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 (β = 0.7; 95% confidence interval [CI] [0.09, 1.4]; β = 0.04; 95% CI [0.02, 0.06]) and negatively associated with frequency of purchasing at prepared food sources (β = -0.4; 95% CI [-0.6, -0.2]; β = -0.5; 95% CI [-0.7, -0.3]), respectively. Higher nutrition knowledge was associated with lower frequency of purchasing food at prepared food venues (β = -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.
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http://dx.doi.org/10.1177/1090198118760686 | DOI Listing |
Anal Chem
January 2025
State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University, Changsha 410082, China.
To facilitate on-site detection by nonspecialists, there is a demand for the development of portable "sample-to-answer" devices capable of executing all procedures in an automated or easy-to-operate manner. Here, we developed an automated detection device that integrated a magnetofluidic manipulation system and a signal acquisition system. Both systems were controllable via a smartphone.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, P. R. China.
Urinalysis is one of the predominant tools for clinical testing owing to the abundant composition, sufficient volume, and non-invasive acquisition of urine. As a critical component of routine urinalysis, urine protein testing measures the levels and types of proteins, enabling the early diagnosis of diseases. Traditional methods require three separate steps including strip testing, protein/creatinine ratio measurement, and electrophoresis respectively to achieve qualitative, quantitative, and classification analyses of proteins in urine with long time and cumbersome operations.
View Article and Find Full Text PDFClin Pharmacokinet
January 2025
College of Pharmacy, Kyungsung University, 309, Suyeong-ro, Nam-gu, Busan, 48434, Republic of Korea.
Background And Objective: Telmisartan exhibits significant pharmacokinetic (PK) variability, but it remains unclear whether its PK profile is altered in hypertensive patients. This study aimed to characterize telmisartan PKs by conducting a meta-analysis and developing a pooled population PK model based on data from healthy subjects and hypertensive patients.
Methods: Relevant literature was identified by a systematic approach.
J Agric Food Chem
January 2025
Guangdong Subcenter of the National Center for Soybean Improvement, College of Agriculture, South China Agricultural University, Guangzhou 510642, China.
As complex quantitative traits, soybean seed oil and protein contents are governed by dynamic proteome networks that remain largely unknown. Here, we investigated the dynamic changes of the proteome during seed maturation across two soybean varieties with contrasting seed oil and protein content. Through optimizing the detectability of low-abundance proteins and utilizing library-free data-independent acquisition (directDIA) mass spectrometry, we unprecedentedly identified 7414 proteins and 3975 protein groups (PGs), substantially expanding the soybean seed proteome.
View Article and Find Full Text PDFJ Appl Microbiol
January 2025
UCD School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland.
Antimicrobial resistance (AMR), arising from decades of imprudent anthropogenic use of antimicrobials in healthcare and agriculture, is considered one of the greatest One Health crises facing healthcare globally. Antimicrobial pollutants released from human-associated sources are intensifying resistance evolution in the environment. Due to various ecological factors, wildlife interact with these polluted ecosystems, acquiring resistant bacteria and genes.
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