5 resultados para Parental alcohol misuse

em DigitalCommons@The Texas Medical Center


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The study focused on the relationship between antisocial personality syndrome in boys ages 8-15 and parental alcohol/drug dependency. The population studied was case records of 101 boys coming to a private psychiatrist from 1966 through 1979. The boys were predominantly white and from middle to upper income families.^ A boy was determined to have antisocial personality syndrome if he exhibited antisocial behaviors in four or five major categories, did not exhibit a brain syndrome, and did not exhibit a thought disorder. The five major behavior categories were: (1) self-control (i.e., temper tantrums or hyperactivity), (2) behavior at home (i.e., disobedience or lying), (3) behavior at school (i.e., truancy or cheating), (4) behavior toward peers (i.e., bullying, fighting, or tattling), and (5) behavior against property (i.e., destructiveness or stealing). A boy was determined to be a control if he exhibited antisocial behaviors in two or less behavior categories.^ A parent was determined to have alcohol/drug dependency if s/he exhibited a score above the established threshold (1) for the MacAndrew Alcoholism Scale (28 or above), and (2) for the Holmes Alcoholism Scale (35 or above) which are used with the MMPI. A parent was classified not alcohol/drug dependent if s/he had scores below set thresholds (22 on the MacAndrew Alcoholism Scale and 28 on the Holmes Alcoholism Scale).^ For the final sample (N = 10), there was no reason to believe a relationship exists between antisocial personality syndrome in boys ages 8-15 and parental alcohol/drug dependency (Fisher's Exact Test {FET} P = 1.0). The small sample size primarily occurred as a result of 88.12% of the parents being classified in a questionable category in terms of alcohol/drug dependency.^ The sample was suggestive of a relationship between the fathers' Psychopathic Deviate (Pd) Scale scores as a measure of antisocial tendencies and the boy having antisocial personality syndrome (N = 75; P = .12). There was no evidence of such a relationship for mothers (N = 75; P = .97). ^

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The negative outcomes from alcohol misuse have been chronicled for decades in epidemiological studies. Recent research has focused on patterns of drinking. Binge and heavy drinking have been associated with multiple negative outcomes, to include surrogate outcomes designed to measure decrements to military readiness. This study is perhaps the first to examine whether binge or heavy drinking patterns are associated with the U.S. military’s overall inability to deploy rate or the individual reasons unable to deploy. ^ The prevalence of binge and heavy drinking and the inability to deploy rates were assessed from responses to the 2005 Department of Defense Survey of Health Related Behaviors Among Military Personnel. A secondary analysis of extant data resulted in a final sample size of 13,619 respondents who represented 847,253 active-duty military personnel. Multivariate models were fitted to examine the association between patterns of drinking and individual reasons for the inability to deploy. ^ Logistic regression showed no association of binge or heavy drinking to greater inability to deploy. Interestingly, individual reasons for the inability to deploy did show an association to include: Training, Dental Issue, No HIV Test, and Family Situation. There was no association noted for the individual reasons: Injury, Illness, Leave/Temporary Duty, or Other. Binge and heavy drinkers appear to be more susceptible to the psychosocial determinants than physical determinants as reasons for the inability to deploy. ^

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This study was designed to test the theoretical predictors of personal efficacy expectations among family medicine resident physicians for helping their patients change thirteen high risk health behaviors. A survey questionnaire was sent to 781 family medicine residents in the six state south central region. The response rate was 60 percent. The hypothesized relationship between lower levels of difficulty and higher personal efficacy expectations was supported by the data. Effort was a significant predictor of perceived self efficacy for health behaviors considered less difficult to change. Situational support did not prove to be a significant predictor for many of the health behaviors. Rate and pattern of success were consistent and significant predictors of perceived self efficacy for helping patients change all thirteen of the health behaviors. Modeling of effective methods by faculty was a significant predictor of efficacy expectations for several but not all of the behaviors. Personal modeling was a significant predictor of perceived efficacy for helping patients change behaviors related to alcohol misuse and exercise. The respondents personally modeled positive health behaviors more consistently than their older colleagues or the general population.^ The results of this study lend substantially to the usefulness of the cognitive-behavioral theory of perceived self efficacy and provide a mechanism for assessing the predictors of personal efficacy expectations of family medicine resident physicians. The findings are expected to have direct implications for faculty to institute systematic programs of interventions designed to increase residents' perceptions of efficacy in facilitating more positive health behaviors among their patients. ^

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Those of us committed to the tenets of Family Preservation must advocate for increased awareness and attention to the needs of children and their families in rural America. "Country roads" and the rural spaces they traverse have been eulogized by many poets and song writers as ideal places to live. But they may not be ideal for everyone. The past few months, it has become all too evident that rural America is not immune to acts of extreme violence by troubled children. Even though almost 1/3 of American youth live in rural areas, they have been "virtually ignored by mental health service planners and providers"(Cutrona, Halvorson, & Russell, 1996, p. 217). Mental health risk factors such as poverty, parental alcohol abuse, and family instability are on the rise in rural areas, and there has been an increase in suicide attempts, family violence, depression, and alcohol abuse (Cutrona, Halvorson, & Russell, 1996; Petti & Leviton, 1986; National Mental Health Association, 1988). Native Americans are especially concerned about the increases in child abuse and neglect, depression, substance abuse, and suicide in their communities.

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Objective. To examine associations between parental monitoring and adolescent alcohol/drug use. ^ Methods. 981 7th grade students from 10 inner-city middle schools were surveyed at the 3 month follow-up of an HIV, STD, and pregnancy prevention program. Data from 549 control subjects were used for analyses. Multinomial logistic regression was used to examine associations between five parental monitoring variables and substance use, coded as: low risk [never drank alcohol or used drugs (0)], moderate risk [drank alcohol, no drug use (1)], and high risk [both drank alcohol and used drugs or just used drugs (2)]. ^ Results. Participants were 58.3% female, 39.6% African American, 43.8% Hispanic, mean age 13.3 years. Lifetime alcohol use was 47.9%. Lifetime drug use was 14.9%. Adjusted for gender, age, race, and family structure, each individual parental monitoring variable (perceived parental monitoring, less permissive parental monitoring, greater supervision (public places), greater supervision (teen clubs), and less time spent with older teens) was significant and protective for the moderate and high risk groups. When all 5 variables were entered into a single model, only perceived parental monitoring was significantly associated (OR=0.40, 95% CI 0.29-0.55) for the moderate risk group. For the high risk group, 3 variables were significantly protective (perceived parental monitoring OR=0.28, CI 0.18-0.42, less time spent with older teens OR=0.75, CI 0.60-0.93, and greater supervision (public places) OR=0.79, CI 0.64-0.99). ^ Conclusion. The association between parental monitoring and substance abuse is complex and varied for different risk levels. Implications for intervention development are addressed. ^