Exposure of Germas Information by using Phones Preventing

Non-communicable Disease for Millennials, Medan City

Lita Sri Andayani

, Ernawati Nasution

, Eddy Syahrial

Faculty of Public Health, Universitas Sumatera Utara,Universitas Street Number 21, USU Medan 20155, Indonesia

Keywords: GERMAS (Healthy Life Style Movement) Information, Millenials, Preventing, Non-Communicable Disease.

Abstract: Millennials are people born in 1980 - 2000, with characteristic internet addiction, cell phones, digital

technologies, lazy moving, less physical activity, consumingjunk food, riskof having non-communicable

diseases(NCDs).Research objective is to analyzethe correlationbetweenGERMAS information exposure

andprevention ofNCDsby implementing threeprioritiesof GERMAS. This study usedcross-sectional

designwith 100 sample.The results found that there was a correlation between exposure of GERMAS

information and physical activity (p = 0.040); there was a correlation on eatingvegetables and fruits (p =

0.022), but no correlation on health examinationperiodically(p = 0.606). We also found the correlation

onGERMASactions (p = 0,032) with GERMAS information exposure, and correlation GERMAS knowledge (p

= 0.015) and GERMASaction (p = 0,000) towardNCDs prevention. There was a correlationbetween the use

of smartphones and NCDs prevention (p = 0.012).We can conclude that GERMAS information exposure has

a correlation with physical activity and eating fruits but not with periodic medical examination. There is

correlationbetween GERMAS knowledge and action toNCDs prevention, also there iscorrelationusing of

phoneto NCDs prevention.It is recommended to use GERMAS application on smartphone to empower

millennialsin NCDs prevention.

1 INTRODUCTION

Millennial generation arepeople bornin 1980 and

2000. the generation currently aged the range of 18-

38 years, who grow characterized Increasing

recognition themselves, have high confidence

(Hobart, 2014) and marked technological

developments that enter everyday life (Sari, 2015).

Theeducated and understood generation of the

technology, internet addiction, self-confidence and

high self esteem andopened and tolerant of change,

marked the increase in using and familiarity with

communications, media, and digital technologies

(Kilber et al, 2014).

Technological developments cause lifestyle

changes, such as physical activity (lazy exercise),

tend to be "mager" or lazy moving , spending hours

in front of computer screen, smoking, sleeping late,

eating lots of junk food . The behavioral changes

create a higher risk of health problems such as

obesity, hypertention, type 2 diabets, a heart disease,

stroke and mental illness. Basic Health Research

(2013) shows the prevalence of hypertension in

Indonesia at age ≥18 years of 25.8 % . Prevalence of

DM disease 2.1% (Ministry of Health, 2013)up from

1.1% (Balitbangkes, 2014), with average of North

Sumatera1.76%, Medan city 2.72%. Thestroke

disease had been concerningyoung people, namely

inpatientacuteischemic stroke in men and women in

18- 34 years old increasedby 50% period 2003-2012

(Balitbangkes, 2014).

The view of the proportion of enough physical

activity in Indonesia average 8.25%, North Sumatra

7.20%, Medan 15.15%. Proportion of sedentary

behavior ≥ 6 hours per day 24.1% (Ministry of

Health, 2013). Lack of physical activity will be

associated by the incidence of obesity. The Average

ofPrevalence of obesity in Indonesia 26.60%, North

Sumatra average 29.56%, Medan 37.53%

(Balitbangkes, 2014). The proportion of the national

average consumption behavior is less vegetables and

or fruits 93.5 % . Behavior of food consumption is

risky to population ≥10 years old food and sweet

drinks (53,1%), and fatty foods (40,7%) (Ministry of

Health, 2013).

The increasingof NCDs incidence will correlate

the increaseof health care financing; decreased

community productivity; the declining

Andayani, L., Nasution, E. and Syahrial, E.

Exposure of Germas Information by using Phones Preventing Non-communicable Disease for Millennials, Medan City.

DOI: 10.5220/0010084807030707

In Proceedings of the International Conference of Science, Technology, Engineering, Environmental and Ramiﬁcation Researches (ICOSTEERR 2018) - Research in Industry 4.0, pages

703-707

ISBN: 978-989-758-449-7

 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reser ved

703

competitiveness of the state that ultimately affects the

socioeconomic conditions of society. Ministry of

Health, Indonesia has launched a HEALTHY

PEOPLE MOVEMENT (GERMAS). GERMAS as a

health promotion effort in changing humanbehavior

in preventing the incidence of non-communicable

diseases (NCDs) . GERMAS supported by

Presidential Instruction of Indonesia in 2017 with 3

priority actions: 1) Physical Activity, 2) Consumption

of Fruits and Vegetables, 3) Conduct periodic health

examination.

The Research objective to analyze the correlation

of GERMAS information exposure with 3 priority

GERMAS actions, GERMAS behavioral correlation

with NCDs prevention measures, the use of mobile

phone correlations with NCDsprevention.

2 RESEARCH METHODS

Type cross-sectional study, carried out in Medan city.

Research population throughout productive age 15-

39 years of 842,484. Number of sample 100 people

taken with simple random sampling. Data are

collected by interviewing respondents using

questionnaires .

3 RESULTS AND DISCUSSION

3.1 The Correlation GERMAS

Information Exposures to Three

Priority GERMAS Actions

Spread of GERMAS information intensively

conducted by Ministry of Health through social media

and other information media such as television or

advertising services. This information is the basic

stage to reduce morbidity and mortality rates in terms

of NCDsprevention.

From table 1, The analysis shows that p value =

0,040 <α (0,05), it means there is a correlation

theGERMAS information exposure to physical

activity activity.

Table 1: Correlation of GERMAS information exposure to

physical activity measures

GERMAS

Information

Exposure

Physical Activity

Actions

Total

value

Bad Goo

n % n %

ad 18 72.0 7 28.0 25 100

0.040

nough 15 93.8 1 6.3 16 100

36 61.0 23 39.0 59 100.0

otal 69 69.0 31 31.0 100 100.0

Physical activity is a human activity to move.

Regular physical activity and become one of the

habits will improve physical endurance. The "active"

physical activity criterion is an individual who

performs moderate or moderate physical activity or

both, while the "less active" criterion is an individual

who does not engage in moderate or severe physical

activity. Performing regular activity (aerobic physical

activity for 30-45 minutes / day) is known to be very

effective in reducing the relative risk of hypertension

by up to 19% to 30% (Ministry of Health, 2013).

Damanik Research (2014), there is a correlation

between physical activity and food consumption

patterns with more nutritional incidents in USU

students (Nugroho et al, 2016), there is a correlation

of physical activity with hypertension and there is a

correlation of nutritional status with hypertension of

employees in Subdistrict Tomohon Utara .

Millennials tend to perform sedentary behavior.

The sedentary behavior is sitting or lying down

everyday life either at work (work in front of

computer, reading, etc.), at home (watching TV,

playing games, etc.), traveling / transportation (bus,

train, motor) , but not including bedtime. Sedentary

behavior can increase the risk of obesity. Sedentary

behavior in children is often followed by higher snack

consumption and low energy expenditure, which is a

trigger factor for obesity (Mansjoer, 1999), also

(Negri et al, 1991), an increase in high blood pressure

in adolescents who perform activities more than 2

hours each day .

It is an increasing trend of overweight and obesity

in children and adolescents due to decreased physical

activity and increased sedentary behavior such as

watching TV and using a video or a game computer.It

is in line with the opinion of an expert panel of the

American College of Sports Medicine (ACSM) that

obesity is directly related to the number of hours spent

watching television (Marshall, 20014)..

Results of a research (Paruntu et al, 2015),regular

and consistence physical activity shows a reciprocal

correlation with coronary heart disease and has a

positive effect on quality of life and other

ICOSTEERR 2018 - International Conference of Science, Technology, Engineering, Environmental and Ramiﬁcation Researches

704

psychological variables. Most of Teenagers in

California intervene to raise the level of physical

activity. The physical environment plays a very

important role in the level of physical activity in

adolescents (Mayosi, 2009).

Table 2 : Correlation of GERMAS information exposure to

vegetables and fruits action

GERMAS

Information

Exposure

Action of Eating Vegetables

and Fruits

Total p value

Bad Enough Goo

n % n % n % n %

Bad 7 28.0 11 44.0 7 28 25 100

0.02

Enough 9 56.3 4 25.0 3 18.8 16 100

Good 12 20.3 38 64.4 9 15.3 59 100

Total 28 28.0 53 53.0 19 19.0 100 100

From the table above, analysis result shows that

the p value = 0,040 <α (0.05), there is a correlationthe

GERMAS exposure information to the act of eating

vegetables and fruits. The more information received

the more likely it will be for the individual to act. A

research from (Reynolds, 2004) the correlation of

nutrition knowledge with the habit of eating fruits and

vegetables to students in Bogor.

The results of the study, the importance of fruits

and vegetables in reducing cancer risk (Block et al,

1999)and cardiovascular disease (Key et al,

1997).Eating 5 servings of fruit and vegetables in a

day will benefit for the health (Foerster et al, 1995).

Similarly, increased consumption of fruits and

vegetables has been recommended by the UK and

other European authorities (Department of Health,

1994), (Schiffman, 2000), and (Takeunchi, 2017)has

recommended a minimum daily intake for adults of

400g of fruits and vegetables in a day.

Table 3 : Correlation of GERMAS information exposure to

action medical examinationPeriodically

GERMAS

Information

Exposure

Regular Health Check

Measures

Total p value

Bad Goo

n % n % n %

ad 20 80.0 5 20.0 25 100

0.606

nough 14 87.5 2 12.5 16 100

52 88.1 7 11.9 59 100

otal 86 86.0 14 14.0 100 100

Routine screening / screening activities as a

prevention must be taken by every resident of age>

15 and above to detect early behavioral risk factors

that may lead to heart disease, cancer, diabets and

chronic lung disease, sensory disorders and mental

disorders.

From Table 3, analysis result shows that the p

value = 0.606> α (0.05), there was no association

between exposure to the action information

GERMAS periodic health checks on GERMAS.

Information about GERMAS has a positive impact on

people's health, namely to reduce the burden of

infectious and non-infectious diseases. The impact of

such exposure may be associated with the increasing

number of people who check their health regularly to

health center. The purpose of it to identify the risk

factors and early disease signs, prevent disease in the

future through early intervention (Larsen, 2012).

Table 4: Correlation of GERMAS information exposure

toGERMAS actions

GERMAS

Information

Exposure

GERMAS action Total p value

Bad Enough Goo

n % n % n % n %

Bad 11 44.0 10 40.0 4 16.0 25 100

0.03

Enough 10 62.5 4 25.0 2 12.5 16 100

Goo

15 25.4 38 64.4 6 10.2 59 100

Total 36 36.0 52 52.0 12 12.0 100 100

From the table above, analysis reslut shows that

the p value = 0.032 <α (0.05), there is a correlation

between GERMAS informationexposure with

GERMAS action. The more information is received

by individual knowledge will also increase so that it

triggers the individual to act. Action is an attitude not

yet automatically manifested in an action.

3.2 Correlation of GERMAS Behavior

to Action of NCDs Prevention

From table 5, p acyl analysis shows that the p value =

0.015 <α (0.05), there is a correlationthe GERMAS

knowledge aboutaction of NCDs Prevention.

Table 5 : Correlation of GERMAS knowledge with Action

of NCDs prevention

GERMASKnowledge

Action of NCDs

Prevention

Total

value

Bad Goo

n % n %

Bad 0 0.0 1 100.0 1 100

0.015

Enough 10

0.0 15 60.0 25 100

Goo

10 13.5 64 86.5 74 100

Total 20

0.0 80 80.0 100 100

From table 5, analysis result shows that the p

value = 0.000 <α (0.05), which means there is a

correlationthe GERMAS knowledge to NCDs

preventionwith this case supported research [16], an

increase in the burden of disease over the next decade

in South Africa in the absence of NCDs prevention

actions, by means of advocacy and effective action.

Exposure of Germas Information by using Phones Preventing Non-communicable Disease for Millennials, Medan City

705

Table 6 : Correlation of GERMAS actions with Action of

NCDs prevention

GERMAS

action

Action of NCDs

prevention

Total p

value

Bad Goo

n % n % n %

Bad 16 44.4 20 55.6 36 10

0,000

Enough 4 7.7 48 92.3 52 100

Goo

0 0.0 12 100.0 12 100

Total 20 20.0 80 80.0 100 100

3.3 Smartphone Usage Correlation with

NCDs Prevention

From table 7, analysis result shows that the p value

= 0.012 <α (0.05), which means that there is a

correlation the use of smart phones with NCDs

prevention.

Table 7 . Smart phone usage correlation with NCDs

prevention measures

Smartphone

Usage

CDs Prevention Measure

Total p

value

Bad Goo

n % n % n %

Bad 2 66.7 1 33.3 3 100

0.012

Enough 11 29.7 26 70.3 37 100

Goo

7 11.7 53 88.3 60 100

Total 20 20.0 80 80.0 100 100

Nowadays, people communicate and get

information by usingthe smart phones. All features

are already available on the service. Smartphones are

currently used as medi a health information. The

Research that supporting it (Dennison et all, 2013),

health behaviorinterventions bydeveloping health

applications insmartphone. They said (Scottish,

1993)a smartphone web worthy of educational

material to support the practice of antenatal perineal

massage in pregnant women.

The determination of the technology is very high

students show that they use a smartphone with new

technology and innovation in accordance with the era

or the present. The study (Bianchi et al, 2005)shows

that youth groups tend to experiment with new

technologies and show off technological addictions

that can be used with existing features in mobile

phones.

4 CONCLUSIONS

There is a correlation of GERMAS information

exposure to the action of physical activity, eating

fruits and vegetables and examinating the health

periodicly, also a correlation GERMAS knowledge

and action to NCDs prevention, and there is a

correlation the mobile phone usage to NCDs

prevention. Based on the above conclusions it is

suggested GERMAS information can be done by

using the application on smart phones to empower

millennial generation on NCDs prevention effort.

ACKNOWLEDGEMENTS

The authors would like to thank the Directorate of

Research and Community Service of

DirectorateDirectorateGeneral for Research and

Development of the Ministry of Research,

Technology and Higher Education for the funding

support of this research with contract number:

226/UN5.2.3.1/PPM/KP-DRPM/2018.

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