10 research outputs found

    Gender and Ethnic Differences in Perceived Stress as a Predictor of Smoking Behaviors in Rural Adolescents

    Get PDF
    Cross-sectional and longitudinal analyses were conducted to examine the impact of perceived stress on current and future smoking behaviors of rural Virginia middle school students. Data were analyzed for 685 sixth grade students and 554 seventh grade students. Sixth grade students were 52% male, 53% Caucasian American (CA), and 47% African American (AA). For 7th graders, the sample was 53% female and 56% CA (44% AA). Of the 685 sixth grade students, 7% reported that they had smoked cigarettes at least once during the past 30 days (n=46,63% male and 67% CA). By the 7th grade, the percentage of smokers had increased to 13% (n=74, 56% female; 65% CA), A mean perceived stress score for 6th graders was 4.7 (SD=3.1, range=0-12). By the 7th grade, students reported a mean perceived stress level of 5.3 (SD=3.2, range 0-12).A logistical regression revealed that 6th grade stress was predictive of 6th grade current smoking (odds ratio=1.2, CI=1.04-1.3), and ever smoking statuses (OR=l.1, CI=1.1-1.2). Results also revealed that 7th grade stress was predictive of 7th grade current smoking status (OR=1.1, CI=1.02-1.2). Prospective results revealed that 6th grade stress was predictive of 7th grade current smoking (OR = 1.2, CI=1.1-1.3). Results also revealed that gender was predictive of both 6th (OR=2.0, CI=1.1-3.7) and 7th (OR=1.5, CI=1.1-2.5) current smoking, such that boys were more likely to smoke than girls for each grade. Also more 6th grade Caucasian Americans reported a current smoking status than did 6th grade African Americans (OR=2.0, CI = 1.03-3.7). Surprisingly, more African-American 7th graders reported an ever smoking status than did 7th grade Caucasian Americans (OR=.55, .37-.82). These data appear promising in that smoking rates range from 7 to 13%. Nevertheless, smoking rates tend to increase with age; thus, adolescents are in need of interventions that prevent smoking initiation and increase cessation. Adolescents may benefit from the addition of stress management components in interventions aimed at teaching more positive ways of coping with perceived stress

    Neighborhood and weight-related health behaviors in the Look AHEAD (Action for Health in Diabetes) Study

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Previous studies have shown that neighborhood factors are associated with obesity, but few studies have evaluated the association with weight control behaviors. This study aims to conduct a multi-level analysis to examine the relationship between neighborhood SES and weight-related health behaviors.</p> <p>Methods</p> <p>In this ancillary study to Look AHEAD (Action for Health in Diabetes) a trial of long-term weight loss among individuals with type 2 diabetes, individual-level data on 1219 participants from 4 clinic sites at baseline were linked to neighborhood-level data at the tract level from the 2000 US Census and other databases. Neighborhood variables included SES (% living below the federal poverty level) and the availability of food stores, convenience stores, and restaurants. Dependent variables included BMI, eating patterns, weight control behaviors and resource use related to food and physical activity. Multi-level models were used to account for individual-level SES and potential confounders.</p> <p>Results</p> <p>The availability of restaurants was related to several eating and weight control behaviors. Compared to their counterparts in neighborhoods with fewer restaurants, participants in neighborhoods with more restaurants were more likely to eat breakfast (prevalence Ratio [PR] 1.29 95% CI: 1.01-1.62) and lunch (PR = 1.19, 1.04-1.36) at non-fast food restaurants. They were less likely to be attempting weight loss (OR = 0.93, 0.89-0.97) but more likely to engage in weight control behaviors for food and physical activity, respectively, than those who lived in neighborhoods with fewer restaurants. In contrast, neighborhood SES had little association with weight control behaviors.</p> <p>Conclusion</p> <p>In this selected group of weight loss trial participants, restaurant availability was associated with some weight control practices, but neighborhood SES was not. Future studies should give attention to other populations and to evaluating various aspects of the physical and social environment with weight control practices.</p

    Neighborhood Socioeconomic Status, Depression, and Health Status in the Look AHEAD (Action for Health in Diabetes) Study

    No full text
    Abstract Background Depression and diminished health status are common in adults with diabetes, but few studies have investigated associations with socio-economic environment. The objective of this manuscript was to evaluate the relationship between neighborhood-level SES and health status and depression. Methods Individual-level data on 1010 participants at baseline in Look AHEAD (Action for Health in Diabetes), a trial of long-term weight loss among adults with type 2 diabetes, were linked to neighborhood-level SES (% living below poverty) from the 2000 US Census (tracts). Dependent variables included depression (Beck Inventory), and health status (Medical Outcomes Study (SF-36) scale). Multi-level regression models were used to account simultaneously for individual-level age, sex, race, education, personal yearly income and neighborhood-level SES. Results Overall, the % living in poverty in the participants' neighborhoods varied, mean = 11% (range 0-67%). Compared to their counterparts in the lowest tertile of neighborhood poverty (least poverty), those in the highest tertile (most poverty) had significantly lower scores on the role-limitations(physical), role limitations(emotional), physical functioning, social functioning, mental health, and vitality sub-scales of the SF-36 scale. When evaluating SF-36 composite scores, those living in neighborhoods with more poverty had significantly lower scores on the physical health (β-coefficient [β] = -1.90 units, 95% CI: -3.40,-0.039), mental health (β = -2.92 units, -4.31,-1.53) and global health (β = -2.77 units, -4.21,-1.33) composite scores. Conclusion In this selected group of weight loss trial participants, lower neighborhood SES was significantly associated with poorer health status. Whether these associations might influence response to the Look AHEAD weight loss intervention requires further investigation.</p

    All-Organic, Stimuli-Responsive Polymer Composites with Electrospun Fiber Fillers

    No full text
    Stimuli-responsive materials are desired for a wide range of applications. Here, we report the design and fabrication of all-organic, stimuli-responsive polymer composites using electrospun nanofibers as the filler. The incorporation of 4 wt % of filler into the polymer matrix increased the tensile storage modulus by 2 orders of magnitude. Upon exposure to water, the filler fibers plasticize and no longer provide mechanical reinforcement. The tensile storage modulus subsequently diminishes 2 orders of magnitude to the value of the neat matrix polymer
    corecore