RESUMO
We present a detailed argument for how to integrate, or bridge, systems science thinking and methods with implementation science. We start by showing how fundamental systems science principles of structure, dynamics, information, and utility are relevant for implementation science. Then we examine the need for implementation science to develop and apply richer theories of complex systems. This can be accomplished by emphasizing a causal mechanisms approach. Identifying causal mechanisms focuses on the "cogs and gears" of public health, clinical, and organizational interventions. A mechanisms approach focuses on how a specific strategy will produce the implementation outcome. We show how connecting systems science to implementation science opens new opportunities for examining and addressing social determinants of health and conducting equitable and ethical implementation research. Finally, we present case studies illustrating successful applications of systems science within implementation science in community health policy, tobacco control, health care access, and breast cancer screening.
Assuntos
Ciência da Implementação , Humanos , Política de Saúde , Análise de Sistemas , Determinantes Sociais da Saúde , Teoria de Sistemas , Acessibilidade aos Serviços de Saúde/organização & administração , Pesquisa sobre Serviços de Saúde/organização & administração , Saúde Pública , Neoplasias da MamaRESUMO
BACKGROUND: Heavier body mass index (BMI) is the most established predictor of earlier age at puberty. However, it is unknown whether the timing of the childhood switch to heavier BMI (age at BMI rebound) also matters for puberty. METHODS: In the LEGACY Girls Study (n = 1040), a longitudinal cohort enriched with girls with a family history of breast cancer, we collected paediatric growth chart data from 852 girls and assessed pubertal development every 6 months. Using constrained splines, we interpolated individual growth curves and then predicted BMI at ages 2, 4, 6, 8 and 9 years for 591 girls. We defined age at BMI rebound as the age at the lowest BMI between ages 2 and 8 years and assessed its association with onset of thelarche, pubarche and menarche using Weibull survival models. RESULTS: The median age at BMI rebound was 5.3 years (interquartile range: 3.6-6.7 years). A 1-year increase in age at BMI rebound was associated with delayed thelarche (HR = 0.90; 95% CI = 0.83-0.97) and menarche (HR = 0.86; 95% CI = 0.79-0.94). The magnitude of these associations remained after adjusting for weight between birth and 2 years, was stronger after adjusting for BMI at age 9, and was stronger in a subset of girls with clinically assessed breast development. CONCLUSIONS: Earlier BMI rebound is associated with earlier pubertal timing. Our observation that BMI rebound may be a driver of pubertal timing in girls with and without a family history of breast cancer provides insight into how growth and pubertal timing are associated with breast cancer risk.
Assuntos
Neoplasias da Mama , Índice de Massa Corporal , Mama , Neoplasias da Mama/epidemiologia , Neoplasias da Mama/genética , Criança , Pré-Escolar , Feminino , Humanos , Menarca , PuberdadeRESUMO
RESUMEN Objetivos. Evaluar la prevalencia de base de los trastornos de salud mental y exposiciones conexas en una cohorte de trabajadores de salud de Guatemala. Métodos Se analizó la información de base del estudio HÉROES (por COVID-19 HEalth caRe wOrkeRs Study, sobre los trabajadores de salud durante la pandemia) en Guatemala, realizado en línea en el 2020. Las variables de resultado fueron malestar psicológico y síntomas depresivos. Las exposiciones incluyeron experiencias con la COVID-19, características sociodemográficas y características del trabajo. En los análisis se utilizaron modelos de regresión de Poisson brutos y ajustados. Resultados. De los 1801 trabajadores de salud que aceptaron participar, 1522 (84,5%) completaron el cuestionario; 1014 (66,8%) eran mujeres. De los participantes, 59,1% (intervalo de confianza de 95% [IC 95%] = 56,6-61,5) tuvo un tamizaje positivo para malestar psicológico y 23% (IC 95% = 20,9-25,2) para síntomas depresivos de moderados a graves. Las experiencias con la pandemia de COVID-19, las características sociodemográficas y las características del trabajo se correlacionaron con las variables de resultado del estudio. Los participantes que estaban preocupados por el contagio de la COVID-19 tuvieron un mayor riesgo de malestar psicológico (riesgo relativo [RR] = 1,47; IC 95% = 1,30-1,66) y síntomas depresivos (RR = 1,51; IC 95% = 1,17-1,96). Asimismo, los participantes más jóvenes presentaban un riesgo alto de malestar psicológico (RR = 1,80; IC 95% = 1,24-2,63) y síntomas depresivos (razón de posibilidades [OR] = 4,58; IC 95% = 1,51-13,87). Conclusiones. Las afecciones de salud mental tienen una prevalencia sumamente alta en los trabajadores de salud de Guatemala.
ABSTRACT Objectives. To assess the baseline prevalence of mental health conditions and associated exposures in a cohort of health care workers (HCWs) in Guatemala. Methods. We analyzed baseline information from the 2020 Web-based COVID-19 Health Care Workers Study (HEROES)-Guatemala. Outcomes included mental distress and depressive symptoms. Exposures included COVID-19 experiences, sociodemographic characteristics, and job characteristics. We used crude and adjusted Poisson regression models in our analyses. Results. Of the 1801 HCWs who accepted to participate, 1522 (84.5%) completed the questionnaire; 1014 (66.8%) were women. Among the participants, 59.1% (95% confidence interval [CI] = 56.6, 61.5) screened positive for mental distress and 23% (95% CI = 20.9, 25.2) for moderate to severe depressive symptoms. COVID-19 experiences, sociodemographic characteristics, and job characteristics were associated with the study outcomes. Participants who were worried about COVID-19 infection were at higher risk of mental distress (relative risk [RR] = 1.47; 95% CI = 1.30, 1.66) and depressive symptoms (RR = 1.51; 95% CI = 1.17, 1.96). Similarly, the youngest participants were at elevated risk of mental distress (RR = 1.80; 95% CI = 1.24, 2.63) and depressive symptoms (OR = 4.58; 95% CI = 1.51, 13.87). Conclusions. Mental health conditions are highly prevalent among Guatemalan.
RESUMO Objetivos. Avaliar a prevalência basal de condições de saúde mental e exposições associadas em uma coorte de trabalhadores da saúde (TS) na Guatemala. Métodos. Analisamos as informações da linha de base do estudo on-line sobre trabalhadores da saúde e a COVID-19 (HEROES), realizado em 2020 na Guatemala. Os desfechos incluíram angústia debilitante e sintomas de depressão. As exposições incluíram experiências com a COVID-19, características sociodemográficas e características do trabalho. Usamos em nossas análises modelos de regressão bruta e ajustada de Poisson. Resultados. Dos 1801 TS que concordaram em participar, 1522 (84,5%) preencheram o questionário, sendo que 1014 (66,8%) eram mulheres. Dentre esses participantes, 59,1% (intervalo de confiança [IC] de 95%=56,6; 61,5) apresentaram resultado positivo na triagem de angústia debilitante e 23% (IC 95%=20,9, 25,2) apresentaram resultado positivo para sintomas de depressão moderados a graves. Experiências com COVID-19, e características sociodemográficas e de trabalho apresentaram associação com os resultados do estudo. Os participantes que estavam preocupados com infecção por COVID-19 apresentaram maior risco de angústia debilitante (risco relativo [RR]=1,47; IC95%=1,30; 1,66) e sintomas de depressão (RR=1,51; IC 95% =1,17; 1,96). Da mesma maneira, os participantes mais jovens apresentaram alto risco de apresentarem angústia debilitante (RR=1,80; IC 95%=1,24; 2,63) e sintomas de depressão (OR=4,58; IC 95%=1,51; 13,87). Conclusões. Condições de saúde mental são altamente prevalentes entre os guatemaltecos.