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1 Neuropsychological Assessment with Lesbian, Gay, Bisexual, Transgender, Queer (LGBTQ+) Individuals: Results from a Practice, Education, and Training Survey
- Anthony N Correro II, Kate LM Hinrichs, Mira C Krishnan, Emily H Trittschuh, Maria Easter Cottingham, Brett A Parmenter, Jinkyung Kang, Julija Stelmokas
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- Journal:
- Journal of the International Neuropsychological Society / Volume 29 / Issue s1 / November 2023
- Published online by Cambridge University Press:
- 21 December 2023, pp. 85-86
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Objective:
The field of clinical neuropsychology has increasingly recognized the importance of cultural and identity factors through the development of clinical, research, and educational initiatives. Only within the last 10 years have guidelines for psychological practice with lesbian, gay, bisexual, transgender, and queer (LGBTQ+) people included recommendations for neuropsychological assessment. However, it remains unclear to what extent neuropsychologists have acquired the knowledge and skills necessary to implement these recommendations. It is also unknown whether they engage in LGBTQ+ inclusive neuropsychological assessment. In this study, we surveyed the LGBTQ+ related education, training, and clinical practice of independently licensed neuropsychologists in the United States. We sought to understand the implementation of inclusive guidelines, including factors that predict affirmative neuropsychological assessment. We hypothesized that sexual/gender identities, female identity, recency of training, and LGBTQ+ related education would be associated with use of recommended practices.
Participants and Methods:A workgroup of clinical psychologists with experience in LGBTQ+ psychology and neuropsychology developed a survey to identify personal and professional factors that predict LGBTQ+ affirmative neuropsychological assessment practices. The survey was distributed through professional organizations and listservs between August and September 2021 with 118 responses meeting inclusionary criteria. We used logistic, multinomial logistic, and ordinal logit regressions to examine unadjusted, univariate effects. Predictors included in the final, adjusted, univariate and multivariate models were those for which we had specific hypotheses and variables that predicted more than two affirming practice behaviors.
Results:The majority of participants identified as heterosexual (70.3%), cisgender (97.5%), and female (66.1%). Participants reported obtaining their highest degree between 1977 and 2019. Most obtained a Ph.D. (73.7%), were not board-certified (69.5%), and worked primarily with adults (54.2%). Generally, participants reported having little experience working with LGBTQ+ patients. However, they reported greater exposure to lesbian, gay, and bisexual identities as compared to transgender and queer identities. Most (48-63%) received LGBTQ+ training post-licensure. Between 19% and 32% of participants reported never completing LGBTQ+ specific education. Participants described using affirmative clinical practice behaviors either “always/often” or “never/rarely.” Factors predicting those practice behaviors were LGBTQ+ education/training, prior experience with LGBTQ+ patients, primary patient population (child vs. adult), and personal background (sexual minority status, female gender, and years since degree). When in need of consultation, the current sample consulted with their colleagues most often (n = 95) followed by academic literature (n = 90) and professional organizations (n = 80). Qualitative responses indicated varying attitudes and knowledge regarding collection of LGBTQ+ information and modification of clinical practice.
Conclusions:Consistent with the broader clinical psychology literature, neuropsychologists have limited education/training on LGBTQ+ concepts. Neuropsychologists underutilize affirming practices as evidenced by low rates of querying pronouns, knowing whether LGBTQ+ health information is available at their institutions, and adjusting evaluation and feedback approaches. Our findings imply a great need to expand continuing education trainings to address providers’ gaps and limitations, including opportunities for inclusive neuropsychological services throughout the assessment process (interview, testing, feedback). We present additional recommendations for future research as well as resources.
Decreased hemoglobin levels, cerebral small-vessel disease, and cortical atrophy: among cognitively normal elderly women and men
- Sang Eon Park, Hojeong Kim, Jeongmin Lee, Na Kyung Lee, Jung Won Hwang, Jin-ju Yang, Byoung Seok Ye, Hanna Cho, Hee Jin Kim, Yeo Jin Kim, Na-Yeon Jung, Tae Ok Son, Eun Bin Cho, Hyemin Jang, Eun Young Jang, Chang Hyung Hong, Jong-Min Lee, Mira Kang, Hee-Young Shin, Duk L. Na, Sang Won Seo
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- Journal:
- International Psychogeriatrics / Volume 28 / Issue 1 / January 2016
- Published online by Cambridge University Press:
- 20 May 2015, pp. 147-156
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Background:
Decreased hemoglobin levels increase the risk of developing dementia among the elderly. However, the underlying mechanisms that link decreased hemoglobin levels to incident dementia still remain unclear, possibly due to the fact that few studies have reported on the relationship between low hemoglobin levels and neuroimaging markers. We, therefore, investigated the relationships between decreased hemoglobin levels, cerebral small-vessel disease (CSVD), and cortical atrophy in cognitively healthy women and men.
Methods:Cognitively normal women (n = 1,022) and men (n = 1,018) who underwent medical check-ups and magnetic resonance imaging (MRI) were enrolled at a health promotion center. We measured hemoglobin levels, white matter hyperintensities (WMH) scales, lacunes, and microbleeds. Cortical thickness was automatically measured using surface based methods. Multivariate regression analyses were performed after controlling for possible confounders.
Results:Decreased hemoglobin levels were not associated with the presence of WMH, lacunes, or microbleeds in women and men. Among women, decreased hemoglobin levels were associated with decreased cortical thickness in the frontal (Estimates, 95% confidence interval, −0.007, (−0.013, −0.001)), temporal (−0.010, (−0.018, −0.002)), parietal (−0.009, (−0.015, −0.003)), and occipital regions (−0.011, (−0.019, −0.003)). Among men, however, no associations were observed between hemoglobin levels and cortical thickness.
Conclusion:Our findings suggested that decreased hemoglobin levels affected cortical atrophy, but not increased CSVD, among women, although the association is modest. Given the paucity of modifiable risk factors for age-related cognitive decline, our results have important public health implications.
Association between body mass index and cortical thickness: among elderly cognitively normal men and women
- Hojeong Kim, Changsoo Kim, Sang Won Seo, Duk L. Na, Hee Jin Kim, Mira Kang, Hee-Young Shin, Seong Kyung Cho, Sang eon Park, Jeongmin Lee, Jung Won Hwang, Seun Jeon, Jong-Min Lee, Geon Ha Kim, Hanna Cho, Byoung Seok Ye, Young Noh, Cindy W. Yoon, Eliseo Guallar
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- Journal:
- International Psychogeriatrics / Volume 27 / Issue 1 / January 2015
- Published online by Cambridge University Press:
- 29 September 2014, pp. 121-130
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Background:
There is increasing evidence of a relationship between underweight or obesity and dementia risk. Several studies have investigated the relationship between body weight and brain atrophy, a pathological change preceding dementia, but their results are inconsistent. Therefore, we aimed to evaluate the relationship between body mass index (BMI) and cortical atrophy among cognitively normal participants.
Methods:We recruited cognitively normal participants (n = 1,111) who underwent medical checkups and detailed neurologic screening, including magnetic resonance imaging (MRI) in the health screening visits between September 2008 and December 2011. The main outcome was cortical thickness measured using MRI. The number of subjects with five BMI groups in men/women was 9/9, 148/258, 185/128, 149/111, and 64/50 in underweight, normal, overweight, mild obesity, and moderate to severe obesity, respectively. Linear and non-linear relationships between BMI and cortical thickness were examined using multiple linear regression analysis and generalized additive models after adjustment for potential confounders.
Results:Among men, underweight participants showed significant cortical thinning in the frontal and temporal regions compared to normal weight participants, while overweight and mildly obese participants had greater cortical thicknesses in the frontal region and the frontal, temporal, and occipital regions, respectively. However, cortical thickness in each brain region was not significantly different in normal weight and moderate to severe obesity groups. Among women, the association between BMI and cortical thickness was not statistically significant.
Conclusions:Our findings suggested that underweight might be an important risk factor for pathological changes in the brain, while overweight or mild obesity may be inversely associated with cortical atrophy in cognitively normal elderly males.
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