Between- and within-group comparisons in aging research.

Background & Introduction: Due to the increasing prevalence of type-1-diabetes an increasing number of studies draws investigation draws attention to its psychological effects and long-term consequences. As Type 1 Diabetes Mellitus is a chronic, non-curable, yet maintanable condition, with the affected children and their families facing a lifelong challenge. Our research focuses on the factors influencing adherence. Methods & Results: The adherence of youth was examined in a sample involving 114 patients treated in the Medical and Health Science Centre at the University of Debrecen by employing a new adherence questionnaire (DAQ abbreviated version, Munkácsi et al, 2019) (DAF 2017; N=114). The influence of socio-demographic variables and those related to the disease (age at the diagnosis, time elapsed since diagnosis, method of treatment, the time elapsed since the use of the pump) were measured by linear regression. Furthermore, the between-group comparisons were made by independent sample t-tests and variance analysis. The investigation was carried out between September 2017 and May 2018. The effect of using insulin pump as therapy is significant and positive (0.36. p=0.045). The adherence of the patients using insulin pump is higher while the effect of the age at the diagnosis has a significantly negative effect (-.247, p=0.035). Thus, earlier detection of the disease may lead to a higher level of adherence. The effects of the socio-demographic variables (gender, family structure, educational level, type of the settlement, owning sibling and birth order) were not significant (p>0.05). Regarding the between-group comparisons, a significant difference could be pointed out concerning the siblings and birth-order as the adherence of the those with siblings was higher (p=0.044). Moreover, concerning insulin pump therapy, the adherence of patients using pump was significantly better (p=0.048). Also, regarding the age of the diagnosis, the adherence of those diagnosed before 12 was seemingly higher (p=0.039). Concerning the other socio-demographical and disease-related variables, no significant differences could be detected. Conclusions: The results suggest that the treatment has an outstanding role in the adherence of the disease. Moreover, the role of the appropriate treatment, living conditions as well as the early diagnosis is relevant.

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Inclusive Aging Research Within the Context of Social Determinants of Health

Journal of Applied Gerontology ◽

10.1177/0733464820974653 ◽

2021 ◽

Vol 40 (2) ◽

pp. 119-120

Author(s):

Ishan C. Williams

Keyword(s):

Social Determinants Of Health ◽

Social Determinants ◽

Determinants Of Health ◽

Aging Research

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Physical Inactivity in Older Adult Couples: A Dyadic Analysis Using Continuous In-Home Monitoring

Innovation in Aging ◽

10.1093/geroni/igaa057.1327 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 412-412

Author(s):

Chao-Yi Wu ◽

Lyndsey Miller ◽

Rachel Wall ◽

Zachary Beattie ◽

Jeffrey Kaye ◽

...

Keyword(s):

Mental Health ◽

Older Adults ◽

Older Adult ◽

Physical Inactivity ◽

Home Monitoring ◽

Health Determinants ◽

Dyadic Analysis ◽

Physical And Mental Health ◽

Positive Health ◽

Aging Research

Abstract Many older adults remain inactive despite the known positive health implications of physical activity (e.g. improved mood, reduced mortality risk). Physical inactivity is a known interdependent phenomenon in couples, but the majority of research identifies determinants of physical inactivity at the individual level. We estimated the average amount of physical inactivity for older adult couples and, using dyadic analysis, identified physical and mental health determinants thereof. Forty-eight heterosexual older adult couples (mean age=70.6, SD=6.63) from the Veterans Integrated Service Network 20 cohort of the Collaborative Aging Research using Technology (CART) initiative were included in this study. Both dyad members wore actigraph devices for a month. The average number per day of inactive periods (defined as no movement or sleep activity for ≥ 30 minutes) was estimated. Multilevel modeling revealed that, within couples, there was no difference between partners in the average number of inactive periods, but on average across couples, males had more inactive periods per day (13.4, SD=4.43) than females (12.3, SD=4.87). For males, older age was the only variable associated with more inactive periods (β=0.13, p=.013). For females, more depressive symptoms in men were associated with fewer inactive periods (β=-0.37, p=.002), and more dependence in completing their own IADLs predicted more inactive periods (β=2.80, p<.001). All models were adjusted for covariates. Viewing couples’ activity as a unit, rather than as separate individuals, provides a novel approach to identifying pathways to reduce inactivity in older adults, especially when focusing on mental health issues and decreased independence within the couple.

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Health and longevity studies in C. elegans: the “healthy worm database” reveals strengths, weaknesses and gaps of test compound-based studies

Biogerontology ◽

10.1007/s10522-021-09913-2 ◽

2021 ◽

Vol 22 (2) ◽

pp. 215-236

Author(s):

Nadine Saul ◽

Steffen Möller ◽

Francesca Cirulli ◽

Alessandra Berry ◽

Walter Luyten ◽

...

Keyword(s):

Healthy Aging ◽

Model Organism ◽

Research Field ◽

Aging Research ◽

Genetic Manipulations ◽

C Elegans ◽

Starting Point ◽

Health Related ◽

Phenotype Measurement ◽

Or Gene

AbstractSeveral biogerontology databases exist that focus on genetic or gene expression data linked to health as well as survival, subsequent to compound treatments or genetic manipulations in animal models. However, none of these has yet collected experimental results of compound-related health changes. Since quality of life is often regarded as more valuable than length of life, we aim to fill this gap with the “Healthy Worm Database” (http://healthy-worm-database.eu). Literature describing health-related compound studies in the aging model Caenorhabditis elegans was screened, and data for 440 compounds collected. The database considers 189 publications describing 89 different phenotypes measured in 2995 different conditions. Besides enabling a targeted search for promising compounds for further investigations, this database also offers insights into the research field of studies on healthy aging based on a frequently used model organism. Some weaknesses of C. elegans-based aging studies, like underrepresented phenotypes, especially concerning cognitive functions, as well as the convenience-based use of young worms as the starting point for compound treatment or phenotype measurement are discussed. In conclusion, the database provides an anchor for the search for compounds affecting health, with a link to public databases, and it further highlights some potential shortcomings in current aging research.

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