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1.
Matern Child Health J ; 17(10): 1842-51, 2013 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-23247667

RESUMO

Recent evidence extends the health benefits of breastfeeding to include reduction of maternal body mass index (BMI) and childhood obesity. Since most women decide if they will breastfeed prior to pregnancy, it is important to understand, given the high population prevalence of obesity, if maternal underweight, overweight or obese status is associated with breastfeeding initiation. Population-based study. Florida resident birth certificate records. All live singleton births (2004-2009), excluding observations that lacked the primary outcomes of maternal pre-pregnancy BMI and breastfeeding initiation (final sample of 1,161,949 unique observations). Odds of initiating breastfeeding, adjusted by maternal and infant factors, stratified by pre-pregnancy BMI, categorized as underweight, normal, overweight and obese. Adjusting for the known maternal factors associated with breastfeeding initiation, underweight and obese women were significantly less likely to initiate breastfeeding than women with normal BMI, (adjusted odds ratio 0.87, 95 % confidence interval 0.85-0.89 for underweight women; 0.84, 95 % CI 0.83-0.85 for obese women). The magnitude of these findings did not significantly vary by race or ethnicity. Medicaid status and adherence to the Institute of Medicine's 2009 pregnancy weight gain recommendations had only minor influences on breastfeeding initiation. Among adolescents, only underweight status predicted breastfeeding initiation; obesity did not. Underweight and obese women have significantly lower rates of breastfeeding initiation compared to women with normal pre-pregnancy BMI. Future studies need to address the health care, social, and physical barriers that interfere with breastfeeding initiation, especially in underweight and obese women, regardless of race, ethnicity or income.


Assuntos
Índice de Massa Corporal , Aleitamento Materno/estatística & dados numéricos , Obesidade/epidemiologia , Sobrepeso/epidemiologia , Magreza/epidemiologia , Adolescente , Adulto , Feminino , Florida , Humanos , Modelos Logísticos , Masculino , Obesidade/complicações , Sobrepeso/complicações , Gravidez , Fatores de Risco , Magreza/complicações , Adulto Jovem
2.
Matern Child Health J ; 17(10): 1817-24, 2013 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-23233243

RESUMO

To measure the effect of a short interpregnancy interval (IPI), along with other indicators routinely asked during pregnancy on later report of child maltreatment. We hypothesized that an IPI of <18 months was associated with increased risk of child maltreatment. This study was a secondary analysis of a linked population-based dataset from 2005 to 2007 in Florida. Data were derived from three sources: Birth Certificates, Healthy Start Prenatal Risk Screens, and the HomeSafeNet Database. Primary predictor variables were IPI, and mothers' evaluations of the timing of the pregnancy and perceptions of harm. Logistic regression analyses were used to estimate the odds of child maltreatment, adjusting for demographic and other known risk factors for maltreatment. The final study sample consisted of 85,258 multipara women-infant dyads with credible IPIs and with completed Healthy Start Prenatal Risk Screens. Seventeen percent of children had a report of child maltreatment in the first 5 years of life. An IPI of less than 18 months was associated with 18 % higher odds of maltreatment compared to an IPI of greater than 18 months (95 % CI 1.13, 1.23). Mothers' perception of harm and desire to be pregnant at a later time were also significantly associated with higher odds of maltreatment report (AOR = 2.43 95 % CI = 2.17, 2.71 and AOR = 1.18 95 % CI 1.13, 1.24, respectively). Ascertaining short IPI and asking pregnant and peripartum women about their perception of harm and desire for a longer birth spacing can alert obstetricians, family practitioners and pediatricians to potential child maltreatment.


Assuntos
Intervalo entre Nascimentos/estatística & dados numéricos , Maus-Tratos Infantis/diagnóstico , Adulto , Criança , Maus-Tratos Infantis/estatística & dados numéricos , Feminino , Florida , Humanos , Lactente , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Gravidez , Fatores de Risco , Adulto Jovem
3.
Perm J ; 17(1): 4-9, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-23596361

RESUMO

Challenges to health care access in the US are forcing local policymakers and service delivery systems to find novel ways to address the shortage of primary care clinicians. The uninsured and underinsured face the greatest obstacles in accessing services. Geographic information systems mapping software was used to illustrate health disparities in Alachua County, FL; galvanize a community response; and direct reallocation of resources. The University of Florida Family Data Center created "hot spot" density maps of important health and social indicators to highlight the location of disparities at the neighborhood level. Maps were produced for Medicaid births, teen births, low birth weight, domestic violence incidents, child maltreatment reports, unexcused school absences, and juvenile justice referrals. Maps were widely shared with community partners, including local elected officials, law enforcement, educators, child welfare agencies, health care providers, and service organizations. This data sharing resulted in advocacy efforts to bring resources to the greatest-need neighborhoods in the county. Novel public-private partnerships were forged between the local library district, children and family service providers, and university administrators. Two major changes are detailed: a family resource center built in the neighborhood of greatest need and a mobile clinic staffed by physicians, nurses, physician assistants, health educators, and student and faculty volunteers. Density maps have several advantages. They require minimal explanation. Anyone familiar with local geographic features can quickly identify locations displaying health disparities. Personalizing health disparities by locating them geographically allows a community to translate data to action to improve health care access.


Assuntos
Sistemas de Informação Geográfica , Disparidades em Assistência à Saúde , Atenção Primária à Saúde/organização & administração , Alocação de Recursos/métodos , Serviço Social/organização & administração , Relações Comunidade-Instituição , Humanos , Unidades Móveis de Saúde/organização & administração , Estados Unidos
4.
Womens Health Issues ; 23(3): e187-93, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-23660432

RESUMO

BACKGROUND: Motor vehicle crashes, homicide, suicide, and drug abuse are among the leading causes of pregnancy-associated deaths. To prevent such deaths, identifying women for intervention is required. The universally offered Florida Healthy Start Prenatal Risk Screen was evaluated to identify women at increased risk for traumatic pregnancy-associated death. METHODS: Florida's Enhanced Maternal Mortality Reporting Database for 1999 through 2005 was linked with Florida's Healthy Start Prenatal Risk Screen to identify traumatic pregnancy-associated death as the outcome. Distribution of Healthy Start risk scores among women who died were compared with the screened population. Traumatic death estimates per 100,000 births were drawn for each risk score, along with estimates of the relative risk (RR) of traumatic death for each score. The RR of women with scores greater than or equal to 4 were compared with the risk of women scoring 0 to 3. FINDINGS: Almost 20% of the 620,959 women who did not die of traumatic death had a risk score of 0, compared with only 3% of the 144 women who did die of traumatic death. As risk scores increased, the chance of traumatic deaths sharply increased. A woman with a score of 4 had 11.78 times (confidence interval [CI], 4.63-29.69) the risk of traumatic death compared with a woman with a risk score of 0. CONCLUSIONS: The implementation of prenatal risk screening to identify women at increased risk for traumatic pregnancy-associated death would help to ensure that policies to reduce infant risk factors also address maternal risk factors.


Assuntos
Morte Materna/etiologia , Mortalidade Materna , Complicações na Gravidez/diagnóstico , Complicações na Gravidez/prevenção & controle , Cuidado Pré-Natal/normas , Diagnóstico Pré-Natal/métodos , Adulto , Causas de Morte , Feminino , Florida/epidemiologia , Humanos , Valor Preditivo dos Testes , Gravidez , Complicações na Gravidez/mortalidade , Estudos Retrospectivos , Fatores de Risco , Fatores Socioeconômicos
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