I smoke to cope with pain: patients\u27 perspectives on the link between cigarette smoking and pain

BACKGROUND: For people with chronic pain, cigarette smoking is associated with greater pain intensity and impairment. Researchers have hypothesized a reciprocal relationship in which pain and smoking exacerbate each other, resulting in greater pain and increased smoking. This study aimed to qualitatively examine patient perspectives on this association. METHODS: A retrospective thematic analysis of smoking cessation counseling notes for 136 veterans in the Pain and Smoking Study, a tailored smoking cessation trial, was conducted. A validated codebook was applied to each counseling note by four independent coders using Atlas.ti (Atlas.ti, Berlin, Germany). Coders participated in a consensus-forming exercise with salient themes validated among the wider research team. KEY RESULTS: Participants averaged 60 years of age (range 28-77 years) and were 9% female. The median number of cigarettes smoked per day was 15, with a mean pain intensity score in the last week (from 0-10) of 5.1. While not all patients acknowledged a connection between pain and smoking, we found that (1) pain motivates smoking and helps manage pain-related distress, as a coping strategy and through cognitive distraction, and (2) pain motivates smoking but smoking does not offer pain relief. Concerns about managing pain without smoking was identified as a notable barrier to cessation. CONCLUSION: Many patients with chronic pain who smoke readily identified pain as a motivator of their smoking behavior and are reluctant to quit for this reason. Integrated interventions for smokers with pain should address these perceptions and expectancies and promote uptake of more adaptive self-management strategies for pain

Impact of Cigarette Smoking Status on Pain Intensity Among Veterans With and Without Hepatitis C

Objective: Chronic pain is a significant problem in patients living with hepatitis C virus (HCV). Tobacco smoking is an independent risk factor for high pain intensity among veterans. This study aims to examine the independent associations with smoking and HCV on pain intensity, as well as the interaction of smoking and HCV on the association with pain intensity. Design/Particpants: Cross-sectional analysis of a cohort study of veterans of Operations Enduring Freedom/Iraqi Freedom/New Dawn (OEF/OIF/OND) who had at least one visit to a Veterans Health Administration (VHA) primary care clinic between 2001 and 2014. Methods: HCV was identified using ICD-9 codes from electronic medical records (EMRs). Pain intensity, reported on a 0-10 numeric rating scale, was categorized as none/mild (0-3) and moderate/severe (4-10). Results: Among 654,841 OEF/OIF/OND veterans (median age [interquartile range] = 26 [23-36] years), 2,942 (0.4%) were diagnosed with HCV. Overall, moderate/severe pain intensity was reported in 36% of veterans, and 37% were current smokers. The adjusted odds of reporting moderate/severe pain intensity were 1.23 times higher (95% confidence interval [CI] = 1.14-1.33) for those with HCV and 1.26 times higher (95% CI = 1.25-1.28) for current smokers. In the interaction model, there was a significant Smoking Status x HCV interaction (P = 0.03). Among veterans with HCV, smoking had a significantly larger association with moderate/severe pain (adjusted odds ratio [OR] = 1.50, P \u3c 0.001) than among veterans without HCV (adjusted OR = 1.26, P \u3c 0.001). Conclusions: We found that current smoking is more strongly linked to pain intensity among veterans with HCV. Further investigations are needed to explore the impact of smoking status on pain and to promote smoking cessation and pain management in veterans with HCV

Racial, Ethnic, and Rural Disparities in US Veteran COVID-19 Vaccine Rates

Background: Race, ethnicity, and rurality-related disparities in coronavirus disease 2019 (COVID-19) vaccine uptake have been documented in the United States (US). Objective: We determined whether these disparities existed among patients at the Department of Veterans Affairs (VA), the largest healthcare system in the US. Design, Settings, Participants, Measurements: Using VA Corporate Data Warehouse data, we included 5,871,438 patients (9.4% women) with at least one primary care visit in 2019 in a retrospective cohort study. Each patient was assigned a single race/ethnicity, which were mutually exclusive, self-reported categories. Rurality was based on 2019 home address at the zip code level. Our primary outcome was time-to-first COVID-19 vaccination between December 15, 2020-June 15, 2021. Additional covariates included age (in years), sex, geographic region (North Atlantic, Midwest, Southeast, Pacific, Continental), smoking status (current, former, never), Charlson Comorbidity Index (based on ≥1 inpatient or two outpatient ICD codes), service connection (any/none, using standardized VA-cutoffs for disability compensation), and influenza vaccination in 2019-2020 (yes/no). Results: Compared with unvaccinated patients, those vaccinated (n=3,238,532; 55.2%) were older (mean age in years vaccinated=66.3, (standard deviation=14.4) vs. unvaccinated=57.7, (18.0), p<.0001)). They were more likely to identify as Black (18.2% vs. 16.1%, p<.0001), Hispanic (7.0% vs. 6.6% p<.0001), or Asian American/Pacific Islander (AA/PI) (2.0% vs. 1.7%, P<.0001). In addition, they were more likely to reside in urban settings (68.0% vs. 62.8, p<.0001). Relative to non-Hispanic White urban Veterans, the reference group for race/ethnicity-urban/rural hazard ratios reported, all urban race/ethnicity groups were associated with increased likelihood for vaccination except American Indian/Alaskan Native (AI/AN) groups. Urban Black groups were 12% more likely (Hazard Ratio (HR)=1.12 [CI 1.12-1.13]) and rural Black groups were 6% more likely to receive a first vaccination (HR=1.06 [1.05-1.06]) relative to white urban groups. Urban Hispanic, AA/PI and Mixed groups were more likely to receive vaccination while rural members of these groups were less likely (Hispanic: Urban HR=1.17 [1.16-1.18], Rural HR=0.98 [0.97-0.99]; AA/PI: Urban HR=1.22 [1.21-1.23], Rural HR=0.86 [0.84-0.88]). Rural White Veterans were 21% less likely to receive an initial vaccine compared with urban White Veterans (HR=0.79 [0.78-0.79]). AI/AN groups were less likely to receive vaccination regardless of rurality: Urban HR=0.93 [0.91-0.95]; AI/AN-Rural HR=0.76 [0.74-0.78]. Conclusions: Urban Black, Hispanic, and AA/PI Veterans were more likely than their urban White counterparts to receive a first vaccination; all rural race/ethnicity groups except Black patients had lower likelihood for vaccination compared with urban White patients. A better understanding of disparities and rural outreach will inform equitable vaccine distribution

Coordinating women\u27s preventive health care for rural veterans

PURPOSE: As the number of women veterans receiving care from the Veterans Health Administration (VHA) continues to increase, so does the need to access gender-specific preventive health care services through the VHA. In rural areas, women veterans are the numeric minority, so many preventive screenings are performed outside of the VA by community providers. As the numbers of veterans utilizing both VHA and non-VHA providers for their preventive care continue to increase, so does the need to coordinate this care. This research examines the role of the Women Veterans\u27 Care Coordinator (WVCC) at rural facilities and their perceptions of coordinating preventive care. METHODS: Between March and July 2019, semi-structured telephone interviews were conducted with WVCCs at 26 rural VA facilities. Each interview was digitally recorded and transcribed verbatim. Transcripts were loaded into Atlas.ti for further analysis. Once the codes were refined, the investigators coded the 26 interviews independently and conferred to achieve consensus on the underlying themes. FINDINGS: Five themes arose from the WVCC interviews: (1) Rural women veterans have varying needs of coordination; (2) Fragmented communication between the VA and non-VA care settings hinders effective coordination; (3) Difficulties in prioritizing rural care coordination; (4) Care coordination impacts patient care; and (5) WVCC recommendations to improve rural care coordination. CONCLUSIONS: The recent addition of WVCCs to rural facilities has expanded the VA\u27s reach to veterans living in the most rural areas. As a result, many of these women are now receiving timely, quality, and coordinated health care

Factors Associated With Quitting Smoking During Pregnancy Among Women Veterans

INTRODUCTION: Little is known about the rates of smoking among pregnant veterans. Our objective was to examine rates of smoking during pregnancy and factors associated with quitting smoking during pregnancy. METHODS: We used data from a cohort study of pregnant veterans from 15 Veterans Health Administration facilities nationwide. Veterans who reported smoking during pregnancy were included in this analysis. Poisson regression models were used to estimate the relative risk (RR) of quitting smoking during pregnancy. RESULTS: Overall, 133 veterans reported smoking during pregnancy. Among this group of women who smoked, the average age was 31.6 years, 20% were Black, and 14% were Hispanic/Latino. More than one-half of women (65%) who reported smoking at the start of pregnancy quit smoking during pregnancy. Multivariable models, adjusted for history of deployment and age, indicated that prenatal care initiation at 12 or fewer weeks compared with more than 13 weeks (relative risk [RR], 2.06; 95% confidence interval [CI], 1.18-3.58), living without household smokers compared with any household smokers (RR, 1.58; 95% CI, 1.14-2.17), and first pregnancy (RR, 1.51; 95% CI, 1.17-1.95) were significant predictors of quitting versus persistent smoking during pregnancy. CONCLUSIONS: Women veterans who quit smoking may be different than those who continue to smoke during pregnancy. Establishing prenatal care early in pregnancy, which likely includes counseling about smoking cessation, seems to be an important factor in quitting. Those for whom it is not a first pregnancy and who live with other smokers may especially benefit from such counseling

Smoking Status and Pain Intensity Among OEF/OIF/OND Veterans

OBJECTIVE: Pain and smoking are highly prevalent among Veterans. Studies in non-Veteran populations have reported higher pain intensity among current smokers compared with nonsmokers and former smokers. We examined the association of smoking status with reported pain intensity among Veterans of Operations Enduring Freedom, Iraqi Freedom, and New Dawn (OEF/OIF/OND). DESIGN: The sample consisted of OEF/OIF/OND Veterans who had at least one visit to Veterans Affairs (2001-2012) with information in the electronic medical record for concurrent smoking status and pain intensity. The primary outcome measure was current pain intensity, categorized as none to mild (0-3); moderate (4-6); or severe ( \u3e /=7); based on a self-reported 11-point pain numerical rating scale. Multivariable logistic regression analyses were used to assess the association of current smoking status with moderate to severe ( \u3e /=4) pain intensity, controlling for potential confounders. RESULTS: Overall, 50,988 women and 355,966 men Veterans were examined. The sample mean age was 30 years; 66.3% reported none to mild pain; 19.8% moderate pain; and 13.9% severe pain; 37% were current smokers and 16% former smokers. Results indicated that current smoking [odds ratio (OR) = 1.29 (95% confidence intervals (CI) = 1.27-1.31)] and former smoking [OR = 1.02 (95% CI = 1.01-1.05)] were associated with moderate to severe pain intensity, controlling for age, service-connected disability, gender, obesity, substance abuse, mood disorders, and Post Traumatic Stress Disorder. CONCLUSIONS: We found an association between current smoking and pain intensity. This effect was attenuated in former smokers. Our study highlights the importance of understanding reported pain intensity in OEF/OIF/OND Veterans who continue to smoke

Highly-selective semiconducting single walled carbon nanotubes separation for optoelectronic at telecom wavelength

International audienc

Highly-selective semiconducting single walled carbon nanotubes separation for optoelectronic at telecom wavelength

International audienc

Carbon-based optoelevtronics on silicon using semiconducting single wall carbon nanotubes

International audienceSingle-wall carbon nanotubes (SWNTs) are known for their exceptional physical properties ranging from mechanics to electronics and optics. These properties are expected to give rise to innovative applications, especially when nanotubes are incorporated in new functional devices. However, the conception of an effective SWNT-based electronic or optoelectronic technology faces three main concerns: the extraction of semiconducting SWNTs having the desired optoelectronic characteristics from the as-synthetized poly-disperse mixture; the deposition of high nanotube concentrations at desired areas to increases transport and optical performances and the alignment of nanotubes on the substrate. Using an effective polymer-assisted sorting approach, we obtain highly-selective separation of semiconducting SWNTs that can be coupled with optoelectronic silicon-based devices operating at the telecom wavelength of 1.5 µm. Our modified evaporative self-assembly approach can deposit concentrated SWNT networks with configurations varying from random to highly-oriented assembly. In the latter case, the obtained orientation is particularly favorable for device fabrication and operation. Several configurations enabling photo-detection and electroluminescence at the chip level are currently under investigation and the latest results will be presented