Medicine,
Journal Year:
2023,
Volume and Issue:
102(46), P. e35863 - e35863
Published: Nov. 17, 2023
Patients
with
hematologic
disorders
may
experience
anxiety
and
depression
due
to
their
immunocompromised
status
potential
side
effects
of
therapies.
Healthy
lifestyle
behaviors
might
enhance
the
mental
health.
To
evaluate
association
both
separate
clustering
pattern
in
hematological
patients,
healthcare
providers
can
develop
future
initiatives
that
respond
specific
needs
this
population.
A
total
185
patients
were
enrolled
cross-sectional
study.
Linear
regression
analysis
was
performed
measure
lifestyles
depression.
Latent
class
further
conducted
identify
homogeneous
mutually
exclusive
classes,
logistic
then
used
assess
relationship
between
memberships
symptoms
The
study
found
sleep
quality
correlated
Nevertheless,
no
anxious
depressive
sitting
exercise,
dietary
habits,
toxicant
exposure,
drinking,
smoking,
either
overall
patient
population
or
classified
by
neoplasms.
Two
latent
classes
identified,
but
independent
suggested
promoting
a
viable
intervention
for
disorders.
However,
not
be
reliable
indicator
psychological
issues.
BioMedInformatics,
Journal Year:
2024,
Volume and Issue:
4(1), P. 295 - 320
Published: Jan. 26, 2024
Diffuse
large
B-cell
lymphoma
is
one
of
the
most
frequent
mature
hematological
neoplasms
and
non-Hodgkin
lymphomas.
Despite
advances
in
diagnosis
treatment,
clinical
evolution
unfavorable
a
subset
patients.
Using
molecular
techniques,
several
pathogenic
models
have
been
proposed,
including
cell-of-origin
classification;
Hans’
classification
derivates;
Schmitz,
Chapuy,
Lacy,
Reddy,
Sha
models.
This
study
introduced
different
machine
learning
techniques
their
classification.
Later,
artificial
neural
networks
were
used
to
predict
DLBCL
subtypes
with
high
accuracy
(100–95%),
Germinal
center
like
(GCB),
Activated
(ABC),
Molecular
high-grade
(MHG),
Unclassified
(UNC),
context
data
released
by
REMoDL-B
trial.
In
order
(MHG
vs.
others),
XGBoost
tree
(100%);
random
trees
(99.9%);
forest
(99.5%);
C5,
Bayesian
network,
SVM,
logistic
regression,
KNN
algorithm,
networks,
LSVM,
discriminant
analysis,
CHAID,
C&R
tree,
tree-AS,
Quest,
linear
(99.4–91.1%).
The
inputs
(predictors)
all
genes
array
set
28
related
DLBCL-Burkitt
differential
expression.
summary,
intelligence
(AI)
useful
tool
for
predictive
analytics
using
gene
expression
data.
JMIR Research Protocols,
Journal Year:
2025,
Volume and Issue:
14, P. e65576 - e65576
Published: March 14, 2025
Background
The
Global
Burden
of
Diseases,
Injuries,
and
Risk
Factors
Study
(GBD)
collects
calculates
risk-outcome
data
for
modifiable
lifestyle
exposures
(eg,
dietary
intake)
physical
health
outcomes
cancers).
These
estimates
form
a
critical
digital
resource
tool,
the
GBD
VizHub
visualization
governments
policy
makers
to
guide
local,
regional,
global
decisions.
Despite
evidence
showing
contributions
common
mental
disorders
(CMDs),
such
as
depression
anxiety,
does
not
currently
generate
these
exposure-mental
disorder
outcome
pairings.
This
gap
is
due
lack
uniformly
collected
analyzed
about
they
relate
CMDs.
Such
are
required
quantify
whether,
what
degree,
burden
CMDs
could
be
reduced
by
targeting
factors
at
regional
levels.
We
have
established
disease
Lifestyle
And
Disorder
(GLAD)
Taskforce
address
this
gap.
Objective
study
aims
necessary
afford
inclusion
risk
in
tools,
initially
focusing
on
relationship
between
intake
Methods
GLAD
project
multicenter,
collaborative
effort
integrate
study.
To
achieve
aim,
epidemiological
studies
will
recruited
conduct
harmonized
analyses
estimating
risk,
odds,
or
hazards
with
CMD
outcomes.
Initially,
models
focus
intake,
defined
GBD,
anxiety
depression.
Results
As
August
2024,
18
longitudinal
cohort
from
9
countries
(Australia:
n=4;
Brazil:
n=1;
France:
Italy:
n=3;
Netherlands:
New
Zealand:
South
Africa:
Spain:
United
Kingdom:
n=3)
agreed
participate
project.
Conclusions
Our
comprehensive,
approach
allows
concurrent
execution
statistical
analysis
protocol
across
multiple,
internationally
renowned
cohorts.
results
used
inform
incorporate
platform.
Consequently,
given
worldwide
influence
study,
findings
can
offer
valuable
insights
around
lifestyle-based
care.
International
Registered
Report
Identifier
(IRRID)
DERR1-10.2196/65576
The British Journal of Psychiatry,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 10
Published: March 19, 2025
Background
To
develop
effective
mental
health
interventions
for
children
and
adolescents,
it
is
essential
to
understand
the
intricate
link
between
functional
disability
well-being
in
this
group.
Aims
explore
network
connections
various
aspects
of
young
people
with
disabilities.
Method
We
analysed
data
from
Multiple
Indicator
Cluster
Surveys
47
low-
middle-income
countries,
tracking
progress
towards
health-related
sustainable
development
goals.
Our
focus
was
on
adolescents
aged
5–17
Mental
gauged
using
carer-reported
signs
depression,
anxiety
Child
Functioning
Module.
Network-analysis
techniques
were
used
examine
links
domains.
Results
The
study
included
32
669
eligible
disabilities
(14
826
females
17
843
males).
core
domains
strongest
poor
difficulties
accepting
change,
making
friends,
behavioural
control
(controlling
own
behaviour)
remembering/concentrating.
These
associations
remained
largely
consistent
across
different
genders
developmental
stages.
However,
there
notable
gender
differences
age-related
shifts
relationships
specific
well-being.
In
particular,
males
depression
most
associated
overall,
while
had
closest
adolescents.
Conclusions
perspective
may
enable
design
tailored
support
services
that
consider
age
differences.
Further
research
should
continue
these
complex
relationships,
incorporating
novel
methodologies
like
network-analysis
enhance
understanding
associations.
American Journal of Health Promotion,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 18, 2025
Purpose
This
study
aimed
to
examine
the
relationship
between
distinct
adolescent
social
connectedness
profiles
and
psychological
distress
in
a
summer
care
program.
Design
A
longitudinal
design
was
employed
capture
changes
over
10
weeks
summer.
Setting
The
conducted
community-based
program
which
provided
weekday
10-week
period.
Sample
sample
consisted
of
47
adolescents
aged
10-14
years
attending
Measures
Social
assessed
using
adult
peer
subscales
Hemingway
Measure
Adolescent
Connectedness,
while
measured
Kessler
Psychological
Distress
Scale
(K10).
Analysis
Two-step
cluster
analysis
used
identify
profiles,
generalized
estimating
equations
(GEE)
examined
patterns
time,
controlling
for
age
sex.
Results
Two
emerged
from
analysis:
“baseline
bonders”
(n
=
21)
with
moderate-low
scores,
“strong
socializers”
26)
high
particularly
adults.
GEE
revealed
significant
time-by-profile
interaction
(β
−4.42,
P
.017).
Baseline
bonders
showed
improvement
(initial
M
22.46,
final
19.20),
strong
socializers
remained
stable
17.38,
18.54).
Conclusion
Distinct
were
associated
differential
effects
on
distress.
Findings
suggest
need
better
understand
trajectories
across
programing.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 6, 2024
AbstractBackground
The
Global
Burden
of
Diseases,
Injuries,
and
Risk
Factors
Study
(GBD)
provides
critical
evidence
that
guides
local,
regional,
global
public
health
decisions.
A
key
feature
the
GBD
is
collection
calculation
risk-outcome
data
for
modifiable
lifestyle
exposures
(e.g.
dietary
intake)
physical
outcomes
cancers).
Despite
showing
contributions
these
same
to
common
mental
disorders
(CMDs),
such
as
depression
anxiety,
does
not
currently
generate
exposure-CMD
outcome
pairings.
This
gap
due
a
lack
uniformly
collected
analysed
about
they
relate
CMDs.
Such
are
required
quantify
whether,
what
degree,
burden
CMDs
could
be
reduced
by
targeting
factors
at
regional
levels.
We
have
established
disease
Lifestyle
And
Disorder
(GLAD)
Taskforce
address
this
gap.
Our
primary
aim
necessary
estimates
afford
inclusion
risk
in
future
studies,
initially
focusing
on
relationship
between
intake
CMDs.Methods
GLAD
Project
multi-centre,
collaborative
effort
integrate
study.
To
achieve
aim,
epidemiological
studies
will
recruited
conduct
harmonised
analyses
estimating
risk,
odds
or
hazards
with
CMD
outcomes.
Initially,
models
focus
intake,
defined
anxiety
depression.
Results
from
individual
member
then
meta-analysed
used
inform
study.Discussion
comprehensive,
approach
allows
concurrent
execution
harmonized
statistical
analysis
protocol
across
multiple,
internationally-renowned
epidemiolgical
cohorts.
Consequently,
given
worldwide
influence
study,
findings
can
offer
valuable
insights
policymakers
around
globe
lifestyle-based
care.Registraton
following
methods
been
prospectively
registered
Open
Science
Framework
(https://doi.org/10.17605/OSF.IO/ZBG6X)
BMC Public Health,
Journal Year:
2024,
Volume and Issue:
24(1)
Published: July 3, 2024
Abstract
Background
Childhood
family
structure
is
considered
to
play
a
role
in
person’s
health
and
welfare.
This
study
investigated
the
relationships
between
longitudinal
changes
of
adult
behaviours
childhood
structure.
Methods
From
Northern
Finland
Birth
Cohort
1966
questionnaires,
we
collected
data
on
at
age
14
(‘two-parent
family’,
‘one
parent
not
living
home/no
information
father’,
‘father
or
mother
deceased’),
(smoking,
alcohol
consumption
physical
activity
status)
ages
31
46.
We
used
multinomial
logistic
regression
model
estimate
unadjusted
adjusted
associations
structures
46
years
(four-category
variables).
Results
Of
sample
(
n
=
5431;
55.5%
females),
7.1%
offspring
were
represented
‘One
father’
subgroup,
6.3%
‘Father
deceased’
subgroup
86.6%
‘Two-parent
family’.
approximately
twice
as
likely
smoke
(adjusted
OR
2.19,
95%
CI
1.70–2.81)
heavily
consume
1.99,
1.25–3.16)
both
times
adulthood,
relative
smoking
alcohol,
compared
with
‘two-parent
family’
offspring.
found
no
statistically
significant
status
adulthood.
Conclusions
Our
findings
suggest
that
single-parent
families
particular
should
be
supported
early
life
diminish
their
risk
unhealthy
