scholarly journals International relevance of Two Measures of Awareness of Age-Related Change (AARC)

2020 ◽  
Author(s):  
serena sabatini ◽  
Obioha C Ukoumunne ◽  
Clive Ballard ◽  
Allyson Brothers ◽  
Roman Kaspar ◽  
...  
Keyword(s):  
Cognitive Functioning ◽  
Convergent Validity ◽  
Demographic Variables ◽  
Cognitive Health ◽  
Age Related ◽  
Males And Females ◽  
University Degree ◽  
Gains And Losses ◽  
Functioning Subscale ◽  
Age Related Changes

Abstract Background: A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over. Methods: Data from 9,410 participants (Mean (SD) age= 65.9 (7.1)) in the PROTECT cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across males and females and across individuals with and without a university degree; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We also explored the relationship between demographic variables and AARC. Results: We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability. Convergent validity was good for AARC losses, but weaker for AARC gains. The meaning of AARC gains and losses was the same across males and females and across individuals with and without a university degree. Items in the AARC scales had the same meaning across individuals with and without a university degree. Items in the AARC-50 cognitive functioning subscale had the same meaning across males and females. Single items in the AARC-10 SF had different meaning across males and females. Demographic variables predicted AARC gains and losses. Conclusions: The AARC-10 SF and AARC-50 cognitive functioning subscale can help to identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

scholarly journals International relevance of Two Measures of Awareness of Age-Related Change (AARC)

2020 ◽  
Author(s):  
Serena Sabatini ◽  
Obioha C Ukoumunne ◽  
Clive Ballard ◽  
Allyson Brothers ◽  
Roman Kaspar ◽  
...  
Keyword(s):  
Cognitive Functioning ◽  
Convergent Validity ◽  
Demographic Variables ◽  
Cognitive Health ◽  
Age Related ◽  
Males And Females ◽  
University Degree ◽  
Gains And Losses ◽  
Functioning Subscale ◽  
Age Related Changes

Abstract Background: A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over.Methods: Data from 14,797 participants in the “blind for review” cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across males and females and across individuals with and without a university degree; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We also explored the relationship between demographic variables and AARC.Results: We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and convergent validity. The meaning of AARC gains and losses was the same across males and females and across individuals with and without a university degree. Items composing AARC scales had the same meaning across individuals with and without a university degree. Items composing the AARC-50 cognitive functioning subscale had the same meaning across males and females. Two items in the AARC-10 SF had different meaning across males and females. Demographic variables significantly predicted AARC gains and losses.Conclusions: The AARC-10 SF and AARC-50 cognitive functioning subscale can help to identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

scholarly journals UK Validation of Two Measures of Awareness of Age-Related Change (AARC)

2019 ◽  
Author(s):  
serena sabatini ◽  
Obioha Ukoumunne ◽  
Clive Ballard ◽  
Allyson Brothers ◽  
Roman Kaspar ◽  
...  
Keyword(s):  
Cognitive Functioning ◽  
Convergent Validity ◽  
Demographic Variables ◽  
Cognitive Health ◽  
Age Related ◽  
Males And Females ◽  
University Degree ◽  
Gains And Losses ◽  
Functioning Subscale ◽  
Age Related Changes

Abstract Background: A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over. Methods: Data from 14,797 participants in the PROTECT cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across males and females and across individuals with and without a university degree; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We also explored the relationship between demographic variables and AARC. Results: We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and convergent validity. The meaning of AARC gains and losses was the same across males and females and across individuals with and without a university degree. Items composing AARC scales had the same meaning across individuals with and without a university degree. Items composing the AARC-50 cognitive functioning subscale had the same meaning across males and females. Two items in the AARC-10 SF had different meaning across males and females. Demographic variables significantly predicted AARC gains and losses. Conclusions: The AARC-10 SF and AARC-50 cognitive functioning subscale can help to identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

scholarly journals International relevance of Two Measures of Awareness of Age-Related Change (AARC)

2020 ◽  
Author(s):  
serena sabatini ◽  
Obioha C Ukoumunne ◽  
Clive Ballard ◽  
Allyson Brothers ◽  
Roman Kaspar ◽  
...  
Keyword(s):  
Cognitive Functioning ◽  
Convergent Validity ◽  
Demographic Variables ◽  
Cognitive Health ◽  
Age Related ◽  
Males And Females ◽  
University Degree ◽  
Gains And Losses ◽  
Functioning Subscale ◽  
Age Related Changes

Abstract Background A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over. Methods Data from 14,797 participants in the PROTECT cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across males and females and across individuals with and without a university degree; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We also explored the relationship between demographic variables and AARC. Results We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and convergent validity. The meaning of AARC gains and losses was the same across males and females and across individuals with and without a university degree. Items composing AARC scales had the same meaning across individuals with and without a university degree. Items composing the AARC-50 cognitive functioning subscale had the same meaning across males and females. Two items in the AARC-10 SF had different meaning across males and females. Demographic variables significantly predicted AARC gains and losses. Conclusions The AARC-10 SF and AARC-50 cognitive functioning subscale can help to identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

scholarly journals International relevance of Two Measures of Awareness of Age-Related Change (AARC)

2020 ◽  
Author(s):  
serena sabatini ◽  
Obioha C Ukoumunne ◽  
Clive Ballard ◽  
Allyson Brothers ◽  
Roman Kaspar ◽  
...  
Keyword(s):  
Cognitive Functioning ◽  
Old Age ◽  
Factor Structure ◽  
Convergent Validity ◽  
University Education ◽  
Cognitive Health ◽  
Age Related ◽  
Gains And Losses ◽  
Functioning Subscale ◽  
Age Related Changes

Abstract Background: A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over. Methods: Data from 9,410 participants (Mean (SD) age= 65.9 (7.1)) in the PROTECT cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across men and women, individuals with and without a university degree, and in middle age, early old age, and advanced old age; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We explored the relationship between demographic variables (age, sex, marital status, employment, and university education) and AARC. Results: We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and good convergent validity for AARC losses, but weak convergent validity for AARC gains. For both scales metric invariance was held for the two subgroups defined by education level and age. For the AARC-50 subscale, but not for the AARC-10 SF, strong invariance was also held for the two subgroups defined by sex. Age, sex, marital status, employment, and university education predicted AARC gains and losses. Conclusions: The AARC-10 SF and AARC-50 cognitive functioning subscale identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

scholarly journals International relevance of two measures of awareness of age-related change (AARC)

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Serena Sabatini ◽  
Obioha C. Ukoumunne ◽  
Clive Ballard ◽  
Allyson Brothers ◽  
Roman Kaspar ◽  
...  
Keyword(s):  
Cognitive Functioning ◽  
Old Age ◽  
Factor Structure ◽  
Convergent Validity ◽  
University Education ◽  
Cognitive Health ◽  
Age Related ◽  
Gains And Losses ◽  
Functioning Subscale ◽  
Age Related Changes

Abstract Background A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over. Methods Data from 9410 participants (Mean (SD) age = 65.9 (7.1)) in the PROTECT cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across men and women, individuals with and without a university degree, and in middle age, early old age, and advanced old age; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We explored the relationship between demographic variables (age, sex, marital status, employment, and university education) and AARC. Results We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and good convergent validity for AARC losses, but weak convergent validity for AARC gains. For both scales metric invariance was held for the two subgroups defined by education level and age. For the AARC-50 subscale, but not for the AARC-10 SF, strong invariance was also held for the two subgroups defined by sex. Age, sex, marital status, employment, and university education predicted AARC gains and losses. Conclusions The AARC-10 SF and AARC-50 cognitive functioning subscale identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

scholarly journals Differences In Awareness of Positive And Negative Age-Related Changes Account For Variability In Health Outcomes

2021 ◽  
Author(s):  
Serena Sabatini ◽  
Obioha Ukoumunne ◽  
Allyson Brothers ◽  
Manfred Diehl ◽  
Hans-Werner Wahl ◽  
...  
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Chi Square ◽  
Cross Sectional ◽  
Cognitive Health ◽  
Age Related ◽  
Class 1 ◽  
Protect Study ◽  
Gains And Losses ◽  
Age Related Changes

Abstract Higher awareness of positive age-related changes (AARC gains) is related to better mental health, whereas higher awareness of negative age-related changes (AARC losses) is related to poorer mental and physical health. So far perceived gains and losses have been explored separately, but people report gains and losses concurrently in varying degrees, and different profiles of gains and losses may be differentially associated with health. We identified profiles of gains and losses and explored whether different profiles differed in physical, mental, and cognitive health. We used cross-sectional data from the PROTECT study (N= 6,192; mean(SD) age= 66.1(7.0)). Using latent profile analysis, a four-class solution showed the best model fit. We found that 45% of people perceived many gains and few losses (Class 1); 24% perceived moderate gains and few losses (Class 2); 24% perceived many gains and moderate losses (Class 3); 7% perceived many gains and many losses (Class 4). Analysis of variance and Chi-square tests showed that Class 1 had relatively better physical, mental, and cognitive health, followed by Classes 2, 3, and 4. Experiencing one’s ageing to a high degree as gain may be related to better health only when individuals interpret ageing as involving low levels of loss across several life domains. Risk in terms of poorer health emerged in those who perceived high losses. Considering gains and losses in parallel, rather than separately, may lead to a more fine-tuned understanding of relations with health.

Age-related changes in the TRB and IGH repertoires in healthy adult males and females

2021 ◽  
Author(s):  
Mingxing Gong ◽  
Xueying Li ◽  
Anqi Zheng ◽  
Hongxu Xu ◽  
Shi Xie ◽  
...  
Keyword(s):  
Healthy Adult ◽  
Adult Males ◽  
Age Related ◽  
Males And Females ◽  
Age Related Changes

Managing expectations: How stress, social support, and aging attitudes affect awareness of age-related changes

2019 ◽  
Vol 37 (3) ◽  
pp. 986-1007
Author(s):  
Erica L. O’Brien ◽  
Neika Sharifian
Keyword(s):  
Social Support ◽  
Online Survey ◽  
Well Being ◽  
Age Related ◽  
Aging Attitudes ◽  
Amazon's Mechanical Turk ◽  
And Function ◽  
Gains And Losses ◽  
Future Work ◽  
Age Related Changes

The degree to which social support (SS) moderates the effects of stress on self-perceptions of aging may depend on individual differences in general aging attitudes. We examined how stress, different types of SS, and general expectations regarding aging (ERA) affect awareness of age-related changes (AARCs). The sample included 137 adults (21–76 years; 56.2% women) who took an online survey on Amazon’s Mechanical Turk. Regression analyses showed differential moderation of stress effects due to ERA and the SS measure (perceived and received) and function (emotional and instrumental). Received emotional SS was only associated with AARC losses, whereas perceived support—both emotional and instrumental—was associated with AARC gains and losses. Findings may help guide future work aimed at promoting health and well-being in adulthood.

scholarly journals Genetic influence on electrocardiogram time intervals and heart rate in aging mice

2009 ◽  
Vol 296 (6) ◽  
pp. H1907-H1913 ◽  
Author(s):  
Shuqin Xing ◽  
Shirng-Wreng Tsaih ◽  
Rong Yuan ◽  
Karen L. Svenson ◽  
Linda M. Jorgenson ◽  
...  
Keyword(s):  
Heart Rate ◽  
Inbred Strains ◽  
Genetic Influence ◽  
Cardiac Conduction ◽  
Qrs Complex ◽  
Time Intervals ◽  
Age Related ◽  
Males And Females ◽  
Heritability Estimates ◽  
Age Related Changes

Understanding the genetic influence on ECG time intervals and heart rate (HR) is important for identifying the genes underlying susceptibility to cardiac arrhythmias. The objective of this study was to determine the genetic influence on ECG parameters and their age-related changes in mice. ECGs were recorded in lead I on 8 males and 8 females from each of 28 inbred strains at the ages of 6, 12, and 18 mo. Significant interstrain differences in the P-R interval, QRS complex duration, and HR were found. Age-related changes in the P-R interval, QRS complex duration, and HR differed among strains. The P-R interval increased with age in 129S1/SvlmJ females. The QRS complex duration decreased with age in C57BR/J males and DBA2/J females but increased in NON/ShiLtJ females. HR decreased in C57L/J females and SM/J and P/J males but increased in BALB/cByJ males. Differences between males and females were found for HR in SJL/J mice and in the P-R interval in 129S1/SvlmJ mice. Broad-sense heritability estimates of ECG time intervals and HR ranged from 0.31 for the QRS complex duration to 0.52 for the P-R interval. Heritability estimates decreased with age for the P-R interval. Our study revealed that genetic factors play a significant role on cardiac conduction activity and age-related changes in ECG time intervals and HR.

Changes with age of mammary glands in male and female soft-furred rat, Millardia meltada, in relation to prolactin and testosterone

1994 ◽  
Vol 28 (1) ◽  
pp. 35-43
Author(s):  
H. Nagasawa ◽  
T. Mori ◽  
S. Sakamoto ◽  
S. Sassa ◽  
Y. Yamamuro ◽  
...  
Keyword(s):  
Enzyme Activities ◽  
De Novo ◽  
Serum Levels ◽  
Mammary Glands ◽  
Ventral Prostate ◽  
Male And Female ◽  
Age Related ◽  
Males And Females ◽  
Salvage Pathways ◽  
Age Related Changes

The soft-furred rat, millardia ( Millardia meltada), is characterized by the development of androgen-dependent mammary tumours only in males. The age-related changes of the activities of thymidylate synthetase (TS) and thymidine kinase (TK), which contribute to DNA synthesis through de novo and salvage pathways, respectively, and structure in the mammary glands were studied in both males and females of this species between 5-28 months of age. While TK activity had no relation to age, TS activity decreased with age in males. In the females, TK activity increased with age, but not TS activity. These enzyme activities were generally higher in females than in males. The mammary glands of both sexes consisted of fine ducts with small end-buds and the glands of males contained mostly black pigments at any age examined. In either males or females, serum levels of prolactin and testosterone related little with age, DNA synthesizing enzyme activities or structure of the mammary glands. Furthermore, elevation by pituitary grafting of circulating prolactin affected neither DNA synthesizing enzyme activities nor structure of mammary glands in both sexes. The histological structures of adrenal, testis, ovary, ventral prostate and uterus of millardia were essentially similar to those of mice or rats.

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