Uncovering multiple pathways to substance use: a comparison of methods for identifying population subgroups

"They didn't have any idea what drugs were": Pathways to substance use disorders among ultraorthodox Jewish males

BACKGROUND

Substance use disorders (SUDs) are a worldwide phenomenon with very negative consequences, and belonging to a religious community is considered to be a protective factor against them. The pathways to SUDs have been investigated in many studies with the aim of helping us better understand this phenomenon and promoting effective intervention programs to prevent and manage it. However, there is a lack of knowledge regarding SUDs in closed religious communities such as the Ultraorthodox Jewish community.

METHOD

To fill this gap, in the current study we investigated the pathways to SUDs among 14 young men from the Ultraorthodox Jewish community in Israel who were diagnosed as having an SUD in the past and who had been in sustained remission for at least a year. Semi-structured, in-depth interviews consisting of open-ended questions were conducted.

RESULTS

The findings highlighted two main themes: (a) A lack of support and attention from various systems, where participants reported sense of otherness or lack of belonging to family, educational institutions and community; a lack of responsiveness from those systems; a sense of rejection or exclusion; and a longing for belonging, and (b) A light in the darkness - someone who cares, in which the interviewees received some assistance, either in the period before or during drug use.

CONCLUSION

Findings point to the unique experience of Ultraorthodox young men in their addiction process and shed light on the failure of the abovementioned systems to help these young men cope. Findings are discussed in the context of the theoretical perspectives of social capital theory and exclusion. Implications for intervention and policy are outlined.

Using Agent-Based Models to Develop Public Policy about Food Behaviours: Future Directions and Recommendations

Most adults are overweight or obese in many western countries. Several population-level interventions on the physical, economical, political, or sociocultural environment have thus attempted to achieve a healthier weight. These interventions have involved different weight-related behaviours, such as food behaviours. Agent-based models (ABMs) have the potential to help policymakers evaluate food behaviour interventions from a systems perspective. However, fully realizing this potential involves a complex procedure starting with obtaining and analyzing data to populate the model and eventually identifying more efficient cross-sectoral policies. Current procedures for ABMs of food behaviours are mostly rooted in one technique, often ignore the food environment beyond home and work, and underutilize rich datasets. In this paper, we address some of these limitations to better support policymakers through two contributions. First, via a scoping review, we highlight readily available datasets and techniques to deal with these limitations independently. Second, we propose a three steps' process to tackle all limitations together and discuss its use to develop future models for food behaviours. We acknowledge that this integrated process is a leap forward in ABMs. However, this long-term objective is well-worth addressing as it can generate robust findings to effectively inform the design of food behaviour interventions.

Identifying small groups of foods that can predict achievement of key dietary recommendations: data mining of the UK National Diet and Nutrition Survey, 2008-12

OBJECTIVE

Many dietary assessment methods attempt to estimate total food and nutrient intake. If the intention is simply to determine whether participants achieve dietary recommendations, this leads to much redundant data. We used data mining techniques to explore the number of foods that intake information was required on to accurately predict achievement, or not, of key dietary recommendations.

DESIGN

We built decision trees for achievement of recommendations for fruit and vegetables, sodium, fat, saturated fat and free sugars using data from a national dietary surveillance data set. Decision trees describe complex relationships between potential predictor variables (age, sex and all foods listed in the database) and outcome variables (achievement of each of the recommendations).

SETTING

UK National Diet and Nutrition Survey (NDNS, 2008-12).

SUBJECTS

The analysis included 4156 individuals.

RESULTS

Information on consumption of 113 out of 3911 (3 %) foods, plus age and sex was required to accurately categorize individuals according to all five recommendations. The best trade-off between decision tree accuracy and number of foods included occurred at between eleven (for fruit and vegetables) and thirty-two (for fat, plus age) foods, achieving an accuracy of 72 % (for fat) to 83 % (for fruit and vegetables), with similar values for sensitivity and specificity.

CONCLUSIONS

Using information on intake of 113 foods, it is possible to predict with 72-83 % accuracy whether individuals achieve key dietary recommendations. Substantial further research is required to make use of these findings for dietary assessment.

Identifying binge drinkers based on parenting dimensions and alcohol-specific parenting practices: building classifiers on adolescent-parent paired data

BACKGROUND

Most Dutch adolescents aged 16 to 18 engage in binge drinking. Previous studies have investigated how parenting dimensions and alcohol-specific parenting practices are related to adolescent alcohol consumption. Mixed results have been obtained on both dimensions and practices, highlighting the complexity of untangling alcohol-related factors. The aim of this study was to investigate (1) whether parents' reports of parenting dimensions and alcohol-specific parenting practices, adolescents' perceptions of these dimensions and practices, or a combination are most informative to identify binge drinkers, and (2) which of these parenting dimensions and alcohol-specific parenting practices are most informative to identify binge drinkers.

METHODS

Survey data of 499 adolescent-parent dyads were collected. The computational technique of data mining was used to allow for a data driven exploration of nonlinear relationships. Specifically, a binary classification task, using an alternating decision tree, was conducted and measures regarding the performance of the classifiers are reported after a 10-fold cross-validation.

RESULTS

Depending on the parenting dimension or practice, parents' reports correctly identified the drinking behaviour of 55.8% (using psychological control) up to 70.2% (using rules) of adolescents. Adolescents' perceptions were best at identifying binge drinkers whereas parents' perceptions were best at identifying non-binge drinkers.

CONCLUSIONS

Of the parenting dimensions and practices, rules are particularly informative in understanding drinking behaviour. Adolescents' perceptions and parents' reports are complementary as they can help identifying binge drinkers and non-binge drinkers respectively, indicating that surveying specific aspects of adolescent-parent dynamics can improve our understanding of complex addictive behaviours.

Longitudinal variation in adolescent physical activity patterns and the emergence of tobacco use

OBJECTIVE

The objective of this investigation was to examine how variation in adolescent physical activity is related to smoking and alternative tobacco use.

METHODS

Adolescents (N = 1,384) completed a self-report survey every 6 months from ages 14- to 18-years old in a prospective study of health behaviors. The 8 waves of data were analyzed using General Growth Mixture Modeling (GGMM) RESULTS: GGMM identified five physical activity trajectories including stable higher (SHPA), decreased (DPA), stable regular (SRPA), curvilinear (CPA), and stable low (SLPA). Across 4 years, the likelihood of smoking was greater among adolescents in the DPA, SLPA and SRPA trajectories compared to adolescents belonging to the SHPA trajectory. Alternative tobacco use was greatest among adolescents in the DPA and SRPA trajectories.

CONCLUSIONS

Adolescents with decreasing physical activity and even adolescents averaging an hour of physical activity a day (SRPA) are important groups to target for tobacco use prevention and intervention efforts.