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1.
J Nutr ; 2024 Jun 26.
Artigo em Inglês | MEDLINE | ID: mdl-38936550

RESUMO

BACKGROUND: The American Academy of Pediatrics recommends juice introduction after 12 months of age. Juice consumption has been linked to childhood obesity and cardiometabolic risk. OBJECTIVES: To examine the prospective relationship between the age of juice introduction and primary and secondary cardiometabolic outcomes in middle childhood. METHODS: Parents reported the age of juice introduction on Upstate KIDS questionnaires completed between 4 and 18 months. The quantity and type of juice introduced were not measured. Anthropometry, blood pressure (BP), and arterial stiffness by pulse wave velocity (PWV) were measured for 524 children (age, 8-10 y) at study visits (2017-2019). Age- and gender-adjusted z-scores were calculated using the Centers for Disease Control and Prevention reference for anthropometrics. Plasma lipids, hemoglobin A1c (HbA1c), and C-reactive protein (CRP) in a subset of children were also measured (n = 248). Associations between age at juice introduction (categorized as <6, 6 to <12, ≥12 months), and outcomes were estimated using mean differences and odds ratios, applying generalized estimating equations to account for correlations between twins. RESULTS: Approximately 18% of children were introduced to juice at <6 months, 52% between 6 and <12 months, and 30% ≥ 12 months of age. Children who were introduced to juice before 6 months had higher systolic BP (3.13 mmHg; 95% confidence interval [CI]: 0.52, 5.74), heart rate (4.46 bpm; 95% CI: 1.05, 7.87), and mean arterial pressure (2.08 mmHg; 95% CI: 0.15, 4.00) compared with those introduced ≥12 months after covariate adjustment including sociodemographic factors and maternal prepregnancy body mass index. No adjusted differences in anthropometry, lipids, HbA1c, and CRP levels were found. CONCLUSIONS: Early juice introduction during infancy was associated with higher systolic BP, heart rate, and mean arterial pressure in middle childhood. This trial was registered at clinicaltrials.gov as NCT03106493 (https://clinicaltrials.gov/study/NCT03106493?term=upstate%20KIDS&rank=1).

2.
Environ Health Perspect ; 132(6): 67002, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38829734

RESUMO

BACKGROUND: While limited studies have evaluated the health impacts of thunderstorms and power outages (POs) separately, few have assessed their joint effects. We aimed to investigate the individual and joint effects of both thunderstorms and POs on respiratory diseases, to identify disparities by demographics, and to examine the modifications and mediations by meteorological factors and air pollution. METHODS: Distributed lag nonlinear models were used to examine exposures during three periods (i.e., days with both thunderstorms and POs, thunderstorms only, and POs only) in relation to emergency department visits for respiratory diseases (2005-2018) compared to controls (no thunderstorm/no PO) in New York State (NYS) while controlling for confounders. Interactions between thunderstorms and weather factors or air pollutants on health were assessed. The disparities by demographics and seasons and the mediative effects by particulate matter with aerodynamic diameter ≤2.5µm (PM2.5) and relative humidity (RH) were also evaluated. RESULTS: Thunderstorms and POs were independently associated with total and six subtypes of respiratory diseases in NYS [highest risk ratio (RR) = 1.12; 95% confidence interval (CI): 1.08, 1.17], but the impact was stronger when they co-occurred (highest RR = 1.44; 95% CI: 1.22, 1.70), especially during grass weed, ragweed, and tree pollen seasons. The stronger thunderstorm/PO joint effects were observed on chronic obstructive pulmonary diseases, bronchitis, and asthma (lasted 0-10 d) and were higher among residents who lived in rural areas, were uninsured, were of Hispanic ethnicity, were 6-17 or over 65 years old, and during spring and summer. The number of comorbidities was significantly higher by 0.299-0.782/case. Extreme cold/heat, high RH, PM2.5, and ozone concentrations significantly modified the thunderstorm-health effect on both multiplicative and additive scales. Over 35% of the thunderstorm effects were mediated by PM2.5 and RH. CONCLUSION: Thunderstorms accompanied by POs showed the strongest respiratory effects. There were large disparities in thunderstorm-health associations by demographics. Meteorological factors and air pollution levels modified and mediated the thunderstorm-health effects. https://doi.org/10.1289/EHP13237.


Assuntos
Poluentes Atmosféricos , Poluição do Ar , Serviço Hospitalar de Emergência , Exposição Ambiental , Material Particulado , Doenças Respiratórias , Tempo (Meteorologia) , Humanos , New York/epidemiologia , Poluentes Atmosféricos/análise , Serviço Hospitalar de Emergência/estatística & dados numéricos , Material Particulado/análise , Poluição do Ar/estatística & dados numéricos , Poluição do Ar/efeitos adversos , Doenças Respiratórias/epidemiologia , Masculino , Feminino , Exposição Ambiental/estatística & dados numéricos , Pessoa de Meia-Idade , Adulto , Idoso , Adolescente , Criança , Adulto Jovem , Estações do Ano
3.
Environ Int ; 187: 108692, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-38677086

RESUMO

BACKGROUND: Single-pollutant models have linked prenatal PM2.5 exposure to lower birthweight. However, analyzing air pollutant mixtures better captures pollutant interactions and total effects. Unfortunately, strong correlations between pollutants restrict traditional methods. OBJECTIVES: We explored the association between exposure to a mixture of air pollutants during different gestational age windows of pregnancy and birthweight. METHODS: We included 4,635 mother-infant dyads from a New York State birth cohort born 2008-2010. Air pollution data were sourced from the EPA's Community Multiscale Air Quality model and matched to the census tract centroid of each maternal home address. Birthweight and gestational age were extracted from vital records. We applied linear regression to study the association between prenatal exposure to PM2.5, PM10, NOX, SO2, and CO and birthweight during six sensitive windows. We then utilized Bayesian kernel machine regression to examine the non-linear effects and interactions within this five-pollutant mixture. Final models adjusted for maternal socio-demographics, infant characteristics, and seasonality. RESULTS: Single-pollutant linear regression models indicated that most pollutants were associated with a decrement in birthweight, specifically during the two-week window before birth. An interquartile range increase in PM2.5 exposure (IQR: 3.3 µg/m3) from the median during this window correlated with a 34 g decrement in birthweight (95 % CI: -54, -14), followed by SO2 (IQR: 2.0 ppb; ß: -31), PM10 (IQR: 4.6 µg/m3; ß: -29), CO (IQR: 60.8 ppb; ß: -27), and NOX (IQR: 7.9 ppb; ß: -26). Multi-pollutant BKMR models revealed that PM2.5, NOX, and CO exposure were negatively and non-linearly linked with birthweight. As the five-pollutant mixture increased, birthweight decreased until the median level of exposure. DISCUSSION: Prenatal exposure to air pollutants, notably PM2.5, during the final two weeks of pregnancy may negatively impact birthweight. The non-linear relationships between air pollution and birthweight highlight the importance of studying pollutant mixtures and their interactions.


Assuntos
Poluentes Atmosféricos , Poluição do Ar , Peso ao Nascer , Exposição Materna , Material Particulado , Efeitos Tardios da Exposição Pré-Natal , Humanos , Feminino , Gravidez , Peso ao Nascer/efeitos dos fármacos , Poluentes Atmosféricos/análise , Exposição Materna/estatística & dados numéricos , Exposição Materna/efeitos adversos , New York , Material Particulado/análise , Recém-Nascido , Poluição do Ar/estatística & dados numéricos , Poluição do Ar/efeitos adversos , Adulto , Masculino , Estudos de Coortes , Adulto Jovem , Modelos Lineares , Idade Gestacional , Coorte de Nascimento
4.
Ann Am Thorac Soc ; 2024 Mar 06.
Artigo em Inglês | MEDLINE | ID: mdl-38445971

RESUMO

RATIONALE: Exposure to particulate matter is associated with various adverse health outcomes. Ultrafine particles are a unique public health challenge due to their size. However, limited studies have examined their impacts on human health, especially across seasons and demographics. OBJECTIVES: To evaluate the effect of ultrafine particle exposure on the risk of visiting the emergency department for a chronic lower respiratory disease in New York State NYS, 2013-2018. METHODS: We used a case-crossover design and conditional logistic regression to estimate how ultrafine particle exposure led to chronic lower respiratory disease-related emergency department visits. GEOS-Chem-APM, a state-of-the-art chemical transport model with a size-resolved particle microphysics model, generated air pollution simulation data. We then matched ultrafine particle exposure estimates to geocoded health records for asthma, bronchiectasis, chronic bronchitis, emphysema, unspecified bronchitis, and other chronic airway obstructions in NYS from 2013-2018. In addition, we assessed interactions with age, ethnicity, race, sex, meteorological factors, and season. MEASUREMENTS AND MAIN RESULTS: Each interquartile range increase in ultrafine particle exposure led to a 0.37% increased risk of a respiratory-related emergency department visit on lag 0-0 (95% CI: 0.23-0.52%) and a 1.81% increase on lag 0-6 (95% CI: 1.58-2.03%). The highest risk was in the subtype emphysema (lag 0-5: 4.18%, 95% CI: 0.16-8.37%), followed by asthma (lag 0-6: 2.00%), chronic bronchitis (lag 0-6: 1.78%), other chronic airway obstructions (lag 0-6: 1.60%), and unspecified bronchitis (lag 0-6: 1.49%). We also found significant interactions between UFP health impacts and season (fall, 3.29%), temperature (<90th percentile, 2.27%), relative humidity (>90th percentile, 4.63%), age (children <18, 3.19%), and sex (men, 2.06%) on lag 0-6. CONCLUSION: In this study, UFP exposure increased chronic lower respiratory disease-related emergency department visits across all seasons and demographics, yet these associations varied according to various factors, which requires more research.

5.
Nutrients ; 16(5)2024 Feb 29.
Artigo em Inglês | MEDLINE | ID: mdl-38474842

RESUMO

Early infant growth trajectories have been linked to obesity risk. The aim of this study was to examine early infant feeding practices in association with anthropometric measures and risk of overweight/obesity in childhood. A total of 2492 children from Upstate KIDS, a population-based longitudinal cohort, were included for the analysis. Parents reported breastfeeding and complementary food introduction from 4 to 12 months on questionnaires. Weight and height were reported at 2-3 years of age and during later follow-up at 7-9 years of age. Age and sex z-scores were calculated. Linear mixed models were conducted, adjusting for maternal and child sociodemographic factors. Approximately 54% of infants were formula-fed at <5 months of age. Compared to those formula-fed, BMI- (adjusted B, -0.23; 95% CI: -0.42, -0.05) and weight-for-age z-scores (adjusted B, -0.16; -0.28, -0.03) were lower for those exclusively breastfed. Infants breastfed for ≥12 months had a lower risk of being overweight (aRR, 0.33; 0.18, 0.59) at 2-3 years, relative to formula-fed infants. Compared to introduction at <5 months, the introduction of fruits and vegetables between 5 and 8 months was associated with lower risk of obesity at 7-9 years (aRR, 0.45; 0.22, 0.93). The type and duration of breastfeeding and delayed introduction of certain complementary foods was associated with lower childhood BMI.


Assuntos
Sobrepeso , Obesidade Infantil , Lactente , Criança , Feminino , Humanos , Aleitamento Materno , Comportamento Alimentar , Pais , Fenômenos Fisiológicos da Nutrição do Lactente , Alimentos Infantis
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