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ObjectivesTo examine the demographic and health-related factors associated with risk behaviors that have been linked to cancer including smoking, high BMI, and low physical activity.Design and sampleA secondary analysis was conducted using data from Rural Families Speak about Health, a multistate, epidemiologic study of rural American women and their families (N = 444).MeasuresValidated measures for various demographic and health-related items including tobacco use, BMI, physical activity, and depression were used.ResultsOf the total sample with complete data (n = 399), the mean age was 32 years and the majority were White (64%), married (67%), had a high school education or higher (73%), and had an annual household income of less than $40,000 (90%). Regarding cancer risk behaviors, 36% of the sample were smokers, 39% reported low levels of physical activity, and 45% had a calculated BMI over 30. Thirty-five percent of participants reported engaging in two or more risk behaviors. There were significant differences in income, perceived health status, and depression depending on the number of risk behaviors reported.ConclusionsUnderstanding combinations of risk behaviors can assist nurses and other health professionals in tailoring multiple health behavior change interventions to prevent cancer among rural women.

The purpose of this study was to determine the relationship between occupational exposures and cigarette smoking among operating engineers. A cross-sectional survey was conducted with operating engineers (N = 412) from a midwestern state in the United States. The survey included validated questions on cigarette smoking, occupational exposures, demographics, comorbidities, and health behaviors. About 35% were current smokers. Those exposed to asphalt fumes, heat stress, concrete dust, and welding fumes were less likely to smoke (odds ratio [OR] = .79, 95% confidence interval [CI]: .64-.98). Other factors associated with smoking included younger age (OR = .97, 95% CI: .94-.99), problem drinking (OR = 1.07, 95% CI: 1.03-1.12), lower Body Mass Index (OR = .95, 95% CI: .90-.99), and being separated/widowed/divorced (OR = 2.24, 95% CI: 1.19-4.20). Further investigation is needed for better understanding about job-specific exposure patterns and their impact on cigarette smoking among operating engineers.

The adverse effects of multiple health risk factors have been well-documented; however, still understudied are the effects of early smoking in the context of multiple health risk factors. This study aimed to examine the role of early smoking initiation in relation to several health risk factors, including heavy drinking, physical inactivity, and obesity in later life among ever smokers in the USA. The National Health Interview Survey (NHIS) data from 2006 through 2018 were analyzed. The primary dependent variables were presence of three other risk factors: heavy drinking, physical inactivity, and obesity. The independent variable was the age of smoking initiation. Logit regression models were constructed to evaluate the association between smoking initiation and multiple health risk factors. All analyses were done in 2022. Among US adult smokers, 18.2% started smoking before age 15 (early initiators), 55.9% at ages 15–18 (middle initiators), and 25.9% at age 20 or later (late initiators). Compared to late smoking initiators, the odds of engaging in additional health risk factors increased by 37.3% among early initiators (OR = 1.373, 95% CI = 1.316, 1.432) and 7.7% among middle initiators (OR = 1.077, 95% CI= 1.041, 1.116). Additionally, current smoking was associated with higher odds (OR = 1.369, 95% CI = 1.322, 1.417) of having additional health risk factors compared to former smoking, with one exception: current smokers had lower odds of obesity (OR = 0.566, 95% CI = 0.537, 0.597). Tobacco control programs to prevent adolescents from initiating smoking may have the potential to prevent other health risk factors in adulthood. [ABSTRACT FROM AUTHOR]

Objectives: To examine smoking behavior and social contexts related to smoking among dual‐smoker couples. Design: Cross‐sectional online survey study. Sample: A convenience sample of 183 dual‐smoker couples. Measurements: Investigator‐developed survey on smoking and related social contexts. Results: Participants smoked 16.0 cigarettes daily for 14.2 years; 48.4% shared more than half of their smoking time with their spouse. More than half made quit attempts in the past year individually (M = 5.3) and jointly (M = 2.5). Couples sharing more smoking time were more likely to be motivated to quit (p =.002), make quit attempts (p <.0001), and be interested in cessation interventions (p =.002); but less likely to implement home smoking bans (p <.001). Among those who reported quit attempts, 41% quit by themselves and 15.3% sought professional assistance. Most common reasons for relapse were chronic stress and crisis, 63.6%, however, were interested in smoking cessation services, preferably technology‐based interventions. Conclusions: We found smoking interdependence within dual‐smoker couples. Despite high levels of motivation to quit, most did not utilize professional help, leading to low successful quit rates. Technology‐based smoking cessation interventions incorporating spousal support and addressing stress/crisis may best assist dual‐smoker couples. [ABSTRACT FROM AUTHOR]

Trichostatin A (TSA) is a representative histone deacetylase (HDAC) inhibitor that modulates epigenetic gene expression by regulation of chromatin remodeling in cells. To investigate whether the regulation of chromatin de-condensation by TSA can affect the increase in the efficiency of Cas9 protein-gRNA ribonucleoprotein (RNP) indel formation from plant cells, genome editing efficiency using lettuce and tobacco protoplasts was examined after several concentrations of TSA treatments (0, 0.1, 1 and 10 μM). RNP delivery from protoplasts was conducted by conventional polyethylene glycol (PEG) transfection protocols. Interestingly, the indel frequency of the SOC1 gene from TSA treatments was about 3.3 to 3.8 times higher than DMSO treatment in lettuce protoplasts. The TSA-mediated increase of indel frequency of the SOC1 gene in lettuce protoplasts occurred in a concentration-dependent manner, although there was not much difference. Similar to lettuce, TSA also increased the indel frequency by 1.5 to 1.8 times in a concentration-dependent manner during PDS genome editing using tobacco protoplasts. The MNase test clearly showed that chromatin accessibility with TSA treatments was higher than that of DMSO treatment. Additionally, TSA treatment significantly increased the level of histone H3 and H4 acetylation from lettuce protoplasts. The qRT-PCR analysis showed that expression of cell division-related genes (LsCYCD1-1, LsCYCD3-2, LsCYCD6-1, and LsCYCU4-1) was increased by TSA treatment. These findings could contribute to increasing the efficiency of CRISPR/Cas9-mediated genome editing. Furthermore, this could be applied for the development of useful genome-edited crops using the CRISPR/Cas9 system with plant protoplasts. [ABSTRACT FROM AUTHOR]