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Biomedical subjects

R G Laforge

Publications and source records attributed to R G Laforge.

10 recordsLinked to original sources
PubMed2001

Counselor and stimulus control enhancements of a stage-matched expert system intervention for smokers in a managed care setting.

BACKGROUND: Previous research has demonstrated the efficacy of an interactive expert system intervention for smoking cessation for a general population. The intervention provides individualized feedback that guides participants through the stages of change for cessation. Enhancing the expert system by adding proactive telephone counseling or a stimulus control computer designed to produce nicotine fading could produce preventive programs with greater population impacts. METHODS: Four interventions were compared: (a) the interactive expert system intervention; (b) the expert system intervention plus counselor calls; (c) the expert system intervention plus the stimulus control computer; and (d) an assessment only condition. A 4 (intervention) x 4 (occasions) (0,6,12, and 18 months) design was used. Smokers were contacted at home via telephone or mail. The initial subject pool was the 24,178 members of a managed care company. Screening was completed for 19,236 members (79.6%), of whom 4,653 were smokers; 85.3% of the smokers were enrolled. RESULTS: Thirty-eight percent were in the precontemplation stage, 45% in the contemplation stage, and only 17% in the preparation stage. At 18 months, the expert system resulted in 23.2% point prevalence abstinence, which was 33% greater than that of assessment only. The counselor enhancement produced increased cessation at 12 months but not at 18 months. The stimulus control computer produced no improvement, resulting in 20% worse cessation rates than the assessment only condition. CONCLUSIONS: The enhanced conditions failed to outperform the expert system alone. The study also demonstrated the ability of the interactive expert system to produce significantly greater cessation in a population of smokers than assessment alone.

Adult↗
PubMed1999

Stage distributions for five health behaviors in the United States and Australia.

BACKGROUND: A key variable for the design of individual and public health interventions is the Stage of Change. The five stages of readiness to change are Precontemplation, Contemplation, Preparation, Action, and Maintenance. The distribution of individuals across the stages of change can provide a valuable tool for designing health interventions. METHODS: The pattern of distribution across the stages of change for five behavioral risk factors is presented from five independent surveys, two from the United States and three from Australia. The five risk factors are smoking, low fat diet, regular exercise, reducing stress, and losing weight. Identical single-item questionnaire items for staging health behaviors were used in all surveys. RESULTS: The stage distributions for the five risk factors were similar across the five independent samples. In general, the pattern of stage distributions was stable across health risk factors, gender, country, and sample. CONCLUSIONS: Single-item survey measures of stage of change that are readily applicable to population studies appear to provide important information about the population characteristics of readiness to change behavioral risk factors. The stability of these distributions suggests that interventions matched by stage may have broad applicability.

Adolescent↗
PubMed1999

Stage of regular exercise and health-related quality of life.

BACKGROUND: Research on cognitive factors and motivational readiness for exercise is important for increasing our understanding of behavior change among those with sedentary lifestyles. This study examines stage of change for regular exercise and self-perceived quality of life. METHODS: Data are from 1,387 respondents to a random digit dial survey of health behaviors. Stage of change is assessed with a single item, and individuals are classified with respect to intention and exercise behavior. Quality of life is assessed with the SF-36, a multidimensional measure of health-related quality of life. RESULTS: Exercise stage is associated with self-perceived quality of life. The three areas most strongly related were physical functioning, general health perceptions, and vitality. Physical functioning scores were lowest in precontemplation and highest in maintenance. Vitality and mental health scales were related to exercise behavior, but not to intention. CONCLUSIONS: Cognitions about self-perceived quality of life vary across the stages of change, with those who are least prepared to adopt regular exercise reporting the lowest levels of quality of life. These findings suggest that cognitive-motivational messages designed to emphasize quality of life benefits associated with exercise may be useful intervention strategies for people who are less motivationally ready to change.

Adult↗
PubMed1999

Interactive versus noninteractive interventions and dose-response relationships for stage-matched smoking cessation programs in a managed care setting.

This study compared interactive and noninteractive smoking cessation interventions for a population of smokers who were all members of 1 division of a managed care company. In addition, it examined whether a dose-response relationship existed. Screening was completed for 19,236 members who were contacted by telephone or mail. Of the 4,653 who were identified as smokers, 85.3% were enrolled. A 2 Intervention (interactive or noninteractive) x 4 Contacts (1, 2, 3, or 6 contacts) x 4 Occasions (0, 6, 12, and 18 months) design was used. The interactive intervention was stage-matched expert-system reports plus manuals; the noninteractive intervention was stage-matched manuals. Contact occurred in 1 of 4 series (1, 2, 3 or 6 contacts) at 3-month intervals. The expert system outperformed the stage-matched manuals, but there was no clear dose-response relationship for either intervention.

Adult↗
PubMed1999

Stages of change across ten health risk behaviors for older adults.

Owing to the recent success of the Transtheoretical Model of behavior change and the possible relationships between health behaviors, this study investigated the stage distribution of 10 healthy behaviors (seatbelt use, avoidance of high fat food, eating a high-fiber diet, attempting to lose weight, exercising regularly, avoiding sun exposure, sunscreen use, attempting to reduce stress, stopping smoking, and conducting cancer self-exams) and their interrelationships in a representative sample of health maintenance organization (HMO) members. The majority of older adults were found to be in either precontemplation or maintenance, illustrating the need to target interventions to precontemplation. Most older individuals were in precontemplation for losing weight and/ or sunscreen use and exercise, making these behaviors a priority for intervention research. Possible gateway behaviors to general health could be identified; however, these results are preliminary and require longitudinal follow-up.

Aged↗
PubMed1998

Measuring support for tobacco control policy in selected areas of six countries.

OBJECTIVE: To explore the validity, reliability, and applicability of using a short, psychometrically sound survey instrument to measure population attitudes toward tobacco control policies. DESIGN: Surveys. SUBJECTS AND SETTING: Student respondents attending university in Australia (n = 403), Hong Kong (n = 336), the Netherlands (n = 351), South Africa (n = 291), the United Kingdom (n = 164) and the United States (n = 241); total n = 1786. MAIN OUTCOME MEASURE: The Smoking Policy Inventory (SPI), a 35-item scale. SPI scores were adjusted for age, income, gender, and smoking status. Estimates of internal consistency and tests of factorial invariance were conducted in each sample. RESULTS: Across all six countries, the SPI was found to be highly reliable and to have a consistent factor structure, indicating that the SPI scale represents a higher order construct that assesses general attitudes about tobacco control policy with five dimensions. In general, the degree of endorsement of anti-tobacco policies as measured by the SPI reflected the extent and strength of tobacco control legislation in those countries. Dutch students were the least likely, and Australian and Hong Kong students the most likely, to support tobacco control policies. CONCLUSIONS: It is possible to develop appropriate and meaningful measurement tools for assessing support of tobacco control policies. Strong evidence was found for internal reliability and structural invariance of the SPI. The SPI may be a useful mechanism for monitoring ongoing policy initiatives, making cross-cultural comparisons, and evaluating population receptiveness to proposed policy approaches.

Adolescent↗
PubMed1994

Psychosocial factors influencing low fruit and vegetable consumption.

A major national health campaign has recently been initiated to promote consumption of 5 or more servings of fruits and vegetables each day. This paper investigates psychosocial factors related to fruit and vegetable consumption to understand better who might be receptive and who might resist the national 5-A-Day campaign. We studied 405 adult respondents to a random-digit dial telephone survey. Applying the Transtheoretical Model, respondents were classified by stage of readiness to adopt the practice of eating 5 or more fruits and vegetables each day. Logistic regression models were developed for persons consuming 2 or fewer servings daily and for persons in the Precontemplation stage. Education was directly related to fruit and vegetable intake and indirectly related to being in the Precontemplation stage. Males were twice as likely as females to be in the Precontemplation stage and eat fewer than 2 servings a day. Of special interest, respondents with children at home were at greater risk of eating 2 or fewer servings a day than those without children at home (OR = 1.63; 95% CI, 1.06-2.52). These results imply that stage of readiness to change should be considered as well as other factors in planning interventions for increasing fruit and vegetable consumption.

Adult↗
PubMed1990

Alcoholic beverage type, recall period effects and functional disability: evidence from the 1983 NHIS.

To replicate a Canada Health Survey (CHS) study that found beer drinking was associated with lower morbidity, National Health Interview Survey (NHIS) data for 19,462 persons were used to examine associations between functional disability and beverage specific ethanol consumption. A functional disability index consisting of morbidity and symptom coping events reported for 2 weeks prior to the NHIS interview was constructed. Alcohol consumption was reported for the same period as disability (coincident recall), or for the 2 weeks prior to the respondent's last drink during the past year (antecedent recall). The analysis controlled for confounders using direct standardization and multiple logistic regression. The results of this investigation were not consistent with the CHS study. Former drinkers and antecedent recall drinkers reported greater disability rates than either non-drinkers or coincident recall drinkers. Antecedent recall drinkers exhibiting a preference for beer and wine were, respectively, 40 and 80 percent more likely to be disabled than non-drinkers. Further, this study found no evidence of a protective effect among any subgroup of drinkers. The finding of a significant interaction between alcohol consumption and alcohol recall period suggests that epidemiologic studies should give greater attention to the classification of drinker groups by proximity of alcohol consumption.

Activities of Daily Living↗
PubMedDate not supplied

The College Alcohol Problems Scale.

A short, reliable two-factor instrument measuring drinking-related negative consequences was developed from a previous measure using two samples of college students. In Study I, data on alcohol use and problems associated with alcohol use were collected on 382 introductory psychology students. The original College Alcohol Problems Scale (CAPS) was tested and found to fit the data poorly. Sequential methods were used to develop a revised instrument. Principal components analyses (PCA) on half of the sample were conducted on 20 items written to measure negative consequences related to college student drinking. Results indicated a two-factor solution measuring social and emotional problems. Confirmatory factor analyses (CFA) on the other half of the sample confirmed the two-factor structure. Further refinement of the instrument resulted in the revised CAPS (CAPS-r), an eight-item two-factor scale. In Study II, the response format was altered to coincide with the Young Adult Problem Screening Test. A total of 726 students completed the instrument as part of a university-wide random sample. CFA showed that the hypothesized model fit well across all measures of model fit and the factor structure was invariant across gender. Additional analyses revealed that the scale was internally consistent and externally valid. A short reliable and valid measure of alcohol-related problems is needed to enable low-cost data collection on college campuses across the nation, as well as to facilitate program evaluation and routine epidemiological surveillance and monitoring.

Adolescent↗