scholarly journals Age-Related Alterations in Endocrine Markers Do Not Match Changes in Psychosocial Measures: Findings From the Men’s Health 40+ Longitudinal Study

2020 ◽  
Vol 14 (3) ◽  
pp. 155798832092633
Author(s):  
T.J. Lacker ◽  
A. Walther ◽  
U. Ehlert
Keyword(s):  
Healthy Aging ◽  
Mixed Model ◽  
Dehydroepiandrosterone Sulfate ◽  
Preventive Interventions ◽  
Mixed Model Approach ◽  
Random Intercept ◽  
Age Related ◽  
Aging Men ◽  
Age Related Changes ◽  
Model Approach

While life expectancy continues to increase, aging can bring several distinct endocrine and psychosocial changes. The study aimed to investigate the interplay between biopsychosocial factors of healthy aging in specifically healthy aging men. Ninety-seven healthy aging men were investigated at two time points spanning 4 years. Participants completed questionnaires measuring several psychosocial dimensions and gave saliva samples for hormone quantification during a laboratory appointment. The study applied a random intercept mixed-model approach. Age-related changes were found in most endocrine markers (cortisol, testosterone, dehydroepiandrosterone-sulfate, and progesterone), except for estradiol. Psychosocial measures remained stable, except for increased social support. Further, changes in endocrine and psychosocial measures were independent of each other. The results suggest that in healthy aging men, age-related endocrine changes occur, but do not necessarily determine a change in psychosocial measures. Potentially, preventive interventions can be derived from these results.

scholarly journals A Fumonisin Prevention Tool for Targeting and Ranking Agroclimatic Conditions Favoring Exposure in French Maize-Growing Areas

Toxins ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 214
Author(s):  
Agathe Roucou ◽  
Christophe Bergez ◽  
Benoît Méléard ◽  
Béatrice Orlando
Keyword(s):  
Mixed Model ◽  
Linear Mixed Model ◽  
Fusarium Verticillioides ◽  
Agricultural Practices ◽  
Climatic Conditions ◽  
Agricultural Cooperatives ◽  
Mixed Model Approach ◽  
Food And Feed ◽  
Model Approach

The levels of fumonisins (FUMO)—mycotoxins produced by Fusarium verticillioides—in maize for food and feed are subject to European Union regulations. Compliance with the regulations requires the targeting of, among others, the agroclimatic factors influencing fungal contamination and FUMO production. Arvalis-Institut du végétal has created a national, multiyear database for maize, based on field survey data collected since 2003. This database contains information about agricultural practices, climatic conditions and FUMO concentrations at harvest for 738 maize fields distributed throughout French maize-growing regions. A linear mixed model approach highlights the presence of borers and the use of a late variety, high temperatures in July and October, and a water deficit during the maize cycle as creating conditions favoring maize contamination with Fusarium verticillioides. It is thus possible to target a combination of risk factors, consisting of this climatic sequence associated with agricultural practices of interest. The effects of the various possible agroclimatic combinations can be compared, grouped and classified as promoting very low to high FUMO concentrations, possibly exceeding the regulatory threshold. These findings should facilitate the creation of a national, informative and easy-to-use prevention tool for producers and agricultural cooperatives to manage the sanitary quality of their harvest.

scholarly journals Male and female fertility and hatchability in chickens: a longitudinal mixed model approach

2004 ◽  
Vol 83 (8) ◽  
pp. 1253-1259 ◽  
Author(s):  
R.L. Sapp ◽  
R. Rekaya ◽  
I. Misztal ◽  
T. Wing
Keyword(s):  
Mixed Model ◽  
Female Fertility ◽  
Male And Female ◽  
Mixed Model Approach ◽  
Model Approach

Effects of a dance program on psychophysiological variables in hospitalized patients with depression: A mixed model approach

2021 ◽  
pp. 101857
Author(s):  
Karen Melissa Polanco Zuleta ◽  
Marina Medina-Corrales ◽  
Franciso Javier Mendoza-Farías ◽  
Claudia Cristina Santos Lozano ◽  
José Tristán ◽  
...  
Keyword(s):  
Mixed Model ◽  
Hospitalized Patients ◽  
Mixed Model Approach ◽  
Model Approach

scholarly journals Analyzing Child Malnutrition in Bangladesh: Generalized Linear Mixed Model Approach

2016 ◽  
Vol 64 (2) ◽  
pp. 163-167
Author(s):  
Tahmidul Islam ◽  
Md Golam Rabbani ◽  
Wasimul Bari
Keyword(s):  
Mixed Model ◽  
Sampling Design ◽  
Linear Mixed Model ◽  
Generalized Linear Mixed Model ◽  
Child Malnutrition ◽  
Demographic Health Survey ◽  
Factors Affecting ◽  
Mixed Model Approach ◽  
Potential Factors ◽  
Model Approach

Child malnutrition is a serious issue for overall child health and future development. Stunting is a key anthropometric indicator of child malnutrition. Because of the nature of sampling design used in Bangladesh Demographic Health Survey, 2011, responses obtained from children under same family might be correlated. Again, children residing in same cluster may also be correlated. To tackle this problem, generalized linear mixed model (GLMM), instead of usual fixed effect logistic regression model, has been utilized in this paper to find out potential factors affecting child malnutrition. Model performances have also been compared. Dhaka Univ. J. Sci. 64(2): 163-167, 2016 (July)

Biometrics and quality of life of lymphoma patients: A longitudinal mixed‐model approach

2020 ◽  
Author(s):  
Alexandra Oliveira ◽  
Eliana Silva ◽  
Joyce Aguiar ◽  
Brígida Mónica Faria ◽  
Luís Paulo Reis ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mixed Model ◽  
Mixed Model Approach ◽  
Model Approach

scholarly journals Age-Related Changes and Sex-Related Differences in Brain Iron Metabolism

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2601
Author(s):  
Tanja Grubić Kezele ◽  
Božena Ćurko-Cofek
Keyword(s):  
Iron Metabolism ◽  
Neurological Disorders ◽  
Healthy Aging ◽  
Iron Homeostasis ◽  
Essential Element ◽  
Molecular Alterations ◽  
Age Related ◽  
Faster Development ◽  
Brain Iron Metabolism ◽  
Age Related Changes

Iron is an essential element that participates in numerous cellular processes. Any disruption of iron homeostasis leads to either iron deficiency or iron overload, which can be detrimental for humans’ health, especially in elderly. Each of these changes contributes to the faster development of many neurological disorders or stimulates progression of already present diseases. Age-related cellular and molecular alterations in iron metabolism can also lead to iron dyshomeostasis and deposition. Iron deposits can contribute to the development of inflammation, abnormal protein aggregation, and degeneration in the central nervous system (CNS), leading to the progressive decline in cognitive processes, contributing to pathophysiology of stroke and dysfunctions of body metabolism. Besides, since iron plays an important role in both neuroprotection and neurodegeneration, dietary iron homeostasis should be considered with caution. Recently, there has been increased interest in sex-related differences in iron metabolism and iron homeostasis. These differences have not yet been fully elucidated. In this review we will discuss the latest discoveries in iron metabolism, age-related changes, along with the sex differences in iron content in serum and brain, within the healthy aging population and in neurological disorders such as multiple sclerosis, Parkinson’s disease, Alzheimer’s disease, and stroke.

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