How does perceived risk mediate associations between perceived safety and parental restriction of adolescents' physical activity in their neighborhood?

Background
There is evidence that adolescence is a critical period of decline in physical activity. However, adolescents may have limited opportunities to be physically active outdoors if their parents are concerned about neighborhood safety and restrict their adolescent’s physical activity within their neighborhood. Pathways that lead to parental restriction of adolescents’ physical activity (constrained behavior) are under-researched. This study aimed to examine perceived risk as a potential mediator of associations between perceived safety/victimization and constrained behavior.
Methods
Cross-sectional study of adolescents (43% boys) aged 15–17 years (n = 270) in Melbourne, Australia. Parents reported perceived safety (road safety, incivilities and personal safety) and prior victimization in their neighborhood, perceived risk of their children being harmed and whether they constrained their adolescent’s physical activity. Constrained behavior was categorized as ‘avoidance’ or ‘defensive’ behavior depending on a whether physical activity was avoided or modified, respectively, due to perceived risk. MacKinnon’s product-of-coefficients test of mediation was used to assess potential mediating pathways between perceived safety/victimization and constrained behavior.
Results
For girls only, perceived risk was a significant mediator of associations between perceived road safety and avoidance/defensive behavior, and between perceived incivilities, perceived personal safety, victimization and defensive behavior.
Conclusions
Associations between perceived safety/victimization and constrained behavior are complex. Findings may guide the design of interventions that aim to improve actual and perceived levels of safety and reduce perceptions of risk. This is of particular importance for adolescent girls among whom low and declining levels of physical activity have been observed worldwide.

Parental influences on adolescent fruit consumption : the role of adolescent self-efficacy

The aims of this study were to examine whether adolescent self-efficacy mediates the associations between parental control, perceptions of the importance of healthy nutrition for child health and barriers to buying fruits and vegetables and adolescent fruit consumption using a theoretically derived explanatory model. Data were drawn from a community-based sample of 1606 adolescents in Years 7 and 9 of secondary school and their parents, from Victoria, Australia. Adolescents completed a web-based survey assessing their fruit consumption and self-efficacy for increasing fruit consumption. Parents completed a survey delivered via mail assessing parental control, perceptions and barriers to buying fruit and vegetables. Adolescent self-efficacy for increasing fruit consumption mediated the positive associations between parental control and perceptions of the importance of healthy nutrition for child health and adolescent fruit consumption. Furthermore, adolescent self-efficacy mediated the negative association between parental barriers to buying fruits and vegetables and adolescent fruit consumption. The importance of explicating the mechanisms through which parental factors influence adolescent fruit consumption not only relates to the advancement of scientific knowledge but also offers potential avenues for intervention. Future research should assess the effectiveness of methods to increase adolescent fruit consumption by focussing on both improving adolescents’ dietary self-efficacy and on targeting parental control, perceptions and barriers.

Parental influences on the diets of 2-5 year-old children : systematic review of interventions

During the early years, parents have a major influence on their children's diets, food choices and development of eating habits. However, research concerning the influence of parental feeding practices on young children's diets is limited. This paper presents a systematic review of intervention studies with parents of preschool children. The aim was to investigate the effectiveness of interventions that target parent nutrition knowledge and/or parenting practices with parents of young children aged two to five years in the development of healthy dietary habits. Seventeen studies were identified. Findings highlight the limited number of good quality studies in this age group. Limitations include design inconsistency and a lack of longitudinal data to evaluate sustainability. Research on parental understanding of healthy diets and specific parenting styles and feeding practices is lacking. Further insights into how parents can positively influence children's diets will come from quality longitudinal research examining both parent feeding practices and nutrition knowledge in this age group.

Associations between smoking status, lifestyle and lipoprotein subclasses

Background: Although the relationship between cigarette smoking and cardiovascular disease (CVD) is well-established, the underlying mechanisms remain unclear. Smokers have a more atherogenic lipid profile but this may be mediated by lifestyle-related factors. Because detailed analysis of lipoprotein subclasses using nuclear magnetic resonance spectroscopy (NMR) may improve characterisation of lipid abnormalities, we applied the technique to investigate the relationships between smoking status, other lifestyle-related risk factors and lipoproteins in a contemporary cohort.

Methods: A total of 612 participants (360 women) aged 40-69 years at baseline (1990-1994) enrolled in the community-based Melbourne Collaborative Cohort Study had plasma lipoproteins measured using NMR. Data were analysed separately for men and women.

Results: After adjusting for other lifestyle-related risk factors, mean total low-density lipoprotein (LDL) particle concentration was higher for female smokers than non-smokers. Both medium and small LDL particle concentrations contributed to this difference. Both total high-density lipoprotein (HDL) and large HDL particle concentrations were lower for female smokers than non-smokers. The proportion at increased risk (according to NMR-determined particle size and number) was higher for female smokers than non-smokers. For men, there were few differences in lipoprotein measures related to smoking.

Conclusions: Female smokers have a more atherogenic lipoprotein profile than non-smokers, and this difference is independent of lifestyle-related risk factors. Lipoprotein profiles did not differ greatly between male smokers and non-smokers. These data reinforce the importance for women of not smoking.

Age at quitting smoking as a predictor of risk of cardiovascular disease incidence independent of smoking status, time since quitting and pack-years

Background: Risk prediction for CVD events has been shown to vary according to current smoking status, pack-years smoked over a lifetime, time since quitting and age at quitting. The latter two are closely and inversely related. It is not known whether the age at which one quits smoking is an additional important predictor of CVD events. The aim of this study was to determine whether the risk of CVD events varied according to age at quitting after taking into account current smoking status, lifetime pack-years smoked and time since quitting.
Findings. We used the Cox proportional hazards model to evaluate the risk of developing a first CVD event for a cohort of participants in the Framingham Offspring Heart Study who attended the fourth examination between ages 30 and 74 years and were free of CVD. Those who quit before the median age of 37 years had a risk of CVD incidence similar to those who were never smokers. The incorporation of age at quitting in the smoking variable resulted in better prediction than the model which had a simple current smoker/non-smoker measure and the one that incorporated both time since quitting and pack-years. These models demonstrated good discrimination, calibration and global fit. The risk among those quitting more than 5 years prior to the baseline exam and those whose age at quitting was prior to 44 years was similar to the risk among never smokers. However, the risk among those quitting less than 5 years prior to the baseline exam and those who continued to smoke until 44 years of age (or beyond) was two and a half times higher than that of never smokers.
Conclusions: Age at quitting improves the prediction of risk of CVD incidence even after other smoking measures are taken into account. The clinical benefit of adding age at quitting to the model with other smoking measures may be greater than the associated costs. Thus, age at quitting should be considered in addition to smoking status, time since quitting and pack-years when counselling individuals about their cardiovascular risk.

Framingham risk prediction equations for incidence of cardiovascular disease using detailed measures for smoking

Current prediction models for risk of cardiovascular disease (CVD) incidence incorporate smoking as a dichotomous yes/no measure. However, the risk of CVD associated with smoking also varies with the intensity and duration of smoking and there is a strong association between time since quitting and the risk of disease onset. This study aims to develop improved risk prediction equations for CVD incidence incorporating intensity and duration of smoking and time since quitting. The risk of developing a first CVD event was evaluated using a Cox’s model for participants in the Framingham offspring cohort who attended the fourth examination (1988–92) between the ages of 30 and 74 years and were free of CVD (n=3751). The full models based on the smoking variables and other risk factors, and reduced models based on the smoking variables and non-laboratory risk factors demonstrated good discrimination, calibration and global fit. The incorporation of both time since quitting among past smokers and pack-years among current smokers resulted in better predictive performance as compared to a dichotomous current/non-smoker measure and a current/quitter/never smoker measure. Compared to never smokers, the risk of CVD incidence increased with pack-years. Risk among those quitting more than five years prior to the baseline exam and within five years prior to the baseline exam were similar and twice as high as that of never smokers. A CVD risk equation incorporating the effects of pack-years and time since quitting provides an improved tool to quantify risk and guide preventive care.

Cigarette smoking, nicotine dependence and anxiety disorders : a systematic review of population-based, epidemiological studies

Background Multiple studies have demonstrated that rates of smoking and nicotine dependence are increased in individuals with anxiety disorders. However, significant variability exists in the epidemiological literature exploring this relationship, including study design (cross-sectional versus prospective), the population assessed (random sample versus clinical population) and diagnostic instrument utilized.

Methods We undertook a systematic review of population-based observational studies that utilized recognized structured clinical diagnostic criteria (Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases (ICD)) for anxiety disorder diagnosis to investigate the relationship between cigarette smoking, nicotine dependence and anxiety disorders.

Results In total, 47 studies met the predefined inclusion criteria, with 12 studies providing prospective information and 5 studies providing quasiprospective information. The available evidence suggests that some baseline anxiety disorders are a risk factor for initiation of smoking and nicotine dependence, although the evidence is heterogeneous and many studies did not control for the effect of comorbid substance use disorders. The identified evidence however appeared to more consistently support cigarette smoking and nicotine dependence as being a risk factor for development of some anxiety disorders (for example, panic disorder, generalized anxiety disorder), although these findings were not replicated in all studies. A number of inconsistencies in the literature were identified.

Conclusions Although many studies have demonstrated increased rates of smoking and nicotine dependence in individuals with anxiety disorders, there is a limited and heterogeneous literature that has prospectively examined this relationship in population studies using validated diagnostic criteria. The most consistent evidence supports smoking and nicotine dependence as increasing the risk of panic disorder and generalized anxiety disorder. The literature assessing anxiety disorders increasing smoking and nicotine dependence is inconsistent. Potential issues with the current literature are discussed and directions for future research are suggested.