Showing posts with label Risk taking. Show all posts
Showing posts with label Risk taking. Show all posts

Saturday, January 2, 2016

The Drinkers Degree: Risk Taking Behaviours amongst Undergraduate Student Drinkers

Objective
To examine risk taking behaviours associated with alcohol consumption amongst UK undergraduate students. 

Design and Methods. 
A cross-sectional web survey was used to assess attitudes and health behaviours. The survey included the Alcohol Use Disorders Identification Test (AUDIT). Students were also asked about why they drank alcohol; about their preferred alcoholic beverage; and if they had experienced any consequences associated with drinking alcohol as well as questions relating to sexual risk taking, drug use, and smoking. 

Results. 
2779 (65% female; 84% White British) students completed some part of the survey. Of these, 98% (n = 2711) completed the AUDIT. Of the 92% that drank 66% (n = 1,643) were categorised as being AUDIT positive. 8% (n = 224) were categorised as probably alcohol dependent. Higher AUDIT scores were significantly associated with negative consequences such as unplanned sexual activity, physical injuries, and arguments. Other risk taking behaviours such as drug use and smoking were also found to be positively correlated with higher AUDIT scores; drug use; and smoking. 

Conclusions. 
The results from this study provide insight into students' alcohol consumption and associated risk taking. University policies need to protect students' overall health and wellbeing to ensure academic potential is maximised.

Below:  Reasons for drinking alcohol.
Reasons for drinking alcoholStrongly agree/agreeStrongly disagree/disagreeMann-Whitney
NMeanSDNMeanSDZ scoreP value
To feel good178711.126.272549.284.91−4.7<0.0005
To feel confident199111.176.191928.675.58−6.21<0.0005
To relieve stress187710.816.1520711.116.38−0.270.785
To feel relaxed194410.736.1117710.755.88−0.720.474
To look cool9909.726.29101011.685.79−7.92<0.0005
To get drunk216111.106.081246.484.58−9.34<0.0005
Because friends do160710.456.2344111.725.97−3.99<0.0005

Full article at:   http://goo.gl/l8IluV

By:   Gillian O'Neill, 1 , 2 Neil Martin, 3 Jennifer Birch, 1 Alison Oldam, 4 and Dorothy Newbury-Birch 5 , *
1Institute of Health and Society, Newcastle University, Newcastle upon Tyne NE2 4AX, UK
2Durham County Council, Durham DH1 5UJ, UK
3Balance, North East Alcohol Office, Durham DH1 1TW, UK
4Student Wellbeing Service, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
5School of Health and Social Care, Teesside University, Middlesbrough TS1 3BA, UK
*Dorothy Newbury-Birch: Email: ku.ca.seet@hcrib-yrubwen.d
Academic Editor: Gallus Bischof
J Addict. 2015; 2015: 965438.
Published online 2015 Dec 2. doi:  10.1155/2015/965438 



Sunday, November 22, 2015

"Outness" as a Moderator of the Association Between Syndemic Conditions and HIV Risk-Taking Behavior among Men Who Have Sex with Men in Tijuana, Mexico

Multiple psychosocial conditions tend to co-occur and contribute to higher risk for HIV among men who have sex with men (MSM), a phenomenon known as syndemics. Less is known about moderating factors that may attenuate the relation between syndemic conditions and sexual risk-taking. 

We examined disclosure of same-sex sexual behavior or "outness" as a moderating factor of the syndemic effect. We recruited a sample of MSM (n = 191) using respondent-driven sampling in Tijuana, Mexico. Participants completed a survey of syndemic conditions (i.e., substance use, depression, violence, internalized homophobia, and sexual compulsivity), sexual risk-taking (i.e., condom unprotected anal sex with a stranger in the past 2 months), and the degree to which they are "out" about sex with men. 

Consistent with previous research, we found that men who report more syndemic conditions show a greater prevalence of sexual risk-taking. As predicted, men who were out to more people showed a weaker association between syndemic conditions and sexual risk-taking, whereas men who were out to fewer people showed the strongest association. 

This study is the first to provide evidence of "outness" as a moderating factor that attenuates syndemic effects on sexual risk-taking. Building upon previous research, the data suggest that "outness" may be a resilience factor for MSM in Tijuana. HIV prevention intervention implications are discussed.

Purchase full article at:  http://goo.gl/km84i3

  • 1Division of Global Public Health, Department of Medicine, University of California at San Diego, Mail Code 0507, 9500 Gilman Drive, La Jolla, CA, 92093-0680, USA, epitpitan@ucsd.edu. 


Sunday, November 8, 2015

Risk-Taking Behaviours & HIV Infection among Sex Workers in Portugal

Sex workers (SW) are key populations at an increased risk of HIV infection. This study aimed to characterise risk-taking behaviours and assess HIV prevalence among SW in Portugal.

A cross-sectional survey was conducted with 1040 SW using a participatory research approach. SW were recruited in sex-work locations and community-based organisation offices. Data were collected through a questionnaire with trained interviewers. An HIV rapid test was performed in 213 respondents.

Reported HIV prevalence was 8%: 17.6% of man-to-woman transgenders, 7.4% of women and 5% of men. Of SW reportedly living with HIV, 52.2% reported ever injecting drug use. Inconsistent condom use with clients in the last month was higher among male SW (26.5%) and with non-paying partners in the last year was higher among women (71.3%). Among reported HIV-positive SW, the proportions of inconsistent condom use were high. In multivariate regression analysis, reported HIV infection remained significantly higher among transgenders, those older, working outdoors, having ever used psychoactive substances and earning ≤€1000 per month. Of those who had an HIV rapid test, 8.9% were reactive; 73.7% were unaware of their seropositivity.

The HIV infection burden in SW is high. Efforts to promote HIV testing must be sustained in order to reduce undiagnosed infection. The diverse risk profiles of SW must be addressed in targeted HIV interventions. Prevention interventions should be systematically implemented within most-at-risk subgroups of SW.

Purchase full article at: http://goo.gl/HEPgpW

  • 1Instituto de Higiene e Medicina Tropical & CMDT, Universidade Nova de Lisboa, Lisboa, Portugal.
  • 2GAT-Grupo Português de Activistas sobre o Tratamento de VIH/Sida Pedro Santos, Lisboa, Portugal.
  • 3Institute of Public Health of University of Porto, University of Porto Medical School, Porto, Portugal.  


Tuesday, October 20, 2015

Predictors of Change in Substance Abuse Status in Soldiers

Military service is a stressful task that influences the life style of army personnel. Several factors can make soldiers less capable of coping with stressful events; so they may try to start drug abuse or increase in the amount or diversity of substance abuse. Understanding factors responsible for this misbehavior among soldiers is crucial for their commanders to modify these factors.

This study aimed to determine the predictors of change in substance abuse status in soldiers.

This cross-sectional research was conducted to evaluate the substance abuse status among Iranian soldiers in 2010. The target population was the soldiers who had spent at least 3 months of their military service. Cluster sampling was done from army service garrisons in 12 provinces in Iran. A total of 3960 soldiers were selected with different levels of education and age. Data gathering was done with demographic questionnaires, Texas Christian university (TCU) drug screen II and ASI questionnaire (fifth edition). Four types of dependent variables were defined: “improvement”, “without change”, “deterioration”, and “severe deterioration”. Backward ordinal regression analysis was done and P values, OR, and SE were calculated by SPSS19 software.

Totally, 6.7% of soldiers improved, 82% remained without change, 6.1% deteriorated, and 5.2% severely deteriorated with regard to their substance abuse. Modifiable predictors were distance from home lower than 200 km (OR =1.54), bad relationship with commanders (OR = 1.88), service place dissatisfaction (OR = 1.39), and always feeling lonely (OR = 1.83). Non-modifiable factors were alcohol use within family and friends (P = 0.000); psychiatric drug use history (OR = 1.72); suicidal attempt history (OR = 1.31); divorce, separation, and extramarital contact (P = 0.001); unemployment (P = 0.019); leisure time dissatisfaction (P = 0.004); living alone (OR = 2.43); and substance abuse onset before age 15 (OR = 1.71).

Considering non-modifiable risk factors, leaders and commanders may recognize more vulnerable soldiers and try to resolve modifiable factors and decrease the risk of getting worse (with respect to substance abuse) about 7.3 times...

...The aim of this study was to determine the predictors of change in substance abuse status of soldiers during military service. In our study, it is demonstrated that alcohol use in family and with friends, living alone, psychiatric drug use history, suicidal attempt history, marital status, job prior to military service, leisure time dissatisfaction and age of substance abuse onset are non-modifiable factors of increasing the chance of progression in substance abuse status from “improvement” to “no change”, “deterioration”, and “severe deterioration”. Also distance from home, bad relationship with commanders, service place dissatisfaction and always feeling lonely are the modifiable risk factors of increasing 7.3 times the chance of mentioned progression.

There is some evidence that having a parent who abused substances play a crucial role in the etiology of illegal substance use initiation and continuation (-). Also, Hofler et al. in their study on 1228 teenager respondents showed that family history of substance use disorders and peer group drug use predict the progression to cannabis use from “no use”, to “one time only”, then “repeated use”, and finally “regular use” (). Many studies demonstrated that parental and peer drinking predicted heavy drinking (-). Hayatbakhsh et al. showed in two studies that maternal smoking and alcohol consumption were strongly associated with young adult cannabis use, early onset of smoking, and use disorder (, ). Our study confirmed these findings.

Some studies have demonstrated that male gender is an important etiology of illegal substance use initiation and continuation (, , ). Ferrier-Auerbach et al. hypothesize that higher alcohol use in the military will be associated with demographic variables, including younger age, male gender, lower levels of education, and unmarried status (). This finding confirmed by Ansari-Moghadam et al. who indicated that male gender, single life, low level of education act as facilitators for transition to use new drugs (). However, Maggs et al. showed that greater academic performance predicted heavy drinking (). Heinz et al. demonstrated that social support has been indicated in improved substance-use outcomes and the quality of social support in marital relationship (i.e. functional social support) has been associated with substance-use outcomes in important and meaningful ways (). We did not assess the gender variable in our study, but we showed that marital status and job prior to military service are the important demographic predictors for deterioration in substance abuse status. Lower level of education in univariate analysis was associated by being in improvement type, but it was not known as predictor in multivariate analysis.

Studies have shown that parent's educational degree and lower levels of parental verbal reasoning are associated with illegal substance use initiation and continuation (-). Also single-parent household and less harmonious family relationships predicted heavy drinking (, , ) and changes in maternal marital status were strong early life predictors of young adult cannabis use and disorder (). In our study, living alone was a predictor for getting worse in substance abuse situation, which can be due to instability of family or individual reasons.

Brady and Sinha showed in their study that patients with anxiety or mood disorders are more prone to use substances for alleviating distressing symptoms (). There is some evidence that early onset of drug use, more thought problems, weak social problem solving skills, and use of legal substances at baseline play a pivotal role in the etiology of illegal substance use initiation and continuation (, , ). Also one study indicated that early onset of substance use and type of first used drug act as facilitators for transition to new drugs (). Kaplow et al. showed that overactivity is a predictor of early-onset substance use (). Hofler et al. in their study on 1228 teenager respondents showed that self-esteem and competence, unconditional commitment to not using drugs, immediate availability of drugs, and previous history of nicotine dependence and alcohol use disorders predict the progression to cannabis use from “no use”, to “one time only”, then “repeated use”, and finally “regular use” (). Risk taking, use of cigarettes and marijuana, higher social maladjustment, greater academic performance, less internalizing problems, more truancy, and earlier school-leaving plans predicted heavy drinking (-, ). Ferrier-Auerbach et al. also hypothesize that higher alcohol use in the military will be associated with personality disorders, including higher levels of negative emotionality and disconstraint; as well as pre-deployment mental health problems such as higher levels of PTSD and depression (). Early life course predictors of cannabis use were studied. In this regard, school performance, childhood sexual abuse, early adolescence smoking and alcohol consumption, as well as adolescent aggression/delinquency were strongly associated with young adult cannabis use and substance use disorder (). One study identified patients with substance use disorders who deteriorated during treatment, and examined baseline predictors of deterioration. Deterioration was predicted by not having close friends. Patients who had both alcohol and drug dependency, personality disorder diagnosis, and those who had a shorter episode of care and fewer outpatient-mental-health visits, were more likely to deteriorate (). Child externalizing (at age 5) significantly predicted the early onset of smoking ().

Our study demonstrated that psychiatric drug use history, self-mutilation or suicide history, leisure time dissatisfaction, bad relationship with commanders, service place dissatisfaction, and feeling always lonely are factors of increasing in the chance of progression in substance abuse status from “improvement” to “no change”, “deterioration” and finally “severe deterioration”. We also showed that distance from home (less than 200 km) is a predictor of getting worse, which can be due to maintaining access to substances. Age of substance abuse onset was associated significantly to getting in worse type, which confirms other studies. In our study, exemption from combat was significantly associated with improving in substance abuse status but in multivariate analysis it was not a predictor.

One of the study limitations was the information bias due to incorrect responses of some participants. To ease this problem, participants were assured of the privacy of information. The other limitation was lack of specific assessment in each stratum due to executive problems, which lead to non-specific generalizability. Substance abuse information was collected only subjectively with its own limitation of validity. Also in this study, dependent variables were defined totally for all substances, which may lower the specificity of results for each group of substance abusers. The strength of this study was its target sample from a wide area of the country and its important setting, the military service. The other strength of this study is defining subtypes of ‘change’ in substance abuse situation.

Alcohol use in family and with friends, living without family, psychiatric drug use history, suicidal attempt history, divorce, separation, extramarital contact, unemployment, leisure time dissatisfaction, distance from home less than 200 km, bad relationship with commanders, service place dissatisfaction, always feeling lonely, and age of substance abuse onset all contributed significantly to the final model, predicting the progression to the substance abuse status from ‘improvement’ to ‘no change’, then ‘deterioration’ and finally ‘severe deterioration’. Considering non-modifiable risk factors, commanders may recognize more vulnerable soldiers and try to resolve modifiable ones and decrease the risk of getting worse as much as 7.3 times... 

Full article at: http://goo.gl/5OMwhC

1Behavioral Sciences Research Center, Baqiyatallah University of Medical Sciences, Tehran, IR Iran