Deanne Weber

Compared to whom? Subjective social status, self-rated health, and referent group sensitivity in a diverse US sample

Emerging research has revealed that subjective social status (SSS), or how people perceive their position in the social hierarchy, is significantly associated with multiple health outcomes. Yet few studies have examined how this association is affected by the person or group to whom respondents are comparing themselves. While previous studies have used distal referent groups when assessing SSS, scholars have suggested that individuals may prefer to make comparisons to those who share similar characteristics to themselves. Overall, there has been little empirical analysis assessing the health impact of comparing oneself to one referent group over another. Using a diverse, national US sample (n=3644), this study explores whether the relationship between SSS and self-rated health is sensitive to the referent used for social comparison. Data are from respondents who completed the ConsumerStyles and HealthStyles mail surveys and who have assessed their SSS against four referents: others in American society, others of the same race or ethnicity, neighbors, and parents at the same age. Self-rated health was the dependent variable, while we controlled for household income, education, home ownership, race/ethnicity, and other covariates. In logistic regression models, SSS using each of the four referents was significantly associated with self-rated health, but the model using the referent of others in American society had the strongest association with self-rated health and was the most parsimonious. Findings validate previous studies which typically have used a more distal referent such as others in American society in exploring the SSS-health relationship. However, future work should explore whether this referent is salient to diverse population groups when making social comparisons. Researchers may also want to consider using SSS as an additional status measure since it may capture more subtle differences in the status hierarchy than traditional economic measures.

Understanding Consumers' Health Information Preferences: Development and Validation of a Brief Screening Instrument

The impact of health communication is generally enhanced when it is targeted or tailored to the needs of a specific population or individual. In a segmentation analysis of the U.S adult population—using data from 2,636 respondents to a mail panel survey—we identified four segments of the adult population that vary significantly with regard to health information preferences based on their degree of engagement in health enhancement, and their degree of independence in health decision making. We also created a brief (10 item), easy-to-administer screening instrument that indicates into which segment people fall. The purpose of this article is to describe the segments, and the screening instrument, and to present initial tests of its validity. We believe this instrument offers a practical tool for differentiating motivationally coherent subgroups of the adult population with regard to their health information preferences, and therefore may have practical value in improving health communication and health services provision efforts. Additional research is needed to further validate the tool and test its utility in guiding the creation of targeted health messages and programs.

Identifying Subgroups of U.S. Adults at Risk for Prolonged Television Viewing to Inform Program Development

BACKGROUND Although adverse health effects of prolonged TV viewing have been increasingly recognized, little population-wide information is available concerning subgroups at greatest risk for this behavior. PURPOSE This study sought to identify, in a U.S. population-derived sample, combinations of variables that defined subgroups with higher versus lower levels of usual TV-viewing time. METHODS A total of 5556 adults from a national consumer panel participated in the mail survey in 2001 (55% women, 71% white, 13% black, and 11% Hispanic). Nonparametric risk classification analyses were conducted in 2008. RESULTS Subgroups with the highest proportions of people watching >14 hours/week of TV were identified and described using a combination of demographic (i.e., lower household incomes, divorced/separated); health and mental health (i.e., poorer rated overall health, higher BMI, more depression); and behavioral (i.e., eating dinner in front of the TV, smoking, less physical activity) variables. The subgroup with the highest rates of TV viewing routinely ate dinner while watching TV and had lower income and poorer health. Prolonged TV viewing also was associated with perceived aspects of the neighborhood environment (i.e., heavy traffic and crime, lack of neighborhood lighting, and poor scenery). CONCLUSIONS The results can help inform intervention development in this increasingly important behavioral health area.

Subjective Social Status, a New Measure in Health Disparities Research Do Race/Ethnicity and Choice of Referent Group Matter?

Studies have shown subjective social status (SSS) is associated with multiple health outcomes. This article examines the predictors of SSS, whether these associations vary by race/ethnicity, and whether SSS is sensitive to different referents used for social comparison. Data were from a national US mail survey. Income was strongly associated with SSS only among Whites and Hispanics. While there were no SSS differences by race/ethnicity using a distal referent, Blacks had higher SSS than Whites when using more proximal referents, even after controlling for objective status indicators. Findings indicate SSS measurement may be sensitive to race/ethnicity and the comparison referent.

Psychosocial Correlates of Fruit and Vegetable Consumption among African American Men

OBJECTIVE To determine the best predictors of fruit and vegetable consumption among African American men age 35 years and older. DESIGN Data (n = 291) from a 2001 nationally representative mail survey commissioned by the American Cancer Society. PARTICIPANTS 291 African American men age 35 years and older. MAIN OUTCOME MEASURES DEPENDENT VARIABLES (1) total fruits and vegetables without fried potatoes, (2) total fruit with juice, and (3) total vegetables without fried potatoes. Independent variables included 3 blocks of predictors: (1) demographics, (2) a set of psychosocial scales, and (3) intent to change variables based on a theoretical algorithm. ANALYSIS Linear regression models; analysis of variance for the intent to change group. Alpha = .05. RESULTS Regression model for total fruits and vegetables, significant psychosocial predictors: social norms, benefits, tangible rewards, and barriers-other. Total fruit with juice: social norms, benefits, tangible rewards. Total vegetables, no fried potatoes: tangible rewards, barriers-other interests. CONCLUSIONS AND IMPLICATIONS For African American men, fruit consumption appears to be motivated by perceived benefits and standards set by important people in their lives; vegetable consumption is a function of extrinsic rewards and preferences for high-calorie, fatty foods. The results suggest that communications to increase fruit and vegetable consumption should be crafted to reflect differences in sources of motivation for eating fruits versus eating vegetables.

Validating a Health Consumer Segmentation Model: Behavioral and Attitudinal Differences in Disease Prevention-Related Practices

While researchers typically have segmented audiences by demographic or behavioral characteristics, psychobehavioral segmentation schemes may be more useful for developing targeted health information and programs. Previous research described a four segment psychobehavioral segmentation scheme—and a 10-item screening instrument used to identify the segments—based predominantly on peoples orientation to their health (active vs. passive) and their degree of independence in health care decision making (independent vs. dependent). This study builds on this prior research by assessing the screening instruments validity with an independent dataset and exploring whether people with distinct psychobehavioral orientations have different disease prevention attitudes and preferences for receiving information in the primary care setting. Data come from 1,650 respondents to a national mail panel survey. Using the screening instrument, respondents were segmented into four groups—independent actives, doctor-dependent actives, independent passives,and doctor-dependent passives. Consistent with the earlier research, there were clear differences in health-related attitudes and behaviors among the four segments. Members of three segments appear quite receptive to receiving disease prevention information and assistance from professionals in the primary care setting. Our findings provide further indication that the screening instrument and corresponding segmentation strategy may offer a simple, effective tool for targeting and tailoring information and other health programming to the unique characteristics of distinct audience segments.

Practicing What They Preach : Health Behaviors of Those Who Provide Health Advice to Extensive Social Networks

As a way of identifying a conduit to disseminate health information, this study aims to explore health behaviors and attitudes of a unique group of extensively socially-networked individuals who regularly are asked for their health advice. Respondents from a population-based consumer opinion panel (n = 2,639) were categorized as “extensively socially-networked” (75+ friends and acquaintances, and almost daily giving friends advice on general issues) vs. “non-networked.” The networked respondents were further divided into “health-networked” (regularly asked for health advice) versus “only-socially-networked” groups (asked for general advice, not health). Chi-square analyses, ANOVA tests, and multivariate regressions controlling for sociodemographic variables compared health behaviors and attitudes between groups. Results indicated that health-networked individuals reported more positive health behaviors (e.g., fruit and vegetable consumption) and attitudes than only-socially-networked and non-networked individuals. Future research is warranted to elucidate how providing health advice to a large network contributes to the positive health of health-networked individuals. Exploratory analyses revealed that doctors and health/fitness magazines were main sources of health and nutrition information for health-networked respondents. Through their advice and word-of-mouth, health-networked individuals have the potential to influence the health information of large groups of people and, therefore, may serve as valuable change agents to disseminate health and nutrition information.

Association Between Self-Reported Household Practices and Body Mass Index of US Children and Adolescents, 2005

Introduction Parents can set household practices that influence children’s behaviors. The objective of this study was to determine whether children (children and adolescents aged 9–18 y) who live in a household that has healthful practices related to behaviors associated with obesity have a lower body mass index (BMI). Methods We analyzed data from the 2005 Styles mail panel survey (N = 1,685 parents and children). We used multiple logistic regression to assess associations between 4 household practices and 3 children’s behaviors: watching television, participating in vigorous physical activity, and purchasing sodas and snacks at school. Results Children watched more television if they had a television in their bedrooms, were less active as a family, and had no junk food restrictions at home. Children in less active families participated in about half as much VPA as children in more active families. Children purchased more sodas and snacks at school if they had a television in their bedrooms and their family consumed more meals at fast-food restaurants. Children whose families were less active were more likely to have a self-reported BMI at or above the 85th percentile. In addition, children who watched more television were more likely to have a self-reported BMI at or above the 85th percentile. Conclusion Household practices were associated with children’s behaviors and self-reported BMI. A household profile that includes being active as a family may counteract the increase in childhood obesity.