The Role of Aging Anxiety, Ageism, and Health Locus of Control on Middle-Aged Adults Health Outcomes and Behaviors

Older adults with more ageist attitudes and aging anxiety and who endorse an external health locus of control (HLOC) have poorer mental and physical health and less engagement in healthy behaviors than those who report less ageist attitudes, aging anxiety, and endorse an internal HLOC. However, middle-aged adults have not been examined in this literature. Using Terror Management Theory as a framework, this study examined the relationship of middle-aged adults’ aging anxiety, ageist attitudes, and HLOC with health behaviors and mental and physical health outcomes. 391 middle-aged participants (40-55 years) completed measures of ageist attitudes, aging anxiety, HLOC (Internal, External, and Powerful Other), engagement in health behaviors, mental health, and physical health. The path analysis model demonstrated acceptable fit, χ2(2)=7.794, p=.02, CFI=.99, TLI=.92, RMSEA=.09). For health behaviors, eight of the 10 paths were significant; higher aging anxiety, higher ageist attitudes, and less endorsement of internal HLOC were related to less engagement in healthy behaviors. For mental health and physical health, five of the 10 paths were significant; in general, higher aging anxiety, higher ageist attitudes, and less endorsement of internal HLOC were related to poorer mental and physical health. This study demonstrated that middle-aged adults’ aging anxiety, ageist attitudes, and health locus of control are related to their health behaviors and mental and physical health. Furthermore, higher endorsement of specific forms of ageist attitudes and aging anxiety were related to worse reported mental and physical health and to less engagement in health behaviors. Implications of these findings will be discussed.

Variation in Subjective Aging Among Middle-Aged and Older LGBTQ+ People: An Exploratory Study

Studies suggest that women and men have different experiences of subjective aging—including interpretations of age norms, timing of life course stages, and aging anxieties—but few have addressed variation within sexual and gender diverse communities. Drawing on a sample of middle-age and older LGBTQ+ people from Alabama, North Carolina, and Tennessee (n=923), we analyze how four dimensions of subjective aging (age-related self-perceptions, generalized views of aging, aging bodies, and aging anxieties) vary within the LGBTQ+ population by comparing gay and bisexual cisgender men (GBCM), lesbian and bisexual cisgender women (LBCW), and transgender, gender nonconforming, and non-binary (T/GNC/NB) people. Using multivariate regression models, we find that LBCW reported younger ideal ages, more elongated perceptions of the life course, more negative predictions of prospective health, and less aging anxiety compared to GBCM. Regarding self-perceptions and generalized views of aging, T/GNC/NB people reported younger ideal ages and more condensed perceptions of the life course compared to GBCM. Regarding perceptions of aging bodies, T/GNC/NB people reported more positive views of physical changes within the last five years and more negative predictions of prospective health compared to GBCM. Finally, T/GNC/NB people were less anxious than GBCM about future sex lives but were more anxious about not being able to support other people in the future. Overall, while some results align with studies of the general population, we find that sexual and gender diverse people may have different subjective aging trajectories, and thus experience differential physical and mental health outcomes, compared with cisgender heterosexual adults.

The health status, aging anxiety, social networking, generativity, and happiness of late middle-aged adults

Purpose: This study was conducted to identify the relationship of health status, aging anxiety, social networking, generativity, and happiness and to investigate the main factors influencing happiness of late middle-aged adults.Methods: The study collected data from a total of 153 middle-aged men and women aged 50 to 64 years old from a consumer panel of Macromill-Embrain, the biggest online survey provider in Korea. The data were analyzed using descriptive statistics, Pearson’s correlation coefficient and a stepwise multiple regression using the SPSS 22.0 program.Results: The subjects’ happiness mean score was 16.17±9.29. Statistically significant differences in happiness were found according to education (F=4.38, p=.014), economic status (t=5.13, p<.001), and religion (t=2.18, p=.031). Happiness was correlated significantly with health status (r=.41, p<.001), aging anxiety (r=-.62, p<.001), family support (r=.43, p<.001), friend support (r=.36, p<.001) and generativity (r=.63, p<.001). The factors influencing happiness of late middle-aged adults were generativity (β=.37, p<.001), aging anxiety (β=-.35, p<.001), family support (β=.20, p<.001), and economic status (β=.13, p=.033). The explanatory power of the model was 58.0%.Conclusion: This study will be used as basic data when developing a nursing intervention program for successful aging by identifying factors that affect the happiness of late middle-aged adults.

Psychometric Properties of the Lasher and Faulkender Anxiety about Aging Scale (AAS) among Iranian Older Adults

(1) Background: The older adult population of society is exposed to multiple stressors daily, such as the loss of loved ones, dysfunctional mobility, financial dependence, and suffering from numerous chronic illnesses. The present study aimed to assess the psychometric properties of the Anxiety about Aging Scale among older adults in Iran. (2) Methods: A sample of 703 community-dwelling older adults was recruited and screened using a standardized tool. The mean age of participants was 69.4 ± 8.1 years. The majority of participants were male (59.2%), married (66.6%), and illiterate (79.7%). A ‘forward-backward’ translation method was used in developing the Iranian version of the AAS for assessing the psychometric properties among older adults. Confirmatory factor analysis (CFA) and the Rasch model were used for construct validity. (3) Results: Applying CFA indicated that the model’s four original factors are the best solution, representing 55% of the total variance. The result of the CFA showed that this four-factor model had a good fit for the data. The findings were also confirmed by Rasch analysis. (4) Conclusions: The Persian version of the AAS is valid and reliable for measuring aging anxiety among Iranian older adults.