were recruited online and telephonically between June and August 2020.

RESULTS

Mask wearing, hand washing and use of hand sanitiser were most frequently reported. Social distancing and staying at home were also reported although to a lower degree. Knowledge and perceived risk of COVID-19 were very high in general, but risk was a stronger and more influential predictor of COVID-19 prevention behaviours. Men, compared with women, had lower odds (adjusted OR (aOR)=0.59, 95% CI 0.46 to 0.75, p<0.001) of reporting prevention behaviours. Rural residents (vs urban; aOR=1.49, 95% CI 1.12 to 1.98, p=0.001) and participants with at least a high school education (vs less than high school education; aOR=1.33, 95% CI 1.01 to 1.76, p=0.006) were more likely to report COVID-19 prevention behaviours.

CONCLUSIONS

In Senegal, we observed high compliance with recommended COVID-19 prevention behaviours among our sample of respondents, in particular for masking and personal hygiene practice. We also identified a range of psychosocial and demographic predictors for COVID-19 prevention behaviours such as knowledge and perceived risk. Stakeholders and decision makers in Senegal and across Africa can use place-based evidence like ours to address COVID-19 risk factors and intervene effectively with policies and programming. Use of both phone and online surveys enhances representation and study generalisability and should be considered in future research with hard-to-reach populations.

Burden of Cancer Due to Cigarette Smoking and Alcohol Consumption in Korea

This study aimed to estimate the burden of cancer in Koreans attributable to smoking and alcohol consumption using disability-adjusted life years and population attributable fractions. We estimated the burden of 12 cancers due to simultaneous and independent smoking and alcohol exposure in Koreans aged ≥40 years. In men, the cancer burden attributable to the combined risk factors, smoking alone, and alcohol consumption alone were 9.5, 14.8, and 6.1%, respectively; the corresponding values for women were 1.1, 2.5, and 2.7%, respectively. In men, tracheal, bronchial, and lung cancers were the most common cancer types. The disease burden may have been reduced by 16.8, 32.3, and 4.1% in the absence of the combined risk factors, smoking alone, and alcohol consumption alone, respectively. Our findings suggest that risk factor-based intervention may have the greatest preventative effect for lung cancer among all cancers in men. Our real-world data methodology could provide further evidence-based methods to explore and facilitate effective health promotion interventions for specific target groups and may lay the foundation for the establishment of healthcare services according to population subgroups or regional characteristics.

Geographic concentration of SARS-CoV-2 cases by social determinants of health in metropolitan areas in Canada: a cross-sectional study

Background:

Understanding inequalities in SARS-CoV-2 transmission associated with the social determinants of health could help the development of effective mitigation strategies that are responsive to local transmission dynamics. This study aims to quantify social determinants of geographic concentration of SARS-CoV-2 cases across 16 census metropolitan areas (hereafter, cities) in 4 Canadian provinces, British Columbia, Manitoba, Ontario and Quebec.

Methods:

We used surveillance data on confirmed SARS-CoV-2 cases and census data for social determinants at the level of the dissemination area (DA). We calculated Gini coefficients to determine the overall geographic heterogeneity of confirmed cases of SARS-CoV-2 in each city, and calculated Gini covariance coefficients to determine each city’s heterogeneity by each social determinant (income, education, housing density and proportions of visible minorities, recent immigrants and essential workers). We visualized heterogeneity using Lorenz (concentration) curves.

Results:

We observed geographic concentration of SARS-CoV-2 cases in cities, as half of the cumulative cases were concentrated in DAs containing 21%–35% of their population, with the greatest geographic heterogeneity in Ontario cities (Gini coefficients 0.32–0.47), followed by British Columbia (0.23–0.36), Manitoba (0.32) and Quebec (0.28–0.37). Cases were disproportionately concentrated in areas with lower income and educational attainment, and in areas with a higher proportion of visible minorities, recent immigrants, high-density housing and essential workers. Although a consistent feature across cities was concentration by the proportion of visible minorities, the magnitude of concentration by social determinant varied across cities.

Interpretation:

Geographic concentration of SARS-CoV-2 cases was observed in all of the included cities, but the pattern by social determinants varied. Geographically prioritized allocation of resources and services should be tailored to the local drivers of inequalities in transmission in response to the resurgence of SARS-CoV-2.

Clustering of unhealthy lifestyle behaviors, self-rated health and disability

The main objective was to identify sociodemographic characteristics of the population at risk for a greater clustering of unhealthy behaviors and to evaluate the association of such clustering with self-rated health status and disability. Data come from the 2017 Spanish National Health Survey with a sample of 21,947 participants of 15 years of age or older. Based on tobacco consumption, risk drinking, unbalanced diet, sedentarism, and body mass index <18.5/≥25 we created two indicators of risk factor clustering: 1) Number of unhealthy behaviors (0-5); and 2) Unhealthy lifestyle index (score: 0-15). Self-rated health was dichotomized into "optimal" and "suboptimal," and disability was classified as "no disability," "mild," and "severe" based on the Global Activity Limitation Index (GALI). We estimated prevalence ratios (PR) adjusted for covariates using generalized linear models using the clustering count variable, and dose-response curves using the unhealthy lifestyle index. Most participants (77.4%) reported 2 or more risk factors, with men, middle-age individuals, and those with low socioeconomic status being more likely to do so. Compared to those with 0-1 risk factors, the PR for suboptimal health was 1.26 (95% CI:1.18-1.34) for those reporting 2-3 factors, reaching 1.43 (95% CI:1.31-1.55) for 4-5 factors. The PR for severe activity limitation was 1.66 (95% CI:1.35-2.03) for those reporting 2-3 factors and 2.06 (95% CI:1.59-2.67) for 4-5 factors. The prevalence of both health indicators increased in a non-linear fashion as the unhealthy lifestyle index score increased, increasing rapidly up to 5 points, slowing down between 5 and 10 points, and plateauing afterwards.

Association between healthy lifestyle score changes and quality of life and health-related quality of life: a longitudinal analysis of South Korean panel data

OBJECTIVES

We aimed to determine the influence of changes in the aggregate score of healthy lifestyle factors on health-related quality of life (HRQOL) and overall quality of life (QOL) in the Korean older adult population.

DESIGN

This study used a longitudinal design.

SETTING AND PARTICIPANTS

Data on 9474 participants aged 45 years or older were extracted from the Korean Longitudinal Study on Aging for the period 2006-2016. A composite score of four lifestyle factors (smoking, drinking, physical activity and body mass index) was calculated, and biennial changes in aggregate score were computed.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcomes were HRQOL and QOL.

RESULTS

Generalised estimating equation analysis results showed that those with healthy lifestyle score changes from 'Low-High' (β =-0.987, p=0.002; β =-1.288, p<0.0001), 'High-Low' (β =-1.281, p<0.0001; β =-1.952, p<0.0001) and 'Low-Low' (β =-1.552, p<0.0001; β =-2.398, p<0.0001) groups were more likely to be have lower HRQOL and QOL estimates than those in 'High-High' group. Female gender, older age and depression had a more negative impact on HRQOL, while male gender and younger age had a more negative impact on QOL, especially in the Low-Low group. The relationship between changes in scores and HRQOL and QOL varied across different elements of healthy lifestyle scores. Changes in physical activity, drinking and smoking status were significantly associated with lower HRQOL and QOL.

CONCLUSION

The findings suggest an association between a low healthy lifestyle score and poor quality of life, in both general and health-related aspects. Strategies targeting the Korean ageing demographic to promote a healthier lifestyle should be encouraged.

Health Behavior and Associated Factors in Young Adult Cancer Patients

Objectives: Having cancer in young adulthood increases the risk of adverse long-term health effects. These risks can be influenced by one's health behavior (HB). The aim of this study is therefore to investigate the presence of health behavior in adolescents and young adults (AYAs) and to identify associated factors. Design: Young cancer patients (18-39 years old at time of diagnosis) were surveyed at baseline and 12 months later via online or as a paper-pencil version. Methods: A spectrum of indicators for HB was assessed via seven items from the Questionnaire of Multiple Health Behavior (MHB). Multiple linear regression analyses were conducted to determine factors associated with patients' HB indicators. Results: Five-hundred and fourteen AYAs (75% women) reported the highest level of health-conscious behavior for "avoidance of consumption of nicotine," "follow medical recommendations," and "being considerate in road traffic." Less health-conscious behavior was reported for "keeping an appropriate and balanced diet" and "physical activity." Significant improvements from baseline to the follow-up were observed for "regularly attending health screening" (Hedges' g = 0.44). The analyzed factors explained up to 10% of the HB indicators. Women reported significantly more health-conscious behavior than men in four out of seven HB indicators. Higher quality of life (QoL) was associated with more health behavior in three out of seven HB indicators. Conclusion: Findings show a predominantly health-conscious lifestyle in AYA cancer patients, though we also found harmful behavior which needs to be better approached-e.g., through improving AYAs' health education. AYA men should be particularly targeted in specific prevention and health promotion measures. Future work should identify other factors associated with HB to evaluate targets for intervention.

Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race

The COVID-19 pandemic is a global threat presenting health, economic, and social challenges that continue to escalate. Metapopulation epidemic modeling studies in the susceptible-exposed-infectious-removed (SEIR) style have played important roles in informing public health policy making to mitigate the spread of COVID-19. These models typically rely on a key assumption on the homogeneity of the population. This assumption certainly cannot be expected to hold true in real situations; various geographic, socioeconomic, and cultural environments affect the behaviors that drive the spread of COVID-19 in different communities. What's more, variation of intracounty environments creates spatial heterogeneity of transmission in different regions. To address this issue, we develop a human mobility flow-augmented stochastic SEIR-style epidemic modeling framework with the ability to distinguish different regions and their corresponding behaviors. This modeling framework is then combined with data assimilation and machine learning techniques to reconstruct the historical growth trajectories of COVID-19 confirmed cases in two counties in Wisconsin. The associations between the spread of COVID-19 and business foot traffic, race and ethnicity, and age structure are then investigated. The results reveal that, in a college town (Dane County), the most important heterogeneity is age structure, while, in a large city area (Milwaukee County), racial and ethnic heterogeneity becomes more apparent. Scenario studies further indicate a strong response of the spread rate to various reopening policies, which suggests that policy makers may need to take these heterogeneities into account very carefully when designing policies for mitigating the ongoing spread of COVID-19 and reopening.

Exploring the impacts of media use and media trust on health behaviors during the COVID-19 pandemic in China

The aim of this study is to investigate the effects of traditional media, social media, and media trust on people’s compliance with health behaviors during the COVID-19 pandemic in China. A total of 3000 Chinese adults filled online questionnaire using quota sampling method. Results show that use of central government media and use of WeChat are positively related to compliance with health behaviors, while use of local media and use of Weibo are negatively related to the levels of compliance. In addition, trust in the media amplified the effects of media use on levels of compliance.

The prevalence of preventive behaviors and associated factors during the early phase of the COVID-19 pandemic among Iranian People: Application of a Health Belief Model

INTRODUCTION

Coronavirus disease 2019 (COVID-19) has developed into a severe public health concern. The present study was aimed to evaluate the related preventive behaviors to COVID-19, and associated factors among Iranians based on the constructs of the Health Belief Model (HBM).

METHODS

This cross-sectional study was conducted between March and April 2020 among Iranians. Data of 1,020 people were collected by a self-administered questionnaire based on the constructs of HBM and also a demographics questionnaire. Simple and multivariable linear regression models were used to determine the predictors of preventive behaviors concerning COVID-19. A P-value of less than 0.05 was considered significant.

RESULTS

The mean score of preventive behaviors concerning COVID-19 was 4.27 (standard deviation = 0.60). 40.6% (95% CI: 38.6-43.7%), and 56.5% (95% CI: 53.4-59.5%) of the participants exhibited a high, and moderate level of preventive behaviors, respectively. 75.1% of the participants would always/often wear face masks out home or in crowded places. The most common preventive behaviors were using of personal belongings in the workplace or at home (96.1%) and staying at home except for very necessary or for work (92.9%). Results showed that all six HBM constructs, i.e., perceived susceptibility (B = 0.07, P < 0.001), perceived severity (B = 0.08, P < 0.001), perceived benefits (B = 0.25, P < 0.001), perceived barriers (B = -0.12, P = 0.001), cues to action (B = 0.07, P < 0.001), and self-efficacy (B = 0.26, P < 0.001) were significant predictors of related preventive behaviors to COVID-19. Female gender was another predictor of preventive behaviors (B = 0.18, P < 0.001).

CONCLUSIONS

This study demonstrated the effectiveness of HBM constructs in predicting COVID-19 preventive behaviors. Therefore, the model as a framework for designing training programs for improving health behaviors among Iranians during the COVID-19 pandemic seems to be helpful.

Mechanisms linking teenage mothers' educational attainment with self-reported health at age 50

Background

Early childbearing is associated with adverse health and well-being throughout the life course for women in the United States. As education continues to be a modifiable social determinant of health after a young woman gives birth, the association of increased educational attainment with long-term health for women who begin childbearing as teenagers is worthy of investigation.

Methods

Data are from 301 mothers in the National Longitudinal Survey of Youth 1979 who gave birth prior to age 19. We estimated path models to assess women’s incomes, partner characteristics, and health behaviors at age 40 as mediators of the relationship between their educational attainment and self-rated general health at age 50.

Results

After accounting for observed background factors that select women into early childbearing and lower educational attainment, higher levels of education (high school diploma and GED attainment vs. no degree) were indirectly associated with higher self-rated health at age 50 via higher participant income at age 40.

Conclusions

As education is a social determinant of health that is amenable to intervention after a teen gives birth, our results are supportive of higher educational attainment as a potential pathway to improving long-term health outcomes of women who begin childbearing early.

Higher Levels of Physical Activity Are Associated with Greater Fruit and Vegetable intake in Older Adults

OBJECTIVE

High levels of physical activity (PA) and optimal nutrition independently improve healthy aging, but few data are available about how PA may influence food preferences in older populations. Therefore, the aim of our study was to establish if there is an association between habitual PA and intake of nutrient-dense foods (i.e. fruits and vegetables).

DESIGN

A cross-sectional survey was conducted.

SETTING

The Netherlands.

PARTICIPANTS

2466 older adults (56% male, age 62±9 yr).

MEASUREMENTS

PA was assessed using the short questionnaire to assess health (SQUASH) and participants were classified into quintiles of weekly PA (MET-h/wk). Total fruit and vegetable intake was assessed using a validated food frequency questionnaire (FFQ) and were corrected for energy intake (g/kcal/d) in the analyses. Multiple regression analyses were performed to determine the association between PA and fruit and vegetable intake, including covariates.

RESULTS

Being in the higher quintiles of PA (Q3, Q4 and Q5) was positively associated with more daily fruit and vegetable consumption, even after correction for total energy intake (Q3; β=0.089, P<0.001, Q4; β=0.047, P=0.024, Q5; β=0.098, P<0.001).

CONCLUSIONS

Older adults who are moderately to highly physically active tend to consume more fruit and vegetable compared to less active peers, when corrected for total energy intake. Female gender, under- and overreporting dietary intake (Goldberg score), non-smoking, high level of education, less alcohol consumption and a lower body mass index positivity affected this relationship. Our data will help health-care professionals to accelerate their efforts to treat and prevent chronic diseases.

Mindfulness-Based Programs for Patients With Cancer via eHealth and Mobile Health: Systematic Review and Synthesis of Quantitative Research

Background

eHealth mindfulness-based programs (eMBPs) are on the rise in complex oncology and palliative care. However, we are still at the beginning of answering the questions of how effective eMBPs are and for whom, and what kinds of delivery modes are the most efficient.

Objective

This systematic review aims to examine the feasibility and efficacy of eMBPs in improving the mental health and well-being of patients with cancer, to describe intervention characteristics and delivery modes of these programs, and to summarize the results of the included studies in terms of moderators, mediators, and predictors of efficacy, adherence, and attrition.

Methods

In total, 4 databases (PubMed, PsycINFO, Scopus, and Web of Knowledge) were searched using relevant search terms (eg, mindfulness, program, eHealth, neoplasm) and their variations. No restrictions were imposed on language or publication type. The results of the efficacy of eMBPs were synthesized through the summarizing effect estimates method.

Results

A total of 29 published papers describing 24 original studies were included in this review. In general, the results indicate that eMBPs have the potential to reduce the levels of stress, anxiety, depression, fatigue, sleep problems, and pain, and improve the levels of mindfulness, posttraumatic growth, and some parameters of general health. The largest median of Cohen d effect sizes were observed in reducing anxiety and depression (within-subject: median −0.38, IQR −0.62 to −0.27; between-group: median −0.42, IQR −0.58 to −0.22) and facilitating posttraumatic growth (within-subject: median 0.42, IQR 0.35 to 0.48; between-group: median 0.32, IQR 0.22 to 0.39). The efficacy of eMBP may be comparable with that of parallel, face-to-face MBPs in some cases. All studies that evaluated the feasibility of eMBPs reported that they are feasible for patients with cancer. Potential moderators, mediators, and predictors of the efficacy, attrition, and adherence of eMBPs are discussed.

Conclusions

Although the effects of the reviewed studies were highly heterogeneous, the review provides evidence that eMBPs are an appropriate way for mindfulness practice to be delivered to patients with cancer. Thus far, existing eMBPs have mostly attempted to convert proven face-to-face mindfulness programs to the eHealth mode. They have not yet fully exploited the potential of eHealth technology.

Education differences in sickness absence and the role of health behaviors: a prospective twin study

BACKGROUND

Long-term sickness absences burden the economy in many industrialized countries. Both educational attainment and health behaviors are well-known predictors of sickness absence. It remains, however, unclear whether these associations are causal or due to confounding factors. The co-twin control method allows examining causal hypotheses by controlling for familial confounding (shared genes and environment). In this study, we applied this design to study the role of education and health behaviors in sickness absence, taking sex and cohort differences into account.

METHODS

Participants were two cohorts of in total 8806 Norwegian twins born 1948 to 1960 (older cohort, mean age at questionnaire = 40.3, 55.8% women), and 1967 to 1979 (younger cohort, mean age at questionnaire = 25.6, 58.9% women). Both cohorts had reported their health behaviors (smoking, physical activity and body mass index (BMI)) through a questionnaire during the 1990s. Data on the twins' educational attainment and long-term sickness absences between 2000 and 2014 were retrieved from Norwegian national registries. Random (individual-level) and fixed (within-twin pair) effects regression models were used to measure the associations between educational attainment, health behaviours and sickness absence and to test the effects of possible familial confounding.

RESULTS

Low education and poor health behaviors were associated with a higher proportion of sickness absence at the individual level. There were stronger effects of health behaviors on sickness absence in women, and in the older cohort, whereas the effect of educational attainment was similar across sex and cohorts. After adjustment for unobserved familial factors (genetic and environmental factors shared by twin pairs), the associations were strongly attenuated and non-significant, with the exception of health behaviors and sickness absence among men in the older cohort.

CONCLUSIONS

The associations between educational attainment, health behaviors, and sickness absence seem to be confounded by unobserved familial factors shared by co-twins. However, the association between health behaviors and sickness absence was consistent with a causal effect among men in the older cohort. Future studies should consider familial confounding, as well as sex and age/cohort differences, when assessing associations between education, health behaviors and sickness absence.

Multiple modifiable lifestyle factors and the risk of perinatal depression during pregnancy: Findings from the GUSTO cohort

BACKGROUND

Studies have identified lifestyle risk factors for perinatal depression, but none have examined the cumulative effect of these risk factors in pregnant women.

METHODS

We considered the following six factors during pregnancy: poor diet quality (Healthy eating index for Singapore pregnant women<median), poor sleep quality (global Pittsburgh sleep quality index score > 5), physical inactivity (<600 MET-minutes/week), vitamin D insufficiency (<50 nmol/l), smoking before or during pregnancy, and the perceived need for social support. Probable depression was assessed using the Edinburgh postnatal depression scale during pregnancy (>15) and at three months postpartum (≥13). Prevalence risk ratios were calculated with Poisson regressions while adjusting for potential confounders.

RESULTS

Of 535 pregnant women, 207 (39%) had zero or one risk factor, 146 (27%) had two, 119 (22%) had three, 48 (9%) had four, and 15 (3%) had ≥5 risk factors at 26-28 weeks' gestation. These six lifestyle habits contributed to 32% of the variance in depressive symptoms during pregnancy. The prevalence of being probably depressed was 6.4 (95% CI 2.1, 19.8; p_trend < 0.001) for expecting women who had ≥4 risk factors compared to women who had ≤1 risk factor. No association was observed between the number of risk factors and depressive symptoms at 3 months postpartum (p_trend = 0.746).

CONCLUSION

Pregnant women with ≥4 lifestyle risk factors showed a higher prevalence of depression during pregnancy, while no associations were observed for postpartum depression.

CLINICAL TRIAL REGISTRATION

This cohort is registered under the Clinical Trials identifier NCT01174875; http://www.clinicaltrials.gov/ct2/show/NCT01174875?term=GUSTO&rank=2.

Clean and Contain: Initial Development of a Measure of Infection Prevention Behaviors During the COVID-19 Pandemic

Background

The Centers for Disease Control and Prevention (CDC) offer behavioral guidance to prevent the spread of infectious diseases like COVID-19. Cleaning (e.g., cleaning surfaces, washing and sanitizing hands) and containing (e.g., covering coughs, keeping distance from others, especially sick people) behaviors are recommended.

Purpose

To develop the Clean and Contain Measure, a brief measure of compliance with CDC recommendations for prevention of infectious disease, and validate the measure in individuals experiencing the COVID-19 pandemic.

Methods

Participants were recruited from Amazon Mechanical Turk and social media.

Results

In Study 1 (N = 97), exploratory factor analysis revealed two scales: (a) five items assessing cleaning behaviors and (b) four items assessing containing behaviors. Simple structure was obtained and alpha coefficients for both scales were >.83. In Studies 2 (N = 204) and 3 (N = 527), confirmatory factor analysis verified the identical factor structure found in Study 1. All loadings were statistically significant at p < .001. Alpha coefficients for both scales were >.84 for Studies 2 and 3.

Conclusions

Our measure is a reliable and valid indicator of compliance with cleaning and containing health behaviors that help to prevent the spread of diseases like COVID-19. Future research should replicate construct validity in more diverse samples and continue to refine items, examine construct validity, including predictive and discriminant validity, and improve the measure for future use. With continued use and refinement, this measure could allow health officials and researchers to accurately assess compliance with important infection prevention behavior guidelines.

Smoking, obesity, and their co-occurrence in the U.S. military veterans: results from the national health and resilience in veterans study

BACKGROUND

Smoking and obesity are major public health concerns, though little is known about the mental and physical health burden of co-occurring obesity and smoking.

METHODS

Using a nationally representative sample of U.S. military veterans, we examined the prevalence of mental and physical co-morbidities, physical and mental functioning, and quality of life between obese only; smoking only; and obese smokers.

RESULTS

Among current smokers, 31.7% were obese; among obese veterans, 16.4% were current smokers; and in the total sample, 5.4% were obese and current smokers. Relative to the obese-only group, obese smokers were more likely to be younger, male, non-white, non-married, unemployed and VA-served, and have lower household incomes. These also reported higher levels of perceived stress and trauma and were more likely to endorsed current suicidal ideation and lifetime suicide attempts (odds ratio [OR]=2.0), medical (2.3<=OR<=3.9) and psychiatric (1.5<=OR<=2.9) comorbidities, and lower overall health status and quality of life. Compared to the smoking-only group, obese smokers were more likely to endorse current suicidal ideation (OR=2.0) and nicotine dependence (OR=1.5), and reported poorer physical health and overall quality of life. Analyses were adjusted for sociodemographic and military characteristics.

LIMITATIONS

The cross-sectional study design precludes causal inference.

CONCLUSIONS

These findings suggest that co-occurring obesity and smoking is associated with substantial mental and physical health burden in U.S. veterans. Collectively, they underscore the importance of multicomponent interventions targeting, obesity, smoking, and co-occurring issues, such as trauma and internalizing disorders, in this population.

Social Distancing as a Health Behavior: County-Level Movement in the United States During the COVID-19 Pandemic Is Associated with Conventional Health Behaviors

BACKGROUND

Social distancing-when people limit close contact with others outside their household-is a primary intervention available to combat the COVID-19 pandemic. The importance of social distancing is unlikely to change until effective treatments or vaccines become widely available. However, relatively little is known about how best to promote social distancing. Applying knowledge from social and behavioral research on conventional health behaviors (e.g., smoking, physical activity) to support public health efforts and research on social distancing is promising, but empirical evidence supporting this approach is needed.

PURPOSE

We examined whether one type of social distancing behavior-reduced movement outside the home-was associated with conventional health behaviors.

METHOD

We examined the association between GPS-derived movement behavior in 2,858 counties in USA from March 1 to April 7, 2020 and the prevalence of county-level indicators influenced by residents' conventional health behaviors.

RESULTS

Changes in movement were associated with conventional health behaviors, and the magnitude of these associations were similar to the associations among the conventional health behaviors. Counties with healthier behaviors-particularly less obesity and greater physical activity-evidenced greater reduction in movement outside the home during the initial phases of the pandemic in the USA.

CONCLUSIONS

Social distancing, in the form of reduced movement outside the home, is associated with conventional health behaviors. Existing scientific literature on health behavior and health behavior change can be more confidently used to promote social distancing behaviors during the COVID-19 pandemic.

Higher healthy lifestyle scores are associated with greater bone mineral density in middle-aged and elderly Chinese adults

This study examined the association between healthy lifestyle score (HLS), which contained 7 items (smoking, BMI, physical activity, diet, alcohol, sleep and anxiety) and BMD. Results showed HLS was positively associated with BMD at all studied sites, suggesting that healthier lifestyle patterns might be beneficial to bone health.

PURPOSE

Previous studies have reported favourable associations of individual healthy lifestyle factors with bone mineral density (BMD), but limited evidence showed the relationship of a combined healthy lifestyle score (HLS) with BMD. This study examined the association between the HLS and BMD.

METHODS

This community-based cross-sectional study included 3051 participants aged 40-75 years. The HLS contained 7 items (smoking, BMI, physical activity, diet quality, alcohol intake, sleep and anxiety). BMD values of whole body (WB), lumbar spine 1-4 (L_1-4), total hip (TH) and femur neck (FN) were measured using dual-energy X-ray absorptiometry.

RESULTS

After adjusting for potential covariates, HLS was positively associated with BMD at all studied sites (P-trend < 0.01). The mean BMDs were 2.69% (WB), 5.62% (L_1-4), 6.13% (TH) and 5.71% (FN) higher in participants with HLS of 6-7 points than in those with HLS of 0-2 points. The per 1 of 7 unit increase in the HLS was associated with increases of 7.63 (WB)-13.4 (TH) mg/cm² BMD levels at all sites. These favourable associations tended to be more pronounced in men than in women. Among the 7 items, physical activity contributed most to the favourable associations, followed by BMI, non-smoking and diet; the other three items played little roles. Sensitivity analyses showed that the significant associations remained after excluding any one of the 7 components or excluding fracture subjects at all sites.

CONCLUSION

Higher HLS was associated with greater BMD in middle-aged and elderly Chinese, suggesting that healthier lifestyle patterns might be beneficial to bone health.

Exercise, Flourishing, and the Positivity Ratio in Seventh-Day Adventists: A Prospective Study

PURPOSE

Flourishing and mental health in the prediction of health behaviors such as exercise has been understudied. Positive emotions may promote, and negative emotions hinder protective health behaviors; however, the direction of these associations is unclear. The objective here was to investigate possible associations prospectively.

DESIGN

Longitudinal cohort study.

SETTING

National.

SAMPLE

The Biopsychosocial Religion and Health Study of Seventh-day Adventists provided longitudinal data from 2006 to 2007 and 2010 to 2011 (n = 5789).

MEASURES

Flourishing was based on 6 measures of social functioning (positive social exchanges, negative social exchanges, religious emotional support given, received, and anticipated, and negative interactions) and 4 measures of psychological functioning (mastery, self-esteem, spiritual meaning, and perceived stress). The positivity ratio was the ratio of positive to negative emotions assessed with the Positive and Negative Affect Schedule.

ANALYSIS

Linear multiple regression and mediation.

RESULTS

Flourishing worked indirectly through the positivity ratio to predict a later increase in exercise over the course of 3 to 5 years. Tests of mediation suggest that the association of flourishing with later exercise was indirect through an increased ratio of positive to negative affect. Initial exercise frequency was also associated with later improved flourishing and positivity ratio scores over the same period.

CONCLUSION

The association of mental health and exercise is likely bidirectional. Exercise improves mental health, and those that have better psychosocial functioning have better mood and are more likely to increase exercise behaviors over time. Exercise is likely integral to mental health in mid to late life.

Mediation analysis for the relationship between dyslipidemia and coronary artery disease via hypersensitive C-reactive protein in a case-control study

BACKGROUND

The pathological basis of coronary artery disease (CAD) is atherosclerosis which is associated with inflammation and dyslipidemia. However, the involvement of hypersensitive C-reactive protein (hs-CRP) in lipid metabolism and how it affects the pathogenesis of CAD is uncertain.

OBJECTIVE

To explore whether the relationship between dyslipidemia and CAD is partly mediated by hs-CRP levels.

METHODS

Three hundred fifteen pairs of randomly sexand age-matched CAD and non-CAD subjects collected from Zhongda Hospital Affiliated to Southeast University were involved in the final analysis. We gathered information about each subjects clinical history as well as their results of detected hs-CRP and lipid levels. Linear regression analysis was used to determine the association between dyslipidemia and hs-CRP levels in which univariate and multivariate logistic regression analyzes were performed to determine the relationship between hs-CRP levels and CAD as well as dyslipidemia and CAD. Mediation analysis was used to evaluate whether hs-CRP levels act as a mediator of the relationship between dyslipidemia and CAD.

RESULTS

Dyslipidemia and hs-CRP levels were significantly associated with an increased risk of CAD, with β = 0.594 (P = 0.001) and β = 0.016 (P = 0.024), respectively, and there was a correlation between dyslipidemia and hs-CRP levels (β = 3.273, P = 0.004). Mediation analysis results revealed that the correlation between dyslipidemia and CAD was 8.27% mediated by hs-CRP levels with a direct effect of 0.621 and an indirect effect of 0.056.

CONCLUSION

Hs-CRP levels played a partial mediation role in the association between dyslipidemia and CAD.

Lifestyle and Psychosocial Patterns and Diabetes Incidence Among Women with and Without Obesity: a Prospective Latent Class Analysis

We conducted latent class analyses to identify women with homogeneous combinations of lifestyle and behavioral variables and tested whether latent classes were prospectively associated with diabetes incidence for women with or without baseline obesity. A total of 64,710 postmenopausal women aged 50-79 years without prevalent diabetes at baseline (years 1993-1998) were followed until 2018 with a mean follow-up of 14.6 years (sd = 6.4). Lifestyle variables included smoking, diet quality, physical activity, and sleep quality. Psychosocial variables included social support, depression, and optimism. Multivariable Cox proportional hazards regression models tested associations between latent classes and diabetes incidence controlling for age, race/ethnicity, and education. During follow-up, 8076 (12.4%) women developed diabetes. For women without baseline obesity, five latent classes were identified. Compared with a lower risk referent, diabetes incidence was higher in classes characterized by high probability of multiple lifestyle and psychosocial risks (HR = 1.45; 95% CI 1.28, 1.64), poor diet and exercise (HR = 1.23; 95% CI 1.13, 1.33), and psychosocial risks alone (HR = 1.20; 95% CI 1.12, 1.29). For women with baseline obesity, four latent classes were identified. Compared with a lower risk referent, diabetes incidence was higher for women with obesity in classes characterized by high probability of multiple lifestyle and psychosocial risks (HR = 1.48; 95% CI 1.32, 1.66), poor diet and exercise (HR = 1.32; 95% CI 1.19, 1.47), and intermediate probabilities of multiple risks (HR = 1.17; 95% CI 1.05, 1.30). Diabetes prevention efforts that focus on diet and exercise may benefit from attention to how lifestyle behaviors interact with psychosocial variables to increase diabetes risks, and conversely, how psychological or social resources may be leveraged with lifestyle changes to reduce the risk for women with and without obesity.

Trends in Health Behavior Patterns Among U.S. Adults, 2003-2015

Background

Over the last two decades, considerable resources from U.S. federal and philanthropic entities were dedicated to improving preventive and reducing chronic disease risk behaviors.

Purpose

Given the population health efforts to improve health behaviors in adults, this study explored how health behavior patterns shifted over the years by exploring multiple health behavior patterns.

Methods

Data were obtained from the odd years between 2002 and 2016 Behavioral Risk Factor Surveillance System. Latent class analyses including fruit and vegetables, physical activity, cigarette smoking, and heavy and binge drinking were conducted for each year.

Results

Three-class models best fit the data and were most interpretable. Each year included Healthy or Physically Active (preventive behaviors, no risk behaviors), Apathetic (no preventive/risk behaviors), and Binge-drinking groups. Gender and age consistently distinguished the Healthy/Physically Active groups from the Apathetic and Binge-drinking groups across the years.

Conclusions

This study confirms health behavior clusters exist and have been stable across time. This is encouraging as trends have not gotten worse, but there is room for improvement. Repetition of the groups across years suggests that despite population-level interventions, a large segment of the U.S. population at risk for chronic diseases are not engaging in preventive health.

Patterns of Cancer-Related Risk Behaviors Among Construction Workers in Hong Kong: A Latent Class Analysis Approach

Background

Hong Kong's construction industry currently faces a manpower crisis. Blue-collar workers are a disadvantaged group and suffer higher levels of chronic diseases, for example, cancer, than the wider population. Cancer risk factors are likely to cluster together. We documented prevalence of cancer-associated lifestyle risk behaviors and their correlates among Hong Kong construction workers.

Methods

Data were collected from workers at 37 railway-related construction worksites throughout Hong Kong during May 2014. Tobacco use, alcohol consumption, unbalanced nutrition intake, and physical inactivity were included in the analysis. Latent class analysis and multivariable logistic regression were performed to identify the patterns of risk behaviors related to cancer, as well as their impact factors among construction workers in Hong Kong.

Results

Overall, 1,443 workers participated. Latent class analysis identified four different behavioral classes in the sample. Fully adjusted multiple logistic regression identified age, gender, years of Hong Kong residency, ethnicity, educational level, and living status differentiated behavioral classes.

Conclusion

High levels of lifestyle-related cancer-risk behaviors were found in most of the Hong Kong construction workers studied. The present study contributes to understanding how cancer-related lifestyle risk behaviors cluster among construction workers and relative impact factors of risk behaviors. It is essential to tailor health behavior interventions focused on multiple risk behaviors among different groups for further enlarging the effects on cancer prevention.

Latent Class Analysis of Low Birth Weight and Preterm Delivery among Australian Women

OBJECTIVES

To identify patterns of health, socioeconomic, behavioral, and psychosocial indicators that may be associated with low birth weight delivery or preterm birth.

STUDY DESIGN

Data were analyzed from the Australian Longitudinal Study on Women's Health. A total of 9075 live singleton births among 3801 women were linked to state perinatal records with birth outcome data. Survey data were used to identify 11 indicators for latent class analysis. Latent classes were tested for association to birth outcomes. These indicators also were used along with covariates in main effect multiple logistic regression analyses of birth outcomes.

RESULTS

Latent class analysis revealed 5 classes, including those characterized by low education, recent drug use, stress/anxiety/depression, smoking/drinking/low education/multi-risk, and a low risk referent group. The stress/anxiety/depression class was associated with preterm delivery (OR 1.87, 95% CI 1.20-2.92), and the smoking/drinking/low education/multirisk class was associated with low birth weight (OR 1.54, 95% CI 1.02-2.30). Traditional logistic regression analyses for main effects identified some measures not captured by the latent classes, and the latent classes identified variable combinations not captured by the main effect analysis.

CONCLUSIONS

Unique latent classes were associated with preterm delivery vs low birth weight. Both latent class analysis and main effects analyses may be combined to improve understanding of birth outcome risks. Clinical and programmatic interventions to reduce risks of low birth weight and preterm delivery may benefit from risk profiles that women experience.

Coaction Between Physical Activity and Fruit and Vegetable Intake in Racially Diverse, Obese Adults

PURPOSE

There is minimal understanding of the potential for coaction, defined as action on one behavior increasing the likelihood of taking action on another behavior, between physical activity (PA) and fruit and vegetable (FV) intake. The purpose of this study was to assess the bidirectional coaction between FV intake and PA, as well as self-efficacy for these behaviors, in a racially diverse sample of obese adults.

DESIGN

This is a secondary analysis using data collected from the Path to Health study, a randomized controlled trial. ClinicalTrials.gov Identifier: NCT03674229.

SAMPLE

Obese adults who completed baseline and 6-month follow-up assessments.

MEASURES

For this study, data on FV intake, leisure time PA, and 7-day accelerometer data were analyzed at baseline and 6-month follow-up.

ANALYSIS

We interchanged modeling the FV intake and PA change variables as the independent and dependent variables. We conducted multiple imputation and both linear and multinomial regression.

RESULTS

The sample (n = 168) was 59% female and mainly split between white (42%) and African American (42%). Change in self-efficacy for PA was predictive of change in self-efficacy for FV intake and vice versa. When compared with participants with no change in FV intake, someone with a positive change in FV intake was more likely to have a positive change in self-reported PA (adjusted risk ratio [RR] = 6.72, 95% confidence interval [CI] = 1.69-26.68). Likewise, when compared with no change, participants with a positive change in self-reported PA were more likely to report a positive change in FV intake (adjusted RR = 6.79, 95% CI = 1.70-27.17).

CONCLUSION

Findings suggest coaction between self-efficacy for FV intake and PA as well as between FV intake and PA. Coaction could be capitalized on to more effectively promote both energy-balance behaviors.

Stability and Change in Health Behavior Profiles of U.S. Adults

OBJECTIVES

While understanding of complex within-person clustering of health behaviors into meaningful profiles of risk is growing, we still know little about whether and how U.S. adults transition from one profile to another as they age. This study assesses patterns of stability and change in profiles of tobacco and alcohol use and body mass index (BMI).

METHOD

A nationally representative cohort of U.S. adults 25 years and older was interviewed up to 5 times between 1986 and 2011. Latent transition analysis (LTA) models characterized the most common profiles, patterning of transitions across profiles over follow-up, and assessed whether some were associated with higher mortality risk.

RESULTS

We identified 5 profiles: "health promoting" with normal BMI and moderate alcohol consumption; "overweight"; "current smokers"; "obese"; and "nondrinkers". Profile membership was largely stable, with the most common transitions to death or weight gain. "Obese" was the most stable profile, while "smokers" were most likely to transition to another profile. Mortality was most frequent in the "obese" and "nondrinker" profiles.

DISCUSSION

Stability was more common than transition, suggesting that adults sort into health behavior profiles relatively early. Women and men were differently distributed across profiles at baseline, but showed broad similarity in transitions.

Relationship between Morbidity and Health Behavior in Chronic Diseases

This study aimed to analyze the demographic characteristics and health behaviors related to chronic diseases and to identify factors that may affect chronic diseases. Data from the Seventh Korea National Health and Nutrition Examination Survey were used, and 3795 adults aged above 40 years were included. The following demographic variables were obtained: sex, age, education, income, type of health insurance, and private insurance. The following health behavior factors were also analyzed: medical checkup, drinking, smoking, exercise, obesity, and hypercholesterolemia. Participants with lower socioeconomic status had a higher risk of developing chronic diseases. Meanwhile, those with private health insurance had a lower risk of developing chronic diseases. In addition, participants who underwent medical checkups and performed exercises had a lower risk, while those with obesity and hypercholesterolemia had a higher risk of developing chronic diseases. It is necessary to manage chronic diseases through comprehensive programs, rather than managing these diseases individually, and through community primary care institutions to improve health behaviors.

Cluster patterns of behavioural risk factors among children: Longitudinal associations with adult cardio-metabolic risk factors

Much of what is known about childhood clusters of cardiovascular disease behavioural risk factors (RFs) comes from cross-sectional studies, providing little insight into the long-term health impacts of different behavioural cluster profiles. This study aimed to establish the longitudinal relationship between cluster patterns of childhood behavioural RFs and adult cardio-metabolic RFs. Data were from an Australian prospective cohort study of 1265 participants measured in 1985 (ages 9-15 yrs), and in 2004-06 (ages 26-36 yrs). At baseline, children self-reported smoking status, alcohol consumption, physical activity (PA), dietary behaviour and psychological well-being. At follow-up, participants completed questionnaires and attended study clinics where the following component indicators of the metabolic syndrome (MetS) score were measured: waist circumference, blood pressure, fasting blood glucose and lipids. TwoStep cluster analyses were carried out to identify clusters in childhood. Linear regression was used to examine the longitudinal associations between cluster patterns of childhood behavioural RFs and adult cardio-metabolic RFs. Four childhood cluster patterns of behavioural RFs labelled 'most healthy', 'high PA', 'most unhealthy', and 'breakfast skippers' were identified. The unhealthier childhood clusters predicted a significantly higher adult MetS score ('most unhealthy': β = 0.10, 95%CI = 0.01, 0.19) and adult waist circumference ('most unhealthy': β = 2.29, 95%CI = 0.90, 6.67; 'breakfast skippers': β = 2.15, 95%CI = 0.30, 4.00). These associations were independent of adult behavioural RFs and socio-economic position. These findings emphasise the impact of multiple childhood behavioural RFs on important adult health outcomes and may be useful for the development of early intervention strategies, where identification of children at higher risk of poorer adult cardio-metabolic health is vital.