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Background: Cannabis use among college students represents a continued public health issue. The objective was to assess risk factors and reasons for cannabis use among students who violated their university's drug use policy, and whether risk factors influenced cannabis use quantity. Methods: This cross-sectional survey study included 99 college students enrolled at a large U.S. public university. Descriptive statistics were calculated, and an ordinary least squares regression analysis was conducted. Results: Students reported using cannabis an average of 7.4 (SD = 10.2) days in the past month, with 8% reporting daily use. On average, students consumed slightly over 0.25 (SD = 0.25) grams per day, with 40% reporting greater than one gram per day. The average age of onset of cannabis use was 16.8 (SD = 1.8) years old. The top reasons for cannabis use were to: relax or relieve tension (75.8%), feel good or get high (62.6%), and have a good time with friends (60.6%). Students perceived an average of 47% of their peers engaged in past-month cannabis use and only slight risk was associated with regular use. Students perceived their loved ones would mostly approve of a reduction in their cannabis use. Regression results indicated past-month cannabis frequency (p = .002) and being of racial/ethnic minority descent (p = .05) were positively associated with quantity of cannabis per day, while perceived risk of regular cannabis use (ß = -0.21) was negatively associated. Conclusion: Evidence-based cannabis interventions for students who violate their university's drug use policies are critically needed that aim to reduce cannabis use and mitigate its associated negative consequences.
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(1) Background: Volatile organic compounds (VOCs) are indoor pollutants absorbed by inhalation. The association of several VOCs with lung function in children and adolescents is unknown. (2) Methods: We analyzed 505 participants, 6-17-year-olds from the 2011-2012 National Health and Nutrition Examination Survey. Multiple linear regression models were fitted to estimate the associations of VOC metabolites with spirometry outcomes adjusting for covariates. (3) Results: Urinary metabolites of xylene, acrylamide, acrolein, 1,3-butadiene, cyanide, toluene, 1-bromopropane, acrylonitrile, propylene oxide, styrene, ethylbenzene, and crotonaldehyde were all detected in ≥64.5% of participants. Forced expiratory volume in 1 s (FEV1) % predicted was lower in participants with higher levels of metabolites of acrylamide (ß: -7.95, 95% CI: -13.69, -2.21) and styrene (ß: -6.33, 95% CI: -11.60, -1.07), whereas the FEV1 to forced vital capacity (FVC) ratio % was lower in children with higher propylene oxide metabolite levels (ß: -2.05, 95% CI: -3.49, -0.61). FEV1 % predicted was lower with higher crotonaldehyde metabolite levels only in overweight/obese participants (ß: -15.42, 95% CI: -26.76, -4.08) (Pinteraction < 0.001) and with higher 1-bromopropane metabolite levels only in those with serum cotinine > 1 ng/mL (ß: -6.26, 95% CI: -9.69, -2.82) (Pinteraction < 0.001). (4) Conclusions: We found novel associations of metabolites for acrylamide, propylene oxide, styrene, 1-bromopropane and crotonaldehyde with lower lung function in children and adolescents.
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Introduction: Pharmacological strategies are often central to chronic pain management; however, pain treatment among non-Hispanic Black men may differ because of their disease profiles and healthcare interactions. However, less is known about pain medication prescribing and patients' satisfaction with pain treatment and management among non-Hispanic Black men with self-reported chronic pain. Purpose: This study assessed factors associated with non-Hispanic Black men being prescribed/recommended narcotics/opioids for chronic pain and their satisfaction with pain treatment/management. Methods: Data were analyzed from 286 non-Hispanic Black men with chronic pain who completed an internet-delivered questionnaire. Participants were recruited nationwide using a Qualtrics web-based panel. Logistic regression was used to identify factors associated with being prescribed/recommended narcotics/opioids for pain management treatment. Then, ordinary least squares regression was used to identify factors associated with their satisfaction level with the pain treatment/management received. Results: On average, participants were 56.2 years old and 48.3% were prescribed/recommended narcotics/opioids for chronic pain. Men with more chronic conditions (Odds Ratio [OR] = 0.57, P = 0.043) and depression/anxiety disorders (OR = 0.53, P = 0.029) were less likely to be prescribed/recommended narcotics/opioids. Men who were more educated (OR = 2.09, P = 0.044), reported more frequent chronic pain (OR = 1.28, P = 0.007), and were allowed to participate more in decisions about their pain treatment/management (OR = 1.11, P = 0.029) were more likely to be prescribed/recommended narcotics/opioids. On average, men with more frequent chronic pain (B = -0.25, P = 0.015) and pain problems (B = -0.16, P = 0.009) were less satisfied with their pain treatment/management. Men who were allowed to participate more in decisions about their pain treatment/management reported higher satisfaction with their pain treatment/management (B = 0.55, P < 0.001). Conclusion: Playing an active role in pain management can improve non-Hispanic Black men's satisfaction with pain treatment/management. This study illustrates the importance of patient-centered approaches and inclusive patient-provider interactions to improve chronic pain management.
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OBJECTIVES: Tobacco smoke exposure (TSE) and poor sleep are public health problems with their own set of consequences. This study assessed whether TSE was associated with sleep duration among U.S. adolescents. METHOD: We conducted a secondary analysis of 2013-2018 National Health and Nutrition Examination Survey data including 914 nontobacco-using adolescents ages 16-19 years. TSE measures included cotinine and self-reported home TSE groups including no home TSE, thirdhand smoke (THS) exposure, and secondhand smoke (SHS)+THS exposure. Sleep duration was assessed in hours and categorically as insufficient sleep (
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Contaminación por Humo de Tabaco , Humanos , Adolescente , Contaminación por Humo de Tabaco/efectos adversos , Contaminación por Humo de Tabaco/análisis , Encuestas Nutricionales , Privación de Sueño , Duración del Sueño , Cotinina/análisisRESUMEN
BACKGROUND: Tobacco smoke exposure (TSE) through secondhand and thirdhand smoke is a modifiable risk factor that contributes to childhood morbidity. Limited research has assessed surface TSE pollution in children's environments as a potential source of thirdhand smoke exposure, and none have examined levels of the tobacco-specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) on surfaces. OBJECTIVE: This study measured surface NNK and nicotine in children's homes and associations with sociodemographics and parent-reported TSE behaviors. We assessed correlations of surface NNK and nicotine with dust NNK, dust nicotine, and child cotinine. METHODS: Home surface wipe NNK and nicotine data from 84 children who lived with smokers were analyzed. Tobit and simple linear regression analyses were conducted to assess associations of surface NNK and nicotine with child characteristics. Spearman's (ρ) correlations assessed the strength of associations between environmental markers and child cotinine. RESULTS: Nearly half (48.8%) of children's home surfaces had detectable NNK and 100% had detectable nicotine. The respective geometric means (GMs) of surface NNK and nicotine loadings were 14.0 ng/m2 and 16.4 µg/m2. Surface NNK positively correlated with surface nicotine (ρ = 0.54, p < 0.001) and dust NNK (ρ = 0.30, p = 0.020). Surface nicotine positively correlated with dust NNK (ρ = 0.42, p < 0.001) and dust nicotine (ρ = 0.24, p = 0.041). Children with household incomes ≤$15,000 had higher surface NNK levels (GM = 18.7 ng/m2, p = 0.017) compared to children with household incomes >$15,000 (GM = 7.1 ng/m2). Children with no home smoking bans had higher surface NNK (GM = 18.1 ng/m2, p = 0.020) and surface nicotine (GM = 17.7 µg/m2, p = 0.019) levels compared to children with smoking bans (GM = 7.5 ng/m2, 4.8 µg/m2, respectively). IMPACT: Although nicotine on surfaces is an established marker of thirdhand smoke pollution, other thirdhand smoke contaminants have not been measured on surfaces in the homes of children living with smokers. We provide evidence that the potent carcinogenic tobacco-specific nitrosamine NNK was detectable on surfaces in nearly half of children's homes, and nicotine was detectable on all surfaces. Surface NNK was positively correlated with surface nicotine and dust NNK. Detectable surface NNK levels were found in homes with indoor smoking bans, indicating the role of NNK as a persistent thirdhand smoke pollutant accumulating on surfaces as well as in dust.
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Cotinina , Polvo , Nicotina , Nitrosaminas , Contaminación por Humo de Tabaco , Humanos , Nitrosaminas/análisis , Contaminación por Humo de Tabaco/análisis , Niño , Nicotina/análisis , Femenino , Masculino , Polvo/análisis , Cotinina/análisis , Preescolar , Contaminación del Aire Interior/análisis , Carcinógenos/análisis , Vivienda , Monitoreo del Ambiente/métodos , Exposición a Riesgos Ambientales/análisis , Nicotiana/químicaRESUMEN
BACKGROUND: Tobacco smoke exposure (TSE) has inflammatory and immunosuppressive effects which may be associated with altered levels of inflammatory markers and pediatric illnesses. OBJECTIVE: The primary objective was to examine the associations of cotinine-confirmed and parent-reported child TSE patterns and discharge diagnoses with C-reactive protein (CRP), IL-8, and IL-10 in 0-11-year-old pediatric emergency department (PED) patients who lived with ≥ 1 smoker. METHODS: Saliva samples were obtained from 115 children with a mean (SD) age of 3.5 (3.1) years during the PED visit (T0). Saliva was analyzed for cotinine, CRP, IL-8, and IL-10. Parents self-reported their children's TSE patterns; children's medical records were reviewed to identify and categorize discharge diagnoses. Linear regression models were utilized to find T0 associations of cotinine-confirmed and parent-reported child TSE patterns, and PED diagnoses with each inflammatory marker. All models were adjusted for child race/ethnicity, child sex, annual household income, and housing type. The TSE models also adjusted for child discharge diagnosis. RESULTS: At T0, the geometric mean (GeoM) of cotinine was 4.1 ng/ml [95 %CI = 3.2-5.2]; the GeoMs of CRP, IL-8, and IL-10 were 3,326 pg/ml [95 %CI = 2,696-4,105], 474 pg/ml [95 %CI = 386-583], and 1.1 pg/ml [95 %CI = 0.9-1.3], respectively. Parent-reported child TSE patterns were positively associated with ln-transformed CRP levels, while adjusting for the covariates (ß^ = 0.012 [95 %CI:0.004-0.020], p = 0.037). In the parent-reported child TSE pattern model, there were significant positive associations between the covariate of child age with CRP and IL-8 levels (p = 0.028 and p < 0.001, respectively). Children with a bacterial diagnosis had higher IL-8 levels (p = 0.002) compared to the other diagnosis groups. CONCLUSIONS: Results indicate that parent-reported child TSE increases the expression of CRP in ill children and supports prior work demonstrating that IL-8 is higher in children with TSE who have bacterial infections. These findings should be examined in future research with ill children with and without TSE.
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Contaminación por Humo de Tabaco , Humanos , Niño , Preescolar , Recién Nacido , Lactante , Contaminación por Humo de Tabaco/efectos adversos , Contaminación por Humo de Tabaco/análisis , Cotinina/análisis , Cotinina/metabolismo , Interleucina-10 , Interleucina-8 , Proteína C-ReactivaRESUMEN
OBJECTIVES: Primary objectives were to examine the relations among abilities for making and keeping friends, involvement in after-school activities, and flourishing for adolescents with current asthma, as well as comorbid behavior problems, anxiety, or depression. METHODS: Data from the 2021 National Survey of Child Health was analyzed. Parents provided data on one child. Multinomial logistic regression analyses, both unadjusted and adjusted for the sampling weight, were conducted for adolescents with current asthma and comorbid behavior problems, anxiety, or depression. Predictors of flourishing included difficulty in making and keeping friends and involvement in after-school activities. Sex, age, race/ethnic group, and having been bullied were covariates. To examine differences for children with varied comorbid emotional and behavioral problems, relations were tested separately for children with asthma and behavior problems, children with asthma and anxiety, and children with asthma and depression. RESULTS: Skills for making and keeping friends were positively related to flourishing of adolescents with current asthma for all three types of mental health concerns. The relationship between involvements in after-school activities was less clear-cut, as this predictor was not always positively related to flourishing. CONCLUSIONS: Abilities to make and keep friends were related to flourishing, indicating that peer support is a resilience factor. Conversely, it was not clear that involvement in after-school activities was a resilience factor and more research about factors constituting successful after-school involvement for adolescents with asthma is needed. Future research, illuminating how social support from peers and involvement in activities promote flourishing will extend knowledge.
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(1) Background: Adverse childhood experiences (ACEs), which are potentially traumatic childhood events, have been associated with increased tobacco product use. Less is known about electronic cigarette (e-cigarette) use during young adulthood. This study explored the associations between ACEs and current e-cigarette use among U.S. young adults. (2) Methods: This study was a secondary analysis of 2021 Behavioral Risk Factor Surveillance System data including 2537 young adults aged 18-24 years. Unadjusted and adjusted logistic regression analyses were conducted. (3) Results: Of the participants, 19.2% currently used e-cigarettes, and 22.1% reported 1 ACE, 13.0% reported 2 ACEs, 10.7% reported 3 ACEs, and 30.6% reported ≥4 ACEs. Unadjusted results indicated that participants who experienced 1 ACE (odds ratio (OR) = 1.76, 95% confidence interval (CI) = 1.01-3.07), 2 ACEs (OR = 2.18, 95%CI = 1.24-3.83), 3 ACEs (OR = 2.63, 95%CI = 1.41-4.90), and ≥4 ACEs (OR = 3.69, 95%CI = 2.23-6.09) were at increased odds of reporting current e-cigarette use than participants who experienced 0 ACEs. Adjusted results indicated that participants who experienced 3 ACEs were at 2.20 times higher odds (95%CI = 1.15-4.23) and participants who experienced ≥4 ACEs were at 2.73 times higher odds (95%CI = 1.58-4.71) of reporting current e-cigarette use than participants who experienced 0 ACEs. (4) Conclusions: Young adults exposed to ACEs are at risk of using e-cigarettes.
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The prevalence of type 2 diabetes (T2D) is increasing among non-Hispanic Black and Hispanic communities, especially among men who develop this chronic condition at earlier ages. Personal agency and social support are vital aspects to diabetes management. However, less is known about the relationship between these variables among men living with diabetes. The purposes of this study were to identify (1) levels of personal agency to manage health, (2) sources of social supports to manage health based on personal agency levels, and (3) factors associated with lower personal agency to manage health. Cross-sectional data from non-Hispanic Black (n = 381) and Hispanic (n = 292) men aged 40 years or older with T2D were collected using an internet-delivered questionnaire. Three binary logistic regression models were fitted to assess sociodemographics, health indicators, and support sources associated with weaker personal agency to manage health. About 68% of participants reported having the strongest personal agency relative to 32.1% reporting weaker personal agency. Men who relied more on their spouse/partner (odds ratio [OR] = 1.22, p = .025), coworkers (OR = 1.59, p = .008), or faith-based organizations (OR = 1.29, p = .029) for ongoing help/support to improve their health and manage health problems were more likely to have weaker personal agency. Conversely, men who relied more on their health care providers for ongoing help/support to improve their health and manage health problems were less likely to have weaker personal agency to manage health (OR = 0.74, p < .001). Findings suggest personal agency may influence men's support needs to manage T2D, which may also be influenced by cultural, socioeconomics, and the composition of social networks.
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Diabetes Mellitus Tipo 2 , Autonomía Personal , Automanejo , Apoyo Social , Humanos , Masculino , Estudios Transversales , Diabetes Mellitus Tipo 2/terapia , Hispánicos o Latinos , Hombres , Negro o Afroamericano , AdultoRESUMEN
Objectives: An important step in preparing data for statistical analysis is outlier detection and removal, yet no gold standard exists in current literature. The objective of this study is to identify the ideal decision test using the National Health and Nutrition Examination Survey (NHANES) 2017-2018 dietary data. Methods: We conducted a secondary analysis of NHANES 24-h dietary recalls, considering the survey's multi-stage cluster design. Six outlier detection and removal strategies were assessed by evaluating the decision tests' impact on the Pearson's correlation coefficient among macronutrients. Furthermore, we assessed changes in the effect size estimates based on pre-defined sample sizes. The data were collected as part of the 2017-2018 24-h dietary recall among adult participants (N=4,893). Results: Effect estimate changes for macronutrients varied from 6.5 % for protein to 39.3 % for alcohol across all decision tests. The largest proportion of outliers removed was 4.0 % in the large sample size, for the decision test, >2 standard deviations from the mean. The smallest sample size, particularly for alcohol analysis, was most affected by the six decision tests when compared to no decision test. Conclusions: This study, the first to use 2017-2018 NHANES dietary data for outlier evaluation, emphasizes the importance of selecting an appropriate decision test considering factors such as statistical power, sample size, normality assumptions, the proportion of data removed, effect estimate changes, and the consistency of estimates across sample sizes. We recommend the use of non-parametric tests for non-normally distributed variables of interest.
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BACKGROUND: Exposure to thirdhand smoke (THS) residue takes place through inhalation, ingestion, and dermal transfer. Hand nicotine levels have been proposed to measure THS pollution in the environment of children, but little is known about its variability and stability over time and correlates of change. OBJECTIVES: The goal was to determine the stability of hand nicotine in comparison to urinary biomarkers and to explore factors that influence changes in hand nicotine. METHODS: Data were collected from 0 to 11-year-old children (Mean age = 5.9) who lived with ≥1 tobacco smokers (N = 129). At a 6-week interval, we collected repeated measures of hand nicotine, four urinary biomarkers (cotinine, trans-3'-hydroxycotinine, nicotelline N-oxides, and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol), and parent-reported child tobacco smoke exposure (TSE). Dependent sample t-tests, correlations, and multivariable regression analyses were conducted to examine the changes in child TSE. RESULTS: Hand nicotine levels (r = 0.63, p < 0.001) showed similar correlations between repeated measures to urinary biomarkers (r = 0.58-0.71; p < 0.001). Different from urinary biomarkers, mean hand nicotine levels increased over time (t(113) = 3.37, p < 0.001) being significantly higher in children from homes without smoking bans at Time 2 (p = 0.016) compared to Time 1 (p = 0.003). Changes in hand nicotine correlated with changes in cotinine and trans-3'-hydroxycotinine (r = 0.30 and r = 0.19, respectively, p < 0.05). Children with home smoking bans at Time 1 and 2 showed significantly lower hand nicotine levels compared to children without home smoking bans. DISCUSSION: Findings indicate that hand nicotine levels provide additional insights into children's exposure to tobacco smoke pollutants than reported child TSE and urinary biomarkers. Changes in hand nicotine levels show that consistent home smoking bans in homes of children of smokers can lower THS exposure. Hand nicotine levels may be influenced by the environmental settings in which they are collected.
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Política para Fumadores , Contaminación por Humo de Tabaco , Humanos , Niño , Preescolar , Recién Nacido , Lactante , Nicotina/análisis , Cotinina/análisis , Contaminación por Humo de Tabaco/efectos adversos , Contaminación por Humo de Tabaco/análisis , Fumadores , BiomarcadoresRESUMEN
OBJECTIVE: Nicotine use can influence inadequate sleep, but less is known about the associations of exclusive and dual use of electronic cigarettes (e-cigarettes) with combustible cigarettes in U.S. young adults. This study assessed the associations between current exclusive e-cigarette use, exclusive cigarette smoking, and dual e-cigarette and combustible cigarette use and inadequate sleep duration among U.S. young adults. METHODS: We performed a secondary analysis of 2020 Behavioral Risk Factor Surveillance System (BRFSS) data including 13,978 U.S. young adults ages 18-24 years. Inadequate sleep duration was assessed categorically using the National Sleep Foundation's age-specific recommendations that define <7 h as inadequate sleep. Weighted logistic regression models were performed while adjusting for participants' sex, race/ethnicity, education level, annual household income level, body mass index, current physical activity, mental health status, disability status, current alcohol use, and current smokeless tobacco use. RESULTS: Concerning use patterns, 11.8% of young adults were exclusive e-cigarette users, 4.7% were exclusive cigarette smokers, and 3.8% were dual e-cigarette and combustible cigarette users. Exclusive e-cigarette users (adjusted odds ratio [AOR] = 1.41, 95% confidence interval [CI] = 1.16-1.72), exclusive cigarette smokers (AOR = 1.63, 95%CI = 1.22-2.18), and dual product users (AOR = 2.03, 95%CI = 1.44-2.86) were at increased odds of having inadequate sleep duration compared to non-users, while adjusting for the covariates. Additionally, dual product users were at increased odds (AOR = 1.52, 95%CI = 1.06-2.19) of reporting inadequate sleep duration compared to exclusive e-cigarette users, while adjusting for the covariates. CONCLUSIONS: Current e-cigarette and cigarette use may influence inadequate sleep among U.S. young adults. Tobacco cessation efforts may encourage increased sleep health.
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(1) Background: Pediatric emergency department (PED) settings are opportune venues in which to recruit parental smokers into tobacco cessation interventions. However, the barriers associated with parents' participation in PED-based cessation trials are unknown. The objective was to explore parents' reasons for non-participation in a PED-based tobacco cessation trial. (2) Methods: We employed the framework method and conducted a qualitative data analysis of parental smokers who were eligible to participate in a PED-based tobacco cessation trial and did not choose to participate (n = 371). (3) Results: Two main themes emerged about reasons for non-participation: (a) Not interested in participating in a research study, and (b) concerns specific to the study. Parents had various reasons for not participating in the cessation trial including not being interested in quitting, parents' health and well-being, parents' beliefs about research, and time required for the study and follow-up visits. (4) Conclusion: General disinterest and specific study-related concerns were touted as reasons for non-participation in a PED-based tobacco cessation trial. Given the potential reductions in tobacco-related morbidity to both parents and children that tobacco control interventions can facilitate, future tobacco interventions should consider alterations in study design and recruitment strategies to encourage all eligible parental smokers to participate.
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BACKGROUND: Little is known about health-focused cannabis use purposes and their associations with risk for problematic cannabis use. This cross-sectional study examined three broad cannabis use purposes and association with risk for problematic use among young adult cannabis users who report using for > 1 health reasons. METHODS: Young adults completed an electronic survey as part of an ongoing study on substance use and health. Those who self-reported past 6-month use of ≥ 1 cannabis products-smoking, vaping, dabbing, eating, and blunts-were included in the analysis. Their purposes for use were coded into three categories: sleep, mental, and physical health. Problematic cannabis use (PCU) was measured with the three-level structure Cannabis Abuse Screening Test (CAST-3). Adjusted multivariable regression models were used to estimate use purposes associated with with problematic cannabis use at the p < 0.05 level. RESULTS: Participants (n = 954) were mostly female (63.94%) and Hispanic (54.93%). Mental health was the most endorsed reason (73.38%) for use among study sample. Among participants, 36.3% were classified as being at severe risk (CAST-3 score ≥ 8). There was a significant association between PCU risk and reporting cannabis use for physical health (p < 0.01), mental health, and sleep health (p < 0.01) purposes. Those who used cannabis for physical heath purposes had about four times the risk (adjusted relative risk ratio (aRRR) = 4.38, 95% CI = 3.06-6.69), those who used for mental health had about three times the risk (aRRR = 2.81, 95% CI = 1.86-4.72), and those who used for sleep health had almost two times the risk (aRRR = 1.83, 95% CI = 1.17-2.63) for severe PCU. CONCLUSION: All cannabis use purposes examined increased risk of problematic cannabis use. Physical health use purposes was associated with highest PCU risk. This study demonstrates the risk for cannabis use disorder associated with self-medicating with cannabis.
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Cannabis , Fumar Marihuana , Adulto Joven , Femenino , Humanos , Masculino , Cannabis/efectos adversos , Autoinforme , Estudios Transversales , Salud Mental , Fumar Marihuana/efectos adversos , Fumar Marihuana/epidemiologíaRESUMEN
Introduction: An estimated 15% of community-dwelling older adults have depressive symptoms in the U.S. The Program to Encourage Active, Rewarding Lives (PEARLS) is an evidence-based program for managing late-life depression. PEARLS is a home/community-based collaborative care model delivered by community-based organizations to improve access to quality depression care. Trained staff actively screen for depression to improve recognition, teach problem-solving and activity planning skills for self-management, and connect participants to other supports and services as needed. Methods: This study examined 2015-2021 data from 1,155 PEARLS participants across four states to assess PEARLS effectiveness to reduce depressive symptoms. The clinical outcomes were measured by the self-reported PHQ-9 instrument to assess changes in depressive symptoms scored as depression-related severity, clinical remission, and clinical response. A generalized estimating equation (GEE) model was fitted to examine changes in composite PHQ-9 scores from baseline to the final session. The model adjusted for participants' age, gender, race/ethnicity, education level, income level, marital status, number of chronic conditions, and number of PEARLS sessions attended. Cox proportional hazards regression models were conducted to estimate the hazard ratio for improvement of depressive symptoms (i.e., remission or response), while adjusting for the covariates. Results: PHQ-9 scale scores significantly improved from baseline to their final sessions (mean difference = -5.67, SEM = 0.16, p < 0.001). About 35% of participants achieved remission with PHQ-9 score < 5. Compared to participants with mild depression, patients with moderate depression (HR = 0.43, 95%CI = 0.35-0.55), moderately severe depression (HR = 0.28, 95%CI = 0.21-0.38), and severe depression (HR = 0.22 95%CI = 0.14-0.34) were less likely to experience clinical remission with PHQ-9 score < 5, while adjusting for the covariates. About 73% achieved remission based on no longer having one or both cardinal symptoms. Compared to participants with mild depression, patients with moderate depression (HR = 0.66, 95%CI = 0.56-0.78), moderately severe depression (HR = 0.46, 95%CI = 0.38-0.56), and severe depression (HR = 0.38, 95%CI = 0.29-0.51) were less likely to experience clinical remission, while adjusting for the covariates. Nearly 49% of participants had a clinical response or a ≥ 50% decrease in PHQ-9 scores over time. There were no differences between the severity of depression groups based on the time to clinical response. Discussion: Findings confirm that PEARLS is an effective program to improve depressive symptoms among older adults in diverse real-world community settings and can be a more accessible option for depressive older adults who are traditionally underserved by clinical care.
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Trastorno Depresivo , Servicios de Atención de Salud a Domicilio , Humanos , Anciano , Depresión/terapia , Depresión/diagnósticoRESUMEN
OBJECTIVES: Caregiver strain often stems from unmet needs and is a risk factor for poor physical and psychological health. This study aims to identify factors associated with caregiver strain among middle-aged and older non-Hispanic Black and Hispanic male caregivers living with one or more chronic conditions. DESIGN: Data were analyzed from 418 male caregivers collected through Qualtrics Online Panels using an internet-delivered survey instrument (55.7% non-Hispanic Black, 44.3% Hispanic). Three ordinal regression models were fitted to assess factors associated with Caregiver Strain Scale tertiles: one for all men, one for non-Hispanic Black men only; and one for Hispanic men only. RESULTS: Similarities and differences were observed between the two groups in terms of factors associated with higher caregiver strain (i.e. lower disease self-management efficacy scores, providing ≥20â h of care per week). Uniquely for Non-Hispanic Black male caregivers, higher caregiver strain was associated with living with more children under the age of 18 (ß = 0.35, P = 0.011) and feeling more socially disconnected (ß = 0.41, P = 0.008). Uniquely for Hispanic male caregivers, higher caregiver strain levels were associated with experiencing lower pain levels (ß = -0.14, P = 0.040) and higher fatigue levels (ß = 0.23, P < 0.001). CONCLUSION: Findings from this study suggest that non-Hispanic Black and Hispanic men with chronic conditions have differing caregiving experiences. While bolstering social connectedness and caregiver support services may offset caregiver strain, tailored mental health and disease management programming are needed to meet the specific needs of non-Hispanic Black and Hispanic male caregivers.
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Población Negra , Cuidadores , Enfermedad Crónica , Hispánicos o Latinos , Hombres , Estrés Psicológico , Anciano , Niño , Humanos , Masculino , Persona de Mediana Edad , Población Negra/psicología , Cuidadores/psicología , Enfermedad Crónica/etnología , Enfermedad Crónica/psicología , Autoinforme , Estrés Psicológico/etnología , Estrés Psicológico/psicología , Hispánicos o Latinos/psicología , Hombres/psicologíaRESUMEN
Starting in the 1970s, individuals, businesses and the public have increasingly benefited from policies prohibiting smoking indoors, saving thousands of lives and billions of dollars in healthcare expenditures. Smokefree policies to protect against secondhand smoke exposure, however, do not fully protect the public from the persistent and toxic chemical residues from tobacco smoke (also known as thirdhand smoke) that linger in indoor environments for years after smoking stops. Nor do these policies address the economic costs that individuals, businesses and the public bear in their attempts to remediate this toxic residue. We discuss policy-relevant differences between secondhand smoke and thirdhand smoke exposure: persistent pollutant reservoirs, pollutant transport, routes of exposure, the time gap between initial cause and effect, and remediation and disposal. We examine four policy considerations to better protect the public from involuntary exposure to tobacco smoke pollutants from all sources. We call for (a) redefining smokefree as free of tobacco smoke pollutants from secondhand and thirdhand smoke; (b) eliminating exemptions to comprehensive smoking bans; (c) identifying indoor environments with significant thirdhand smoke reservoirs; and (d) remediating thirdhand smoke. We use the case of California as an example of how secondhand smoke-protective laws may be strengthened to encompass thirdhand smoke protections. The health risks and economic costs of thirdhand smoke require that smokefree policies, environmental protections, real estate and rental disclosure policies, tenant protections, and consumer protection laws be strengthened to ensure that the public is fully protected from and informed about the risks of thirdhand smoke exposure.
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(1) Background: Trans-3'-hydroxy cotinine (3HC) and cotinine (COT) are tobacco smoke exposure (TSE) biomarkers and the 3HC/COT ratio is a marker of CYP2A6 activity, an enzyme which metabolizes nicotine. The primary objective was to assess the associations of these TSE biomarkers with sociodemographics and TSE patterns in children who lived with ≥1 smoker. (2) Methods: A convenience sample of 288 children (mean age (SD) = 6.42 (4.8) years) was recruited. Multiple linear regression models were built to assess associations of sociodemographics and TSE patterns with urinary biomarker response variables: (1) 3HC, (2) COT, (3) 3HC+COT sum, and (4) 3HC/COT ratio. (3) Results: All children had detectable 3HC (Geometric Mean [GeoM] = 32.03 ng/mL, 95%CI = 26.97, 38.04) and COT (GeoM = 10.24 ng/mL, 95%CI = 8.82, 11.89). Children with higher cumulative TSE had higher 3HC and COT (ß^ = 0.03, 95%CI = 0.01, 0.06, p = 0.015 and ß^ = 0.03, 95%CI = 0.01, 0.05, p = 0.013, respectively). Highest 3HC+COT sum levels were in children who were Black (ß^ = 0.60, 95%CI = 0.04, 1.17, p = 0.039) and who had higher cumulative TSE (ß^ = 0.03, 95%CI = 0.01, 0.06, p = 0.015). Lowest 3HC/COT ratios were in children who were Black (ß^ = -0.42, 95%CI = -0.78, -0.07, p = 0.021) and female (ß^ = -0.32, 95%CI = -0.62, -0.01, p = 0.044). (4) Conclusion: Results indicate that there are racial and age-related differences in TSE, most likely due to slower nicotine metabolism in non-Hispanic Black children and in younger children.
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Cotinina , Contaminación por Humo de Tabaco , Humanos , Niño , Femenino , Cotinina/metabolismo , Nicotina/análisis , Contaminación por Humo de Tabaco/análisis , Oxigenasas de Función Mixta/metabolismo , Biomarcadores/metabolismoRESUMEN
INTRODUCTION: Tobacco use disparities persist among U.S. adults who are male, racially/ethnically diverse, and have chronic conditions. This study assessed current tobacco use patterns associated with past year healthcare utilization among non-Hispanic Black and Hispanic men ≥40 years old with ≥1 chronic condition. METHODS: Data were collected from a sample of 1,904 non-Hispanic Black and Hispanic men from across the U.S. using an internet-delivered survey. Participants were categorized into four tobacco use groups: nontobacco users, exclusive cigarette smokers, dualtobacco users (cigarettes + one other tobacco product), and polytobacco users (cigarettes + ≥2 other tobacco products). Logistic regression analyses were conducted to assess current tobacco use patterns with past year primary care visits, emergency department (ED) visits, and overnight hospital stays. Adjusted models included participants' age, race/ethnicity, education level, marital status, health insurance coverage, body mass index, and number of chronic conditions. RESULTS: Relative to nontobacco users, exclusive cigarette smokers were at decreased odds of having a past year primary care visit (adjusted odds ratio [AOR] = 0.68, 95% confidence interval [CI] = 0.47-0.99). Exclusive cigarette smokers (AOR = 1.66, 95%CI = 1.25-2.19), dualtobacco users (AOR = 1.75, 95%CI = 1.23-2.50), and polytobacco users (AOR = 4.10, 95%CI = 2.46-6.84) were at increased odds of having a past year ED visit compared to nontobacco users. Additionally, polytobacco users were at increased odds of having a past year overnight hospital stay (AOR = 2.72, 95%CI = 1.73-4.29) compared to nontobacco users. CONCLUSIONS: Findings suggest current tobacco use patterns are uniquely associated with past year healthcare utilization among non-Hispanic Black and Hispanic men, while taking into consideration important factors including complex disease profiles.
Asunto(s)
Sistemas Electrónicos de Liberación de Nicotina , Productos de Tabaco , Tabaquismo , Adulto , Humanos , Masculino , Estados Unidos/epidemiología , Femenino , Uso de Tabaco/epidemiología , Fumadores , Aceptación de la Atención de SaludRESUMEN
BACKGROUND: This study investigated the association between household tobacco smoking status and temperament among U.S. 3-5-year-olds. METHODS: A secondary analysis of 2019-2020 National Survey of Children's Health data (N = 11,100) was conducted. Temperament dimensions of effortful control (characterized by attention focusing), negative affectivity (characterized by anger and soothability), and surgency (characterized by activity level and shyness) were assessed. Weighted ordinal regression models were conducted while adjusting for child and family covariates. RESULTS: Approximately 13 % of children lived with smokers. Compared to children who did not live with smokers, children living with smokers displayed behaviors of poorer effortful control and were more likely to be easily distracted (AOR = 1.59, 95%CI = 1.24-2.04) and less likely to keep working on tasks until finished (AOR = 0.56, 95%CI = 0.44-0.71). Children living with smokers displayed behaviors of greater negative affectivity and were at increased odds of being angry or anxious when transitioning between activities (AOR = 1.50, 95%CI = 1.13-1.98) and losing their temper when things did not go their way (AOR = 1.53, 95%CI = 1.20-1.96), and were at decreased odds of calming down quickly when excited (AOR = 0.54, 95%CI = 0.42-0.70). Children living with smokers displayed behaviors of poorer surgency and were less likely to play well with others (AOR = 0.58, 95%CI = 0.45-0.76) and sit still compared to same-aged children (AOR = 0.56, 95%CI = 0.44-0.71). LIMITATIONS: The NSCH uses a cross-sectional survey design; longitudinal associations and objective measures could not be assessed. However, the NSCH is nationally representative and results are generalizable to U.S. 3-5-year-olds. CONCLUSIONS: Findings suggest household tobacco smoking influences temperament in early childhood. Results signify the need to promote household tobacco cessation.