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1.
Health Educ Behav ; 45(6): 898-907, 2018 12.
Artículo en Inglés | MEDLINE | ID: mdl-29589482

RESUMEN

BACKGROUND: Psychosocial factors are important determinants of health behaviors and diet-related outcomes, yet relatively little work has explored their relation to food-purchasing and preparation behaviors in low-income populations. AIM: To evaluate the psychosocial factors associated with food-related behaviors. METHODS: Cross-sectional data collected from 465 low-income African American adult caregivers in the baseline evaluation of the B'more Healthy Communities for Kids obesity prevention trial. Questionnaires were used to assess household sociodemographic characteristics, food sources frequently used, and food preparation and food acquisition behaviors. Multiple linear regression models explored the associations between caregiver psychosocial variables and food-related behaviors, controlling for caregivers' age, sex, household income, household size, and food assistance participation. RESULTS: Caregivers purchased prepared food at carry-outs on average 3.8 times (standard deviation [ SD] = 4.6) within 30 days. Less healthy foods were acquired 2 times more frequently than healthier foods ( p < .001). Higher food-related behavioral intention and self-efficacy scores were positively associated with healthier food acquisition (ß = 0.7; 95% confidence interval [CI] [0.09, 1.4]; ß = 0.04; 95% CI [0.02, 0.06]) and negatively associated with frequency of purchasing at prepared food sources (ß = -0.4; 95% CI [-0.6, -0.2]; ß = -0.5; 95% CI [-0.7, -0.3]), respectively. Higher nutrition knowledge was associated with lower frequency of purchasing food at prepared food venues (ß = -0.7; 95% CI: [-1.2, -0.2]). DISCUSSION: Our findings indicate a positive association between psychosocial determinants and healthier food acquisition and food preparation behaviors. CONCLUSION: Interventions that affect psychosocial factors (i.e., food-related behavioral intentions and self-efficacy) may have the potential to increase healthier food preparation and food-purchasing practices among low-income African American families.


Asunto(s)
Negro o Afroamericano/estadística & datos numéricos , Cuidadores/estadística & datos numéricos , Dieta Saludable/estadística & datos numéricos , Abastecimiento de Alimentos , Población Urbana , Adolescente , Adulto , Niño , Estudios Transversales , Dieta Saludable/psicología , Conducta Alimentaria/psicología , Femenino , Conductas Relacionadas con la Salud , Humanos , Intención , Masculino , Pobreza , Encuestas y Cuestionarios
2.
Transl Behav Med ; 7(4): 719-730, 2017 12.
Artículo en Inglés | MEDLINE | ID: mdl-28097627

RESUMEN

Wearable mobile health (mHealth) technologies offer approaches for targeting physical activity (PA) in resource-limited, community-based interventions. We sought to explore user characteristics of PA tracking, wearable technology among a community-based population within a health and needs assessment. In 2014-2015, we conducted the Washington, D.C., Cardiovascular Health and Needs Assessment in predominantly African-American churches among communities with higher obesity rates and lower household incomes. Participants received a mHealth PA monitor and wirelessly uploaded PA data weekly to church data collection hubs. Participants (n = 99) were 59 ± 12 years, 79% female, and 99% African-American, with a mean body mass index of 33 ± 7 kg/m2. Eighty-one percent of participants uploaded PA data to the hub and were termed "PA device users." Though PA device users were more likely to report lower household incomes, no differences existed between device users and non-users for device ownership or technology fluency. Findings suggest that mHealth systems with a wearable device and data collection hub may feasibly target PA in resource-limited communities.


Asunto(s)
Acelerometría , Ejercicio Físico , Monitores de Ejercicio , Evaluación de Necesidades , Cooperación del Paciente , Tecnología Inalámbrica , Índice de Masa Corporal , Cristianismo , District of Columbia , Femenino , Conductas Relacionadas con la Salud , Humanos , Masculino , Persona de Mediana Edad , Obesidad , Pobreza , Telemedicina , Poblaciones Vulnerables
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