Smoking Rates Research Articles

Heavy Metal and Thiol/Disulfide in Children with Attention-Deficit and Hyperactivity Disorder.

In the etiology of attention-deficit and hyperactivity disorder (ADHD), oxidative stress and heavy metal exposure are still controversial topics. In this study, our goal was to examine heavy metal levels and oxidative balance in newly diagnosed patients with ADHD and reveal whether heavy metal levels have an effect on the oxidation balance. The study included 35 patients with newly diagnosed ADHD and 31 healthy control groups of similar age and gender. Participants' parents or caregivers completed a semi-structured questionnaire regarding their children's breastfeeding and prenatal and postnatal smoking exposures. The levels of heavy metals lead (Pb), mercury (Hg), and cadmium were measured with inductively coupled plasma optical emission spectroscopy, and a unique automated spectrophotometric approach was used to quantify serum total thiol, native thiol, and disulfide quantities and ratios. The rate of smoking during pregnancy was significantly higher in the ADHD group than in the control group (P = .030). Compared to the control group, the native and total thiol levels of children with ADHD were significantly higher (P < .001). Likewise, the ADHD group had significantly higher Hg levels compared to the control group (P = .002). Cadmium levels were substantially greater in the control group compared to the ADHD group (P < .001). However, there was no significant difference between Pb levels in the ADHD and the control group (P = .844). Exposure to Hg and prenatal smoking may contribute to the development of ADHD in childhood. In response to oxidative stress, the young brains of children with ADHD may enhance their antioxidant levels.

Abstract P451: Clinical, Demographic, and Geographic Trends in Cardiovascular Causes of Deaths Associated With Homelessness

Background: Cardiovascular disease (CVD) remains the leading cause of death in the United States, accounting for a staggering 928,741 fatalities in 2020. Persons experiencing homelessness (PEH) have a 3- to 5-fold excess risk of mortality from CVD, which ranks as a predominant cause of mortality in this setting, second only to overdose deaths. The elevated incidence of CVD mortality for PEH may be attributable to complex interactions between social determinants and risk factors that include delayed diagnosis, limited healthcare access, heightened smoking rates, and the increased incidence of diabetes and hypertension among other factors. Methods: This study utilized records from the county medical examiner in the third most populous county in the US from 2021-2022, focusing exclusively on CVD mortality in medicolegal cases to analyze the impact of specific risk factors for PEH. All medicolegal deaths involving CVD were analyzed to determine relative frequencies of associated or secondary causes between housed and PEH deaths along with insights into the influence of age, race, and gender. Results: The examination of the CVD mortality in PEH cases in 2021 (n=52) and 2022 (n=71) revealed important trends, yielding an estimated, unadjusted mortality rate of 23 deaths per 1,000 person-years-exposed-to-homelessness (compared to around 2 per 1,000 person-years in population). The mean age for CVD deaths in PEH was 58.6 and 60.6 years in 2021 and 2022 respectively (males increased 57.8 to 61.3 years; females increased 58.8 to 60.6 years), while the proportion of CVD deaths increased among males (30-32%) but decreased for females (29-22%). This widening gap in the percent of CVD deaths occurring among male PEH and female PEH is evident where the gap stood at 1% in 2021 but expanded to 10% in 2022 (p=n.s.). Racial disparities show a rapid increase in CVD deaths for Black/African American PEH (26.1-33.7%). Top conditions associated with CVD deaths were hypertension and atherosclerosis, regardless of housing status at death. Diabetes mellitus (25%), obesity (22%), and chronic ethanolism (16%) round out the top 5 conditions for housed decedents, while among the unhoused COPD (19.7%), CHF (12.7%), and diabetes mellitus (11.3%) were the most common. Conclusion: Exposure to homelessness and housing instability is a major driver of cardiovascular mortality. These findings suggest that PEH face ongoing challenges in the management and prevention of CVD. Additionally, CVD deaths associated with homelessness often point foremost to hypertensive and atherosclerotic vascular changes, contributing to natural deaths. These conditions point to persistent risk factors such as limited healthcare access, high smoking rates (contributing to COPD), and higher incidences of diabetes and hypertension. Additional research is needed on underlying causes of the identified gender disparities.

Abstract MP06: Cardiovascular Disease in Community-Dwelling US Adults Involved With the Criminal Justice System: A Simulation Analysis

Introduction: Approximately 4.4 million US adults live in the community while on probation or parole. They have disproportionately elevated cardiovascular risk factors, morbidity and mortality, along with limited access to healthcare. However, the long-term burden of cardiovascular disease (CVD) in this population is uncertain. We developed a simulation model to quantify cardiovascular risk and adverse events in community-dwelling US adults involved with the criminal justice system, leveraging all known sources of data on this under-studied, high-risk population. Methods: We adapted the CVD Policy Model, a validated state-transition simulation model of CVD in all US adults, using input data specific to 25-54 year-old individuals on probation or parole in 2018. Population size was defined using estimates from the Bureau of Justice Statistics. CVD risk factor burden was approximated by re-weighting data from the National Health and Nutrition Examination Survey years 2005 to 2018 to match demographic, socioeconomic, and health variables among individuals reporting past-year probation or parole in the National Survey on Drug Use and Health. CVD incidence and mortality rates were calibrated to outcomes in cohort studies and vital statistics data. Outcomes were myocardial infarction (MI), stroke, and death over a 10-year horizon (2018-2027) and were compared with projections for an age- and gender-matched cohort of adults in the general US population. We also examined projected reductions in CVD outcomes over 10 years that could be expected if risk factor distributions in the probation/parole population were similar to distributions observed for the general US population. Results: The simulated cohort consisted of 2.9 million adults 25-54 years of age on probation or parole in 2018; 71% were men, 30% were living below the poverty line, and 57% had no regular access to healthcare. An estimated 61% were current smokers, 29% had BP ≥130/80 mmHg, and 8% had diabetes. The study cohort was projected to experience between 36,400 and 69,600 incident MIs and between 22,400 and 37,500 incident strokes over 10 years. This would be 1.4-2.6 times the CVD incidence in age- and gender-matched adults in the general US population. Lowering rates of active smoking in those on probation or parole to rates observed for the general US population (i.e., from 61% to 21%) would reduce MI and stroke events by 16,400 to 29,100 over 10 years, a 27% reduction from current projections. Discussion: We developed and calibrated a computer simulation model to quantify the burden of CVD in community-dwelling US adults followed by the US justice system. We project that adults on probation or parole have higher CVD risk than the general US population. Future work will leverage this platform to estimate the impact of clinical, community, and policy interventions to reduce CVD burden in this vulnerable population.

Abstract 03: Cardiovascular Disease Risk Factor Control Following Release From Carceral Facilities

Background: Incarceration is a social determinant of cardiovascular disease (CVD) but is rarely addressed in clinical settings or cardiovascular prevention efforts. People who have been incarcerated are more likely to develop CVD at younger ages and have worse cardiovascular outcomes compared with the general population, even after controlling for traditional risk factors. The objective of this study is to identify incarceration-specific factors that are associated with uncontrolled CVD risk factors and identify potential targets for prevention specific to this population. Methods: Using data from Justice-Involved Individuals Cardiovascular Disease Epidemiology (JUSTICE), a prospective cohort study of individuals released from incarceration with CVD risk factors, we examine the association between incarceration-specific and psychosocial factors and CVD risk factor control, including systolic blood pressure (SBP≥140 mmHg, diastolic blood pressure (DBP)≥90, body mass index (BMI)≥40, glycosylated hemoglobin (HbA1c) ≥8%, and low-density lipoprotein cholesterol (LDL-c) ≥160). Incarceration-specific factors include the conditions of confinement (jail vs. prison, time spent in solitary confinement), the carceral health care delivery system (co-payment, medication self-management, discharge planning), and collateral sanctions following release (barriers to housing, food, employment due to criminal record). Psychosocial factors included perceived discrimination and stress, self-efficacy, and lifetime adversity. Results: The mean age of participants (N=417) was 45.2 ±SD 10.7 years and disproportionately men (92%), racially minoritized groups (80%), and poor (66% without an income). Over half (53%) had at least one uncontrolled CVD risk factor. Having been incarcerated in a jail, as compared with prison, was associated with an increased odds of having an uncontrolled CVD risk factor, even after adjusting for age, race and ethnicity, gender, perceived stress, depression symptoms, and life adversity score (AOR 1.79, 95% CI 1.08-2.94). People held in jail, as compared with prison, had higher rates of smoking, uncontrolled hypertension, fewer opportunities to manage one’s own medications while incarcerated, or receive medications prior to release. Discussion: Release from jail is associated with worse CVD risk factor control and requires tailored intervention focused on smoking cessation, hypertension control, and improved discharge planning. These data are especially informative as states design and implement the Centers of Medicare &amp; Medicaid Services new Medicaid Reentry Section 1115 Demonstration Opportunity, which allow Medicaid programs for the first time in history to cover services prior to release from correctional facilities that address chronic health conditions like cardiovascular disease and its risk factors.

Analyzing the Impact of Cigarette Pricing on Youth Smoking: A Comparative Study of Nigeria and Ghana

Smoking remains a significant public health concern globally, with substantial economic and health ramifications. Particularly concerning is the rising prevalence of smoking in developing countries like Nigeria and Ghana, where limited resources and inadequate tobacco control policies pose significant challenges. This paper investigates the relationship between cigarette prices and youth smoking in Nigeria and Ghana, utilizing empirical literature and data analysis to understand the effectiveness of price-based interventions in curbing youth smoking rates. The study underscores the importance of targeted tobacco control policies, especially focusing on pricing mechanisms, to mitigate the looming tobacco epidemic in these regions. Keywords: Cigarette prices, Youth smoking, Tobacco control policies, Nigeria, Ghana, Economic impact, Public health.

Characteristics of Patients With Alpha-1 Antitrypsin Deficiency From Rural Appalachia: A Retrospective Single-Center Study.

Alpha-1 antitrypsin (AAT) deficiency, an autosomal co-dominant inherited condition, significantly impacts lung and liver functions, with mutations in the SERPINA1 gene, notably the Z allele, playing a pivotal role in disease susceptibility. This retrospective descriptive study from a rural Eastern Kentucky pulmonary clinic aimed to characterize patients with AAT deficiency, focusing on demographic, clinical, and laboratory parameters extracted from electronic health records (EHR) of Appalachian Regional Healthcare (ARH). Among 100 patient encounters, 56 were analyzed, revealing notable sex-based differences in smoking rates and co-existing conditions, with males showing higher rates of black lung and chronic obstructive pulmonary disease. In comparison, females exhibited higher rates of asthma, COVID-19, pneumothorax, and obstructive sleep apnea. The study emphasizes the importance of understanding genotype-phenotype correlations and demographic factors in assessing AAT deficiency, advocating for further research to refine management strategies and elucidate causal relationships.

Preliminary Efficacy of a Cognitive Behavioral Therapy-Based Smartphone App for Smoking Cessation in China: Randomized Controlled Pilot Trial.

The overall prevalence of cigarette smokers in China is very high, and China's total cigarette consumption makes up more than 40% of the world's consumption. In view of the lack of smoking cessation services and social support in China and the effectiveness of mobile phone apps for quitting smoking in other countries, we carried out a smartphone app-based smoking cessation trial in China. This study aimed to evaluate the efficacy of a cognitive behavioral therapy (CBT)-based smoking cessation smartphone app among smokers seeking treatment in China. We conducted a randomized controlled, web-based pilot clinical trial in China between February 23 and June 27, 2021. Eligible participants were randomly assigned to the smoking cessation app intervention group or the control group in a ratio of 1:1. The intervention group received the CBT smoking cessation intervention using a smartphone app, and the control group received a "thank you" message. The intervention was 4 weeks long, and the patients were followed up for 4 weeks. The primary outcome was self-reported continuous smoking abstinence at week 4 after the quit date. The secondary outcomes included self-reported 7-day point prevalence of smoking abstinence; reduction of the number of cigarettes smoked per day at weeks 1, 2, 3, and 4; and program acceptability. A total of 973 people were recruited to quit smoking, of whom 262 completed basic information, 56 were excluded, and 206 were randomized and included in the final analysis. There were 189 (91.7%) men and 17 (8.3%) women, with an average age of 34.46 (SD 7.53) years and an average daily smoking rate of 15.93 (SD 7.10) cigarettes/day. We found 30 (29.7%) of the 101 participants in the intervention group and 7 (6.7%) of the 105 participants in the control group reported continuous smoking cessation after the quit date at week 4 (odds ratio 5.92, 95% CI 3.78-9.26; P<.001). The 7-day point prevalence abstinence rate of the intervention group varied from 42.6% (43/101) to 46.5% (47/101) after 1, 2, 3, and 4 weeks, while the control group varied from 18.1% (19/105) to 26.7% (28/105). Compared to the control group, continued smokers consumed 1.5-3.0 fewer cigarettes per day in the intervention group. The overall program got positive user feedback with a high satisfaction rate (66/87, 76%) and an average Mobile Application Rating Scale user version score of 3.46. Our pilot study provided preliminary evidence that the CBT-based smoking cessation smartphone app led to improved smoking quit rates versus control in Chinese smokers. The study demonstrated the CBT-based smartphone app may be an effective and feasible digital treatment model to help smokers quit, which may improve smoking cessation service quality and accessibility in China. ClinicalTrials.gov NCT04421170; https://clinicaltrials.gov/study/NCT04421170. RR2-10.1136/bmjopen-2020-041985.

The Effect of Android-Based Smoking Cessation Education to Improve the Level of Knowledge, Attitude, And Smoking Behavior Among Adolescents in Pamulang, South Tangerang Indonesia

Smoking has been shown to have a detrimental impact on various aspects of adolescent health, including physical, mental, and social health. Smoking increases the risk of developing health problems. Smoking rates among adolescents are very high, leading to various adverse health effects and social consequences.This study will use a cross-sectional research design, which is a type of observational research design. The design in this study is a non-equivalent control group design with pre-test and post-test. Due to the grouping of sample members in the experimental group and control group. This study divided the group into two, namely the first group was given android-based quit-smoking education, and the second group was not given the intervention. The research strategy used mixed research methods, with quantitative research as the main research design and qualitative research. The study showed that adolescents who participated in this education program had better knowledge about the dangers of smoking, as well as more positive attitudes towards smoking cessation. In addition, adolescents also showed changes in their smoking-related behaviors after participating in the education, so Android-based quit-smoking education can provide long-term benefits in reducing smoking prevalence among adolescents and promoting healthy lifestyles and awareness of the importance of lung health and prevention of smoking-related diseases. Along with the development of technology and the expansion of smartphone use among adolescents, the implementation of Android-based quit-smoking education not only provides benefits in adolescent health education but also has broader social implications

Mathematical model with sensitivity analysis and control strategies for marijuana consumption

The current study focuses on reducing the use of marijuana in the population. Marijuana seems to represent a serious threat to public health in developing countries since it is an illegal narcotic with various harmful health effects. The novelty of this manuscript is to modify the non-user, experimental users, recreational users, and addict's (NERA) model for marijuana consumption by incorporating a new class of addicted users under treatment, called the hospitalized class. This real-world issue is expressed in mathematical terms using first-order non-liner ordinary differential equations, and as a result, a mathematical model for marijuana consumption is established. The general population is divided into two main groups: marijuana users and non-users. Subsequently, four subgroups of abusers are created, each reflecting a different stage or degree of substance misuse. The invariant region and basic reproduction number R0 are those parts that are used for the validation of the proposed modified model and to find out the initial transmission rate of marijuana smoking in the general population, respectively. The essential factors influencing cannabis growth were identified based on the results of sensitivity analysis. Additionally, strategies were constructed in the form of prevention objectives to prevent individuals from experiencing increasing effects of marijuana. The effectiveness of these control strategies was subsequently confirmed through numerical simulations, and the numerical simulations were carried out with the help of MATLAB using the RK-4 method.

Differences in Smoking Behavior by Nativity, Race/Ethnicity, and Education among Women Diagnosed with Breast Cancer.

We evaluated smoking differences across nativity and race/ethnicity among women diagnosed with breast cancer. In our Northern Californian pooled population of 5,653 [670 Asian, 690 Hispanic, and 4,300 non-Hispanic White (White)] women diagnosed with breast cancer, we evaluated smoking differences across nativity, race/ethnicity, and acculturation and effect modification of nativity by race/ethnicity and education. Foreign-born women currently smoked less than US-born women [odds ratio (OR) = 0.46, 95% confidence limit (CL): 0.29-0.72]. Hispanic (OR = 0.50; 95% CL: 0.32-0.78) women currently smoked less than White women. Among those who ever smoked (n = 2,557), foreign-born women smoked 5.23 fewer pack-years (PY) than US-born women (95% CL: -2.75 to -7.70). Furthermore, Asian (-4.60, 95% CL: -0.81 to -8.39) and Hispanic (-6.79, 95% CL: -4.14 to -9.43) women smoked fewer PY than White women. Associations were generally suggestive of greater smoking with greater acculturation (immigration age, US years, survey language). Finally, associations for nativity differed by education but not race/ethnicity, with a higher likelihood of smoking in US-born women only among those with less than a bachelor's degree (OR = 2.84, 95% CL: 2.15-3.77; current smoking: P = 0.01, PY: P = 0.05). Asian and Hispanic (vs. White) and foreign-born (vs. US-born) breast cancer survivors reported fewer smoking behaviors. Smoking differences across nativity and education were driven by higher rates of smoking in US-born women with lower educational attainment. Smoking behavioral patterns were similar among breast cancer survivors and the general population, informing potential smoking interventions.

The association between unintended hysterotomy extensions with cesarean delivery and subsequent preterm birth

BackgroundAn increased risk of preterm birth has been observed among individuals with a previous second stage cesarean delivery compared with a previous vaginal delivery. One mechanism that may contribute to the increased risk of preterm birth following second stage cesarean delivery is the increased risk of cervical injury due to extension of the uterine incision (hysterotomy) into the cervix. Investigating the contribution of hysterotomy extension to the rate of preterm birth has not been well-studied and may shed light on the mechanisms underlying the observed relationship between mode of delivery and subsequent preterm birth. ObjectiveWe aimed to quantify the association between unintended hysterotomy extension and preterm birth in a subsequent delivery. Study designWe performed a retrospective cohort study using electronic perinatal data collected in two university-affiliated obstetrical centers. The study included patients with a primary cesarean delivery of a term, singleton live birth and a subsequent singleton birth in the same catchment (2005-2021). The primary outcome was subsequent preterm birth <37 weeks; secondary outcomes included subsequent preterm birth <34, <32 and <28 weeks. We assessed crude and adjusted associations between unintended hysterotomy extensions and subsequent preterm birth with log binomial regression models using rate ratios (RRs) and 95% confidence intervals (CIs). Adjusted models included several characteristics of the primary cesarean delivery such as maternal age, length of active labour, indication for cesarean delivery, chorioamnionitis, and maternal comorbidity. ResultsA total 4,797 patients met the study inclusion criteria. The overall rate of unintended hysterotomy extension in the primary cesarean delivery was 6.0% and the total rate of preterm birth in the subsequent pregnancy was 4.8%. Patients with an unintended hysterotomy extension were more likely to have a longer duration of active labour, chorioamnionitis, failed vacuum delivery attempt, second stage cesarean delivery, and persistent occiput posterior position of the fetal head in the primary cesarean delivery and higher rates of smoking in the subsequent pregnancy. Multivariable analyses controlling for several confounders showed that a history of hysterotomy extension is not associated with a higher risk of preterm birth <37 weeks gestation (adjusted RR 1.55, 95% CI 0.98-2.47), but is associated with preterm birth <34 weeks gestation (adjusted RR 2.49, 95% CI 1.06-5.42). ConclusionPatients with a uterine incision extension have a 2.5 times higher rate of preterm birth <34 weeks compared with patients who do not sustain this injury. This association was not observed for preterm birth <37 weeks. Future research should aim to replicate our analyses while incorporating additional data to minimize the potential for residual confounding.

Cigar Cessation Prevalence and Trends by Demographic Characteristics Among US Adults, TUS-CPS, 2010-2019.

Disproportionate rates of cigar smoking across demographic groups can contribute to tobacco-related health disparities in the United States. We assessed overall and demographic-specific cigar cessation rates from 2010 to 2019. To characterize cessation prevalence among selected demographic groups over time, we analyzed data from the 2010-2011, 2014-2015, and 2018-2019 Tobacco Use Supplement to the Current Population Survey (TUS-CPS). Individuals who reported either (1) current cigar smoking for at least 2 years or (2) quitting cigar smoking within the past 12 months were included in the study (n = 5262 in 2010-2011; n = 4741 in 2014-2015; n = 3741 in 2018-2019). Among this group, individuals who reported not smoking a cigar within the past 6 months were considered cigar quitters. Chi-square tests were used to test differences in cessation prevalence between the two survey waves within demographic groups as well as between different groups within survey waves. The prevalence of cigar cessation decreased from 2010-2011 to 2018-2019 for non-Hispanic (NH) White individuals, Hispanic individuals, and both males and females. (p < .05 for all groups). NH White individuals had significantly higher cessation prevalence than individuals who identified as NH Black (33.8% vs. 25.0%, respectively, in 2010-2011; 33.4% vs. 20.4% in 2014-2015; 31.1% vs. 22.3% in 2018-2019; p < .05 for all differences). Overall cigar cessation prevalence significantly decreased from 2010-2011 to 2018-2019. Findings from the study could provide an opportunity to implement strategies that promote cessation strategies targeting certain subpopulations. Cigar cessation patterns are starkly different across different demographic groups, which leads to a disproportionate burden of health-related effects of continued use of these products. These results can inform policy actions around cigar cessation efforts. Future research to close this disparity should be focused on populations that have lower cessation prevalence.

Combining neuroimaging and brain stimulation to test alternative causal pathways for nicotine addiction in schizophrenia

The smoking rate is high in patients with schizophrenia. Brain stimulation targeting conventional brain circuits associated with nicotine addiction has also yielded mixed results. We aimed to identify alternative circuitries associated with nicotine addiction in both the general population and schizophrenia, and then test whether modulation of such circuitries may alter nicotine addiction behaviors in schizophrenia. In Study I of 40 schizophrenia smokers and 51 non-psychiatric smokers, cross-sectional neuroimaging analysis identified resting state functional connectivity (rsFC) between the dorsomedial prefrontal cortex (dmPFC) and multiple extended amygdala regions to be most robustly associated with nicotine addiction severity in healthy controls and schizophrenia patients (p = 0.006 to 0.07). In Study II with another 30 patient smokers, a proof-of-concept, patient- and rater-blind, randomized, sham-controlled rTMS design was used to test whether targeting the newly identified dmPFC location may causally enhance the rsFC and reduce nicotine addiction in schizophrenia. Although significant interactions were not observed, exploratory analyses showed that this dmPFC–extended amygdala rsFC was enhanced by 4-week active 10Hz rTMS (p = 0.05) compared to baseline; the severity of nicotine addiction showed trends of reduction after 3 and 4 weeks (p ≤ 0.05) of active rTMS compared to sham; Increased rsFC by active rTMS predicted reduction of cigarettes/day (R = −0.56, p = 0.025 uncorrected) and morning smoking severity (R = −0.59, p = 0.016 uncorrected). These results suggest that the dmPFC–extended amygdala circuit may be linked to nicotine addiction in schizophrenia and healthy individuals, and future efforts targeting its underlying pathophysiological mechanisms may yield more effective treatment for nicotine addiction.

Connected Community Classification (C3): Development, Validation, and Geospatial Application for Population Health Promotion and Equity.

Social determinants of health (SDOH) impact population health. Leveraging community-level strengths related to SDOH through a social infrastructure perspective can optimize health behaviors and health outcomes to promote health equity. Our aims were to develop, validate, and apply the Connected Community Classification (C3) as comprehensive community-level measure of protective SDOH and structural factors in the Four Corners states region of the United States. C3 was developed using an iterative principal component analysis of publicly available data mapped to 5 SDOH domains. Regional clustering of C3 by zip code tabulation area (ZCTA) was identified using spatial autocorrelation methods. In adjusted spatial autoregressive models, we analyzed the association of C3 with high-risk health behaviors and chronic disease prevalence using publicly available data for population-level estimates of fruit and vegetable intake, physical activity, obesity, smoking, alcohol use, coronary heart disease (CHD), diabetes, and cancer. C3 was found to be reliable and valid; a C3 value of 10 indicates communities with greater connection (high), while a value of 1 indicates communities with greater separation (low) to social infrastructure. Lower connection, as measured by C3, was significantly inversely associated with lower fruit and vegetable intake, lower physical activity, and higher rates of obesity, smoking, CHD, diabetes, and cancer. C3 was significantly positively associated with heavy alcohol use. These findings demonstrate that communities connected to social infrastructure have better population health outcomes. C3 captures protective community attributes and can be used in future applications to assist health researchers, practitioners, nonprofits, and policymakers to advance social connection and health equity in geographically diverse underserved regions.

Frequency of cigarette smoking and its associated factors among men in East Africa: a pooled prevalence analysis of national survey using multinomial regression

BackgroundDespite the harmful effects of smoking, there have been few studies to pinpoint the factors of this habit, and little is known about it in the East African region. For this reason, this study sought to determine the frequency and factors of cigarette smoking among men in the region.MethodsData from recent demographic and health surveys carried out in ten East African countries between 2015 and 2022 were analyzed in this study. Data from 87,022 men was collected. The key factors affecting the smoking rates in the area were investigated using binary and multiple multinomial logistic regression. To ascertain if variables were statistically significant in the final model for binary regression and multiple regression, P values of ≤ 0.2 and < 0.05 were used respectively.ResultsOverall, about 14.69% of people currently smoke cigarettes. Of this about 11.03 (95% CI = 10.82, 11.24) was for daily active tobacco use. As compared to < 26-year-old men, men with an age range of 26–35 years (RRR = 2.17, 95% CI: 2.01,2.34), 36–45 years (RRR = 2.82, 95% CI: 2.60, 3.07), and > 45 years old (RRR = 3.68, 95% CI: 3.38, 4.02), were using cigarettes daily rather than no-smoking cigarettes. Men who had begun their first sexual intercourse at the age of 7–19 years (RRR = 6.27,95% CI, 5.35,7.35), 20–25 years (RRR = 4.01, 95% CI, 3.40,4.72), and greater than 25 years old (RRR = 3.08, 95% CI, 2.55,3.71) have shown a higher relative risk ratio to smoke cigarette daily rather than using not smoke cigarette respectively, married (RRR = 0.86, 95% CI, 0.79,0.93), divorced or widowed (RRR = 2.51, 95% CI, 2.27,2.77), middle wealth index (RRR = 2.11, 95% CI 1.98,2.24), and rich (RRR = 1.44, 95% CI, 1.34,1.54), secondary/higher education (RRR = 0.72, 05% CI, 0.66,0.77), rural men (RRR = 0.69, 95% CI, 0.65,0.73), employed men (RRR = 1.26,95% CI, 1.17,1.36), mass media exposure (RRR = 0.76, 95% CI, 0.73,0.81), men who have one sex partner (RRR = 1.23,95% CI,1.13,1.35), and more than one sex partner (RRR = 1.63, 95% CI, 1.47,1.79) more times as compared to those participants who had no sex partner respectively.ConclusionsMen in East African nations were substantially more likely to smoke cigarettes if they were older, had less education, had a higher wealth index, were divorced or widowed, had many sexual relationships, had early sexual activity, resided in an urban area, were employed, or had no media exposure. The identified factors should be considered by policymakers and public health professionals to lower smoking initiation and increase smoking cessation among men.

Adaptation and Validation of the Hooked on Nicotine Checklist (HONC) with Spanish Adolescents

IntroductionThe expansion of new tobacco consumption formats and electronic vapor products threatens to reverse the trend of declining smoking rates that had been observed among younger people in recent decades. Early detection in the health sector requires screening tools that have been adapted and validated in our context. This study aims to translate, culturally adapt, pilot and empirically validate the Hooked on Nicotine Checklist (HONC) with Spanish adolescents. MethodsThe process of translation and cultural adaptation included the following stages: direct translation, synthesis of translations, back translation, consolidation with a committee of experts and pre-test, along with a cognitive interview, which served as pilot testing. Empirical validation was conducted with a sample of 1027 adolescents aged between 12 and 18 (M=15.40; SD=1.638). ResultsThe results obtained confirm that the HONC is a brief, clear and easy-to-understand tool, with appropriate psychometric properties. A Cronbach's alpha value of 0.90 was obtained. Sensitivity, specificity, PPV and NPV indices reached values of 0.56, 0.94, 0.79 and 0.83, respectively. Cut-off point 1 is the one reaching the best balance between the two values. CFA showed a model good overall fit. ConclusionThis study makes the Spanish version of the HONC available to researchers and clinicians, so that it can be used with sufficient psychometric guarantees.

Histologic Distribution of Lung and Bronchus Tumors: A Population-Based Study in the Upper Peninsula of Michigan.

Lung cancer remains the leadingcause of cancer-related mortality in the United States, with cigarette smoking recognized as the most important modifiable risk factor. The distinct smoking rates and occupational landscape in the Upper Peninsula of Michigan underscore the necessity of investigating the multifactorial influences on the prevalence and distribution of lung and bronchus cancer within this population. This study, conducted from January 2012 to December 2022, included 1035 patients diagnosed with lung or bronchus tumors who were first seen and/or received the first course of treatment at Upper Peninsula Health Systems(UPHS) - Marquette, the largest hospital system in the Upper Peninsula of Michigan and one of only two radiation oncology treatment centers in the Upper Peninsula. This study demonstrated that the histologic trend of lung and bronchus cancers in asample of 1035 patients in the Upper Peninsula of Michigan closely resembles that of national averages. Participants with a lifetime history of smoking made up 943 (91.1%) cases of patients diagnosed with lung or bronchus cancers in this study. Lifetime non-smokers only made up 53 (5.1%) cases of patients diagnosed with lung or bronchus cancers. The median age at diagnosis of participants in this study was 70 years. Our study provides significant insights into the histologic distribution of lung and bronchus cancers within the Upper Peninsula of Michigan, addressing a notable gap in the current literature for this rural and medically underserved population. The histologic distribution of lung and bronchus cancers in this region aligns with national trends. Furthermore, the distinct rates of cigarette smoking in the Upper Peninsula emphasizethe critical role of smoking cessation efforts in reducing the burden of lung and bronchus cancers in this region.

Negative Pressure Wound Therapy With and Without Instillation in Necrotizing Soft Tissue Infections.

Background: Necrotizing soft tissue infections (NSTIs) are rare but deadly infections that require early and often extensive surgical debridement. After debridement, patients frequently have substantial morbidity because of large, open wounds. Hypothesis: Negative pressure wound therapy with instillation (NPWTi) results in higher wound closure rates compared with traditional negative pressure wound therapy (NPWT) or wet to dry dressings (moist wound care dressing). Patients and Methods: A prospectively maintained Acute and Critical Care Surgery database spanning 2008-2018 was queried for patients with a diagnosis of necrotizing fasciitis, Fournier gangrene, or gas gangrene. Data were collected on patient comorbidities, operative management, and clinical outcomes. Patients were stratified by use of moist wound care dressing, traditional NPWT, or NPWTi. Data were analyzed using analysis of variance (ANOVA), χ2, and logistic regression. Results: During the 10-year study period, patients were treated for NSTI; 173 were managed with moist wound care dressing, 150 with NPWT, and 48 with NPWTi. Patients were similar in terms of demographics, body mass index (BMI), diabetes mellitus, and smoking rates. Overall, complication rates were not substantially different, but mortality was higher in the moist wound care dressing group (16.2% vs. 10.7% NPWT vs. 2.1% NPWTi; p = 0.02). In the moist wound care dressing group, 81.5% of patients had an open wound at discharge compared with 52.7% of the NPWT group and only 14.6% of the NPWTi group (p < 0.001). On multivariable regression, NPWTi was associated with closure rates five times higher than the NPWT group (odds ratio [OR], 5.28; 95% confidence interval [CI], 2.40-11.61; p < 0.001) after controlling for smoking status, intravenous drug use, number of operations, and involvement of the most common region of the body. Conclusions: Negative pressure wound therapy with instillation is associated with higher rates of wound closure without increasing complication rates in patients with NSTI compared with traditional NPWT or moist wound care dressing. Although prospective studies are needed, this indicates the potential to improve patient quality of life through reduced pain and outpatient home health needs.

Testing the feasibility of the QuitAid smoking cessation intervention in a randomized factorial design in an independent, rural community pharmacy

BackgroundAdult smoking rates in the USA are highest in economically depressed rural Appalachia. Pharmacist-delivered tobacco cessation support that incorporates medication therapy management (such as the QuitAid intervention) is a promising approach to address this need.MethodsTwenty-four adult smokers recruited between September and November 2021 through an independent pharmacy in rural Appalachia were randomized in a non-blinded 2 × 2 × 2 factorial design to (1) pharmacist delivered QuitAid intervention (yes vs. no); (2) combination nicotine replacement therapy (NRT) gum + NRT patch (vs. NRT patch); and/or (3) 8 weeks of NRT (vs. standard 4 weeks). Participants received 4 weeks of NRT patch in addition to the components to which they were assigned. Participants completed baseline and 3-month follow-up assessments. Primary outcomes were feasibility of recruitment and randomization, retention, treatment adherence, and fidelity.ResultsParticipants were recruited in 7 weeks primarily through a referral process, commonly referred to as ask-advise-connect (61%). Participants were on average 52.4 years old, 29.2% were male and the majority were white (91.6%) and Non-Hispanic (91.7%). There was a high level of adherence to the interventions, with 85% of QuitAid sessions completed, 83.3% of the patch used, and 54.5% of gum used. Participants reported a high level of satisfaction with the program, and there was a high level of retention (92%).ConclusionsThis demonstration pilot randomized controlled study indicates that an ask-advise-connect model for connecting rural smokers to smoking cessation support and providing QuitAid for smoking cessation is feasible and acceptable among rural Appalachian smokers and independent pharmacists. Further investigation into the efficacy of a pharmacist-delivered approach for smoking cessation is needed.Trial registrationThe trial was retrospectively registered at ClinicalTrials.gov. Trial #: NCT05649241.

Safety and learning curve analysis of robotic-assisted pancreaticoduodenectomy: experience of a single surgeon.

Although prior studies have discussed learning curves (LC) of robotic-assisted pancreaticoduodenectomy (RPD), a recognized definition is lacking. This study analyzed the clinical outcomes of 85 consecutive RPD cases performed by a single surgeon to evaluate the safety and learning curve of RPD using the da Vinci Xi robotic system. There were 51 male and 34 female patients, with a median age of 64 (20-87) years. The average preoperative body weight and BMI were 64.15 ± 11.43kg and 23.36 ± 3.33kg/m2, respectively. The clinical outcomes of each patient were analyzed using the textbook outcome(TO), and the learning curve of the RPD was evaluated by calculating the TO rate of patients using the cumulative sum analysis method (CUSUM).The operation time (OT) was 288.92 ± 44.41min, and the postoperative hospital stay was 10 (1-134) days. In total, 23.52% (20/85), 5.88% (5/85), 2.35% (2/85), and 5.9% (5/85) experienced grade IIIa, IIIb, IV, and V complications. A total of 46 patients achieved TO outcomes (TO group), while 39 did not (non-TO group). The smoking rate in the TO group was lower (P < 0.05) and the albumin level was higher (P < 0.05) than that in the non-TO group. The TO rate became positive after the 56th case, all patients were divided into a learning improvement group (56 cases) and a proficient group (29 cases). The total bilirubin level in the learning improvement group was lower (P < 0.05) and the bleeding volume was higher (P < 0.05).RPD is safe and effective for carefully selected patients. The learning curve was completed after 56 patients.