Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Showing posts with label socioeconomic status. Show all posts
Showing posts with label socioeconomic status. Show all posts

Wednesday, June 26, 2024

Mental well-being crucial for healthy aging, new study reveals

 Your mental well being is your doctors' problem to solve. And the easiest way to solve that is 100% recovery, which I'm sure your doctor will completely fail at!

Mental well-being crucial for healthy aging, new study reveals

In a recent study published in the journal Nature Human Behavior, researchers evaluated the causal effects of mental well-being on genetically independent aging phenotype (aging GIP).

Human life expectancy has increased over time; however, the aging population presents challenges to individuals and society. Mental well-being correlates with lifestyle behaviors and morbidity. Studies have linked mental well-being with physical health and increased survival. Besides, socioeconomic status (SES) is interlinked with aging and mental well-being. However, a causal relationship between healthy aging and mental well-being has yet to be established.

Study: Mendelian randomization evidence for the causal effect of mental well-being on healthy aging. Image Credit: Darren Baker / ShutterstockStudy: Mendelian randomization evidence for the causal effect of mental well-being on healthy aging. Image Credit: Darren Baker / Shutterstock

About the study

In the present study, researchers assessed the effects of mental well-being on aging phenotypes. This Mendelian randomization (MR) study evaluated the causal associations between aging phenotypes and mental well-being traits and screened candidate mediators in the relationship between aging GIP and the well-being spectrum. Besides, the team also explored whether the causal effects were SES-independent.

Summary-level genome-wide association study (GWAS) data were derived from people of European descent. Exposures included the well-being spectrum, life satisfaction, neuroticism, depressive symptoms, and positive affect. The covariates were three SES indicators – education, occupation, and income. Overall, 106 candidate mediators were identified for screening; mediators included 23 lifestyle factors, 20 physical function traits, 53 diseases, and 10 behaviors and performances.

Mediators were selected based on a set of criteria: the mediator should have a causal association with aging GIP and direct causal effect independent of the well-being spectrum; the well-being spectrum should have a causal association with the mediator (and not vice versa); the association of the mediator with aging GIP and that of well-being spectrum with mediator should be in the same direction.

Outcomes included the aging GIP and its components (self-rated health, resilience, longevity, healthspan, and parent lifespan). Linkage disequilibrium score regression was performed to examine genetic correlations between mental well-being traits, aging phenotypes, and SES indicators. Univariable MR (UVMR) analysis assessed the causal effect of mediators and mental well-being traits on aging phenotypes.

UVMR and multivariable MR (MVMR) analyses were performed to investigate the causal effects of SES indicators on mental well-being traits. MVMR analysis, adjusted for SES indicators, examined the direct impact of the well-being spectrum on aging phenotypes. A two-step MR analysis tested the mediating effect(s) between the well-being spectrum and aging GIP.

Findings

Genetic correlations were observed between all mental well-being traits and the aging GIP and its components, except for longevity. The well-being spectrum was associated with an increased aging GIP. Consistently, the well-being spectrum showed positive causal associations with resilience, healthspan, parental lifespan, and self-rated health.

Positive affect and life satisfaction were positively associated with these aging phenotypes, while depressive symptoms and neuroticism were inversely associated. SES indicators and well-being traits were also correlated. Higher-income, education, and occupation were causally associated with improved mental well-being. The well-being spectrum was independently associated with higher aging GIP, adjusted for SES indicators.

Of the 106 candidate mediators, 33 met the screening criteria and were included. Unhealthier lifestyle factors, physical functions, and behaviors, and performances were associated with lower aging GIP. Later smoking initiation age and higher cheese consumption, appendicular lean mass (ALM), cognitive performance, high-density lipoprotein cholesterol (HDL-C), and fresh fruit intake were associated with higher aging GIP.

Heart failure, hypertension, stroke, and coronary heart disease had the highest effect sizes on the aging GIP. Antihypertensive medication, smoking initiation age, and television watching time individually mediated at least 7% of the effect of the well-being spectrum on the aging GIP. Non-steroidal anti-inflammatory drugs, waist-to-hip ratio, fresh fruit intake, ALM, HDL-C, triglycerides, and age at menarche individually mediated up to 4.81% of the total effect.

Conclusions

In sum, the study illustrated the causal effects of mental well-being on aging phenotypes independent of SES. Better mental well-being was associated with improved aging GIP. The causal effect was partly explained by 33 mediators, including lifestyles, physical functions, diseases, and behaviors and performances. Overall, the results highlight the need to prioritize mental well-being for healthy aging.

Journal reference:

Tuesday, January 30, 2024

Socioeconomic status and health-related quality of life after stroke: A systematic review and meta-analysis

If you blithering idiots would just deliver 100% recovery protocols you wouldn't have to think about socioeconomic status.

 Socioeconomic status and health-related quality of life after stroke: A systematic review and meta-analysis

Health and Quality of Life Outcomes. Volume 21(115)

NARIC Accession Number: J93176. What's this?
Author(s): Sun, Yichao A., Kalpakavadi, Serah, Prior, Sarah, Thrift, Amanda G., Waddingham, Suzanne, Phan, Hoang, Gall, Seana L..
Publication Year: 2023.
Abstract: This study examined the association between socioeconomic status (SES) and health-related quality of life (HRQoL) after stroke. PubMed, SCOPUS, EMBASE, and Web of Science were searched to identify relevant cohort and case-control studies published between January 2000 and May 2022. Two authors screened titles, abstracts, and full text articles. One author extracted data from all included studies. Meta-analyses were performed for studies with comparable measurements of SES and HRQoL. Random effects models were used to estimate pooled summary standardized mean differences in HRQoL by SES. Out of 1,876 citations, 39 studies incorporated measurement of overall HRQoL following stroke and were included in the systematic review, with 17 studies included in the meta-analyses. Overall, reports including education, income, occupation, and work status effects on HRQoL after stroke were inconsistent among all 39 included studies. In the global meta-analysis of 17 studies, HRQoL among survivors of stroke was lower in the low-SES group than in the high-SES group. When using education and income indicators separately, summary effects were similar to those of the global analysis. Across all SES indicators, people with stroke who have lower SES have poorer overall HRQoL than those with higher SES. Accessibility and affordability of poststroke support services should be taken into consideration when planning and delivering services to people with low SES.
Descriptor Terms: CLIENT CHARACTERISTICS, ECONOMICS, EDUCATION, INCOME, LITERATURE REVIEWS, QUALITY OF LIFE, STROKE.


Can this document be ordered through NARIC's document delivery service*?: Request Information.
Get this Document: https://hqlo.biomedcentral.com/articles/10.1186/s12955-023-02194-y(link is external).

Citation: Sun, Yichao A., Kalpakavadi, Serah, Prior, Sarah, Thrift, Amanda G., Waddingham, Suzanne, Phan, Hoang, Gall, Seana L.. (2023.) Socioeconomic status and health-related quality of life after stroke: A systematic review and meta-analysis. Health and Quality of Life Outcomes., 21(115) Retrieved 1/30/2024, from REHABDATA database.

Thursday, May 21, 2015

Day of the week and ischemic stroke: is it Monday high or Sunday low?

Well mine was on Sunday morning but my socioeconomic status was average.
http://www.ncbi.nlm.nih.gov/pubmed/15272128

Abstract

BACKGROUND AND PURPOSE:

The study aim was to examine the incidence of ischemic stroke (IS) by day of the week and its relationship with age, sex, and socioeconomic status (SES).

METHODS:

A total of 12,801 IS events in men and women aged 25 to 99 years was recorded in a population-based stroke register (FINMONICA), which was functioning in Finland from 1982 to 1992. We analyzed the weekly variation in IS incidence by pooling the data and stratifying by sex and age. Taxable income and level of education were used as indicators of SES.

RESULTS:

We observed a significant weekly variation in IS occurrence, but the analysis by age group demonstrated a difference by weekday only in the age group 60 to 74, both in men and women (P<0.001 and P=0.02, respectively). The increase in the number of IS events from Sunday to Monday was pronounced in men (29.2% increase from Sunday to Monday). When stratifying by age, Monday excess in IS incidence was associated with lower SES among persons >59 years of age. No Monday excess was observed in persons with high SES.

CONCLUSIONS:

Because the incidence of IS is much higher in persons with low SES than in those with high SES, the Monday excess in persons with low SES is of substantial public health interest. This finding may suggest reasons for the higher IS incidence in persons with low socioeconomic positions and open up some possibilities for prevention.