Immigration Experience and Cognitive Function Trajectories Among Older Chinese Immigrants.

OBJECTIVES: Although a number of studies have documented cognitive health among older immigrants in the United States, little is known about how the life-course immigration experiences are associated with cognitive trajectories among older Chinese immigrants. We assess patterns of cognitive functioning and change over time and examine whether age at migration, reasons for migration, acculturation, perceived discrimination, and preferred dialects are related to cognitive trajectories. METHODS: The sample comprised 2,075 participants from the Population Study of Chinese Elderly (PINE), who completed a battery of cognitive tests at four time points (2011-2019). Latent class growth analysis and multinomial logistic regression were utilized. RESULTS: Three latent classes of cognitive trajectories were identified: the low functioning with the fastest decline (LCF, 12%), the moderate functioning with a medium decline rate (MCF, 39%), and the high functioning with the slowest decline (HCF, 48%). Perceiving more discrimination reduced, whereas speaking Taishanese increased the odds of being in the LCF and MCF. High acculturation only distinguished MCF from HCF after controlling for the known factors of cognitive health such as age, education, and social engagement. DISCUSSION: This study identifies a group of older Chinese immigrants who are especially vulnerable to cognitive impairment and indicates that the risk of cognitive decline appears to be elevated with lower levels of acculturation and unidentified racial discrimination. More research is needed to fully understand the underlying mechanisms that link the life-course immigration experiences to cognitive health outcomes in later life.

Divergent changes: abstinence and higher-frequency substance use increase among racial/ethnic minority young adults during the COVID-19 global pandemic.

BACKGROUND: Identifying factors influencing substance use among racial/ethnic minorities (REM) is important given the disproportionate impact of the COVID-19 pandemic on this population. OBJECTIVES: We examined factors in four domains and hypothesized that poor mental health, negative coping behaviors, negative environmental aspects, and belonging to more vulnerable social groups would be associated with increased substance use during the pandemic. METHODS: Multiple regression was applied to longitudinal data from a college sample assessed prior (fall 2017 to spring 2019) and during (spring 2020) the pandemic (n= 323; 81.5% cisgender women; 34.5% African-American, 36.1% Asian-American, 15.5% Hispanic/Latinx, 11.8% multi-racial) to identify factors predicting current alcohol, cannabis, and nicotine use frequency (spring 2020) and change in frequency of use between springs 2019 and 2020. RESULTS: While infrequent substance use (monthly or less) decreased during the pandemic, abstinence rates increased (alcohol 39%; cannabis 18%; nicotine 18%) and higher-frequency alcohol use increased (207%-1600% 2-3 times+/week) compared to spring 2019. The strongest protective factor was change in living situation during the pandemic, associated with lower current alcohol and cannabis use. Risk factors included a history of trouble with police and impulsivity since the pandemic, both associated with higher current and increased alcohol and cannabis use. REM did not differ on most factors and the outcomes. However, a higher percentage of Asian-Americans than other REM reported living situation changes. CONCLUSION: Substance use rates diverged during the pandemic, with both increased abstinence and higher-frequency use, attributed mostly to mental health and environmental domain factors with few REM differences.