Background: The effect of maternal weight on pregnancy and birth outcomes is of great public health concern. For example, overweight and obesity among pregnant women is associated with adverse reproductive health outcomes including gestational diabetes, birth defects, macrosomia and infant mortality.
Objectives: To understand the knowledge, perceptions and experiences during pregnancy among overweight and obese women in Singapore.
Methods: This is a cross-sectional study which employed qualitative techniques. The inclusion criteria is as follows: (1) Women who were overweight or obese before or during first trimester of pregnancy, (2) are able to report their specific pre-pregnancy or first trimester Body Mass Index (BMI), or weight and height, (3) had singleton pregnancy when overweight, are post-delivery for the pregnancy in which they were overweight, and (4) are 21 to 55 years old. Fifteen interviews were voice-recorded and transcribed verbatim. Then, two researchers independently performed the thematic analysis of the transcripts.
Results: The findings revealed that women had gaps in knowledge on the adverse effects of maternal overweight and obesity during pregnancy, and various misconceptions on diet and weight management during pregnancy were prevalent. Conflicting data was obtained for perceptions on the importance, difficulty and levels of motivation for weight management during pregnancy.
Conclusion: There is a pressing need to address knowledge gaps and misconceptions of pregnant women who are overweight or obese. The importance of weight management during pregnancy should be emphasized, and enabling factors put in place.
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http://dx.doi.org/10.1080/16549716.2018.1499199 | DOI Listing |
This study intends to optimize the carbon footprint management model of power enterprises through artificial intelligence (AI) technology to help the scientific formulation of carbon emission reduction strategies. Firstly, a carbon footprint calculation model based on big data and AI is established, and then machine learning algorithm is used to deeply mine the carbon emission data of power enterprises to identify the main influencing factors and emission reduction opportunities. Finally, the driver-state-response (DSR) model is used to evaluate the carbon audit of the power industry and comprehensively analyze the effect of carbon emission reduction.
View Article and Find Full Text PDFPLoS One
January 2025
Logistics service company, Civil Aviation Flight University of China, Guanghan, Sichuan, China.
The risk assessment and prevention in traditional airport safety assurance usually rely on human experience for analysis, and there are problems such as heavy manual workload, excessive subjectivity, and significant limitations. This article proposed a risk assessment and prevention mechanism for airport security assurance that integrated LSTM algorithm. It analyzed the causes of malfunctioning flights by collecting airport flight safety log datasets.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Human Kinetics, Université du Québec à Trois-Rivières, Trois-Rivières, Québec, Canada.
Demographic aging and extended working lives have prompted interest in the physiological changes that occur with age, particularly in the lumbar spine. Age-related declines in muscle quality and intervertebral disc alterations may reduce muscular endurance, strength, and postural stability, potentially increasing the risk of musculoskeletal injuries in older workers. As experienced workers play an important role in addressing labor shortages, understanding the impact of age-related physiological changes on the biomechanical properties of the lumbar spine is key to ensure safe and sustainable employment for aging individuals.
View Article and Find Full Text PDFBackground And Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) and its more severe subtype, metabolic dysfunction-associated steatohepatitis (MASH), are highly prevalent and strongly associated with obesity and type 2 diabetes (T2D). This study sought to identify challenges to the diagnosis, treatment and management of people living with MASLD and MASH and understand the key barriers to adopting relevant clinical guidelines.
Methods: A real-world, cross-sectional study (BARRIERS-MASLD) consisting of a quantitative survey and qualitative interviews of physicians in France, Germany, Italy, Spain and the United Kingdom was conducted from March to September 2023.
JAMA Health Forum
January 2025
Department of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Importance: 2021 Advance child tax credit (ACTC) monthly payments were associated with reduced US child poverty rates; however, policymakers have expressed concerns that permanent adoption would increase parental substance use.
Objective: To assess whether 2021 ACTC monthly payments were temporally associated with changes in substance use among parents compared with adults without children.
Design, Setting, And Participants: The primary sample included adults aged 18 to 64 years who responded to the National Survey on Drug Use and Health in 2021.
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