Background: The prevalence of diabetes is alarmingly high among Mexican American adults residing near the U.S.-Mexico border. Depression is also common among Mexican Americans with diabetes, and may have a negative influence on diabetes management. Thus, the purpose of the current study was to evaluate the associations of depression and anxiety with the behavioral management of diabetes and glycemic control among Mexican American adults living near the border.
Methods: The characteristics of Mexican Americans with diabetes living in Brownsville, TX (N = 492) were compared by depression/anxiety status. Linear regression models were conducted to evaluate the associations of depression and anxiety with BMI, waist circumference, physical activity, fasting glucose, and glycated hemoglobin (HbA1c).
Results: Participants with clinically significant depression and/or anxiety were of greater age, predominantly female, less educated, more likely to have been diagnosed with diabetes, and more likely to be taking diabetes medications than those without depression or anxiety. In addition, anxious participants were more likely than those without anxiety to have been born in Mexico and to prefer study assessments in Spanish rather than English. Greater depression and anxiety were associated with poorer behavioral management of diabetes (i.e., greater BMI and waist circumference; engaging in less physical activity) and poorer glycemic control (i.e., higher fasting glucose, HbA1c).
Conclusions: Overall, depression and anxiety appear to be linked with poorer behavioral management of diabetes and glycemic control. Findings highlight the need for comprehensive interventions along the border which target depression and anxiety in conjunction with diabetes management.
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http://dx.doi.org/10.1186/1471-2458-14-176 | DOI Listing |
JMIR Form Res
December 2024
Department of Communication, Stanford University, Stanford, US.
Background: Contrary to popular concerns about the harmful effects of media use on mental health, research on this relationship is ambiguous, stalling advances in theory, interventions, and policy. Scientific explorations of the relationship between media and mental health have mostly found null or small associations, with the results often blamed on the use of cross-sectional study designs or imprecise measures of media use and mental health.
Objective: This exploratory empirical demonstration aimed to answer whether mental health effects are associated with media use experiences by (1) redirecting research investments to granular and intensive longitudinal recordings of digital experiences to build models of media use and mental health for single individuals over the course of one entire year, (2) using new metrics of fragmented media use to propose explanations of mental health effects that will advance person-specific theorizing in media psychology, and (3) identifying combinations of media behaviors and mental health symptoms that may be more useful for studying media effects than single measures of dosage and affect or assessments of clinical symptoms related to specific disorders.
J Neurosci Nurs
January 2025
Soomin Lim, MD RN, College of Nursing, Seoul National University, Seoul, Korea.
BACKGROUND: Patients with brain tumors continue to exhibit a lower quality of life than the general population, even after an extended period after surgery. Therefore, this study aimed to assess the postoperative quality of life of patients with brain tumors in South Korea and explore its determinants. METHODS: This study used a descriptive correlational design and collected data using questionnaires and electronic medical records.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
View Article and Find Full Text PDFJ Trauma Nurs
January 2025
Author Affiliations: Department of Neurosurgery (Dr Xiao), Department of Nursing Care, Affiliated Hospital of Chengdu University, Chengdu, China (Dr Wang).
Background: Traditional nursing care often fails to meet the complex needs of hypertensive cerebral hemorrhage patients. Limited evidence exists on the efficacy of structured nursing frameworks such as the Omaha System in postoperative care for these patients.
Objective: This study aims to evaluate the efficacy of Omaha-based extended nursing care in improving patients' outcomes.
PLoS One
January 2025
Institute of Mental Health, Nottingham, United Kingdom.
Background: There is an urgent need to better understand the factors that predict mental wellbeing in vocationally active adults during globally turbulent times.
Aim: To explore the relationship between psychological detachment from work (postulated as a key recovery activity from work) in the first national COVID-19 lockdown with health, wellbeing, and life satisfaction of working age-adults one year later, within the context of a global pandemic.
Methods: Wellbeing of the Workforce (WoW) was a prospective longitudinal cohort study, with two waves of data collection (Time 1, April-June 2020: T1 n = 337; Time 2, March-April 2021: T2 = 169) corresponding with the first and third national COVID-19 lockdowns in the UK.
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