Loneliness, Depression, and Genetics in the Elderly: Prognostic Factors of a Worse Health Condition?

Influence of subclinical hypothyroidism and brain-derived neurotropic factor on telomere length dynamics in type 1 diabetic pregnancies and their newborns

Thyroid dysfunctions are common in type 1 diabetes mellitus (T1DM) pregnancies, impacting embryogenesis and fetal neurodevelopment. This study investigates the effects of subclinical hypothyroidism and BDNF (Brain-derived neurotrophic factor) telomere length in T1DM mothers and their newborns. In a recent study, researchers found an inverse relationship between TSH (thyroid-stimulating hormone) levels and telomere length in the cord blood of newborns. This was prospective cohort analysis of 70 mothers and their newborns with T1DM. The study measured leukocyte telomere length (LTL) in maternal and neonatal samples. Subclinical hypothyroidism during the first trimester was characterized by TSH levels ranging from 2.5 to 5.0 mIU/L alongside normal free thyroxine (FT4) concentrations. In this study, we proved that maternal telomere length predicts telomere length in the newborn. Furthermore, we investigated the influence of maternal hypothyroidism on telomere length in the newborn. Maternal hypothyroidism in the first trimester of pregnancy has a strong influence on the shortening of newborn telomeres. BDNF has a positive effect on maternal and newborn telomere length. These results can have an important impact on the subsequent development of a child born to a diabetic mother. Health and disease associated with telomere length later in life may be programmed at birth.

How does loneliness "get under the skin" to become biologically embedded?

Loneliness is linked to declining physical health across cardiovascular, inflammatory, metabolic, and cognitive domains. As a result, loneliness is increasingly being recognized as a public health threat, though the mechanisms that have been studied do not yet explain all loneliness-related health risk. Potential mechanisms include loneliness having 1.) direct, causal impacts on health, possibly maintained by epigenetic modification, 2.) indirect effects mediated through health-limiting behaviors, and 3.) artifactual associations perhaps related to genetic overlap and reverse causation. In this scoping review, we examine the evidence surrounding each of these pathways, with a particular emphasis on emerging research on epigenetic effects, in order to evaluate how loneliness becomes biologically embedded. We conclude that there are significant gaps in our knowledge of how psychosocial stress may lead to physiological changes, so more work is needed to understand if, how, and when loneliness has a direct influence on health. Hypothalamic-pituitary adrenocortical axis disruptions that lead to changes in gene expression through methylation and the activity of transcription factor proteins are one promising area of research but are confounded by a number of unmeasured factors. Therefore, wok is needed using causally informative designs, such as twin and family studies and intensively longitudinal diary studies.

Impact of Family Function on the Quality of Life and Health Perception of Non-Institutionalized Dementia Patients

BACKGROUND

Dementia is one of the pathologies that has increased the most among the older population (mainly Alzheimer's disease), and it has a direct impact on the quality of life (QoL), cognitive performance, and health of these patients. Family functionality can play a role in this QoL if these patients are not institutionalized.

OBJECTIVE

To analyze the role of family function in the QoL and health perception of non-institutionalized dementia patients, as well as related variables such as anxiety, depression, optimism, or pessimism.

METHODS

Cross-sectional study with a sample of 54 patients diagnosed with some type of dementia, non-institutionalized, or in outpatient care, from different centers in the province of Valencia (Spain). The EQ-5D, MMSE, Apgar Family or general health, and Goldberg anxiety and depression questionnaires were utilized.

RESULTS

The correlation of the Apgar Family with the General Health Questionnaire-new onset problems variable (GHQ) and Chronicity and General Health Questionnaire-chronic problems (CGHQ) of the Goldberg Quality of Life questionnaire was statistically significant and negative (GHQ r = -0.310; p = 0.034. CGHQ r = -0.363; p = 0.012); as well as between Apgar Family and Anxiety-Depression (r = -0.341; p = 0.020). The correlation of the Apgar Family with the Life Orientation Test-Pessimism variable (LOT) was statistically significant and negative (r = -0.270; p = 0.061). Finally, severe dysfunction of Apgar Family has a negative correlation with self-perception of health (p = 0.036 B = -16.589) determined by the Visual Analogue Scale (VAS).

CONCLUSION

Family functionality directly influences anxiety, depression, optimism, and pessimism. This could explain why family function is related to the QoL of patients and their self-perception of health.

Mortality was predicted by depression and functional dependence in a cohort of elderly adults of Italian descent from southern Brazil

The older population has an increasing burden of non-communicable disease, which can potentially be associated with physical and mental disabilities and shorten life spam. To investigate whether depression, loss of functionality for activities of daily living, and lower social support are associated with all-cause mortality in the older population of Italian descent. This population-based cohort study was conducted in Veranópolis, a country city from southern Brazil, among individuals aged 60 years or older. Interviews were performed in a systematic random sampling regarding demographic, socioeconomic, and psychosocial variables, in addition to depression (Geriatric Depression Scale), activities of daily living (Barthel Index), and social support (Medical Outcomes Study scale). In the follow-up, participants were reinterviewed or, in case of death, the next of kin, and hospital records were revised. Hierarchical analysis was used to determine characteristics independently associated with all-cause mortality, using Poisson regression with robust variance, expressed as relative risk with 95% confidence intervals (RR; 95%CI). A total of 997 participants were enrolled and 882 participants completed the study, after 7.24 ± 2.41 years; with 581 remaining alive. The mean age was 73.12 ± 8.03 years, 4% were nonagenarians or centennials, and 62% were women. Symptoms of depression (RR: 1.04; 1.01-1.06) and functional dependence for ADL (RR: 1.00; 0.99-1.00) were associated with all-cause mortality, even after controlling for confounding factors. Lower social support was not associated with mortality (RR: 1.00; 0.99-1.01). Depression and functional dependence are independent predictors of all-cause mortality in the older population from Italian descent.