Health Behavior Factors Research Articles

The impact of Life's Essentials 8 on sarcopenia prevalence among adults in the United States.

Sarcopenia is closely associated with cardiovascular disease. We aimed to examine the association of Life's Essential 8 (LE8), the recently updated measurement of cardiovascular health (CVH), with the presence of sarcopenia among US adults. This population-based cross-sectional study used data from the National Health and Nutrition Examination Survey in 2005-2006 and 2011-2018, and included adults aged 20 years or older. LE8 score was measured according to American Heart Association definitions. Sarcopenia was measured according to the National Institutes of Health definition, the ratio of appendicular skeletal muscle mass (ASM) to body mass index (BMI). Multivariable logistic and restricted cubic spline models were used to assess the associations between LE8 and sarcopenia. Among the 11,078 participants, 1021 (9.22 %) were diagnosed with sarcopenia. After adjusting for potential confounders, higher LE8, health behavior and health factors scores were associated with reduced odds ratios (OR) of sarcopenia (OR for per 10 scores increase in LE8, 0.65; 95 % CI 0.61-0.70; OR for per 10 scores increase in health behaviors score, 0.90; 95 % CI 0.84-0.97; OR for per 10 scores increase in health factors score, 0.67; 95 % CI 0.63-0.71). A non-linear dose-response relationship was observed between LE8 scores, health factors scores, and sarcopenia. The inversed association between LE8 score and sarcopenia was significantly stronger among males and participants with a high school education or above. LE8 was negatively associated with the prevalence of sarcopenia in a nonlinear fashion. Promoting adherence to optimal CVH levels may benefit to reduce the risk of sarcopenia.

Impacts of chronic diseases and multimorbidity on health-related quality of life among community-dwelling elderly individuals in economically developed China: evidence from cross-sectional survey across three urban centers

ObjectiveAs the ageing process in China further accelerates and the average life expectancy increases, chronic disease prevalence and multimorbidity rates are constantly rising, especially among elderly individuals. However, few previous studies have explored the impacts of chronic diseases and multimorbidity on health-related quality of life (HRQoL). This study aimed to investigate this association among community-dwelling elderly individuals in China.MethodsA cross-sectional study was conducted in communities in three cities (Suzhou, Qingdao, and Guangzhou). The basic characteristics, chronic diseases and HRQoL of participants were collected, and HRQoL was measured by the EuroQol 5-Dimensions 3-Level version (EQ-5D-3L). Logistic regression, Tobit regression and generalized linear models were used to assess the impacts of chronic diseases and multimorbidity on HRQoL.ResultsApproximately 83.2 percent of the 1,218 respondents had chronic conditions, with 30 percent having multimorbidity. After controlling for sociodemographic and health behaviour factors, patients with stroke were more likely to report problems in all five dimensions of the EQ-5D and had a lower EQ-5D utility index (UI) (b = -0.342) than patients with other chronic conditions. Patients with chronic pulmonary obstruction had a lower EuroQol Visual Analog Scale (EQ-VAS) (b = -11.169) than patients with other chronic conditions. Furthermore, patients with multimorbidity had worse HRQoL (P < 0.001).ConclusionsBoth chronic condition probability and multimorbidity rates were high among Chinese community-dwelling elderly individuals. Different disease types had varying degrees of impact on HRQoL, and patients with multimorbidity had worse HRQoL. This study proposes that the government enhance the quality of life of community-dwelling elderly individuals with multimorbidity by establishing long-term care insurance and expanding comprehensive community-based home health care services.

Social Media Exposure and Other Correlates of Increased e-Cigarette Use Among Adolescents During Remote Schooling: Cross-Sectional Study.

Little is known about the role of exposure to e-cigarette-related digital content, behavioral and mental health factors, and social environment on the change in adolescent e-cigarette use during COVID-19 shelter-in-place orders and remote schooling. The aim of the study was to examine changes in adolescent e-cigarette use during shelter-in-place and remote schooling in association with exposure to e-cigarette-related digital content and other correlates: stronger e-cigarette dependence, feeling lonely, inability to socialize, e-cigarette use to cope with shelter-in-place, and the number of family members aware of participants' e-cigarette use. A cross-sectional survey conducted between August 2020 and March 2021 included 85 California adolescents (mean age 16.7, SD 1.2 years; 39/85, 46% identified as female and 37/85, 44% as Hispanic) who reported e-cigarette use in the past 30 days. Multivariable penalized logistic regressions determined associations adjusted for age, race and ethnicity, and mother's education. The outcome of increased e-cigarette use was defined as more frequent use of e-cigarettes of the same or stronger nicotine or tetrahydrocannabinol concentration. Almost all respondents (83/85, 98%) reported using social media more since shelter-in-place, and 74% (63/85) reported seeing e-cigarette digital content. More than half (46/85, 54%) reported increased e-cigarette use during shelter-in-place. Most individuals who increased use were exposed to e-cigarette digital content (38/46, 83%) compared to those who did not increase e-cigarette use (25/39, 64%), but the association was nonsignificant after adjusting for demographics (adjusted odds ratio [AOR] 2.34, 95% CI 0.71-8.46). Respondents who felt lonely (AOR 3.33, 95% CI 1.27-9.42), used e-cigarettes to cope with shelter-in-place (AOR 4.06, 95% CI 1.39-13.41), or had ≥2 family members aware of participants' e-cigarette use (AOR 6.42, 95% CI 1.29-39.49) were more likely to report increased e-cigarette use. Almost all participants reported using social media more during shelter-in-place, with many respondents reporting increased e-cigarette use, and significant associations with loneliness and use to cope with shelter-in-place. Future interventions should consider leveraging digital platforms for e-cigarette use prevention and cessation and address the mental health consequences of the COVID-19 pandemic.

Behavioral factors associated with medication adherence among hypertensive patients using the theoretical domains framework

BackgroundTheoretical exploration of the behavioral factors associated with adherence to medication in hypertensive patients has been limited in previous studies. ObjectivesThis study aims to understand the associations between demographic and health characteristics and behavioral factors for medication taking, and how these predict medication adherence. MethodsA cross-sectional survey was conducted in hypertensive outpatients, with a sample size of 399 participants. Behavioral factors predicting medication taking, designed to align with the theoretical domains framework, and the medication adherence scale were used. Behavioral factors were determined using principal component analysis, and their associations with demographic and health characteristics and medication adherence were analyzed using non-parametric statistics. ResultsFour behavioral factors were identified: (F1) negative emotions and beliefs about capabilities, (F2) beliefs about consequences, (F3) knowledge and skills, and (F4) social support. F1 showed a strongest inverse association with medication adherence (ρ = −0.25; p < 0.01). Significantly higher F1 scores were recorded in hypertensive patients with secondary school or lower education (p < 0.001), income less than 4 million VND (p = 0.03), who were currently smoking (p = 0.018), self-reporting chest pain or discomfort (p < 0.001), and of older age (p < 0.01). ConclusionsCertain demographic and health characteristics were significantly associated with emotions and beliefs about capabilities to take medication, which, in turn, was significantly associated with medication adherence. Future research should design interventions that focus on reassuring patients of the need and of their ability to overcome their worries and sadness and reduce their difficulties in using medications.

Prevalence of dentinal hypersensitivity and related factors in Chinese urban adults

Objective: To assess the prevalence of dentinal hypersensitivity (DH) and related factors in urban adults in China. Methods: The study was designed as an observational, cross-sectional epidemiological study carried out in adults aged 18-69 years old in seven cities (Beijing, Shanghai, Wuhan, Chengdu, Xi'an, Guangzhou, and Harbin) of China. The study was conducted from March 2021 to May 2023. Patients were required to complete a questionnaire regarding the subjects' socio-economic factors, dietary behavior, oral health behavior and personal antecedent factors. DH was clinically diagnosed by judging whether the tooth cold air stimulation provoked DH or not, and recorded by investigator pain rating Schiff score. Compare the findings of six cities (Harbin excluded) with a similar study conducted in 2008. Results: In total, 11 622 subjects from seven cities in China participated the study. Fifty two point two percent (6 072/11 622) of subjects reported DH in questionnaire, 36.7% (4 266/11 622) of subjects reported experiencing DH in response to cold air stimulation for at least one study tooth. Risk factors including age, sex, city, toothbrush method and acid reflux showed marked associations with DH (P<0.05). The prevalence of DH of urban residents in six cities (Harbin excluded) was 33.7% (3 335/9 882), higher than that in 2008 [29.7%(2 354/7 939)]. Conclusions: Overall, DH was common among urban adults in China and the prevalence increased in recent years. Better understanding of DH and its associated factors should be considered in its prevention and management by dental professionals.

Rural-urban Migration and Overweight Status in Low- and Middle-income Countries: Evidence from Longitudinal Data in Indonesia

With rapid urbanization and intensive rural-urban migration, being overweight has become an increasingly common source of health risks in low- and middle-income countries (LMICs). However, the impact of rural-urban migration on overweight status is understudied in the LMIC context. Previous studies primarily used cross-sectional data, failing to adjust for migration health selection. Furthermore, the potential gender pattern in the impact of rural-urban migration remained unclear, and the potential cumulative effect of the duration of urban residence among migrants was rarely examined with longitudinal data. Meanwhile, the mediating effects of health behavioral factors were poorly understood. Using data from the fourth and fifth waves of the Indonesia Family Life Survey (IFLS) and employing fixed-effects (FE) models (N=7267), this study provided new evidence on the impact of rural-urban migration on overweight status across time and gender. Findings suggest that rural-urban migration significantly and positively predicted being overweight, and the association was significantly stronger among women than men. The results also show that years lived in urban areas did not significantly predict overweight among migrants, and that mediating health-related behaviors did little to explain adverse weight outcomes of migrants. As the number of rural-urban migrants continues growing, LMIC governments should implement health interventions aiming for healthy weight status among migrant communities. Meanwhile, gender-specific programs targeting women should be considered. Future research should explore other potential mediators of the link between rural-urban migration and overweight.

Oral Health in Tanzania: Unmasking Its Neglected Dimension

ABSTRACTThe World Health Organization's definition of oral health underscores its holistic nature encompassing physiological, psychosocial, and functional dimensions. The current estimates of oral diseases in Tanzania and around the world underscore the urgency of intervention, particularly in light of rising sugar consumption trends. The unique challenges facing Tanzania, including inadequate knowledge, limited infrastructure, and disparities in oral healthcare access, are analyzed within the broader context of sub‐Saharan Africa's health priorities. This article addresses the multifaceted challenges of oral health neglect in Tanzania, emphasizing the imperative need for a comprehensive and integrated approach. The discussion offers a detailed exploration of determinants contributing to oral health neglect, spanning socioeconomic, behavioral, and commercial factors, with a focus on their implications for Tanzanian communities. Recommendations are presented as a strategic roadmap, encompassing public health education, integrated healthcare services, government intervention, educational programs, community engagement, financial accessibility, and research initiatives. By synthesizing these recommendations into a cohesive framework, a proactive and collaborative approach to mitigate the consequences of oral health neglect in Tanzania, emphasizing the need for transformative policies and cultural sensitivity, is therefore envisioned.

How does chronic disease influence subjective life expectancy among middle-aged and older adults? Evidence from the China Health and Retirement Longitudinal Study (CHARLS) 2018 cross-sectional data.

Chronic diseases have become one of the most important factors threatening human health. Subjective life expectancy (SLE) describes an individual's expectation or subjective perception of lifespan. This article aims to explore the relationship between chronic diseases and SLE, as well as the differences among different age groups and different types of chronic diseases in this relationship. China Health and Retirement Longitudinal Study (CHARLS) is a nationwide longitudinal study that evaluates the social, economic, and health conditions of middle-aged and older adult families and individuals aged 45 and above in China. In this study, CHARLS used probability proportional to size sampling (PPS sampling) to ensure the breadth and representativeness of the sample. This study selected cross-sectional data from CHARLS 2018, removed missing values, and obtained a valid sample of 10,658 middle-aged and older individuals, of whom 8564 had chronic diseases. After controlling demographic, health behavior, socioeconomic, psychological, and social security factors, an ordered logistic regression was performed to explore the relationship between chronic disease and SLE in middle-aged and older adults. The results show that chronic diseases negatively correlate with SLE in middle-aged and older adults. Middle-aged and older adults with chronic diseases are 36.2% less likely to have high life expectancy than those without chronic diseases. Many different types of chronic diseases are negatively correlated with SLE. Cancer is most negatively correlated with SLE, far exceeding other chronic diseases. Chronic disease and SLE of middle-aged and older adults have age-heterogeneous differences. For middle-aged people aged 45-59 and young older adults aged 60-79, there is a significant correlation between chronic diseases and SLE. However, there is no correlation between chronic diseases and subjective life expectancy in the older population aged 80 and above. The government and society should pay close attention to the prevention and treatment of chronic diseases among middle-aged and older adults and adjust policies and measures according to the population's age structure. In addition, the government and society should pay attention to the spiritual needs of middle-aged and older adults. The government and society should pay more attention to cancer patients. Finally, the scientific research team should also strengthen research on chronic diseases, research and development of specific drugs and vaccines, improve the cure rate of chronic diseases, promote people's health, and make people no longer afraid of diseases.

Association between Life's Essential 8 and cognitive function among older adults in the United States

The American Heart Association (AHA) recently redefined cardiovascular health (CVH) with the introduction of Life's Essential 8 (LE8), which encompasses eight areas (diet, physical activity, nicotine exposure, sleep duration body mass index, non-HDL cholesterol, blood glucose, and blood pressure). This study aimed to explore the relationships between both the aggregate and individual CVH metrics, as defined by Life's Essential 8, and cognitive function in older adults in the United States. This cross-sectional, population-based study analyzed data from the National Health and Nutrition Examination Survey conducted between 2011 and 2014, focusing on individuals aged 60 years and older. CVH was categorized as low (0–49), moderate (50–79), or high (80–100). Cognitive function was assessed through the CERAD tests, Animal Fluency test, and Digit Symbol Substitution test. Multivariable logistic models and restricted cubic spline models were employed to investigate these associations. This study included a total of 2279 older adults in the United States. Only 11% of adults achieved a high total CVH score, while 12% had a low score. After further adjustment for potential confounding factors, higher LE8 scores were significantly associated with higher scores on CERAD: delayed recall score (0.02[0.01, 0.03]; P < 0.001), CERAD: total score (3 recall trials) (0.04[0.02, 0.06]; P < 0.001), animal fluency: total score (0.09[0.05, 0.12]; P < 0.001), and digit symbol: score (0.29[0.18, 0.41]; P < 0.001), demonstrating a linear dose–response relationship. Similar patterns were also observed in the associations between health behavior and health factor scores with cognitive function tests. LE8 scores exhibited positive linear associations with cognitive function. Maintaining better levels of CVH may be associated with higher levels of cognitive function in older Americans, but further research is needed to confirm the causal and temporal relationships between LE8 and cognitive function.

Health behaviour and wellbeing trends among Australian adults before and during the COVID-19 pandemic (2017–2022): An interrupted time-series analysis

ObjectiveTo explore population-level trends in health behaviours and wellbeing indicators from before (2017–2019) to during (2020–2022) the COVID-19 pandemic in Australia. MethodsUsing cross-sectional data from New South Wales Adult Population Health Surveys (2017–2022, n = 73,680 responses), we calculated weighted prevalence estimates and interrupted time-series logit models to investigate trends in health behavioural risk factors (vegetable and fruit intake, physical activity, alcohol consumption, smoking, e-cigarette use), Body Mass Index (BMI) (overweight and obesity), and wellbeing indicators (psychological distress, self-rated health) among adults aged ≥ 16 years before and during the pandemic. ResultsFrom 2017 to 2022, the behavioural risk factors and BMI trends were mostly unchanged. Similarly, wellbeing indicator trends showed only minor variations according to age. The interrupted time-series models found marked changes from before to during the COVID-19 pandemic for e-cigarette use and self-rated health. E-cigarette use showed an overall increasing trend, with significant increases from 2017 to 2022 (OR 8.25, 95 %CI 6.10–11.16). Poor self-rated health showed a stable trend before COVID-19, but decreased in 2020 (OR 0.68, 95 %CI 0.58–0.80) and 2021 (OR 0.70, 95 %CI 0.60–0.81), returning to pre-COVID levels in 2022 (OR 1.23, 95 %CI 1.07–1.41). During the pandemic (2020–2022), there were few statistically significant observed changes in prevalence trends according to SES indicators. ConclusionAmong Australian adults, relatively small population-level impacts of the COVID-19 pandemic on health behaviours and wellbeing trends were observed. Continued surveillance and sub-group analyses are essential for investigating potential time-lagged effects and regional or sociodemographic differences in health behaviours and wellbeing.

Socio-economic inequalities in the use of flu vaccination in Europe: a multilevel approach

BackgroundThe European-wide statistics show that the use of flu vaccination remains low and the differences between countries are significant, as are those between different population groups within each country. Considerable research has focused on explaining vaccination uptake in relation to socio-economic and demographic characteristics, health promotion and health behavior factors. Nevertheless, few studies have aimed to analyze between-country differences in the use of flu vaccination for the EU population. To address this gap, this study examines the socio-economic inequalities in the use of influenza vaccination for the population aged 15 years and over in all 27 EU Member States and two other non-EU countries (Iceland and Norway).MethodsUsing data from the third wave of European Health Interview Survey (EHIS) 2019, we employed a multilevel logistic model with a random intercept for country, which allows controlling simultaneously the variations in individuals’ characteristics and macro-contextual factors which could influence the use of flu vaccination. In addition, the analysis considers the population stratified into four age groups, namely adolescents, young adults, adults and elderly, to better capture heterogeneities in flu vaccination uptake.ResultsThe main findings confirm the existence of socio-economic inequalities between individuals in different age groups, but also of significant variation between European countries, particularly for older people, in the use of influenza vaccination. In this respect, income and education are strong proxy of socio-economic status associated with flu vaccination uptake. Moreover, these disparities within each population group are also explained by area of residence and occupational status. Particularly for the elderly, the differences between individuals in vaccine utilization are also explained by country-level factors, such as the type of healthcare system adopted in each country, public funding, personal health expenditure burden, or the availability of generalist practitioners.ConclusionsOverall, our findings reveal that vaccination against seasonal influenza remains a critical public health intervention and bring attention to the relevance of conceiving and implementing context-specific strategies to ensure equitable access to vaccines for all EU citizens.

Summary Measure of Health-Related Quality of Life and Its Related Factors Based on the Chinese Version of the Core Healthy Days Measures: Cross-Sectional Study.

The core Healthy Days measures were used to track the population-level health status in the China Chronic Disease and Risk Factor Surveillance; however, they were not easily combined to create a summary of the overall health-related quality of life (HRQOL), limiting this indicator's use. This study aims to develop a summary score based on the Chinese version of the core Healthy Days measures (HRQOL-5) and apply it to estimate HRQOL and its determinants in a Chinese population. From November 2018 to May 2019, a multistage stratified cluster survey was conducted to examine population health status and behavioral risk factors among the resident population older than 15 years in Weifang City, Shandong Province, China. Both exploratory factor analyses and confirmatory factor analyses were performed to reveal the underlying latent construct of HRQOL-5 and then to quantify the overall HRQOL by calculating its summary score. Tobit regression models were finally carried out to identify the influencing factors of the summary score. A total of 26,269 participants (male: n=13,571, 51.7%; mean age 55.9, SD 14.9 years) were included in this study. A total of 71% (n=18,663) of respondents reported that they had excellent or very good general health. One summary factor was extracted to capture overall HRQOL using exploratory factor analysis. The confirmatory factor analysis further confirmed this one-factor model (Tucker-Lewis index, comparative fit index, and goodness-of-fit index >0.90; root mean square error of approximation 0.02). Multivariate Tobit regression analysis showed that age (β=-0.06), educational attainments (primary school: β=0.72; junior middle school: β=1.46; senior middle school or more: β=2.58), average income (≥¥30,000 [US $4200]: β=0.69), physical activity (β=0.75), alcohol use (β=0.46), self-reported disease (β=-6.36), and self-reported injury (β=-5.00) were the major influencing factors on the summary score of the HRQOL-5. This study constructs a summary score from the HRQOL-5, providing a comprehensive representation of population-level HRQOL. Differences in summary scores of different subpopulations may help set priorities for health planning in China to improve population HRQOL.

Constructing prediction models and analyzing factors in suicidal ideation using machine learning, focusing on the older population.

Suicide among the older population is a significant public health concern in South Korea. As the older individuals have long considered suicide before committing suicide trials, it is important to analyze the suicidal ideation that precedes the suicide attempt for intervention. In this study, six machine learning algorithms were employed to construct a predictive model for suicidal thinking and identify key variables. A traditional logistic regression analysis was supplementarily conducted to test the robustness of the results of machine learning. All analyses were conducted using a hierarchical approach to compare the model fit of each model in both machine learning and logistic regression. Three models were established for analysis. In Model 1, socioeconomic, residential, and health behavioral factors were incorporated. Model 2 expanded upon Model 1 by integrating physical health status, and Model 3 further incorporated mental health conditions. The results indicated that the gradient boosting algorithm outperformed the other machine learning techniques. Furthermore, the household income quintile was the most important feature in Model 1, followed by subjective health status, oral health, and exercise ability in Model 2, and anxiety and depression in Model 3. These results correspond to those of the hierarchical logistic regression. Notably, economic and residential vulnerabilities are significant factors in the mental health of the older population with higher instances of suicidal thoughts. This hierarchical approach could reveal the potential target population for suicide interventions.

Association between life’s essential 8 and metabolic dysfunction-associated steatotic liver disease among US adults

BackgroundMetabolic dysfunction-associated steatotic liver disease(MASLD) is the most common cause of chronic liver disease. Clinical evidences have demonstrated the link between MASLD and the increased risk of cardiovascular disease (CVD) development. We aimed to investigate the relationship between Life’s Essential 8 (LE8), an enhanced approach to assessing cardiovascular health(CVH), and MASLD.MethodsData were extracted from the National Health and Nutrition Examination Survey (NHANES) in 2017–2020 cycles. MASLD was assessed by the latest diagnostic criteria. LE8 scores (range 0–100) were obtained from measurements based on American Heart Association definitions, divided into health factor and health behavior scores. Multivariable logistic and restricted cubic spline models were used to assess the associations.Results5646 participants were included based on the inclusion and exclusion criteria, 2616 (46.33%) participants were diagnosed with MASLD. After adjusting for confounding variables, higher LE8 scores were associated with a lower risk of MASLD (OR = 0.19, 95%CI 0.17–0.21; P < 0.001), similar associations were also observed between health behavior and health factor scores with MASLD. Subgroup analyses illustrated that the negative association between LE8 score and MASLD was stronger among younger, non − Hispanic White, and never married participants.ConclusionsIn this nationally representative sample of U.S. adults, LE8 scores, health behavior scores, and health factor scores were negatively associated with the prevalence of MASLD in non-linear fashions. Subjects maintaining ideal health factors and health behaviors are less likely to develop MASLD. Public health policies are needed to advocate healthy behaviors and factors.

Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact-Tracing Apps: Cross-Sectional Survey Study.

In pandemic situations, digital contact tracing (DCT) can be an effective way to assess one's risk of infection and inform others in case of infection. DCT apps can support the information gathering and analysis processes of users aiming to trace contacts. However, users' use intention and use of DCT information may depend on the perceived benefits of contact tracing. While existing research has examined acceptance in DCT, automation-related user experience factors have been overlooked. We pursued three goals: (1) to analyze how automation-related user experience (ie, perceived trustworthiness, traceability, and usefulness) relates to user behavior toward a DCT app, (2) to contextualize these effects with health behavior factors (ie, threat appraisal and moral obligation), and (3) to collect qualitative data on user demands for improved DCT communication. Survey data were collected from 317 users of a nationwide-distributed DCT app during the COVID-19 pandemic after it had been in app stores for >1 year using a web-based convenience sample. We assessed automation-related user experience. In addition, we assessed threat appraisal and moral obligation regarding DCT use to estimate a partial least squares structural equation model predicting use intention. To provide practical steps to improve the user experience, we surveyed users' needs for improved communication of information via the app and analyzed their responses using thematic analysis. Data validity and perceived usefulness showed a significant correlation of r=0.38 (P<.001), goal congruity and perceived usefulness correlated at r=0.47 (P<.001), and result diagnosticity and perceived usefulness had a strong correlation of r=0.56 (P<.001). In addition, a correlation of r=0.35 (P<.001) was observed between Subjective Information Processing Awareness and perceived usefulness, suggesting that automation-related changes might influence the perceived utility of DCT. Finally, a moderate positive correlation of r=0.47 (P<.001) was found between perceived usefulness and use intention, highlighting the connection between user experience variables and use intention. Partial least squares structural equation modeling explained 55.6% of the variance in use intention, with the strongest direct predictor being perceived trustworthiness (β=.54; P<.001) followed by moral obligation (β=.22; P<.001). Based on the qualitative data, users mainly demanded more detailed information about contacts (eg, place and time of contact). They also wanted to share information (eg, whether they wore a mask) to improve the accuracy and diagnosticity of risk calculation. The perceived result diagnosticity of DCT apps is crucial for perceived trustworthiness and use intention. By designing for high diagnosticity for the user, DCT apps could improve their support in the action regulation of users, resulting in higher perceived trustworthiness and use in pandemic situations. In general, automation-related user experience has greater importance for use intention than general health behavior or experience.

Association between life's essential 8 and testosterone deficiency in US men: findings from national health and nutrition examination survey (NHANES) 2011-2016.

Testosterone deficiency (TD) is closely associated with cardiovascular diseases (CVD). We intended to explore the association of Life's Essential 8 (LE8), the recently updated measurement of cardiovascular health, with the prevalence of TD among US male adults. The population-based cross-sectional study selected male adults aged 20 years or older from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016. According to the American Heart Association definitions, the LE8 score was measured on a scale of 0-100, and divided into health behavior and health factor scores, simultaneously. Furthermore, these scores were categorized into low (0-49), moderate (50-79), and high (80-100) classifications. TD is defined as a total testosterone level below 300ng/dL. Correlations were investigated by weighted multivariable logistic regression, and the robustness of the results were verified by subgroup analysis. A total of 4971 male adults with an average age of 47.46 ± 0.41 years were eligible for the final analyses, of whom 1372 were determined to have TD. The weighted mean LE8 score of the study population was 68.11 ± 0.41. After fully adjusting potential confounders, higher LE8 scores were significantly associated with low risk of TD (odd ratio [OR] for each 10-point increase, 0.79; 95% CI, 0.71-0.88) in a linear dose-response relationship. Similar patterns were also identified in the association of health factor scores with TD (OR for each 10-point increase, 0.74; 95% CI, 0.66-0.83). These results persisted when LE8 and health factor scores was categorized into low, moderate, and high groups. The inversed association of LE8 classifications and TD remained statistically significant among older, obese, and men without CVD. LE8 and its health factor subscales scores were negatively associated with the presence of TD in linear fashions. Promoting adherence to optimal cardiovascular health levels may be advantageous to alleviate the burden of TD.

A Randomized Clinical Trial of a Quitline Vaping Cessation Intervention: Baseline Characteristics of Young Adult Exclusive E-Cigarette Users Seeking Treatment.

Despite interest in quitting vaping among young adults (YAs), little is known about characteristics of e-cigarette (EC) users seeking treatment. In this study, YAs aged 18-24 living in the United States interested in vaping cessation treatment were recruited to complete an online survey regarding demographics and EC use. Primary eligibility criteria were EC use on at least 20 days per month (no other tobacco use), and interest in quitting in the next month. We report descriptive statistics for those who did and did not complete a mandatory coaching call (n = 981). In this sample, most EC users reported high nicotine dependence, a history of unsuccessful quit attempts (including 29.4% with previous NRT use), along with stress, anxiety, and depression. There were few meaningful differences in demographics, EC use behaviors, or behavioral health factors between those who engaged with a phone coaching call (fully enrolled in study; n = 508), and those who did not (n = 473). YAs demonstrated interest in vaping cessation support, but there were no clear characteristics for the half who did not complete a coaching call. Vaping cessation program designers should consider tailoring for the self-reported behavioral health concerns present in this population.

Association of the American Heart Association’s new “Life’s Essential 8” with all-cause mortality in patients with chronic kidney disease: a cohort study from the NHANES 2009–2016

BackgroundPeople with chronic kidney disease (CKD) are more likely to die prematurely, and this increased risk of death is primarily attributable to deaths from cardiovascular disease (CVD). We aim to investigate the relationship between Life’s Essential 8 (LE8), a newly proposed cardiovascular health (CVH) measurement system, and all-cause mortality of CKD patients among US adults.MethodsA total of 3,169 CKD patients aged 20 and older from the National Health and Nutritional Examination Survey in 2009–2016 were involved in this study. Participants were divided into low (0–49), moderate (50–79) and high (80–100) CVH groups according to LE8 score (range 0-100). The mortality was ascertained from the National Death Index. Cox proportional hazards regression and restricted cubic spline were used to investigate the relationship.ResultsAmong the 3,169 CKD patients, the median age was 66.0 (25.0) years and 1,671 (52.7%) were female, and the median follow-up time was 6.00 years. The median LE8 score of the study cohort was 57.5 (19.4). CKD patients with low CVH, health behavior (HB) and health factors (HF) scores presented with higher all-cause mortality (both log-rank P-values < 0.001). After adjusted for multiple confounders, patients in higher CVH group had a lower risk of all-cause mortality, with a HR (95%CI) of 0.32 (0.19–0.55). Similar results were observed in high HB group [HR 0.36 (0.25–0.50)]. The restricted cubic spline showed a significant inverse relationship between LE8, HB and HF scores with CKD all-cause mortality, while the protective effect seemed weaker for HF score. Above results remained robust in the sensitivity analysis. Stronger inverse associations were revealed in middle-aged patients and patients with higher education levels.ConclusionsLE8 and its subscales scores were inversely associated with all-cause mortality in patients with CKD. Promoting CVH in CKD patients is a potential way to improve their long-term survival rate.

Trends in cardiovascular health among US adults by glycemic status based on Life's Essential 8

ObjectiveWe aimed to assess the secular trends in cardiovascular health (CVH) among U.S. adults with different glycemic statuses based on the Life's Essential 8 (LE8). MethodsThis cross-sectional study used nationally representative data from 6 cycles of the National Health and Nutrition Examination Surveys between 2007 and 2018. Survey-weighted linear models were used to assess time trends in LE8 scores. Stratified analyses and sensitivity analyses were conducted to validate the stability of the results. ResultsA total of 23,616 participants were included in this study. From 2007 to 2018, there was no significant improvement in overall CVH and the proportion of ideal CVH among participants with diabetes and prediabetes. We observed an opposite trend between health behavior and health factors in the diabetes group, mainly in increasing physical activity scores and sleep scores (P for trend<0.001), and declining BMI scores [difference, −6.81 (95% CI, −12.82 to −0.80)] and blood glucose scores [difference, −6.41 (95% CI, −9.86 to −2.96)]. Dietary health remained at a consistently low level among participants with different glycemic status. The blood lipid scores in the prediabetes group improved but were still at a lower level than other groups. Education/income differences persist in the CVH of participants with diabetes or prediabetes, especially in health behavior factors. Sensitivity analyses of the absolute difference and change in proportion showed a consistent trend. ConclusionsTrends in CVH among participants with diabetes or prediabetes were suboptimal from 2007 to 2018, with persistent education/income disparities.

Predicting longitudinal changes in patterns of tobacco and nicotine product use among adolescents: A Latent Transition Analysis based on the X:IT study

IntroductionUnderstanding factors influencing the transition from non-use to tobacco and nicotine product initiation among adolescents is crucial for designing and implementing effective preventive strategies. This study explores transition patterns among 13–15-year-old adolescents in lower secondary school, focusing on the transition from non-use to tobacco and nicotine product initiation and the influence of individual, social, risk behavioral, and mental health factors on this transition. MethodsBased on data from a Danish smoking prevention trial between 2017 and 2019, this study employed questionnaire surveys at three time points: baseline (start of seventh grade, n = 1,990, response rate = 86.3%), eight-month follow-up (end of seventh grade, n = 1,666, response rate = 74,8%), and 20-month follow-up (end of eighth grade, n = 1,149, response rate = 70,6%). Tobacco and nicotine use indicators included current and lifetime use of cigarettes and lifetime use of e-cigarettes, smokeless tobacco, and hookah. A latent transition analysis was applied to identify longitudinal transition patterns across waves and to explore predictors of these patterns. ResultsThree user classes emerged across all waves: none-use, lifetime e-cigarette and cigarette use, and poly-tobacco use. While the most prevalent class was the non-user class (71%–86%), the proportion of the lifetime e-cigarette and cigarette class increased over time (from 12% to 17%). Similarly, the poly-tobacco user class increased from 2% to 12%. The probability of transitioning from non-use to lifetime e-cigarette and cigarette use increased from 0.5% at baseline to 12% by the second follow-up, while the probability of transitioning from lifetime e-cigarette and cigarette use remained stable over time (12%–15%). Across all waves, elevated risk behavior predicted this transition. For instance, binge-drinking (OR = 3.76, 95% CI: 1.51–9.34), susceptibility to smoking (OR = 7.63, 95% CI: 3.68–16.83), and truancy (OR = 7.00, 95% CI: 1.98–24.59) influenced the transition from non-use at baseline to lifetime e-cigarette and cigarette use at first follow-up. Additionally, boys, adolescents with low socioeconomic status, low life satisfaction, and those with smoking friends or parents were more likely to transition from non-use to lifetime e-cigarette and cigarette use. ConclusionThis study demonstrates that sociodemographic, social risk, behavioral, and mental health factors impact the transition from non-use to lifetime e-cigarette and cigarette use. The findings provide valuable insights for developing targeted preventive strategies focusing on these influencing factors.