Prevalence and trends in smoking: a national rural study

Rural-Urban Disparities in the Continuum of Thyroid Cancer Care: Analysis of 92,794 Cases

Objective: Rurality is associated with higher incidence and higher disease-specific mortality for most cancers. Outcomes for rural and ultrarural ("frontier") patients with thyroid cancer are poorly understood. This study aimed to identify actionable deficits in thyroid cancer outcomes for rural patients. Methods: We queried linked California Cancer Registry and California Office of Statewide Health Planning and Development databases for patients diagnosed with thyroid cancer (1999-2017). We analyzed time from disease stage at diagnosis, time from diagnosis to surgery, receipt of appropriate radioactive iodine ablation, surveillance status, and overall and disease-specific mortality for urban, rural, and frontier patients. Cox and logistic regression models controlled for clinical and demographic covariates a stepwise manner. All incidence figures are expressed as a proportion of newly diagnosed cases. Results: Our cohort comprised 92,794 subjects: (65,475 women [70.6%]; mean age 50.0 years). Compared to urban patients, rural and frontier patients were more likely to be American Indian, White, uninsured, and from lower quintiles of socioeconomic status (p < 0.01). Distant disease at diagnosis was more common in rural (56.0 vs. 50.4 cases per 1000 new cases, p < 0.01) and frontier patients (80.9 vs. 50.4 per 1000, p < 0.01) compared to urban patients. The incidence of medullary thyroid cancer was greater in rural patients (17.9 vs. 13.6 cases per 1000, p < 0.01) and frontier patients (31.0 vs. 13.6 per 1000, p < 0.01) compared to urban patients. The incidence of anaplastic thyroid cancer was higher in frontier versus urban patients (15.5 vs. 7.1 per 1000, p < 0.01). When compared to urban patients, rural and frontier patients were more often lost to follow-up (odds ratio [OR] 1.69 [confidence interval, CI 1.54-1.85], and OR 3.03 [CI 1.89-5.26], respectively) and had higher disease-specific mortality (OR 1.18 [CI 1.07-1.30], and OR 1.92 [CI 1.22-2.77], respectively). Rural and frontier residence was independently associated with being lost to follow-up, suggesting that it is a key driver of disparities. Conclusion: Compared to their urban counterparts, rural and frontier patients with thyroid cancer present with later-stage disease and experience higher disease-specific mortality. They also are more often lost to follow-up, which presents an opportunity for targeted outreach to reduce the observed disparities in outcomes.

Do Patients Living in Rural Areas Report Inferior 1-Year Outcomes After Total Knee Arthroplasty? A Matched Cohort Analysis

BACKGROUND

Rural status has been associated with poor outcomes for several health problems, but its relationship and outcomes following total knee arthroplasty (TKA) has not been fully characterized. Patient-reported outcomes (PROs) are key measures of success following TKA. Therefore, this matched cohort study was designed to test the hypothesis that patients who live in rural settings will report significantly worse PRO scores 1 year after TKA when compared to those who live in urban or suburban settings.

METHODS

Patients undergoing TKA at our institution were categorized into urban, suburban, and rural cohorts based on Rural Urban Commuting Area scores using reported living setting zip codes. Cohorts were matched for body mass index classification. Demographic data were extracted from the medical records, and PRO data (Knee Injury and Osteoarthritis Outcome Score, Joint Replacement (KOOS JR), Patient-Reported Outcomes Measurement Information System (PROMIS) Global Health and Mental Health, University of California, Los Angeles (UCLA) Activity Score, and Visual Analog Scale Pain were collected preoperatively and 1-year postoperatively. Comparisons across living settings were made using analysis of variance (ANOVA) tests or Chi-square tests. A total of 882 TKA patients (n = 294 per cohort) were analyzed.

RESULTS

Patients living in urban areas had significantly lower preoperative pain scores compared to suburban and rural residents. All measured PROs significantly improved from preoperative levels at 1 year post-TKA with no significant differences among living setting cohorts.

CONCLUSIONS

In cohorts matched for body mass index, living in a rural setting was not associated with inferior PROs 1 year after TKA.

LEVEL OF EVIDENCE

Level 4, retrospective cohort study.

A comparison between perceived rurality and established geographic rural status among Indiana residents

The study assessed the association and concordance of the traditional geography-based Rural-Urban Commuting Area (RUCA) codes to individuals' self-reported rural status per a survey scale. The study included residents from rural and urban Indiana, seen at least once in a statewide health system in the past 12 months. Surveyed self-reported rural status of individuals obtained was measured using 6 items with a 7-point Likert scale. Cronbach's alpha was used to measure the internal consistency between the 6 survey response items, along with exploratory factor analysis to evaluate their construct validity. Perceived rurality was compared with RUCA categorization, which was mapped to residential zip codes. Association and concordance between the 2 measures were calculated using Spearman's rank correlation coefficient and Gwet's Agreement Coefficient (Gwet's AC), respectively. Primary self-reported data were obtained through a cross-sectional, statewide, mail-based survey, administered from January 2018 through February 2018, among a random sample of 7979 individuals aged 18 to 75, stratified by rural status and race. All 970 patients who completed the survey answered questions regarding their perceived rurality. Cronbach's alpha value of 0.907 was obtained indicating high internal consistency among the 6 self-perceived rurality items. Association of RUCA categorization and self-reported geographic status was moderate, ranging from 0.28 to 0.41. Gwet's AC ranged from -0.11 to 0.26, indicating poor to fair agreement between the 2 measures based on the benchmark scale of reliability. Geography-based and self-report methods are complementary in assessing rurality. Individuals living in areas of relatively high population density may still self-identify as rural, or individuals with long commutes may self-identify as urban.

Rural-urban disparities in mortality and geriatric assessment among older adults with cancer: The cancer & aging resilience evaluation (CARE) registry

INTRODUCTION

Rural-urban disparities persist in cancer mortality, despite improvement in cancer screening and treatment. Although older adults represent the majority of cancer cases and are over-represented in rural areas, few studies have explored rural-urban disparities in mortality and age-related impairments among older adults with cancer.

MATERIALS AND METHODS

We included 962 newly-diagnosed older adults (≥60 years) with cancer who underwent geriatric assessment (GA) at their first pre-chemotherapy visit to an academic medical center in the Southeastern United States. We used Rural-Urban Commuting Area (RUCA) codes to classify residence at time of diagnosis into urban and rural areas. We used one-year survival and pre-treatment frailty as outcomes. We used Cox proportional hazards regression to evaluate the association between residence and one-year mortality, and logistic regression to evaluate the association between residence and pre-treatment frailty. All tests were two-sided.

RESULTS

Median age at GA was 68.0 (interquartile rage [IQR]: 64.0, 74.0) years; most had colorectal cancer (24.3%) with advanced stage (III/IV 73.2%) disease. Overall, 11.4% resided in rural and 88.6% in urban areas. Rural areas had a higher proportion of White and less educated participants. After adjustment for age, sex, race, education, employment status, and cancer type/stage, rural residence was associated with higher hazard of one-year mortality (hazard ratio [HR] = 1.78, 95% confidence interval [CI] = 1.23, 2.57) compared to urban residence. Frailty was an effect modifier of this association (HROverall = 1.83, 95% CI = 1.27, 2.57; HRFrail = 2.05, 95% CI = 1.23, 3.41; HRNot Frail = 1.55, 95% CI = 0.90, 2.68).

DISCUSSION

Among older adults with newly diagnosed cancer, rural residence was associated with reduced one-year survival, particularly among frail older adults. The rural-urban disparities observed in the current study may be due to frailty in conjunction with disparities in social determinants of health across rural and urban areas. Future studies should focus on understanding and intervening on underlying causes of these disparities.

Cancer screening educational interventions in rural and farmworker communities: a systematic literature review

OBJECTIVES

Men and women living in rural communities of the United States (US) are less likely than those in urban or suburban communities to be up to date with cancer screenings. Delayed screening contributes to later stage at diagnosis and higher cancer mortality for individuals living in rural areas. These effects may be compounded in some rural subpopulations (e.g. migrant and seasonal farmworkers). This systematic review examines educational interventions aimed at increasing colorectal, breast, prostate, oral, and/or cervical cancer screening in the rural US, with special consideration for the farmworker subpopulation.

DESIGN

Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, our systematic literature review employed the following databases: Ovid MEDLINE, CINAHL Complete, Embase, and Web of Science. Search terms included, but were not limited to 'rural,' 'cancer screening,' 'farmworker,' and 'cancer prevention.' Eligible studies featured an educational intervention implemented in agricultural or rural US settings with a cancer screening behavioral outcome, male and/or female participants, and were published in English between 2002 and 2020. Article screening and data extraction were conducted by two independent reviewers.

RESULTS

Twenty-six articles were eligible. Of the six studies focused on the farmworker population (n=2,732), 61.75% of participants reported Hispanic ethnicity. Of the sixteen studies on unspecified rural communities reporting participant race/ethnicity (n=10,442), 39.29% reported Black/African American race. Efficacious interventions included culturally-targeted educational materials, lay health advisors (LHAs), and components that addressed practical barriers (e.g. financial or logistical).

CONCLUSION

Results demonstrate the value of LHAs and targeted education to increase screening for multiple cancer types in rural communities. Prospective research should incorporate and facilitate access to screening and provider-level and/or organizational-level interventions to increase overall impact.

ABBREVIATIONS

HPV: human papillomavirus; LHA: lay health advisors; MeSH: Medical Subject Headings; PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses; RCT: randomized controlled trial; US: United States.

Lung cancer screening in rural primary care practices in Colorado: time for a more team-based approach?

BACKGROUND

Despite lung cancer being a leading cause of death in the United States and lung cancer screening (LCS) being a recommended service, many patients eligible for screening do not receive it. Research is needed to understand the challenges with implementing LCS in different settings. This study investigated multiple practice members and patient perspectives impacting rural primary care practices related to LCS uptake by eligible patients.

METHODS

This qualitative study involved primary care practice members in multiple roles (clinicians n = 9, clinical staff n = 12 and administrators n = 5) and their patients (n = 19) from 9 practices including federally qualified and rural health centers (n = 3), health system owned (n = 4) and private practices (n = 2). Interviews were conducted regarding the importance of and ability to complete the steps that may result in a patient receiving LCS. Data were analyzed using a thematic analysis with immersion crystallization then organized using the RE-AIM implementation science framework to illuminate and organize implementation issues.

RESULTS

Although all groups endorsed the importance of LCS, all also struggled with implementation challenges. Since assessing smoking history is part of the process to identify eligibility for LCS, we asked about these processes. We found that smoking assessment and assistance (including referral to services) were routine in the practices, but other steps in the LCS portion of determining eligibility and offering LCS were not. Lack of knowledge about screening and coverage, patient stigma, and resistance and practical considerations such as distance to LCS testing facilities complicated completion of LCS compared to screening for other types of cancer.

CONCLUSIONS

Limited uptake of LCS results from a range of multiple interacting factors that cumulatively affect consistency and quality of implementation at the practice level. Future research should consider team-based approaches to conduct of LCS eligibility and shared decision making.

A double disparity: Rural sexual minorities and tobacco use among U.S. adults

BACKGROUND

Marginalized groups continue to face an uneven distribution of the risks and consequences of smoking cigarettes, with rural/urban geography and sexual orientation status examined independently. However, little is known about the intersection of rural/urban geography and sexual orientation regarding tobacco use disparities. This study examined rural-urban sexual minority differences in tobacco use in the United States.

METHODS

Data came from the 2018-2020 Behavioral Risk Factor Survey System (N = 675,221). We estimated cigarette smoking prevalence for each year of survey data by rural/urban status and sexual orientation. Multivariable logistic regressions were used to assess associations of rural/urban location and sexual orientation status with cigarette use. Additional Multivariable logistic regressions were conducted, including stratified analyses by sex on multiple sexual orientation categories.

FINDINGS

Cigarette smoking was higher among participants who lived in rural areas and identified as lesbian or gay and bisexual. Furthermore, the disparities in smoking rates were significantly different, with 38 % higher odds of smoking among rural sexual minorities than urban sexual minorities (aOR = 1.38, 95 % CI = 1.19, 1.60). Stronger odds of cigarette smoking were found among rural gays or lesbians (aOR = 1.83, 95 % CI = 1.47, 2.28) and rural bisexuals (aOR = 2.40, 95 % CI = 2.03, 2.84) compared to urban straight counterparts.

CONCLUSION

Findings highlight rural populations, particularly sexual minorities, might have an elevated risk of cigarette use. Prevention and cessation efforts that help these especially disadvantaged groups will be beneficial in addressing tobacco use disparities.

Smoking and the widening inequality in life expectancy between metropolitan and nonmetropolitan areas of the United States

Background

Geographic inequality in US mortality has increased rapidly over the last 25 years, particularly between metropolitan and nonmetropolitan areas. These gaps are sizeable and rival life expectancy differences between the US and other high-income countries. This study determines the contribution of smoking, a key contributor to premature mortality in the US, to geographic inequality in mortality over the past quarter century.

Methods

We used death certificate and census data covering the entire US population aged 50+ between Jan 1, 1990 and Dec 31, 2019. We categorized counties into 40 geographic areas cross-classified by region and metropolitan category. We estimated life expectancy at age 50 and the index of dissimilarity for mortality, a measure of inequality in mortality, with and without smoking for these areas in 1990-1992 and 2017-2019. We estimated the changes in life expectancy levels and percent change in inequality in mortality due to smoking between these periods.

Results

We find that the gap in life expectany between metros and nonmetros increased by 2.17 years for men and 2.77 years for women. Changes in smoking-related deaths are responsible for 19% and 22% of those increases, respectively. Among the 40 geographic areas, increases in life expectancy driven by changes in smoking ranged from 0.91 to 2.34 years for men while, for women, smoking-related changes ranged from a 0.61-year decline to a 0.45-year improvement. The most favorable trends in years of life lost to smoking tended to be concentrated in large central metros in the South and Midwest, while the least favorable trends occurred in nonmetros in these same regions. Smoking contributed to increases in mortality inequality for men aged 70+, with the contribution ranging from 8 to 24%, and for women aged 50-84, ranging from 14 to 44%.

Conclusions

Mortality attributable to smoking is declining fastest in large cities and coastal areas and more slowly in nonmetropolitan areas of the US. Increasing geographic inequalities in mortality are partly due to these geographic divergences in smoking patterns over the past several decades. Policies addressing smoking in non-metropolitan areas may reduce geographic inequality in mortality and contribute to future gains in life expectancy.

Changes in Attitudes toward Tobacco Smoking and Factors Associated with Quitting in 9-Year Observation of PURE Poland Cohort Study

(1) Background: This study aims to examine changes in tobacco smoking prevalence in the PURE Poland cohort study over the 9-year follow-up period. Moreover, it attempts to identify socio-demographic factors that affect changes in attitudes towards tobacco smoking. (2) Methods: The PURE Poland cohort study—baseline was performed in 2007–2010 and covered 2036 participants, including urban (59.4%) and rural (40.6%) residents of Lower Silesia, Poland. The following study reports the results of 1690 participants who took part in both the baseline (2007–2010) study and 9-year follow-up (2016–2019). (3) Results: There was a 3.5% decrease in current smokers during the analyzed period (from 20.2% at the baseline study to 16.7% in the 9-year follow-up). Living in rural area increased the likelihood of being a current smoker by more than 1.5-fold (OR = 1.65 CI = 1.26–2.14) and decreased the likelihood of being a former smoker (OR = 0.70 CI = 0.57–0.86). In the 9-year follow-up period, more women were current smokers than men (17.2% vs. 16.0%) and women had lower chances of being former smokers than men (OR = 0.77 CI = 0.62–0.95). People with a primary education had 1.5-fold higher likelihood of being a current smoker (OR = 1.45 CI = 1.03–2.05). Nearly 11% significant increase in the percentage of current smokers was observed in the oldest age group (1.9% in the baseline study vs. 12.6% in the follow-up period). (4) Conclusions: The results obtained during 9 years of observation indicate the necessity of intensifying anti-tobacco programs especially targeting women, elderly population, people with lower level of education, rural residents, and the unemployed.

Perceptions of COVID-19 Mitigation Strategies between Rural and Non-Rural Adults in the US: How Public Health Nurses Can Fill the Gap

The purpose of this study was to capture the perceptions of COVID-19 mitigations' efficacy of rural and non-rural participants, using the health belief model (HBM), as well as to describe where public health nursing may be able to fill behavior gaps in rural communities. Rural and non-rural participants completed electronic surveys. Surveys collected demographic information and perceptions of various mitigation strategies' effectiveness. Rurality was significantly associated with perceptions of the effectiveness of public health mitigation strategies including wearing facemasks, limiting time indoors, avoiding gatherings, non-essential business closure, and staying home. Our findings suggest people in rural areas perceive mitigations to be effective. Other researchers have consistently shown rural residents are least likely to partake in the same mitigations. Rural public health nurses on the front line serve as the key to closing the aforementioned gap. Understanding where their community's perceptions lie is pivotal in creating educational programs to continue mitigation efforts as we embark on the second year of this pandemic.

The rural identity scale: Development and validation

PURPOSE

The purpose of this study was to conduct a psychometric evaluation of a new 35-item survey developed in the United States to measure rural identity.

METHODS

Factor structure, reliability, convergent validity, and incremental validity of the Rural Identity Scale (RIS) were examined using two datasets. Study 1 examined RIS psychometric properties using survey data collected from substance use treatment counselors in a southeastern state (n = 145), while Study 2 used data collected from women incarcerated in rural jails (n = 400).

FINDINGS

A one-factor structure containing 15 items was identified in the RIS, with acceptable internal reliability (α = .72-.83). In Study 1, participants from rural counties had significantly higher RIS scores than their urban counterparts. In both studies, convergent validity was evaluated and the RIS scores were significantly associated with other measures relevant to identity and rurality at the bivariate level. Incremental validity was supported in multivariable models as the RIS scores were significantly and uniquely associated with primary rural place variables in each sample.

CONCLUSIONS

This study is an initial step toward a reliable, valid scale measuring rural identity. RIS may be especially beneficial to health research as a methodological tool that can contextualize health behaviors among rural populations and highlight potential interventions to promote health equity.

Coronary Artery Calcifications and Cardiac Risk After Radiation Therapy for Stage III Lung Cancer

PURPOSE

Heart dose and heart disease increase the risk for cardiac toxicity associated with radiation therapy. We hypothesized that computed tomography (CT) coronary calcifications are associated with cardiac toxicity and may help ascertain baseline heart disease.

METHODS AND MATERIALS

We analyzed the cumulative incidence of cardiac events in patients with stage III non-small cell lung cancer receiving median 74 Gy on prospective dose-escalation trials. Events were defined as symptomatic effusion, pericarditis, unstable angina, infarction, significant arrhythmia, and/or heart failure. Coronary calcifications were delineated on simulation CTs using radiation software program (130 HU threshold). Calcifications were defined as "none," "low," and "high," with median volume dividing low and high.

RESULTS

Of 109 patients, 26 had cardiac events at median 26 months (range, 1-84 months) after radiation therapy. Median follow-up in surviving patients was 8.8 years (range, 2.3-17.3). On simulation CTs, 64 patients (59%) had coronary calcifications with median volume 0.2 cm³ (range, 0.01-8.3). Only 16 patients (15%) had baseline coronary artery disease. Cardiac events occurred in 7% (3 of 45), 29% (9 of 31), and 42% (14 of 33) of patients with no, low, and high calcifications, respectively. Calcification burden was associated with cardiac toxicity on univariate (low vs none: hazard ratio [HR] 5.0, P = .015; high vs none: HR 8.1, P < .001) and multivariate analyses (low vs none: HR 7.0, P = .005, high vs none: HR 10.6, P < .001, heart mean dose: HR 1.1/Gy, P < .001). Four-year competing risk-adjusted event rates for no, low, and high calcifications were 4%, 23%, and 34%, respectively.

CONCLUSIONS

The presence of coronary calcifications is a cardiac risk factor that can identify high-risk patients for medical referral and help guide clinicians before potentially cardiotoxic cancer treatments.

Mobile Health Tobacco Cessation Interventions to Promote Health Equity: Current Perspectives

Although US tobacco use trends show overall improvement, social disadvantage continues to drive significant disparities. Traditional tobacco cessation interventions and public policy initiatives have failed to equitably benefit socially-disadvantaged populations. Advancements in mobile digital technologies have created new opportunities to develop resource-efficient mobile health (mHealth) interventions that, relative to traditional approaches, have greater reach while still maintaining comparable or greater efficacy. Their potential for affordability, scalability, and efficiency gives mHealth tobacco cessation interventions potential as tools to help redress tobacco use disparities. We discuss our perspectives on the state of the science surrounding mHealth tobacco cessation interventions for use by socially-disadvantaged populations. In doing so, we outline existing models of health disparities and social determinants of health (SDOH) and discuss potential ways that mHealth interventions might be optimized to offset or address the impact of social determinants of tobacco use. Because smokers from socially-disadvantaged backgrounds face multi-level barriers that can dynamically heighten the risks of tobacco use, we discuss cutting-edge mHealth interventions that adapt dynamically based on context. We also consider complications and pitfalls that could emerge when designing, evaluating, and implementing mHealth tobacco cessation interventions for socially-disadvantaged populations. Altogether, this perspective article provides a conceptual foundation for optimizing mHealth tobacco cessation interventions for the socially-disadvantaged populations in greatest need.

The Intersection of Rural Residence and Minority Race/Ethnicity in Cancer Disparities in the United States

One in every twenty-five persons in America is a racial/ethnic minority who lives in a rural area. Our objective was to summarize how racism and, subsequently, the social determinants of health disproportionately affect rural racial/ethnic minority populations, provide a review of the cancer disparities experienced by rural racial/ethnic minority groups, and recommend policy, research, and intervention approaches to reduce these disparities. We found that rural Black and American Indian/Alaska Native populations experience greater poverty and lack of access to care, which expose them to greater risk of developing cancer and experiencing poorer cancer outcomes in treatment and ultimately survival. There is a critical need for additional research to understand the disparities experienced by all rural racial/ethnic minority populations. We propose that policies aim to increase access to care and healthcare resources for these communities. Further, that observational and interventional research should more effectively address the intersections of rurality and race/ethnicity through reduced structural and interpersonal biases in cancer care, increased data access, more research on newer cancer screening and treatment modalities, and continued intervention and implementation research to understand how evidence-based practices can most effectively reduce disparities among these populations.

Exposure to secondhand smoke among school-going adolescents in Malaysia: Findings from the tobacco and e-cigarettes survey among Malaysian adolescents (TECMA)

INTRODUCTION

Many studies have revealed that exposure to secondhand smoke (SHS) substantially increases the risk of smoking related diseases especially among the vulnerable groups, yet data on the location of SHS exposure among youth in Malaysia are still lacking. The study aims to describe the prevalence and factors associated with SHS exposure at home, outside the home, and inside the school among school-going adolescents in Malaysia.

METHODS

We derived the data from the TECMA study, which used a cross-sectional study design and multi-stage sampling method to obtain a representative sample of school-going adolescents aged 11-19 years in Malaysia in 2016. Data were collected through a self-administered approach using a pre-validated standard questionnaire. Descriptive and multivariate analyses were used to analyze the data, and results are presented as adjusted odds ratio (AOR) with 95% confidence interval (95% CI).

RESULTS

SHS exposure for the past seven days was higher outside the home (51.2%; 95% CI: 49.2-53.2) compared to at home (37.8%; 95% CI: 35.8-39.9) while 27.3% (95% CI: 25.1-29.5) of school-going adolescents reported exposure to SHS inside the school in the past one month. In the regression analyses, older adolescents, those of Malay and Bumiputra Sarawak ethnicities, adolescents from rural areas and current smokers had higher likelihood of exposure to SHS at home, outside home and inside the school. Our study also found that adolescents who were current smokers had higher odds of being exposed to SHS at home (AOR=2.87; 95% CI: 2.57-3.21), outside the home (AOR=3.46; 95% CI: 3.05-3.92) and in the school (AOR=2.25; 95% CI: 2.01-2.51).

CONCLUSIONS

Health promotion measures should target parents/guardians and household members to reduce SHS exposure among adolescents. In addition, smoke-free regulation should be fully enforced in school. Furthermore, more public places should be designated non-smoking areas to reduce SHS exposure and denormalize smoking behavior.

The differential impact of nicotine replacement therapy sampling on cessation outcomes across established tobacco disparities groups

Cigarette smoking is increasingly concentrated among marginalized populations with limited access to evidence-based cessation treatment. This includes racial/ethnic minorities, lower income individuals, those with lower educational attainment, and residents of rural areas. To reach Healthy People 2020 objectives, successful cessation interventions must narrow these disparities. Nicotine replacement therapy (NRT) sampling is an easily translatable and scalable intervention that could enhance treatment access and thus narrow disparities. The present study examined individual-level demographic moderators of the impact of NRT sampling on cessation-related behaviors including: 1) use of a cessation medication, 2) making a 24-hour quit attempt, 3) floating abstinence, and 4) 7-day point prevalence abstinence at 6-months. Study participants included N = 1245 adult smokers enrolled in the Tobacco Intervention in Primary Care Treatment Opportunities for Providers (TIP TOP) study, a recently concluded large-scale clinical trial of NRT sampling relative to standard care within 22 primary care clinics across South Carolina. Generalized linear models examined individual-level demographic moderators of treatment effect. Results suggest that NRT sampling may be more effective among some of the most disadvantaged groups of smokers, including smokers with lower income and education, as well those who live in more rural areas. The effects of NRT sampling did not differ by race. In sum, NRT sampling is a low-cost, low-burden intervention that could be disseminated broadly to reach large numbers of smokers and potentially narrow cessation disparities.

Differences in cancer survival by remoteness of residence: an analysis of data from a population-based cancer registry

PURPOSE

Cancer survival is generally lower for rural compared with urban residents, but findings have been inconsistent. We aimed to assess inequalities in cancer survival by remoteness of residence in Victoria, Australia.

METHODS

Incident cancer cases diagnosed in 2001-2015 with 30 cancer types (n = 331,302) were identified through the Victorian Cancer Registry and followed to the end of 2015 through death registries. Five-year net survival was estimated using the Pohar-Perme method and differences assessed by excess mortality rate ratios (EMRRs) using Poisson regression, adjusting for sex, age and year of diagnosis. EMRRs adjusted for socio-economic disadvantage were also estimated.

RESULTS

People living outside major cities had lower survival for 11 cancers: esophagus, stomach, colorectum, liver, gallbladder/biliary tract, pancreas, lung, connective/soft tissue, ovary, prostate, kidney. No differences in survival were found for cancers of uterus, small intestine and mesothelioma. After adjusting for socio-economic disadvantage, the observed differences in survival decreased for most cancers and disappeared for colorectal cancer, but they remained largely unchanged for cancers of esophagus, stomach, liver, pancreas, lung, connective/soft tissue, ovary and kidney.

CONCLUSION

People with cancer residing outside major cities had lower survival from some cancers, which is partly due to the greater socio-economic disadvantage of rural residents.

Association of Rurality With Survival and Guidelines-Concordant Management in Early-stage Non-Small Cell Lung Cancer

BACKGROUND

Rural populations of the United States have not experienced a similar degree of decline in lung cancer mortality recently seen nationwide. Several investigations examining survival differences in rural lung cancer patients have been incongruent. We investigated the association of rural residence with survival outcomes and receipt of guidelines-concordant treatment in early-stage non-small cell lung cancer (NSCLC).

METHODS

Retrospective study of National Cancer Data Base patients with NSCLC diagnosed from 2004 to 2015. Comparisons of survival outcomes and guidelines-concordant management with lobectomy or stereotactic body radiation therapy among rural and nonrural patients, classified according to the US Department of Agriculture's Rural-Urban Continuum Codes.

RESULTS

We identified 840,566 patients; 18.7% resided in rural areas. Rurality was associated with greater proportions of males, white patients, and higher comorbidities. Larger proportions of rural stage I patients (53.4%) did not undergo guidelines-concordant management with lobectomy or stereotactic body radiation therapy relative to nonrural patients (50.1%, P<0.001). Although rural patients within each stage at diagnosis have a significant disparity in overall survival (OS), stage I NSCLC had the largest absolute difference (nonrural=61.4 mo, rural=50.3 mo, difference of 11.1 mo, P<0.0001). In multivariable Cox regression, rurality was independently associated with impaired survival in both all-stages (hazard ratio=1.08, P<0.001) and stage I NSCLC (hazard ratio=1.09, P<0.001).

CONCLUSIONS

Small differences exist in OS among all rural NSCLC patients, but rural patients with stage I NSCLC have a marked disadvantage in OS. Rurality is an independent risk factor for decreased survival in all-stages and stage I NSCLC.

Low Burden Strategies Are Needed to Reduce Smoking in Rural Healthcare Settings: A Lesson from Cancer Clinics

Rural populations face significant smoking-related health disparities, such as a higher prevalence of lung cancer and cancer mortality, higher prevalence of smoking, and lower likelihood of receiving cessation treatment than urban counterparts. A significant proportion of health disparities in rural populations could be eliminated with low-barrier, easy-access treatment delivery methods for smoking cessation. In this study, we assessed treatment engagement among patients in rural and urban settings. Then, we examined the effect of an electronic health record-based smoking cessation module on patient receipt of evidence-based cessation care. As part of a quality improvement project, we retrospectively observed 479,798 unique patients accounting for 1,426,089 outpatient clinical encounters from June 2018-March 2019 across 766 clinics in the greater St. Louis, southern Illinois, and mid-Missouri regions. Smoking prevalence was higher in rural versus urban clinics (20.7% vs. 13.9%, 6.7% [6.3, 7.1], odds ratio = 1.6 [1.6, 1.6], p < 0.0001), and yet rural smokers were nearly three times less likely than their urban counterparts to receive any smoking cessation treatment after adjusting for patients clustering within clinics (9.6% vs. 25.8%, -16.2% [-16.9, -15.5], odds ratio = 0.304 [0.28, 0.33], p < 0.0001). Although not yet scaled up in the rural setting, we examined the effects of a low-burden, point-of-care smoking module currently implemented in cancer clinics. After adjusting for patient clustering within clinics, patients were more likely to receive smoking treatment in clinics that implemented the module versus clinics that did not implement the module (31.2% vs. 17.5%, 13.7% [10.8, 16.6], odds ratio = 2.1 [1.8, 2.6], p < 0.0001). The point-of-care treatment approach offers a promising solution for rural settings, both in and outside the context of cancer care.

Cigarette Prices in Rural and Urban Ohio: Effects of Census Tract Demographics

The prevalence of smoking among rural Americans and Americans of lower socioeconomic status (SES) remains higher than among their urban and higher SES counterparts. Potential factors contributing to these disparities are area-based differences in the retail environment and tobacco control policies. We describe the association between neighborhood demographics and cigarette prices in rural and urban areas. Prices of one pack of Marlboro Reds, Newport menthols, and the cheapest cigarettes in the store were recorded from a stratified random sample of tobacco retailers in urban (N = 104) and rural (N = 109) Ohio in 2016. Associations between prices and census tract demographics (SES and race) were modeled separately in each region, controlling for store type. In the rural region, as the census tract income increased, the price of Marlboro and Newport cigarettes decreased, and the price of the cheapest pack of cigarettes increased. In the urban region, as the census tract income and percentage of White non-Hispanic people increased, the price of Marlboro decreased; there were no associations between census tract characteristics and the price of Newports or the cheapest cigarettes. Results describe a complex association between cigarette brand, prices, and area characteristics, where the cheapest brands of cigarettes can be obtained for the lowest prices in lower SES rural areas. Tobacco control policies that raise the price of cheap cigarettes, particularly minimum price laws, have the potential to reduce SES-related smoking disparities in both rural and urban populations.

Trends in cigarette smoking among American Indians and Alaska Natives in the USA: 1992-2015

PURPOSE

While smoking prevalence may be declining in the general population, health disparities in tobacco use remain a public health priority. This study examined national, sociodemographic, and geographic trends in American Indians and Alaska Natives (AIs/ANs) smoking prevalence from 1992/1993 to 2014/2015. Additionally, correlates of cigarette smoking were examined among this group.

METHODS

Data were drawn from the 1992-2015 Tobacco Use Supplement to the Current Population Survey. Cochran-Armitage tests were used to assess changes in the prevalence of smoking over time in the population, as well by sociodemographic characteristics. Multivariable logistic regression was conducted to examine the correlates of cigarette smoking for AIs/ANs in 2014/2015.

RESULTS

The trend analysis indicated that the prevalence of smoking, among AIs/ANs, decreased significantly from 39.1% in the 1992/1993 cycle to 20.9% in the 2014/2015. This decrease was seen in both males and females, with the prevalence of smoking decreasing from 43.6% and 35.4%, respectively, in 2006/2007 to 23.8% and 18.3% in 2014/2015. The decreasing trend was also found for all subgroups, except for the 55+ age group. Multivariable analysis showed higher odds of smoking among males, those with low income compared to those with median or higher income, and those living in non-metropolitan areas. Those aged 25-54 were more likely to be smokers compared with the 55+ age group.

CONCLUSIONS

Results indicate a recent decrease in AIs/ANs smoking prevalence, although these populations still experience a high prevalence of smoking compared to the general population. Our findings highlight the need for a comprehensive tobacco control strategy that includes working with stakeholders within the AI/AN community.

Cost Per Participant Recruited From Rural and Remote Areas Into a Smoking Cessation Trial Via Online or Traditional Strategies: Observational Study

Background

Rural and remote residents are more likely to smoke than those who live in major cities; however, recruitment of research participants from rural and remote areas can be challenging. The cost per participant recruited from rural and remote areas via online (eg, social media) and traditional strategies (eg, print) has implications for researchers on how to allocate resources to maximize the number of participants recruited. Participant characteristics such as demographics, financial stress, mental health, and smoking-related factors may be associated with recruitment method (ie, online vs traditional), and so it is important to understand whether certain subgroups are more likely to be recruited via a particular strategy.

Objective

This study aimed to determine the cost per participant recruited and examine whether characteristics such as demographics, financial stress, mental health, and smoking-related factors may be associated with the recruitment method (ie, online vs traditional).

Methods

Participants were recruited into a randomized trial that provided smoking cessation support. Eligible participants were aged 18 years or older; used tobacco daily; had access to video communication software, internet, and telephone; had an email address; and lived in a rural or remote area of New South Wales, Australia. This study describes the natural (observed) experience of recruiting participants via online and traditional methods into a smoking cessation trial.

Results

Over 17 months, 655 participants were recruited into the smoking cessation trial. A total of 88.7% (581/655) of the participants were recruited via online methods. Moreover, 1.8% (12/655) of the participants were recruited from remote locations and none from very remote areas. The cost per participant recruited by the various online strategies ranged from Aus $7.29 (US $4.96, £4.09, and €4.43) for Gumtree, a local online classified website, to Aus $128.67 (US $87.63, £72.20, and €78.28) for email. The cost per participant recruited using traditional strategies ranged from Aus $0 (US $0, £0, and €0) for word of mouth to Aus $3990.84 (US $2757.67, £2227.85, and €2477.11) for telephone. Women had greater odds of being recruited via online methods than men (odds ratio 2.50, 95% CI 1.42-4.40). No other characteristics were associated with the recruitment method.

Conclusions

The cost per participant recruited via online and traditional strategies varied, with the range being smaller for online than traditional recruitment strategies. Women have greater odds of being recruited via online strategies into rural smoking cessation trials.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12617000514303; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372584&isReview=true

Congestive heart failure-related hospital deaths across the urban-rural continuum in the United States

Congestive heart failure (CHF) is a growing public health problem that affects nearly 6.5 million individuals nationwide. Access to quality outpatient care and disease management programs has been shown to improve disease treatment and prognosis. Rural populations face unique challenges in the availability and accessibility of quality cardiovascular care. In 2018, we conducted a pooled cross-sectional analysis of the Nationwide Inpatient Sample (NIS) for 2009–2014 to examine recent trends in CHF-related hospital deaths in the United States, highlighting urban-rural differences within each census region. We performed a multivariable logistic regression analysis to compare the odds of CHF-related hospital death, by levels of rurality and within each census region. Most CHF-related hospital deaths occurred in the South and Midwest census regions and in large central metropolitan areas. Findings from census region stratified models revealed that non-core residents living within the West (OR 1.47, CI 1.26, 1.71), Midwest (OR 1.30, CI 1.17, 1.44), and South (OR = 1.21, 95% C.I. = 1.12–1.32) had a higher relative risk (but not higher absolute numbers) of experiencing death during a CHF-related hospitalization, compared to patients in large central metropolitan areas. Within each census region, there were also differences in odds of a CHF-related hospital death depending on patient sex, comorbidities, insurance type, median annual income, and year. As efforts to reduce rural health disparities in CHF morbidity continue, more work is needed to understand and test interventions to reduce the risk of death from CHF in noncore areas of the West, Midwest, and South.

Rural-urban residence and cancer survival in high-income countries: A systematic review

There is some evidence that place of residence is associated with cancer survival, but the findings are inconsistent, and the underlying mechanisms by which residential location might affect survival are not well understood. We conducted a systematic review of observational studies investigating the association of rural versus urban residence with cancer survival in high-income countries. We searched the Ovid Medline, EMBASE, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) databases up to May 31, 2016. Forty-five studies published between 1984 and 2016 were included. We extracted unadjusted and adjusted relative risk estimates with the corresponding 95% confidence intervals. Most studies reported worse survival for cancer patients living in rural areas than those in urban regions. The most consistent evidence, observed across several studies, was for colorectal, lung, and prostate cancer. Of the included studies, 18 did not account for socio-economic position. Lower survival for more disadvantaged patients is well documented; therefore, it could be beneficial for future research to take socio-economic factors into consideration when assessing rural/urban differences in cancer survival. Some studies cited differential stage at diagnosis and treatment modalities as major contributing factors to regional inequalities in cancer survival. Further research is needed to disentangle the mediating effects of these factors, which may help to establish effective interventions to improve survival for patients living outside major cities.

Cigarette smoking rates among veterans: Association with rurality and psychiatric disorders

AIMS

Compared to the general U.S. population, military veterans and those living in rural areas disproportionately smoke cigarettes at higher rates, leading to increased health consequences. In the current study, prevalence and severity of cigarette smoking in Iraq and Afghanistan era veterans was assessed across rural and urban areas and comorbid mental health disorders.

METHOD

Iraq/Afghanistan era veterans who participated in the Post-Deployment Mental Health study from 2005 to 2017 (N = 3229) were cross-sectionally assessed for the probability of being a current cigarette smoker based on locality status and psychiatric comorbidity. Multivariate logistic and linear regressions, adjusted for demographic characteristics, were used to model the odds of being a current smoker and the severity of nicotine dependence, respectively.

RESULTS

Veterans residing in rural regions, veterans with psychiatric comorbidities, and the interaction of locality and psychiatric disorders were significantly associated with smoking rates. Those veterans living in extremely rural areas and, independently, those living with psychiatric comorbidities were also more severely dependent on nicotine compared to urban veterans and veterans without psychiatric conditions.

CONCLUSIONS

Rural veterans and veterans with psychiatric comorbidities are at increased risk of smoking and are more severely dependent on nicotine than urban veterans. These findings underscore the need to reduce barriers for treatment both for smoking cessation and mental healthcare for veterans residing in the most rural areas.

Trend differences in men and women in rural and urban U.S. settings

BACKGROUND

Smoking prevalence is declining at a slower rate in rural than urban settings in the United States (U.S.), and known predictors of smoking do not readily account for this trend difference. Given that socioeconomic and psychosocial determinants of health disparities accumulate in rural settings and that life-course disadvantages are often greater in women than men, we examined whether smoking trends are different for rural and urban men and women.

METHOD

We used yearly cross-sectional data (n = 303,311) from the U.S. National Survey on Drug Use and Health (NSDUH) from 2007 through 2014 to compare cigarette smoking trends in men and women across rural and urban areas. Current smoking status was modelled using logistic regression controlling for confounding risk factors.

RESULTS

Regression derived graphs predicting unadjusted prevalence estimates and 95% confidence bands revealed that whereas the smoking trends of rural men, urban men, and urban women significantly declined from 2007 to 2014, the trend for rural women was flat. Controlling for demographic, socioeconomic and psychosocial predictors of smoking did not explain rural women's significantly different trend from those of the other three groups.

CONCLUSION

Rural women lag behind rural men, urban men and urban women in decreasing smoking, a health disparity finding that supports the need for tobacco control and regulatory policies and interventions that are more effective in reducing smoking among rural women.

Differences in Cigarette Use and the Tobacco Environment Among Youth Living in Metropolitan and Nonmetropolitan Areas

PURPOSE

To examine cigarette use and the tobacco-related environment among adolescents living in metropolitan and nonmetropolitan areas.

METHODS

Data from adolescents ages 14-17 that completed the 2012 Florida Youth Tobacco Survey were analyzed (n = 40,746). This includes a representative sample of middle and high school students throughout the state.

RESULTS

Nonmetropolitan adolescents were more likely than metropolitan adolescents to report lifetime smoking, past 30-day smoking, daily smoking, initiating smoking at younger ages, having smoked a greater number of cigarettes in their lifetime and in the past 30 days, friend acceptance of adult smoking, a parent offering them a cigarette, living with a smoker, and that smoking was allowed in their home. Nonmetropolitan adolescents were also more likely to have seen tobacco ads the last time they visited convenience marts, gas stations, grocery stores, and big box stores, and flavored tobacco products or ads for them. These differences persisted after controlling for demographics.

CONCLUSIONS

The present results suggest vast differences in smoking behavior among nonmetropolitan and metropolitan adolescents and that targeting social and environmental factors may be beneficial for reducing tobacco disparities among nonmetropolitan adolescents.

Variations in support for secondhand smoke restrictions across diverse rural regions of the United States

Significant disparities exist between rural-urban U.S.

POPULATIONS

Besides higher smoking rates, rural Americans are less likely to be protected from SHS. Few studies focus across all regions, obscuring regional-level differences. This study compares support for SHS restrictions across all HHS regions.

DATA

2014/15 TUS-CPS; respondents (n = 228,967): 47,805 were rural residents and 181,162 urban. We examined bi-variates across regions and urban-rural adjusted odds ratios within each. Smoking inside the home was assessed along with attitudes toward smoking in bars, casinos, playgrounds, cars, and cars with kids. Urban respondents were significantly more supportive of all SHS policies: (e.g. smoking in bars [57.9% vs. 51.4%]; support for kids in cars [94.8% vs. 92.5%]. Greatest difference between urban-rural residents was in Mid-Atlantic (bar restrictions) and Southeast (home bans): almost 10% less supportive. Logistic regression confirmed rural residents least likely, overall, to support SHS in homes (OR = 0.78, 95% CI 0.74, 0.81); in cars (OR = 0.87, 95% CI 0.79, 0.95), on playgrounds (OR = 0.88, 95% CI.83, 0.94) and in bars OR = 0.88, 95% CI 0.85, 0.92), when controlling for demographics and smoking status. South Central rural residents were significantly less likely to support SHS policies-home bans, smoking in cars with kids, on playgrounds, in bars and casinos; while Heartland rural residents were significantly more supportive of policies restricting smoking in cars, cars with kids and on playgrounds. Southeast and South Central had lowest policy score with no comprehensive state-level SHS policies. Understanding differences is important to target interventions to reduce exposure to SHS and related health disparities.

Geographic Representativeness of a Web-Based Smoking Cessation Intervention: Reach Equity Analysis

Background

Cigarette smoking is the leading cause of preventable death and disease in the United States. Smoking prevalence is higher in rural areas than in metropolitan areas, due partly to differences in access to cessation treatment. With internet use at 89% of all US adults, digital approaches could increase use of cessation treatment and reduce smoking.

Objective

We investigated the extent to which smokers from rural areas use a digital cessation resource. We compared the geographic distribution of registered users of a free Web-based smoking cessation program with the geographic distribution of US smokers.

Methods

We mapped user-provided ZIP codes to Rural-Urban Continuum Codes. A total of 59,050 of 118,574 users (49.80%) provided valid ZIP codes from 2013 to 2017. We used US National Survey of Drug Use and Health data from 2013 to 2017 to compare the geographic distribution of our sample of Web-based cessation users with the geographic distribution of US smokers. Reach ratios and 95% confidence intervals quantified the extent to which rural smokers’ representation in the sample was proportionate to their representation in the national smoking population. Reach ratios less than 1 indicate underrepresentation.

Results

Smokers from rural areas were significantly underrepresented in 2013 (reach ratio 0.89, 95% CI 0.87-0.91) and 2014 (reach ratio 0.89, 95% CI 0.86-0.92), proportionally represented in 2015 (reach ratio 1.08, 95% CI 1.02-1.14) and 2016 (reach ratio 1.03, 95% CI 0.94-1.14), and proportionally overrepresented in 2017 (reach ratio 1.16, 95% CI 1.12-1.21). Smokers from Large Metro areas were proportionally represented in 2013 and 2014 but underrepresented in 2015 (reach ratio 0.97, 95% CI 0.94-1.00), 2016 (reach ratio 0.89, 95% CI 0.85-0.94), and 2017 (reach ratio 0.89, 95% CI 0.86-0.91).

Conclusions

Results suggest that smokers from rural areas are more than proportionally reached by a long-standing digital cessation intervention. The underrepresentation of smokers from Large Metro areas warrants further study.

Cigarette use trajectories in young adults: Analyses of predictors across system levels

BACKGROUND

Cigarette smoking escalates most in early to middle young adulthood. However, little research has examined a range of multilevel factors in relation to smoking trajectories during this time.

METHODS

We examined: 1) trajectories of cigarette smoking among 2967 US college students (aged 18-25) in a two-year, six-wave longitudinal study (using growth mixture modeling); and 2) intrapersonal- (i.e., other substance use, depressive symptoms, ADHD symptoms,); interpersonal- (i.e., adverse childhood events, social support, parental tobacco and marijuana use), and community-level (i.e., type of college, rural vs. urban setting) predictors of differing trajectories (using multinomial logistic regression).

RESULTS

We identified three trajectory classes: 1) Dabblers, who used cigarettes at one point in their life or not at all (85.6%); 2) College Onset Smokers, who began smoking regularly during the college years (6.2%); and 3) Later Onset Smokers, who began smoking during the mid- to late-20 s (8.2%). Multinomial regression (with Dabblers as the reference group) showed that predictors of being College Onset Smokers included being male (p = .031); Asian (p = .001) but not Black (p = .008; Ref: White); early onset smokers (i.e., initiation before age 15; p = .006); past 30-day users of little cigars/cigarillos (p = .024), alcohol (p < .001), and marijuana (p = .008); children of tobacco users (p = .050); and public (p = .031) or a technical college students (p < .001; Ref: private college); predictors of being Later Onset Smokers were being male (p = .019) and technical college students (p = .005).

CONCLUSIONS

Despite some young adults' smoking initiating/escalating in middle young adulthood, few risk factors were documented. This understudied period warrants greater examination to inform intervention.

[Urban-rural gradient in tobacco consumption and cessation patterns in Brazil]

The degree of urbanization has been associated with both tobacco consumption and quit rates. The current study aims to examine the importance of the urban-rural context in the determination of tobacco consumption patterns and smoking cessation. Data were used from the supplement of the Special Survey on Smoking (PETab) from the 2008 Brazilian National Household Sample Survey (PNAD). The sample included 14,420 individuals over 15 years of age, of whom 7,003 were current smokers and 7,417 former smokers in the PETab. Smoking prevalence and cessation rates were calculated. Individuals were stratified according to urban and rural residence. Other sociodemographic variables were also analyzed: sex, age bracket, race, and schooling. To explore the difference in smoking prevalence and cessation rate for each stratum in the census situation, the data were adjusted using a Poisson model. Smoking prevalence was higher in places less influenced by the urban environment. Meanwhile, smoking cessation was higher in more urbanized places. Smoking prevalence showed a decrease in consumption as the population's urban characteristics increased (PR = 0.75 for eminently urban vs eminently rural, p = 0.001). Smoking cessation trends showed that the more urban population was more prone to quitting (PR = 1.22 for eminently urban vs eminently rural, p < 0.001). The results point to the need to improve the effectiveness of services for follow-up and encouragement of cessation in rural areas.

Histologic Lung Cancer Incidence Rates and Trends Vary by Race/Ethnicity and Residential County

INTRODUCTION

Lung cancer incidence is higher among non-Hispanic (NH) blacks than among the NH white and Hispanic populations in the United States. However, national cancer estimates may not always reflect the cancer burden in terms of disparities and incidence in small geographic areas, especially urban-rural disparities. Moreover, there is a gap in the literature regarding rural-urban disparities in terms of cancer histologic type.

METHODS

Using population-based cancer registry data-Surveillance, Epidemiology and End Results and National Program of Cancer Registries data-we present age-adjusted histologic rates and trends by race/ethnicity and residential county location at the time of first cancer diagnosis. Rate ratios were calculated to examine racial/ethnic differences in rates. Annual percent change was calculated to measure changes in rates over time.

RESULTS

We found that declines in squamous cell carcinoma are occurring fastest in metropolitan counties, whereas rates of adenocarcinoma increased fastest in counties nonadjacent to metropolitan areas. Further, although NH black men have increased lung cancer incidence compared with NH white and Hispanic men in all geographic locations, we found that the degree of the disparity increases with increasing rurality of residence. Finally, we discovered that among women whose lung cancer was diagnosed when they were younger than 55 years, the incidence of squamous cell carcinoma and adenocarcinoma was higher for NH blacks than for NH whites.

CONCLUSIONS

Our results highlight disparities among NH blacks in nonadjacent rural areas. These findings may have significant impact for the implementation of smoking cessation and lung cancer screening programs.

Intrastate Variations in Rural Cancer Risk and Incidence: An Illinois Case Study

CONTEXT

Although rural-urban cancer disparities have been explored with some depth, disparities within seemingly homogeneous rural areas have received limited attention. However, exploration of intrarural cancer incidence may have important public health implications for risk assessment, cancer control, and resource allocation.

OBJECTIVE

The objective of this study was to explore intrastate rural cancer risk and incidence differences within Illinois.

DESIGN

Illinois's 83 rural counties were categorized into northern, central, and southern regions (IL-N, IL-C, and IL-S, respectively). Chi-square test for independence and analysis of variance calculations were performed to assess regional differences in demographic characteristics, socioeconomic deprivation, smoking history, obesity, cancer-screening adherence, and density of general practitioners. Age-adjusted incidence rates were calculated for 5 cancer categories: all cancers combined, lung, colorectal, breast (female), and prostate cancers. Unadjusted and adjusted incidence rate ratios (IRRs) were calculated to evaluate regional differences in rates for each cancer category.

RESULTS

Socioeconomic deprivation varied by region: 4.5%, 6.9%, and 40.6% of IL-N, IL-C, and IL-S counties, respectively (P < .001). Smoking history also significantly differed by region. Mean former/current smoking prevalence in IL-N, IL-C, and IL-S counties was 46.4%, 48.2%, and 51.4%, respectively (P = .006). In unadjusted analysis, IL-C (IRR = 1.12; 95% confidence interval [CI], 1.02-1.23) and IL-S (IRR = 1.24; 95% CI, 1.13-1.35) had increased lung cancer incidence compared with IL-N. Elevated risk remained in IL-S after adjusting for relevant factors such as smoking and socioeconomic deprivation (IRR = 1.14; 95% CI, 1.04-1.26).

CONCLUSIONS

Socioeconomic deprivation, health behaviors, and lung cancer incidence varied across rural regions. Our findings underscore the importance of identifying cancer risk heterogeneity, even within a state, to effectively target risk factor reduction and cancer control interventions.

Prevalence and factors associated with smoking among adults in Malaysia: Findings from the National Health and Morbidity Survey (NHMS) 2015

INTRODUCTION

The continuous monitoring of smoking prevalence and its associated factors is an integral part of anti-smoking programmes and valuable for the evaluation of the effectiveness of anti-smoking measures and policies. This study aimed at determining prevalence of smoking and identifying socio-demographic factors associated with smoking among adults in Malaysia aged 15 years and over.

METHODS

This is a cross-sectional study with a representative sample of 21 445 adults in Malaysia, aged 15 years and over, selected via a stratified, two-stage proportionate-to-size sampling method. Data were obtained from face-to-face interviews by trained research assistants, using a standard validated questionnaire. Multivariable logistic regression was performed to determine socio-demographic factors associated with smoking among Malaysians.

RESULTS

The overall prevalence of smoking was 22.8% (95% CI: 21.9-23.8%), with males having a significantly higher prevalence compared to females (43.0%, 95% CI: 41.1-44.6 vs 1.4%, 95% CI: 1.1-1.7). The highest smoking prevalence was observed among other ethnicities (35.7%), those aged 25-44 years (59.3%), and low educational attainment (25.2%). Males, those with lower educational attainment and Malays were significantly associated with smoking.

CONCLUSIONS

The prevalence of smoking among Malaysians, aged 15 years and over, remains high despite the implementation of several anti-smoking measures over the past decades. Specially tailored anti-smoking policies or measures, particularly targeting males, the Malays, younger adults and those with lower educational attainment, are greatly warranted to reduce the prevalence of smoking in Malaysia.

Small Food Store Retailers' Willingness to Implement Healthy Store Strategies in Rural North Carolina

Access to supermarkets is lacking in many rural areas. Small food stores are often available, but typically lack healthy food items such as fresh produce. We assessed small food store retailer willingness to implement 11 healthy store strategies to increase the availability, display, and promotion of healthy foods and decrease the availability, display, and promotion of tobacco products. Interviews were conducted with 55 small food store retailers in three rural North Carolina counties concurrently with store observations assessing current practices related to the strategies. All stores sold low-calorie beverages, sugar-sweetened beverages, candy and cigarettes. Nearly all sold smokeless tobacco and cigars/cigarillos, and 72 % sold e-cigarettes. Fresh fruits were sold at 30.2 % of stores; only 9.4 % sold fresh vegetables. Retailers reported being most willing to stock skim/low-fat milk, display healthy snacks near the register, and stock whole wheat bread. About 50 % were willing to stock at least three fresh fruits and three fresh vegetables, however only 2 % of stores currently stocked these foods. Nearly all retailers expressed unwillingness to reduce the availability of tobacco products or marketing. Our results show promise for working with retailers in rural settings to increase healthy food availability in small food stores. However, restrictions on retail tobacco sales and marketing may be more feasible through local tobacco control ordinances, or could be included with healthy foods ordinances that require stores to stock a minimum amount of healthy foods.

Patterns of tobacco consumption among residents of a rural settlement: a cross-sectional study

OBJECTIVE

Investigate patterns and factors associated with tobacco consumption among residents of a rural settlement.

METHODS

A cross-sectional study conducted between September and November 2014, with 172 residents of a rural settlement in the Midwest region of Brazil. We analyzed as dependent variables tobacco consumption at some point in life; current tobacco consumption; tobacco abuse; and the high risk of nicotine dependence, with sociodemographic variables associated with tobacco use, and we applied the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) and Self-Reporting Questionnaire (SRQ-20).

RESULTS

The prevalence of tobacco use in life, current use, tobacco abuse, and high risk of nicotine dependence were 62.2%, 20.9%, 59.8%, and 10.3%, respectively. Advanced age, low education level, evangelical religion, marijuana use, hypnotic or sedative consumption, and male gender were factors associated with smoking patterns in the settlers.

CONCLUSIONS

There was a high prevalence of smoking patterns, evidencing the need for public policies on tobacco prevention and control in this population.

Effect of rural and urban geography on larynx cancer incidence and survival

OBJECTIVES/HYPOTHESIS

Investigate the impact of rural geography on larynx cancer incidence and survival.

STUDY DESIGN

Surveillance, Epidemiology, and End Results (SEER) database study.

METHODS

Incidence and survival rates by Rural-Urban Continuum codes for larynx squamous cell carcinoma patients diagnosed from 2004 to 2012 were evaluated using SEER statistical software and Cox proportional hazards survival analysis.

RESULTS

The lowest age-adjusted incidence rates for larynx cancer were seen in densely populated urban regions, with mean rates of 2.8 per 100,000 person years (95% confidence interval [CI]: 2.7-2.8); the highest were in the most rural areas, with mean rates of 5.3 per 100,000 person years (95% CI: 4.7-5.9). Nevertheless, of 23,659 larynx cancer patients diagnosed over this period, 19,556 (82.7%) arose in urban residents, compared with 1,428 or 6% from rural areas. Urban larynx cancer patients more likely lived in counties with an American College of Surgeons-approved cancer center and/or a fourfold greater otolaryngology physician supply. Nevertheless, frequency of advanced stage at initial presentation was similar. Cause-specific and overall survival were no different, both on univariable and multivariable analyses.

CONCLUSIONS

Compared with urban populations, Rural populations are at greater risk of developing larynx cancer, but initial stage and survival after diagnosis are comparable. Priority should be given to prevention strategies to decrease incidence rates.

LEVEL OF EVIDENCE

4 Laryngoscope, 1874-1880, 2018.

Racial/Ethnic Health Disparities Among Rural Adults - United States, 2012-2015

PROBLEM/CONDITION

Rural communities often have worse health outcomes, have less access to care, and are less diverse than urban communities. Much of the research on rural health disparities examines disparities between rural and urban communities, with fewer studies on disparities within rural communities. This report provides an overview of racial/ethnic health disparities for selected indicators in rural areas of the United States.

REPORTING PERIOD

2012-2015.

DESCRIPTION OF SYSTEM

Self-reported data from the 2012-2015 Behavioral Risk Factor Surveillance System were pooled to evaluate racial/ethnic disparities in health, access to care, and health-related behaviors among rural residents in all 50 states and the District of Columbia. Using the National Center for Health Statistics 2013 Urban-Rural Classification Scheme for Counties to assess rurality, this analysis focused on adults living in noncore (rural) counties.

RESULTS

Racial/ethnic minorities who lived in rural areas were younger (more often in the youngest age group) than non-Hispanic whites. Except for Asians and Native Hawaiians and other Pacific Islanders (combined in the analysis), more racial/ethnic minorities (compared with non-Hispanic whites) reported their health as fair or poor, that they had obesity, and that they were unable to see a physician in the past 12 months because of cost. All racial/ethnic minority populations were less likely than non-Hispanic whites to report having a personal health care provider. Non-Hispanic whites had the highest estimated prevalence of binge drinking in the past 30 days.

INTERPRETATION

Although persons in rural communities often have worse health outcomes and less access to health care than those in urban communities, rural racial/ethnic minority populations have substantial health, access to care, and lifestyle challenges that can be overlooked when considering aggregated population data. This study revealed difficulties among non-Hispanic whites as well, primarily related to health-related risk behaviors. Across each population, the challenges vary.

PUBLIC HEALTH ACTION

Stratifying data by different demographics, using community health needs assessments, and adopting and implementing the National Culturally and Linguistically Appropriate Services Standards can help rural communities identify disparities and develop effective initiatives to eliminate them, which aligns with a Healthy People 2020 overarching goal: achieving health equity.

Occupational Exposure to Vapor-Gas, Dust, and Fumes in a Cohort of Rural Adults in Iowa Compared with a Cohort of Urban Adults

Problem/Condition

Many rural residents work in the field of agriculture; however, employment in nonagricultural jobs also is common. Because previous studies in rural communities often have focused on agricultural workers, much less is known about the occupational exposures in other types of jobs in rural settings. Characterizing airborne occupational exposures that can contribute to respiratory diseases is important so that differences between rural and urban working populations can be assessed.

Reporting Period

1994–2011.

Description of System

This investigation used data from the baseline questionnaire completed by adult rural residents participating in the Keokuk County Rural Health Study (KCRHS). The distribution of jobs and occupational exposures to vapor-gas, dust, and fumes (VGDF) among all participants was analyzed and stratified by farming status (current, former, and never) then compared with a cohort of urban workers from the Multi-Ethnic Study of Atherosclerosis (MESA). Occupational exposure in the last job was assessed with a job-exposure matrix (JEM) developed for chronic obstructive pulmonary disease (COPD). The COPD JEM assesses VGDF exposure at levels of none or low, medium, and high.

Results

The 1,699 KCRHS (rural) participants were more likely to have medium or high occupational VGDF exposure (43.2%) at their last job than their urban MESA counterparts (15.0% of 3,667 participants). One fifth (20.8%) of the rural participants currently farmed, 43.1% were former farmers, and approximately one third (36.1%) had never farmed. These three farming groups differed in VGDF exposure at the last job, with the prevalence of medium or high exposure at 80.2% for current farmers, 38.7% for former farmers, and 27.4% for never farmers, and all three percentages were higher than the 15.0% medium or high level of VGDF exposure for urban workers.

Interpretation

Rural workers, including those who had never farmed, were more likely to experience occupational VGDF exposure than urban workers.

Public Health Action

The occupational exposures of rural adults assessed using the COPD JEM will be used to investigate their potential association with obstructive respiratory health problems (e.g., airflow limitation and chronic bronchitis). This assessment might highlight occupations in need of preventive interventions.

A growing geographic disparity: Rural and urban cigarette smoking trends in the United States

Rural areas of the United States have a higher smoking prevalence than urban areas. However, no recent studies have rigorously examined potential changes in this disparity over time or whether the disparity can be explained by demographic or psychosocial characteristics associated with smoking. The present study used yearly cross sectional data from the National Survey on Drug Use and Health from 2007 through 2014 to examine cigarette smoking trends in rural versus urban areas of the United States. The analytic sample included 303,311 respondents. Two regression models were built to examine (a) unadjusted rural and urban trends in prevalence of current smoking and (b) whether differences remained after adjusting for demographic and psychosocial characteristics. Results of the unadjusted model showed disparate and diverging cigarette use trends during the 8-year time period. The adjusted model also showed diverging trends, initially with no or small differences that became more pronounced across the 8-year period. We conclude that differences reported in earlier studies may be explained by differences in rural versus urban demographic and psychosocial risk factors, while more recent and growing disparities appear to be related to other factors. These emergent differences may be attributable to policy-level tobacco control and regulatory factors that disproportionately benefit urban areas such as enforcement of regulations around the sale and marketing of tobacco products and treatment availability. Strong federal policies and targeted or tailored interventions may be important to expanding tobacco control and regulatory benefits to vulnerable populations including rural Americans.

Rural-Urban Differences in Cancer Incidence and Trends in the United States

Background: Cancer incidence and mortality rates in the United States are declining, but this decrease may not be observed in rural areas where residents are more likely to live in poverty, smoke, and forego cancer screening. However, there is limited research exploring national rural-urban differences in cancer incidence and trends.Methods: We analyzed data from the North American Association of Central Cancer Registries' public use dataset, which includes population-based cancer incidence data from 46 states. We calculated age-adjusted incidence rates, rate ratios, and annual percentage change (APC) for: all cancers combined, selected individual cancers, and cancers associated with tobacco use and human papillomavirus (HPV). Rural-urban comparisons were made by demographic, geographic, and socioeconomic characteristics for 2009 to 2013. Trends were analyzed for 1995 to 2013.Results: Combined cancers incidence rates were generally higher in urban populations, except for the South, although the urban decline in incidence rate was greater than in rural populations (10.2% vs. 4.8%, respectively). Rural cancer disparities included higher rates of tobacco-associated, HPV-associated, lung and bronchus, cervical, and colorectal cancers across most population groups. Furthermore, HPV-associated cancer incidence rates increased in rural areas (APC = 0.724, P < 0.05), while temporal trends remained stable in urban areas.Conclusions: Cancer rates associated with modifiable risks-tobacco, HPV, and some preventive screening modalities (e.g., colorectal and cervical cancers)-were higher in rural compared with urban populations.Impact: Population-based, clinical, and/or policy strategies and interventions that address these modifiable risk factors could help reduce cancer disparities experienced in rural populations. Cancer Epidemiol Biomarkers Prev; 27(11); 1265-74. ©2017 AACR.

Understanding tobacco use and socioeconomic inequalities among men in Ghana, and Lesotho

Background

Tobacco use is one of the leading causes of preventable deaths and has become a significant public health issue. Previous studies have paid less attention to tobacco use and socio-economic equalities among men in developing countries. This study examines the relationship between tobacco use and socio-economic inequalities among men in Ghana and Lesotho.

Methods

The study made use of data from the 2014 Demographic and Health Survey (DHS) from Ghana, and Lesotho. Binary logistic regression was employed to examine the associations between socio-economic inequality characteristics of respondents and tobacco use.

Results

The results showed that the prevalence of tobacco use was high in Lesotho (47.9%) as compared to that of Ghana (6.3%). Tobacco use was generally high across all age groups in Lesotho and in contrast, it was relatively low across all ages in Ghana. A statistically significant association was found between all the socio-economic variables and tobacco use in both countries. The prevalence of tobacco use was smaller in age group 15–24 years compared to the age groups 25–34 years and 35–59 years in both Ghana and Lesotho, although the association is stronger in Ghana. The AOR’s in Ghana are respectively 5.3 (95% CI: 3.29–8.59) and 9.7 (95% CI: 6.20–15.06), compared to respectively 1.7 (95% CI: 1.32–2.11) and 1.7 (95% CI: 1.36–2.12). Smoking prevalence was smaller in men with higher level of education compared to men with no education in both Ghana and Lesotho, although the association was weaker in Ghana. The AOR in Ghana is 0.1 (95% CI: (0.02–0.11), compared to 0.2 (95% Cl: (0.17–0.30). The prevalence of tobacco use was smaller among men in urban areas compared to rural areas in both Ghana and Lesotho, although the association is stronger in Ghana. The AOR in Ghana is 2.1 (95% CI: 1.67–2.73), compared to 1.6 (95% CI: (1.31–1.95). In both countries, prevalence of tobacco use was higher in men who are traditionalist/spiritualists or who had no religion compared to Christians, although the association was stronger in Ghana. The AOR in Ghana is 6.2 (95% CI: (4.42–4.09) compared to 1.7 (95% CI: (1.21–2.47). The prevalence of tobacco use was low among men with richest wealth status compared to men with poorest wealth status in both Ghana and Lesotho, although the association is weaker in Ghana. The AOR in Ghana is 0.1 (95% Cl: (0.06–0.17) compared to 0.4 (95% CI: (0.51–1.12). In relation to occupation, prevalence of tobacco use was smaller among professional workers compared to men in the Agricultural sector in both Ghana and Lesotho, although the association is stronger in Ghana. The AOR in Ghana is 9.3 (95% Cl: (4.54–18.99), compared to 3.5 (95% CI: (2.27–5.52). Formerly married men in both countries were more likely to use tobacco compared to currently not married men, although the prevalence was higher in Ghana. The AOR in Ghana is 1.6 (95% CI: (0.99–2.28)], compared to 1.4 (95% CI: (0.89–2.28) in Lesotho.

Conclusion

Although similar socio-economic inequality factors provided an understanding of tobacco use among men in Ghana and Lesotho, there were variations in relation to how each factor influences tobacco use.

Electronic supplementary material

The online version of this article (doi:10.1186/s13690-017-0197-5) contains supplementary material, which is available to authorized users.

Making the Case for Investment in Rural Cancer Control: An Analysis of Rural Cancer Incidence, Mortality, and Funding Trends

Estimates of those living in rural counties vary from 46.2 to 59 million, or 14% to 19% of the U.S.

POPULATION

Rural communities face disadvantages compared with urban areas, including higher poverty, lower educational attainment, and lack of access to health services. We aimed to demonstrate rural-urban disparities in cancer and to examine NCI-funded cancer control grants focused on rural populations. Estimates of 5-year cancer incidence and mortality from 2009 to 2013 were generated for counties at each level of the rural-urban continuum and for metropolitan versus nonmetropolitan counties, for all cancers combined and several individual cancer types. We also examined the number and foci of rural cancer control grants funded by NCI from 2011 to 2016. Cancer incidence was 447 cases per 100,000 in metropolitan counties and 460 per 100,000 in nonmetropolitan counties (P < 0.001). Cancer mortality rates were 166 per 100,000 in metropolitan counties and 182 per 100,000 in nonmetropolitan counties (P < 0.001). Higher incidence and mortality in rural areas were observed for cervical, colorectal, kidney, lung, melanoma, and oropharyngeal cancers. There were 48 R- and 3 P-mechanism rural-focused grants funded from 2011 to 2016 (3% of 1,655). Further investment is needed to disentangle the effects of individual-level SES and area-level factors to understand observed effects of rurality on cancer. Cancer Epidemiol Biomarkers Prev; 26(7); 992-7. ©2017 AACR.

CE: Original Research: The Experiences of Pregnant Smokers and Their Providers

: Background: The U.S. Department of Health and Human Services' initiative Healthy People 2020 targets tobacco use, including smoking during pregnancy, as a continuing major health concern in this country. Yet bringing the U.S. Public Health Service's 2008 clinical practice guideline, Treating Tobacco Use and Dependence, into routine prenatal care remains challenging. Our previous nurse-managed intervention study of rural pregnant women found no significant cessation effect and significant discordance between self-reported smoker status and urinary cotinine levels.

PURPOSE

The overall purpose of this follow-up study was to increase our understanding of the experiences of pregnant smokers and their providers. No qualitative studies could be found that simultaneously explored the experiences of both groups.

DESIGN AND METHODS

This qualitative descriptive study used focus group methodology. Nine focus groups were held in two counties in upper New York State; six groups consisted of providers and three consisted of pregnant women. Four semistructured questions guided the group discussions, which were audiotaped and transcribed verbatim. Transcripts were read and coded independently by six investigators. Themes were identified using constant comparative analysis and were validated using the consensus process.

RESULTS

The total sample consisted of 66 participants: 45 providers and 21 pregnant women. Most of the providers were white (93%) and female (93%). A majority worked as RNs (71%); the sample included perinatal and neonatal nursery nurses, midwives, and physicians. The pregnant women were exclusively white (reflecting the rural demographic); the average age was 24 years. All the pregnant women had smoked at the beginning of their pregnancies. Four common themes emerged in both the provider and the pregnant women groups: barriers to quitting, mixed messages, approaches and attitudes, and program modalities. These themes corroborate previous findings that cigarette smoking is used for stress relief, especially when pregnancy itself is a stressor, and that pregnant women may feel guilty but don't want to be nagged or preached to.

CONCLUSIONS

These results have implications for how smoking cessation programs for pregnant women should be designed. Health care providers need to be cognizant of their approaches and attitudes when addressing the subject of smoking cessation. Specific educational suggestions include "putting a face" to the issue of tobacco use during pregnancy. More research is needed on how best to implement the 2008 clinical practice guideline in specific populations.

Engaging rural communities in genetic research: challenges and opportunities

Statistical analyses of health and disease in rural communities is frequently limited by low sample counts. Still, some studies indicate increased risk for some diseases even after adjustment for known risk factors. It has been hypothesized that the context of community formation in rural areas facilitates the propagation of genetic founder effects-potentially impacting disease susceptibility. However, outright examination of genetic diversity in such communities has not been performed. Our objective was to engage otherwise research-inexperienced rural communities of largely European descent in genomic research in the context of cancer susceptibility. From September 2015 to February 2016, we implemented a systematic process of progressive community engagement. This iterative method sought project buy-in from first the town mayor, then village council. If approved by both, a focus group of community members examined how residents might view the research, informed consent and specimen collection, and issues of privacy. We were successful in engaging three of the four communities approached for the research project. There was universal enthusiasm for the project by all mayors and village councils. The focus groups' main point of discussion involved wording in the informed consent, with little concern regarding the research question or privacy. Perhaps contrary to popular thought, we found each community we approached to be both welcoming and enthusiastic about collaborating in research on genomic diversity. The systematic method of engagement did much to preserve community respect and autonomy and facilitated buy-in.

A Tobacco Cessation Intervention with Rural, Medically Underserved, Blue-collar Employees: A Quasiexperimental Study

BACKGROUND

The aim of this study was to increase knowledge regarding the dangers associated with tobacco use, and decrease secondhand smoke exposure and tobacco use behaviors with an antitobacco messaging campaign among rural, medically underserved, blue-collar workers.

METHODS

A quasiexperimental study was conducted with employees at two worksites. One worksite received the intervention, which consisted of nine different antitobacco messages. Baseline and follow-up surveys were conducted at each worksite to assess change in knowledge and behavior; the data were compared across the two worksites.

RESULTS

Two hundred twenty-two and 243 participants completed baseline and follow-up surveys at the intervention and comparison sites, respectively. A statistically significant difference was seen over time between the worksites on knowledge of the dangers of tobacco (p < 0.0001); the mean knowledge score increased at the intervention site, but remained unchanged at the comparison site. In general, nonsmokers at both worksites appeared to try to decrease exposure to secondhand smoke over the follow-up period. Repeated measures analysis indicated that there were no differences in motivation to quit (p = 0.81), interest in quitting (p = 0.40), thinking about quitting (p = 0.53), or several tobacco-use behaviors over time among smokers at the intervention and comparison worksites. There were slight increases over time in the proportion of smokers who do not allow smoking in their homes/vehicles at the intervention worksite, although not statistically significant.

CONCLUSION

Participants at the intervention worksite increased their knowledge regarding the dangers of tobacco use and secondhand smoke exposure. Among current tobacco users, the intervention appeared to increase family rules regarding secondhand smoke exposure in their homes and vehicles.

Patterns and predictors of local health department accreditation in Missouri

BACKGROUND

The Healthy People 2020 goal for the public health system is "to ensure that Federal, State, Tribal, and local health agencies have the necessary infrastructure to effectively provide essential public health services." To address this goal, Missouri established the first statewide, voluntary accreditation program of local health departments (LHDs) and began accrediting the LHDs in 2003. The purpose of this study was to identify organizational, structural, and workforce factors related to accreditation status of LHDs in Missouri.

METHODS

Using data from the National Association of County & City Health Officials (2010) and the Missouri Department of Health & Senior Services (2012), binary logistic regression analysis was performed to predict accreditation status of LHDs. Likelihood ratio tests were used to examine whether the addition of each predictor added significantly to the model compared with a model including total revenues alone. Adjusted odds ratios (aORs), 95% confidence intervals, the significance level of the likelihood ratio test, and the overall Nagelkerke pseudo-R for each model are reported.

RESULTS

Having a community health improvement plan (aOR = 6.2), a strategic plan (aOR = 7.9), evaluating programs (aOR = 3.6), being in a region with a high proportion of accredited LHDs (aOR = 5.5), and participating in multijurisdictional collaborations (aOR = 6.4) all increased the likelihood of accreditation. Barriers of time (aOR = 0.1) and cost (aOR = 0.3) were negatively associated with accreditation.

CONCLUSIONS

Accredited LHDs were more likely to have completed the prerequisites for accreditation and collaborate with other LHDs. These activities help LHDs meet the accreditation standards. In addition, with shrinking budgets, LHDs will need additional financial and technical support to achieve accreditation. Assisting LHDs to find ways to increase the staff is important. Through collaborations with other LHDs, regional or multicounty positions can be created. Also collaborations with universities, specifically colleges or schools of public health, can provide opportunities for internships at LHDs giving practical experience while providing important assistance to LHDs.

Understanding Multiple Behavioral Risk Factors for Cancer in Rural Women

OBJECTIVES

To examine the demographic and health-related factors associated with risk behaviors that have been linked to cancer including smoking, high BMI, and low physical activity.

DESIGN AND SAMPLE

A secondary analysis was conducted using data from Rural Families Speak about Health, a multistate, epidemiologic study of rural American women and their families (N = 444).

MEASURES

Validated measures for various demographic and health-related items including tobacco use, BMI, physical activity, and depression were used.

RESULTS

Of the total sample with complete data (n = 399), the mean age was 32 years and the majority were White (64%), married (67%), had a high school education or higher (73%), and had an annual household income of less than $40,000 (90%). Regarding cancer risk behaviors, 36% of the sample were smokers, 39% reported low levels of physical activity, and 45% had a calculated BMI over 30. Thirty-five percent of participants reported engaging in two or more risk behaviors. There were significant differences in income, perceived health status, and depression depending on the number of risk behaviors reported.

CONCLUSIONS

Understanding combinations of risk behaviors can assist nurses and other health professionals in tailoring multiple health behavior change interventions to prevent cancer among rural women.