Are Recent Cohorts Getting Worse? Trends in US Adult Physiological Status, Mental Health, and Health Behaviors Across a Century of Birth Cohorts

Morbidity and mortality have been increasing among middle-aged and young-old Americans since the turn of the century. We investigated whether these unfavorable trends extend to younger cohorts and their underlying physiological, psychological, and behavioral mechanisms. Applying generalized linear mixed-effects models to data from 62,833 adults from the National Health and Nutrition Examination Surveys (1988-2016) and 625,221 adults from the National Health Interview Surveys (1997-2018), we found that for all sex and racial groups, physiological dysregulation has increased continuously from Baby Boomers through late-Generation X and Generation Y. The magnitude of the increase was higher for White men than for other groups, while Black men had a steepest increase in low urinary albumin (a marker of chronic inflammation). In addition, Whites underwent distinctive increases in anxiety, depression, and heavy drinking, and they had a higher level than Blacks and Hispanics of smoking and drug use in recent cohorts. Smoking is not responsible for the increasing physiological dysregulation across cohorts. The obesity epidemic contributes to the increase in metabolic syndrome but not in low urinary albumin. The worsening physiological and mental health profiles among younger generations imply a challenging morbidity and mortality prospect for the United States, one that might be particularly inauspicious for Whites.

Infant Feeding Practices During the First Postnatal Year and Risk of Asthma and Allergic Disease During the First 6 Years of Life

Background: Breastfeeding may protect against childhood asthma and allergic diseases. Studies have not focused on the mode of feeding human milk and followed children to school age although feeding human milk from a bottle rather than the breast may alter the risk of disease. Materials and Methods: At 12 months' postpartum, women in the Moms2Moms study (Columbus, OH) completed a survey assessing sociodemographic and infant feeding behaviors. At 6 years' postpartum, they completed a survey and pediatric medical records were abstracted to assess asthma and allergic disease diagnoses. Logistic regression models were used to estimate associations between infant feeding behaviors and asthma or allergic disease. Results: Of 285 children, 16% had asthma and 44% ever had ≥1 allergy diagnosis. Longer durations of each infant feeding behavior were not clearly associated with increased odds of asthma or allergic disease by age 6. Results suggested that longer durations of breast milk feeding (regardless of the mode of feeding) may be related to a lower risk of food allergy (e.g., odds ratio [OR]1-month, adjusted = 0.96, 95% confidence interval [CI] = 0.87-1.05; OR12-month, adjusted = 0.57, 95% CI = 0.19-1.74), but that the mode of feeding (regardless of the substance fed) may be more meaningful for environmental allergies (e.g., exclusive direct breast milk feeding OR12-month, adjusted = 0.32, 95% CI = 0.06-1.81). However, effect estimates were imprecise and CIs included the null. Conclusions: Although no clear associations between mode of breast milk feeding (breast versus expressed) and asthma and allergy outcomes were observed, future research with larger samples should further evaluate these associations.

Feeding Infants at the Breast or Feeding Expressed Human Milk: Long-Term Cognitive, Executive Function, and Eating Behavior Outcomes at Age 6 Years

OBJECTIVE

To examine how expressed milk feeding diverges from feeding at the breast in its association with neurodevelopment and behavior. We hypothesized that longer and exclusive feeding at the breast only (ie, no formula, no feeding expressed milk) would be associated with the optimal cognitive developmental, executive function, and eating behaviors and that expressed milk feeding would be associated with less-optimal outcomes.

STUDY DESIGN

The Moms2Moms cohort (Ohio, US) reported infant feeding practices at 12 months postpartum and children's global cognitive ability, executive function, and eating behaviors at 6 years. Linear and log-binomial regression models estimated associations with durations of feeding at the breast, expressed milk, human milk (modes combined), and formula.

RESULTS

Among 285 participants, each month of exclusive feeding at the breast only was associated with a decreased risk of clinically meaningful executive function (working memory) deficit (adjusted relative risk [RR] 0.78, 95% CI 0.63-0.96) but was unassociated with inhibition (adjusted RR 0.92, 95% CI 0.85-1.01). Feeding expressed milk was not clearly related to executive function outcomes. No associations with global cognitive ability were observed. Weak associations were observed with eating behaviors for some feeding practices.

CONCLUSIONS

Feeding at the breast may offer advantages to some aspects of executive function that expressed milk may not. Large, prospective studies exploring mechanisms could further distinguish the effect of feeding mode from that of nutrients.

Life-long body mass index trajectories and mortality in two generations

PURPOSE

To identify life-long body mass index (BMI) trajectories across two related generations and estimate their associated mortality risks and population attributable deaths.

METHODS

We use prospective cohort data from the Framingham Heart Study (1948-2011) original (4576 individuals, 3913 deaths) and offspring (3753 individuals, 967 deaths) cohorts and latent trajectory models to model BMI trajectories from age 31 to 80 years. Survival models are used to estimate trajectory-specific mortality risk.

RESULTS

We define seven BMI trajectories among original cohort and six among offspring cohort. Among original cohort, people who are normal weight at age 31 years and gradually move to overweight status in middle or later adulthood have the lowest mortality risk even compared to those who maintain normal weight throughout adulthood, followed by overweight stable, lower level of normal weight, overweight downward, class I obese upward, and class II/III upward trajectories. Mortality risks associated with obesity trajectories have declined across cohorts, while the prevalence of high-risk trajectories has increased.

CONCLUSIONS

The mortality impact of weight gain depends on an individual's BMI trajectory. Population attributable deaths associated with unhealthy weight trajectories have grown over generations because the prevalence has increased, offsetting the decline in trajectory-specific mortality risks.

Obesity-mortality link over the life course: the contribution of population compositional changes

A key uncertainty in the obesity-mortality association continues to be how this association changes over the life course. Prior studies tend to rely on cross-sectional design with static weight status taken at the time of the survey. This study tracks a cohort of individuals and employs lifelong body mass index information from the Framingham Heart Study original cohort (1948-2010). We focus on respondents who were younger than age 45 at time of their first survey (n = 2,176) and evaluate how the mortality risk associated with obesity changes over three age groups (below 45, 45-59, and 60 and above) and how population compositions may contribute to this pattern. We find the hazard ratio associated with obesity compared to normal weight decreases over three age groups, but this pattern is influenced by different ages of onset of obesity, inconsistency in the reference group (normal weight) over ages, and mortality selection effects. These factors explain away the decreasing effect of obesity (with onset before age 45) on mortality up to age 60; after age 60, the detrimental effect still declines, but to a much less degree. Later onset of obesity, however, is not significantly associated with excess mortality risks after age 60.

Recent trends in US mortality in early and middle adulthood: racial/ethnic disparities in inter-cohort patterns

BACKGROUND

A striking increase in the all-cause mortality of US middle-aged non-Hispanic Whites in the past two decades has been documented by previous studies. The inter-cohort patterns in US mortality, as well as their racial/ethnic disparities, are still unclear.

METHODS

Using official mortality data, we study US annual mortality rates for ages 25-54 from 1990 to 2016 by gender and race/ethnicity. We conduct an age-period-cohort analysis to disentangle the period and cohort forces driving the absolute changes in mortality across cohorts. Nine leading causes of death are also explored to explain the inter-cohort mortality patterns and their racial/ethnic disparities.

RESULTS

We find cohort-specific elevated mortality trends for gender- and race/ethnicity-specific populations. For non-Hispanic Blacks and Hispanics, Baby Boomers have increased mortality trends compared with other cohorts. For non-Hispanic White females, it is late-Gen Xers and early-Gen Yers for whom the mortality trends are higher than other cohorts. For non-Hispanic White males, the elevated mortality pattern is found for Baby Boomers, late-Gen Xers, and early-Gen Yers. The mortality pattern among Baby Boomers is at least partially driven by mortality related to drug poisoning, suicide, external causes, chronic obstructive pulmonary disease and HIV/AIDS for all race and gender groups affected. The elevated mortality patterns among late-Gen Xers and early-Gen Yers are at least partially driven by mortality related to drug poisonings and alcohol-related diseases for non-Hispanic Whites. Differential patterns of drug poisoning-related mortality play an important role in the racial/ethnic disparities in these mortality patterns.

CONCLUSIONS

We find substantial racial/ethnic disparities in inter-cohort mortality patterns. Our findings also point to the unique challenges faced by younger generations.

A simulation study of the role of cohort forces in mortality patterns

This study uses the micro-simulation method to investigate the role of cohort forces in age-dependent mortality pattern. We test the micro mechanisms for cohort evolution and mortality selection, and how these two biological and demographic forces may interact with epidemiologic transition to shape the cohort age-dependence of mortality pattern in both early- and later-transition countries. We show that cohort evolution is due to the declining rate of mortality acceleration at the individual level, which is associated with lower initial mortality rates but not smaller variance of frailty distribution in later birth cohorts. The steeper slope of mortality acceleration at the population level among later birth cohorts is due to mortality selection mechanism associated with smaller variance of frailty distribution but not lower initial mortality rates. These two forces jointly shape the non-crossover cohort age-dependence of mortality pattern regardless of the differential mechanisms of epidemiologic transition in early- and later-transition countries.

Is BMI a valid measure of obesity in postmenopausal women?

OBJECTIVE

Body mass index (BMI) is a widely used indicator of obesity status in clinical settings and population health research. However, there are concerns about the validity of BMI as a measure of obesity in postmenopausal women. Unlike BMI, which is an indirect measure of obesity and does not distinguish lean from fat mass, dual-energy x-ray absorptiometry (DXA) provides a direct measure of body fat and is considered a gold standard of adiposity measurement. The goal of this study is to examine the validity of using BMI to identify obesity in postmenopausal women relative to total body fat percent measured by DXA scan.

METHODS

Data from 1,329 postmenopausal women participating in the Buffalo OsteoPerio Study were used in this analysis. At baseline, women ranged in age from 53 to 85 years. Obesity was defined as BMI ≥ 30 kg/m and body fat percent (BF%) greater than 35%, 38%, or 40%. We calculated sensitivity, specificity, positive predictive value, and negative predictive value to evaluate the validity of BMI-defined obesity relative BF%. We further explored the validity of BMI relative to BF% using graphical tools, such as scatterplots and receiver-operating characteristic curves. Youden's J index was used to determine the empirical optimal BMI cut-point for each level of BF% defined obesity.

RESULTS

The sensitivity of BMI-defined obesity was 32.4% for 35% body fat, 44.6% for 38% body fat, and 55.2% for 40% body fat. Corresponding specificity values were 99.3%, 97.1%, and 94.6%, respectively. The empirical optimal BMI cut-point to define obesity is 24.9 kg/m for 35% BF, 26.49 kg/m for 38% BF, and 27.05 kg/m for 40% BF according to the Youden's index.

CONCLUSIONS

Results demonstrate that a BMI cut-point of 30 kg/m does not appear to be an appropriate indicator of true obesity status in postmenopausal women. Empirical estimates of the validity of BMI from this study may be used by other investigators to account for BMI-related misclassification in older women.

The role of obesity in exceptionally slow US mortality improvement

Recent studies have described a reduction in the rate of improvement in American mortality. The pace of improvement is also slow by international standards. This paper attempts to identify the extent to which rising body mass index (BMI) is responsible for reductions in the rate of mortality improvement in the United States. The data for this study were obtained from subsequent cohorts of the National Health and Nutrition Examination Survey (NHANES III, 1988-1994; NHANES continuous, 1999-2010) and from the NHANES linked mortality files, which include follow-up into death records through December 2011. The role of BMI was estimated using Cox models comparing mortality trends in the presence and absence of adjustment for maximum lifetime BMI (Max BMI). Introducing Max BMI into a Cox model controlling for age and sex raised the annual rate of mortality decline by 0.54% (95% confidence interval 0.45-0.64%). Results were robust to the inclusion of other variables in the model, to differences in how Max BMI was measured, and to how trends were evaluated. The effect of rising Max BMI is large relative to international mortality trends and to alternative mortality futures simulated by the Social Security Administration. The increase in Max BMI over the period 1988-2011 is estimated to have reduced life expectancy at age 40 by 0.9 years in 2011 (95% confidence interval 0.7-1.1 years) and accounted for 186,000 excess deaths that year. Rising levels of BMI have prevented the United States from enjoying the full benefits of factors working to improve mortality.

Cognitive Testing of the Brief Breastfeeding and Milk Expression Recall Survey

BACKGROUND

Major U.S. federal maternal and child health surveys collect an infant feeding history for children under 6 years of age using survey questions that have changed little over decades. Yet, infant feeding and lactation practices have changed with the increasing popularity of milk expression (pumping).

SUBJECTS AND METHODS

Cognitive interviews were conducted to test the 9-item Brief Breastfeeding and Milk Expression Recall Survey (BaByMERS) with a diverse sample of 15 U.S. mothers of children 1-5 years of age. A 42-item coding scheme was applied to identify interviewer and respondent problems in fielding and answering the questions. Problems were examined in relation to demographics and infant feeding and lactation history.

RESULTS

The extent of problems was modest. Of 42 possible problem codes, only 9 were identified as actual problems for one or more respondents on one or more questions. The most common problems involved uncertainty about the timing of when one started expressing milk, making a mental shift to realize that maternal milk expression and the child's consumption of that milk could be distinct concepts, and difficulty with certain terms or phrases. Problems tended to arise among mothers with more complex infant feeding or lactation histories, who also tended to be those with higher levels of education.

CONCLUSIONS

BaByMERS is a promising, brief tool for collecting a recalled infant feeding or lactation history among mothers with young children. Future research can evaluate additional characteristics of the tool to further confirm its utility for large epidemiological studies of maternal and child health.

Why does college education matter? Unveiling the contributions of selection factors

This study investigates the contributions of pre-college selection factors that may partially lead to the college degree - health link by using longitudinal data from the National Longitudinal Survey of Youth (1979) cohort. Propensity score matching method finds that the effects of college degree on various health outcomes (self-rated health, physical component summary index, health limitations, CESD scale) are reduced by 51% on average (range: 37%-70%) in the matched sample. Among these observed factors, cognitive skill is the biggest confounder, followed by pre-college health and socioeconomic characteristics (marital aspiration, years of schooling, marriage, fertility, poverty status) and non-cognitive skills (e.g., self-esteem). Rotter Internal-External Locus of Control scale is not significantly associated with all four health measures. The effects of most indicators of family background (parental education, family stability, family size, religious background) on the health of adult children are not direct but through offspring's early adulthood health and socioeconomic status.

The contribution of rising adiposity to the increasing prevalence of diabetes in the United States

OBJECTIVE

We assessed the contribution of increasing adiposity to the rising prevalence of diabetes in the United States over the period 1988-2014.

RESEARCH DESIGN AND METHODS

Data from NHANES III (1988-1994) and continuous waves (1999-2014) were pooled for the current study. Diabetes status was assessed using data on Hemoglobin A1c. We estimated a multivariable logistic regression model that predicted the odds of having diabetes as a function of age, sex, racial/ethnic group, educational attainment, and period of observation. At a second stage, we introduced measures of general and abdominal adiposity into the model. Changes in coefficients pertaining to period of observation between the first and second models were interpreted as indicating the extent to which adiposity can account for trends in the prevalence of diabetes. Sensitivity analyses were conducted to investigate how alternative definitions of adiposity and diabetes status would affect results.

RESULTS

The predicted prevalence of diabetes rose by 2.59%/yr between 1988 and 2014 after adjusting for changes in population composition. Increasing adiposity explained 72% of the rise in diabetes. Results were consistent for men and women.

CONCLUSIONS

Rising levels of adiposity explained the large majority of the rise in diabetes prevalence between 1988 and 2014.

NEW SURVEY QUESTIONS AND ESTIMATORS FOR NETWORK CLUSTERING WITH RESPONDENT-DRIVEN SAMPLING DATA

Respondent-driven sampling (RDS) is a popular method for sampling hard-to-survey populations that leverages social network connections through peer recruitment. While RDS is most frequently applied to estimate the prevalence of infections and risk behaviors of interest to public health, such as HIV/AIDS or condom use, it is rarely used to draw inferences about the structural properties of social networks among such populations because it does not typically collect the necessary data. Drawing on recent advances in computer science, we introduce a set of data collection instruments and RDS estimators for network clustering, an important topological property that has been linked to a network's potential for diffusion of information, disease, and health behaviors. We use simulations to explore how these estimators, originally developed for random walk samples of computer networks, perform when applied to RDS samples with characteristics encountered in realistic field settings that depart from random walks. In particular, we explore the effects of multiple seeds, without replacement versus with replacement, branching chains, imperfect response rates, preferential recruitment, and misreporting of ties. We find that clustering coefficient estimators retain desirable properties in RDS samples. This paper takes an important step toward calculating network characteristics using nontraditional sampling methods, and it expands the potential of RDS to tell researchers more about hidden populations and the social factors driving disease prevalence.

Weight History and All-Cause and Cause-Specific Mortality in Three Prospective Cohort Studies

BACKGROUND

The relationship between body mass index (BMI) and mortality is controversial.

OBJECTIVE

To investigate the relationship between maximum BMI over 16 years and subsequent mortality.

DESIGN

3 prospective cohort studies.

SETTING

Nurses' Health Study I and II and Health Professionals Follow-Up Study.

PARTICIPANTS

225 072 men and women with 32 571 deaths observed over a mean of 12.3 years of follow-up.

MEASUREMENTS

Maximum BMI over 16 years of weight history and all-cause and cause-specific mortality.

RESULTS

Maximum BMIs in the overweight (25.0 to 29.9 kg/m2) (multivariate hazard ratio [HR], 1.06 [95% CI, 1.03 to 1.08]), obese I (30.0 to 34.9 kg/m2) (HR, 1.24 [CI, 1.20 to 1.29]), and obese II (≥35.0 kg/m2) (HR, 1.73 [CI, 1.66 to 1.80]) categories were associated with increases in risk for all-cause death. The pattern of excess risk with a maximum BMI above normal weight was maintained across strata defined by smoking status, sex, and age, but the excess was greatest among those younger than 70 years and never-smokers. In contrast, a significant inverse association between overweight and mortality (HR, 0.96 [CI, 0.94 to 0.99]) was observed when BMI was defined using a single baseline measurement. Maximum overweight was also associated with increased cause-specific mortality, including death from cardiovascular disease and coronary heart disease.

LIMITATION

Residual confounding and misclassification.

CONCLUSION

The paradoxical association between overweight and mortality is reversed in analyses incorporating weight history. Maximum BMI may be a useful metric to minimize reverse causation bias associated with a single baseline BMI assessment.

PRIMARY FUNDING SOURCE

National Institutes of Health.

Deaths Attributable to Diabetes in the United States: Comparison of Data Sources and Estimation Approaches

Objective

The goal of this research was to identify the fraction of deaths attributable to diabetes in the United States.

Research Design and Methods

We estimated population attributable fractions (PAF) for cohorts aged 30–84 who were surveyed in the National Health Interview Survey (NHIS) between 1997 and 2009 (N = 282,322) and in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2010 (N = 21,814). Cohort members were followed prospectively for mortality through 2011. We identified diabetes status using self-reported diagnoses in both NHIS and NHANES and using HbA1c in NHANES. Hazard ratios associated with diabetes were estimated using Cox model adjusted for age, sex, race/ethnicity, educational attainment, and smoking status.

Results

We found a high degree of consistency between data sets and definitions of diabetes in the hazard ratios, estimates of diabetes prevalence, and estimates of the proportion of deaths attributable to diabetes. The proportion of deaths attributable to diabetes was estimated to be 11.5% using self-reports in NHIS, 11.7% using self-reports in NHANES, and 11.8% using HbA1c in NHANES. Among the sub-groups that we examined, the PAF was highest among obese persons at 19.4%. The proportion of deaths in which diabetes was assigned as the underlying cause of death (3.3–3.7%) severely understated the contribution of diabetes to mortality in the United States.

Conclusion

Diabetes may represent a more prominent factor in American mortality than is commonly appreciated, reinforcing the need for robust population-level interventions aimed at diabetes prevention and care.

Cumulative neighborhood risk of psychosocial stress and allostatic load in adolescents

The authors examined the impact of cumulative neighborhood risk of psychosocial stress on allostatic load (AL) among adolescents as a mechanism through which life stress, including neighborhood conditions, may affect health and health inequities. They conducted multilevel analyses, weighted for sampling and propensity score-matched, among adolescents aged 12-20 years in the National Health and Nutrition Examination Survey (1999-2006). Individuals (first level, n = 11,886) were nested within families/households (second level, n = 6,696) and then census tracts (third level, n = 2,191) for examination of the contextual effect of cumulative neighborhood risk environment on AL. Approximately 35% of adolescents had 2 or more biomarkers of AL. A significant amount of variance in AL was explained at the neighborhood level. The likelihood of having a high AL was approximately 10% higher for adolescents living in medium-cumulative-risk neighborhoods (adjusted odds ratio (OR) = 1.09, 95% confidence interval (CI): 1.08, 1.09), 28% higher for those living in high-risk neighborhoods (adjusted OR = 1.28, 95% CI: 1.27, 1.30), and 69% higher for those living in very-high-risk neighborhoods (adjusted OR = 1.69, 95% CI: 1.68, 1.70) as compared with adolescents living in low-risk areas. Effect modification was observed by both individual- and neighborhood-level sociodemographic factors. These findings offer support for the hypothesis that neighborhood risks may culminate in a range of biologically mediated negative health outcomes detectable in adolescents.

Social marketing to plan a fall prevention program for Latino construction workers

BACKGROUND

Latino construction workers experience disparities in occupational death and injury rates. The Occupational Safety and Health Administration funded a fall prevention training program at the University of Nevada, Las Vegas in response to sharp increases in fall-related accidents from 2005 to 2007. The grant's purpose was to improve fall protection for construction workers, with a focus on Latinos. This study assessed the effectiveness of social marketing for increasing fall prevention behaviors.

METHODS

A multi-disciplinary team used a social marketing approach to plan the program. We conducted same day class evaluations and follow-up interviews 8 weeks later.

RESULTS

The classes met trainee needs as evidenced by class evaluations and increased safety behaviors. However, Spanish-speaking Latinos did not attend in the same proportion as their representation in the Las Vegas population.

CONCLUSIONS

A social marketing approach to planning was helpful to customize the training to Latino worker needs. However, due to the limitations of behavior change strategies, future programs should target employers and their obligation to provide safer workplaces.

Information chaos in primary care: implications for physician performance and patient safety

PURPOSE

The purpose of this article is to explore the concept of information chaos as it applies to the issues of patient safety and physician workload in primary care and to propose a research agenda.

METHODS

We use a human factors engineering perspective to discuss the concept of information chaos in primary care and explore implications for its impact on physician performance and patient safety.

RESULTS

Information chaos is comprised of various combinations of information overload, information underload, information scatter, information conflict, and erroneous information. We provide a framework for understanding information chaos, its impact on physician mental workload and situation awareness, and its consequences, and we discuss possible solutions and suggest a research agenda that may lead to methods to reduce the problem.

CONCLUSIONS

Information chaos is experienced routinely by primary care physicians. This is not just inconvenient, annoying, and frustrating; it has implications for physician performance and patient safety. Additional research is needed to define methods to measure and eventually reduce information chaos.

Impact of small group size on neighbourhood influences in multilevel models

BACKGROUND

Given the growing availability of multilevel data from national surveys, researchers interested in contextual effects may find themselves with a small number of individuals per group. Although there is a growing body of literature on sample size in multilevel modelling, few have explored the impact of group sizes of less than five.

METHODS

In a simulated analysis of real data, the impact of a group size of less than five was examined on both a continuous and dichotomous outcome in a simple two-level multilevel model. Models with group sizes one to five were compared with models with complete data. Four different linear and logistic models were examined: empty models; models with a group-level covariate; models with an individual-level covariate and models with an aggregated group-level covariate. The study evaluated further whether the impact of small group size differed depending on the total number of groups.

RESULTS

When the number of groups was large (N=459), neither fixed nor random components were affected by small group size, even when 90% of tracts had only one individual per tract and even when an aggregated group-level covariate was examined. As the number of groups decreased, the SE estimates of both fixed and random effects were inflated. Furthermore, group-level variance estimates were more affected than were fixed components.

CONCLUSIONS

Datasets in which there is a small to moderate number of groups, with the majority of very small group size (n<5), size may fail to find or even consider a group-level effect when one may exist and also may be underpowered to detect fixed effects.

Diabetes prevalence by length of residence among US immigrants

Although at arrival, US immigrants have a lower prevalence of overweight compared to native born individuals, prevalence increases with increased length of residence. It is unknown whether length of residence similarly affects diabetes. Data on adults aged 18-74 years from the National Health Interview Survey were pooled from 1997 to 2005 (n = 33,499). Diabetes prevalence by length of residence was estimated by multivariable logistic regression. Diabetes prevalence was higher with increased length of residence in the US, independent of age and body mass index (<5 years residence: 3.3%; 5-<10 year, 3.4%; 10-<15 year, 4.5%; 15+ year, 5.3%; P for trend <0.001). Length of residence had the largest effect on diabetes prevalence among immigrants who arrive at 25-44 years of age (prevalence: 1.4% for <5 year vs. 11.1% for 15+ year; odds ratio = 9.7 (95% CI: 5.2-18.1)). Despite differences in the associations between diabetes prevalence and length of residence by age at immigration, diabetes prevalence at 10-≤15 and 15± years was statistically similar in each age at immigration strata. Diabetes prevalence increased with length of residence, independent of age and obesity, and was modified by age at immigration. Diabetes prevalence reaches a plateau at 10+ years of residence and diabetes prevention efforts should, therefore, start soon after migration.

The neighborhood alcohol environment and alcohol-related morbidity

AIMS

The aims of this study were (1) to examine the association between neighborhood alcohol outlet density and individual self-reported alcohol-related health outcomes in the last year-sexually transmitted infections (STI), motor vehicle accidents, injury, liver problems, hypertension and experienced violence; (2) to determine whether the relationship between morbidity and alcohol outlet density is mediated by individual alcohol consumption; and (3) to explore the role of alcohol outlet density in explaining any observed racial and ethnic differences in morbidity.

METHOD

Hierarchical models from a random sample of Los Angeles, CA, and Louisiana residents (N = 2881) from 217 census tracts were utilized. The clustering of health and social outcomes according to neighborhood varied by health problem examined.

RESULTS

There was substantial clustering of STI (intraclass correlation coefficient, ICC = 12.8%) and experienced violence (ICC = 13.0%); moderate clustering of liver problems (ICC = 3.5%) and hypertension (ICC = 3.9%); and low clustering of motor vehicle accident (ICC = 1.2%) and injury (ICC = 1.4%). Alcohol outlet density was significantly and positively associated with STI (crude OR = 1.80, 95% CI = 1.10-3.00), liver problems (crude OR = 1.33, 95% CI = 1.02-1.75) and experienced violence (crude OR = 1.31, 95% CI = 1.13-1.51) although not with other morbidity outcomes. Mediation analyses of morbidity outcomes revealed partial mediation of individual alcohol consumption in the relationship between alcohol density and STI and violence, and full mediation for liver problems.

CONCLUSIONS

Findings support the concept that off-premise alcohol outlets in the neighborhood environment may impact health and social outcomes, either directly or indirectly, through individual alcohol consumption and these associations may be heterogeneous with respect to race and ethnicity.

Perceived neighborhood fear and drug use among young adults

OBJECTIVES

To examine the association between perceptions of neighborhood safety and drug use, as well as mediation by depression and self-esteem.

METHODS

The sample included 210 inner-city young adults (18 to 25 years) recruited from the Atlanta, Georgia, USA.

RESULTS

Respondents who indicated greater fear of their neighborhood environment also had significantly greater levels of drug use than did those with lower perceived fear. However, this relationship was not a result of lower self-esteem or higher levels of depressive symptoms.

CONCLUSIONS

Exploratory results point to the need to consider the broader role of the community environment and its impact on drug use among young adults.

Social capital in the college setting: the impact of participation in campus activities on drinking and alcohol-related harms

OBJECTIVE

The authors aimed to replicate previous findings on social capital and harmful alcohol outcomes in the college setting and to ascertain the protective effects of additional indicators of social capital.

METHODS

Over 4 years (2000-2004), the authors conducted annual cross-sectional, random-sample student surveys at 32 US institutions of higher education (N = 15,875) and constructed multilevel models to examine the association between individual- and campus-level participation in campus activities and harmful drinking outcomes.

RESULTS

At the individual level, community volunteerism was protective against harmful drinking outcomes. In contrast to past research, campus-level volunteerism was not significantly associated with the outcome measures. At both the individual and campus levels, participation in a religious organization was protective. Greek membership and varsity athletic participation were risk factors at the individual level.

CONCLUSIONS

Results did not corroborate previous findings and revealed mixed results for other measures of participation at the campus level. The influence of social capital on college alcohol consumption deserves further attention.

The use of an electronic audience response system for data collection

BACKGROUND

Gathering complete and accurate data from community groups, particularly medically underserved populations, is challenging.

METHODS

An electronic audience response system (ARS) is a novel method for the efficient collection of data while maintaining participant confidentiality in group settings.

RESULTS

Because data are captured electronically, an ARS eliminates the need to transfer data from paper forms, reducing errors and the amount of time required for data management.

CONCLUSIONS

ARS is a useful data collection tool that works well with diverse populations and greatly increases data accuracy and completeness while maintaining participant confidentiality.

The effect of area HMO market share on cancer screening

OBJECTIVE

Managed care may have widespread impacts on health care delivery for all patients in the areas where they operate. We examine the relationship between area managed care activity and screening for breast, cervical, and prostate cancer among patients enrolled in more managed care plans and patients who are enrolled in less managed plans.

DATA AND METHODS

Data on cancer screening from the 1996 Medical Expenditure Panel Survey (MEPS) were linked to data on health maintenance organization (HMO) and preferred provider organization (PPO) market share and HMO competition at the metropolitan statistical area (MSA) level. Logistic regression analysis was used to examine the relationship between area managed care prevalence and the use of mammography, clinical breast examination, Pap smear, and prostate cancer screening in the past two years, controlling for important covariates.

RESULTS

Among all patients, increases in area-level HMO market share are associated with increases in the appropriate use of mammography, clinical breast exam, and Pap smear (OR for high relative to low managed care areas are 1.75, p < .01, for mammography, 1.58, p < .05, for clinical breast exam, and 1.71, p < .01, for Pap smear). In analyses of subgroups, the relationship is significant only for individuals who are enrolled in the nonmanaged plans; there is no relationship for individuals in more managed plans. No relationship is observed between area HMO market share and prostate cancer screening in any analysis. Neither the level of competition between area HMOs nor area PPO market share is associated with screening rates.

CONCLUSIONS

Area-level managed care activity can influence preventive care treatment patterns.

Assessing the psychosocial and academic needs of Latino youth to inform the development of school-based programs

A survey was made of the leaders in the Latino community from four East coast cities on the mental health, academic, and behavioral needs of Latino youth, services available to them, and recommendations to better address their needs. Of the 112 Latino leaders recruited, 46 responded to the survey, expressing their views that Latino youth experience significant stress in the United States, present behavioral and academic adjustment problems, and generally have difficulty accessing appropriate services and resources. Programs for these youth were presented as limited in number and lacking in cultural sensitivity. Community leaders endorsed the development of comprehensive and culturally sensitive programs for Latino youth in schools that address their psychosocial and academic needs.

Psychiatric emergencies in children

OBJECTIVE

To examine the demographic and clinical characteristics of children using the pediatric emergency department (ED) in a medical center in Baltimore, Maryland. The rate of admission and length of stay for children who were evaluated in the ED were also examined.

SETTING

A large, urban medical center with approximately 15,500 visits per year.

RESULTS

During a 13-month period, more than 600 visits to the ED were made for mental health concerns for children aged 2 to 18 years, with psychiatric visits constituting more than 5% of total visits to the ED. Psychiatric visits averaged more than 5 hours' duration in the ED and involved significant effort by medical staff, with approximately one half of visitors undergoing psychiatric admission. Interviews conducted with the ED staff revealed that addressing psychiatric problems in children is a considerable burden and that there is a general lack of resources within the ED and the surrounding community to respond to the needs of children with psychiatric emergencies.

CONCLUSION

The challenge in most communities is to build a true system of care that involves proactive and more preventive care in natural settings, such as schools, and coordination and improvement of care for youth with more serious problems.

A clinically useful screening interview to assess violence exposure in youth

The Exposure to Violence Screening Measure (EVSM) was evaluated as a structured interview for assessing violence exposure among inner-city youth. Psychometric analysis of the measure on a sample of 352 inner-city teenagers indicated adequate internal consistency. The validity of the EVSM was supported by significant correlations between the total score and measures of life stress and behavioral problems.

Advancing efforts to address youth violence involvement

Discusses the increased public attention on violence-related problems among youth and the concomitant increased diversity in research. Youth violence involvement is a complex construct that includes violence experienced in multiple settings (home, school, neighborhood) and in multiple forms (as victims, witnesses, perpetrators, and through family members, friends, and the media). Potential impacts of such violence involvement are considerable, including increased internalizing and externalizing behaviors among youth and future problems in school adjustment and life-course development. This introductory article reviews key dimensions of youth-related violence, describes an American Psychological Association Task Force (Division 12) developed to advance relevant research, and presents examples of national resources and efforts that attempt to address this critical public health issue.

Assessing the status of research on violence-related problems among youth

Presents results of a systematic review of abstracts on studies related to violence and youth in an effort to identify areas that have received little attention in the psychological literature and to present recommendations for future research. A total of 1,168 empirical articles on violence-related problems in youth were identified by a PsycINFO (American Psychological Association, 1980-1999) search. These articles were then classified in a multidimensional grid, allowing for comparisons among different types of articles. A review of abstracts from these articles indicated that most of the research activity has been descriptive (e.g., reviewing correlates or predictors of violence involvement) or assessment related (e.g., evaluating specific measures). Fewer articles examined the treatment or prevention of violence-related problems among youth. Further, the majority of studies pertained to direct exposure to violence (as a victim or perpetrator), with very few studies looking at the effects of witnessing violence, knowing individuals exposed to violence, or being exposed to violence through the media. Comparing treatment and prevention articles, we found that the least empirical attention was paid to the prevention of violence-related problems in youth, and not a single study was identified through this search that sought to examine the prevention of youth witnessing violence. Implications for future research agendas are discussed.

Toward a public mental health promotion and intervention system for youth

Substantial limitations exist at all levels of mental health care for youth in most communities in the United States. Particular gaps exist in the areas of prevention, mental health promotion, and early intervention programs. The national movement toward enhancing mental health programs for youth in schools offers an important opportunity to fill gaps in the prevention-services continuum toward the development of a Public Mental Health Promotion and Intervention System for Youth. A strategy--the Child and Adolescent Program Planning Schema (CAPPS)--is presented to analyze gaps in a community's system of mental health programs for youth, and to facilitate planning toward development of a full continuum of programs from broad, population-based prevention, and mental health promotion strategies to treatment of youth with more established problems.

Mental health, health, and education staff working together in schools

The movement to develop expanded school mental health programs is still in its early stages. For child and adolescent psychiatrists to become involved and effective means negotiating a culture that is novel for many schools and forming and maintaining relationships with diverse staff in mental health, health, and education.

Evaluation of expanded school mental health programs

Expanded school mental health programs provide a full range of mental health services (assessment, treatment, case management, prevention) to youth in regular and special education, and typically involve close collaboration between schools and community agencies. A major challenge for these programs is documenting that provided services are of high quality and leading to enhanced outcomes for the youth and schools served by them. Dimensions of school mental health evaluations and a step-by-step process for conducting them are presented, using the example of a well established program in Baltimore. Challenges to such evaluation and strategies for overcoming challenges are also presented.

A questionnaire to measure factors that protect youth against stressors of inner-city life

This study reports the development of the My Life Questionnaire (MLQ), a self-report measure of factors that protect inner-city youth against stressors such as poverty, crime, and violence. An initial pool of 23 items reflecting important protective factors was developed through focus groups with inner-city youth and clinicians working with them in a school-based mental health program. Item-total correlations and factor analysis resulted in a 12-item measure containing three factors: avoiding negative peer influences, focusing on the future, and religious involvement. Scores on the MLQ were negatively correlated with behavioral problems, supporting its validity. The measure holds promise for use in clinical and research efforts with disadvantaged urban youth.

Expanded school mental health services: assessing needs related to school level and geography

We surveyed 62 school administrators from three midatlantic (MD, VA, WV) and one northeastern (CT) state on factors relevant to developing school-based mental health programs. Administrators were from schools that varied on education level (elementary, middle, and high) and geographic location (urban, suburban, and rural), with equivalent numbers in each subgroup. Administrators provided ratings to questions grouped in five categories: (a) Stressful Conditions, (b) Internalizing Behavioral Problems, (c) Externalizing Behavioral Problems, (d) Substance Abuse, and (e) Barriers to Mental Health Care, and provided open-ended comments on needs of youth and mental health programs for them. They rated behavioral and substance abuse problems as progressively more serious as students advanced in school level. Urban youth were reported to encounter higher stress and present more severe internalizing problems than suburban or rural youth. Suburban and rural schools provided more health and mental health services than urban schools. Across geographic locales, physical health services far outnumbered mental health services. Findings related to barriers to mental health care, and the viability of schools as delivery sites for comprehensive mental health services, are discussed.

Overcoming challenges in outcome evaluations of school mental health programs

Significant growth and improvement of school mental health programs has occurred in recent years. However, evaluation of outcomes for children receiving these services is needed to provide accountability data and ensure the sustainability of these programs. When designing studies, evaluators must overcome several challenges that may threaten the validity of their conclusions. In this paper, threats or challenges to the internal and external validity of results from evaluation studies are reviewed. Suggestions are provided for overcoming these challenges, in order to encourage future evaluation activities in this developing field and to document the impact of services for youth and their families.

Expanded school mental health programs: advancing reform and closing the gap between research and practice

Expanded school mental health (ESMH) programs provide a range of mental health services to youth in special and regular education including prevention, assessment, treatment, and case management. Despite the rapid growth of ESMH programs in the United States and elsewhere, many communities still do not have ESMH programs and those that do exist often fail to implement empirically validated intervention and treatment strategies. Systematic prevention efforts remain a lauded, yet illusive goal. For ESMH programs to fulfill their promise of improved access, increased productivity and improved behavioral outcomes, researchers, school-based mental health service providers, and educators must work together to move child mental health programs beyond limiting constructs and approaches. These issues are reviewed and an example of an "ideal" approach to implement best practices in schools and close the gap between research and practice is offered.

Toward collaboration in the growing education-mental health interface

Expanded school mental health (ESMH) programs involve the provision of comprehensive mental health services for youth in schools, including assessment, intervention, prevention, and consultation. Related to increased awareness of the benefits of these programs, and growing disenchantment with traditional forms of mental health service delivery for children, ESMH programs are growing rapidly in the United States. Coinciding with the growth of these programs is a developing interface between and among education and mental health professionals in schools. In this interface, there is an increasing need for real collaboration; however, associated with differences in professional training, language, and expectations, and related to "turf," such collaboration is often an elusive prospect. In this article, we review historical trends that provide background to the growing education-mental health interface in schools. We discuss tensions that arise between staff of various disciplines when ESMH programs are developed, and provide recommendations on strategies to develop truly collaborative approaches to the provision of comprehensive mental health services in schools.

Progress in adolescent mental health

This chapter reviews the status of emotional and behavioral problems in adolescents and current issues in their assessment and treatment. The authors emphasize the need for the development of mental health programs for adolescents in natural settings such as schools, and present a conceptual framework for intervention based on provider knowledge of risk and protective factors.

Psychosocial functioning of youth receiving mental health services in the schools versus community mental health centers

Evaluated psychosocial differences between youth receiving mental health services in Community Mental Health Centers (CMHCs; n = 79) as compared to youth receiving services from a program operating in 10 Baltimore schools (n = 186). Racial and gender differences were shown, with more African American youth and females in the School than CMHC sample. Multivariate analyses that controlled for these racial and gender differences failed to reveal significant effects, indicating comparable functioning on measures of life stress, violence exposure, family support, self-concept, and emotional/behavioral problems for youth from the two samples. However, particularly for those with internalizing disturbances, youth in the School sample were less likely to have received prior mental health services than youth from the CMHCs. Findings support the conclusion that school-based mental health programs are reaching youth who need mental health services, who otherwise may not receive them.

Family involvement in expanded school mental health

Expanded school mental health (ESMH) programs address the limitations of traditional mental health agencies in meeting the needs of youth by providing a full range of services in a familiar and nonstigmatizing setting. Because of the central role families play in the lives of children, their involvement in ESMH can enhance the effectiveness of treatments and ensure that services are responsive to the needs of the larger community. Increasing family involvement, however, is a complex and resource-intensive endeavor, and requires consideration of the goals of the ESMH program and potential obstacles to meeting those goals. The challenges of involving family members in ESMH, guidelines for determining the program's goals with respect to family involvement, and strategies for achieving these goals are described. Underlying the strategies is the need to be flexible, creative, and respectful of the beliefs and concerns of the families served by the ESMH program.

Self-reported delinquent behavior and psychosocial functioning in inner-city teenagers: a brief report

Evaluated psychosocial characteristics of inner-city ninth graders exceeding a cutoff for clinically significant delinquent behaviors (n = 27), as compared to youth whose self-reported delinquent behaviors fell below this cutoff (n = 136). Youth reporting high levels of delinquent behavior reported more life stress, depression and anxiety, lower self-concept, and less cohesive families than other students. Females reporting high levels of delinquent behavior were more likely to have poor classroom and school attendance than other females; this relationship did not hold for males.

An interdisciplinary health team training program for school staff in Minnesota

This paper describes an interdisciplinary health team training program for school-based clinic staff in Minnesota. The project sought to improve team functioning, level of practice, and health care services at the school sites. Participants were interdisciplinary staff members from clinics in senior high, middle, and elementary schools. The program consisted of further development in team training knowledge and skills and educational sessions on issues identified by participants. Evaluations indicated participants reported greater knowledge and improved team functioning experiences from the team training. Gains also were shown in knowledge and skills in specific school topic areas such as violence, resiliency, working with resistant families, and self-care. The program could serve as a model for other interdisciplinary school health team training.