Given the importance of contextual factors and the sharply contrasting social contexts for blacks and whites, exclusive emphasis on individual risk factors and determinants is unlikely to produce solutions that will significantly decrease HIV rates among blacks. Effective HIV prevention in this population will require multidisciplinary research to address the contextual factors that promote patterns of sexual networks that facilitate transmission of STIs.
The higher concurrency prevalence in various groups, dense sexual networks, and mixing between high-risk subpopulations and the general population may be important factors in the US epidemic of heterosexual HIV infection.
This article examines data from 10 longterm prospective studies (N > 5,000) in relation to key issues about the self-quitting of smoking, especially those discussed by Schachter. When a single attempt to quit was evaluated, self-quitters" success rates were no better than those reported for formal treatment programs. Light smokers (20 or less cigarettes per day) were 2.2 times more likely to quit than heavy smokers. The cyclical nature of quitting was also examined. There was a moderate rate (mdn = 2. 7%) of long-term quitting initiated after the early months (expected quitting window) of these studies, but also a high rate (mdn = 24%) of relapsing for persons abstinent for six months. The number of previous unsuccessful quit attempts was unrelated to success in quitting. Finally, there were few occasional smokers (slips) among successful long-term quitters. We argue that quitting smoking is a dynamic process, not a discrete event. Cigarette smoking is considered the major preventable risk in physical morbidity and premature mortality in the United States (U.S. Department of Health and Human Services, 1986). Information about the risks of smoking has been widely disseminated, and smokers and nonsmokers alike report awareness of cigarette-related health risks. In fact, epidemiologic survey data indicate that millions of persons report that they have quit smoking. Most of these persons (as many as 95%) are presumed ,to have quit on their own, without the help of a formal ces
Smokers requesting self-help materials for smoking cessation (N = 2,021) were randomized to receive (a) an experimental self-quitting guide emphasizing nicotine fading and other nonaversive behavioral strategies, (b) the same self-quitting guide with a support guide for the quitter's family and friends, (c) self-quitting and support guides along with four brief counselor calls, or (d) a control guide providing motivational and quit tips and referral to locally available guides and programs. Subjects were predominantly moderate to heavy smokers with a history of multiple previous quit attempts and treatments. Control subjects achieved quit rates similar to those of smokers using the experimental quitting guide, with fewer behavioral prequitting strategies and more outside treatments. Social support guides had no effect on perceived support for quitting or on 8- and 16-month quit rates. Telephone counseling increased adherence to the quitting protocol and quit rates.
Concurrency and bridging likely contribute to increased heterosexual HIV transmission among blacks in the South; contextual factors promote these network patterns in this population.
Marital status in particular is strongly related to concurrency; thus, lower marriage rates among blacks and the associated higher concurrency of sexual partners may contribute to racial disparities in STI rates.
In an attempt to replicate Berkman and Syme's study of social networks and mortality in Alameda County, California, the authors investigated the relationship between a social network index and survivorship from 1967 to 1980 in the Evans County, Georgia, cohort. They constructed an index modeled after the Berkman Social Network Index and tested it in race- and sex-specific proportional hazards models for 2,059 subjects who were examined in 1967-1969 during the Evans County Cardiovascular Epidemiologic Study. The present study emphasized a priori specification of the social network index and statistical hypothesis test. Descriptive analyses were consistent with a modest social networks effect (e.g., hazard ratio (95 per cent confidence interval) of 1.6 (1.2-2.2) ). Among white males, the age-adjusted hazard ratio comparing the lowest to the highest value of our six-level index was 2.0 (1.2-3.4), but control for potential confounders (principally cardiovascular disease risk factors) reduced this value to 1.5 (0.8-2.6). The social networks effect among white females, black males, and black females was weaker and clearly nonsignificant. Exploratory analyses suggested that marital status, church activities, and an alternate social network index predicted survivorship, but not in a dose-response fashion. Reduced survivorship among older subjects with few social ties was the most important feature of the data.
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