Accumulating burden: Exposure to interpersonal discrimination based on multiple attributes and allostatic load.

Exposure to interpersonal discrimination is an acute type of social stressor. Extant evidence suggests a positive association exists between experiencing interpersonal discrimination and physiological dysregulation measured by allostatic load. However, research to date has overlooked the role of exposure to interpersonal discrimination based on multiple attributes. This is an important oversight because individuals who confront discrimination often accredit the experiences to more than one attribute, which may be associated with increased stress and adverse physiological functioning. Using data from the Wave V biomarker subsample of the National Longitudinal Study of Adolescent to Adult Health (Add Health), I investigate the relationship between reports of interpersonal discrimination based on multiple attributes and allostatic load among adults ages 33-44. I also consider the roles of frequency of exposure to discrimination and perceived stress in this relationship through moderation and mediation analyses. Results reveal a positive association between the number of forms of discrimination that individuals report and allostatic load. However, frequency of exposure to discrimination does not moderate this association. Moreover, frequency of discrimination did not mediate the association between the number of forms of discrimination and perceived stress only marginally mediated it. This study offers novel and important insight into the role of exposure to more than one form of discrimination and allostatic load. Given that heightened allostatic load is a precursor to the development of chronic conditions and a strong risk factor for mortality, efforts to reduce discrimination among Americans adults will work to improve physical health.

The Mental "Weight" of Discrimination: The Relationship between Perceived Interpersonal Weight Discrimination and Suicidality in the United States.

Extant research has investigated the relationship between body weight and suicidality because obesity is highly stigmatized, leading to social marginalization and discrimination, yet has produced mixed results. Scholars have speculated that factors associated with body weight, such as weight discrimination, may better predict suicidality than body weight itself. We consider this possibility among a sample of 12,057 adult participants ages 33 to 43 in Wave V of the National Longitudinal Study of Adolescent to Adult Health through investigation of the relationships between weight discrimination and two dimensions of suicidality-suicide ideation and attempts. We also examine gender as a moderator of these relationships. We find that weight discrimination is positively associated with both suicide ideation and attempts, and this relationship is similar among men and women. Our findings underscore the need to address issues of weight discrimination in our society to better promote mental well-being.

Health, Suicidal Thoughts, and the Life Course: How Worsening Health Emerges as a Determinant of Suicide Ideation in Early Adulthood.

Poor physical health places adults at greater risk for suicide ideation. However, the linkage between health and suicidal thoughts may emerge and become established during early adulthood, concomitant with other social processes underlying suicidality. Using nationally representative survey data from Waves III through V of the National Longitudinal Study of Adolescent to Adult Health (n = 8,331), we examine the emergence of health as a predictor of suicide ideation across the early adult life course (ages 18-43). We find that worsening health does not significantly predict suicide ideation until young adults approach the transition into midlife. Our findings suggest this may be due to the increasing severity of health problems, reduced social network engagement, and disruption of social responsibilities later in early adulthood. Our findings underscore the need for social science research to examine the relationship between mental and physical health from a life course perspective.

The relationship between obesity and suicide ideation among young adults in the United States.

The prevalence of both obesity and suicide ideation has risen in the last several decades among young adults in the United States (U.S.). Obesity is highly stigmatized in the U.S. and leads to discrimination and societal rejection, which suggests that obesity may increase the risk of suicide ideation. However, no U.S. population-representative studies to date have investigated the relationship between body weight and suicide ideation among young adults. We make this contribution by analyzing data from Wave III of the National Longitudinal Study of Adolescent to Adult Health (Add Health). Our results indicate obesity is not related to suicide ideation among young men or young women and overweight young men have lower odds of suicide ideation than normal weight young men. We speculate that these findings may be attributable to the very high U.S. overweight and obesity prevalence, which has made obesity more common despite stigmatization.

Does context matter? A multilevel analysis of neighborhood disadvantage and children's sleep health.

OBJECTIVES: To determine how demographic, socioeconomic, and neighborhood characteristics are associated with bedtimes among US kindergarteners. DESIGN: Parents reported bedtimes of their children as well as personal, household, and residential characteristics via interviews in the Early Childhood Longitudinal Study-Kindergarten (ECLS-K) Class of 1998-1999. The ECLS-K links individual households to US Census tracts. SETTING: A random selection of 1,280 schools and surrounding communities in the US. PARTICIPANTS: A random selection of 16,936 kindergarteners and their parents. MEASUREMENTS: The 2 outcomes were regular and latest weekday bedtimes of kindergarteners. Through a series of nested multilevel regression models, these outcomes were regressed on individual- and neighborhood-level variables, including race/ethnicity, sex, family type, household income, mother's educational attainment, neighborhood disorder, and several additional neighborhood characteristics. RESULTS: Models showed significant (P < .05) bedtime disparities by race/ethnicity, sex, family income, and mother's educational attainment. Additionally, models tended to indicate that kindergarteners from disadvantaged neighborhoods experienced later bedtimes than children from more advantaged areas. Neighborhood characteristics accounted for a portion of racial/ethnic differences, suggesting that bedtime disparities are partly rooted in disparate environmental conditions. CONCLUSIONS: Reducing disparities in childhood sleep may require programs that target not only children and their parents, but also the communities in which they reside.