Time to listen: a mixed-method study examining community-based views of mobile technology for interventions to promote physical activity

INTRODUCTION

A mixed-method, co-design approach to studying the adoption of mobile health (mHealth) technology among African-American (AA) women has not been fully explored. Qualitative data may contextualise existing knowledge surrounding perceptions of mHealth among AA women as part of formative work for designing a physical activity application (app).

METHODS

A convenience sample of 16 AA women completed an informatics survey prior to participating in focus groups exploring their use of mobile technology and health apps. Survey responses provided frequency data, while iterative transcript analysis of focus groups identified themes.

RESULTS

The majority of participants (mean age=62.1 years, SD=6.6) felt comfortable using a tablet/smartphone (75.0%). Most (68.8%) reported using health-related apps, primarily focused on physical activity and nutrition. Focus groups revealed four overarching concepts, including (1) user attachment, (2) technology adoption, (3) potential facilitators and (4) potential barriers. Important features which may serve as facilitators or barriers to future adoption of a mobile app for an mHealth intervention include individual app tailoring and software concerns, respectively.

DISCUSSION

Thematic analysis revealed high user attachment to smartphones and described participants' process for adopting new mHealth technology.

CONCLUSION

Early engagement of target end users as a part of a broader co-design and community-based participatory research process for developing mHealth technologies may be useful for sustained adoption of these tools in future mHealth behavioural interventions.

Physical activity-mediated associations between perceived neighborhood social environment and depressive symptoms among Jackson Heart Study participants

BACKGROUND

Little is known about the associations between perceived neighborhood social environment (PNSE) and depressive symptoms among African Americans. Furthermore, the role of physical activity (PA) as a mediator of this association has not been investigated. The two-fold objectives of this study, therefore, were (1) to examine the associations between PNSE and depressive symptoms among African Americans, and (2) to test the degree to which these associations were mediated by total PA.

METHODS

We used baseline data from the Jackson Heart Study (JHS), a single-site, prospective, community-based study of African-American adults (n = 2209) recruited from Jackson, Mississippi. PNSE variables included scores for neighborhood violence (i.e., higher score = more violence), problems (higher score = more problems), and social cohesion (higher score = more cohesion). Depressive symptoms were measured by the 20-item Center for Epidemiological Studies Depression (CES-D) score. First, multilevel modeling, controlling for census tract clustering effects, was used to estimate associations between each PNSE variable and CES-D score, adjusting for covariates, including demographic, health-related, and population density. Second, validated, self-reported total PA, based on active living, sport, and home indices, was tested as the mediator. Multivariable linear regressions with bootstrap-generated 95% bias-corrected confidence intervals (BC CIs) were estimated to test for significant unstandardized indirect effects, controlling for all covariates.

RESULTS

Our participants were 64.2% female with a mean age of 52.6 (SD = 12.2) and a mean CES-D score of 10.8 (SD = 8.1). In the fully-adjusted model, neighborhood violence and problems were positively related to depressive symptoms (B = 3.59, 95%CI = 0.93, 6.26, and B = 3.06, 95%CI = 1.19, 4.93, respectively). Neighborhood violence and problems were also indirectly related to depressive symptoms via total PA (B = 0.26, 95%BC CI = 0.05, 0.55; and B = 0.15, 95%BC CI = 0.02, 0.34, respectively). Social cohesion was neither directly nor indirectly related to depressive symptoms.

CONCLUSIONS

We found that higher levels of perceived neighborhood problems and violence were directly and positively associated with depressive symptoms. These associations may be explained in part by lower total PA levels. Future interventions to reduce depressive symptoms attributed to neighborhood features should consider emphasizing built environment features that facilitate PA increases in conjunction with community efforts to reduce neighborhood violence and problems.

Park Proximity and Use for Physical Activity among Urban Residents: Associations with Mental Health

Increasing global urbanization limits interaction between people and natural environments, which may negatively impact population health and wellbeing. Urban residents who live near parks report better mental health. Physical activity (PA) reduces depression and improves quality of life. Despite PA's protective effects on mental health, the added benefit of urban park use for PA is unclear. Thus, we examined whether park-based PA mediated associations between park proximity and mental distress among 3652 New York City residents (61.4% 45 + years, 58.9% female, 56.3% non-white) who completed the 2010-2011 Physical Activity and Transit (PAT) random-digit-dial survey. Measures included number of poor mental health days in the previous month (outcome), self-reported time to walk to the nearest park from home (exposure), and frequency of park use for sports, exercise or PA (mediator). We used multiple regression with bootstrap-generated 95% bias-corrected confidence intervals (BC CIs) to test for mediation by park-based PA and moderation by gender, dog ownership, PA with others, and perceived park crime. Park proximity was indirectly associated with fewer days of poor mental health via park-based PA, but only among those not concerned about park crime (index of moderated mediation = 0.04; SE = 0.02; 95% BC CI = 0.01, 0.10). Investment in park safety and park-based PA promotion in urban neighborhoods may help to maximize the mental health benefits of nearby parks.

P1050General anesthesia improved rate of first-pass pulmonary vein isolation by radiofrequency ablation in patients with atrial fibrillation

Background

Pulmonary vein isolation (PVI) with radiofrequency ablation (RFA) is one of the important procedures for atrial fibrillation (AF). Attaining the stability of RFA, respiratory management and pain control during the procedure are required.

Purpose

We compared the characteristic parameters and procedural outcomes between general anesthesia and moderate (conscious) sedation in patients with AF performed RFA.

Methods

We performed a retrospective, 2-center observational study to compare the general anesthesia with moderate sedation during RFA on AF from January 2018 until December 2018. In general anesthesia group, we administrated propofol and muscle relaxants under mechanical ventilation. In moderate sedation group, we administrated dexmedetomidine and/or propofol with analgesic drug. Procedural time of AF ablation, first-pass PVI (pulmonary vein isolation after completing the right or left circle) were assessed.

Results

A total of 98 patients with mean age 66 ± 11 years were enrolled (80 males, 81%). Of these, 19 patients were performed RFA under general anesthesia and 79 patients were performed under moderate sedation. Age, gender, BMI, medications before admission and CHADs2 score (general anesthesia:1.9 ± 1.2 vs moderate sedation:1.5 ± 1.1, p = 0.14), left atrium diameter (40.2 ± 6.2 vs 40.6 ± 6.8 mm, p = 0.81) and proportion of paroxysmal AF (47.4 vs 54.4%, p = 0.61) were similar between two groups. Our study found catheter RFA with general anesthesia to be associated with reduced procedural time (161 ± 29 vs 241 ± 58 minutes, p < 0.01) and improved the rate of first-pass PVI (left pulmonary vein: 84.2 vs 59.5%, p = 0.06 and right pulmonary vein: 84.2 vs 58.2%, p =0.04).

Conclusions

RFA under general anesthesia improved first-pass PVI (quality of PVI) and shortened procedural time. General anesthesia may attribute to attaining the catheter and patient stability during RFA for PVI.

Unfavorable perceived neighborhood environment associates with less routine healthcare utilization: Data from the Dallas Heart Study

Neighborhood environment perception (NEP) has been associated with health outcomes. However, little is known about how NEP relates to routine healthcare utilization. This study investigated the relationship between NEP and independent subfactors with healthcare utilization behavior, as measured by self-reported (1) usual source of healthcare and (2) time since last routine healthcare check-up. We used cross-sectional data from the Dallas Heart Study, which features a diverse, probability-based sample of Dallas County residents ages 18 to 65. We used logistic regression modeling to examine the association of self-reported NEP and routine healthcare utilization. NEP was assessed via a questionnaire exploring residents' neighborhood perceptions, including violence, the physical environment, and social cohesion. Routine healthcare utilization was assessed via self-reported responses regarding usual source of care and time since last routine healthcare check-up. The analytic sample (N = 1706) was 58% black, 27% white, 15% Hispanic, 42% male, and had a mean age of 51 (SD = 10.3). Analysis of NEP by tertile demonstrated that younger age, lower income, and lower education were associated with unfavorable overall NEP (p trend <0.05 for each). After adjustment for potential confounders, including neighborhood deprivation, health insurance, disease burden and psychosocial factors, we found that individuals with more unfavorable perception of their physical environment were more likely to report lack of a usual source of care (p = 0.013). Individuals with more unfavorable perception of the neighborhood physical environment or greater neighborhood violence reported longer time periods since last routine visit (p = 0.001, p = 0.034 respectively). There was no relationship between perceived social cohesion and healthcare utilization. Using a multi-ethnic cohort, we found that NEP significantly associates with report of a usual source of care and time since last routine check-up. Our findings suggest that public health professionals should prioritize improving NEP since it may act as barrier to routine preventive healthcare and ideal health outcomes.

Racial/Ethnic Disparities in Sleep Health and Potential Interventions Among Women in the United States

While essential for health and wellness, the various dimensions of sleep health are generally not equitably distributed across the population, and reasons for racial/ethnic sleep disparities are not fully understood. In this review, we describe racial/ethnic sleep disparities and subsequent implications for health from prior and recently conducted epidemiological and clinical studies as well as the potential sleep interventions presented at the 2018 Research Conference on Sleep and the Health of Women at the National Institutes of Health. Given the clear connection between sleep and poor health outcomes such as cardiovascular disease, we concluded that future studies are needed to focus on sleep health in general, sleep disorders such as insomnia and obstructive sleep apnea in particular, and disparities in both sleep health and sleep disorders among women using an intersectional framework. Future research should also integrate sleep into interventional research focused on women's health as these results could address health disparities by informing, for example, future mobile health (mHealth) interventions prioritizing women beyond the clinical setting.

Immune cell phenotyping in low blood volumes for assessment of cardiovascular disease risk, development, and progression: a pilot study

Background

Cardiovascular disease (CVD) is the leading cause of death in the world. Given the role of immune cells in atherosclerosis development and progression, effective methods for characterizing immune cell populations are needed, particularly among populations disproportionately at risk for CVD.

Results

By using a variety of antibodies combined in one staining protocol, we were able to identify granulocyte, lymphocyte, and monocyte sub-populations by CD-antigen expression from 500 µl of whole blood, enabling a more extensive comparison than what is possible with a complete blood count and differential (CBC). The flow cytometry panel was established and tested in a total of 29 healthy men and women. As a proof of principle, these 29 samples were split by their race/ethnicity: African-Americans (AA) (N = 14) and Caucasians (N = 15). We found in accordance with the literature that AA had fewer granulocytes and more lymphocytes when compared to Caucasians, though the proportion of total monocytes was similar in both groups. Several new differences between AA and Caucasians were noted that had not been previously described. For example, AA had a greater proportion of platelet adhesion on non-classical monocytes when compared to Caucasians, a cell-to-cell interaction described as crucially important in CVD. We also examined our flow panel in a clinical population of AA women with known CVD risk factors (N = 20). Several of the flow cytometry parameters that cannot be measured with the CBC displayed correlations with clinical CVD risk markers. For instance, Framingham Risk Score (FRS) calculated for each participant correlated with immune cell platelet aggregates (PA) (e.g. T cell PA β = 0.59, p = 0.03 or non-classical monocyte PA β = 0.54, p = 0.02) after adjustment for body mass index (BMI).

Conclusion

A flow cytometry panel identified differences in granulocytes, monocytes, and lymphocytes between AA and Caucasians which may contribute to increased CVD risk in AA. Moreover, this flow panel identifies immune cell sub-populations and platelet aggregates associated with CVD risk. This flow cytometry panel may serve as an effective method for phenotyping immune cell populations involved in the development and progression of CVD.

Evaluating State-Level Differences in E-cigarette and Cigarette Use Among Adults in the United States Between 2012 and 2014: Findings From the National Adult Tobacco Survey

Objective

To examine the association between state-level tobacco control measures and current use estimates of both e-cigarettes and cigarettes, while accounting for socio-demographic correlates.

Methods

Using the 2012-2013 and 2013-2014 National Adult Tobacco Survey (NATS), we assessed prevalence estimates of US adults' e-cigarette and cigarette current use. Four state groups were created based on the combined state-specific prevalence of both products: low cigarette/e-cigarette (n = 15), high cigarette/e-cigarette (n = 16), high cigarette/low e-cigarette (n = 11), and low cigarette/high e-cigarette) (n = 9). To evaluate the implementation of state-level tobacco control measures, Tobacco Control Index (TCI) was calculated using the State of Tobacco Control annual reports for 2012 and 2013. Multinomial logistic regression models were used to examine differences among the four groups on socio-demographic factors and TCI. Low cigarette/e-cigarette group was used as the referent group.

Results

Current use estimates of each product varied substantially by state; current e-cigarette use was highest in Oklahoma (10.3%) and lowest in Delaware (2.7%), and current cigarette use was highest in West Virginia (26.1%), and lowest in Vermont (12.6%). Compared to low cigarette/e-cigarette, all other US-state categories had significantly lower TCI scores (high cigarette/e-cigarette: adjusted Relative Risk Ratio [aRRR] = 0.61; 95% confidence interval [CI]: 0.60-0.61, high cigarette/low e-cigarette: aRRR = 0.74; 95% CI: 0.73-0.74, and low cigarette/high e-cigarette: aRRR = 0.72; 95% CI: 0.71-073).

Conclusions

Enforcing existing tobacco control measures likely interacts with e-cigarette use despite being cigarette-focused. Continuing to monitor e-cigarette use is critical to establish baseline use and evaluate future e-cigarette specific federal and state-level tobacco regulatory actions while accounting for the existing tobacco control environment.

Implications

This study investigates state-level current use estimates of e-cigarettes and cigarettes among US adults; and their association with four existing tobacco control measures. The overall score of these measures was negatively associated with state-level current use estimates such that states with low current e-cigarette and cigarette use had the highest mean overall score. This study assesses the potential relationship between existing state-level tobacco control measures and e-cigarette use and calls for improving the enforcement of the known-to-work tobacco control measures across all US states, while developing evidence-based regulations and interventions specific to e-cigarettes within the existing US tobacco use environment.

Geospatial Analysis of Neighborhood Deprivation Index (NDI) for the United States by County

Little is known about the spatial clustering of neighborhood deprivation across the United States (U.S.). Using data from the 2010 U.S. Census Bureau, we created a neighborhood deprivation index (NDI: higher NDI indicates higher deprivation/ lower neighborhood socioeconomic status) for each county within the U.S. County level scores were loaded into ArcGIS 10.5.1 where they were mapped and analyzed using Moran's I and Anselin Local Moran's I. Ultimately, NDI varies spatially across the US. The highest NDI scores were found in the Southeastern and Southwestern U.S. states, and inland regions of Southern California. This information is critical for public health initiative development as planners may need to tailor the scale of their efforts based on the higher NDI neighborhoods of the county or geographic region with potentially greater chronic disease burden.

P17 In-hospital mortality and clinical features of Japanese patients with acute myocardial infarction diagnosed by universal definition in real world from kanagawa-acute cardiovascular registry (K-ACTIVE)

Background

Cardiac troponin (cTn) has been used as the preferred biomarker of myocardial injury for diagnosis of acute myocardial infraction (AMI) by universal definition. A large number of patients formerly classified by creatine kinase (CK) as unstable angina with the WHO criteria in Japan are now diagnosed by cTn as non-ST elevation myocardial infarction (NSTEMI). In this report, we aimed to understand its prevalence and clinical features of AMI diagnosed by using universal definition and the WHO criterial in real world. 

Method

This registry is a cross-sectional study of 53 facilities in Kanagawa prefecture of Japan. 4372 AMI patients were enrolled who received primary percutaneous coronary intervention (PCI) between October 1, 2015 and January 29, 2019. Patients were divided into 3 groups, 3268 patients with ST elevation myocardial infarction (STEMI), 628 patients with NSTEMI patients who satisfied the WHO criteria with CK elevation beyond twice upper limit of normal (NSTEMI + CK), and 476 patients with NSTEMI who didn’t satisfy the WHO criteria without CK elevation (NSTEMI-CK).

Result

Baseline clinical characteristics of the study patients are shown in Table 1. In-hospital mortality was significantly lower in patients with NSTEMI-CK (1.9%) than in STEMI (6.0%, P &lt; 0.001) and NSTEMI + CK (5.3%, P &lt; 0.004) (Figure 1). Kaplan-Meier analyses for 0-30 days of cardiac death are shown in Figure 2. From day 0, the Kaplan-Meier curves began to diverge in favor of NSTEMI-CK for up to 30 days.

Conclusion

AMI patients showed distinct clinical features depends on the type. We should be aware of the difference for the diagnosis of AMI by using universal definitions.

Table 1. 　 STEMI (n = 3268) NSTEMI + CK (n = 628) NSTEMI-CK (n = 476) STEMI vs NSTEMI + CK P value STEMI vs NSTEMI-CK P value NSTEMI + CK vs NSTEMI-CK P value Age(years) 68(59-77) 69(61-78) 70(61-79) 　 　 　 Male 76% 77% 75% 0.54 0.74 0.47 Concomitant diseases 　 　 　 　 　 　 Hypertention 65.4% 70.5% 69.3% 0.013 0.097 0.65 Diabetes 33.5% 36.5% 37.3% 0.15 0.11 0.78 Dyslipidemia 56.1% 61.2% 61.3% 0.018 0.03 0.96 Hemodialysis 2.3% 2.1% 6.8% 0.86 &lt;0.001 0.01 Smoking 66.3% 63.1% 64.6% 0.13 0.48 0.62 Atrial fibrillation 9.6% 10.7% 14.4% 0.57 0.04 0.23 Previous MI 8.3% 17.3% 15.7% &lt;0.001 &lt;0.001 0.47 In-hospital mortality 6.0% 5.3% 1.9% 0.49 &lt;0.001 0.004

Abstract P17 Figure 1. 2.

Childhood Obesity and the Food Environment: A Population-Based Sample of Public School Children in New York City

OBJECTIVE

This study aimed to examine the relationship between proximity to healthy and unhealthy food outlets around children's homes and their weight outcomes.

METHODS

A total of 3,507,542 student-year observations of height and weight data from the 2009-2013 annual FitnessGram assessment of New York City public school students were used. BMI z scores were calculated, student obesity or obesity/overweight was determined using Centers for Disease Control and Prevention growth charts, and these data were combined with the locations of four food outlet types (fast-food restaurants, wait-service restaurants, corner stores, and supermarkets) to calculate distance to the nearest outlet. Associations between weight status outcomes and distance to these food outlet types were examined using neighborhood (census tract) fixed effects.

RESULTS

Living farther than 0.025 mile (about half of a city block) from the nearest fast-food restaurant was associated with lower obesity and obesity/overweight risk and lower BMI z scores. Results ranged from 2.5% to 4.4% decreased obesity. Beyond this distance, there were generally no impacts of the food environment and little to no impact of other food outlet types.

CONCLUSIONS

Proximity to fast-food restaurants was inversely related to childhood obesity, but no relationships beyond that were seen. These findings can help better inform policies focused on food access, which could, in turn, reduce childhood obesity.

P5483Prognostic impact of skeletal muscle, fat, and bone mass in male patients with ST-segment elevation myocardial infarction

Introduction

Muscle, fat and bone mass may play some roles to keep physical activity and favorable outcome in patients with cardiovascular diseases. However, there is a paucity of data regarding the effects on the prognosis of skeletal muscle, fat, and bone mass in patients with ST-segment elevation myocardial infarction (STEMI).

Purpose

Our purpose was to examine whether skeletal muscle, fat, and bone mass each affect the prognosis after STEMI.

Methods

A total of 354 male patients with STEMI were enrolled in this study. Dual-energy X-ray absorptiometry scan was performed before discharge. All patients were followed up for the primary composite outcome of all-cause death, nonfatal myocardial infarction, nonfatal ischemic stroke, hospitalization for congestive heart failure, and unplanned revascularization.

Results

During a median follow-up of 32 months, 57 patients experienced primary composite outcome. Each of skeletal muscle, fat, and bone mass were indexed by height squared (kg/m2) and divided into two groups using the cut-off value obtained from the maximum Youden index to predict the primary composite outcome. The event rate was significantly higher in patients with low appendicular skeletal muscle mass index (ASMI) (29.2% vs 11.7%, p<0.001), low fat mass index (FMI) (22.9% vs 13.3%, p=0.030), and low bone mass index (23.8% vs 11.6%, p=0.002). After adjustment for age, renal function, diabetes mellitus, infarct size, Killip classification, and body mass index, low ASMI but not FMI (p=0.150) and bone mass index (p=0.159) was independently and significantly associated with the primary composite outcome (adjusted hazard ratio 2.12, 95%-confidence interval 1.05–4.31, p=0.035).

Conclusions

Index about muscle mass rather than fat and bone mass have prognostic impact in male patients with STEMI.

218Different impact of muscle, fat, and bone mass in heart failure with reduced and preserved ejection fraction

Background

Low muscle mass with or without fat mass is a main component of cachexia in heart failure (HF) and associated with poor prognosis. There is a paucity of data, however, regarding prognostic impact of each component of body composition (i.e., muscle, fat, and bone mass).

Purpose

We hypothesized that muscle, fat, and bone mass have different impact on prognosis in HF.

Methods

We retrospectively analyzed 418 patients admitted with a diagnosis of HF (71±13 years, 59% male, 46 and 54% with preserved/mid-range (left ventricular ejection fraction (LVEF) ≥40%) and reduced (<40%) LVEF), respectively). Dual-energy X-ray absorptiometry was performed at stable state after decongestion therapy.

Results

Mean appendicular skeletal mass index (ASMI) was 6.9±1.2 kg/m2 in men and 5.6±0.9 in women, so that 55% of patients had low muscle mass categorized by the Asian Working Group of Sarcopenia. During median follow-up of 502 days, 163 (39.0%) patients experienced primary outcome defined as death or heart failure hospitalization. Using optimal cut-off of each body component chosen on the basis of a receiver operating characteristic curve and the Youden method, we demonstrated that lower ASMI defined by the cut-off of 6.5 kg/m2 in male and 5.2 in female (adjusted hazard ratio (HR): 1.768, 95% CI: 1.210–2.581, p=0.003) and bone mass (adjusted HR: 1.498, 95% CI: 1.051–2.152, p=0.025), but not lower fat mass (p=0.34), were associated with elevated risk of primary outcome after multivariate adjustment. Kaplan-Meier curves with p value by Log-rank test were shown in figure. In subgroup analysis, negative impact of lower ASMI was significant regardless of sex and LVEF category, whereas negative impact of low bone mass was significant only in 78 female patients with reduced LVEF.

Figure 1

Conclusions

Indices about muscle and bone mass rather than fat mass had prognostic impact in HF. The impact of each body component may different according to sex and LVEF.