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Lifestyle-, environmental-, and additional health factors associated with an increased sperm DNA fragmentation: a systematic review and meta-analysis.
Szabó, A, Váncsa, S, Hegyi, P, Váradi, A, Forintos, A, Filipov, T, Ács, J, Ács, N, Szarvas, T, Nyirády, P, et al
Reproductive biology and endocrinology : RB&E. 2023;21(1):5
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The World Health Organization defines infertility as regular unprotected sexual intercourse without achieving conception within a year. In recent years, there has been a growing demand for functional, objective parameters reflecting fertility status more clearly than classical parameters. Of these, sperm DNA fragmentation (SDF) and the DNA fragmentation index – denoting the percentage of sperm with damaged DNA – seem to be of utmost importance. The aim of this study was to investigate all risk factors that may potentially be increasing SDF. This study is a systematic review and meta-analysis of one hundred and ninety articles. The earliest studies were published in 2003, and the latest in 2021. Results show that several modifiable risk factors negatively affect SDF, namely; a. health conditions: varicocele [when veins become enlarged inside the pouch of skin that holds the testicles] and impaired glucose tolerance, b. infections: Chlamydia, c. malignancies: testicular tumours, and d. lifestyle factors: smoking, alcohol consumption and body mass index. Authors conclude that several lifestyle-, environmental-, and additional health factors are associated with increased SDF.
Abstract
INTRODUCTION Infertility affects one in every six couples in developed countries, and approximately 50% is of male origin. In 2021, sperm DNA fragmentation (SDF) testing became an evidence-based test for fertility evaluations depicting fertility more clearly than standard semen parameters. Therefore, we aimed to summarize the potential prognostic factors of a higher SDF. METHODS We conducted a systematic search in three medical databases and included studies investigating any risk factors for SDF values. We calculated mean differences (MD) in SDF with 95% confidence interval (CI) for exposed and non-exposed individuals. RESULTS We included 190 studies in our analysis. In the group of associated health conditions, varicocele (MD = 13.62%, CI: 9.39-17.84) and impaired glucose tolerance (MD = 13.75%, CI: 6.99-20.51) had the most significant increase in SDF. Among malignancies, testicular tumors had the highest impact, with a maximum of MD = 11.3% (CI: 7.84-14.76). Among infections, the overall effects of both Chlamydia and HPV were negligible. Of lifestyle factors, smoking had the most disruptive effect on SDF - an increase of 9.19% (CI: 4.33-14.06). Different periods of sexual abstinence did not show significant variations in SDF values. Age seemed to have a more drastic effect on SDF from age 50 onwards, with a mean difference of 12.58% (CI: 7.31-17.86). Pollution also had a detrimental effect - 9.68% (CI: 6.85-12.52). CONCLUSION Of the above risk factors, varicocele, impaired glucose tolerance, testicular tumors, smoking, pollution, and paternal age of over 50 were associated with the highest SDF. TRIAL REGISTRATION CRD42021282533.
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The effectiveness of digital interventions for increasing physical activity in individuals of low socioeconomic status: a systematic review and meta-analysis.
Western, MJ, Armstrong, MEG, Islam, I, Morgan, K, Jones, UF, Kelson, MJ
The international journal of behavioral nutrition and physical activity. 2021;18(1):148
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Low physical activity levels are responsible for many non-communicable diseases and a huge cost to health services. Low socioeconomic status is associated with lower physical activity levels and therefore it is important to increase activity amongst this group of people. The use of digital technologies to increase exercise has become popular in recent years, however it is unknown whether they have differing effectiveness depending on the socioeconomic status of the user. This systematic review and meta-analysis of 19 studies aimed to determine whether digital technologies which target physical activity levels are beneficial for those from low socioeconomic status. The results showed that digital interventions targeting activity have differing effectiveness depending on the socioeconomic status, with those from high socioeconomic status benefitting from these interventions, and those from a low socioeconomic status did not. It was concluded that future technologies need to be tailored to target individuals from low socioeconomic status to improve effectiveness. This study could be used by healthcare professionals to understand that digital technologies designed to increase physical activity may not be sufficient for individuals from a low socioeconomic status and extra support and guidance may be needed.
Abstract
BACKGROUND Digital technologies such as wearables, websites and mobile applications are increasingly used in interventions targeting physical activity (PA). Increasing access to such technologies makes an attractive prospect for helping individuals of low socioeconomic status (SES) in becoming more active and healthier. However, little is known about their effectiveness in such populations. The aim of this systematic review was to explore whether digital interventions were effective in promoting PA in low SES populations, whether interventions are of equal benefit to higher SES individuals and whether the number or type of behaviour change techniques (BCTs) used in digital PA interventions was associated with intervention effects. METHODS A systematic search strategy was used to identify eligible studies from MEDLINE, Embase, PsycINFO, Web of Science, Scopus and The Cochrane Library, published between January 1990 and March 2020. Randomised controlled trials, using digital technology as the primary intervention tool, and a control group that did not receive any digital technology-based intervention were included, provided they had a measure of PA as an outcome. Lastly, studies that did not have any measure of SES were excluded from the review. Risk of Bias was assessed using the Cochrane Risk of Bias tool version 2. RESULTS Of the 14,589 records initially identified, 19 studies were included in the final meta-analysis. Using random-effects models, in low SES there was a standardised mean difference (SMD (95%CI)) in PA between intervention and control groups of 0.06 (- 0.08,0.20). In high SES the SMD was 0.34 (0.22,0.45). Heterogeneity was modest in both low (I2 = 0.18) and high (I2 = 0) SES groups. The studies used a range of digital technologies and BCTs in their interventions, but the main findings were consistent across all of the sub-group analyses (digital interventions with a PA only focus, country, chronic disease, and duration of intervention) and there was no association with the number or type of BCTs. DISCUSSION Digital interventions targeting PA do not show equivalent efficacy for people of low and high SES. For people of low SES, there is no evidence that digital PA interventions are effective, irrespective of the behaviour change techniques used. In contrast, the same interventions in high SES participants do indicate effectiveness. To reduce inequalities and improve effectiveness, future development of digital interventions aimed at improving PA must make more effort to meet the needs of low SES people within the target population.
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Sociodemographic and lifestyle-related risk factors for identifying vulnerable groups for type 2 diabetes: a narrative review with emphasis on data from Europe.
Kyrou, I, Tsigos, C, Mavrogianni, C, Cardon, G, Van Stappen, V, Latomme, J, Kivelä, J, Wikström, K, Tsochev, K, Nanasi, A, et al
BMC endocrine disorders. 2020;20(Suppl 1):134
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Type 2 diabetes mellitus (T2DM) results from progressive loss of insulin secretion, which is typically combined with various degrees of insulin resistance. The aim of this study is to provide a comprehensive overview of key sociodemographic and lifestyle-related risk factors for identifying vulnerable groups for T2DM with emphasis on data from Europe. This study is a narrative review which includes 101 publications. Literature shows that prevention of T2DM should be a collaborative effort which mobilizes multiple partners/ stakeholders at a national and international (e.g. European) level. In addition, a holistic approach is becoming increasingly essential in order to put into effect multidimensional public health programs and integrated interventions for effective T2DM prevention which will take into account both traditional and socioeconomic/socioecological factors. Authors conclude that a multidimensional approach for the prevention of T2DM may have a broader impact against the current diabesity epidemic within and across countries in Europe.
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) comprises the vast majority of all diabetes cases in adults, with alarmingly increasing prevalence over the past few decades worldwide. A particularly heavy healthcare burden of diabetes is noted in Europe, where 8.8% of the population aged 20-79 years is estimated to have diabetes according to the International Diabetes Federation. Multiple risk factors are implicated in the pathogenesis of T2DM with complex underlying interplay and intricate gene-environment interactions. Thus, intense research has been focused on studying the role of T2DM risk factors and on identifying vulnerable groups for T2DM in the general population which can then be targeted for prevention interventions. METHODS For this narrative review, we conducted a comprehensive search of the existing literature on T2DM risk factors, focusing on studies in adult cohorts from European countries which were published in English after January 2000. RESULTS Multiple lifestyle-related and sociodemographic factors were identified as related to high T2DM risk, including age, ethnicity, family history, low socioeconomic status, obesity, metabolic syndrome and each of its components, as well as certain unhealthy lifestyle behaviors. As Europe has an increasingly aging population, multiple migrant and ethnic minority groups and significant socioeconomic diversity both within and across different countries, this review focuses not only on modifiable T2DM risk factors, but also on the impact of pertinent demographic and socioeconomic factors. CONCLUSION In addition to other T2DM risk factors, low socioeconomic status can significantly increase the risk for prediabetes and T2DM, but is often overlooked. In multinational and multicultural regions such as Europe, a holistic approach, which will take into account both traditional and socioeconomic/socioecological factors, is becoming increasingly crucial in order to implement multidimensional public health programs and integrated community-based interventions for effective T2DM prevention.
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Coronavirus disease 2019 (COVID-19) and obesity. Impact of obesity and its main comorbidities in the evolution of the disease.
Cornejo-Pareja, IM, Gómez-Pérez, AM, Fernández-García, JC, Barahona San Millan, R, Aguilera Luque, A, de Hollanda, A, Jiménez, A, Jimenez-Murcia, S, Munguia, L, Ortega, E, et al
European eating disorders review : the journal of the Eating Disorders Association. 2020;28(6):799-815
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The Covid-19 pandemic has caused thousands of deaths worldwide. Being obese is associated with worse outcomes following infection with Covid-19. This review aimed to summarise the data available on the relationship between Covid-19 and obesity, and explored some of the possible reasons for this relationship. The researchers found that obesity is an independent and strong risk factor for severe infection, Intensive Care Unit (ICU) admission and death. The impact of obesity might be of particular relevance in males and in younger individuals. Long‐term complications of Covid‐19 could also be more frequent and severe in obese subjects. There are many potential mechanisms that could explain this relationship. These include the effects of obesity and related diseases such as diabetes, high blood pressure and heart disease on the immune system, lung function, vitamin D deficiency and male hormones. The researchers also discussed the possibility of fat cells acting as a possible reservoir for Covid-19 infection. Research into Covid-19 is still at a very early stage and more studies are needed.
Abstract
The COVID-19 pandemic is posing a great challenge worldwide. Its rapid progression has caused thousands of deaths worldwide. Although multiple aspects remain to be clarified, some risk factors associated with a worse prognosis have been identified. These include obesity and some of its main complications, such as diabetes and high blood pressure. Furthermore, although the possible long-term complications and psychological effects that may appear in survivors of COVID-19 are not well known yet, there is a concern that those complications may be greater in obese patients. In this manuscript, we review some of the data published so far and the main points that remain to be elucidated are emphasized.
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Therapist-supported Internet cognitive behavioural therapy for anxiety disorders in adults.
Olthuis, JV, Watt, MC, Bailey, K, Hayden, JA, Stewart, SH
The Cochrane database of systematic reviews. 2016;3:CD011565
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Previous research has supported the use of cognitive behavioural therapy (CBT) in the treatment of anxiety disorders, which is aimed at changing negative or unhealthy thinking patterns. Many individuals with anxiety find it challenging to get to CBT appointments and so an internet-based programme, with telephone and email support, has been developed. This systematic review of 38 randomised controlled trial studies aimed to assess the effects of internet CBT (ICBT) on anxiety symptoms and severity. The results showed that there was a clinically important improvement in anxiety alongside reductions in symptom severity and an increase in the patient’s quality of life (QoL) when following ICBT compared to no treatment or online support group discussions. When comparing supported ICBT and self-guided CBT there were no differences between anxiety symptom severity and QoL. When comparing ICBT and face to face therapist-supported CBT, no differences were reported in anxiety symptoms and QoL. It was concluded that ICBT is more beneficial than no treatment or online discussion groups and may be just as useful as face-to-face CBT. The number of studies that compared ICBT to self-guided CBT was limited and so specific conclusions were difficult to ascertain. This study could be used by healthcare professionals to understand that people suffering from anxiety may not be receiving the treatment they need for fears of new situations or leaving the house. In this instance ICBT is an alternative treatment that is just as beneficial as face-to-face therapy.
Abstract
BACKGROUND Cognitive behavioural therapy (CBT) is an evidence-based treatment for anxiety disorders. Many people have difficulty accessing treatment, due to a variety of obstacles. Researchers have therefore explored the possibility of using the Internet to deliver CBT; it is important to ensure the decision to promote such treatment is grounded in high quality evidence. OBJECTIVES To assess the effects of therapist-supported Internet CBT (ICBT) on remission of anxiety disorder diagnosis and reduction of anxiety symptoms in adults as compared to waiting list control, unguided CBT, or face-to-face CBT. Effects of treatment on quality of life and patient satisfaction with the intervention were also assessed. SEARCH METHODS We searched the Cochrane Depression, Anxiety and Neurosis Review Group Specialised Register (CCDANCTR) to 16 March 2015. The CCDANCTR includes relevant randomised controlled trials from MEDLINE, EMBASE, PsycINFO and CENTRAL. We also searched online clinical trial registries and reference lists of included studies. We contacted authors to locate additional trials. SELECTION CRITERIA Each identified study was independently assessed for inclusion by two authors. To be included, studies had to be randomised controlled trials of therapist-supported ICBT compared to a waiting list, attention, information, or online discussion group; unguided CBT (that is, self-help); or face-to-face CBT. We included studies that treated adults with an anxiety disorder (panic disorder, agoraphobia, social phobia, post-traumatic stress disorder, acute stress disorder, generalized anxiety disorder, obsessive compulsive disorder, and specific phobia) defined according to the Diagnostic and Statistical Manual of Mental Disorders III, III-R, IV, IV-TR or the International Classification of Disesases 9 or 10. DATA COLLECTION AND ANALYSIS Two authors independently assessed the risk of bias of included studies and judged overall study quality. We used data from intention-to-treat analyses wherever possible. We assessed treatment effect for the dichotomous outcome of clinically important improvement in anxiety using a risk ratio (RR) with 95% confidence interval (CI). For disorder-specific and general anxiety symptom measures and quality of life we assessed continuous scores using standardized mean differences (SMD). We examined statistical heterogeneity using the I(2) statistic. MAIN RESULTS We screened 1736 citations and selected 38 studies (3214 participants) for inclusion. The studies examined social phobia (11 trials), panic disorder with or without agoraphobia (8 trials), generalized anxiety disorder (5 trials), post-traumatic stress disorder (2 trials), obsessive compulsive disorder (2 trials), and specific phobia (2 trials). Eight remaining studies included a range of anxiety disorder diagnoses. Studies were conducted in Sweden (18 trials), Australia (14 trials), Switzerland (3 trials), the Netherlands (2 trials), and the USA (1 trial) and investigated a variety of ICBT protocols. Three primary comparisons were identified, therapist-supported ICBT versus waiting list control, therapist-supported versus unguided ICBT, and therapist-supported ICBT versus face-to-face CBT.Low quality evidence from 11 studies (866 participants) contributed to a pooled risk ratio (RR) of 3.75 (95% CI 2.51 to 5.60; I(2) = 50%) for clinically important improvement in anxiety at post-treatment, favouring therapist-supported ICBT over a waiting list, attention, information, or online discussion group only. The SMD for disorder-specific symptoms at post-treatment (28 studies, 2147 participants; SMD -1.06, 95% CI -1.29 to -0.82; I(2) = 83%) and general anxiety symptoms at post-treatment (19 studies, 1496 participants; SMD -0.75, 95% CI -0.98 to -0.52; I(2) = 78%) favoured therapist-supported ICBT; the quality of the evidence for both outcomes was low.One study compared unguided CBT to therapist-supported ICBT for clinically important improvement in anxiety at post-treatment, showing no difference in outcome between treatments (54 participants; very low quality evidence). At post-treatment there were no clear differences between unguided CBT and therapist-supported ICBT for disorder-specific anxiety symptoms (5 studies, 312 participants; SMD -0.22, 95% CI -0.56 to 0.13; I(2) = 58%; very low quality evidence) or general anxiety symptoms (2 studies, 138 participants; SMD 0.28, 95% CI -2.21 to 2.78; I(2) = 0%; very low quality evidence).Compared to face-to-face CBT, therapist-supported ICBT showed no significant differences in clinically important improvement in anxiety at post-treatment (4 studies, 365 participants; RR 1.09, 95% CI 0.89 to 1.34; I(2) = 0%; low quality evidence). There were also no clear differences between face-to-face and therapist supported ICBT for disorder-specific anxiety symptoms at post-treatment (7 studies, 450 participants; SMD 0.06, 95% CI -0.25 to 0.37; I(2) = 60%; low quality evidence) or general anxiety symptoms at post-treatment (5 studies, 317 participants; SMD 0.17, 95% CI -0.35 to 0.69; I(2) = 78%; low quality evidence).Overall, risk of bias in included studies was low or unclear for most domains. However, due to the nature of psychosocial intervention trials, blinding of participants and personnel, and outcome assessment tended to have a high risk of bias. Heterogeneity across a number of the meta-analyses was substantial, some was explained by type of anxiety disorder or may be meta-analytic measurement artefact due to combining many assessment measures. Adverse events were rarely reported. AUTHORS' CONCLUSIONS Therapist-supported ICBT appears to be an efficacious treatment for anxiety in adults. The evidence comparing therapist-supported ICBT to waiting list, attention, information, or online discussion group only control was low to moderate quality, the evidence comparing therapist-supported ICBT to unguided ICBT was very low quality, and comparisons of therapist-supported ICBT to face-to-face CBT were low quality. Further research is needed to better define and measure any potential harms resulting from treatment. These findings suggest that therapist-supported ICBT is more efficacious than a waiting list, attention, information, or online discussion group only control, and that there may not be a significant difference in outcome between unguided CBT and therapist-supported ICBT; however, this latter finding must be interpreted with caution due to imprecision. The evidence suggests that therapist-supported ICBT may not be significantly different from face-to-face CBT in reducing anxiety. Future research should explore heterogeneity among studies which is reducing the quality of the evidence body, involve equivalence trials comparing ICBT and face-to-face CBT, examine the importance of the role of the therapist in ICBT, and include effectiveness trials of ICBT in real-world settings. A timely update to this review is needed given the fast pace of this area of research.
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How Does the Brain Implement Adaptive Decision Making to Eat?
Compan, V, Walsh, BT, Kaye, W, Geliebter, A
The Journal of neuroscience : the official journal of the Society for Neuroscience. 2015;35(41):13868-78
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While food intake is critical for survival, adaptive decision-making can be altered through various mechanisms and eventually lead to disordered eating patterns. Feeding behaviour is dependent on homeostatic rules, motivational drives, biological predispositions and external stressors. This complex web elucidates how humans can decide to satisfy or abstain from hunger cues, and the underlying mechanisms of this behaviour have been increasingly explored. This review summarises the overall neural circuitry in restrictive food choice and binge eating. Serotonergic systems play a key role in eating disorders because they are involved in responses to stress, emotions and feeding behaviour. The decision to overeat or abstain from eating is a reward, and this goal-directed and persistent behaviour mirror some aspects of drug dependence. This review found that voluntary processes in the nervous system could be modified to predominate over homeostatic control of hunger. Eating disorders may emerge when serotonin neurons reach their limit of adaptive capacities, potentially to the extent of compromised survival. This study provides a basis for developing more effective interventions for this population.
Abstract
Adaptive decision making to eat is crucial for survival, but in anorexia nervosa, the brain persistently supports reduced food intake despite a growing need for energy. How the brain persists in reducing food intake, sometimes even to the point of death and despite the evolution of multiple mechanisms to ensure survival by governing adaptive eating behaviors, remains mysterious. Neural substrates belong to the reward-habit system, which could differ among the eating disorders. The present review provides an overview of neural circuitry of restrictive food choice, binge eating, and the contribution of specific serotonin receptors. One possibility is that restrictive food intake critically engages goal-directed (decision making) systems and "habit," supporting the view that persistent caloric restriction mimics some aspects of addiction to drugs of abuse. SIGNIFICANCE STATEMENT An improved understanding of the neural basis of eating disorders is a timely challenge because these disorders can be deadly. Up to 70 million of people in the world suffer from eating disorders. Anorexia nervosa affects 1-4% of women in United States and is the first cause of death among adolescents in Europe. Studies relying on animal models suggest that decision making to eat (or not) can prevail over actual energy requirements due to emotional disturbances resulting in abnormal habitual behavior, mimicking dependence. These recent studies provide a foundation for developing more specific and effective interventions for these disorders.
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The stigma of obesity in the general public and its implications for public health - a systematic review.
Sikorski, C, Luppa, M, Kaiser, M, Glaesmer, H, Schomerus, G, König, HH, Riedel-Heller, SG
BMC public health. 2011;11:661
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Obesity rates are still rising and, in addition to co-morbid diseases, perceived discrimination and stigmatisation leads to worse outcomes in obese individuals. The aim of this systematic review, including seven studies, was to investigate how the lay public perceive people with obesity or overweight (stigmatizing attitudes); (b) what they attribute obesity to (causal attribution) and (c) what types of interventions they support. Higher rates of stigmatising attitudes were associated with attributing obesity more to behaviour and less to heredity, lower levels of education and older age of the respondents, and not seeing obesity as an illness. Causal attributions varied slightly from study to study but most found that lack of activity behaviour, overeating and lack of willpower were the most prevalent causal attributions, with more than two thirds of respondents associating these factors to obesity, whilst only about a third agreed to heredity being an important factor. Environmental factors, in particular a bad food environment, was seen as a possible factor in obesity by about half of the respondents. In terms of prevention efforts, support was highest for childhood prevention and information campaigns, followed by banning junk foods in schools and banning junk food advertising, whilst taxation of unhealthy foods received the least support.
Abstract
BACKGROUND Up to this date, prevalence rates of obesity are still rising. Aside from co-morbid diseases, perceived discrimination and stigmatization leads to worsen outcomes in obese individuals. Higher stigmatizing attitudes towards obese individuals may also result in less support of preventive and interventive measures. In light of the immense burden of obesity on health care systems and also on the individuals' quality of life, accepted and subsidized preventive measures are needed. Policy support might be determined by views of the lay public on causes of obesity and resulting weight stigma. This study seeks to answer how representative samples of the lay public perceive people with obesity or overweight status (stigmatizing attitudes); what these samples attribute obesity to (causal attribution) and what types of interventions are supported by the lay public and which factors determine that support (prevention support). METHODS A systematic literature search was conducted. All studies of representative samples reporting results on (a) stigmatizing attitudes towards overweight and obese individuals, (b) causal beliefs and (c) prevention support were included. RESULTS Only 7 articles were found. One study reported prevalence rates of stigmatizing attitudes. About a quarter of the population in Germany displayed definite stigmatizing attitudes. Other studies reported causal attributions. While external influences on weight are considered as well, it seems that internal factors are rated to be of higher importance. Across the studies found, regulative prevention is supported by about half of the population, while childhood prevention has highest approval rates. Results on sociodemographic determinants differ substantially. CONCLUSIONS Further research on public attitudes toward and perception of overweight and obesity is urgently needed to depict the prevailing degree of stigmatization. Introducing a multidimensional concept of the etiology of obesity to the lay public might be a starting point in stigma reduction.
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The views of young children in the UK about obesity, body size, shape and weight: a systematic review.
Rees, R, Oliver, K, Woodman, J, Thomas, J
BMC public health. 2011;11:188
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Obesity in children is an increasing problem in Westernised societies; obese children are more at risk of poorer health in the short and long term. The aim of the study was to explore the views of children about the meanings of obesity and body size, shape or weight and their own experience of these issues. This systemic review looked at 28 studies done in UK, conducted after 1997 in children aged 4-11. The review’s findings suggest that for children, the health consequences of obesity seemed to be mostly irrelevant. Impact on their social lives was far more important. Also, despite often having healthy body sizes, children continue to dislike their own bodies. This review highlights the need to consider the social aspect of childhood obesity and that children’s perspectives should be used in the policy making process. The authors conclude that the studies did not fully represent children’s diversity and therefore higher quality research is needed to enable relevant interventions to be put into place.
Abstract
BACKGROUND There are high levels of concern about childhood obesity, with obese children being at higher risk of poorer health both in the short and longer terms. Children's attitudes to, and beliefs about, their bodies have also raised concern. Children themselves have a stake in this debate; their perspectives on this issue can inform the ways in which interventions aim to work.This systematic review of qualitative and quantitative research aimed to explore the views of UK children about the meanings of obesity and body size, shape or weight and their own experiences of these issues. METHODS We conducted sensitive searches of electronic databases and specialist websites, and contacted experts. We included studies published from the start of 1997 which reported the perspectives of UK children aged 4-11 about obesity or body size, shape or weight, and which described key aspects of their methods. Included studies were coded and quality-assessed by two reviewers independently.Findings were synthesised in two analyses: i) an interpretive synthesis of findings from open-ended questions; and ii) an aggregative synthesis of findings from closed questions. We juxtaposed the findings from the two syntheses. The effect of excluding the lowest quality studies was explored. We also consulted young people to explore the credibility of a subset of findings. RESULTS We included 28 studies. Instead of a focus on health, children emphasised the social impact of body size, describing experiences and awareness of abuse and isolation for children with a greater weight. Body size was seen as under the individual's control and children attributed negative characteristics to overweight people. Children actively assessed their own size; many wished their bodies were different and some were anxious about their shape.Reviewers judged that children's engagement and participation in discussion had only rarely been supported in the included studies, and few study findings had depth or breadth. CONCLUSIONS Initiatives need to consider the social aspects of obesity, in particular unhelpful beliefs, attitudes and discriminatory behaviours around body size. Researchers and policy-makers should involve children actively and seek their views on appropriate forms of support around this issue.
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Clinical review: treatment of pediatric obesity: a systematic review and meta-analysis of randomized trials.
McGovern, L, Johnson, JN, Paulo, R, Hettinger, A, Singhal, V, Kamath, C, Erwin, PJ, Montori, VM
The Journal of clinical endocrinology and metabolism. 2008;93(12):4600-5
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Childhood obesity represents a significant problem to society. It is associated with increased incidence of adult obesity and cardiovascular risk factors. This report was commissioned by the Endocrine Society to help them formulate a clinical practice guidance for paediatric obesity. The review completed a meta-analysis and systematic review of randomised controlled trials up until February 2006. It focused on exploring the efficacy of weight loss interventions (diet, lifestyle and pharmacological agents) for overweight children and adolescents (aged 2-18 years). The authors concluded that there was evidence of short-term efficacy of pharmacological interventions (sibutramine and orlistat in adolescents) on body mass index (BMI). The review also reported a moderate effect of physical activity on adiposity but not BMI, and a small to moderate effect of combined lifestyle interventions on BMI. The impact of parental influence on treatment for childhood obesity remain unclear, although the authors suggest it may be of benefit among children aged 8 years and over. Additionally, the long-term efficacy of obesity treatments on the health of children and adolescents remains unclear.
Abstract
CONTEXT The efficacy of treatments for pediatric obesity remains unclear. OBJECTIVE We performed a systematic review of randomized trials to estimate the efficacy of nonsurgical interventions for pediatric obesity. DATA SOURCES Librarian-designed search strategies of nine electronic databases from inception until February 2006, review of reference lists from published reviews, and content expert advice provided potentially eligible studies. STUDY SELECTION Eligible studies were randomized trials of overweight children and adolescents assessing the effect of nonsurgical interventions on obesity outcomes. DATA EXTRACTION Independently and in duplicate, reviewers assessed the quality of each trial and collected data on interventions and outcomes. DATA SYNTHESIS Of 76 eligible trials, 61 had complete data for meta-analysis. Short-term medications were effective, including sibutramine [random-effects pooled estimate of body mass index (BMI) loss of 2.4 kg/m(2) with a 95% confidence interval (CI) of 1.8-3.1; proportion of between-study inconsistency not due to chance (I(2)) = 30%] and orlistat (BMI loss = 0.7 kg/m(2); CI = 0.3-1.2; I(2) = 0%). Trials that measured the effect of physical activity on adiposity (i.e. percent body fat and fat-free mass) found a moderate treatment effect (effect size = -0.52; CI = -0.73 to -0.30; I(2) = 0%), whereas trials measuring the effect on BMI found no significant effect (effect size = -0.02; CI = -0.21 to 0.18; I(2) = 0%), but reporting bias may explain this finding. Combined lifestyle interventions (24 trials) led to small changes in BMI. CONCLUSIONS Limited evidence supports the short-term efficacy of medications and lifestyle interventions. The long-term efficacy and safety of pediatric obesity treatments remain unclear.