RESUMEN
Limited information on current dietary patterns of Native American (NA) adults exists. This paper describes the dietary intake of 582 NA adults, aged 19-75 years, living in six communities in New Mexico and Wisconsin in 2016-2017 and compares macronutrient and micronutrient intakes, estimated via a semi-quantitative 30-day Block Food Frequency Questionnaire, among different age and sex groups. NA adults consumed a diet high in % energy from total fat, saturated fat, added sugars, and sodium. A general trend of lower micronutrient intakes with increasing age was observed. Health professionals can apply this information to develop effective and culturally relevant nutrition interventions. Abbreviations: NA = Native American; CVD = Cardiovascular diseases; IOM = Institute of Medicine; IRB = Institutional Review Board; AIQ = Adult Impact Questionnaire; FFQ = Food Frequency Questionnaire; NHANES = National Health and Nutrition Examination Survey; NHNS: Navajo Health and Nutrition Survey.
Asunto(s)
Indio Americano o Nativo de Alaska , Dieta , Ingestión de Alimentos , Adulto , Anciano , Estudios Transversales , Grasas de la Dieta/administración & dosificación , Azúcares de la Dieta/administración & dosificación , Ingestión de Energía , Femenino , Humanos , Masculino , Micronutrientes/administración & dosificación , Persona de Mediana Edad , New Mexico , Nutrientes/administración & dosificación , Encuestas Nutricionales , Sodio en la Dieta/administración & dosificación , Vitaminas/administración & dosificación , Wisconsin , Adulto JovenRESUMEN
Social media and text messaging show promise as public health interventions, but little evaluation of implementation exists. The B'more Healthy Communities for Kids (BHCK) was a multilevel, multicomponent (wholesalers, food stores, recreation centers) childhood obesity prevention trial that included social media and text-messaging components. The BHCK was implemented in 28 low-income areas of Baltimore City, Maryland, in 2 waves. The texting intervention targeted 241 low-income African American caregivers (of 283), who received 3 texts/week reinforcing key messages, providing nutrition information, and weekly goals. Regular posting on social media platforms (Facebook, Instagram, Twitter) targeted community members and local stakeholders. High implementation standards were set a priori (57 for social media, 11 for texting), with low implementation defined as <50%, medium as 50% to 99%, high as ≥100% of the high standard for each measure. Reach, dose delivered, and fidelity were assessed via web-based analytic tools. Between waves, social media implementation improved from low-moderate to high reach, dose delivered, and fidelity. Text messaging increased from moderate to high in reach and dose delivered, fidelity decreased from high to moderate. Data were used to monitor and revise the BHCK intervention throughout implementation. Our model for evaluating text messaging-based and social media-based interventions may be applicable to other settings.
Asunto(s)
Promoción de la Salud/métodos , Obesidad Infantil/prevención & control , Medios de Comunicación Sociales/estadística & datos numéricos , Envío de Mensajes de Texto/estadística & datos numéricos , Adolescente , Negro o Afroamericano , Baltimore , Cuidadores/psicología , Niño , Humanos , PobrezaRESUMEN
Objective: We aimed to explore the association between food insecurity and depression among early care and education (ECE) workers, a vulnerable population often working in precarious conditions. Design: We utilized cross-sectional data from a study exploring the effects of wage on ECE centers. Participants were enrolled between August 2017 and December 2018. Food insecurity was measured using the validated six-item U.S. Household Food Security Survey Module and participants were categorized as food secure (score = 0-1), low food security (score = 2-4), and very low food security (score = 5-6). Depression (defined as a score ≥ 16) was measured using the 20-item Center for Epidemiologic Studies Depression Scale-Revised. We employed a logistic regression model to examine the relationship between food insecurity and depression. All models controlled for marital status, nativity, race/ethnicity, number of children in the household, job title, weekly hours of work, education, income, and study site. Setting: Participants were from Seattle (40%) and South King County (26%), Washington, and Austin, Texas (34%). Participants: Participants included 313 ECE workers from 49 ECE centers. Results: A majority of participants were female, non-Hispanic White, born in the U.S., and did not have children. Compared to being food secure, very low and low food insecurities were associated with a 4.95 (95% confidence interval (CI): 2.29, 10.67) and 2.69 (95% CI: 1.29, 5.63) higher odds of depression, respectively. Conclusions: Policies and center-level interventions that address both food insecurity and depression may be warranted, in order to protect and improve the health of this valuable, yet vulnerable, segment of the U.S. workforce.