Faculty Bibliography

IMPORTANCE/OBJECTIVE:Despite concern about an "epidemic," there are limited data on trends in prevalence of either type 1 or type 2 diabetes across US race and ethnic groups. OBJECTIVE:To estimate changes in the prevalence of type 1 and type 2 diabetes in US youth, by sex, age, and race/ethnicity between 2001 and 2009. DESIGN, SETTING, AND PARTICIPANTS/METHODS:Case patients were ascertained in 4 geographic areas and 1 managed health care plan. The study population was determined by the 2001 and 2009 bridged-race intercensal population estimates for geographic sites and membership counts for the health plan. MAIN OUTCOMES AND MEASURES/METHODS:Prevalence (per 1000) of physician-diagnosed type 1 diabetes in youth aged 0 through 19 years and type 2 diabetes in youth aged 10 through 19 years. RESULTS:In 2001, 4958 of 3.3 million youth were diagnosed with type 1 diabetes for a prevalence of 1.48 per 1000 (95% CI, 1.44-1.52). In 2009, 6666 of 3.4 million youth were diagnosed with type 1 diabetes for a prevalence of 1.93 per 1000 (95% CI, 1.88-1.97). In 2009, the highest prevalence of type 1 diabetes was 2.55 per 1000 among white youth (95% CI, 2.48-2.62) and the lowest was 0.35 per 1000 in American Indian youth (95% CI, 0.26-0.47) and type 1 diabetes increased between 2001 and 2009 in all sex, age, and race/ethnic subgroups except for those with the lowest prevalence (age 0-4 years and American Indians). Adjusted for completeness of ascertainment, there was a 21.1% (95% CI, 15.6%-27.0%) increase in type 1 diabetes over 8 years. In 2001, 588 of 1.7 million youth were diagnosed with type 2 diabetes for a prevalence of 0.34 per 1000 (95% CI, 0.31-0.37). In 2009, 819 of 1.8 million were diagnosed with type 2 diabetes for a prevalence of 0.46 per 1000 (95% CI, 0.43-0.49). In 2009, the prevalence of type 2 diabetes was 1.20 per 1000 among American Indian youth (95% CI, 0.96-1.51); 1.06 per 1000 among black youth (95% CI, 0.93-1.22); 0.79 per 1000 among Hispanic youth (95% CI, 0.70-0.88); and 0.17 per 1000 among white youth (95% CI, 0.15-0.20). Significant increases occurred between 2001 and 2009 in both sexes, all age-groups, and in white, Hispanic, and black youth, with no significant changes for Asian Pacific Islanders and American Indians. Adjusted for completeness of ascertainment, there was a 30.5% (95% CI, 17.3%-45.1%) overall increase in type 2 diabetes. CONCLUSIONS AND RELEVANCE/CONCLUSIONS:Between 2001 and 2009 in 5 areas of the United States, the prevalence of both type 1 and type 2 diabetes among children and adolescents increased. Further studies are required to determine the causes of these increases.

PURPOSE/OBJECTIVE:Social capital is essential for the successful development of young people. The current study examines direct measures of social capital in young people in five urban global contexts. METHODS:The Well-Being of Adolescents in Vulnerable Environments is a global study of young people aged 15-19 years living in disadvantaged, urban settings. Respondent-driven sampling was used to recruit approximately 500 participants from each site. The sample included 2,339 young people (mean age 16.7 years; 47.5% female). We examined the associations between social capital in four domains-family, school, peers, and neighborhood and demographic characteristics-using gender-stratified ordinary least-squares regression. We also examined associations between self-reported health and the four social capital domains, which was minimal. RESULTS:School enrollment was positively associated with social capital for young women in Baltimore, Delhi, and Shanghai; the association was less consistent for young men. The same pattern is true for perceived wealth. Unstable housing was associated with low familial social capital in all groups except young women in Shanghai and young men in Ibadan and Johannesburg. Being raised outside a two-parent family has a widespread, negative association with social capital. Self-reported health had a mainly positive association with social capital with the most consistent association being neighborhood social capital. CONCLUSIONS:Different types of social capital interact with social contexts and gender differently. Strategies that aim to build social capital as part of risk reduction and positive youth development programming need to recognize that social capital enhancement may work differently for different groups and in different settings.

This study was conducted to determine the malariometric indices of children in three different settings in Ibadan, Nigeria. Children were recruited from an urban slum (Oloomi) and a periurban (Sasa) and a rural community (Igbanda) in Ibadan. Children aged between 2 and 10 years were randomly selected from primary schools in the urban and periurban areas. In the rural community, children were recruited from the centre of the village. A total of 670 (55.0%) out of 1218 children recruited were positive for malaria parasitaemia. The urban population had the highest proportion of children with malaria parasitaemia. Splenomegaly was present in 31.5%, hepatomegaly in 41.5%, hepatosplenomegaly in 27.5%, and anaemia in 25.2% of the children. The parasite density was not significantly different among children in the three communities. Children in the rural community had the highest mean PCV of 34.2% and the lowest rates of splenomegaly (6.1%), hepatomegaly (7.6%), and hepatosplenomegaly (4.6%). The spleen rates, liver rates, and presence of hepatosplenomegaly and anaemia were similar in the urban and periurban communities. The malariometric indices among the asymptomatic carriers were high, especially in the urban slum. This stresses the need for intensified efforts at controlling the disease in the study area.

PURPOSE/OBJECTIVE:Globally, adolescents are at risk of depression, traumatic stress, and suicide, especially those living in vulnerable environments. This article examines the mental health of 15- to 19-year-old youth in five cities and identifies the social support correlates of mental health. METHODS:A total of 2,393 adolescents aged 15-19 years in economically distressed neighborhoods in Baltimore, MD; New Delhi, India; Ibadan, Nigeria; Johannesburg, South Africa; and Shanghai, China were recruited in 2013 via respondent-driven sampling to participate in a survey using an audio computer-assisted self-interview. Weighted logistic regression and general linear models were used to explore the associations between mental health and social supports. RESULTS:The highest levels of depression and posttraumatic stress symptoms were displayed in Johannesburg among females (44.6% and 67.0%, respectively), whereas the lowest were among New Delhi females and males (13.0% and 16.3%, respectively). The prevalence of suicidal ideation ranged from 7.9% (New Delhi female adolescents) to 39.6% (Johannesburg female adolescents); the 12-month prevalence of suicide attempts ranged from 1.8% (New Delhi females) to 18.3% (Ibadan males). Elevated perceptions of having a caring female adult in the home and feeling connected to their neighborhoods were positively associated with adolescents' levels of hope across the sites while negatively associated with depression and posttraumatic stress symptoms with some variation across sites and gender. CONCLUSIONS:Adolescents living in the very economically distressed areas studied register high levels of depression and posttraumatic stress. Improving social supports in families and neighborhoods may alleviate distress and foster hope. In particular, strengthening supports from female caretakers to their adolescents at home may improve the outlooks of their daughters.

PURPOSE/OBJECTIVE:Adolescent substance use has numerous consequences. Our goals in this article are to compare the prevalence and correlates of substance use among ethnically diverse adolescents. METHODS:Data were from 2,332 adolescents aged 15-19 years recruited via respondent-driven sampling from disadvantaged settings in five cities. Multivariate logistic regression was used to identify correlates of current substance use. RESULTS:About half of the respondents were male. Most adolescents (73.4%) were currently enrolled in school and identified a father (86.2%) and mother (98.6%) figure and strong peer support. Sixty-two percent reported lifetime use of at least one substance. Overall, the most common substances ever used were alcohol (44.6%), cigarettes (26.2%), and marijuana (17.9%). Mean age at first use of alcohol was 14.2 ± 3.1 years. Current alcohol use was highest in Johannesburg (47.4%) and lowest in Delhi (2.1%). The mean age at first use of cigarettes was 14.4 ± 2.8 years. Current cigarette smoking was highest in Johannesburg (32.5%) and lowest in Delhi (3.7%). Male gender predicted current alcohol use in all sites, older age (17-19 years) was also a predictor in Baltimore. Male gender (Johannesburg and Shanghai), older age (Baltimore and Shanghai), and being out of school (Baltimore, Johannesburg, and Shanghai) predicted current cigarette smoking. Absence of a caring father figure was predictive for current alcohol use in Baltimore and Shanghai. Stronger peer support predicted alcohol (Johannesburg and Shanghai) and cigarette use (Johannesburg). CONCLUSIONS:Substance use is still a major issue among adolescents around the world, underscoring the need for continued research and interventions.

PURPOSE/OBJECTIVE:The impact of pregnancy on the health and livelihood of adolescents aged 15-19 years is substantial. This study explored sociodemographic, behavioral, and environmental-level factors associated with adolescent pregnancy across five urban disadvantaged settings. METHODS:The Well-Being of Adolescents in Vulnerable Environments study used respondent-driven sampling (RDS) to recruit males and females from Baltimore (456), Johannesburg (496), Ibadan (449), New Delhi (500), and Shanghai (438). RDS-II and poststratification age weights were used to explore the odds associated with "ever had sex" and "ever pregnant"; adjusted odds of pregnancy and 95% confidence interval were developed by site and gender. RESULTS:Among the sexually experienced, pregnancy was most common in Baltimore (females, 53% and males, 25%) and Johannesburg (females, 29% and males 22%). Heterosexual experience and therefore pregnancy were rare in Ibadan, New Delhi, and Shanghai. Current schooling and condom use at the first sex decreased the odds of pregnancy among females in Baltimore and Johannesburg participants. Factors associated with higher odds of pregnancy were early sexual debut (Johannesburg participants and Baltimore females) being raised by someone other than the two parents (Johannesburg females); alcohol use and binge drinking in the past month (Baltimore participants); greater community violence and poor physical environment (Baltimore males and Johannesburg participants). CONCLUSIONS:The reported prevalence of adolescent pregnancy varies substantially across similarly economically disadvantaged urban settings. These differences are related to large differences in sexual experience, which may be underreported, and differences in environmental contexts. Pregnancy risk needs to be understood within the specific context that adolescents reside with particular attention to neighborhood-level factors.

The global adolescent population is larger than ever before and is rapidly urbanizing. Global surveillance systems to monitor youth health typically use household- and school-based recruitment methods. These systems risk not reaching the most marginalized youth made vulnerable by conditions of migration, civil conflict, and other forms of individual and structural vulnerability. We describe the methodology of the Well-Being of Adolescents in Vulnerable Environments survey, which used respondent-driven sampling (RDS) to recruit male and female youth aged 15-19 years and living in economically distressed urban settings in Baltimore, MD; Johannesburg, South Africa; Ibadan, Nigeria; New Delhi, India; and Shanghai, China (migrant youth only) for a cross-sectional study. We describe a shared recruitment and survey administration protocol across the five sites, present recruitment parameters, and illustrate challenges and necessary adaptations for use of RDS with youth in disadvantaged urban settings. We describe the reach of RDS into populations of youth who may be missed by traditional household- and school-based sampling. Across all sites, an estimated 9.6% were unstably housed; among those enrolled in school, absenteeism was pervasive with 29% having missed over 6 days of school in the past month. Overall findings confirm the feasibility, efficiency, and utility of RDS in quickly reaching diverse samples of youth, including those both in and out of school and those unstably housed, and provide direction for optimizing RDS methods with this population. In our rapidly urbanizing global landscape with an unprecedented youth population, RDS may serve as a valuable tool in complementing existing household- and school-based methods for health-related surveillance that can guide policy.

PURPOSE/OBJECTIVE:Globally, adolescent women are at risk for gender-based violence (GBV) including sexual violence and intimate partner violence (IPV). Those in economically distressed settings are considered uniquely vulnerable. METHODS:Female adolescents aged 15-19 from Baltimore, Maryland, USA; New Delhi, India; Ibadan, Nigeria; Johannesburg, South Africa; and Shanghai, China (n = 1,112) were recruited via respondent-driven sampling to participate in a cross-sectional survey. We describe the prevalence of past-year physical and sexual IPV, and lifetime and past-year non-partner sexual violence. Logistic regression models evaluated associations of GBV with substance use, sexual and reproductive health, mental health, and self-rated health. RESULTS:Among ever-partnered women, past-year IPV prevalence ranged from 10.2% in Shanghai to 36.6% in Johannesburg. Lifetime non-partner sexual violence ranged from 1.2% in Shanghai to 12.6% in Johannesburg. Where sufficient cases allowed additional analyses (Baltimore and Johannesburg), both IPV and non-partner sexual violence were associated with poor health across domains of substance use, sexual and reproductive health, mental health, and self-rated health; associations varied across study sites. CONCLUSIONS:Significant heterogeneity was observed in the prevalence of IPV and non-partner sexual violence among adolescent women in economically distressed urban settings, with upwards of 25% of ever-partnered women experiencing past-year IPV in Baltimore, Ibadan, and Johannesburg, and more than 10% of adolescent women in Baltimore and Johannesburg reporting non-partner sexual violence. Findings affirm the negative health influence of GBV even in disadvantaged urban settings that present a range of competing health threats. A multisectoral response is needed to prevent GBV against young women, mitigate its health impact, and hold perpetrators accountable.