• Mashup Score: 8

    Background Prediabetes is the earliest identifiable stage of glycemic dysregulation, and its progression can be delayed by effective control of risk factors. Currently, various risk factors for the progression from prediabetes to type 2 diabetes mellitus (T2DM) need to be further summarized. Objective This systematic evaluation of the risk factors for the progression of prediabetes to type 2 diabetes mellitus provides a theoretical basis for early recognition and intervention. The meta-analysis identifies the Fatty Liver Index as a significant risk factor [OR = 6.14, 95% CI (5.22, 7.22)] for the progression from prediabetes to type 2 diabetes, highlighting its predictive value. Methods PubMed, Web of Science, Embase, The Cochrane Library, CNKI, WANFANG, and VIP databases were searched to collect cohort studies on risk factors for progressing to type 2 diabetes in prediabetes from inception to February 15, 2024. STATA 17.0 was used for Meta-analysis. Results A total of 59 studies were i

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    • A study in #BMCPublicHealth finds that age, male sex, family history, high BMI, unhealthy lifestyle, anxiety, depression, high BP and triglycerides, and high fatty liver index are risk factors for the progression from prediabetes to type 2 diabetes. https://t.co/YX02hIkh5W

  • Mashup Score: 6

    Background Poor sleep quality not only diminishes people’s quality of life and work efficiency but is also closely associated with various diseases. A reasonable exercise regimen can improve sleep quality to some extent, but there is a lack of comparative studies on the effects of different types of exercise, especially varying exercise doses, on sleep quality. Objective To systematically evaluate the effects of different exercise modalities and doses on sleep quality. Methods A search was conducted in PubMed, Web of Science, EBSCO, Cochrane Library, and China National Knowledge Infrastructure (CNKI) databases for randomized controlled trials (RCTs) on the effects of different exercise modalities on sleep quality, from database inception to November 2024. Two researchers independently screened the literature, extracted data, and assessed the risk of bias in the included studies. Network meta-analysis and dose-response analysis were performed using Stata 16.0 and R software with a rando

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    • A Systematic Review published in #BMCPublicHealth finds that exercise modalities significantly improve sleep quality, with Pilates being the most effective, followed by aerobic exercise and combined aerobic and resistance training. https://t.co/5sBs996sMS

  • Mashup Score: 0

    Objective This study aimed to investigate the associations between the Dietary Inflammatory Index (DII) and cardiovascular (CV)/non-CV mortality in hypertensive individuals, and to explore sex-specific differences. Methods Sixteen thousand six hundred twenty-three individuals with hypertension were selected from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2018 and divided into groups of males and females. We used multivariate Cox proportional hazards models, competing risk regression, restricted cubic splines (RCS), propensity score matching (PSM), and decision curve analysis (DCA) to evaluate the associations between the DII and CV/non-CV mortality. Results After fully adjusting for potential confounders, individuals with the highest DII score had a 35 percent higher CV mortality than those with the lowest DII score, observed in females but not in males. Across the cohort, there was a significant association between DII and non-CV mortality. RCS results

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    • High dietary inflammatory index is only associated with increased cardiovascular mortality in females with hypertension, but not in males, reports a study published in #BMCPublicHealth https://t.co/Tb8fqkdtDH

  • Mashup Score: 2

    Background People with Myalgic Encephalomyelitis (ME/CFS; sometimes referred to as chronic fatigue syndrome) experience poor health-related quality of life and only rarely recover. ME/CFS has no curative treatment, and no single diagnostic test. Public health and policy decisions relevant to ME/CFS require knowledge of its prevalence and barriers to diagnosis. However, people with ME/CFS report lengthy diagnostic delays and prevalence estimates vary greatly due to uneven diagnosis and misdiagnosis. Factors that influence diagnosis could be revealed by stratifying a single population by gender, age and ethnicity. Methods Hospital Episode Statistics data, routinely collected by the NHS in England, was downloaded from the Feasibility Self-Service of NHS DigiTrials. This was used to stratify individuals with the ICD-10 code that best reflects ME/CFS symptoms (G93.3) according to age, self-reported gender and ethnicity, General Practice and NHS England Integrated Care Board (ICB). Results I

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    • A study published in #BMCPublicHealth finds that in England, other-than-white ethnic groups, older females above 60, older males above 80, and people living in areas of multiple deprivation are disproportionately undiagnosed with chronic fatigue syndrome. https://t.co/EEApZ2EdNr

  • Mashup Score: 6

    Background Exposure to air pollution specifically particulate matter causes significant health risk to children which increases their susceptibility to respiratory diseases. Objectives This review aimed to pool the association between particulate matter exposure and childhood asthma and wheeze among children and adolescents. Methods This review included observational study articles retrieved from electronic data bases such as PubMed, Google Scholar, Hinari, Science Direct, and Semantic Scholar from 1996 to June 17, 2024. Data were extracted and analyzed using Microsoft Excel 16 and STATA version 17, respectively. Joanna Briggs Institute evaluation criteria and I2 test statistics were used for quality and heterogeneity assessment, respectively. Results Fourty seven studies with a total of 417,874 of children and adolescents met the inclusion criteria. The pooled odd ratio (OR) of the association between Particulate Matter with a diameter of 10 micrometers or less (PM10) and Particulate

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    • A systematic review and meta-analysis published in #BMCPublicHealth finds that exposure to particulate matter (particularly PM10 and PM2.5) is associated with increased odds of asthma and wheezing among children and adolescents. https://t.co/GdBrNnWpjR

  • Mashup Score: 2

    Background People with Myalgic Encephalomyelitis (ME/CFS; sometimes referred to as chronic fatigue syndrome) experience poor health-related quality of life and only rarely recover. ME/CFS has no curative treatment, and no single diagnostic test. Public health and policy decisions relevant to ME/CFS require knowledge of its prevalence and barriers to diagnosis. However, people with ME/CFS report lengthy diagnostic delays and prevalence estimates vary greatly due to uneven diagnosis and misdiagnosis. Factors that influence diagnosis could be revealed by stratifying a single population by gender, age and ethnicity. Methods Hospital Episode Statistics data, routinely collected by the NHS in England, was downloaded from the Feasibility Self-Service of NHS DigiTrials. This was used to stratify individuals with the ICD-10 code that best reflects ME/CFS symptoms (G93.3) according to age, self-reported gender and ethnicity, General Practice and NHS England Integrated Care Board (ICB). Results I

    Tweet Tweets with this article
    • A study published in #BMCPublicHealth finds that in England, other-than-white ethnic groups, older females above 60, older males above 80, and people living in areas of multiple deprivation are disproportionately undiagnosed with chronic fatigue syndrome. https://t.co/EEApZ2EdNr

  • Mashup Score: 1

    Background Poor sleep quality not only diminishes people’s quality of life and work efficiency but is also closely associated with various diseases. A reasonable exercise regimen can improve sleep quality to some extent, but there is a lack of comparative studies on the effects of different types of exercise, especially varying exercise doses, on sleep quality. Objective To systematically evaluate the effects of different exercise modalities and doses on sleep quality. Methods A search was conducted in PubMed, Web of Science, EBSCO, Cochrane Library, and China National Knowledge Infrastructure (CNKI) databases for randomized controlled trials (RCTs) on the effects of different exercise modalities on sleep quality, from database inception to November 2024. Two researchers independently screened the literature, extracted data, and assessed the risk of bias in the included studies. Network meta-analysis and dose-response analysis were performed using Stata 16.0 and R software with a rando

    Tweet Tweets with this article
    • A Systematic Review published in #BMCPublicHealth finds that exercise modalities significantly improve sleep quality, with Pilates being the most effective, followed by aerobic exercise and combined aerobic and resistance training. https://t.co/5sBs996sMS