Displaying publications 1 - 20 of 43 in total

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  1. Solomon T, Ooi MH, Beasley DW, Mallewa M
    BMJ, 2003 Apr 19;326(7394):865-9.
    PMID: 12702624
  2. Mothupi M, Dasgupta J, Hosseini Jebeli SS, Stevenson J, Berdichevsky K, Vong S, et al.
    BMJ, 2023 Jun 07;381:e072243.
    PMID: 37286226 DOI: 10.1136/bmj-2022-072243
    Intersectional analysis and action are needed to prepare for future pandemics and ensure more inclusive health services, say Mamothena Mothupi and colleagues
  3. Lane MM, Gamage E, Du S, Ashtree DN, McGuinness AJ, Gauci S, et al.
    BMJ, 2024 Feb 28;384:e077310.
    PMID: 38418082 DOI: 10.1136/bmj-2023-077310
    OBJECTIVE: To evaluate the existing meta-analytic evidence of associations between exposure to ultra-processed foods, as defined by the Nova food classification system, and adverse health outcomes.

    DESIGN: Systematic umbrella review of existing meta-analyses.

    DATA SOURCES: MEDLINE, PsycINFO, Embase, and the Cochrane Database of Systematic Reviews, as well as manual searches of reference lists from 2009 to June 2023.

    ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Systematic reviews and meta-analyses of cohort, case-control, and/or cross sectional study designs. To evaluate the credibility of evidence, pre-specified evidence classification criteria were applied, graded as convincing ("class I"), highly suggestive ("class II"), suggestive ("class III"), weak ("class IV"), or no evidence ("class V"). The quality of evidence was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework, categorised as "high," "moderate," "low," or "very low" quality.

    RESULTS: The search identified 45 unique pooled analyses, including 13 dose-response associations and 32 non-dose-response associations (n=9 888 373). Overall, direct associations were found between exposure to ultra-processed foods and 32 (71%) health parameters spanning mortality, cancer, and mental, respiratory, cardiovascular, gastrointestinal, and metabolic health outcomes. Based on the pre-specified evidence classification criteria, convincing evidence (class I) supported direct associations between greater ultra-processed food exposure and higher risks of incident cardiovascular disease related mortality (risk ratio 1.50, 95% confidence interval 1.37 to 1.63; GRADE=very low) and type 2 diabetes (dose-response risk ratio 1.12, 1.11 to 1.13; moderate), as well as higher risks of prevalent anxiety outcomes (odds ratio 1.48, 1.37 to 1.59; low) and combined common mental disorder outcomes (odds ratio 1.53, 1.43 to 1.63; low). Highly suggestive (class II) evidence indicated that greater exposure to ultra-processed foods was directly associated with higher risks of incident all cause mortality (risk ratio 1.21, 1.15 to 1.27; low), heart disease related mortality (hazard ratio 1.66, 1.51 to 1.84; low), type 2 diabetes (odds ratio 1.40, 1.23 to 1.59; very low), and depressive outcomes (hazard ratio 1.22, 1.16 to 1.28; low), together with higher risks of prevalent adverse sleep related outcomes (odds ratio 1.41, 1.24 to 1.61; low), wheezing (risk ratio 1.40, 1.27 to 1.55; low), and obesity (odds ratio 1.55, 1.36 to 1.77; low). Of the remaining 34 pooled analyses, 21 were graded as suggestive or weak strength (class III-IV) and 13 were graded as no evidence (class V). Overall, using the GRADE framework, 22 pooled analyses were rated as low quality, with 19 rated as very low quality and four rated as moderate quality.

    CONCLUSIONS: Greater exposure to ultra-processed food was associated with a higher risk of adverse health outcomes, especially cardiometabolic, common mental disorder, and mortality outcomes. These findings provide a rationale to develop and evaluate the effectiveness of using population based and public health measures to target and reduce dietary exposure to ultra-processed foods for improved human health. They also inform and provide support for urgent mechanistic research.

    SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42023412732.

  4. Connett GJ, Lee BW
    BMJ, 1994 May 14;308(6939):1282-4.
    PMID: 8205023
    Though Western medicines and ideas about asthma have become popular in many Asian nations, local beliefs about treatment prevail. The multiracial society of Singapore shows a variety of beliefs about causes of asthma attacks (for example, the balance of yin and yang) and types of treatment--herbal remedies, inhaled versus eaten medicines, the influence of Ramadan. Many of the cultural practices mentioned are probably preserved among south east Asian minorities residing in the United Kingdom. Eastern treatments typically take a holistic approach to asthma and do not ignore the psychosomatic component of the disorder.
  5. Warren P
    BMJ, 2016 Aug 03;354:i4285.
    PMID: 27488646 DOI: 10.1136/bmj.i4285
  6. Bradley P, Deane J, O'Hara J, Kennedy M, Carrard VC, Cheong SC, et al.
    BMJ, 2024 Mar 01;384:q512.
    PMID: 38428988 DOI: 10.1136/bmj.q512
  7. Buse K, Tomson G, Kuruvilla S, Mahmood J, Alden A, van der Meulen M, et al.
    BMJ, 2022 Jan 26;376:e068124.
    PMID: 37462013 DOI: 10.1136/bmj-2021-068124
    Kent Buse and colleagues argue that unlocking the potential for intersectoral action on climate and health requires thinking politically about its facilitators and barriers
  8. Narasimhan M, Allotey P, Hardon A
    BMJ, 2019 Apr 01;365:l688.
    PMID: 30936087 DOI: 10.1136/bmj.l688
    Manjulaa Narasimhan and colleagues argue that there is a pressing need for a clearer conceptualisation of self care to support health policy
  9. Remme M, Narasimhan M, Wilson D, Ali M, Vijayasingham L, Ghani F, et al.
    BMJ, 2019 Apr 01;365:l1228.
    PMID: 30936210 DOI: 10.1136/bmj.l1228
    Michelle Remme and colleagues argue that if costs to users are considered and their financing is right, self care interventions for sexual and reproductive health can improve equity and efficiency
  10. Feeny E, Dain K, Varghese C, Atiim GA, Rekve D, Gouda HN
    BMJ, 2021 07 19;374:n1516.
    PMID: 34281828 DOI: 10.1136/bmj.n1516
  11. Sheth T, Chan M, Butler C, Chow B, Tandon V, Nagele P, et al.
    BMJ, 2015;350:h1907.
    PMID: 25902738 DOI: 10.1136/bmj.h1907
    To determine if coronary computed tomographic angiography enhances prediction of perioperative risk in patients before non-cardiac surgery and to assess the preoperative coronary anatomy in patients who experience a myocardial infarction after non-cardiac surgery.
  12. Chang J
    BMJ, 2016 Nov 25;355:i6317.
    PMID: 27886999 DOI: 10.1136/bmj.i6317
  13. Ravindran TS, Teerawattananon Y, Tannenbaum C, Vijayasingham L
    BMJ, 2020 10 27;371:m3808.
    PMID: 33109511 DOI: 10.1136/bmj.m3808
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