Social Determinants of Change in Smoking Status over a 26-Year Follow up Period among Middle-Aged and Older Americans

Educational attainment and income are among major socioeconomic status (SES) indicators that are inversely associated with cigarette smoking. Marginalization-related Diminished Returns (MDRs), however, are weaker protective effects of SES indicators for racial and ethnic minority groups compared to non-Hispanic White people. The aim is to test whether racial and ethnic differences exist in the effects of educational attainment and income on cigarette smoking of middle-aged and older American adults. This is a 26-year longitudinal study using data from the Health and Retirement Study (HRS), a nationally representative study of middle-aged and older adults in the US. A total number of 11,316 middle-aged and older adults (age ≥ 50) were followed for up to 26 years. The independent variables were educational attainment and income. The dependent variables were always smoking and being quitters over the follow-up time. Age, gender, self-rated health, and chronic medical conditions were the covariates. Race/ethnicity was the moderator. Logistic regressions were used to analyze the data. Most participants were never smokers (n = 7950), followed by quitters (n = 1765), always smokers (n = 1272), and initiators (n = 329). Overall, high educational attainment (OR = 0.92, 95% CI = 0.90 - 0.95) and income (OR = 0.99, 95% CI = 0.99 - 0.99) reduced the odds of being always smoker. High educational attainment (OR = 1.05, 95% CI = 1.02 - 1.08) was associated with higher odds of being a quitter. Ethnicity, however, showed significant interactions with education on both outcomes suggesting that the effects of educational attainment on reducing the odds of always being a smoker (OR = 1.24, 95% CI = 1.14 - 1.35) and increasing the odds of quitting (OR = 0.84, 95% CI = 0.75 - 0.93) were smaller for Hispanics than non-Hispanics. In the United States, middle-aged and older Hispanic adults remain at high risk of smoking cigarettes despite high educational attainment. That is, high educational attainment may better help non-Hispanic than Hispanic middle-aged and older adults to avoid cigarette smoking. As a result, we may observe a more than expected burden of tobacco use in middle class Hispanic middle-aged and older adults. Policymakers should not reduce racial and ethnic tobacco inequalities to SES gap, as ethnic tobacco disparities may persist in high SES levels as well.

The patients’ opinion on the use of information technologies at the Seskine Outpatient Clinic and “Centro poliklinika” Outpatient Clinic of the city of Vilnius according to the age of patients

Objectives: The objective of this study is to assess patients’ opinion of the information technologies (IT) electronic registration systems at the “Centro poliklinika” and Seskine outpatient clinics in Vilnius City. Material and Methods: The survey was conducted in May-June, 2012. In the course of the primary survey, one questionnaire was handed out to one in tenth of the newly arrived patients. Total number of 650 questionnaires was distributed. 563 respondents participated in the survey (feedback rate—86.6%). Statistical analysis of data was performed by means of personal computer using SPSS software package. Results: 54.7% of respondents state that they make use of the possibility of online registration with the family doctor. 85.05% of respondents indicate that a doctor, when making the next appointment or referring to the medical specialist, registers a patient on site by means of computer. Upon arrival of a respondent to the reception desk of the medical establishment, 90.3% of respondents are registered by means of computer. 72.4% of respondents say that they have a choice to telephone and inquire about the time of visit if they have forgotten the visit time or lost the appointment sheet. Majority of respondents using the online registration option belong to the age group between 21 and 40 years—35.3%. Conclusions: Answers by the respondents and the breakdown between “Centro poliklinika” and Seskine outpatient clinics are very similar and no essential differences have been determined.

Multivariate normal spatial scan statistic for detecting the most severe cluster of a disease

This paper focuses on the problem of detecting the geographical cluster with the most severe status in multiple groups of population given limited medical resources.Populations are grouped based on characteristics such as age,gender,and race.In the early stages of a disease,an outbreak may only present in specific population groups.Therefore,to efficiently detect the outbreak,we are particularly interested in monitoring and evaluating such groups.We define the objective of detection as the most severe cluster(MSC).Taking into account the interactions between population groups,a multivariate normal scan statistic is proposed to simultaneously determine the location and size of a significant MSC,as well as the specific population groups in which the MSC is located.The proposed method is applied to an example of lung cancer in New York State,where the MSC with the highest mortality rate at the aggregate level is detected.Further,the detection capacity of this method is evaluated using a simulation study based on the lung cancer example.