Impact of social support on mental health

Impact of social support on mental health

1. STUDENT NAME: UROOJ MALIK
STUDENT ID: Bc190412057
SESSION: Spring 2019
Submitted to: Sir Ans Waseem

2. Impact of Social Support on Mental
Health.

3. INTRODUCTION
In this section, we present a comprehensive introduction to the research
topic, emphasizing the background, impact, and implication of social
support on mental health. Current facts and figures will be
incorporated, and the work done on the subject will be discussed,
providing necessary information for a better understanding of the
research context. Social support plays a crucial role in individuals'
mental health and well-being. It encompasses various forms of
assistance, encouragement, and companionship that individuals receive
from their social networks, including friends, family, and community.
The quality and availability of social support have been linked to
various mental health outcomes, including reduced stress, anxiety, and
depression. Understanding the dynamics of social support and its
impact on mental health is essential for developing effective
interventions and support systems. This research aims to impact the
multifaceted relationship between social support and mental health,
shedding light on the mechanisms through which social connections
contribute to psychological well-being.

4. Significance of the Project
Role of social support networks can positively influence
mental well-being

5. Research Objectives
1 To investigate the relationship between different dimensions
of social support and mental health.
2 To explore the influence of cultural factors on the
perception and utilization of social support in promoting
mental well-being.

6. Research Hypotheses


HI. There is likely to be a positive relationship between the
availability of social support and positive mental health
outcomes.
HII. The type and source of social support will influence its
effectiveness in promoting mental well-being.
HIII. Cultural factors play a significant role in shaping the
perception and utilization of social support in diverse
populations.

7. Research Methodology
Nature of Research:
This study adopts a mixed-methods approach, combining quantitative surveys to assess
social support and mental health measures, with qualitative interviews to explore
individuals' experiences in depth.
Research Design:
The research design follows a cross-sectional design, examining participants' social support
and mental health at a single point in time. Data will be collected using validated
questionnaires and structured interviews
Sampling Strategy:
A convenience sampling strategy will be used, recruiting participants from community
organizations, mental health clinics, and online platforms. The aim is to include a
diverse range of individuals experiencing varying levels of mental distress.
Sample:
Approximately 100 participants will be included in the study. Participants aged 18-40
diverse in terms of gender, ethnicity, and socioeconomic background. Participants must
have experienced 50 males and 50 females

8. Research Methodology
Assessment Measure(s):
Multidimensional Scale of Perceived Social Support (MSPSS) The MSPSS, developed by Zimet
et al. (1988), is a widely used instrument for assessing perceived social support. It consists
of 12 items, with four items each measuring perceived support from family, friends, and
significant others. Participants rate their agreement with each statement on a 7-point Likert
scale, ranging from "very strongly disagree" to "very strongly agree." The scale has
demonstrated good reliability and validity across diverse populations, making it suitable for
assessing perceived social support in this study.
(Mental Health Inventory - MHI-38) The MHI-38, developed by Veit and Ware (1983), is a
self-report questionnaire designed to assess mental health across various dimensions. It
comprises 38 items covering psychological well-being, anxiety, depression, and general
functioning. Participants rate their agreement with each statement on a 6-point Likert scale,
with higher scores indicating better mental health. The MHI-38 has demonstrated good
reliability and validity in previous research, making it a suitable instrument for assessing
mental health outcomes in this study.

9. Procedure
Assessment Measures
The study will use the Multidimensional Scale of
Perceived Social Support (MSPSS) and the General
Health Questionnaire (GHQ) to assess social support
and mental health, respectively
Procedure
Data will be collected through online surveys, followed
by semi-structured interviews with a subset of
participants selected through purposive sampling.

10. Data Processing & Analyses
Co-relational study will be used to investigate the exploring
the role of social support at mental health.
. This method aligns with the measurement level of the data
and statistical assumptions, enabling a thorough examination
of the relationships posited in the hypotheses. Specifically,
multivariate regression analysis will be employed to
investigate the predictive the exploring the role of social
support ot mental health. considering potential covariates and
offering a nuanced understanding of the intricate dynamics
between these variables.

11. RESULTS
The positive correlation coefficient (0.314) suggests a moderate positive
relationshipbetween "Sum_of_MSPSS" and "Sum_of_MHI_38." This means that
as the values of one variable increase, the values of the other variable also
tend to increase, and vice versa.
The significance level of 0.002 indicates that the observed correlation is
statistically significant at the 0.01 level (2-tailed), suggesting that the
correlation is unlikely to have occurred by chance.
Cronbach's Alpha is a measure of the extent to which the items in the scale
(in this case, the MSPSS) are correlated with each other. A higher value of
Cronbach's Alpha indicates greater internal consistency among the items.
The obtained Cronbach's Alpha of 0.718 suggests a moderate level of
internal consistency among the items. Generally, a value above 0.70 is
considered acceptable for research purposes, indicating a reliable scale.
The t-test results suggest that there is no statistically significant difference
between males and females in terms of "Sum_of_MSPSS" scores, regardless
of assumptions about equal variances.
For "Sum_of_MHI_38," there is a borderline significance (0.083 when equal
variances are assumed and 0.074 when not assumed), indicating a
potential difference between males and females on this variable.

12. Tables & Interpretation
frequency table:
Variables
Demographic
Characteristics
f (%)
M(SD)
Variables
Age 18-25years
26-35years
36-40years
69(69.7%)
 
26(26.3%)
 
4(4.0%)
 
5.454
Gender Female

Male
42(42.4%)
57(57.6%)
The age distribution shows that a significant proportion of the respondents are relatively
young, with the highest percentage falling within the 18-25 age range. This information can
be useful for understanding the age demographics of the surveyed population.
In terms of gender, the data indicates a slight male majority. This information is valuable for
any analysis or interpretation that may be gender-dependent

13. CORRELATION
 The positive correlation coefficient (0.314) suggests a moderate positive relationshipbetween "Sum_of_MSPSS" and
"Sum_of_MHI_38." This means that as the values of one variable increase, the values of the other variable also tend to
increase, and vice versa.
The significance level of 0.002 indicates that the observed correlation is statistically significant at the 0.01 level (2-
tailed), suggesting that the correlation is unlikely to have occurred by chance.

N MEAN STD.DEVIATION
MSPSS 99 44.96 5.829
MHI 99 132.71 17.076

14. Reliability
Cronbach's Alpha is a measure of the extent to which the items in the scale (in this case, the MSPSS) are correlated with each other. A higher value of
Cronbach's Alpha indicates greater internal consistency among the items.
The obtained Cronbach's Alpha of 0.718 suggests a moderate level of internal consistency among the items. Generally, a value above 0.70 is considered
acceptable for research purposes, indicating a reliable scale.

Scales K α
MSPSS 12 .718
MHI 38 .889

15. T test
T-test
The t-test results suggest that there is no statistically significant
difference between males and females in terms of "Sum_of_MSPSS"
scores, regardless of assumptions about equal variances.
For "Sum_of_MHI_38," there is a borderline significance (0.083 when
equal variances are assumed and 0.074 when not assumed),
indicating a potential difference between males and females on this
variable.
VARIABLES M(SD) M(SD) T P LL UL M(SD)
MSPSS44.60(45.45)
5.454
(6.337)
-.720 .473 -.545 .253 MSPSS
MHI
135.26(45.4
5)
18.126(15.
059)
1.753 .083 -.046 .757 MHI

16. Summary of Main Findings
A person's mental health can be significantly impacted by social
support in a variety of ways. It fills in as a vital asset that adds to
close to home, mental, and pragmatic help during testing times.
The presence of a strong informal organization has been connected
to decreased feelings of anxiety, expanded strength, and a more
prominent feeling of having a place. Also, offering encounters and
sentiments to others can give approval and figuring out, advancing
by and large mental prosperity. The close to home and
instrumental guide got from social associations can assume a
crucial part in buffering against the adverse consequences of stress
and adding to a better mental state for people.
The purpose of this study was to investigate and comprehend how
interpersonal connections and assistance contribute to overall
psychological well-being, as well as the impact of social support
on mental health.

17. 1.Strengths & Limitations
Difficulty in reaching or engaging specific individuals or groups relevant to
the study.
The sample may not fully represent the population of interest, potentially
affecting the generalizability of findings.
Challenges in obtaining the necessary data or information for the research.
Incomplete or limited data may restrict the depth and comprehensiveness
of the study.
Limitation: Constraints on the available time for conducting the research.
Limited time may affect the thoroughness of data collection, analysis, and
the overall depth of the study.
Some participants may be unwilling or hesitant to disclose
personal information.
Insufficient funds for necessary research activities, such as surveys,
interviews, or data analysis.
Delimitations in the scope of the research, such as focusing on a specific
demographic or geographic area.
Unforeseen challenges or constraints that may arise during the
research process.
Mitigating these limitations may involve careful planning, alternative
strategies, or acknowledging potential biases in the interpretation of results.
Researchers often discuss these limitations transparently in their studies to
provide context for their findings and guide future research efforts.

18. Suggestions
Implications and suggestions arising from
research on the role of social support in
mental health can contribute to both
academic understanding and practical
applications.
the implications can enhance the
effectiveness of interventions and policies
aimed at leveraging social support for better
mental health outcomes.

19. References
Reference of article as per APA Zimet, G. D., Dahlem, N. W., Zimet, S. G., &
Farley, G. K. (1988).The Multidimensional Scale of Perceived Social Support.
Journal of Personality Assessment, 52(1), 30–41.

https://doi.org/10.1207/s15327752jpa5201_2 Veit, C. T., & Ware, J. E. (1983). The
structure of psychological distress and well-being in general populations.
Journal of Consulting and Clinical Psychology, 51(5), 730–742.
Beukel T. O., Siegert C. E., Dijk S., Ter Wee P. M., Dekker F. W., Honig A. (2012).
Comparison of the SF-36 Five-Item Mental Health Inventory and Beck
Depression Inventory for the screening of depressive symptoms in chronic
dialysis patients. Nephrology Dialysis Transplantation, 27, 4453–4457.
Borus J. F., Howes M. J., Devins N. P., Rosenberg R., Livingston W. W. (1988).
Primary health care providers' recognition and diagnosis of mental disorders in
their patients. General Hospital Psychiatry, 10, 317–321.

20. Thank You!