The “Flynn effect” refers to the observed rise in IQ scores over time, resulting in norms obsolescence. Although the Flynn effect is widely accepted, most approaches to estimating it have relied upon “scorecard” approaches that make estimates of its magnitude and error of measurement controversial and prevent determination of factors that moderate the Flynn effect across different IQ tests. We conducted a meta-analysis to determine the magnitude of the Flynn effect with a higher degree of precision, to determine the error of measurement, and to assess the impact of several moderator variables on the mean effect size. Across 285 studies (N = 14,031) since 1951 with administrations of two intelligence tests with different normative bases, the meta-analytic mean was 2.31, 95% CI [1.99, 2.64], standard score points per decade. The mean effect size for 53 comparisons (N = 3,951) (excluding three atypical studies that inflate the estimates) involving modern (since 1972) Stanford-Binet and Wechsler IQ tests (2.93, 95% CI [2.3, 3.5], IQ points per decade) was comparable to previous estimates of about 3 points per decade, but not consistent with the hypothesis that the Flynn effect is diminishing. For modern tests, study sample (larger increases for validation research samples vs. test standardization samples) and order of administration explained unique variance in the Flynn effect, but age and ability level were not significant moderators. These results supported previous estimates of the Flynn effect and its robustness across different age groups, measures, samples, and levels of performance.

We conducted a meta-analysis of 28 studies comprising 39 samples to ask the question, “What is the magnitude of the association between various baseline child cognitive characteristics and response to reading intervention?” Studies were located via literature searches, contact with researchers in the field, and review of references from the National Reading Panel Report. Eligible participant populations included at-risk elementary school children enrolled in the third grade or below. Effects were analyzed using a shifting unit of analysis approach within three statistical models: cognitive characteristics predicting growth curve slope (Model 1, mean r = .31), gain (Model 2, mean r = .21), or postintervention reading controlling for preintervention reading (Model 3, mean r = .15). Effects were homogeneous within each model when effects were aggregated within study. The small size of the effects calls into question the practical significance and utility of using cognitive characteristics for prediction of response when baseline reading is available.

Purpose Chemotherapy-induced peripheral neuropathy (CIPN) and obesity are prevalent in cancer survivors and decrease quality of life; however, the impact of the co-occurrence of these conditions has garnered little attention. This study investigated differences between obese and non-obese cancer survivors with CIPN and predictors of symptom burden and pain. Methods Patients with CIPN were administered the MD Anderson Symptom Inventory and a modified version of pain descriptors from the McGill Pain Inventory. Independent t tests assessed group differences between obese and non-obese survivors, and linear regression analyses explored predictors of patient outcomes. Results Results indicated a significant difference in symptom severity scores for obese (M = 32.89, SD = 25.53) versus non-obese (M = 19.35, SD = 16.08) patients (t(37.86) = −2.49, p = .02). Significant differences were also found for a total number of pain descriptors endorsed by obese (M = 4.21, SD = 3.45) versus non-obese (M = 2.42, SD = 2.69) participants (t(74) = −2.53, p = .01). Obesity was a significant predictor of symptom severity and total pain descriptors endorsed. Other significant predictors included age and months since treatment. Conclusions Cancer survivors with CIPN and co-occurring obesity may be more at risk for decreased quality of life through increased symptom severity and pain compared to non-obese survivors. This paper identified risk factors, including obesity, age, and months since treatment, that can be clinically identified for monitoring distress in CIPN patients. Future research should focus on the longitudinal relationship between obesity and CIPN, and robust interventions to address the multifaceted issues faced by cancer survivors.

This is a single-case study of an obese African American female Veteran who has posttraumatic stress disorder (PTSD) and depression. Her presenting psychological symptoms included clinically significant night terrors, insomnia, low self-worth, low motivation, and social isolation. Poor dietary and physical activity responses to her psychological symptoms contributed to her weight gain, as well as interfered with weight-loss efforts. A telephone-based cognitive behavioral treatment integrating mental and behavioral health principles was provided. Over the course of eight sessions, the Veteran learned psychological symptom and behavioral monitoring, thought stopping, cognitive restructuring, deep breathing, calming thoughts, social support, sleep hygiene, and problem-solving skills. Client-centered PTSD and weight-management treatment goals were integrated into each session. The client evidenced weight loss, improved dietary and physical activity habits, and experienced a reduction in PTSD and depression symptoms. This case study demonstrates that an integrated cognitive behavioral treatment approach can be beneficial for decreasing PTSD and depression barriers to weight loss.