Disparities in Rural Tobacco Use, Smoke-Free Policies, and Tobacco Taxes

Prevalence of Cigarette Smoking, E-cigarette Use, and Dual Use Among Urban and Rural Women During the Peripartum Period, PRAMS 2015-2020

OBJECTIVES

Evidence has emerged on the health dangers of electronic cigarette (e-cigarette) use among pregnant women and neonates. We examined whether rural residence is a risk factor for smoking and e-cigarette use among women during the peripartum period in the United States.

METHODS

This study was based on pooled cross-sectional 2015-2020 data from the Pregnancy Risk Assessment Monitoring System. The outcome was exclusive smoking, exclusive e-cigarette use, and use of both products (ie, dual use) versus use of neither tobacco product by women with live infants aged 2 to 6 months. We examined rural-urban differences in outcome by using univariate and multivariable multinomial logistic regressions with post hoc contrasts and marginal analyses, adjusting for complex survey design and nonresponse.

RESULTS

During the peripartum period, 5.0% of women were smoking combustible cigarettes, 5.0% were using e-cigarettes, and 1.9% were using both tobacco products. The crude prevalence of e-cigarette use was 1.1 percentage point higher, and the adjusted prevalence was 0.8 percentage points lower for rural versus urban women (P < .001 for both). Among rural women, 6.7% (95% CI, 6.3%-7.1%) smoked combustible cigarettes exclusively and 2.6% (95% CI, 2.3%-2.8%) used both products, as compared with 4.5% (95% CI, 4.4%-4.8%) and 1.7% (95% CI, 1.6%-1.8%) of urban women, respectively, adjusting for sociodemographic and health-related characteristics.

CONCLUSIONS

Maternal sociodemographic and health-related characteristics differed by combustible smoking versus e-cigarette use during the peripartum period. The effect of residence on e-cigarette use was significantly confounded by sociodemographic and health-related characteristics, resulting in clinically comparable prevalence of e-cigarette use in rural and urban mothers with live infants aged 2 to 6 months.

Tobacco use disparities in rural communities

PURPOSE

This exploratory study described facilitators and barriers to reducing tobacco disparities in 2 small rural communities and identified ways to reduce tobacco use.

METHODS

This was a descriptive design using qualitative methods. We created a resource database for 2 rural Kentucky counties, using a Culture of Health Framework. We recruited 16 organizational stakeholders serving low-socioeconomic populations and conducted focus groups and key informant interviews. We also completed key informant interviews with 7 tobacco users. Lastly, we tailored Community Action Plans for each county based on the data and then solicited feedback from the key stakeholders.

FINDINGS

The 2 counties were similar in population size, but County A had fewer resources than County B, and the stakeholders expressed differences toward tobacco use and quitting. County A stakeholders talked most about the protobacco culture and that tobacco users accept the risks of smoking outweighing the benefits of quitting; they also expressed concerns about youth use and the influences of family, society, and industry. County B stakeholders described ambivalence about the health effects of use and quitting. County A's Action Plan identified an opportunity to build Community Health Worker-delivered tobacco treatment into a new school-based health center. County B's Action Plan focused on reaching tobacco users by providing incentives for participation and tailoring messages to different audiences.

CONCLUSIONS

Tobacco control resources and stakeholder perspectives vary in small rural communities, implying a need for tailored approaches. Tobacco users in rural areas are a critical population to target with cessation resources.

Estimating the Impact of Rurality in Disparities in Cancer Mortality

PURPOSE

Estimation of the independent effect of rurality on cancer mortality requires causal inference methodology and consideration of area-level socioeconomic status and rural designations.

METHODS

Using SEER data, we identified key incident cancers diagnosed between 2000 and 2016 at age ≥20 years (N = 3,788,273), examining a 20% random sample (n = 757,655). Standardized competing risk and survival models estimated the association between rural residence, defined by Rural-Urban Continuum Codes, and cancer-specific and all-cause mortality, controlling for age at cancer diagnosis, sex, race/ethnicity, year of diagnosis, and Area Deprivation Index (ADI). We estimated the attributable fraction (AF) of rurality and high ADI (ADI > median) to the probability of mortality. Finally, we examined county measurement issues contributing to mortality rates discordant from hypothesized rates.

RESULTS

The 5-year standardized failure probability for cancer mortality for rural patients was 33.9% versus 31.56% for urban. The AF for rural residence was 1.04% at year 1 (0.89% by year 5), the highest among local stage disease (Y1 2.1% to Y5 1.9%). The AF for high ADI was 3.33% in Y1 (2.87% in Y5), while the joint effect of rural residence and high ADI was 4.28% in Y1 (3.71% in Y5). Twenty-two percent of urban counties and 30% of rural were discordant. Among discordant urban counties, 30% were only considered urban because of adjacency to metro area. High ADI was associated with urban discordance and low ADI with rural discordance.

CONCLUSION

Rural residence independently contributes to cancer mortality. The rural impact is the greatest among those with localized disease and in high deprivation areas. Rural-urban county designations may mask high-need urban counties, limiting eligibility to state and federal resources dedicated to rural areas.

Disparities in preconception health indicators in U.S. women: a cross-sectional analysis of the behavioral risk factor surveillance system 2019

OBJECTIVES

Optimized preconception care improves birth outcomes and women's health. Yet, little research exists identifying inequities impacting preconception health. This study identifies age, race/ethnicity, education, urbanicity, and income inequities in preconception health.

METHODS

We performed a cross-sectional analysis of the Center for Disease Control and Prevention's (CDC) 2019 Behavioral Risk Factor Surveillance System (BRFSS). This study included women aged 18-49 years who (1) reported they were not using any type of contraceptive measure during their last sexual encounter (usage of condoms, birth control, etc.) and (2) reported wanting to become pregnant from the BRFSS Family Planning module. Sociodemographic variables included age, race/ethnicity, education, urbanicity, and annual household income. Preconception health indicators were subdivided into three categories of Physical/Mental Health, Healthcare Access, and Behavioral Health. Chi-squared statistical analysis was utilized to identify sociodemographic inequities in preconception health indicators.

RESULTS

Within the Physical/Mental Health category, we found statistically significant differences among depressive disorder, obesity, high blood pressure, and diabetes. In the Healthcare Access category, we found statistically significant differences in health insurance status, having a primary care doctor, and being able to afford a medical visit. Within the Behavioral Health category, we found statistically significant differences in smoking tobacco, consuming alcohol, exercising in the past 30 days, and fruit and vegetable consumption.

CONCLUSIONS

Maternal mortality and poor maternal health outcomes are influenced by many factors. Further research efforts to identify contributing factors will improve the implementation of targeted preventative measures in directly affected populations to alleviate the current maternal health crisis.

Contribution of County Characteristics to Disparities in Rural Mortality After Cancer Diagnosis

INTRODUCTION

Rural disparities in cancer outcomes have been widely evaluated, but limited evidence is available to describe what characteristics of rural environments contribute to the increased risk of poor outcomes. Therefore, this manuscript sought to assess the mediating effects of county characteristics on the relationship between urban/rural status and mortality among patients with cancer, characterize county profiles, and determine at-risk county profiles alongside rural settings.

METHODS

Patients diagnosed with cancer between 2000 and 2016 were assessed using Surveillance, Epidemiology and End Results data linked to the 2010 Rural-Urban Commuting Codes and 2010 County Health Rankings. There were 757,655 patients representing 596 counties (of 3,143 in the U.S.) and 12 states. Mediation analyses, conducted in 2023, estimated the direct contribution of rurality to 5-year all-cause survival and the contribution of the rural effect indirectly through County Health Ranking domains. Latent class analysis and survival models identified county groupings and estimated the hazard of mortality associated with class membership.

RESULTS

Rankings for premature death, clinical care, and physical environment resulted in rural patients having 17.9%-20.2% less survival time than urban patients. Of this, 4.1%-12.6% of the total excess risk was mediated by these characteristics. Patients living in rural and high-risk county classes saw higher all-cause mortality than those in urban lower-risk counties (hazard ratio=1.04, 95% CI=1.01, 1.08 and 1.07, 95% CI=1.03, 1.11).

CONCLUSIONS

Counties with poorer health rankings had increased mortality risks regardless of rurality; however, the poor rankings, notably health behaviors and social and economic factors, elevated the risk for rural counties.

Experiences and Perceptions of E-Cigarette Cessation for Young Adults in Rural Communities

BACKGROUND

Electronic nicotine delivery systems (ENDS), also known as e-cigarettes, are the most commonly used tobacco products among young adults in the United States. Young adults in rural areas have a higher prevalence of ENDS use compared to their urban counterparts, yet there is limited evidence regarding the in-depth understanding of experiences and perspectives directly from young adults.

OBJECTIVES

The aim of this study was to explore individual experiences and perspectives about use and cessation of ENDS from young adults in rural areas.

METHODS

This was a qualitative study using interpretive description for analysis. Young adults (18-24 years) who used ENDS every day but not other tobacco products (cigarettes, smokeless, etc.) in the past month and had an address in a rural county of Wisconsin were eligible; there were nine participants interviewed using Zoom. Interview questions focused on initial use, maintenance of use, experiences of quitting, and social and rural environmental contexts regarding ENDS.

RESULTS

Three themes emerged with eight categories: (a) addiction to ENDS and health, (b) cessation and resources, and (c) rural environment and culture in ENDS addiction.

DISCUSSION

Findings have implications for ENDS cessation interventions targeting young adults in rural areas.

National and regional economic inequalities in first- and second-hand tobacco consumption among women of reproductive ages in Iran

INTRODUCTION

The epidemic of tobacco consumption is one of the major public health threats the world has been facing so far. This study was performed to investigate the economic inequalities in tobacco consumption among women of reproductive ages at national and regional levels in Iran.

METHODS

We used data from 10,339 women of reproductive ages (18-49 years) who participated in Iran's 7th Non-Communicable Disease Risk Factor Surveillance (STEPS). Wagstaff normalized concentration index and decomposition method were applied to measure economic inequalities in first- and second-hand tobacco consumption and determine their corresponding contributory factors, respectively.

RESULTS

The prevalence of women's first-hand tobacco consumption, and their exposure to second-hand smoke in the home, and workplace were 3.6%, 28.3%, and 8.4%, respectively. First- and second-hand tobacco consumption was significantly more concentrated among low-economic women. Exposure to home second-hand smoke, education, and economic status had the largest contributions to the measured inequality in first-hand tobacco consumption (48.9%, 38.9%, and 30.8%, respectively). The measured inequality in women's secondhand smoke exposure at home was explained by their level of education (43.8%), economic status (30.3%), and residency in rural areas (18%), and at work by residency in rural areas (42.2%), economic status (38.8%), and level of education (32%). Our results also revealed diversity in the geographical distribution of inequalities in rural and urban areas and five regions of the country.

CONCLUSION

The present study highlighted the need for more enforcement of tobacco control rules and increasing tobacco taxes as general measures. Furthermore, there is a need for gender-sensitive initiatives at national and regional levels to educate, support, and empower low-economic women and households for tobacco cessation, and complying with restrictive smoking rules.

Tobacco use in Haiti: findings from demographic and health survey

INTRODUCTION

Although tobacco has harmful effects on the physical and mental health of individuals, its use remains significant, according to the World Health Organization. To understand this phenomenon, studies have been carried out in many countries around the world, while in Haiti where more than 5,000 people die each year due to tobacco use, little is known about the use of this substance. The aim of this study was to examine the prevalence and the factors associated with tobacco use in Haiti.

METHODS

We used data from the 2016/17 Haitian Demographic Health Survey. Both descriptive and multivariate analyses were conducted using STATA 16.0 software to assess the prevalence and identify factors associated with tobacco use. Results were reported as adjusted odds ratios with 95% confidence intervals. Statistical significance was declared at p < 0.05.

RESULTS

The prevalence of tobacco use was estimated at 9.8% (95% CI: 9.2-10.4) among men and 1.7% (95% CI: 1.5-1.9) among women. Although the prevalence of tobacco use was low among young people, it increased with age. Respondents aged 35 and above, with no formal education, non-Christians, divorced/separated/widowed, from poorest households, rural areas, "Aire Métropolitaine de Port-au-Prince" region, with high media exposure had a higher likelihood of tobacco use.

CONCLUSION

The low prevalence of tobacco use among Haitian women and youth represents a public policy opportunity to prevent these vulnerable groups from starting smoking. Adult male smokers should also be targeted by appropriate policy to reduce the different health burdens associated with tobacco, both for the smokers and other people they may expose to passive smoking. Government and health sector stakeholders, along with community leaders, should create and enforce awareness strategies and rules to control advertisements that encourage irresponsible and health-risky consumption behaviors.

A Christian Faith-Based Facebook Intervention for Smoking Cessation in Rural Communities (FAITH-CORE): Protocol for a Community Participatory Development Study

BACKGROUND

Tobacco smoking remains the leading cause of preventable morbidity and mortality in the United States, with significant rural-urban disparities. Adults who live in rural areas of the United States have among the highest tobacco smoking rates in the nation and experience a higher prevalence of smoking-related deaths and deaths due to chronic diseases for which smoking is a causal risk factor. Barriers to accessing tobacco use cessation treatments are a major contributing factor to these disparities. Adults living in rural areas experience difficulty accessing tobacco cessation services due to geographical challenges, lack of insurance coverage, and lack of health care providers who treat tobacco use disorders. The use of digital technology could be a practical answer to these barriers.

OBJECTIVE

This report describes a protocol for a study whose main objectives are to develop and beta test an innovative intervention that uses a private, moderated Facebook group platform to deliver peer support and faith-based cessation messaging to enhance the reach and uptake of existing evidence-based smoking cessation treatment (EBCT) resources (eg, state quitline coaching programs) for rural adults who smoke.

METHODS

We will use the Integrated Theory of Health Behavior Change, surface or deep structure frameworks to guide intervention development, and the community-based participatory research (CBPR) approach to identify and engage with community stakeholders. The initial content library of moderator postings (videos and text or image postings) will be developed using existing EBCT material from the Centers for Disease Control and Prevention Tips from Former Smokers Campaign. The content library will feature topics related to quitting smoking, such as coping with cravings and withdrawal and using EBCTs with faith-based message integration (eg, Bible quotes). A community advisory board and a community engagement studio will provide feedback to refine the content library. We will also conduct a beta test of the intervention with 15 rural adults who smoke to assess the recruitment feasibility and preliminary intervention uptake such as engagement, ease of use, usefulness, and satisfaction to further refine the intervention based on participant feedback.

RESULTS

The result of this study will create an intervention prototype that will be used for a future randomized controlled trial.

CONCLUSIONS

Our CBPR project will create a prototype of a Facebook-delivered faith-based messaging and peer support intervention that may assist rural adults who smoke to use EBCT. This study is crucial in establishing a self-sufficient smoking cessation program for the rural community. The project is unique in using a moderated social media platform providing peer support and culturally relevant faith-based content to encourage adult people who smoke to seek treatment and quit smoking.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/52398.

Comparative analysis of e-cigarette prevalence and influencing factors among adolescents in Jiangsu Province, China

Objective

The objectives of this study were to investigate electronic cigarette (e-cigarette) and cigarette use in Jiangsu Province, China, by analyzing the two-year trends of e-cigarette using and to explore the factors influencing the experimentation and use of e-cigarettes.

Methods

We conducted a cross-sectional study following the standard methodology of the Global Youth Tobacco Survey in 2019 and 2021. A three-stage cluster sampling design was applied. Eighty-two schools in 14 districts (counties) in Jiangsu Province were surveyed. All computations were performed using the SPSS 21.0 complex samples procedure. Multivariate logistic regression was used to explore the factors influencing e-cigarette experimentation and use.

Results

A total of 12,410 and 12,880 students were surveyed in 2019 and 2021, respectively. E-cigarette experimentation increased from 9.34% in 2019 to 13.07% in 2021 (P < 0.001). E-cigarette use increased from 2.23% in 2019 to 3.74% in 2021 (P < 0.001). The main factors associated with e-cigarette use were cigarette experimentation (OR = 2.700, P < 0.001); male gender (OR = 1.416, P = 0.011); junior high school students (OR = 1.551, P = 0.005) and vocational high school students (OR = 1.644, P = 0.001); more pocket money per week (OR1 = 1.214, P = 0.187; OR2 = 1.686, P = 0.001); exposure to second-hand smoke (SHS) at home (OR = 1.239, P < 0.001); exposure to e-cigarette advertising (OR = 1.855, P < 0.001); believe SHS is harmful (OR = 0.933, P = 0.026); closest friends smoking (OR = 2.501, P < 0.001); believe smoking makes youth look more attractive (OR1 = 1.469, P = 0.040; OR2 = 1.305, P = 0.049); believe tobacco helps youth feel more comfortable in social situations (OR1 = 2.161, P < 0.001; OR2 = 1.635, P = 0.001); will use an e-cigarette product if offered by best friends (OR = 1.322, P < 0.001); intend to use an e-cigarette product in the next 12 months (OR = 1.486, P < 0.001).

Conclusion

E-cigarette use among adolescents has been on the rise in recent years. E-cigarette use is associated with past cigarette use and a strong desire to smoke. It is crucial to take health education and tobacco control efforts to reduce adolescents' e-cigarette use rate.

Community-Based Strategies to Reduce Alzheimer's Disease and Related Dementia Incidence Among Rural, Racially/Ethnically Diverse Older Adults

Purpose of Review

The purpose of this paper was to address the research question "What recent advances in Alzheimer's Disease and Related Dementias (ADRD) risk reduction strategies can be tailored for rural, racially/ethnically diverse populations?" A rural resident's life story that grounded the work is shared. Next, a brief description is provided regarding ADRD risk factors of importance in rural, multicultural settings. Gaps in U.S.-based research are highlighted. Policy actions and interventions that may make a difference in alleviating rural, ADRD-related disparities are offered.

Recent Findings

More than a dozen factors, including lack of built environment, periodontitis, poor air quality, and sensory loss, were identified that are of particular relevance to rural groups. Evidence of importance to underserved residents has also emerged regarding the harmful effects of ultra-processed foods on brain health, benefits of even minimal physical activity, and importance of social engagement, on brain health.

Summary

Resident-led initiatives will be key to creating change at the community level. Health providers are also called to assist in identifying and adapting culturally specific upstream approaches, in partnership with community stakeholders. These mechanisms are vital for decreasing ADRD burdens in underserved communities facing the largest disparities in preventive care.

Predictors of Cessation in Men Using a Tobacco Quitline: A Follow-Up Study

INTRODUCTION

Although the effectiveness of tobacco quitline services for people who smoke cigarettes is well established, less is known about other forms of tobacco. This study aimed to compare quit rates and factors contributing to tobacco abstinence in men reporting dual use (smokeless tobacco and one additional combustible tobacco product), smokeless tobacco use only, and cigarette use only.

METHODS

Self-reported 30-day point-prevalence tobacco abstinence at the 7-month follow-up was calculated in males who registered with the Oklahoma Tobacco Helpline and completed a 7-month follow-up survey (N=3,721) (July 2015-November 2021). Logistic regression analysis completed in March 2023 identified variables associated with abstinence in each group.

RESULTS

Abstinence was reported by 33% in the dual-use group, 46% in the smokeless-tobacco-use-only group, and 32% in the cigarette-use-only group. Eight or more weeks of nicotine replacement therapy provided by the Oklahoma Tobacco Helpline was associated with tobacco abstinence in men who reported dual use (AOR=2.7, 95% CI=1.2, 6.3) and exclusive smoking (AOR=1.6, 95% CI=1.1, 2.3). The use of all nicotine replacement therapy was associated with abstinence in men who used smokeless tobacco (AOR=2.1, 95% CI=1.4, 3.1) and who smoked (AOR=1.9, 95% CI=1.6, 2.3). The number of helpline calls was associated with abstinence in men who used smokeless tobacco (AOR=4.3, 95% CI=2.5, 7.3).

CONCLUSIONS

Men in all three tobacco-use groups who fully utilized quitline services showed a greater likelihood of tobacco abstinence. These findings underscore the importance of quitline intervention as an evidence-based strategy for people who use multiple forms of tobacco.

Characterization and efficacy of lifestyle behavior change interventions among adult rural cancer survivors: a systematic review

PURPOSE

Little is known about the intersection between age and rurality as characteristics that impact lifestyle behavior change for cancer survivors. This review aims to summarize the current literature on lifestyle behavior change interventions conducted among rural survivors of cancer, with an emphasis on older survivors.

METHODS

A systematic search of five databases identified randomized controlled trials and controlled clinical trials that targeted diet, physical activity, alcohol consumption, or tobacco use change in adult cancer survivors living in rural areas of the world.

RESULTS

Eight studies met the inclusion criteria. Most studies were conducted in either Australia or the USA, included survivors at least 6 weeks post-treatment, and half included only breast cancer survivors, while the other four included a mix of cancer types. All but one had a physical activity component. No articles addressed changes in alcohol or tobacco behavior. Seven (87.5%) had a fully remote or hybrid delivery model. Most of the physical activity interventions showed significant changes in physical activity outcomes, while the dietary interventions showed changes of clinical but not statistical significance.

CONCLUSIONS

Few studies have been conducted to implement and evaluate the effectiveness of lifestyle behavior change interventions among older rural survivors of cancer. Future research should evaluate the acceptability and relevancy of adapted, evidence-based intervention with this population.

IMPLICATIONS FOR CANCER SURVIVORS

Effective diet and physical activity interventions exist, albeit limited in terms of effective lifestyle behavior change intervention tailored to older, rural survivors of cancer, particularly in relation to alcohol and tobacco behaviors.

Assessment of Knowledge Gap on Cigarettes and Other Tobacco Products Act (COTPA) among Tobacco Vendors in Puducherry: A Mixed-Method Study

Background

Tobacco usage has been identified as a leading preventable cause of mortality and is responsible for six million fatalities per year globally. India had enacted COTPA in 2003. Tobacco vendors are one of the key stakeholders for Cigarettes and Other Tobacco Products Act (COTPA) implementation.

Objective

To assess the knowledge gap on COTPA and to explore the perceived factors influencing implementation of COTPA among tobacco vendors in Puducherry.

Materials and Methods

A mixed-method study was conducted among tobacco vendors from Point of Sale (PoS) around 230 educational institutions (schools and degree colleges) in Puducherry for three months. Simple random sampling was applied to select educational institutions and the tobacco vendors from PoS located around these institutions were included. Data capture was done using a pretested, face-validated questionnaire incorporated in Epicollect software 5 and data analysis by SPSSv24. Purposive sampling was employed to conduct in-depth interviews among tobacco vendors till the point of saturation and manual content analysis performed. Written informed consents were sought. Institutional Ethical Committee approval was obtained.

Results

Majority (95.7%) reported that they were aware of tobacco control legislation, but only one person had heard of COTPA. Awareness about the display of signage boards at PoS was observed in 75.7% vendors. Around 41.7% reported that they should not advertise any kind of tobacco products. Three major themes were identified: facilitators, barriers, and suggested measures for COTPA implementation.

Conclusion

Tobacco vendors in Puducherry were aware of tobacco control legislations but not familiar with the COTPA and its provisions. It is necessary to put forth efforts to educate these important stakeholders to be more cognizant of COTPA and to effectively include them in anti-tobacco programs.

Global rural health disparities in Alzheimer's disease and related dementias: State of the science

INTRODUCTION

Individuals living in rural communities are at heightened risk for Alzheimer's disease and related dementias (ADRD), which parallels other persistent place-based health disparities. Identifying multiple potentially modifiable risk factors specific to rural areas that contribute to ADRD is an essential first step in understanding the complex interplay between various barriers and facilitators.

METHODS

An interdisciplinary, international group of ADRD researchers convened to address the overarching question of: "What can be done to begin minimizing the rural health disparities that contribute uniquely to ADRD?" In this state of the science appraisal, we explore what is known about the biological, behavioral, sociocultural, and environmental influences on ADRD disparities in rural settings.

RESULTS

A range of individual, interpersonal, and community factors were identified, including strengths of rural residents in facilitating healthy aging lifestyle interventions.

DISCUSSION

A location dynamics model and ADRD-focused future directions are offered for guiding rural practitioners, researchers, and policymakers in mitigating rural disparities.

HIGHLIGHTS

Rural residents face heightened Alzheimer's disease and related dementia (ADRD) risks and burdens due to health disparities. Defining the unique rural barriers and facilitators to cognitive health yields insight. The strengths and resilience of rural residents can mitigate ADRD-related challenges. A novel "location dynamics" model guides assessment of rural-specific ADRD issues.

Advancing health equity through implementation science: Identifying and examining measures of the outer setting

BACKGROUND

Implementation science (IS) could accelerate progress toward achieving health equity goals. However, the lack of attention to the outer setting where interventions are implemented limits applicability and generalizability of findings to different populations, settings, and time periods. We developed a data resource to assess outer setting across seven centers funded by the National Cancer Institute's IS Centers in Cancer Control (ISC3) Network Program.

OBJECTIVE

To describe the development of the Outer Setting Data Resource and characterize the county-level outer context across Centers.

METHODS

Our Data Resource captures seven key environments, including: (1) food; (2) physical; (3) economic; (4) social; (5) health care; (6) cancer behavioral and screening; and (7) cancer-related policy. Data were obtained from public sources including the US Census and American Community Survey. We present medians and interquartile ranges based on the distribution of all counties in the US, all ISC3 centers, and within each Center for twelve selected measures. Distributions of each factor are compared with the national estimate using single sample sign tests.

RESULTS

ISC3 centers' catchment areas include 458 counties and over 126 million people across 28 states. The median percentage of population living within ½ mile of a park is higher in ISC3 counties (38.0%, interquartile range (IQR): 16.0%-59.0%) compared to nationally (18.0%, IQR: 7.0%-38.0%; p < 0.0001). The median percentage of households with no broadband access is significantly lower in ISC3 counties (28.4%, IQR: 21.4%-35.6%) compared the nation overall (32.8%, IQR: 25.8%-41.2%; p < 0.0001). The median unemployment rate was significantly higher in ISC3 counties (5.2%, IQR: 4.1%-6.4%) compared to nationally (4.9%, 3.6%-6.3%, p = 0.0006).

CONCLUSIONS

Our results indicate that the outer setting varies across Centers and often differs from the national level. These findings demonstrate the importance of assessing the contextual environment in which interventions are implemented and suggest potential implications for intervention generalizability and scalability.

[Self-reported morbidities and lifestyles of agricultural and non-agricultural workers in Brazil: a comparative analysis between 2013 and 2019]

Differences in the profiles of illness and lifestyles among agricultural and non-agricultural workers were investigated using data from the National Health Survey (Brazilian acronym PNS) of 2013 and 2019. The prevalence and 95% CIs were calculated for the following variables: self-reported morbidities, poor self-rated health, limitations of usual activities, number of NCD, major or minor depression and lifestyles. The Poisson model was used to calculate crude and adjusted prevalence ratios, by gender and age. The sample weights and the conglomerate effect in 2013 and 2019 were considered in the analyses. A total of 33,215 non-agricultural workers and 3,797 agricultural workers were evaluated in 2013, whereas 47,849 non-agricultural workers and 4,751 agricultural workers were assessed in 2019. Agricultural workers are more susceptible to poor self-rated health, chronic back problems, excessive physical activity at work, smoking and lower consumption of vegetables and fruit. On the other hand, non-agricultural workers revealed a higher prevalence of asthma/bronchitis, depression and diabetes mellitus and greater consumption of candies and soft drinks. Differentiated NCD prevention and treatment actions for both groups of workers need to be prioritized.

Mixed methods evaluation of vaping and tobacco product use prevention interventions among youth in the Florida 4-H program

INTRODUCTION

Novel prevention programs are developed to address the increase in e-cigarette use (vaping) among children. However, it remains paramount to test their feasibility in rural settings. This pilot study implemented and evaluated the feasibility and outcomes of two innovative programs, CATCH My Breath and smokeSCREEN, among youth in rural settings in Florida.

METHODS

We conducted four focus groups with youth aged 11-17 recruited from 4-H rural clubs in Florida. In a subsequent randomized trial, we recruited 82 youth participants and assigned them to one of three arms: CATCH My Breath, smokeSCREEN, or control. CATCH My Breath and smokeSCREEN participants attended online group intervention sessions while the control group received educational material. Pre- and post-surveys were administered to all participants to assess knowledge, susceptibility, perceived positive outcomes and risk perceptions related to tobacco and e-cigarette use. Other feasibility parameters were also assessed.

RESULTS

Focus group discussions provided insights about feasibility and informed the implementation of both interventions in terms of delivery format, scheduling of sessions and incentives. After the intervention, CATCH My Breath participants significantly improved their general tobacco-related knowledge (post-pre = 16.21-12.92 = 3.3, p <.01) and risk perceptions towards other flavored tobacco products (post-pre = 19.29-17.71 = 1.6, p <.05). smokeSCREEN participants significantly improved their general tobacco knowledge (post-pre = 18.77-13.77 = 5.0, p <.01), knowledge about e-cigarettes (post-pre = 9.08-6.31 = 2.8, p <.01) and risk perception towards e-cigarettes (post-pre = 24.69-21.92 = 2.8, p <.05).

CONCLUSIONS

This study demonstrated feasibility of delivering the interventions via participant engagement, participants' willingness to be randomized, assessment of outcome measures, and exploration of different recruitment methods. Despite the potential positive influence of CATCH My Breath and smokeSCREEN on youth participants, further evaluation with larger samples is needed.

Defining rurality: an evaluation of rural definitions and the impact on survival estimates

BACKGROUND

Patients with cancer living in rural areas have inferior cancer outcomes; however, studies examining this association use varying definitions of "rural," complicating comparisons and limiting the utility of the results for policy makers and future researchers.

METHODS

Surveillance, Epidemiology, and End Results data (2000-2016) were used to assess risk of cancer mortality and mortality from any cause across 4 definitions of rurality: Urban Influence codes (UIC), National Center for Health Statistics (NCHS), Rural-Urban continuum codes (RUCC), and Index of Relative Rurality. Binary (urban vs rural) and ternary (urban, micropolitan, rural) definitions were evaluated. Multivariable parametric survival models estimated hazards of mortality overall and among 3 cancer groupings: screening related, obesity related, and tobacco related. Definition agreement was also assessed.

RESULTS

Overall, 3 788 273 patients with an incident cancer representing 605 counties were identified. There was little discordance between binary definitions of rural vs urban and moderate agreement at the 3 levels. Adjusted models using binary definitions revealed 15% to 17% greater hazard of cancer mortality in rural compared with urban. At the 3 levels when comparing rural with metropolitan, RUCC and NCHS saw similarly increased hazard ratios; however, Index of Relative Rurality did not. Screening-related cancers saw the highest hazards of mortality and the largest divergence between definitions. Obesity-related and tobacco-related cancers saw similarly increased hazards of mortality at the binary and ternary levels.

CONCLUSIONS

Hazard of death is similar across binary definitions; however, this differed when categorized as ternary or continuous, especially among screening-related cancers. Results suggest that study purpose should direct choice of definitions and categorization.

Association of 3-year change in sleep duration with risk of all-cause mortality in Chinese older population: A national cohort study

BACKGROUND

Existing evidence on the association of dynamic change in sleep duration with risk of all-cause mortality in Chinese older population is limited. We aimed to explore the association of 3-year change in sleep duration with risk of all-cause mortality in a Chinese older population.

MATERIALS AND METHODS

A total of 5772 Chinese older participants (median age 82 years) were enrolled in the current study. Cox proportional-hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of 3-year change in sleep duration with risk of all-cause mortality. Subgroup analyses of the association between 3-year change in sleep duration and risk of all-cause mortality were conducted by age, sex and residence.

RESULTS

During a median of 4.08 years of follow-up, death developed in 1762 participants. Compared with -1 to <1 h/day change in sleep duration, the adjusted risk of all-cause mortality with < -3 h/day change in sleep duration may increase 26% (HR = 1.26, 95% CI: 1.05-1.52); the risk of all-cause mortality with 3-year change from short to long sleep duration, or long to short sleep duration versus stable normal sleep duration status was increased about 28% and 52%, respectively (HR = 1.28, 95% CI: 1.00-1.64 and HR = 1.52, 95% CI: 1.21-1.92). Subgroup analyses demonstrated that similar significant associations were observed among participants with 65 to <85 years, men and living in city and town.

CONCLUSIONS

Dynamic sleep duration change was significantly associated with risk of all-cause mortality. The current study suggests that sleep duration may be a non-invasive indicator for interventions aiming to reduction risk of all-cause mortality in Chinese older population.

Prevalence of Cigarettes and Waterpipe Smoking among Jordanians, Refugees, and Migrants in Jordan and Its Associated Factors: A Secondary Data Analysis

Smoking is a major public health threat resulting in increased morbidity and mortality. This study aimed to determine the prevalence of current smoking among different adult populations in Jordan, including Jordanians, refugees, and migrants and determine the factors associated with smoking. A cross-sectional survey was conducted during the period of June-September 2021 among Jordanians, Syrian refugees (both urban and camp refugees), and migrants living in four governorates in Jordan, including Amman, Zarqa, Mafraq, and Irbid. The selection of the four governorates was based on criteria related to the presence of Syrian refugees in host communities. The highest prevalence of cigarette smoking was among urban Jordanians (51.1%), followed by non-camp refugees (46.7%), while the highest prevalence for waterpipe (43.2%) and dual smoking (28.7%) was among non-camp refugees. Being male, aged 25-45 years old, unemployed, and having less than a high school education, as well as being urban Jordanians, were all associated with higher odds of cigarette smoking. Being male, unemployed, and urban Jordanians or non-camp refugees were variables associated with higher odds of waterpipe smoking. The study findings indicate that the identification of smoking prevalence in Jordan and its associated factors, including gender, educational level, employment status, regional area, migration, and exposure to traumas, should be considered by healthcare providers to formulate smoking cessation programs tailored to their needs and ultimately reduce smoking prevalence.

Identifying High-Risk Comorbidities Associated with Opioid Use Patterns Using Electronic Health Record Prescription Data

Introduction

Opioid use disorders (OUDs) constitute a major public health issue, and we urgently need alternative methods for characterizing risk for OUD. Electronic health records (EHRs) are useful tools for understanding complex medical phenotypes but have been underutilized for OUD because of challenges related to underdiagnosis, binary diagnostic frameworks, and minimally characterized reference groups. As a first step in addressing these challenges, a new paradigm is warranted that characterizes risk for opioid prescription misuse on a continuous scale of severity, i.e., as a continuum.

Methods

Across sites within the PsycheMERGE network, we extracted prescription opioid data and diagnoses that co-occur with OUD (including psychiatric and substance use disorders, pain-related diagnoses, HIV, and hepatitis C) for over 2.6 million patients across three health registries (Vanderbilt University Medical Center, Mass General Brigham, Geisinger) between 2005 and 2018. We defined three groups based on levels of opioid exposure: no prescriptions, minimal exposure, and chronic exposure and then compared the comorbidity profiles of these groups to the full registries and to those with OUD diagnostic codes.

Results

Our results confirm that EHR data reflects known higher prevalence of substance use disorders, psychiatric disorders, medical, and pain diagnoses in patients with OUD diagnoses and chronic opioid use. Comorbidity profiles that distinguish opioid exposure are strikingly consistent across large health systems, indicating the phenotypes described in this new quantitative framework are robust to health systems differences.

Conclusion

This work indicates that EHR prescription opioid data can serve as a platform to characterize complex risk markers for OUD using existing data.

Reduction in the prevalence of tobacco use accompanying legislative changes in tobacco policy in Poland in the years 2010-2019

OBJECTIVES

Tobacco use is one of the most serious public health problems. Each year, it contributes to preventable disability and death of 8 million people worldwide. The aim of the study was to determine the change in the prevalence of tobacco and e-cigarettes use among Polish adults in the years 2010-2019 and the potential impact of legislative interventions on tobacco consumption in Poland.

MATERIAL AND METHODS

The research was based on an analysis of secondary data obtained from a cross-sectional study as part of the public opinion monitoring in Poland. The study was carried out in 2 editions (2010 and 2019) on representative samples of approximately 1000 Polish residents >18 years of age.

RESULTS

The proportion of traditional cigarette smokers decreased from 30.4% to 26.0% in the years 2010-2019 (p < 0.05). In the male group decreased from 40.3% to 31.0% (p < 0.001); among females, the values remained at the same level (21.3%). The greatest change in the percentage of current smokers was recorded in cities with ≥500 000 inhabitants (from 30.3% to 17.1%) and <100 000 inhabitants (from 31.5% to 24.6%) (p < 0.05). The total support for the new legal regulations increased from 73.9% to 89.8% (p < 0.001). The use of e-cigarettes in 2019 declared only 1.9%.

CONCLUSIONS

The percentage of adult traditional cigarette smokers decreased significantly between 2010 and 2019 (mainly among men). Among women, the percentage of cigarette smokers remained the same. The most significant declines in cigarette smoking were also observed among residents of the largest cities (≥500 000 inhabitants). During the same period, there was a further increase in the acceptance of legal restrictions on smoking cigarettes in public places. E-cigarette use among adults is a niche phenomenon in Poland, but it is much more prevalent among women than men. Int J Occup Med Environ Health. 2022;35(4):393-405.

Home Smoke-Free Policies as Children Age: Urban, Rural, and Suburban Differences

INTRODUCTION

Parents/guardians can effectively reduce tobacco smoking and secondhand smoke exposure among youth by adopting and enforcing rules against indoor tobacco smoking (ie, home smoke-free policies). We investigate home smoke-free policies from childhood to adolescence in the United States and across rural, suburban, and urban households.

AIMS AND METHODS

We analyzed 2019-2020 National Survey of Children's Health data from n = 5,955 parents of youth aged 0-17, living at home with a tobacco smoker in the United States (U.S). Geographical categories were: rural, suburban, and urban. Home smoke-free policy reflected prohibiting tobacco smoking inside the home. Weighted logistic regressions examined the (1) association between youth age and home smoke-free policies, (2) interaction between geographic category and youth age, and (3) differing associations between youth age and home smoke-free policies by geography. Models controlled for youth race, ethnicity, sex, parental education, household annual income, and home structure.

RESULTS

Approximately 13.2% of U.S. households with a smoker did not have a home smoke-free policy. Stratified analyses found one-year increase in youth age was associated with lower odds of having a home smoke-free policy in rural (aOR:0.91; 95%CI: 0.87-0.95) and urban (aOR: 0.96; 95%CI: 0.92-1.00; p = .039), but not suburban (aOR:1.00; 95%CI: 0.95-1.05) households, controlling for covariates.

CONCLUSION

Odds of having a smoke-free home in the U.S. declined significantly in rural (9% per year) and urban (4%) but not suburban (0%) households. We quantify declines in home smoke-free policies as children age and identify geographic disparities for this environmental determinant of health.

IMPLICATIONS

Health promotion efforts targeting secondhand smoke prevention is needed, particularly for parents of older youth. Furthermore, there is a clear geographic bias in secondhand smoke exposure among all youth particularly older youth. Tailored interventions are needed to address geographic disparities in secondhand smoke exposure among rural and urban youth.

Management of primary hypertension in rural populations

ABSTRACT

Hypertension affects almost 20% of Canada's population and is even more prevalent in rural locations due to decreased availability of healthcare; lower income levels and levels of formal education; and higher rates of obesity, smoking, and alcohol use, among others. This article uses current evidence to describe the management of primary hypertension in rural populations.

Smoke-free Ordinances and Youth Tobacco Use in Kentucky

PURPOSE

Determine associations of strength of local smoke-free laws and urban/rural location with cigarette and smokeless tobacco use among high school students in grades 10 and 12.

DESIGN

Secondary data analysis from the 2004-2018 biennial Kentucky Incentives for Prevention Survey.

SETTING

Public high schools in Kentucky.

SAMPLE

N = 353502 10th/12th graders.

MEASURES

County-level smoke-free law status from the Kentucky Center for Smoke-free Policy; Rural Urban Continuum Codes; self-reported last 30-day alcohol, marijuana, cigarette, and smokeless tobacco use.

ANALYSIS

Generalized estimating equations modeling assessed the association of law status and urban/rural location with tobacco use across cohorts, controlling for demographics and other substance use.

RESULTS

Students in counties with a comprehensive smoke-free law were 23% less likely to smoke cigarettes and 16% less likely to use smokeless, compared to those in counties without a law. Students in counties with moderate/weak laws did not differ in likelihood of use for either product, compared to those in counties without a law. Students in urban counties were 14% less likely to smoke, but there was no difference in likelihood of smokeless use by urban/rural location.

CONCLUSION

Comprehensive smoke-free laws are associated with a lower likelihood of youth cigarette and smokeless use. Rural youth may be at increased risk of cigarette smoking relative to youth in urban areas.

Efficacy of an acceptance and commitment therapy-based smartphone application for helping rural populations quit smoking: Results from the iCanQuit randomized trial

Limited access to evidence-based smoking cessation interventions among rural populations contributes to high rates of cigarette smoking and poor cessation outcomes. Yet, accessible digital interventions for cessation focusing on rural populations are lacking. In a secondary analysis, we determined the acceptability and efficacy of an Acceptance and Commitment Therapy (ACT)-based smartphone application (iCanQuit) relative to a U.S. Clinical Practice Guidelines (USCPG)-based smartphone application (QuitGuide) for smoking cessation among rural participants enrolled in the two-arm randomized iCanQuit trial. Participants were enrolled between May 2017 and September 2018 and randomized to either receive iCanQuit or QuitGuide for 12-months. Rural residence was determined by sub-county level Rural-Urban Commuting Area codes. A total of 550 rural participants were recruited from 43 U.S. states. Self-reported complete-case 30-day point-prevalence abstinence was 15% (33/226) for iCanQuit vs. 9% (22/253) for QuitGuide at 3-months (OR = 1.83; 95% CI: 1.03, 3.25) and 29% (66/231) for iCanQuit vs. 25% (64/288) for QuitGuide at 12-months (OR = 1.19 95% CI: 0.80, 1.79). Retention rate was 89% at 12-months and did not differ by arm. iCanQuit vs. QuitGuide participants were significantly more engaged and satisfied with the iCanQuit application. Increased acceptance of internal cues to smoke mediated the effect of treatment on cessation. Findings suggest that iCanQuit had significantly higher short-term quit rates, descriptively higher long-term quit rates, and operated through its hypothesized mechanisms of action relative to QuitGuide. Future larger studies are needed to further evaluate the efficacy of and methods for disseminating the iCanQuit application for smoking cessation among U.S. rural adults nationwide. Trial registrationClinicalTrials.gov Identifier: NCT02724462.

Smoker characteristics and trends in tobacco smoking in Rakai, Uganda, 2010-2018

INTRODUCTION

Tobacco use is a major public health concern, particularly in low- and middle-income countries where 80% of the world's smokers reside. There is limited population-based data from rural Africa on patterns of tobacco smoking and smoker characteristics. We assessed trends in rates of smoking, characteristics of smokers, and factors associated with smoking using repeat population-based cross-sectional surveys in south-central Uganda.

METHODS

Data accrued over five survey rounds (2010-2018) of the Rakai Community Cohort Study (RCCS) from consenting individuals aged 15-49 years including sociodemographic and behavioral characteristics and smoking status. Proportions of smokers per survey were compared using χ2 test for trends, and factors associated with smoking were assessed by multivariable logistic regression.

RESULTS

The prevalence of tobacco smoking in the general population declined from 7.3% in 2010-2011 to 5.1% in 2016-2018, p<0.001. Smoking rates declined among males (13.9-9.2%) and females (2.2-1.8%) from 2010-2011 to 2016-2018. Smoking prevalence was higher among previously married (11.8-11.7%) compared to currently (8.4-5.3%) and never married persons (3.1-1.8%) from 2010-2011 to 2016-2018. Older age (≥35 years) was associated with higher odds of smoking (AOR=8.72; 95% CI: 5.68-13.39 in 2010-2011 and AOR=9.03; 95% CI: 5.42-15.06 in 2016-2018) compared to those aged <35 years (AOR=4.73; 95% CI: 3.15-7.12 in 2010-2011 and AOR=4.83; 95% CI: 2.95-7.91 in 2016-2018). Primary and secondary/higher education level was significantly associated with lower odds of smoking (AOR=0.20; 95% CI: 0.14-0.29 in 2010-2011 and AOR=0.26; 95% CI: 0.18-0.39 in 2016-2018) compared to no education (AOR=0.43; 95% CI: 0.31-0.59 in 2010-2011 and AOR=0.48; 95% CI: 0.34-0.68 in 2016-2018). Number of sexual partners and HIV status were not associated with smoking.

CONCLUSIONS

We observed declining trends in tobacco smoking in the Rakai region of rural Uganda. Smoking was more prevalent in men, older individuals, individuals who were previously married, and individuals with lower education. The decline in smoking may be due to tobacco control efforts, but there is a continued need to target sub-populations with higher smoking prevalence.

SMOKING, RURAL RESIDENCE AND DIABETES AS RISK FACTORS FOR PRESUMED OCULAR HISTOPLASMOSIS SYNDROME

PURPOSE

To investigate the relationship of smoking, urbanicity, and diabetes to presumed ocular histoplasmosis syndrome (POHS) and associated choroidal neovascularization (CNV).

METHODS

Medical records of 751 adult patients with POHS were reviewed, including 603 patients without CNV and 148 patients with CNV. Age-matched and gender-matched controls were randomly selected from the same practice for comparison. Statistical comparisons of smoking history, urbanicity, and diabetic history were performed using chi-square and conditional logistic regression analyses.

RESULTS

Increased rates of current or former smoking, rural residence, and diabetes were found in patients with POHS compared with controls. POHS patients with CNV had increased rates of current or former smoking and rural residence as compared with controls.

CONCLUSION

A history of current or past smoking is associated with an increased risk of developing both POHS alone and POHS with CNV. We did not find a significant additional risk of smoking on the development of CNV in patients with POHS. Patients living in rural locations are more likely than those in urban locations to develop both POHS and POHS with CNV. Diabetics may be more likely to develop POHS than nondiabetics.

Smoking, Health Risks, Coping Mechanisms and Depression in the age of COVID-19: a cross-sectional study of the Lebanese Population

Introduction

We compared depression of people who smoke and those who do not, depending on whether they have an underlying disease making them at risk for COVID-19. Moreover, we analyzed the factors associated with their depression.

Methods

We recruited 948 Lebanese residents, ages 18 and above. Our survey included the Patient Health Questionnaire-9 (PHQ-9) to assess depression. We divided participants, based on smoking and having a disease making one at risk for a COVID19 infection into four groups: non-smokers not at risk (NSNR), non-smokers at risk (NSR), smokers not at risk (SNR), and smokers at risk (SR).

Results

SR had PHQ-9 scores higher than other groups. The diet was not changed during the pandemic, whereas weight increased in all groups but SR. Those not at risk slept longer, while sports were decreased in NSR and SNR. Hobbies were decreased in all groups except SNR. Depending on the group, factors such as age, sex, residency, diet, exercise, sleep duration, and hobbies were associated with PHQ-9 scores.

Limitations

we cannot draw causal relationships. Participation required internet access, and participants might not represent the actual population due to the snowball effect. Also, recall bias might skew results. We did not inquire about sexual activity, which could be an essential coping mechanism.

Conclusion

Factors associated with depression for one group did not necessarily do so for another. Controlling the underlying risk or smoking cessation could move a patient to a group with more options associated with depression, thereby additional methods to decrease depression.

Smoke-Free Policy Disparities in Long-Term Care Facilities

Older adults in long-term care (LTC) facilities suffer disproportionately from health conditions caused or worsened by secondhand smoke. Long-term care facilities in many states and municipalities permit smoking. Americans for Nonsmokers’ Rights compiles data on smoke-free policies only in institutional facilities (e.g., nursing homes), but not in transitional (e.g., independent living) or community-based settings (e.g., adult day). A cross-sectional, observational study was conducted of smoke-free policies using cluster random sampling in Kentucky to compare differences in policy location of coverage and strength of smoke-free policies in institutional, transitional, and community-based LTC facilities by rural/urban status. Online or phone surveys of LTC administrators representing 306 facilities were conducted. Of the facilities sampled, 35.5% were institutional, 33.4% transitional, 25.1% community-based, and 6.0% multi-type. Only one in five (19.6%) facilities restricted smoking indoors and outdoors. Only 17.3% of the policies were comprehensive (i.e., prohibiting use of all tobacco products by all persons living, frequenting, or working in LTC facilities). Compared to transitional facilities, institutional and community-based facilities were more likely to have comprehensive policies and restrict smoking indoors and outdoors. Facilities located in rural communities were less likely to restrict smoking indoors or outdoors and less likely to have comprehensive smoke-free policies, reflecting a disparity in policy protections. Strong, consistent smoke-free policies and policy enforcement are needed to reduce the disparity in smoke-free protections for older adults, LTC employees, and visitors. More research is needed to investigate the best strategies for implementing and enforcing policies that completely restrict smoking in all LTC facilities.

Nativity Status and Poly Tobacco Use among Young Adults in the United States

Young adults are the second largest segment of the immigrant population in the United States (US). Given recent trends in later age of initiation of tobacco use, we examined variation in use of tobacco products by nativity status for this population group. Methods: Our study included young adults 18–30 years of age sampled in the National Health Interview Survey (2015–2019), a nationally representative sample of the US population. We calculated prevalence of use of any and two or more tobacco products (cigarettes, cigars, pipes, e-cigarettes, and smokeless tobacco) for foreign-born (n = 3096) and US-born (n = 6811) young adults. Logistic regression models were adjusted for age, sex, race-ethnicity, education, and poverty, while accounting for the complex survey design. Results: Foreign-born young adults were significantly less likely to use any tobacco product (Cigarette = 7.3% vs. 10.7%; Cigar = 1.8% vs. 4.8%; E-cigarette = 2.3% vs. 4.5%, respectively; p < 0.01) or poly tobacco use (1.9% vs. 4.2%; p < 0.01) than US-born young adults. Adjusted regression models showed lower odds of poly tobacco use among the foreign-born than their US-born counterparts (Odds Ratio = 0.41, (95% Confidence Interval: 0.26–0.63)). Conclusions: The findings highlight the importance of targeted interventions by nativity status and further tobacco prevention efforts needed for the US-born.

Traditional Cigarette and Poly-Tobacco Use Are Associated with Medical Opioid Use in Rural Areas of the US

Introduction: Medical prescriptions for opioids are higher in rural areas of the US as compared to urban areas. Tobacco use may also play a role in this process. This analysis examines the association between differing types of tobacco use and medical opioid use. Methods: We analyze the relationship between tobacco product use and medical opioid use among the US general population living in rural (non-metropolitan) areas using the publicly available sample adult file 2019 National Health Interview Survey (NHIS) (n = 5028). Tobacco use was classified into the following categories: only using cigarettes, only using e-cigarettes/vapes, only using cigars, only using smokeless tobacco, or using two or more of the following products. We used a binary logistic regression, controlling for individual differences. Results: Individuals who reported using only traditional cigarettes (and no other tobacco product, OR = 1.62, 95% CI: 1.31, 2.01), or who reported being a poly-tobacco users (OR = 2.13, 95% CI: 1.40, 3.22) had higher odds of medical opioid use in the last twelve months. Conclusion: Results suggest a link between tobacco use, particularly cigarette use and poly-tobacco use, and medical opioid use in rural communities. Clinical and structural level interventions need to be implemented in rural communities to reduce comorbid tobacco and opioid use.

Geographical distribution and social determinants of Tobacco 21 policy adoption and retail inspections in the United States, 2015-2019

INTRODUCTION

Tobacco control laws that raise the minimum age of tobacco sales to 21 years (T21) play a pivotal role in youth tobacco prevention, yet empirical data are sorely needed to inform enforcement, compliance efforts, and future legislation.

METHODS

Spatial analysis was conducted at the zip code level by geocoding the states and localities that adopted T21 ordinances from 2015 to 2019. A multi-level logistic regression model was conducted to examine disparities in neighborhood socioeconomic status (SES), FDA retail inspection, and state-level tobacco control policies associated with T21 adoption.

RESULTS

T21 adoption at the state and local level increased considerably from 1.4% of zip codes in 2015 to 40.2% in 2019. However, the T21 ordinances were disproportionally adopted in New England (82.6%) and Pacific (73.6%) regions with scarce coverage in East South Central (<0.1%), Mountain (1.6%), and West North Central regions (6.1%). The T21 policies were more likely to be adopted in areas with stronger tobacco control policies, urban areas (vs rural, adjusted odds ratio, AOR=1.25, p=0.005), areas with a larger Hispanic (AOR=1.19, p<0.0001) or Asian population (AOR=1.12, p<0.0001), and in areas where the population had higher levels of education (AOR=1.05, p<0.0001). It was less likely to be adopted in areas with larger proportions of American Indians, youths, and young adults. Nearly 40% of zip codes with tobacco retailers did not receive annual FDA tobacco retail inspections for underage sales in 2019. The average retail violation rate of underage sales of tobacco products in T21 regions was lower than in non-T21 regions.

CONCLUSIONS

Disparities in T21 adoption, retail inspections, and retail compliance may limit the policy impact. Unified enforcement of youth tobacco access restrictions with resources and interventions in vulnerable communities is needed to reduce tobacco-related health disparities.

Cumulative disadvantage as a framework for understanding rural tobacco use disparities

Traditional tobacco product (cigarettes and smokeless tobacco) and polytobacco use rates are significantly higher among rural adolescents and adults compared to their nonrural counterparts. Such disparities are due to several factors that promote tobacco use initiation and continuation, including individual-level psychopharmacological factors and structural-level factors such as fewer tobacco control efforts (e.g., fewer smoke-free policies and lower tobacco excise taxes), targeted tobacco marketing, less access to health-relevant resources, and more positive cultural norms surrounding tobacco use in rural communities. In this review, we use cumulative disadvantage theory as a framework for understanding how psychopharmacological and structural-level factors serve as drivers of tobacco use in rural areas. We start by describing how structural-level differences between rural-nonrural communities impact psychopharmacological influences and, when available, how these factors influence tobacco use. We conclude by discussing the interplay between factors, providing suggestions for ways to assess our application of cumulative disadvantage theory empirically and making recommendations for research and policy implementation in rural areas. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Social Factors of Health Care: a Thematic Analysis of First and Second Year Medical Student Reflections

BACKGROUND

Addressing health disparities is necessary to ensure appropriate care for patients. This study examined the impact of Clinical Week experiences on students' recognition of social determinants of health early in their medical education.

METHODS

A 5-day experience each of the first three semesters of medical school provided direct patient care experiences. Two Clinical Weeks were spent in outpatient clinics located primarily in rural areas. Students completed a reflective writing assignment about their experiences after each 5-day experience. Ninety-two reflections during AY 2018-2019 included discussions about social determinants of health. Two investigators analyzed these essays independently using narrative inquiry techniques. After inductive coding was complete, researchers discussed themes and their broader meaning.

RESULTS

Themes emerged related to health disparities experienced by rural communities, minority populations, and both uninsured and underinsured patients. Reflections emphasized a lack of public accommodations in rural settings, such as public transportation and access to healthy food. Students noted how ethnic, cultural, and linguistic identity affect a patient's experience with healthcare. Other themes involved the challenges patients face affording treatment plans and conversely how health status can impact economic stability. Finally, students emphasized the importance of physician advocacy in overcoming such barriers to quality health care.

CONCLUSIONS

Although not the emphasis of Clinical Week, students' reflections identified critical social issues impacting the health of patients they encountered. This experience could be adapted at other institutions.

Secondhand Smoke Exposure at Home and/or in a Vehicle: Differences Between Urban and Non-Urban Adolescents in the United States, From 2015 to 2018

INTRODUCTION

Secondhand smoke exposure during adolescence is linked to increased risk for cigarette smoking susceptibility and initiation. Non-urban youth may encounter a disproportionate number social and environmental risk factors for secondhand smoke exposure. Research is needed to explore geographic disparities in secondhand smoke exposure.

AIMS AND METHODS

Four years of National Youth Tobacco Survey (2015-2018) data were pooled. Participants were 69 249 middle and high school students. Multivariable logistic regression examined the relationship between geographic region and secondhand smoke exposure (1) at home and (2) in a vehicle. A multivariable, multinomial logistic regression examined the relationship between geographic region and number of sources of secondhand smoke exposure (ie, 0, 1 source, 2 sources). Covariates included sex, race/ethnicity, grade level, past 30-day tobacco use, and living with a tobacco user.

RESULTS

From 2015 to 2018, ~28.4% of middle and high school students reported secondhand smoke exposure either at home, in a vehicle, or both. Non-urban youth had greater odds of reporting secondhand smoke exposure at home (Adj OR: 1.26; 95% CI: 1.15 to 1.38) and in a vehicle (Adj OR: 1.50; 95% CI: 1.35 to 1.65), compared with urban youth. Similarly, non-urban youth had greater odds of reporting secondhand smoke exposure via one source (RRR: 1.21; 95% CI: 1.11 to 1.31) and two sources (RRR: 1.61; 95% CI: 1.42 to 1.82), relative to no exposure, than urban youth.

CONCLUSION

Secondhand smoke exposure at home and/or in a vehicle varies across geographic region. Targeted interventions should be developed and implemented to reduce secondhand smoke exposure among at-risk youth.

IMPLICATIONS

Findings showcase the need to address secondhand smoke exposure in non-urban areas and how it impacts adolescents. Public health interventions and regulatory policies aimed at improving social norms and expanding health infrastructure in rural communities should be designed and implemented in order to prevent and reduce secondhand smoke exposure among non-urban youth.

A novel approach to training educators to conduct school-based adolescent e-cigarette education and prevention: Using the Tobacco Prevention Toolkit

BACKGROUND AND OBJECTIVE

Emerging tobacco products, especially e-cigarettes, present a challenge for educators tasked with providing adolescent tobacco prevention education, as they typically have insufficient time to stay uptodate with the latest information on all tobacco products. To equip educators to implement e-cigarette and other prevention materials, we developed a novel, experiential training of the Tobacco Prevention Toolkit, comprising three components: (1) information session, (2) website navigation demonstration, and (3) hands-on curriculum demonstration allowing educators to present and practice Toolkit lessons.

METHODS

We evaluated this experiential training using a post-training survey, conducted with 486 participants (75% female) from 21 separate trainings. Surveys included demographic questions, training evaluation questions, and 4 open-ended questions administered via Qualtrics. Quantitative data were analyzed for frequencies via R statistical software. Qualitative data were analyzed using grounded theory.

RESULTS

Training participants overwhelmingly agreed or strongly agreed that their knowledge of e-cigarettes increased as a result of the training; they were satisfied with the overall training; and they indicated intention to use the Toolkit in the future. Participants favored the enthusiastic presenters, the information about e-cigarettes, the website navigation, and the curriculum demonstration features of the training. Participants requested more time for various components of the training, more in-depth information about e-cigarettes, and more direction for Toolkit implementation.

CONCLUSIONS

This novel, experiential training increased educator-reported knowledge of tobacco products and was overwhelmingly well-received, suggesting that such training can be important for effective dissemination of other e-cigarette prevention and intervention curricula.

Tobacco Use Status and Temptation to Try E-Cigarettes among a Sample of Appalachian Youth

E-cigarettes are commonly used tobacco products among youth populations, including Appalachian youth. However, knowledge of the extent to which tobacco use status relates to temptation to try e-cigarettes is limited. Data from the Youth Appalachian Tobacco Study (n = 1047) were used. Temptation to try e-cigarettes was derived from a 12-item situational inventory. Tobacco use status was defined as never, ever non-e-cigarette, and ever e-cigarette use. A factorial ANOVA was used to estimate the adjusted association between tobacco use status and the e-cigarette use temptation scale. Two-way interaction terms between tobacco use status and gender, and tobacco use status and race/ethnicity, were plotted to depict effect modification. Approximately 10% of youth were ever non-e-cigarette users and 24% were ever e-cigarette users. Never and ever non-e-cigarette user middle schoolers had higher temptation to try e-cigarettes than their high school counterparts. The same relationship was found among never and ever e-cigarette users living in households with tobacco users. The ANOVA results suggest a positive, monotonic relationship between tobacco use status and temptation to try e-cigarettes, and that the adjusted group means differ by gender and race/ethnicity. The findings can inform tobacco prevention interventions for youth at higher risk for e-cigarette use, especially youth who have not yet tried e-cigarettes.

Association between secondhand smoke exposure at home and cognitive performance among rural primary school children in Malaysia

INTRODUCTION

Secondhand smoke (SHS) exposure is linked to a series of serious health problems. Children may be particularly vulnerable to the effects of SHS exposure at home. This study aimed to determine the association between SHS exposure at home and cognitive performance in school children.

METHODS

A multistage sampling was performed across rural primary schools in Kuala Krai, Kelantan, Malaysia. Data were collected using self-administered questionnaires and the children aged 10-11 years (n=312) were subjected to cognitive tests including digit span, letter-number sequencing, coding, and symbol search. Cognitive performance was tested using subscales derived from the Wechsler Intelligence Scale for Children.

RESULTS

The prevalence of SHS exposure at home was 55.8%, where 11.9% of children lived with one smoker, while 43.9% of children lived with ≥2 smokers. There was a significant difference in the mean score of the combined cognitive tests between SHS-exposed and non-exposed children after adjustment for sex, parental educational level, family income and academic performance [Pillai's Trace=0.084, F statistic (df)=6.803 (4302), p<0.001].

CONCLUSIONS

More than half of the primary school children in rural Kuala Krai were exposed to SHS from at least one smoker at home. There was a significant association between SHS exposure at home and cognitive performance.

Changes in Tobacco Use Patterns during COVID-19 and Their Correlates among Older Adults in Bangladesh

The present study explored the changes in tobacco use patterns during the COVID-19 pandemic and their correlates among older adults in Bangladesh. This cross-sectional study was conducted among 1032 older adults aged ≥60 years in Bangladesh through telephone interviews in October 2020. Participants’ characteristics and COVID-19-related information were gathered using a pretested semi-structured questionnaire. Participants were asked if they noted any change in their tobacco use patterns (smoking or smokeless tobacco) during the COVID-19 pandemic compared to pre-pandemic (6 months prior to the survey). Nearly half of the participants (45.6%) were current tobacco users, of whom 15.9% reported increased tobacco use during the COVID-19 pandemic and all others had no change in their tobacco use patterns. Tobacco use was significantly increased among the participants from rural areas, who had reduced communications during COVID-19 compared to pre-pandemic (OR = 2.76, 95%CI:1.51–5.03). Participants who were aged ≥70 years (OR = 0.33, 95% CI: 0.14–0.77), widowed (OR = 0.36, 95% CI: 0.13–1.00), had pre-existing, non-communicable, and/or chronic conditions (OR = 0.44, 95% CI: 0.25–0.78), and felt themselves at the highest risk of COVID-19 (OR = 0.31, 95% CI: 0.15–0.62), had significantly lower odds of increased tobacco use. Policy makers and practitioners need to focus on strengthening awareness and raising initiatives to avoid tobacco use during such a crisis period.

Persistent disparities in smoking among rural Appalachians: evidence from the Mountain Air Project

BACKGROUND

Adult smoking prevalence in Central Appalachia is the highest in the United States, yet few epidemiologic studies describe the smoking behaviors of this population. Using a community-based approach, the Mountain Air Project (MAP) recruited the largest adult cohort from Central Appalachia, allowing us to examine prevalence and patterns of smoking behavior.

METHODS

A cross-sectional epidemiologic study of 972 participants aged 21 years and older was undertaken 2015-2017, with a response rate of 82%. Prevalence ratios and 95% confidence intervals for current smoking (compared to nonsmokers) were computed for the entire cohort then stratified by multiple characteristics, including respiratory health. Adjusted prevalence ratios for current smoking versus not smoking were also computed.

RESULTS

MAP participants reported current smoking prevalence (33%) more than double the national adult smoking prevalence. Current smoking among participants with a reported diagnosis of chronic obstructive pulmonary disease and emphysema was 51.5 and 53.3%, respectively. Compared to participants age 65 years and older, those age 45 years or younger reported double the prevalence of smoking (PR: 2.04, 95% CI: 1.51-2.74). Adjusted analyses identified younger age, lower education, unmet financial need, and depression to be significantly associated with current smoking.

CONCLUSIONS

Despite declining rates of smoking across the United States, smoking remains a persistent challenge in Central Appalachia, which continues to face marked disparities in education funding and tobacco control policies that have benefitted much of the rest of the nation. Compared with national data, our cohort demonstrated higher rates of smoking among younger populations and reported a greater intensity of cigarette use.