Tracey J Brown
University of East Anglia
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Featured researches published by Tracey J Brown.
The American Journal of Clinical Nutrition | 2013
Rachel Collings; Linda J. Harvey; Lee Hooper; Rachel Hurst; Tracey J Brown; Jennifer Ansett; Maria King; Susan J. Fairweather-Tait
BACKGROUND Absorption factors are required to convert physiologic requirements for iron into Dietary Reference Values, but the absorption from single meals cannot be used to estimate dietary iron absorption. OBJECTIVE The objective was to conduct a systematic review of iron absorption from whole diets. DESIGN A structured search was completed by using the Medline, EMBASE, and Cochrane CENTRAL databases from inception to November 2011. Formal inclusion and exclusion criteria were applied, and data extraction, validity assessment, and meta-analyses were undertaken. RESULTS Nineteen studies from the United States, Europe, and Mexico were included. Absorption from diets was higher with an enhancer (standard mean difference: 0.53; 95% CI: 0.21, 0.85; P = 0.001) and was also higher when compared with low-bioavailability diets (standard mean difference: 0.96; 95% CI: 0.51, 1.41; P < 0.0001); however, single inhibitors did not reduce absorption (possibly because of the limited number of studies and participants and their heterogeneity). A regression equation to calculate iron absorption was derived by pooling data for iron status (serum and plasma ferritin) and dietary enhancers and inhibitors from 58 individuals (all from US studies): log[nonheme-iron absorption, %] = -0.73 log[ferritin, μg/L] + 0.11 [modifier] + 1.82. In individuals with serum ferritin concentrations from 6 to 80 μg/L, predicted absorption ranged from 2.1% to 23.0%. CONCLUSIONS Large variations were observed in mean nonheme-iron absorption (0.7-22.9%) between studies, which depended on iron status (diet had a greater effect at low serum and plasma ferritin concentrations) and dietary enhancers and inhibitors. Iron absorption was predicted from serum ferritin concentrations and dietary modifiers by using a regression equation. Extrapolation of these findings to developing countries and to men and women of different ages will require additional high-quality controlled trials.
Addiction | 2015
Vivienne Maskrey; Annie Blyth; Tracey J Brown; Garry Barton; Caitlin Notley; Paul Aveyard; Richard Holland; Max Bachmann; Stephen Sutton; Jo Leonardi-Bee; Thomas H. Brandon; Fujian Song
Abstract Aims Most people who quit smoking for a short term will return to smoking again in 12 months. We tested whether self‐help booklets can reduce relapse in short‐term quitters after receiving behavioural and pharmacological cessation treatment. Design A parallel‐arm, pragmatic individually randomized controlled trial. Setting Smoking cessation clinics in England. Participants People who stopped smoking for 4 weeks after receiving cessation treatment in stop smoking clinics. Intervention Participants in the experimental group (n = 703) were mailed eight booklets, each of which taught readers how to resist urges to smoke. Participants in the control group (n = 704) received a leaflet currently used in practice. Measurements The primary outcome was prolonged, carbon monoxide‐verified abstinence from months 4 to 12. The secondary outcomes included 7‐day self#x02010;reported abstinence at 3 and 12 months. Mixed‐effects logistic regression was used to estimate treatment effects and to investigate possible effect modifying variables. Findings There were no statistically significant differences between the groups in prolonged abstinence from months 4 to 12 (36.9% versus 38.6%; odds ratio 0.93, 95% confidence interval 0.75–1.16; P = 0.524). In addition, there were no significant differences between the groups in any secondary outcomes. However, people who reported knowing risky situations for relapse and using strategies to handle urges to smoke were less likely to relapse. Conclusions In people who stop smoking successfully with behavioural support, a comprehensive self‐help educational programme to teach people skills to identify and respond to high‐risk situations for return to smoking did not reduce relapse.
Nicotine & Tobacco Research | 2016
Fujian Song; Vivienne Maskrey; Annie Blyth; Tracey J Brown; Garry Barton; Paul Aveyard; Caitlin Notley; Richard Holland; Max Bachmann; Stephen Sutton; Thomas H. Brandon
Introduction: Smokers receiving support in specialist centers tend to have a higher short-term quit rate, compared with those receiving support in other settings from professionals for whom smoking cessation is only a part of their work. We investigated the difference in longer-term abstinence after short-term smoking cessation treatment from specialist and nonspecialist smoking cessation services. Methods: We conducted a secondary analysis of data from a randomized controlled trial of self-help booklets for the prevention of smoking relapse. The trial included 1088 short-term quitters from specialist stop smoking clinics and 316 from nonspecialist cessation services (such as general practice, pharmacies, and health trainer services). The difference in prolonged smoking abstinence from months 4 to 12 between specialist and nonspecialist services was compared. Multivariable logistic regression analyses were conducted to investigate the association between continuous smoking abstinence and the type of smoking cessation services, adjusted for possible confounding factors (including demographic, socioeconomic, and smoking history variables). Results: The proportion of continuous abstinence from 4 to 12 months was higher in short-term quitters from specialist services compared with those from nonspecialist services (39% vs. 32%; P = .023). After adjusting for a range of participant characteristics and smoking variables, the specialist service was significantly associated with a higher rate of longer-term smoking abstinence (odds ratio: 1.48, 95% CI = 1.09% to 2.00%; P = .011). Conclusions: People who receive support to stop smoking from a specialist appear to be at lower risk of relapse than those receiving support from a nonspecialist advisor.
Cochrane Database of Systematic Reviews | 2015
Lee Hooper; Asmaa Abdelhamid; Diane Bunn; Tracey J Brown; Carolyn Summerbell; C. Murray Skeaff
Health Technology Assessment | 2015
Annie Blyth; Vivienne Maskrey; Caitlin Notley; Garry Barton; Tracey J Brown; Paul Aveyard; Richard Holland; Max Bachmann; Stephen Sutton; Jo Leonardi-Bee; Thomas H. Brandon; Fujian Song
EFSA Supporting Publications | 2012
Amy Mullee; Tracey J Brown; Rachel Collings; Linda J. Harvey; Lee Hooper; Susan J. Fairweather-Tait
Cochrane Database of Systematic Reviews | 2018
Asmaa Abdelhamid; Tracey J Brown; Julii Brainard; Priti Biswas; Gabrielle Thorpe; Helen J Moore; Katherine Deane; Fai K. AlAbdulghafoor; Carolyn Summerbell; Helen V Worthington; Fujian Song; Lee Hooper
Cochrane Database of Systematic Reviews | 2018
Lee Hooper; Lena Al-Khudairy; Asmaa Abdelhamid; Karen Rees; Julii Brainard; Tracey J Brown; Sarah M Ajabnoor; Alex T O'Brien; Lauren E Winstanley; Daisy H Donaldson; Fujian Song; Katherine Deane
Cochrane Database of Systematic Reviews | 2018
Asmaa Abdelhamid; Nicole Martin; Charlene Bridges; Julii Brainard; Xia Wang; Tracey J Brown; Sarah Hanson; Oluseyi Jimoh; Sarah M Ajabnoor; Katherine Deane; Fujian Song; Lee Hooper
Archive | 2015
Annie Blyth; Vivienne Maskrey; Caitlin Notley; Garry Barton; Tracey J Brown; Paul Aveyard; Richard Holland; Max Bachmann; Stephen Sutton; Jo Leonardi-Bee; Thomas H Brandon; Fujian Song