Sally H. Adams

Psychobiologic reactivity to stress and childhood respiratory illnesses: results of two prospective studies.

Psychological stress is thought to undermine host resistance to infection through neuroendocrine-mediated changes in immune competence. Associations between stress and infection have been modest in magnitude, however, suggesting individual variability in stress response. We therefore studied environmental stressors, psychobiologic reactivity to stress, and respiratory illness incidence in two studies of 236 preschool children. In Study 1, 137 3- to 5-year-old children from four childcare centers underwent a laboratory-based assessment of cardiovascular reactivity (changes in heart rate and mean arterial pressure) during a series of developmentally challenging tasks. Environmental stress was evaluated with two measures of stressors in the childcare setting. The incidence of respiratory illnesses was ascertained over 6 months using weekly respiratory tract examinations by a nurse. In Study 2, 99 5-year-old children were assessed for immune reactivity (changes in CD4+, CD8+, and CD19+ cell numbers, lymphocyte mitogenesis, and antibody response to pneumococcal vaccine) during the normative stressor of entering school. Blood for immune measures was sampled 1 week before and after kindergarten entry. Environmental stress was indexed with parent reports of family stressors, and a 12-week respiratory illness incidence was measured with biweekly, parent-completed symptom checklists. The two studies produced remarkably similar findings. Although environmental stress was not independently associated with respiratory illnesses in either study, the incidence of illness was related to an interaction between childcare stress and mean arterial pressure reactivity (beta =.35, p <.05) in Study 1 and to an interaction between stressful life events and CD19+ reactivity (beta =.51, p <.05) in Study 2. In both studies, reactive children sustained higher illness rates under high-stress conditions, but lower rates in low-stress conditions, compared with less reactive peers. Stress was associated with increased rates of illnesses, but only among psychobiologically reactive children. Less reactive children experienced no escalation in illness incidence under stressful conditions, suggesting that only a subset of individuals may be susceptible to the health-altering effects of stressors and adversity.

Trends in Adolescent and Young Adult Health in the United States

This review presents a national health profile of adolescents and young adults (ages 10-24). The data presented include trends on demographics, mortality, health-related behaviors, and healthcare access and utilization, as well as the most significant gender and racial/ethnic disparities. Although the data show some improvement, many concerns remain. Encouraging trends-such as decreases in rates of homicide, suicide, and some measures of reproductive health-appear to be leveling off or, in some cases, reversing (e.g., birth and gonorrhea rates). Large disparities, particularly by race/ethnicity and gender, persist in many areas. Access to quality healthcare services remains a challenge, especially during young adulthood. Policy and research recommendations to improve health during these critical periods in the lifespan are outlined.

Preventive Care for Adolescents: Few Get Visits and Fewer Get Services

OBJECTIVE. Professional guidelines for adolescents recommend annual preventive visits with screening and anticipatory guidance for health-related behaviors. The objective of this study was to examine receipt of preventive services, including disparities in services received, by using a nationally representative sample of adolescents. METHODS. Using data from the 2001–2004 Medical Expenditure Panel Survey (ages 10–17; N = 8464), we examined receipt of preventive care visits and several measures of the content of care, based on caregivers reports, among adolescents who received a preventive care visit during the past 12 months. Content of care outcomes included physical parameters measurement (height, weight, and blood pressure); receipt of anticipatory guidance (dental care, seat belts, helmets, exercise, healthy eating, and secondhand smoke exposure); and, for 12- to 17-year-olds, whether adolescents had time alone with their provider during their most recent visit, a proxy for confidential services. We conducted logistic regression analyses to test for disparities in the outcomes on the basis of race/ethnicity, income, and insurance status. RESULTS. Thirty-eight percent of adolescents had a preventive care visit in the previous 12 months. Low-income and full-year uninsured status were associated with higher risk for not receiving this visit. Most adolescents had height (87%), weight (89%), and blood pressure (78%) assessed. Rates for height and weight were lower in poor and uninsured adolescents. Anticipatory guidance rates were much lower, ranging from 31% for seat belts, helmets, and secondhand smoke to 49% for healthy eating. Only 10% had all 6 areas addressed. Multivariate analyses yielded few disparities in receipt of anticipatory guidance. Forty percent had time alone with their providers. Hispanic and the lowest-income adolescents were the least likely to have time alone. CONCLUSIONS. Few adolescents received a preventive visit; among those who received this visit, provision of recommended anticipatory guidance was very low. Strategies are required to improve delivery of recommended preventive services to adolescents.

Adolescent and Young Adult Health in the United States in the Past Decade: Little Improvement and Young Adults Remain Worse Off Than Adolescents

Adolescence and young adulthood are unique developmental periods that present opportunities and challenges for improving health. Health at this age can affect health throughout the lifespan. This review has two aims: (1) to examine trends in key indicators in outcomes, behaviors, and health care over the past decade for U.S. adolescents and young adults; and (2) to compare U.S. adolescents and young adults on these indicators. The review also assesses sociodemographic differences in trends and current indicators. Guided by our aims, previous reviews, and national priorities, the present review identified 21 sources of nationally representative data to examine trends in 53 areas and comparisons of adolescents and young adults in 42 areas. Most health and health care indicators have changed little over the past decade. Encouraging exceptions were found for adolescents and young adults in unintentional injury, assault, and tobacco use, and, for adolescents, in sexual/reproductive health. Trends in violence and chronic disease and related behaviors were mixed. Review of current indicators demonstrates that young adulthood continues to entail greater risk and worse outcomes than adolescence. Young adults fared worse on about two-thirds of the indicators examined. Differences among sociodemographic subgroups persisted for both trends and current indicators.

Adrenocortical and Behavioral Predictors of Immune Responses to Starting School

ABSTRACT: Associations between major psychologic stressors and immune function have been documented in previous research, but few studies have investigated immune changes attending minor, normative stressors. This study examined adrenocortical and behavioral predictors of immune responses to starting kindergarten in 39 five-year-old children, who completed laboratory visits for venipunctures 1 wk before (time 1) and 1 wk after (time 2) school entry. At time 1, children were also immunized with pneumococcal vaccine. Immune responses were measured as change scores for T (CD4+ and CD8+) cells, B (CD19+) cells, lymphoproliferative responses to pokeweed mitogen (PWM), and type-specific pneumococcal antibody responses (ABR). Adrenocortical response was assessed as the change in salivary cortisol level, and behavioral difficulty with school adjustment was scored using parental ratings of behavior problems, stress due to changes in routines, and degree of adaptive challenge. Salivary cortisol rose after kindergarten entry (means = 0.39 ± 0.28 to 0.49 ± 0.36 μg/dL, p = 0.03) and was unrelated to behavioral difficulties. CD4+ cells increased in number, whereas PWM declined, and CD19+ cells showed a borderline increase. Change in salivary cortisol was positively associated with change in CD19+ (ΔCD19+) and inversely related to ABR. Scores for behavioral difficulty were inversely associated with ΔCD4+ and ΔCD19+. These data suggest that: 1) school entry is a stressor capable of evoking elevations in cortisol and behavior problems, accompanied by shifts in functional and enumerative measures of immune status; and 2) children with greater adrenocortical reactivity have increases in B cell numbers and less effective B cell-mediated antibody production, whereas children with more behavioral difficulties show declines in all T and B cell subsets.

Health insurance across vulnerable ages: patterns and disparities from adolescence to the early 30s.

OBJECTIVE. Young adults have the lowest rate of insurance coverage of any age group. Little is known about insurance patterns from adolescence through the early 30s. The objective of this study was to assess patterns and disparities in health insurance from adolescence through the early 30s. DESIGN. We analyzed data from the 2002 and 2003 National Health Interview Survey (ages 13–32; N = 48827). We examined public and private insurance coverage and conducted logistic regression to evaluate racial/ethnic and income disparities in coverage. Outcomes were insurance coverage at ages 13 to 32. RESULTS. Insurance patterns follow a U-shaped curve across the age categories. Rates are highest at ages 13 to 14, lowest at ages 23 to 24, and then increase gradually. Private rate patterns are similar; however, public coverage decreases across ages. In bivariate analyses, black and Hispanic groups had lower coverage rates than the white group, and the low- and middle-income groups had lower rates than the high-income group. After adjustment for confounding variables, all disparities remained significant except for differences between the black and white groups. CONCLUSIONS. After age 18, all groups are vulnerable to lack of insurance. Rate increases beyond age 25 to 26 years are attributable to increases in private coverage, whereas decreases in public coverage account for the lack of a full recovery to the higher rates seen in adolescence. The safety net of public programs that cover adolescents disappears in young adulthood, leaving young adults vulnerable, a problem that persists into the 30s for those who are in poverty and those who are of Hispanic origin.

Giving Policy Some Teeth: Routes To Reducing Disparities In Oral Health

Despite improvements in oral health status and clear links between oral and systemic health, oral health is not accorded the same importance in health care policy as is general health. This review of oral health disparities over the life span documents the results of this inequity. Dental concerns and unmet dental treatment needs, especially among vulnerable populations, are not well addressed in oral health policies. We offer examples of discrepancies between policy and needs and examples of successful interventions that integrate oral health care with informed policy.

Receipt of Preventive Health Services in Young Adults

PURPOSE To examine self-reported rates and disparities in delivery of preventive services to young adults. METHODS A population-based cross-sectional analysis, of 3,670 and 3,621 young adults aged 18-26 years who responded to California Health Interview Survey (CHIS) in 2005 and CHIS 2007, respectively. The main outcome measures were self-reported receipt of flu vaccination, sexually transmitted disease (STD) screening, cholesterol screening, diet counseling, exercise counseling, and emotional health screening. Multivariate logistic regression was used to examine how age, gender, race/ethnicity, income, insurance, and usual source of care influence the receipt of preventive services. RESULTS Delivery rates ranged from 16.7% (flu vaccine) to 50.6% (cholesterol screening). Being female and having a usual source of care significantly increased receipt of services, with female participants more likely to receive STD screening (p < .001), cholesterol screening (p < .01), emotional health screening (p < .001), diet counseling (p < .01), and exercise counseling (p < .05) than male participants after controlling for age, race/ethnicity, income, insurance, and usual source of care. Young adults with a usual source of care were more likely to receive a flu vaccine (p < .05), STD screening (p < .01), cholesterol screening (p < .001), diet counseling (p < .05), and exercise counseling (p < .05) than those without a usual source of care after adjusting for age, race/ethnicity, income, and insurance. CONCLUSIONS Rates of preventive services delivery are generally low. Greater efforts are needed to develop guidelines for young adults to increase the delivery of preventive care to this age-group, and to address the gender and ethnic/racial disparities in preventive services delivery.

Does Delivering Preventive Services in Primary Care Reduce Adolescent Risky Behavior

PURPOSE To determine whether the delivery of preventive services changes adolescent behavior. This exploratory study examined the trajectory of risk behavior among adolescents receiving care in three pediatric clinics, in which a preventive services intervention was delivered during well visits. METHODS The intervention consisted of screening and brief counseling from a provider, followed by a health educator visit. At age 14 (year 1), 904 adolescents had a risk assessment and intervention, followed by a risk assessment 1 year later at age 15 (year 2). Outcomes were changes in adolescent behavior related to seat belt and helmet use; tobacco, alcohol, and drug use; and sexual behavior. Analysis involved age-related comparisons between the intervention and several cross-sectional comparison samples from the age of 14-15 years. RESULTS The change in helmet use in the intervention sample was 100% higher (p < .05), and the change in seat belt use among males was 50% higher (p = .14); the change in smoking among males was 54% lower (p < .10), in alcohol use was no different, and in drug use was 10% higher (not significant [NS]); and the change in rate of sexual intercourse was 18% and 22% lower than cohort comparison samples (NS). CONCLUSIONS The intervention had the strongest effect in the area of helmet use, shows promise for increasing seat belt use and reducing smoking among male adolescents, and indicates a nonsignificant trend toward delaying the onset of sexual activity. Participation in the intervention seemed to have no effect on the rates of experimentation with alcohol and drugs between the ages of 14 and 15 years.

Who Gets Confidential Care? Disparities in a National Sample of Adolescents

Using the 2001-2004 Medical Expenditures Panel Survey, we examined rates of past-year adolescent time alone with a clinician by visit type, and among youths with a preventive visit, examined age, gender, and race/ethnicity differences. Youths with a preventive visit have higher rates of time alone; rates for these youths increase with age, are higher for males (42%) versus females (37%), and are lowest among Hispanics. Time alone rates are low, especially for younger females and Hispanic youths. Special efforts are needed to increase time alone in these populations.