Asian social psychology: Looking in and looking out

The present paper examines the role, status and development of Asian social psychology from four perspectives: (i) looking back; (ii) looking in; (iii) looking out; and (iv) looking forward. Looking back elaborates early attempts to 'add Asians' to social psychology and replicate classic social psychological research in Asian contexts. Looking in describes more sophisticated developments in Asian social psychology including the indigenization of theory, methods and measurements. Looking out critically examines the position of Asian social psychology in the international arena and discusses its impact on the discipline more broadly. Finally, looking forward makes some cautious predictions about the future of Asian social psychology in both regional and international spheres.     

The social epidemiologic concept of fundamental cause

The goal of research in social epidemiology is not simply conceptual clarification or theoretical understanding, but more importantly it is to contribute to, and enhance the health of populations (and so, too, the people who constitute those populations). Undoubtedly, understanding how various individual risk factors such as smoking and obesity affect the health of people does contribute to this goal. However, what is distinctive of much on-going work in social epidemiology is the view that analyses making use of individual-level variables is not enough. In the spirit of Durkheim and Weber, S. Leonard Syme makes this point by writing that just “as bad water and food may be harmful to our health, unhealthful forces in our society may be detrimental to our capacity to make choices and to form opinions” conducive to health and well-being. Advocates of upstream (distal) causes of adverse health outcomes propose to identify the most important of these “unhealthful forces” as the fundamental causes of adverse health outcomes. However, without a clear, theoretically precise and well-grounded understanding of the characteristics of fundamental causes, there is little hope in applying the statistical tools of the health sciences to hypotheses about fundamental causes, their outcomes, and policies intended to enhance the health of populations. This paper begins the process of characterizing the social epidemiological concept of fundamental cause in a theoretically respectable and robust way.

Health information processed under limited attention: is it better to be "hot" or "cool?".

INTRODUCTION: The attentional myopia model (T. Mann & A. Ward, 2004) posits that under conditions of limited attention, individuals will be disproportionately influenced by highly salient cues. The "hot/cool" model (J. Metcalfe & W. Mischel, 1999) suggests that cues designed to activate "hot" emotional systems will typically dominate attention and promote relevant behavior more than cues designed to activate "cool" cognitive systems. METHOD: While under conditions of high or low cognitive load, participants heard information regarding the use of a zinc supplement and reported their intentions to try it. In Study 1, cool message cues that promoted the use of zinc were more salient than hot cues that discouraged its use. In Study 2, hot cues that discouraged the use of zinc were more salient than cool cues that promoted its use. RESULTS: In both studies, the imposition of cognitive load increased the influence of salient cues, regardless of their motivational "temperature." CONCLUSIONS: Consistent with the attentional myopia model, either hot or cool health message cues can exert strong influence over individuals, depending on the relative salience of those cues.     

Demographic variables, smoking variables, and outcome across five studies.

OBJECTIVE: Intervention effectiveness can potentially be affected by membership in different demographic subgroups (race, ethnicity, gender, age, and education level) or smoking behavior variables (time to first cigarette, longest previous quit attempt, number of attempts in the past year, number of cigarettes, and stage of change). Previous research on these 2 sets of variables has produced mixed results. DESIGN: This secondary data analysis combined data from 5 effectiveness trials (a random-digit-dial sample [N=1,358], members of an HMO [N=207], parents of students recruited for a school-based study [N=347], patients from an insurance provider list [N=535], and employees [N=175]) in which smokers were all proactively recruited from a defined population and all received the same expert system intervention. The intervention produced a consistent 22% to 26% point prevalence cessation rate across the 5 studies. MAIN OUTCOME MEASURES: The main outcome measures were 24-hr point prevalence, 7-day point prevalence, 30-day prolonged abstinence, and 6-month prolonged abstinence. RESULTS: There were no significant differences in outcome across gender, race, and ethnicity subgroups. There were significant differences and small effect sizes for age and education subgroups. There were significant differences and large effect sizes for all 5 smoking behavior variables. DISCUSSION: Demographic variables are static variables, whereas the smoking variables are more dynamic, that is, open to change. Given the dynamic nature of the smoking variables and the large effect sizes, interventions tailored on the smoking variables should be more successful.     

Rated helpfulness and partner-reported smoking cessation support across the pregnancy-postpartum continuum.

Support interventions have not changed smoking cessation rates significantly. The pregnancy-postpartum continuum presents a unique opportunity to examine patterns of support. Expectant couples (N = 477) were surveyed twice during pregnancy and 3 times postpartum. Partners reported positive and negative smoking-specific support; women reported the helpfulness of partner support. Linear trends suggest that women viewed support as more helpful during pregnancy than during postpartum. Partners' provision of positive support across the continuum depended on their smoking; provision of negative support depended on women's smoking. Partners who smoked provided lower levels of both positive and negative support, especially postpartum. Women who smoked throughout the pregnancy perceived their partner's negative support as helpful. Implications are that partners who smoke may need help staying engaged in the support process. Partners may provide negative support in response to women's smoking cues. Women who are struggling with cessation may not view negative support as negative.