30 research outputs found

    Experiences of emotional eating in an Acceptance and Commitment Therapy based weight management intervention (SWiM): A qualitative study

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    Background Emotional eating is a barrier to weight management. Interventions based on Acceptance and Commitment Therapy (ACT) promote the acceptance of uncomfortable feelings, which can reduce the urge to use food as a coping mechanism. We aimed to explore how participants of an ACT-based weight management intervention (WMI) experience emotional eating and relevant intervention content. Methods We conducted semi-structured telephone interviews with participants of a digital ACT-based guided self-help WMI. Fifteen participants were purposefully selected to represent a range of demographic characteristics and emotional eating scores. We used reflexive thematic analysis to explore experiences of emotional eating. Results We generated five themes. Participants improved emotional eating by disconnecting emotions from behaviours though increased self-awareness (theme 1) and by implementing alternative coping strategies, including preparation, substitution, and acceptance (theme 2). Most participants maintained improvements in emotional eating over time but wished for more opportunities to re-engage with intervention content, including more immediate support in triggering situations (theme 3). Participants who struggled to engage with emotional eating related intervention content often displayed an external locus of control over emotional eating triggers (theme 4). The perceived usefulness of the intervention depended on participants’ prior experiences of emotional eating, and was thought insufficient for participants with complex emotional experiences (theme 5). Discussion This ACT-based WMI helped participants with emotional eating by improving self-awareness and teaching alternative coping strategies. Intervention developers may consider adding ongoing forms of intervention that provide both real-time and long-term support. Additionally, a better understanding of how to support people with an external locus of control and people with complex experiences of emotional eating is needed. Future research may explore ways of personalising WMIs based on participants’ emotional needs

    Information Transparency and Profitability Convergence

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    We investigate the effect of information transparency on the competitive environment by examining whether information transparency at the industry level is associated with industry-level earnings persistence. Theory predicts that competition reduces the sustainability of abnormally high and abnormally low profits, thereby reducing overall earnings persistence. Therefore, if information transparency facilitates competition, we expect more transparent industries to have lower earnings persistence. We measure industry-level information transparency as the industry-level future earnings response coefficient. Consistent with our expectation, we find that transparency is associated with lower earnings persistence. This finding suggests that information transparency facilitates the competitive forces that lead profits to converge within an industry. We corroborate this interpretation by demonstrating that information transparency is positively associated with the degree to which competitors enter or exit an industry in anticipation of changes in the industry’s profitability outlook. Our study provides new and important evidence that information transparency facilitates product market competition

    The municipal sewage treatment plant effluent polishing in ultrafiltration

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    Odpływ z oczyszczalni ścieków komunalnych poddano porównawczo oczyszczaniu w procesie ultrafiltracji z wykorzystaniem membrany ceramicznej i polimerowej. Filtrację prowadzono w systemie cross-flow w warunkach ciśnienia transmembranowego procesu 0,1 MPa – membrana ceramiczna i 0,2 MPa – membrana polimerowa oraz w temperaturze 20°C. Skuteczność procesu oceniono wykonując różne analizy fizyko-chemiczne (m.in. pH, mętność, barwa, absorbancja, OWO i indeks fenolowy). Włączono również ocenę toksykologiczną (stosując jako organizm wskaźnikowy bakterie bioluminescencyjne Aliivibrio fischeri) oraz mikrobiologiczną badanych próbek wodnych. Podczas filtracji badano wydajność hydrauliczną membran. Określono, że skuteczność procesu zależy od warunków prowadzenia filtracji membranowej, przy czym lepsze efekty usunięcia zanieczyszczeń organicznych odnotowano w przypadku membrany polimerowej niż ceramicznej. Jednak membrana polimerowa w porównaniu do membrany ceramicznej była bardziej podatna na zjawisko blokowania porów powodujące obniżenie wydajności hydraulicznej. Bez względu na rodzaj membrany permeaty nie były toksyczne jak i nie zawierały mikroorganizmów.The effluent from the municipal sewage treatment plant was comparatively treated in the ultrafiltration process using ceramic and polymer membranes. Filtration was carried out in the cross-flow system under the conditions of the transmembrane process pressure of 0.1 MPa in the case of the ceramic membrane and 0.2 MPa with the polymer membrane, at a temperature of 20°C. The effectiveness of the process has been assessed by means of various physical and chemical analyses (pH, turbidity, color, absorbance, TOC and phenol index). The toxicological assessment (by applying the bioluminescent bacteria Aliivibrio fischeri as an indicator organism) and microbiological assessment of tested samples were included. The hydraulic efficiency of membranes was studied during filtration. Is was specified that the efficiency of the process depends on the conditions of membrane filtration, wherein the better effects of the removal of organic pollutants have been noted in the case of polymer membrane than with the ceramic membrane. However, the polymer membrane, in comparison to the ceramic membrane, was more susceptible to pore blocking, which caused the reduction of hydraulic efficiency. Regardless of the type of membrane, the permeates were not toxic and did not contain microorganisms

    Interventions for preventing weight gain after smoking cessation

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    Background: Most people who stop smoking gain weight. This can discourage some people from making a quit attempt and risks offsetting some, but not all, of the health advantages of quitting. Interventions to prevent weight gain could improve health outcomes, but there is a concern that they may undermine quitting. Objectives: To systematically review the effects of: (1) interventions targeting post‐cessation weight gain on weight change and smoking cessation (referred to as 'Part 1') and (2) interventions designed to aid smoking cessation that plausibly affect post‐cessation weight gain (referred to as 'Part 2'). Search methods: Part 1 ‐ We searched the Cochrane Tobacco Addiction Group's Specialized Register and CENTRAL; latest search 16 October 2020. Part 2 ‐ We searched included studies in the following 'parent' Cochrane reviews: nicotine replacement therapy (NRT), antidepressants, nicotine receptor partial agonists, e‐cigarettes, and exercise interventions for smoking cessation published in Issue 10, 2020 of the Cochrane Library. We updated register searches for the review of nicotine receptor partial agonists. Selection criteria Part 1 ‐ trials of interventions that targeted post‐cessation weight gain and had measured weight at any follow‐up point or smoking cessation, or both, six or more months after quit day. Part 2 ‐ trials included in the selected parent Cochrane reviews reporting weight change at any time point. Data collection and analysis: Screening and data extraction followed standard Cochrane methods. Change in weight was expressed as difference in weight change from baseline to follow‐up between trial arms and was reported only in people abstinent from smoking. Abstinence from smoking was expressed as a risk ratio (RR). Where appropriate, we performed meta‐analysis using the inverse variance method for weight, and Mantel‐Haenszel method for smoking. Main results: Part 1: We include 37 completed studies; 21 are new to this update. We judged five studies to be at low risk of bias, 17 to be at unclear risk and the remainder at high risk. An intermittent very low calorie diet (VLCD) comprising full meal replacement provided free of charge and accompanied by intensive dietitian support significantly reduced weight gain at end of treatment compared with education on how to avoid weight gain (mean difference (MD) −3.70 kg, 95% confidence interval (CI) −4.82 to −2.58; 1 study, 121 participants), but there was no evidence of benefit at 12 months (MD −1.30 kg, 95% CI −3.49 to 0.89; 1 study, 62 participants). The VLCD increased the chances of abstinence at 12 months (RR 1.73, 95% CI 1.10 to 2.73; 1 study, 287 participants). However, a second study found that no‐one completed the VLCD intervention or achieved abstinence. Interventions aimed at increasing acceptance of weight gain reported mixed effects at end of treatment, 6 months and 12 months with confidence intervals including both increases and decreases in weight gain compared with no advice or health education. Due to high heterogeneity, we did not combine the data. These interventions increased quit rates at 6 months (RR 1.42, 95% CI 1.03 to 1.96; 4 studies, 619 participants; I2 = 21%), but there was no evidence at 12 months (RR 1.25, 95% CI 0.76 to 2.06; 2 studies, 496 participants; I2 = 26%). Some pharmacological interventions tested for limiting post‐cessation weight gain (PCWG) reduced weight gain at the end of treatment (dexfenfluramine, phenylpropanolamine, naltrexone). The effects of ephedrine and caffeine combined, lorcaserin, and chromium were too imprecise to give useful estimates of treatment effects. There was very low‐certainty evidence that personalized weight management support reduced weight gain at end of treatment (MD −1.11 kg, 95% CI −1.93 to −0.29; 3 studies, 121 participants; I2 = 0%), but no evidence in the longer‐term 12 months (MD −0.44 kg, 95% CI −2.34 to 1.46; 4 studies, 530 participants; I2 = 41%). There was low to very low‐certainty evidence that detailed weight management education without personalized assessment, planning and feedback did not reduce weight gain and may have reduced smoking cessation rates (12 months: MD −0.21 kg, 95% CI −2.28 to 1.86; 2 studies, 61 participants; I2 = 0%; RR for smoking cessation 0.66, 95% CI 0.48 to 0.90; 2 studies, 522 participants; I2 = 0%). Part 2: We include 83 completed studies, 27 of which are new to this update. There was low certainty that exercise interventions led to minimal or no weight reduction compared with standard care at end of treatment (MD −0.25 kg, 95% CI −0.78 to 0.29; 4 studies, 404 participants; I2 = 0%). However, weight was reduced at 12 months (MD −2.07 kg, 95% CI −3.78 to −0.36; 3 studies, 182 participants; I2 = 0%). Both bupropion and fluoxetine limited weight gain at end of treatment (bupropion MD −1.01 kg, 95% CI −1.35 to −0.67; 10 studies, 1098 participants; I2 = 3%); (fluoxetine MD −1.01 kg, 95% CI −1.49 to −0.53; 2 studies, 144 participants; I2 = 38%; low‐ and very low‐certainty evidence, respectively). There was no evidence of benefit at 12 months for bupropion, but estimates were imprecise (bupropion MD −0.26 kg, 95% CI −1.31 to 0.78; 7 studies, 471 participants; I2 = 0%). No studies of fluoxetine provided data at 12 months. There was moderate‐certainty that NRT reduced weight at end of treatment (MD −0.52 kg, 95% CI −0.99 to −0.05; 21 studies, 2784 participants; I2 = 81%) and moderate‐certainty that the effect may be similar at 12 months (MD −0.37 kg, 95% CI −0.86 to 0.11; 17 studies, 1463 participants; I2 = 0%), although the estimates are too imprecise to assess long‐term benefit. There was mixed evidence of the effect of varenicline on weight, with high‐certainty evidence that weight change was very modestly lower at the end of treatment (MD −0.23 kg, 95% CI −0.53 to 0.06; 14 studies, 2566 participants; I2 = 32%); a low‐certainty estimate gave an imprecise estimate of higher weight at 12 months (MD 1.05 kg, 95% CI −0.58 to 2.69; 3 studies, 237 participants; I2 = 0%). Authors' conclusions: Overall, there is no intervention for which there is moderate certainty of a clinically useful effect on long‐term weight gain. There is also no moderate‐ or high‐certainty evidence that interventions designed to limit weight gain reduce the chances of people achieving abstinence from smoking.</p

    Interventions for preventing weight gain after smoking cessation

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    Background: Most people who stop smoking gain weight. This can discourage some people from making a quit attempt and risks offsetting some, but not all, of the health advantages of quitting. Interventions to prevent weight gain could improve health outcomes, but there is a concern that they may undermine quitting. Objectives: To systematically review the effects of: (1) interventions targeting post‐cessation weight gain on weight change and smoking cessation (referred to as 'Part 1') and (2) interventions designed to aid smoking cessation that plausibly affect post‐cessation weight gain (referred to as 'Part 2'). Search methods: Part 1 ‐ We searched the Cochrane Tobacco Addiction Group's Specialized Register and CENTRAL; latest search 16 October 2020. Part 2 ‐ We searched included studies in the following 'parent' Cochrane reviews: nicotine replacement therapy (NRT), antidepressants, nicotine receptor partial agonists, e‐cigarettes, and exercise interventions for smoking cessation published in Issue 10, 2020 of the Cochrane Library. We updated register searches for the review of nicotine receptor partial agonists. Selection criteria Part 1 ‐ trials of interventions that targeted post‐cessation weight gain and had measured weight at any follow‐up point or smoking cessation, or both, six or more months after quit day. Part 2 ‐ trials included in the selected parent Cochrane reviews reporting weight change at any time point. Data collection and analysis: Screening and data extraction followed standard Cochrane methods. Change in weight was expressed as difference in weight change from baseline to follow‐up between trial arms and was reported only in people abstinent from smoking. Abstinence from smoking was expressed as a risk ratio (RR). Where appropriate, we performed meta‐analysis using the inverse variance method for weight, and Mantel‐Haenszel method for smoking. Main results: Part 1: We include 37 completed studies; 21 are new to this update. We judged five studies to be at low risk of bias, 17 to be at unclear risk and the remainder at high risk. An intermittent very low calorie diet (VLCD) comprising full meal replacement provided free of charge and accompanied by intensive dietitian support significantly reduced weight gain at end of treatment compared with education on how to avoid weight gain (mean difference (MD) −3.70 kg, 95% confidence interval (CI) −4.82 to −2.58; 1 study, 121 participants), but there was no evidence of benefit at 12 months (MD −1.30 kg, 95% CI −3.49 to 0.89; 1 study, 62 participants). The VLCD increased the chances of abstinence at 12 months (RR 1.73, 95% CI 1.10 to 2.73; 1 study, 287 participants). However, a second study found that no‐one completed the VLCD intervention or achieved abstinence. Interventions aimed at increasing acceptance of weight gain reported mixed effects at end of treatment, 6 months and 12 months with confidence intervals including both increases and decreases in weight gain compared with no advice or health education. Due to high heterogeneity, we did not combine the data. These interventions increased quit rates at 6 months (RR 1.42, 95% CI 1.03 to 1.96; 4 studies, 619 participants; I2 = 21%), but there was no evidence at 12 months (RR 1.25, 95% CI 0.76 to 2.06; 2 studies, 496 participants; I2 = 26%). Some pharmacological interventions tested for limiting post‐cessation weight gain (PCWG) reduced weight gain at the end of treatment (dexfenfluramine, phenylpropanolamine, naltrexone). The effects of ephedrine and caffeine combined, lorcaserin, and chromium were too imprecise to give useful estimates of treatment effects. There was very low‐certainty evidence that personalized weight management support reduced weight gain at end of treatment (MD −1.11 kg, 95% CI −1.93 to −0.29; 3 studies, 121 participants; I2 = 0%), but no evidence in the longer‐term 12 months (MD −0.44 kg, 95% CI −2.34 to 1.46; 4 studies, 530 participants; I2 = 41%). There was low to very low‐certainty evidence that detailed weight management education without personalized assessment, planning and feedback did not reduce weight gain and may have reduced smoking cessation rates (12 months: MD −0.21 kg, 95% CI −2.28 to 1.86; 2 studies, 61 participants; I2 = 0%; RR for smoking cessation 0.66, 95% CI 0.48 to 0.90; 2 studies, 522 participants; I2 = 0%). Part 2: We include 83 completed studies, 27 of which are new to this update. There was low certainty that exercise interventions led to minimal or no weight reduction compared with standard care at end of treatment (MD −0.25 kg, 95% CI −0.78 to 0.29; 4 studies, 404 participants; I2 = 0%). However, weight was reduced at 12 months (MD −2.07 kg, 95% CI −3.78 to −0.36; 3 studies, 182 participants; I2 = 0%). Both bupropion and fluoxetine limited weight gain at end of treatment (bupropion MD −1.01 kg, 95% CI −1.35 to −0.67; 10 studies, 1098 participants; I2 = 3%); (fluoxetine MD −1.01 kg, 95% CI −1.49 to −0.53; 2 studies, 144 participants; I2 = 38%; low‐ and very low‐certainty evidence, respectively). There was no evidence of benefit at 12 months for bupropion, but estimates were imprecise (bupropion MD −0.26 kg, 95% CI −1.31 to 0.78; 7 studies, 471 participants; I2 = 0%). No studies of fluoxetine provided data at 12 months. There was moderate‐certainty that NRT reduced weight at end of treatment (MD −0.52 kg, 95% CI −0.99 to −0.05; 21 studies, 2784 participants; I2 = 81%) and moderate‐certainty that the effect may be similar at 12 months (MD −0.37 kg, 95% CI −0.86 to 0.11; 17 studies, 1463 participants; I2 = 0%), although the estimates are too imprecise to assess long‐term benefit. There was mixed evidence of the effect of varenicline on weight, with high‐certainty evidence that weight change was very modestly lower at the end of treatment (MD −0.23 kg, 95% CI −0.53 to 0.06; 14 studies, 2566 participants; I2 = 32%); a low‐certainty estimate gave an imprecise estimate of higher weight at 12 months (MD 1.05 kg, 95% CI −0.58 to 2.69; 3 studies, 237 participants; I2 = 0%). Authors' conclusions: Overall, there is no intervention for which there is moderate certainty of a clinically useful effect on long‐term weight gain. There is also no moderate‐ or high‐certainty evidence that interventions designed to limit weight gain reduce the chances of people achieving abstinence from smoking.</p

    Bio-inspired Grammatical Inference

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    International audienceThe field of Grammatical Inference was originally motivated by the problem of natural language acquisition. However, the formal models proposed within this field have left aside this linguistic motivation. In this paper, we propose to improve models and techniques used in Grammatical Inference by using ideas coming from linguistic studies. In that way, we try to give a new bio-inspiration to this field

    The impact of the COVID-19 pandemic and associated disruptions in health-care provision on clinical outcomes in people with diabetes: a systematic review

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    \ua9 2024 Elsevier LtdThe COVID-19 pandemic triggered disruptions to health care and lifestyles that could conceivably impact diabetes management. We set out to identify the impact of disruptions caused by COVID-19 on clinical outcomes in people with diabetes. We performed a systematic review of the available literature in the MEDLINE and OVID databases from Jan 1, 2020, to June 7, 2023, and included 138 studies (n&gt;1 000 000 people). All but five studies were judged to be at some risk of bias. All studies compared prepandemic with pandemic periods. All-cause mortality (six studies) and diabetes-related mortality (13 studies) showed consistent increases, and most studies indicated increases in sight loss (six studies). In adult and mixed samples, data generally suggested no difference in diabetic ketoacidosis frequency or severity, whereas in children and adolescents most studies showed increases with some due to new-onset diabetes (69 studies). Data suggested decreases in hospital admissions in adults but increases in diabetes-related admissions to paediatric intensive care units (35 studies). Data were equivocal on diabetic foot ulcer presentations (nine studies), emergency department admissions (nine studies), and overall amputation rates (20 studies). No studies investigated renal failure. Where reported, the impact was most pronounced for females, younger people, and racial and ethnic minority groups. Further studies are needed to investigate the longer-term impact of the pandemic and the on potential differential impacts, which risk further exacerbating existing inequalities within people with diabetes
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