The Use of Capacity as an Indicator of Automatic Processing: Is Smoking Automatic?

It has been suggested that substance use transitions from a controlled to an automatic process (Tiffany, 1990). In particular, smoking has been found to appear automatic (Baxter & Hinson, 2001). Experienced smokers were able to attend to a reaction time task with minimal interference while smoking. Novice smokers’ performances were impaired when smoking. These results were based on differences in mean reaction times using analysis of variance. Another analytic approach to test the hypothesis that smoking is an automatic process is through the use of capacity coefficients and ratios. These mathematical tools allow for the direct testing of mental processing. The goal of the current study was to use these capacity measures to investigate whether smoking taxed capacity, and whether results from this type of analysis differed from a traditional ANOVA. Also, capacity ratios were compared between smokers with different patterns of alcohol and cigarette co-use. There is a well established relationship between alcohol and cigarette use, and alcohol use itself may have an impact on smoking behaviour. Capacity ratios indicated that smoking does tax capacity, even in daily smokers. It was also found through the use of a pseudosmoking condition, in which the smoking behaviour had to be ceased partway, that the inhalation of smoke seems to require its own cognitive processing. When these results were compared to a traditional ANOVA, it was found that measures of capacity provided additional information. When smokers were grouped based on cigarette and alcohol co-use, results supported the hypothesis that smokers who frequently coupled cigarettes and alcohol were impaired in processing in comparison to less frequent couplers

The influence of depression on risk development of acute cardiovascular diseases in the female population aged 25–64 in Russia

Background. Recent studies showed that depression was an independent predictor of mortality from cardio-vascular disease in healthy women. Objective. To explore the effect of depression (D) on relative risk (RR) of myocardial infarction (MI) and stroke for 16 years (1995–2010) in the female population aged 25–64 years from Novosibirsk, Russia. Materials and methods. Under the third screening of the WHO “MONICA-psychosocial” (MOPSY) programme, a cohort of women aged 25–64 years (N=560) was surveyed. Women were followed for 16 years for the incidence of MI and stroke (1995–2010). D was measured at the baseline examination by means of test “MOPSY”. Participants having stroke, MI, arterial hypertension, coronary artery diseases and diabetes in their medical history at the baseline were excluded from this analysis. Results. The prevalence of D in women aged 25–64 years was 55.2%. With the growth of D levels, positive self-rated health reduced and almost 100% of those women have complaints about their health, but considered the care of their health insufficient. Women with major D significantly extended negative behavioural habits: smoking and unsuccessful attempts to give up, low physical activity, and less likely to follow a diet (healthy food). Major D associated with high job strain and family stress. Relative risk (RR) of MI development in women with D during 16 years of study was higher in 2.53 cases (p<0.05) and risk of stroke was higher in 4.63 cases (p<0.05). Conclusions. The prevalence of D in women aged 25–64 years was >50%. Women with D had a 2.53-fold risk of MI and 4.63-fold risk of stroke during the 16 years of follow-up