Sociodemographic Disadvantage, Living With a Smoker, and Health Risk Behaviors in Middle-Aged and Older Women

Abstract Sociodemographic disadvantage places individuals at risk for an unhealthy lifestyle (Kushi et al., 2012; Shanker et al., 2010), as well as for exposure to second-hand household smoke (Gan et al., 2015; Zhang et al., 2012). However, the role of living with a smoker in the association between sociodemographic status and health behavior is unstudied. This study investigated the role of living with a smoker in partially explaining the link between sociodemographic disadvantage and physical inactivity and poor dietary behaviors. The study used limited access data from the Women’s Health Initiative Observational Study obtained from NHLBI. Participants were 83,597 women ranging in age from 49 to 81; 6038 participants lived with a smoker. Cross-sectional logistic regression analyses examined paths in the models; bias-corrected bootstrapped confidence intervals tested indirect effects in probit analyses. Analyses controlled for age, ethnicity, marital status, and participants’ current smoking status. Results demonstrated a significant association (p < .001) between sociodemographic disadvantage (composite of low education and low income) and living with a smoker (OR = 1.74). The unstandardized indirect effects (CIs are in brackets) from sociodemographic disadvantage through living with a smoker to no exercise, no walking, high percent dietary fat, and low servings of fruits and vegetables through living with a smoker were statistically significant (.023 [.019, .028], .026 [.023, .033], .041 [.037, .047], and .032 [.027, .036], respectively). These findings illustrate the need to address multiple non-smoking health risk behaviors in household smoking interventions for disadvantaged families. This project was supported by the NIH/NCI (R03CA215947).

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SOCIODEMOGRAPHIC DISADVANTAGE, LIVING WITH A SMOKER, AND OBESITY IN MIDDLE-AGED AND OLDER WOMEN

Innovation in Aging ◽

10.1093/geroni/igz038.2553 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S693-S693

Author(s):

Carole K Holahan ◽

Charles J Holahan ◽

Sangdon Lim ◽

Yen T Chen ◽

Daniel A Powers

Keyword(s):

Low Income ◽

Indirect Effects ◽

Smoking Status ◽

Cross Sectional ◽

Current Smoking Status ◽

Current Smoking ◽

Household Level ◽

Proposed Model ◽

Low Education

Abstract Although sociodemographic disadvantage is a recognized risk factor for obesity, the potential role of living with a smoker in this relationship has been unexamined. This study investigated: (a) the association between sociodemographic disadvantage and living with a smoker, and (b) the role of living with a smoker in partially explaining the link between sociodemographic disadvantage and obesity. The study used limited access data from the Women’s Health Initiative Observational Study obtained from NHLBI. Participants were 91,888 women ranging in age from 50 to 79; 6,527 participants reported living with a smoker. Analyses were cross-sectional. Logistic regression analyses examined paths in the proposed model; bias-corrected bootstrapped confidence intervals tested indirect effects. All analyses controlled for age, marital status, and participants’ current smoking status. Results demonstrated a significant association (p < .001) between sociodemographic disadvantage and living with a smoker across three measures of disadvantage (for low education, low income, and Black ethnicity, ORs were 1.95, 2.10, and 2.63, respectively), as well as between living with and smoker and obesity (OR = 1.71). Moreover, the unstandardized indirect effect (CIs are in brackets) from sociodemographic disadvantage to obesity through living with a smoker was statistically significant for all three measures of disadvantage (for low education, low income, and Black ethnicity, indirect effects = .05 [.04, .06], .06 [.05, .06], and .07 [.06, .08], respectively). These findings underscore the need for innovative household-level interventions for disadvantaged families living with a smoker integrating smoking- and obesity-prevention efforts. This project was supported by the NIH/NCI (R03CA215947).

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ASSOCIATION BETWEEN PHYSICAL ACTIVITY PRACTICE AND CLUSTERING OF HEALTH RISK BEHAVIORS IN ADOLESCENTS

Revista Paulista de Pediatria ◽

10.1590/1984-0462/2020/38/2018247 ◽

2020 ◽

Vol 38 ◽

Author(s):

Michael Pereira da Silva ◽

Ana Beatriz Pacífico ◽

Thiago Silva Piola ◽

Edmar Roberto Fantinelli ◽

Edina Maria de Camargo ◽

...

Keyword(s):

Physical Activity ◽

Public Schools ◽

Health Risk ◽

Risk Behaviors ◽

Multinomial Logistic Regression ◽

Health Risk Behaviors ◽

Alcoholic Beverages ◽

Cross Sectional ◽

Lower Odds ◽

High Participation

ABSTRACT Objective: To verify the association between participation in physical activity (PA) and the clustering of health risk behaviors (HRB) in adolescents of both genders. Methods: A cross-sectional study involving 862 adolescents (11 to 17 years old) enrolled in 14 randomly selected public schools from Curitiba, Paraná, Brazil. Participation in PA, screen time, consumption of fruit, vegetables, cigarettes and alcoholic beverages were the criteria evaluated. Multinomial logistic regression tested the association between participation in PA and clustering of HRB, and results are expressed Odds Ratio (OR) with 95% confidence intervals (95%CI). Results: Adolescents with high participation in PA had lower odds of clustering 2-3 HRB (OR 0.38, 95%CI 0.21-0.68; p<0.01) and 4-5 HRB (OR 0.29; 95%IC 0.16-0.53; p<0.01). Boys with high participation in PA had lower chances of clustering 2-3 HRB (OR 0.31, 95%CI 0.13-0.75; p=0.01), and girls had lower odds of clustering 2-3 HRB (OR 0.41; 95%CI 0.17-0.99; p=0.04) and 4-5 HRB (OR 0.25; 95%CI 0.10-0.61; p<0.01). Conclusions: High participation in PA was inversely associated with the clustering of HRB in adolescents.

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Life Style Practices And Health Risk Behaviors Of Medical Students: A Cross Sectional Study

Journal of Bahria University Medical and Dental College ◽

10.51985/jbumdc2018072 ◽

2018 ◽

Vol 08 (04) ◽

pp. 231-235

Author(s):

Shireen Jawed ◽

Sundus Tariq ◽

Zehra Jamil ◽

Rabiya Ali ◽

Rehana Rehman

Keyword(s):

Medical Students ◽

Health Risk ◽

Risk Behaviors ◽

Life Style ◽

Health Risk Behaviors ◽

Cross Sectional Study ◽

P Value ◽

Positive Health ◽

Cross Sectional ◽

Handling Practices

Objective: A health risk behavior like physical inactivity, unhealthy diet, tobacco use, drug abuse, unprotected sexual practices or harmful use of alcohol is linked with serious ailments like liver cirrhosis, hypertension, abnormal lipid profile and number of cardiovascular diseases. Our study is aimed to explore perception of students about health risk behaviors; eating routines, life style and stress handling practices and compare amongst medical students of first and second year. Subjects and Methods: In this cross-sectional study, 233 female students between 1 8–25 years of age, from first two years of medical college were administered a self-structured questionnaire Response of each item was rated on five-point Likert scale. Maximum points in the scale were five and the minimum was one for each item. Mean score was obtained by adding points of all responses. Degree of health awareness was categorized into low, medium and high on the basis of mean cumulative scores. Independent sample t test was used to compare means between study groups based on academic level (Year I and II medical students) Results: The overall results of the study revealed positive health behaviors among medical students. Year I MBBS had superior acquaintance on healthy eating routines (p-value = 0.001), lifestyle patterns (p-value = 0.002), and stress handling practices (p-value < 0.001) as compared to senior class. Tendency to have anxiety attacks was more in 1st year students (p-value=0.002) while capability to withstand stress was better in senior class (p-value=0.004). Conclusion: Majority of medical students practiced positive health behaviors. These attitudes in terms of selection of life style choices; healthy food and physical activity with avoidance of health risk behaviors and supportive practices was better in Year I students.

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