26 research outputs found

    Variation in dietary intake and body fatness by socioeconomic status among women in the context of Costa Rican nutrition transitions

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    The Nutrition Transition model posits that vegetable oils, animal source foods (ASFs) and caloric sweeteners contribute to increases in adiposity and hence body mass index (BMI). Body Mass Index is increasing more rapidly among Latin American populations of low- versus high- socioeconomic status (SES). In Latin America, few studies have evaluated dietary intake and adiposity at the individual level or how they vary by SES. The objectives of this study among Costa Rican women are to: (1) compare indicators of adiposity and dietary intake by SES and (2) evaluate the relationship between intake of foods high in vegetable oils, ASFs or caloric sweeteners and body fatness. This cross-sectional study included 128 low-, middle- and high-SES women. Anthropometry was used to assess BMI, body composition and body fat distribution. Dietary recalls (n=379) were used to assess dietary intake. Body fat percent was greater in low- versus high-SES women (31.5±3.9 vs. 28.2±4.7%). Skinfold measurements at four sites on the upper and lower body were greater in low- versus high-SES women. BMI did not vary in low- versus high-SES women. Intake frequency of foods high in vegetable oils was greater in low- and middle- (1.8 and 1.8 times/day, respectively) versus high- (1.1 times/day) SES women. For individual foods, intake frequency varied significantly by SES for high fat condiments, fried vegetables, dairy, sweetened coffee/tea and pastries and desserts. Intake frequency of Nutrition Transition food categories was not associated with percent body fat after adjustment for energy intake. Indicators of body composition provide additional information beyond BMI that are useful in understanding SES-adiposity associations in Latin America. Approaches to understanding diet and adiposity in Latin America that focus on vegetable oils, ASFs and caloric sweeteners should consider within-country variation in the pace of the Nutrition Transition, especially when explaining variation in adiposity by SES.The Wenner-Gren Foundation/[#8738]//Estados UnidosNational Institutes of Health/[T32 DK007658–27]/NIH/Estados UnidosUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias de la Salud::Instituto de Investigaciones en Salud (INISA

    Intake of processed meats by Costa Rican women: effect of socioeconomic status

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    Introducción: El consumo de embutidos se ha asociado con serios problemas de salud que son comunes entre la población femenina. En el 2015 la Agencia Internacional para la Investigación en Cáncer clasificó los embutidos, como carcinógenos para los seres humanos ya que su ingesta está relacionada con el cáncer colorrectal. El aumento en el consumo de embutidos, los cuales son un alimento fuente de proteína de bajo costo, es diferencial según nivel socioeconómico y puede tener un impacto en la incidencia de enfermedades crónicas en la población. Objetivo: examinar la asociación entre el consumo de embutidos y (a) la ingesta total de proteína, (b) la ingesta inadecuada de proteína, según NSE. Métodos: Se seleccionó una muestra (N = 135) de mujeres de 25 a 45 años, con 1 a 4 hijos, pertenecientes a tres diferentes niveles socioeconómicos, residentes de dos cantones del Gran Área Metropolitana de San José, Costa Rica, entre junio 2014 y marzo 2015. Mediante el uso de fotografías se indagó la percepción de las mujeres en cuanto al costo y su preferencia de consumo de 12 distintos alimentos, entre los cuales se incluyó los embutidos. Por medio de recordatorios alimentarios de 24 horas recolectados en tres visitas diferentes, y el uso de la base de datos de composición de alimentos ValorNut, se midió el consumo de proteína total en gramos y se determinó la cantidad promedio de veces por día que las mujeres consumen embutidos. A partir del peso de cada participante se determinó su requerimiento de proteína. La ingesta inadecuada de proteína se estimó como la diferencia entre el requerimiento y la ingesta observada. Mediante un modelo de regresión lineal se determinó la asociación entre el consumo total de proteína medido en gramos y la cantidad de veces por día que se ingiere embutidos. Mediante un modelo de regresión logística se estimó la asociación entre la ingesta inadecuada de proteína y la cantidad de veces por día que se ingiere embutidos. Resultados: Los embutidos son percibidos como la fuente de proteína menos apetecible, sin embargo, fue la tercera fuente de proteína más consumida. El consumo de embutidos difiere según NSE (P < 0.01), en el alto NSE es donde se consumen con menor frecuencia. Los embutidos más comúnmente consumidos fueron mortadela (bajo NSE), salchichón (NSE medio), y jamón de pavo (alto NSE). El consumo de embutidos se asocia significativamente con un incremento en la ingesta de proteína. Se encontró una asociación inversa entre el NSE y la ingesta inadecuada de proteína. Conclusiones: El consumo de embutidos está asociado con el nivel socioeconómico. Es probable que las mujeres consuman embutidos porque los perciben como un alimento fuente de proteína de bajo costo. Se requiere establecer estrategias educativas que ayuden a las mujeres a identificar sus necesidades alimentarias de proteína y a conciliar estas necesidades con la adquisición de alimentos saludables a un costo aceptable.Introduction: Intake of processed meats has been associated with serious health problems that are common among women. In 2015, the International Agency for Research on Cancer classified processed meats as human carcinogens, associated specifically with colon cancer. The increase in intake of processed meats, which are a low-cost source of dietary protein, varies by socioeconomic status (SES) and can impact chronic disease incidence. Objective: Examine the association between processed meats intake and (a) total protein intake, (b) inadequate protein intake, by SES. Methods: This study included a representative sample (N = 135) of women age 25 to 45 years, with one to four children, from three different socioeconomic groups who were residents of two counties from the Greater Metropolitan Area of San José, Costa Rica between June 2014 and March 2015. Using photographs, we examined women’s perceptions of the cost and perceived desirability of 12 different foods, including processed meats. Using 24-hour dietary recalls collected on three different days, and the ValorNut food composition database, we estimated total protein intake, in grams, and determined the intake frequency (times/day) of processed meat. Each women’s dietary protein requirement was estimated based on her bodyweight. Inadequate protein intake was calculated as the difference between protein requirement and actual intake. A linear regression model was used to determine the association between total protein intake in grams and intake frequency (times/day) of processed meat. A logistic regression model was used to estimate the association between low protein intake and intake frequency (times/day) of processed meat. Results: Processed meats were perceived as the least preferred protein source but were the third most commonly consumed protein source. Consumption of processed meats differed by SES and was lower in the higher SES group (P < 0.01). The most commonly consumed processed meats by SES were “mortadella” (low-SES), sausages (middle-SES), and sliced turkey/ham (high-SES). Processed meat intake was significantly associated with an increase in protein intake. There was an inverse association between SES and inadequate protein intake. Conclusions: Processed meat intake is associated with SES. Women may consume processed meats because they are perceived to be a low-cost protein source. Educational strategies are needed to help women identify their protein needs and meet those needs with healthier and affordable dietary alternatives.UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias de la Salud::Instituto de Investigaciones en Salud (INISA)UCR::Vicerrectoría de Docencia::Salud::Facultad de Medicina::Escuela de Nutrició

    Measurement Bias in Caregiver-Report of Early Childhood Behavior Problems across Demographic Factors in an Echo-Wide Diverse Sample

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    BACKGROUND: Research and clinical practice rely heavily on caregiver-report measures, such as the Child Behavior Checklist 1.5-5 (CBCL/1.5-5), to gather information about early childhood behavior problems and to screen for child psychopathology. While studies have shown that demographic variables influence caregiver ratings of behavior problems, the extent to which the CBCL/1.5-5 functions equivalently at the item level across diverse samples is unknown. METHODS: Item-level data of CBCL/1.5-5 from a large sample of young children ( RESULTS: Items with the most impactful DIF across child and caregiver groupings were identified for Internalizing, Externalizing, and total Problems. The robust item sets, excluding the high DIF items, showed good reliability and high correlation with the original Internalizing and total Problems scales, with lower reliability for Externalizing. Language version of CBCL administration, education level and sex of the caregiver respondent showed the most significant impact on MI, followed by child age. Sensitivity analyses revealed that child race has a unique impact on DIF over and above socioeconomic status. CONCLUSIONS: The CBCL/1.5-5, a caregiver-report measure of early childhood behavior problems, showed bias across demographic groups. Robust item sets with less DIF can measure Internalizing and total Problems equally as well as the full item sets, with slightly lower reliability for Externalizing, and can be crosswalked to the metric of the full item set, enabling calculation of normed T scores based on more robust item sets

    Spiritual Well-Being and Depression in Patients with Heart Failure

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    BACKGROUND: In patients with chronic heart failure, depression is common and associated with poor quality of life, more frequent hospitalizations, and higher mortality. Spiritual well-being is an important, modifiable coping resource in patients with terminal cancer and is associated with less depression, but little is known about the role of spiritual well-being in patients with heart failure. OBJECTIVE: To identify the relationship between spiritual well-being and depression in patients with heart failure. DESIGN: Cross-sectional study. PARTICIPANTS: Sixty patients aged 60 years or older with New York Heart Association class II–IV heart failure. MEASUREMENTS: Spiritual well-being was measured using the total scale and 2 subscales (meaning/peace, faith) of the Functional Assessment of Chronic Illness Therapy—Spiritual Well-being scale, depression using the Geriatric Depression Scale—Short Form (GDS-SF). RESULTS: The median age of participants was 75 years. Nineteen participants (32%) had clinically significant depression (GDS-SF > 4). Greater spiritual well-being was strongly inversely correlated with depression (Spearman’s correlation −0.55, 95% confidence interval −0.70 to −0.35). In particular, greater meaning/peace was strongly associated with less depression (r = −.60, P < .0001), while faith was only modestly associated (r = −.38, P < .01). In a regression analysis accounting for gender, income, and other risk factors for depression (social support, physical symptoms, and health status), greater spiritual well-being continued to be significantly associated with less depression (P = .05). Between the 2 spiritual well-being subscales, only meaning/peace contributed significantly to this effect (P = .02) and accounted for 7% of the variance in depression. CONCLUSIONS: Among outpatients with heart failure, greater spiritual well-being, particularly meaning/peace, was strongly associated with less depression. Enhancement of patients’ sense of spiritual well-being might reduce or prevent depression and thus improve quality of life and other outcomes in this population

    Opportunities for understanding the COVID-19 pandemic and child health in the United States: the Environmental influences on Child Health Outcomes (ECHO) program

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    Objective Ongoing pediatric cohort studies offer opportunities to investigate the impact of the COVID-19 pandemic on children's health. With well-characterized data from tens of thousands of US children, the Environmental influences on Child Health Outcomes (ECHO) Program offers such an opportunity. Methods ECHO enrolled children and their caregivers from community- and clinic-based pediatric cohort studies. Extant data from each of the cohorts were pooled and harmonized. In 2019, cohorts began collecting data under a common protocol, and data collection is ongoing with a focus on early life environmental exposures and five child health domains: birth outcomes, neurodevelopment, obesity, respiratory, and positive health. In April of 2020, ECHO began collecting a questionnaire designed to assess COVID-19 infection and the pandemic's impact on families. We describe and summarize the characteristics of children who participated in the ECHO Program during the COVID-19 pandemic and novel opportunities for scientific advancement. Results This sample (n = 13,725) was diverse by child age (31% early childhood, 41% middle childhood, and 16% adolescence up to age 21), sex (49% female), race (64% White, 15% Black, 3% Asian, 2% American Indian or Alaska Native, <1% Native Hawaiian or Pacific Islander, 10% Multiple race and 2% Other race), Hispanic ethnicity (22% Hispanic), and were similarly distributed across the four United States Census regions and Puerto Rico. Conclusion ECHO data collected during the pandemic can be used to conduct solution-oriented research to inform the development of programs and policies to support child health during the pandemic and in the post-pandemic era

    Sociodemographic Differences in COVID-19 Pandemic Experiences Among Families in the United States

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    Few population-based studies in the US collected individual-level data from families during the COVID-19 pandemic.To examine differences in COVID-19 pandemic–related experiences in a large sociodemographically diverse sample of children and caregivers.The Environmental influences on Child Health Outcomes (ECHO) multi-cohort consortium is an ongoing study that brings together 64 individual cohorts with participants (24 757 children and 31 700 caregivers in this study) in all 50 US states and Puerto Rico. Participants who completed the ECHO COVID-19 survey between April 2020 and March 2022 were included in this cross-sectional analysis. Data were analyzed from July 2021 to September 2022.Exposures of interest were caregiver education level, child life stage (infant, preschool, middle childhood, and adolescent), and urban or rural (population &lt;50 000) residence. Dependent variables included COVID-19 infection status and testing; disruptions to school, child care, and health care; financial hardships; and remote work. Outcomes were examined separately in logistic regression models mutually adjusted for exposures of interest and race, ethnicity, US Census division, sex, and survey administration date.Analyses included 14 646 children (mean [SD] age, 7.1 [4.4] years; 7120 [49%] female) and 13 644 caregivers (mean [SD] age, 37.6 [7.2] years; 13 381 [98%] female). Caregivers were racially (3% Asian; 16% Black; 12% multiple race; 63% White) and ethnically (19% Hispanic) diverse and comparable with the US population. Less than high school education (vs master’s degree or more) was associated with more challenges accessing COVID-19 tests (adjusted odds ratio [aOR], 1.88; 95% CI, 1.06-1.58), lower odds of working remotely (aOR, 0.04; 95% CI, 0.03-0.07), and more food access concerns (aOR, 4.14; 95% CI, 3.20-5.36). Compared with other age groups, young children (age 1 to 5 years) were least likely to receive support from schools during school closures, and their caregivers were most likely to have challenges arranging childcare and concerns about work impacts. Rural caregivers were less likely to rank health concerns (aOR, 0.77; 95% CI, 0.69-0.86) and social distancing (aOR, 0.82; 95% CI, 0.73-0.91) as top stressors compared with urban caregivers.Findings in this cohort study of US families highlighted pandemic-related burdens faced by families with lower socioeconomic status and young children. Populations more vulnerable to public health crises should be prioritized in recovery efforts and future planning

    Using the Protein Leverage Hypothesis to understand socioeconomic variation in obesity

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    The protein leverage hypothesis (PLH) predicts that protein appetite will stimulate excess energy intake, and consequently obesity, when the proportion of protein in the diet is low. Experimental studies support the PLH, but whether protein leverage can be used to understand socioeconomic (SES) variation in obesity is unknown. The objective of this study was to test two hypotheses from the PLH under non-experimental conditions. Consistent with the PLH, we expect that (1) absolute protein intake will be similar across populations, here defined as SES groups and, (2) the proportion of protein in the diet will be inversely associated with energy intake.The Wenner-Gren Foundation, Dissertation Fieldwork Grant/[8738]//Estados UnidosUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias de la Salud::Instituto de Investigaciones en Salud (INISA
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