483 research outputs found
Croissant, Michael P.The Armenia-Azerbaijan Conflict: Causes and Implications. Westport, CT and London: Praeger, 1998.
Evaluation of the novel Tanita body-fat analyser to measure body composition by comparison with a four-compartment model
1006. ANTHORRHIZA ECHINELLA: An antâplant of the Rubiaceae
The rare ant-plant Anthorrhiza echinella C.R.Huxley & Jebb from Papua New Guinea is described and illustrated. The outlook of the species and the importance of ex situ conservation strategies for this and other ant-plants are discussed in the context of botanic garden collections. Based on the plant's likely current distribution, we have assessed the species under the IUCN Red List as Endangered (EN) under criteria B1ab(iii) + 2ab(iii)
Grocery store interventions to change food purchasing behaviours: a systematic review of randomised controlled trials
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A health impact assessment of the UK soft drinks industry levy: a comparative risk assessment modelling study
Background
In March, 2016, the UK government proposed a tiered levy on sugar-sweetened beverages (SSBs; high, moderate, and no tax for drinks with >8g, 5g to 8g, and <5g sugar per 100ml). We estimate the effect of possible industry responses to the levy on obesity, diabetes, and dental caries.
Methods
We modelled three possible industry responses: (1) reformulation to reduce sugar concentration, (2) increasing product price, and (3) changing the market share of high-, mid-, and low-sugar drinks. For each response, we defined a better and worse case health scenario. We developed a comparative risk assessment model to estimate the UK health impact of each scenario.
Findings
The best modelled scenario for health is SSB reformulation, resulting in 144,000 (95% uncertainty interval: 5,100 to 306,700) fewer adults and children with obesity in the UK, 19,000 (6,900 to 32,700) fewer incident cases of diabetes per year, and 269,000 (82,200 to 470,900) fewer decayed, missing, or filled teeth annually. Increasing the price of SSBs and changes to market share to increase the proportion of low-sugar drinks sold would also result in population health benefits, but to a lesser extent. The greatest benefit for obesity and oral health would be among individuals under 18 years, with people over 65 years experiencing the largest absolute decreases in diabetes incidence.
Interpretation
The health impact of the soft drink levy is dependent on its implementation by industry. There is uncertainty as to how industry will react and in the estimation of health outcomes. Health gains could be maximised by significant product reformulation with additional benefits possible if the levy is passed onto purchasers through raising the price of high- and mid-sugar drinks, and through activities to increase the market share of low-sugar products.RT and AK have previously done work on sugar-sweetened beverage taxes funded by the Union of European Soft Drinks Associations. MR is chair of Sustain and the Children's Food Campaign, which have campaigned for sugar drink taxes in the UK. MR is funded by the British Heart Foundation, grant number 006/PSS/CORE/2016/OXFORD. ADMB and OTM are members of the Faculty of Public Health, which has a position statement supporting sugary drink taxes. ADMB is funded by the Wellcome Trust, grant number 102730/Z/13/Z. OTM is a member of the UK Health Forum, which has also supported a UK sugar drinks tax. OTM is supported by a Wellcome Trust Clinical Doctoral Fellowship. SAJ was the independent Chair of the Department of Health Public Health Responsibility Deal Food Network from 2010 to 2015. SAJ is funded by the National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care Oxford. The views expressed are those of the authors and not necessarily those of the National Health Service, National Institute for Health Research, or the Department of Health. PS is funded by the British Heart Foundation, grant number FS/15/34/31656. TB is funded the Health Research Council of New Zealand (16/443). AE declares no competing interests
Getting to the Left of SHARP: Lessons Learned from West Point\u27s Efforts to Combat Sexual Harassment and Assault
View the Executive SummaryOn July 26, 1948, President Harry Truman signed Executive Order 9981, ending the practice of segregating the military services by race. That same year, the Army allowed women to join the services on an equal basis with men. Both of these steps preceded the larger societal changes that allowed fully equal treatment of all types of American citizens in military service. Just over 2 years ago, Congress repealed the Donât Ask, Donât Tell policy, allowing for gays and lesbians to openly take their place in the military. Our procedures and policies for successful gender integration have grown and evolved. The authors share five principles for leaders and commanders on the prevention of sexual harassment and assault, as well as associated âTipsâ for implementation: (1) Leaders identify and break chains of circumstance; (2) Education is preferable to litigation; (3) Whatâs electronic is public; (4) Donât ignore pornography; and, (5) Unit climate is the commanderâs responsibility. These principles and their associated tips are not panaceas, and these recommendations are submitted for discussion and feedback.https://press.armywarcollege.edu/monographs/1468/thumbnail.jp
Associations between hedonic hunger and BMI during a two-year behavioural weight loss trial.
ObjectiveProspective studies on relationships between hedonic hunger and BMI (Body Mass Index) during weight management are lacking. This study examined if hedonic hunger reduced during a behavioural weight management programme, and if hedonic hunger predicted future BMI.MethodsParticipants were 594 community-dwelling, UK-based adults(396 female; age 56.43 years, s.d. = 12.50, range 20-83 years); 490 participants (82.5%) had obesity. Participants were randomised to a 12- or 52-week behavioural weight management intervention (WW12 or WW52, respectively) or a brief self-help intervention (BI). Relationships between hedonic hunger and BMI over 24 months (baseline, 3, 12, 24 months) were analysed using an autoregressive cross-lagged model.ResultsHedonic hunger scores decreased from 2.71 (s.d. = .91) at baseline to 2.41 (s.d. = .88) at 3 months (p .05). Baseline hedonic hunger scores predicted 3-month scores (B = .76, SE = .03, p .05). BMI at 12 months was lower in WW52 30.87kg/m2, s.d. = 5.02) than WW12 (32.12 kg/m2, s.d. = 5.58, p = .02, CI .16 to 2.34) and BI (32.74 kg/m2, s.d. = 4.15, p = .01, CI .30 to 3.45). BMI was not affected by intervention at any other time point (p's>.05).ConclusionHedonic hunger reduced during weight management irrespective of intervention. Early reductions in hedonic hunger appear to be associated with lower BMI in the medium-term. Identifying ways to reduce hedonic hunger during weight loss could aid weight management for some people
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