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Results for “Demographic Effectiveness”

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At least 19 recordsLinked to original sources

PubMed2001

Demographic effects on the Trail Making Test in sedatives abusers.

Demographic effects on the Trail Making test (TMT), a test often used to screen for cognitive impairment, were examined in a sample of sedatives abusers in drug abuse treatment programs. A sample was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991-1993 in 96 programs in 11 cities in the United States. The number of sedatives abusers' scores available for analysis were 72. Data were analyzed to determine the effects of sex, ethnicity, age, and education variables on the two parts of the TMT in this large treatment sample of sedatives abusers. None of the demographic variables were statistically significantly related to TMT parts A and B, when considered as single variables. In addition, R-Square values for overall models were low (A = .15, B = .18), suggesting that demographic effects on the TMT in a sample of sedative abusers are very weak.

Adolescent↗

PubMed2003

Demographic effects on the Trail Making Test in a drug abuse treatment sample.

Appreciation of the importance of screening for cognitive impairment among substance abusing populations has increased in recent years. In this article, demographic effects on the Trail Making Test (TMT), a test often used for screening for cognitive impairment, are examined in a sample of patients in drug abuse treatment programs. A sample of 5,619 males and 2,902 females was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic cohort study that collected data from 1991 to 1993 in 96 programs in 11 cities in the US. Data were analyzed to determine the effects of demographic variables on the two parts of the TMT in this large sample of patients. Consistent with previous research, demographic variables such as age, gender, education level, and ethnicity were statistically significantly related to both TMT Parts A and B. More importantly, however, the percentage of variance accounted for was quite small. These results suggest that, while clearly present, demographic effects on the TMT are weak.

Adolescent↗

PubMed2001

Demographic effects on the Trail Making Test in amphetamine abusers.

Demographic effects on the Trail Making Test (TMT), a test often used for screening for cognitive impairment, were examined in a sample of amphetamine abusers in drug abuse treatment programs. A sample was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991-1993, in 96 programs in 11 cities in the United States. The number of amphetamine abusers scores available for analysis were 185. Data were analyzed to determine the effects of sex, ethnicity, age, and education variables on the two parts of the TMT in this large treatment sample of amphetamine abusers. No variables were statistically significant for either parts A and B of the TMT. R-square values for overall models were also negligible (A = .03, B = .08) suggesting that demographic effects on the TMT account for a minuscule amount of overall variance in terms of amphetamine abusers' TMT performance.

Adolescent↗

PubMed1992

Interpreting demographic effects in duration analyses of first birth intervals.

"Estimated demographic effects in proportional hazard models of first birth intervals could reflect time-invariant differences in the risk of a birth, or differences in the timing of a shift in the risk, or both. This paper attempts to distinguish between these possibilities. The procedure is to estimate a more general model than the proportional hazard specification, in which the evolution of the risk of a birth can differ with demographic characteristics. The proportional hazard specification is nested within this more general model. Consequently, the consistency of the data with the 'risk' or the 'timing' interpretation of demographic effects can be tested. The data studied do not lead to a rejection of the proportional hazard specification." Data are from the 1984 U.S. National Longitudinal Survey Youth Cohort and concern 670 women aged 16 or 17 in 1979.

Americas↗

PubMed2001

Demographic effects on the Trail Making test in alcohol abusers.

Demographic effects on the Trail Making Test (TMT), a test often used for screening for cognitive impairment, are examined in a sample of alcohol abusers in drug abuse treatment programs. A sample was drawn from electronic files of data from the Drug Abuse Treatment outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991-1993 in 96 programs in 11 cities in the United States. The number of alcohol abuser's scores available for analysis was 1000. Data were analyzed to determine the effects of gender, ethnicity, age and education variables on the two parts of the TMT in this large treatment sample of alcohol abusers. The variables of age, ethnicity and education were statistically significant for both parts A and B of the TMT. R-Square values for overall models were quite weak (A = .12, B = .14) suggesting that demographic effects on the TMT, while clearly present, account for relatively little overall variance in terms of alcohol abuser's TMT performance. These results are consistent with earlier research using a more heterogenous drug abuse treatment sample.

Adult↗

PubMed2001

Demographic effects on the Trail Making Test in marijuana abusers.

Demographic effects on the Trail Making Test (TMT), a test often used for screening for cognitive impairment, were examined in a sample of marijuana abusers in drug abuse treatment programs. A sample was drawn from electronic files of data from the Drug Abuse Treatment outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991-1993 in 96 programs in 11 cities in the United States. The number of marijuana abusers' scores available for analysis were 259. Data were analyzed to determine the effects of sex, ethnicity, age, and education variables on the two parts of the TMT in this large treatment sample of marijuana abusers. The variables of age and education level were statistically significantly related to TMT parts A and B, and ethnicity was statistically significant for part B of the TMT. R-Square values for overall models were moderate (A = .15, B = .18) suggesting that demographic effects on the TMT are weak.

Adolescent↗

PubMed2001

Demographic effects on the Trail Making Test in hallucinogen abusers.

Demographic effects on the Trail Making test (TMT), a test often used for screening for cognitive impairment, were reexamined in a sample of hallucinogen abusers in drug abuse treatment programs. A sample was drawn from electronic files of data from the Drug Abuse Treatment outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991-1993 in 96 programs in 11 cities in the United States. The number of hallucinogen abusers' scores available for analysis were 128. Data were analyzed to determine the effects of sex, ethnicity, age and education variables on the two parts of the TMT in this large treatment sample of hallucinogen abusers. The variable of ethnicity was statistically significant for both parts A and B of the TMT and just at the edge of significance for age for part A. R-Square values for overall models were moderate (A = .30, B = .29) suggesting that demographic effects on the TMT account for a minority of overall variance in terms of hallucinogen abusers' TMT performance.

Adolescent↗

PubMed2001

Demographic effects on the Trail Making Test in narcotic/other opiate abusers.

Demographic effects on the Trail Making Test (TMT), a test often used to screen for cognitive impairments, were examined in a sample of narcotic/other opiate abusers in drug abuse treatment programs. A sample was drawn from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991 through 1993 in 96 programs within 11 cities in the United States. The number of narcotic/other opiate abusers' scores available for analysis was 191. Data were analyzed to determine the effects of sex, ethnicity, age, and education on the two parts of the TMT in this sample of narcotic/other opiate abusers. The variables of age and education level were statistically significantly related to TMT parts A and B, and ethnicity was statistically significant for part B of the TMT. R-square values for overall models were moderate (A = .34, B = .24), suggesting that demographic effects on the TMT are moderate.

Adult↗

PubMed2002

Derived trail making test indices in a sample of heroin abusers: demographic effects.

Derived indices on the Trail Making test (TMT), a test often used for screening cognitive impairment, are examined in a sample of heroin abusers in drug abuse treatment programs. A mixed race sample of 1548 subjects was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991-1993 in 96 programs in 11 cities in the United States. Data were analyzed to determine the effects of demographic variables on derived indices created by adding, subtracting, multiplying, and dividing parts A and B of the TMT in this large treatment sample of heroin abusers. The variables of sex, age, ethnicity, and education were strongly statistically significant for the total (A + B) and interaction (A x B/100) derived indices of the TMT. Similarly, the difference score (B - A) was significant for race/ethnicity and education, but the ratio score (B/A) was not significant for any demographic variable.

Adolescent↗

PubMed2002

Derived trail making test indices in a sample of alcohol abusers: demographic effects.

Derived indices on the Trail Making test (TMT), a test often used for screening cognitive impairments, were examined in a sample of alcohol abusers in drug abuse treatment programs. A mixed race sample of 1000 subjects was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991-1993 in 96 programs in 11 cities in the United States. Data were analyzed to determine the effects of demographic variables on derived indices created by adding, subtracting, multiplying, and dividing parts A and B of the TMT in this large treatment sample of alcohol abusers. The variables of age, ethnicity, and education were statistically significant for the total (A + B), interaction (A x B/100), and difference score (B-A) derived indices of the TMT. The ratio score (B/A) was only significant for education.

Adult↗

PubMed2002

Derived trail making test indices in a sample of marijuana abusers: demographic effects.

Derived indices on the Trail Making Test (TMT), a test often used for screening for cognitive impairment, were examined in a sample of marijuana abusers in drug abuse treatment programs. A mixed-race sample of 259 subjects was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991 to 1993 in 96 programs in 11 cities in the United States. Data were analyzed to determine the effects of demographic variables on derived indices created by adding, subtracting, multiplying, and dividing Parts A and B of the TMT in this large treatment sample of marijuana abusers. The variables of age, ethnicity, and education were statistically significant for the total (A + B), and interaction (A x B/100) derived indices of the TMT. The difference score (B - A) was significant only for ethnicity and the ratio score (B/A) was not significant for any demographic variable.

Adolescent↗

PubMed2002

Derived trail making test indices in a sample of hallucinogen abusers: demographic effects.

Derived indices on the Trail Making test (TMT), a test often used for screening for cognitive impairment, were examined in a sample of hallucinogen abusers in drug abuse treatment programs. A mixed race sample (N = 128) was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991 to 1993 in 96 programs in 11 cities in the United States. Data were analyzed to determine the effects of demographic variables on derived indices created by adding, subtracting, multiplying, and dividing Parts A and B of the TMT in this large treatment sample of hallucinogen abusers. The variables of sex and age were not statistically significant for derived indices of the TMT. The variable of ethnicity was significant for the all derived indices except the ratio score (divide Part B by Part A) and the variable of education was significant for the interaction score (multiply Part A by Part B and divide by 100).

Adolescent↗

PubMed2002

Derived Trail Making Test indices in a sample of amphetamine abusers: demographic effects.

Derived indices on the Trail Making Test (TMT), a test often used for screening for cognitive impairment, were examined in a sample of amphetamine abusers in drug abuse treatment programs. A mixed race sample (N = 185) was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS), a naturalistic, prospective cohort study that collected data from 1991 to 1993 in 96 programs in 11 cities in the United States. Data were analyzed to determine the effects of demographic variables on derived indices created by adding, subtracting, multiplying, and dividing Parts A and B of the TMT in this large treatment sample of substance abusers. The variables of sex, age, ethnicity, and education were not statistically significant for selected derived indices of the TMT.

Adolescent↗

PubMed2002

Derived trail making test indices in a sample of sedative abusers: demographic effects.

Derived indices on the Trail Making test (TMT), a test often used to screen for cognitive impairment, were examined in a sample of 72 sedative abusers in drug abuse treatment programs. A mixed race sample was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991-1993 in 96 programs in 11 cities in the United States. Data were analyzed to determine the effects of demographic variables on derived indices created by adding, subtracting, multiplying, and dividing parts A and B of the TMT in this large treatment sample of substance abusers. The variables of sex, age, ethnicity, and education were not statistically significant for selected derived indices of the TMT.

Adolescent↗

PubMed2002

Derived trail making test indices in a sample of narcotic/other opiate abusers: demographic effects.

Derived indices on the Trail Making Test (TMT), a test often used to screen for cognitive impairment, were examined in a sample of 191 narcotic/other opiate abusers in drug abuse treatment programs. A mixed race sample was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991-1993 in 96 programs in 11 cities in the United States. Data were analyzed to determine the effects of demographic variables on derived indices created by adding, subtracting, multiplying, and dividing parts A and B of the TMT in this large treatment sample of substance abusers. The variables of age, ethnicity, and education were statistically significant for the total score (A + B) and interaction score (A x B/100) derived indices of the TMT. In addition, the difference score (B - A) was statistically significant for education. The ratio score (B/A) was not significant for any demographic variable.

Adolescent↗

PubMed2001

Derived trail making test indices in a sample of substance abusers: demographic effects.

Derived indices on the Trail Making Test (TMT), a test often used to screen for cognitive impairments, were examined in a sample of substance abusers in drug abuse treatment programs. A mixed race sample was drawn from electronic files of data from the Drug Abuse Treatment Outcome Study (DATOS). The DATOS was a naturalistic, prospective cohort study that collected data from 1991 through 1993 within 96 programs in 11 cities in the United States. Data were analyzed to determine the effects of demographic variables on derived indices created by adding, subtracting, multiplying, and dividing parts A and B of the TMT in this large treatment sample of substance abusers. The variables of sex, age, ethnicity, and education were statistically significant for selected derived indices of the TMT.

Adult↗

PubMed1996

Demographic effects of natural disasters: a case study of Hurricane Andrew.

Many studies have considered the economic, social, and psychological effects of hurricanes, earthquakes, floods, tornadoes, and other natural disasters, but few have considered their demographic effects. In this paper we describe and evaluate a method for measuring the effects of Hurricane Andrew on the housing stock and population distribution in Dade County, Florida. Using information collected through sample surveys and from other data sources, we investigate the extent of housing damages, the number of people forced out of their homes, where they went, how long they stayed, and whether they returned to their prehurricane residences. We conclude that more than half the housing units in Dade County were damaged by Hurricane Andrew; that more than 353,000 people were forced to leave their homes, at least temporarily; and that almost 40,000 people left the county permanently as a direct result of the hurricane. We believe that this study will provide methodological guidance to analysts studying the demographic effects of other large-scale natural disasters.

Data Collection↗

PubMed1989

The demographic effect of mixed marriages.

This paper gives a formal expression for the demographic effect of mixed marriages, i.e., the effect on the number of children, and thereafter illustrates the long-term effects of these marriages with a simple simulation model.

Culture↗