Ijsrp p11062 (manuscript)

International Journal of Scientific and Research Publications, Volume 11, Issue 2, February 2021 505
ISSN 2250-3153
This publication is licensed under Creative Commons Attribution CC BY.
http://dx.doi.org/10.29322/IJSRP.11.02.2021.p11062 www.ijsrp.org
Higher Life Expectancy for Diabetes Patients with
Facebook Awareness
H. K. Salinda Premadasa
Centre for Computer Studies, Sabaragamuwa University of Sri Lanka
DOI: 10.29322/IJSRP.11.02.2021.p11062
http://dx.doi.org/10.29322/IJSRP.11.02.2021.p11062
Abstract- Diabetes is a fatal chronic disease that grounds for many side effects, deaths, and low quality of life for millions of adults in
the present globe. Continuing care and awareness of the disease helps to maintain reasonable control over the condition and prevent
complications. The patient often receives such attention only at a medical clinic or doctor's visits. Hence, it is essential to identify
alternatives for people aware of diabetes. Here we use Facebook as a popular social network site to create a better quality of life for
diabetes awareness patients. The study was carried out on a Facebook group on 565 diabetes patients who registered in Embilipitya base
hospital non-communicable disease clinic and 100 patients were selected randomly for the analysis. The majority of the patients' age
between 35 years and 45 years. Patients were divided into two groups randomly (50 per each); control and normal, and data were
gathered. The independent t-test was used to test for differences between two groups, and a paired sample t-test was used to confirm the
difference. Results revealed the positive impact of the Facebook health awareness program on controlling LDL cholesterol, fasting blood
sugar, and body weight. Also, the factors have a strong relationship with the Facebook awareness program. However, there is no impact
on blood pressure (systolic and diastolic) from the program. The awareness program and the number of referring times of Facebook
impact significantly controlling fasting blood sugar levels, body weight, and LDL cholesterol levels. This would be better to explain to
improve the quality of life of diabetes patients. Future research directions need to explore why social network awareness program does
not affect the control of high blood pressure, which is another important factor in maintaining a higher life expectancy for diabetic
patients.
Index Terms- Chronic disease, Diabetes patients, Facebook awareness, Quality of Life
I. INTRODUCTION
eople are eager for seeking health-related information using different types of social networks especially Facebook (FB). Looking
for instructions or assistance on a variety of illnesses from health professionals, connecting people with similar experiences, being
aware of treatment-related issues, or understanding the physician diagnosis are foremost activities obtained via social networks
[1]. Devastating admiration of Facebook as a social network site is rapidly growing along with over 2.7 billion monthly active users in
the present globe and many health professionals and patients are among these users [2]. Many physicians have now started significantly
to embrace most of the social networks, either formally or informally in recent years for professional or personal purposes such as health
education and knowledge sharing, communicating with patients, or tracking the progress of patients [3, 4]. Diabetes is a devastating
chronic disease that requires constant medical attention and continuous awareness of the patient to reduce the risk of long-term disability
and prevent complications [5]. Furthermore, there is a significant correlation between cholesterol levels and blood pressure values in
patients with type 2 diabetes, and it has been found that elevated LDL-cholesterol levels in these patients are associated with an increased
risk of cardiovascular disease [6]. Factors such as diabetes mellitus (DM), high blood pressure, and left vertebral hypertrophy, which
contributes to the development of high risk of cardiovascular disease, have been shown to change linearly with obesity and Body Mass
Index (BMI) increases [7]. However, the worst-case scenario is more than half of people with diabetes are not diagnosed [8].
Petrovski et al. described that social media, such as Facebook, can be used as a tool to help insulin pump therapy, a standard medical
treatment method, to manage glucose in adolescents with type 1 diabetes successfully [9]. According to Shaya et al., social networks'
involvement has enabled patients to lower Glycated Hemoglobin (HbA1c) and fasting blood glucose levels by improving and integrating
their existing interpersonal networks [10]. Diabetes patients and those passionate about their patients' care and well-being can exchange
health information related to people with diabetes through social networking sites to gain better knowledge, support, and connection.
Although many people use Facebook to exchange health information, little is known about the authenticity and importance of the
information exchanged and the potential health consequences for Arabic-speaking patients and their relatives [4]. Recent research claims
that social networking sites serve as a way of thinking about positive change. But this can be a strength and a weakness when trying to
make a difference through integrated interventions in a situation where social networks users' expectations are very unfair or inconsistent.
However, such initiatives may have intangible benefits that are difficult to quantify in terms of cost-effectiveness. [11].
P

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Thus, providing more accurate and scientific health information through Facebook is vital to gaining better knowledge, support, and
connectivity for diabetes patients. It can also help to build trust with diabetics and their loved ones. Accordingly, this research study
attempts to ascertain how people with diabetes can achieve a higher life expectancy by controlling their blood sugar and cholesterol
levels, high blood pressure, and BMI.
II. METHOD
A quantitative analyzing method was undertaken to assess Facebook's efficiency (FB) posts that can be used to increase the health level
of diabetes patients in publicly available FB discussion groups. The research was undertaken between 1st
June 2019 and 31st
May 2020
and carried out on the Facebook group on diabetes patients registered on EMBILIPITYA base hospital non-communicable disease clinic.
The 565 diabetes patients were registered, and 100 patients were selected randomly for the analysis of that clinic; and in most of the
patients between 35 and 45 age. Patients were divided into two groups randomly (50 per each); control and normal. Data were collected
under the following variables for the two separate groups (control and normal) before posting FB awareness messages to obtain the pre-
survey analysis.
1. Low Density Lipoprotein (LDL) amount - mg/dl
2. Fasting Blood Sugar (FBS) amount - mg/dl
3. Blood pressure (Systolic/Diastolic)
4. Bodyweight
The awareness program through Facebook was conducted within eight months. The frequency of referencing the Facebook comments
by each patient was counted using a cookie file. At the end of eight months, data were collected again from all patients under the above
variables to obtain the post-survey analysis.
III. ANALYSIS
Preliminary analysis was obtained for both groups to get the idea about the difference (pre-survey mean – post-survey mean) comparing
the control group and the normal group. The data set was tested using the Anderson Darling Normality test and the p-value is less than
0.005. This emphasizes that the data set is normally distributed. Hence, the parametric test can be applied to the data set. Further, the
Independent t-test was applied (Control vs Normal groups) to evaluate the impact of awareness program for controlling LDL, FBS
amount, BP (Systolic), BP (Diastolic), and body weight. A Paired t-test was conducted (for the Control group) to evaluate the
significance of results given by the independent t-test. Also, the Pearson correlation coefficient was calculated between the number of
times a Facebook health awareness page is used, and the positive difference between pre and post-survey results of the control group to
fit the impact model. Finally, the relationship between number of referring times of the Facebook health awareness program by patients
and the controlling amount of parameters is shown with a regression model.
IV. RESULTS AND DISCUSSION
The authenticity and responsibility of health information are essential when transmitting people with diabetes through Facebook.
Accordingly, Table 1 shows the exact values for each factor presented by the World Health Organization [12].
Table 01
Recommendation for metabolic and non-metabolic targets
Good Borderline Poor
Total Cholesterol (mg/dL) <200 200 – 250 >250
Triglycerides (mg/dL) <150 150 – 200 >200
HDL Cholesterol (mg/dL)
Male >45 35 – 45 <35
Female >55 45 – 55 <45
LDL Cholesterol (mg/dL) <100 100 – 130 >130
Body Mass Index (kg/m2
)
Male <25.0 25.0 – 27.0 >27.0
Female <24.0 24.0 – 26.0 >26.0
Blood Pressure (mm/Hg)
Systolic <120 -- --
Diastolic <80 -- --

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Fasting Blood Sugar
Pre-meal glucose (mg/dL) <100 80 – 120 <80 or >140
Bedtime glucose (mg/dL) <110 100 – 140 <100 or >160
HbA1c (%) <6 <7 >8
Source: Guidelines for the prevention, management, and care of diabetes mellitus – WHO, 2006
Based on those clinical values presented by the World Health Organization and following guidelines set by the American Diabetes
Association [13], health information was created to communicate to patients in this study. Here are some of the health information that
was created and sent for diabetes patients.
“You can live a healthier life by reducing starchy and fatty foods as much as possible and eating vegetables,
herbs, and half-ripe fruits. Ask your doctor about the amount and timing of meals”
“Exercising at least 30 minutes a day can lead to a healthier lifestyle”
“Reducing alcohol use and avoiding smoking keeps you healthy and protects you from heart disease”
“Controlling your weight gain as much as possible and maintaining a weight appropriate for your height can
protect you from high blood pressure. It can help you get rid of heart diseases”
“Get clinical records of your blood sugar and cholesterol levels, blood pressure, and weight at least every two
months. It helps to maintain your health and get the right medicine with the appropriate dosage”
“Ask your family doctor about the correct diet patterns and exercise routines. If your well-being accordingly,
you will be able to live a long and healthy life.”
Out of the 100 patients who participated in the study, 50 patients placed under the control group were included in the Facebook health
awareness program. They were encouraged to use the health information communicated through Facebook and to follow the instructions
contained therein. Mean under LDL, Fasting Blood Sugar amount, BP (Systolic), BP (Diastolic), and body weight variables were
calculated for the data according to both groups using post and pre-survey separately. Mean differences between post and pre-survey
were calculated (difference = pre-survey mean – post-survey mean). Table 2 illustrated the means and differences made at the end of
the survey.
Table 02
Mean differences
Group
Control Normal
Pre Post Difference Pre Post Difference
LDL
156.86
(mg/dL)
150.04
(mg/dL)
6.82
(mg/dL)
155.48
(mg/dL)
155.02
(mg/dL)
0.46
(mg/dL)
Fasting Blood
Sugar
102.20
(mg/dL)
94.98
(mg/dL)
7.22
(mg/dL)
96.02
(mg/dL)
99.32
(mg/dL)
-3.3
(mg/dL)
BP (Systolic)
114.76
(mm/Hg)
117.56
(mm/Hg)
-2.8
(mm/Hg)
115.80
(mm/Hg)
118.52
(mm/Hg)
-2.72
(mm/Hg)
BP (Diastolic)
80.38
(mm/Hg)
79.80
(mm/Hg)
0.58
(mm/Hg)
80.20
(mm/Hg)
80.16
(mm/Hg)
0.04
(mm/Hg)
Body Weight 87.34 (kg) 74.74 (kg) 12.6 (kg) 90.42 (kg) 92.94 (kg) -2.52 (kg)
The mean difference between post and pre-survey under the control group is significantly higher than the normal group for LDL amount,
Fasting Blood Sugar amount (FBS), and body weight. The results revealed an impact on controlling LDL amount FBS amount with the
Facebook health awareness program. Further, the result confirms that Facebook has impacted controlling body weight with its health

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awareness program. However, these results show that Facebook's health awareness program has not affect Blood Pressure (Systolic or
Diastolic) control.
The analysis was carried out in advance with the Anderson Darling Normality test, and the results show that the p-value is less than
0.05. This means the data set behaves in the normal distribution. Hence, the parametric tests such as independent t-test, paired t-test, and
regression analysis can be applied for further evaluation.
The two-sample independent t-test was applied to the difference to test the positive impact of the Facebook awareness program by
comparing control and normal groups. Also, the test was conducted under a 0.05 significant level defining the following hypothesis.
𝐻0 ∶ 𝜇𝐶𝑜𝑛𝑡𝑟𝑜𝑙 = 𝜇𝑁𝑜𝑟𝑚𝑎𝑙 VS 𝐻1 ∶ 𝜇𝐶𝑜𝑛𝑡𝑟𝑜𝑙 > 𝜇𝑁𝑜𝑟𝑚𝑎𝑙
Table 03
Two-sample independent t-test results
Group N Mean
St-
Dev
SE-
Mean
Estimate
for
difference
95% lower
bound for
difference
t-value p-value
LDL
Control 50 6.82 1.92 0.27
11.3600 5.9045 3.49 0.001
Normal 50 -4.50 22.9 3.20
FBS
Control 50 7.22 2.06 0.29
10.5200 9.9351 29.91 0.000
Normal 50 -3.30 1.39 0.20
BP (S)
Control 50 -2.80 10.1 1.40
-0.080000 -3.398052 -0.04 0.516
Normal 50 -2.72 9.89 1.40
BP (D)
Control 50 0.58 3.93 0.56
0.540000 -0.802102 0.67 0.253
Normal 50 0.04 4.15 0.59
Weight
Control 50 12.60 1.70 0.24
15.1200 14.5953 47.86 0.000
Normal 50 -2.52 1.45 0.20
The results given in Table 3 revealed that the Facebook awareness program positively impacted (p-value < 0.05, H0 is rejected, Mean
of the control group is greater than normal group) controlling LDL amount, FBS amount, and body weight. However, the Facebook
awareness program has no impact (p-value > 0.05, H0 is accepted, both groups of Mean values are equal) controlling Blood pressure
(Systolic and Diastolic).
According to the two-sample independent t-test, LDL amount, FBS amount, and body weight can be controlled via the Facebook health
awareness program. To evaluate the result's significance, the paired sample t-test was conducted on the control group under LDL amount,
FBS amount, and body weight (BW) by considering pre-and post-survey. Also, the test was conducted under a 0.05 significant level
defining the following hypothesis.
𝐻0 ∶ 𝜇𝐿𝐷𝐿 = 0 VS 𝐻0 ∶ 𝜇𝐿𝐷𝐿 < 0
𝐻0 ∶ 𝜇𝐹𝐵𝑆 = 0 VS 𝐻0 ∶ 𝜇𝐹𝐵𝑆 < 0
𝐻0 ∶ 𝜇𝐵𝑊 = 0 VS 𝐻0 ∶ 𝜇𝐵𝑊 < 0
Table 04
Paired-sample t-test results
Survey
(group –
Control)
N Mean St-Dev SE-Mean
95% upper
bound for mean
difference
t-value p-value
LDL
post 50 150.040 22.141 3.131
-6.36383 -25.07 0.000
pre 50 156.860 22.285 3.152
difference 50 -6.8200 1.92396 0.27209

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FBS
post 50 94.980 11.771 1.665
-6.73082 -24.74 0.000
pre 50 102.200 11.323 1.601
difference 50 -7.2200 2.06319 0.29178
BW
post 50 74.7400 14.1491 2.0010
-12.1964 -52.34 0.000
pre 50 87.3400 14.0837 1.9917
difference 50 -12.6000 1.70230 0.24070
The results given in Table 4 revealed that the positive impact of controlling LDL amount, FBS amount, and body weight by the Facebook
awareness program is significant (p-value < 0.05, H0 is rejected, and Mean is less than 0).
The number of times a Facebook health awareness page is used by the group members in the control group was counted using the cookie
file. Then, the Pearson correlation coefficient was calculated between the number of times a Facebook health awareness page is used,
and the positive difference between pre and post-survey results of the control group and interpret the correlation coefficients. Also, the
hypothesis was defined below and tested with the p-value. If the p-value is less than 0.05, the hypothesis is rejected at a 0.05 significant
level. When the correlation coefficient is in the range 0.0 – 0.3, there is no positive or negative correlation, 0.3 – 0.5, there is a weak
positive or negative correlation, and 0.5 – 1.0; there is a strong positive or negative correlation.
0
:
0 

H VS 0
:
1 

H
Figure 01
Correlation results
The results given in Figure 1 revealed that controlling LDL, FBS, and body weight ( >0.5 and close to 1, p-value<0.05, and H0 rejected)
have a strong relationship with the Facebook awareness program. However, controlling BP (S) and BP (D) (<0.5 and close to 0, p-
value >0.05, H0 not rejected) have no relationship with the Facebook awareness program. Further, the impact model (Figure 2) can be
represented with their relationships as follows.

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Figure 02
The impact model
Due to the above-mentioned correlation, the regression model was fitted by considering the number of referring times of Facebook as
the dependent variable. Because of the use of the Facebook health awareness program, the amount of value controlling of each variable;
LDL, FBS, BP (S), BP (D), and Bodyweight were considered as independent variables. Analysis of variance output is used to test the
overall goodness of fit of the model. This test measures how well the model describes the reference frequency, as shown in the
hypothesis.
H0: bconst. = bLDL = bFBS = bBP (S) = bBP (D) = bBW = 0 VS
H1: at least one bvalue is not equal to zero
Figure 03
Correlation coefficients of the regression analysis
The results are given in Figure 3, further explain that p-value = 0.000 (<0.05) in the analysis of variance, and therefore H0 is rejected,
so there is a correlation between the reference time and at least one of the independent variables (LDL, FBS, BP (S), BP (D) or

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Bodyweight). Then the Likelihood Ratios test is used to evaluate the significance of individual coefficients in the model, and the relevant
hypothesis was defined as follows.
0
:
0 
i
b
H VS 0
:
1 
i
b
H Where i = 0, 1, 2 …
The individual p-values of LDL, FBS, and Bodyweight were less than 0.05, therefore H0 is rejected at a 0.05 significant level. Hence, it
was concluded that the LDL, FBS, and Bodyweight become significant in the given regression equation. Finally, the proposed regression
equation can be defined as follows.
𝐍𝐮𝐦𝐛𝐞𝐫 𝐨𝐟 𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤 𝐑𝐞𝐟𝐞𝐫𝐫𝐢𝐧𝐠 𝐓𝐢𝐦𝐞𝐬 = 𝟎. 𝟖𝟖𝟒𝟓 𝐋𝐃𝐋 + 𝟏. 𝟓𝟕𝟏𝟒 𝐅𝐁𝐒 + 𝟒. 𝟕𝟒𝟎𝟔 𝐁𝐨𝐝𝐲 𝐰𝐞𝐢𝐠𝐡𝐭
V. CONCLUSION
The objective of the undertaken study is to examine the awareness program and the number of referring times of Facebook impact
significantly controlling fasting blood sugar levels, body weight, and LDL cholesterol levels. This research study is exclusive due to its
outcomes conclude the use of Facebook awareness program for controlling LDL cholesterol, fasting blood sugar, and Bodyweight have
an affirmative impact on higher life expectance for diabetes patients. The foremost benefit of this health awareness program is continuous
education about diabetes mellitus, maintaining a healthy life, and expecting a long life of patients and their relatives who care for them.
This research study is exceptional because it enables patients to calculate their LDL, FBS, and Bodyweight based on the number of
referring times of the Facebook awareness program using the proposed equation. Hence, this research study has significant practical
implications for motivating diabetes patients to keep up their life well-being. Future work is required to find the reasons why this
awareness program was unable to impact for controlling Blood Pressure of the patients.
ACKNOWLEDGMENT
This work was supported by the University Research Grant, Sabaragamuwa University of Sri Lanka under the Grant No. SUSL-RG-
2017-02.
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[13] A. D. Association, "Standards of medical care for patients with diabetes mellitus," Diabetes Care, vol. 25, no. 1, pp. 213-229, 2002.
AUTHORS
First Author – Dr. H. K. Salinda Premadasa, PhD and MSc in Computer Science, Sabaragamuwa University of Sri Lanka,
salinda@ccs.sab.ac.lk
Correspondence Author – Dr. H. K. Salinda Premadasa, salinda@ccs.sab.ac.lk, +94 714 968 978

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