Objective: This study sought to evaluate the feasibility of a pilot, dyad-based lifestyle intervention, the Unidas por la Vida program, for improving weight loss and dietary intake among high-risk Mexican American mothers who have Type 2 diabetes and their overweight/obese adult daughters.
Method: Mother-daughter dyads (N = 89) were recruited from two federally qualified health centers and randomly assigned to either the Unidas intervention or to the control condition. The 16-week Unidas intervention consisted of the following: (a) four group meetings, (b) eight home visits, and (c) booster telephone calls by a lifestyle community coach. The control condition consisted of educational materials mailed to participants' homes. Participants completed surveys at T1 (baseline) and T2 (16 weeks) that assessed various demographic, social network involvement, and dietary variables.
Results: Unidas participants lost significantly more weight at T2 (p < .003) compared with the control participants. Furthermore, intervention participants also were more likely to be eating foods with lower glycemic load (p < .001) and less saturated fat (p = .004) at T2. Unidas participants also reported a significant increase in health-related social support and social control (persuasion control only) and a decrease in undermining.
Conclusions: The Unidas program promoted weight loss and improved dietary intake, as well as changes in diet-related involvement of participants' social networks. The results from this study demonstrate that interventions that draw upon multiple people who share a health-risk have the potential to foster significant changes in lifestyle behaviors and in social network members' health-related involvement. Future research that builds on these findings is needed to elucidate the specific dyadic and social network processes that may drive health behavior change.
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http://dx.doi.org/10.1037/hea0000063 | DOI Listing |
Int J Bipolar Disord
December 2024
Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt-Goethe University, Frankfurt am Main, Germany.
Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neuro-developmental disorder that often persists into adulthood. Moreover, it is frequently accompanied by bipolar disorder (BD) as well as borderline personality disorder (BPD). It is unclear whether these disorders share underlying pathomechanisms, given that all three are characterized by alterations in affective states, either long or short-term.
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December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. This work employs a combination of Particle Swarm Optimization (PSO) and Deep Q-Network (DQN) to enhance grid scheduling efficiency and clean energy utilization.
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December 2024
School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China.
Consensus algorithms play a critical role in maintaining the consistency of blockchain data, directly affecting the system's security and stability, and are used to determine the binary consensus of whether proposals are correct. With the development of blockchain-related technologies, social choice issues such as Bitcoin scaling and main chain forks, as well as the proliferation of decentralized autonomous organization (DAO) applications based on blockchain technology, require consensus algorithms to reach consensus on a specific proposal among multiple proposals based on node preferences, thereby addressing the multi-value consensus problem. However, existing consensus algorithms, including Practical Byzantine Fault Tolerance (PBFT), do not support nodes expressing preferences.
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December 2024
Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands.
Understanding the impact of different types of social interactions is key to improving epidemic models. Here, we use extensive registry data-including PCR test results and population-level networks-to investigate the impact of school, family, and other social contacts on SARS-CoV-2 transmission in the Netherlands (June 2020-October 2021). We isolate and compare different contexts of potential SARS-CoV-2 transmission by matching pairs of students based on their attendance at the same or different primary school (in 2020) and secondary school (in 2021) and their geographic proximity.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
December 2024
Department of Public Health, School of Public Health & Safety, Shahid Beheshti University of Medical Sciences, P.O. Box, Tehran, 19835-35511, Iran.
Background: This study addresses the determination of educational intervention-based on the Theory of Planned Behavior (TPB)-effectiveness on continued breastfeeding among Iranian mothers attending health centers, considering low researchers' attention to the continued breastfeeding index despite its important impact on children's health.
Methods: The present study was conducted among 230 mothers with exclusively breastfed infant (115 in the intervention group and 115 in the control group). Sampling starts with randomly selecting 12 health centers among all health centers in Karaj, Alborz province, and allocating them randomly into two equal groups of intervention and control.
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