Patrick L. Remington

Smoking by blacks and whites: socioeconomic and demographic differences.

Using data from the 1985 National Health Interview Survey for persons aged 25-64 years, we controlled simultaneously for socioeconomic status (SES), demographic factors, and race in multivariate logistic regression analyses. We found that the odds of ever smoking are not higher for Blacks compared with Whites, when the other variables are controlled. By contrast, the odds of heavy smoking for Blacks are far less than for Whites, while Blacks are significantly less likely than Whites to quit smoking regardless of SES or demographic factors. Smoking cessation and prevention programs must be planned with these behavioral, SES, and demographic differences in mind.

Socioeconomic risk factors for breast cancer: distinguishing individual- and community-level effects.

Background: Women are at higher risk of breast cancer if they have higher socioeconomic status (SES) or live in higher SES or urban communities. We examined whether women living in such communities remained at greater risk of breast cancer after controlling for individual education and other known individual-level risk factors. Methods: Data were from a population-based, breast cancer case-control study conducted in Wisconsin from 1988 to 1995 (n = 14,667). Data on community SES and urbanicity come from the 1990 census, measured at the census tract and zip code levels. We evaluated relationships between individual- and community-level variables and breast cancer risk using multilevel logistic regression models with random community intercepts. Results: After controlling for individual education and other individual-level risk factors (age, mammography use, family history of breast cancer, parity, age at first birth, alcohol intake, body mass index, hormone replacement use, oral contraceptive use, and menopausal status), women living in the highest SES communities had greater odds of having breast cancer than women living in the lowest SES communities (1.20; 95% confidence interval = 1.05–1.37). Similarly, the odds were greater for women in urban versus rural communities (1.17; 1.06–1.28). Conclusions: Community SES and urbanicity are apparently not simply proxies for individual SES. Future research should examine why living in such communities itself is associated with greater risk of breast cancer.

Prevalence and Treatment of Menopausal Symptoms Among Breast Cancer Survivors

Women diagnosed with breast cancer often experience early menopause secondary to treatment effects, yet physicians may be reluctant to prescribe hormone replacement therapy (HRT) because of the potential increased risk of recurrence. To assess the burden of menopausal symptoms, HRT use, and alternative treatments in recent breast cancer survivors, a population-based, case-control study was conducted among breast cancer survivors and age-matched controls. Wisconsin women 18-69 years old with a new diagnosis of breast cancer 8-11 months prior to interview (n = 110) and control subjects randomly selected from population lists (n = 73) responded to a standardized telephone questionnaire that elicited information on menopausal symptoms, estrogen and alternative therapies (prescription medications, vitamins, herbal preparations, soy products, acupuncture, chiropractic) used to alleviate symptoms. We used multivariate logistic regression to obtain odds ratios and 95% confidence intervals (CI) for symptoms of menopause, use of estrogen, and use of alternative therapies. Breast cancer survivors were 5.3 (95% CI 2.7-10.2) times more likely to experience symptoms, 25 (95% CI 8.3-100) times less likely to use estrogen, and 7.4 (95% CI 2.5-21.9) times more likely to use alternatives than controls. Soy, vitamin E, and herbal remedies were the most common alternative therapies reported by participants; use was greater in cases compared to controls. Most soy users reported increasing soy products specifically to reduce the chances of a diagnosis of recurrent breast cancer. Among cases, tamoxifen users (n = 62) reported a higher prevalence of symptoms and a higher prevalence of alternative treatments. This is the first population-based survey of menopausal symptoms and treatments that compares breast cancer cases with disease-free controls. Cases are both more likely to experience menopausal symptoms and less likely to use HRT than controls. Instead, cases treat menopausal symptoms with vitamin E and soy products, even though the safety and efficacy of these therapies are unproven. The increased use of soy products in this population has not been previously documented.

Predictors, prodromes and incidence of postpartum depression

The purpose of this study was to determine the incidence of clinically significant depression occurring between 7 and 4 months postpartum and to investigate whether somatic complaints, subsyndromal depressive symptoms, or birth-related concerns among non-depressed women at 1 month were predictive of postpartum depression. This is a prospective cohort study of 465 women from the Wisconsin Maternity Leave and Health Project (WMLHP). Women who were not depressed at 1 month postpartum were reassessed 3 months later for depression occurring at any time in the interval between 1 and 4 months postpartum. Depression was defined as either meeting the criteria for major depression on the National Institute of Mental Health (NIMH) Diagnostic Interview Schedule (DIS) or scoring above 15 on the Center for Epidemiologic Studies Depression Scale (CES-D). Physical symptoms were assessed by an adapted Health Responses Scale. Other measures were developed specifically for the WMLHP. Of 465 women, 27 (5.8%) became clinically depressed between 1 and 4 months postpartum. In a logistic regression analysis, four variables (maternal age, depression during pregnancy, thoughts of death and dying at 1 month postpartum, and difficulty falling asleep at 1 month postpartum) were predictive of depression at 4 months postpartum. Breast-feeding, mode of delivery, family income, parity and mother‘s education did not predict depression. The existence of subsyndromal depressive symptoms, particularly thoughts of death and dying, may represent a prodromal phase of depression and should alert clinicians to the possibility of future postpartum depression. Women with a history of depression during pregnancy should be monitored for signs of postpartum depression for a minimum of 4 months. Obstetricians are in a unique position during the postpartum check-up to screen women for these predictors of future postpartum depression and possibly to avert the development of a clinically significant depressive episode.

Alcohol and body weight in United States adults.

Alcohol contributes more than 10 per cent of the total caloric intake of adult drinkers in the United States. However, the effect of alcohol on body weight has not been adequately studied in the general population. The association between weight and frequency of alcohol consumption was examined in two national cross-sectional surveys: the Second National Health and Nutrition Examination Survey (HANESII; n = 10,929) and the Behavioral Risk Factor Surveys (BRFS; n = 18,388). Linear multiple regression was used to estimate the independent effect of alcohol on weight, adjusting for smoking, age, diet practices, physical activity, race, education, and height. Among men, alcohol had only a slight effect on weight in either survey. However, among women, alcohol was associated with a substantial reduction in weight, which was as large as the effect of smoking. Compared with nondrinkers, women who consumed alcohol 7-13 times per week had the greatest reduction in weight: -3.6 kg (95% confidence limits [CL] = -5.6, -1.5 kg) in HANESII and -3.2 kg (95% CL = -4.9, -1.5 kg) in BRFS. Alcohol confounded the association between smoking and weight, and among women it accounted for nearly 45 per cent of the weight-lowering effect of smoking. Alcohol also diminished the weight-lowering effect of smoking in men, while in women the smoking effect was slightly enhanced. Further studies are needed to understand the causal mechanisms by which alcohol is associated with body weight.

Breast and cervical cancer screening in a low-income managed care sample: the efficacy of physician letters and phone calls.

A randomized trial was conducted to evaluate the combined impact of a physician reminder letter and a telephone contact on the use of Pap tests and mammograms in a low-income managed care program. Women 40 to 79 years of age who were past due for cancer screening were randomly assigned to an intervention or control group. Medical claims were reviewed after 6 months to determine intervention effectiveness. The odds of receiving all needed cancer screening tests during follow-up were four times higher in the intervention group. Women who reported having to take time off from work to see a doctor had lower odds of getting screened.

Geocoding addresses from a large population-based study: lessons learned.

Background Geographic information systems (GIS) and spatial statistics are useful for exploring the relation between geographic location and health. The ultimate usefulness of GIS depends on both completeness and accuracy of geocoding (the process of assigning study participants’ residences latitude/longitude coordinates that closely approximate their true locations, also known as address matching). The goal of this project was to develop an iterative geocoding process that would achieve a high match rate in a large population-based health study. Methods Data were from a study conducted in Wisconsin using mailing addresses of participants who were interviewed by telephone from 1988 to 1995. We standardized the addresses according to US Postal Service guidelines, used desktop GIS geocoding software and two versions of the Topologically Integrated Geographic Encoding and Referencing street maps, accessed Internet mapping engines for problematic addresses, and recontacted a small number of study participants’ households. We also tabulated the project’s cost, time commitment, software requirements, and brief notes for each step and their alternatives. Results Of the 14,804 participants, 97% were ultimately assigned latitude/longitude coordinates corresponding to their respective residences. The remaining 3% were geocoded to their zip code centroid. Conclusion The multiple methods described in this work provide practical information for investigators who are considering the use of GIS in their population health research.

Socioeconomic status and survival after an invasive breast cancer diagnosis.

Women who live in geographic areas with high poverty rates and low levels of education experience poorer survival after a breast cancer diagnosis than women who live in communities with indicators of high socioeconomic status (SES). However, very few studies have examined individual‐level SES in relation to breast cancer survival or have assessed the contextual role of community‐level SES independent of individual‐level SES.

The effect of state cigarette tax increases on cigarette sales, 1955 to 1988.

We evaluated the effect of state cigarette tax increases on cigarette sales in the 50 states for the years 1955 to 1988. State cigarette tax increases were associated with an average decline in cigarette consumption of three cigarette packs per capita (about 2.4%). Larger tax increases were associated with larger declines in consumption. Raising state cigarette taxes appears to be an effective public health intervention that can reduce cigarette consumption and its associated health consequences.

Cancer Information Sources Used by Patients to Inform and Influence Treatment Decisions

Previous research has indicated that treatment staff often underestimate the informational needs of cancer patients. In this study, the authors determined the total number of information sources obtained and used to influence treatment decisions, and the clinical and demographic factors associated with the use of specific sources of information in cancer patients. Participants were identified by the statewide cancer registry and diagnosed in 2004 with breast, colorectal, lung, or prostate cancer. A self-administered mailed questionnaire elicited cancer treatments, demographics, and information sources used to make treatment decisions. Of those surveyed, 1,784 (66%) participated and responded to all questions regarding information use. Over 69% of study participants reported obtaining information from a source other than the treatment staff. Significant predictors of using additional information sources included younger age, higher income, higher education, complementary and alternative medicine (CAM) use, and reporting shared decision making (all p values <.01). Participants with a college degree were more likely to use the Internet (OR 3.7; 95% CI 1.5–9.0) and scientific research reports (OR 3.3; 95% CI 1.6–6.9) to influence treatment decisions compared with those without a high school degree. Support group use to influence treatment decisions was not associated with socioeconomic variables but did vary by cancer type and CAM use. The sources of information study participants obtained and used to influence treatment decisions varied strongly by socioeconomic and demographic variables. These findings provide a deeper understanding of the information needs of cancer patients and have implications for dissemination strategies that can minimize disparities in access to cancer information.