Meta-Analysis Sample Clauses

Meta-Analysis. Parental care Twenty-five studies were identified that measured perceived parental care (Xxxxxxx, 2011; Xxxxx et al., 2003; Xxxxx, Xxxxxxxx, Xxxx, & Xxxxxxx, 2000; Xxxxx, Xxxxxx, Xxxxx, & Xxxxxx, 1990; Xxxxxxx, Xxxxxx, Lerer, Xxxxxx, & Xxxxxx, 2008; Xxxxx et al., 2012; Xx Xxxxxxxx, Xxxxxxxxx, Xxxxx, Xxxx, & Xxxxxxx, 2003; Xxxx, Xxxxx, Xxxxxx, Yellowlees, & Xxxxxxxx, 2011; Xx Xxxxxxx et al., 1998; Xxxxxxx, Xxxxxxx, Xxxxx, & Xxxx, 2010; Xxxxxxxx et al., 2011; Xxxxx, 1984; Xxxxxxx & Laporte, 2002; Xxxx & Xxxxxxx, 1992; Laporte & Xxxxxxx, 2007; Xxxxx, Xxxxxx, & Xxxxxx, 2000; Xxxxxx, Xxxxxxxxxxx, & Xxxxxxxx, 1988; Xxxxxx & Kroger, 1992; Xxxxxxx, Xxxxx-Xxxxxxxx, Xxx, & Xxxxxxx, 1992; Xxxxxxx, Xxx xxx Xxxx, Xxxxxxxxx, & Xxxxxxxx, 1989; Xxxxxxxx-Xxxxx et al., 2005; Xxxxxxx et al., 2010; Xxxxxxxxxxxx & Perris, 1994; Xxxx, Xxxxxxxxx, & Xxxxxx, 2007; Xxxxxxxxx et al., 2000). Each study measured parental care using the Parental Bonding Instrument (PBI). The studies were included in the meta-analysis shown in the forest plot in Figure 2. People with ED reported lower levels of perceived parental care with a moderate ES 0.53 (95%CI: 0.41, 0.65, p < .001) relative to HC. This overall effect remained moderate .51 (p < .001) after adjusting using the meta-regression and there was no evidence of publication bias (Begg’s test p=.080; Xxxxx’x test p=.413).
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Meta-Analysis. Parental overprotection The same twenty-six studies as in the prior analysis were included in the meta-analysis of perceived parental overprotection shown in Figure 3 (Amianto, 2011; Bonne et al., 2003; Bulik et al., 2000; Calam et al., 1990; Xxxxxxx et al., 2008; Cardi et al., 2012; De Panfilis et al., 2003; Xxxx et al., 2011; Di Pentima et al., 1998; Xxxxxxx et al., 2010; Xxxxxxxx et al., 2011; Xxxxx, 1984; Xxxxxxx & Xxxxxxx, 0000; Kent & Xxxxxxx, 1992; Xxxxxxx & Xxxxxxx, 2007; Xxxxx et al., 2000; Xxxxxx et al., 1988; Xxxxxx & Kroger, 1992; Xxxxxxx et al., 1992; Xxxxxxx et al., 1989; Xxxxxxxx-Xxxxx et al., 2005; Xxxxxxx et al., 2010; Vandereycken & Perris, 1994; Xxxx et al., 2007; Yamaguchi et al., 2000). People with ED reported higher levels of overprotection with a small ES 0.33 (95%CI: 0.21, 0.45, p < .001) relative to HC. This overall effect remained small .29 (p = .022) following adjustments made to the overall effect by the meta-regression. We found evidence of publication bias (Begg’s test p=.025; Xxxxx’x test p=.036). The trim and fill method estimated that twenty studies were missing from the analysis. The adjusted ES remained small .14 (95%CI: 0.01, 0.27, p = .033) after correcting for publication bias using this method.
Meta-Analysis. Alexithymia Twenty-nine studies were identified in the area of alexithymia (Adenzato, Todisco, & Xxxxxx, 2012; Beadle, Paradiso, Xxxxxxx, & XxXxxxxxx, 2013; Bourke, Taylor, Parker, & Xxxxx, 1992; Cochrane, Brewerton, Wilson, & Xxxxxx, 1993; de Groot, Rodin, & Olmsted, 1995; De Panfilis et al., 2003; de Zwaan et al., 1995; de Zwaan, Biener, Bach, Wiesnagrotzki, & Xxxxxxx, 1996; Xxxxxxx et al., 2008; Xxxxxxxxxx, xx Xxxxxxx, Xxxx, Xxxxxxxx, & Xxxxxx, 0000; Jimerson, Wolfe, Franko, Covino, & Sifneos, 1994; Xxxxxxx et al., 2006; Xxxxxxx et al., 2013; Kuhnpast, Xxxxxxx, & Xxxxxxxx, 2012; Miyake, Onoda, Shirao, Okamoto, & Yamawaki, 2012; Nandrino et al., 2012; Xxxxxxxx, Xxxx, Xxxxx, Xxxxxxxxxx, & Pezard, 2006; Xxxxxxx, Xxxxxxxxx, & Xxxxxxx, 0000; Pinaquy, Chabrol, Simon, Louvet, & Barbe, 2003; Pollatos et al., 2008; Schmidt, Jiwany, & Treasure, 1993; Xxxxxxx-Xxxxxx, Mainz, Fink, Xxxxxxxx- Xxxxxxxx, & Konrad, 2012; Xxxxxxxx et al., 2005; Xxxxxx, Parker, Bagby, & Bourke, 1996; Tchanturia, Davies, Harrison, et al., 2012; Xxxxxx et al., 2011; Troop, Schmidt, & Treasure, 1995; Zeeck, Stelzer, Linster, Joos, & Xxxxxxxx, 2011; Zonnevijlle-Bendek et al., 2002; Xxxxxxxxxx-Xxxxxx et al., 2004). The studies are presented in the forest plot in Figure 7. People with ED have high levels of alexithymia with a large ES 1.31 (95%CI: 1.15, 1.46, p < .001). This effect became nonsignificant after adjusting using the meta-regression .66 (p = .50). Publication bias was found (Begg’s test p=.002; Xxxxx’x test p<.001) and fourteen studies were estimated by the trim and fill method to be missing from the analysis. The adjusted ES remained large .99 (95%CI: 0.82, 1.15, p < .001) after correcting for publication bias. Study Measure Outcome Self-Knowledge: Alexithymia SMD (95% CI) % Weight AN Adenzato et al. 2012 Xxxxxx et al. 2013 Bourke et al. 1992 Cochrane et al. 1993a de Zwaan et al. 1996a Eizaguirre et al. 2003a Xxxxxxx et al. 2006a Miyake et al. 2012 Nandrino et al. 2006 Nandrino et al. 2012 Parling et al. 2010 Pollatos et al. 2008 Xxxxxxx et al. 1993 Xxxxxxx-Xxxxxx et al. 2012 Soussignan et al. 2011 Xxxxxxxx et al. 2005a Xxxxxx et al. 1996 Tchanturia et al. 2012a Xxxxxx et al. 2011 Troop et al. 1995a Zonnevijlle-Bendek et al. 2002 Xxxxxxxxxx-Xxxxxx et al. 2004b Subtotal TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS TAS Alexithymia Alexithymia Alexithymia Alexithymia Alexithymia Alexithymia Alexithymia Alexithymia Alexithymia Alexithymia Alexithy...
Meta-Analysis. Insecure attachment Eight studies were identified for the area of insecure attachment. Each study measured classic insecure attachment via-self report (Amianto, Xxxxxx-Xxxx, Morando, Sobrero, & Xxxxxxx, 2011; Chassler, 1997; Holliday, Uher, Landau, Collier, & Treasure, 2006; Illing, Tasca, Balfour, & Xxxxxxx, 2010; Xxxxxx, Xxxxx, & Xxx, 0000; Miljkovitch, Pierrehumbert, Karmaniola, Bader, & Xxxxxx, 2005; Tereno, Soares, Martins, Celani, & Sarnpaio, 2008; Troisi, Massaroni, & Cuzzolaro, 2005). Figure 1 presents the forest plot for the meta-analysis of insecure attachment. Relative to HC, people with ED report insecure attachment with a large ES 0.91 (95%CI: 0.76, 0.07, p < .001). This overall effect remains large even after adjusting with the meta-regression 1.13 (p < .001). There was no evidence of publication bias (Begg’s test p=.537; Xxxxx’x test p=.761). Affiliation and Attachment: Insecure Attachment Affiliation and Attachment 3. Systematic Review of Social Processes in Eating Disorders 74 % Study Measure Outcome Affiliation and Attachment : Insecure attachment SMD (95% CI) Weight AN Xxxxxx et al. 2002a AAS InsecureStyle
Meta-Analysis. Agency The definition of agency according to the RDoC project is "the ability to recognize one’s self as the agent of one’s actions and thoughts, including the recognition of one’s own body/body parts"(as defined in the NIMH workshop: xxxx://xxx.xxxx.xxx.xxx/research-priorities/rdoc/rdoc-social- processes.pdf). The sense of agency refers to the ability to recognize oneself as the agent of a behaviour and, as a result, to the proprioceptive awareness that one's body corresponds to the agent itself (Jeannerod, 2003). Animacy on the other hand is the ability to perceive that another entity is an agent showing contingent behaviours. Five studies measured the sense of agency using experimental tasks (Xxxxxxx et al., 2001; Eshkevari et al., 2012; Guardia, Cottencin, Thomas, Dodin, & Luyat, 2012; Keizer, Smeets, Dijkerman, van Elburg, & Xxxxxx, 2012; Papezova, Yamamotova, & Xxxx, 2005). The studies were included in the forest plot shown in Figure 5. People with ED have a lower sense of agency with a moderate ES 0.50 (95%CI: 0.36, 0.65, p < .001). The overall small effect becomes nonsignificant .39 (p=.264) after using the meta-regression. There was no evidence of publication bias (Begg’s test p=.189; Xxxxx’x test p=.109).
Meta-Analysis. Understanding mental states Twelve studies measured ‘Understanding Mental States’ through experimental tasks (Adenzato et al., 2012; Gillberg et al., 2010; Xxxxxxx & Treasure, 2013; Xxxxxxx et al., 2013; Harrison, Tchanturia, et al., 2010; Xxxxxxxx et al., 2009; Xxxxxx et al., 2012; Xxxxxx-Xxxxxx, Xxxxxxx, Xxxxxxx-Moya, Grau, & Obiols, 2012; Xxxxxxxxx et al., 2010; Renwick, Dejong, et al., 2013; Russell, Schmidt, Doherty, Young, & Tchanturia, 2009; Tchanturia et al., 2004). The studies were included in the forest plot shown in Figure 8. Individuals with ED showed poorer perception of the mental states of others relative to HC. The overall ES was moderate at .44 (95%CI: 0.27, 0.62, p < .001) and this became larger 1.07 (p = .001) after adjusting using the meta-regression. Publication bias was found (Begg’s test p=.002; Xxxxx’x test p=.001. The trim and fill method estimated that four studies were missing from the analysis. The adjusted ES remained small .32 (95%CI: 0.13, 0.50, p = .001) after correcting for this bias.
Meta-Analysis. Social dominance Eight studies were included in the meta-analysis of social dominance (Cardi et al., 2014; Carter, Kelly, & Xxxxxxx, 2012; Xxxxx & Xxxxx, 2012; Hartmann, Zeeck, & Xxxxxxx, 2010; Masheb, Grilo, & Xxxxxxxx, 0000; Swan & Xxxxxxx, 2003; Troop et al., 1995; Waller, Ohanian, Xxxxx, & Xxxxx, 2000). These studies measured social dominance through self-report questionnaires. They are presented in the forest plot shown in Figure 9. People with ED reported a greater sense of social inferiority than controls with a large ES at 1.22 (95%CI: 0.87, 1.56, p < .001) and this overall effect remained large 1.08 (p = .006) after adjusting using the meta-regression. There was no evidence of publication bias (Begg’s test p=.381; Xxxxx’x test p=.089).
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Meta-Analysis. Insights gained from meta-analysis can be useful to resolve several issues faced in combining surveys, as survey heterogeneity, planning data collection, and pooling data across surveys (Xxxxxx 1999). Xxxxx and Xxxxxxxxx (1990) define meta-analysis as “the practice of using statistical methods to combine the outcomes of a series of different experiments or investigations”. It implies four steps: identifying all relevant studies; assessing study quality; dealing with study heterogeneity; and summarizing the results. Xxxx (1998b), in the context of constructing an average birth rate for a continent using separate country birth rates, proposes three options for pooling multinational samples that are directly comparable to the three main meta-analytic models for combining study effect sizes: fixed effects (equal weight to each country’s estimate); equal effects (all subjects are independent and of equal importance); and random effects (weighed averages of the study proportions). Combining separate sites When similar data are collected in several sites (cities, provinces or districts of one country) of a combined population, but not in all of the sites, alternative treatments of them are possible (Xxxx 1999a). In combining separate sites three decisions must be made: the allocation of sample sizes, whether the samples should be combined and what weighting to use. These are expressed as follows by Xxxx.

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