INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 329
www.rsisinternational.org
Exploring the Factors of Obesity: Insights from Johor State Civil
Servants
Mohd Johari Tarmidi
1,2
, Hisyamudin Amat
1,3
, Mahathir Abdul Shukor
1,4
, Noor Azmi Md Omar
1,5
,
Mohd Ezwan Abdul Ghani
1,6
, Faizah Mohd Fakhruddin
7
1
Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor, Malaysia
2
Tangkak District Office, Johor, Malaysia
3
Johor State Public Works Department, Johor, Malaysia
4
Project Monitoring and People's Well-Being Division of Johor Government Secretary's Office, Johor,
Malaysia
5
Johor State Economic Planning Division of Johor Government Secretary’s Office, Johor, Malaysia
6
Johor State Legislative Assembly Office, Johor, Malaysia.
7
Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Johor, Malaysia
DOI:
https://dx.doi.org/10.47772/IJRISS.2025.910000028
Received: 22 September 2025; Accepted: 05 October 2025; Published: 03 November 2025
ABSTRACT
This research investigates the factors of obesity among Johor State civil servants. A qualitative research
approach and case study design were employed, involving semi-structured, in-depth interviews with five
informants aged 29 and above from diverse state departments in Johor, Malaysia. The research findings
highlight four social factors that contributed to obesity, such as peer influence, inconsistent eating habits, lack
of physical activity, and workplace food environment. The cost of healthy food was found to be the economic
factor influencing food choices. Besides that, the findings also show how the selective implementation of
health incentives led to obesity among the informants. The study further recommends that future research
incorporate quantitative methods to provide a more comprehensive analysis of the prevalence of obesity.
Furthermore, discussions should be facilitated through workshops or focus group discussions that enable
individuals or experts to share experiences and strategies for addressing obesity’s social, economic, and policy
factors. This approach aims to create healthier civil servants who can provide the best services to the
community.
Keywords: obesity, factor, civil servant, eating habit, workplace food environment
INTRODUCTION
Obesity has emerged as a pressing public health challenge worldwide, characterized by excessive body fat
accumulation that elevates the risk of numerous chronic conditions, including diabetes, hypertension,
cardiovascular diseases, and certain cancers. Defined by the World Health Organization (WHO) as a body
mass index of 30 kg/m² or higher for general populations and adjusted to 27.5 kg/m² for Asians due to
heightened risks at lower thresholds, obesity stems from a complex interplay of genetic, behavioral,
environmental, socioeconomic, and psychological factors. In Malaysia, the National Health and Morbidity
Survey 2019 (National Institutes of Health, Ministry of Health Malaysia, 2020) reported that nearly 20% of
adults in Johor are obese, with rates potentially higher among civil servants owing to sedentary desk jobs,
urban lifestyles, and cultural dietary preferences such as high-calorie Malay staples like nasi lemak and fried
snacks. This demographic, predominantly Malay ethnic in Johor, faces unique vulnerabilities, with obesity
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 330
www.rsisinternational.org
rates around 24% linked to communal eating habits and limited physical activity. Among Johor State Civil
Servants, obesity not only impairs individual health and productivity but also imposes significant economic
burdens on the healthcare system, estimated at MYR2 to 4 billion annually nationwide. Absenteeism, reduced
work efficiency, and psychosocial issues like workplace stigma further exacerbate the problem.
Statement of problem
Malaysia faces a significant obesity crisis, with the overall national prevalence reaching 11.7% among
individuals aged 15 years and above, representing a 280% increase since 1996 (Rampal et al., 2007). The
prevalence is notably higher among females (13.8%) compared to males (9.6%), with Malays (13.6%) and
Indians (13.5%) showing the highest rates among ethnic groups (Rampal et al., 2007). Key contributing factors
include physical inactivity (ranked as the primary factor at 41.6%), food intake, emotional factors, and
technology use (Mahat et al., 2022). Among healthcare workers specifically, 21.1% are obese, with nurses
having significantly higher obesity risk (Kunyahamu et al., 2021). Social determinants affecting the Malay
community include body image dissatisfaction, poor eating habits, health knowledge gaps, physical inactivity
barriers, media influence, and religious practices (Ullah et al., 2018). These findings highlight the urgent need
for comprehensive intervention programs targeting Malaysia's growing obesity epidemic, especially among
civil servants.
Research objective
The study aims to achieve the following objective:
1) To explore the factors that contribute to obesity among Johor State civil servants in Malaysia.
Significance of the study
This study holds profound significance for Johor state civil servants grappling with obesity, as it elucidates the
multifaceted factors that contribute to elevated risks of non-communicable diseases (NCDs) like hypertension,
diabetes, and hypercholesterolemia, thereby empowering individuals with actionable insights to improve
personal health outcomes, enhance quality of life, and mitigate productivity losses from sickness absenteeism
and reduced work ability. By highlighting these determinants, the research fosters greater self-awareness and
behavioural changes among affected employees, potentially reducing the economic burdens of healthcare costs
and lost wages associated with obesity-related complications in this demographic.
For policymakers in Malaysia, particularly those overseeing public sector health initiatives in Johor, this study
provides evidence-based recommendations to refine obesity prevention strategies, such as expanding selective
programs like Johor Sihat Penjawat Awam to achieve broader coverage and address implementation barriers,
ultimately optimising resource allocation and public health investments. It underscores the need for integrated
policies that prioritise workplace interventions, public-private partnerships, and systematic monitoring to
combat the obesity epidemic, thereby enhancing workforce efficiency and reducing national healthcare
expenditures in the long term.
In terms of advancing future research and the body of knowledge, this study bridges critical gaps in obesity
literature specific to Malaysian civil servants by integrating socio-demographic, lifestyle, and occupational
factors into existing models, such as the socio-ecological framework for obesity prevention. It paves the way
for longitudinal investigations into intervention efficacy and genetic influences. It contributes to theoretical
development by emphasising context-specific determinants in Southeast Asian public sectors, encouraging
interdisciplinary approaches that incorporate qualitative insights on barriers and perceptions to enrich global
obesity theories and inform scalable models for similar populations worldwide.
LITERATURE REVIEW
Peer Influence
Peer influence refers to how social networks, such as friends, family, or colleagues, shape an individual's
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 331
www.rsisinternational.org
behaviors related to diet, physical activity, and body weight perceptions, often leading to the adoption of
similar habits that can contribute to obesity. For instance, if peers frequently consume high-calorie foods or
engage in sedentary activities, individuals may mimic these patterns due to social conformity or shared
environments, exacerbating obesity risks, especially among adolescents and young adults. Research highlights
that peer effects can propagate obesity through mechanisms like imitation or social norms, with studies
showing a higher obesity likelihood of obesity if close friends are obese (Mognard et al., 2023).
Inconsistent Eating Habits
Inconsistent eating habits significantly contribute to obesity development across various populations. Research
demonstrates that junk food consumption is a primary factor, with 13 out of 15 studies confirming its
association with obesity, particularly due to leptin resistance in obese individuals that fails to suppress appetite
(Pebriani et al., 2022). Ultra-processed foods show a substantial dose-response relationship with obesity across
diverse populations, including Spanish university graduates, Brazilian civil servants, and UK Biobank
participants, attributed to their oro-sensory characteristics, satiety levels, and nutritional content (Shen, 2023).
Indonesian adolescents exhibit poor dietary patterns characterized by frequent fast-food consumption, high-fat
and high-carbohydrate intake, nighttime eating, excessive portions, and breakfast skipping, combined with
predominantly sedentary activities (Purnomo et al., 2024). Environmental factors also play crucial roles, as
areas with limited access to healthy foods but abundant fast-food vendors promote obesogenic eating patterns,
emphasizing the importance of establishing healthy eating habits during childhood development (Reviani &
Riany, 2022).
Lack of Physical Activity
Physical inactivity has emerged as a critical factor contributing to obesity across different populations.
Research demonstrates that sedentary lifestyles, characterized by light physical activities such as watching
television and minimal exercise participation, significantly contribute to obesity development among
adolescents through poor dietary patterns and reduced energy expenditure (Santos et al., 2025). Among
workers specifically, irregular and insufficient physical activity patterns consistently correlate with obesity
development, as office environments promote prolonged sedentary behavior (Ratri et al., 2021).
Workplace Food Environment
The workplace food environment, encompassing the availability, affordability, and promotion of food options
at work, plays a pivotal role in shaping employees’ dietary habits and contributing to the global obesity
epidemic, where sedentary lifestyles and easy access to unhealthy choices often lead to excessive calorie intake
and weight gain. As modern work settings increasingly rely on vending machines, on-site cafeterias, or catered
meals laden with processed and calorie-dense foods, they inadvertently foster obesogenic behaviors,
exacerbating health risks such as metabolic disorders and reduced productivity. For instance, a study
conducted by Geboers et al. (2025) on workplace food environments in small and medium-sized enterprises
(SMEs) reveals apparent differences across desk-based, mobile workforce, and other types, with structural
options like on-site cafeterias largely absent; desk-based SMEs often provide daily facilitated lunches, while
mobile workforce employees typically receive food allowances. However, all SME types share a lack of
financial incentives or policies for healthy and sustainable eating, compounded by barriers such as viewing
nutrition as outside organizational responsibility.
The Cost of Healthy Food
Research has consistently demonstrated an inverse relationship between food energy density and cost, where
energy-dense foods high in refined grains, added sugars, and fats are significantly cheaper than nutrient-dense
options like lean meats, fish, fresh vegetables, and fruits (Drewnowski & Darmon, 2005; Drewnowski, 2004).
This economic disparity creates a situation where low-income populations may select energy-dense foods as a
cost-saving strategy, potentially leading to passive overeating and weight gain due to their lower satiating
power (Drewnowski & Darmon, 2005).
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 332
www.rsisinternational.org
Selective Implementation of Health Incentives
Research suggests that financial rewards for weight loss should motivate behavioral changes, and empirical
research has strongly supported this premise. However, results vary widely due to differences in incentive
design and contextual factors (Jeffery, 2012). Studies indicate that incentivizing weight loss is effective in the
short term while incentives are active, with positive incentives increasing program uptake and potentially
reducing dropouts (Ananthapavan et al., 2018). However, the relative effectiveness of different incentive
designs remains unclear. For childhood obesity specifically, limited but encouraging evidence supports
incentives for health-related behavior change in children (Enright & Redfern, 2016).
METHODOLOGY
Research Approach and Design
This study employs a qualitative research approach. The said approach is the most suitable because it enables
researchers to explore and analyze the intended problems encountered by the informants (Taylor et al., 2016).
It allows the researchers to have an in-depth understanding of the various issues explored or predicaments
faced by Johor civil servants relating to the issue of obesity. This allowed the researchers to gain insight into
how the informants interpreted their experience, what meanings they attributed to it, and how it affected them.
Additionally, this study used a case study design to comprehend multifaceted issues that informants encounter
in various contexts.
Sample and Sampling Techniques
Sampling is a technique that involves setting specific criteria (Etikan et al., 2016). It enables researchers to
identify and select cases with abundant information, enhancing the effectiveness of limited study resources
(Palinkas et al., 2015). Purposive sampling is a technique commonly used in qualitative research. It is
intentionally used to select individuals involved in the study, allowing researchers to identify and choose
information-rich cases, thus maximizing the efficient use of limited resources.
The selected sample represents the target population. The sample for this study was chosen using the snowball
sampling technique. This technique involves gathering samples, typically after the study has begun, by asking
informants to suggest others as potential participants (Creswell, 2013). The sample for this study represents
five informants. The total number of informants was determined and finalized using the saturation principle,
which states that once the data were collected, no new themes or sub-themes were added to the existing data
(Taylor et al., 2016).
Table I Demographic Profile of the Informants
Informants’
Demography
Tika
Sam
Fari
Zack
Gender
Female
Male
Female
Male
Age
40
28
45
29
Location
Johor Bahru,
Johor
Johor Bahru,
Johor
Tangkak, Johor
Johor Bahru,
Johor
Ethnic group
Malay
Malay
Malay
Malay
Current occupation
Clerk
Clerk
Clerk
Executive
Officer
Marital status
Married
Single
Married
Married
Monthly income
(MYR)
MYR5,000
and above
MYR5,000
and above
MYR5,000 and
above
MYR5,000
and above
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 333
www.rsisinternational.org
Length of services
(Years)
17
2
17
2
Height (cm)
155
168
144
170
Weight (kg)
110
85
80
165
Body Mass Index
45.78 (Class
III obese)
30.11 (Class I
obese)
38.6 (Class II
obese)
57.1 (Class
III obese)
Table I presents the demographic profile of the five informants in this study, revealing diverse backgrounds in
terms of gender, age, location, ethnicity, occupation, marital status, monthly income, length of service, height,
weight, and body mass index. The sample consists of three women (Tika, Fari, and Zehra) and two men (Sam
and Zack), aged 29 to 45. Geographically, all informants work in the Johor Bahru area except Fari at the
Tangkak district. Regarding ethnicity, all informants are Malays and Muslims. All of the informants are Johor
civil servants. Tika, Sam, and Fari are clerks, while Zack and Zehra hold higher positions as officers. They are
all married, except Sam, who is still single. They all earn more than MYR5,000 per month, and their lengths of
service also differ, with Tika and Fari having 17 years of experience, Sam and Zack having 2 years, and Zehra
having a service period of 11 years. Zack is the tallest informant at 170cm, followed by Sam at 168cm. Tika's
height is 155cm, Zehra's is 152cm, and Fari's is 144cm. The heaviest among all informants is Zack, weighing
165kg, followed by Tika at 110kg, Sam at 85kg, and Fari at 80 kg, with Zehra being the lightest at 75kg.
Lastly, the body mass index shows that Zack and Tika are classified as class III obese, with BMIs of 57.1 and
45.78, followed by Fari, who is class II obese, and Sam and Zehra, who are class I obese, with BMIs of 30.11
and 32.
Data Collection Procedure
The study utilized semi-structured, in-depth interviews as the primary data collection method. The interview
protocol was structured around the central issue of obesity and divided into two main categories of questions:
closed-ended and open-ended.
Closed-ended questions primarily focused on gathering demographic information about the informants. This
included details such as gender, age, location, ethnic group, current occupation, marital status, monthly income
(in MYR), length of service (in years), height (in cm), weight (in kg), and body mass index (BMI). These
questions were designed to provide a standardized profile of each participant, as summarized in Table I of the
study, which lists the demographics for the five informants (e.g., all Malay, aged 2845, with BMIs indicating
obesity classes IIII).
Open-ended questions were crafted to elicit detailed responses aligned with the study's objective: exploring the
factors contributing to obesity among Johor State civil servants. These questions allowed informants to share
personal experiences, interpretations, and meanings related to their obesity, such as influences from social
networks, eating patterns, physical activity levels, workplace environments, economic constraints, and policy-
related issues. Specific examples from the findings include probes that led to narratives about peer invitations
to eat out, skipping meals due to time constraints, sedentary work routines, and the high cost of healthy foods.
Interviews were conducted in the Malay language to facilitate natural storytelling and ensure cultural comfort.
Each session lasted an average of 30 minutes and was held in relaxed, informant-chosen settings (e.g., cozy
cafés or lounge areas) at a time and date of their preference. Before starting, researchers provided an
information sheet and informed consent form to explain the study's nature, objectives, and scope. Informants
were assured of confidentiality, voluntary participation, and the right to withdraw. With permission, interviews
were audio-recorded to capture details accurately. This approach enabled a welcoming atmosphere for open
dialogue, aligning with qualitative principles to gain in-depth insights into lived experiences.
Data Analysis
The coding process in the study followed a systematic qualitative data analysis workflow, emphasizing
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 334
www.rsisinternational.org
verbatim transcription and thematic analysis, as guided by Creswell (2013). This approach ensured a rigorous,
inductive examination of the data, allowing themes to emerge naturally from the informants' narratives without
preconceived frameworks. Below, expanding on each stage, incorporating standard practices from Creswell's
methodology, which typically involves a "data analysis spiral" with iterative steps: organizing data, reading
and noting, describing and classifying codes into themes, and interpreting the findings. The process
transformed the raw interview data into structured themes (social, economic, and policy factors) and sub-
themes, directly addressing the research objective of exploring obesity contributors among Johor State civil
servants.
1) Transcription: Following the completion of the five semi-structured interviews, the audio recordings
were transcribed verbatim into written Malay transcripts, resulting in a total of 80 pages. Verbatim
transcription captured not only the spoken words but also elements like pauses, emphases, and contextual
nuances to preserve the informants' original expressions and meanings. This step aligned with Creswell's
(2013) emphasis on preparing raw data for analysis, ensuring fidelity to the informants' voices in their native
language (Malay) to maintain cultural relevance, such as references to local foods like "nasi lemak" or "mamak
restaurants."
Transcription was performed with transcription software, involving multiple passes to verify accuracy. The
average interview length of 30 minutes per informant generated approximately 16 pages each, indicating
detailed responses rich in personal anecdotes (e.g., Zehra's description of peer invitations to eat out). Quality
checks, such as comparing transcripts against recordings, would have been essential to avoid errors.
This foundational step provided a clean, organized dataset for subsequent analysis, enabling the researchers to
immerse themselves in the content without losing subtle insights into the informants' experiences of obesity
factors.
2) Translation and Initial Coding: A software converter was employed to translate the Malay transcripts
into English while applying initial coding. This tool handled the bilingual content efficiently, identifying key
phrases, patterns, and recurring ideas. Initial coding, equivalent to Creswell's (2013) early detailed analysis
phase, involved labelling data segments with descriptive codes drawn directly from the text (e.g., "peer
invitation to eat" from Zehra's quote about colleagues ordering food, or "expensive healthy food" from Tika's
discussion of fruit and vegetable costs). Codes were assigned to units of meaning, such as sentences or
paragraphs, to capture preliminary patterns related to social, economic, and policy influences on obesity
The software supported simultaneous translation and coding, with automated features for keyword detection
and manual oversight to refine codes. For instance, a quote like Zack's on skipping breakfast due to time
constraints might be initially coded as "inconsistent eating habits" and "work demands." Translation ensured
accessibility for analysis, with careful handling of cultural terms to avoid loss of meaning.
This step bridged the language gap while organizing the data, setting the stage for deeper thematic
development. It aligned with Creswell's spiral by beginning the process of reducing the 80-page dataset into
manageable, coded elements.
3) Thematic Analysis: Thematic analysis, per Creswell (2013), systematically examined the data through
an iterative spiral. The steps included:
a) Immersion through Multiple Readings and Memoing: Researchers read the English transcripts
repeatedly to familiarize themselves with the content, jotting memos (notes) on emerging ideas, such as
connections between workplace culture and eating habits. This built an overall sense of the data's patterns.
b) Open Coding (Describing and Classifying): Detailed coding labeled segments with descriptive codes,
staying close to the informants' words. Examples include "lack of exercise facilities" from Fari's narrative on
sedentary offices or "selective health screening" from Sam's quote on limited program access. Codes were
generated inductively, without predefined categories.
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 335
www.rsisinternational.org
c) Axial Coding (Connecting Codes into Categories): Related codes were grouped into categories,
identifying relationships. For example, codes like "peer invitation to eat," "communal pantry gatherings," and
"high-calorie meeting refreshments" were connected under "social factors," while "expensive fresh produce"
and "cheap fast food" formed "economic factors."
d) Selective Coding (Refining into Themes): Categories were refined into overarching themes and sub-
themes, interpreting their significance. The three main themessocial (sub-themes: peer influence,
inconsistent eating habits, lack of physical activity, workplace food environment), economic (sub-theme: cost
of healthy food), and policy (sub-theme: selective implementation of health incentives)emerged as a
cohesive framework, visualized in Figure 1.
The coding system categorized and linked data, with iterations involving researcher discussions for consensus.
Creswell's (2013) six-step variant (organize data, read through, code, generate themes, represent findings,
interpret) was adapted, emphasizing the spiral's non-linear natureresearchers revisited earlier steps to refine
codes. This produced a nuanced understanding of obesity factors, grounded in the data and addressing the
research objective.
Saturation was achieved through the saturation principle, as cited from Taylor et al. (2016), which defines it as
the point where additional data collection yields no new themes or sub-themes. In this study, the sample of five
informants was finalized based on this criterion: after transcribing and analyzing the interviews, the researchers
determined that the data had reached redundancy, with recurring patterns in social, economic, and policy
factors (e.g., repeated mentions of peer influence or costly healthy foods) and no novel insights emerging.
Using purposive and snowball sampling, informants were selected for information richness (obese civil
servants from diverse departments). Data collection and analysis occurred iterativelyafter each interview,
preliminary coding and thematic review checked for new elements. By the fifth informant, themes stabilized,
as per Taylor et al.'s (2016) emphasis on data saturation in qualitative methods, where collection stops when
information repeats without adding depth.
Saturation was assessed during thematic analysis; if a new interview introduced unique sub-themes, sampling
would continue, but the 80-page corpus showed thematic redundancy (e.g., all informants echoed workplace
sedentariness). This small-sample approach is common in case studies, prioritizing depth over breadth.
RESEARCH FINDINGS AND DISCUSSION
Figure 1: Factors of obesity among Johor State civil servants in Malaysia
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 336
www.rsisinternational.org
Based on Figure 1, this study revealed three prominent themes regarding the factors of obesity experienced by
the informants. The three themes are social, economic, and policy factors. The sub-themes for social factors
are peer influence, inconsistent eating habits, lack of physical activity, and workplace food environment. The
sub-theme for the economic factor is the cost of healthy food. Finally, the sub-theme for policy factor is the
selective implementation of health incentives.
Social Factors
This study analyzed the factors that contribute to obesity among civil servants in the state of Johor. The
findings show that peer influence, inconsistent eating habits, lack of physical activity, and workplace food
environment are major contributors to obesity. The following paragraphs will discuss those issues in detail.
1)
Peer influence: Obesity is a growing global health problem, especially among office workers such as
civil servants, where sedentary lifestyles and unhealthy eating patterns are often the norm. One of the
informants, Zehra (pseudonym), who is 33 years old and has been through such a situation, recounted the
following:
"Sometimes colleagues invite me to eat out. Sometimes they order the food delivery services. It is hard for me
to refuse. So, I go with it."
The informant explains that irregular eating patterns, including skipping meals, consuming high-calorie snacks
(e.g., cakes, fatty rice), and eating junk food when hungry, indicate poor nutritional choices. Social pressure
from colleagues to participate in communal eating, often involving unhealthy food choices, makes it
challenging to adhere to a healthy diet (Mognard et al., 2023).
2)
Inconsistent eating habits: Inconsistent eating habits often stem from the relentless pace of modern life,
where meals become casualties of tight schedules, leading to skipped breakfasts and reliance on quick,
nutrient-poor options that disrupt metabolic balance and promote weight gain. An informant, Zack
(pseudonym), 29 years old, recounted the following:
“I eat according to the availability of time. Sometimes, I skip breakfast, while lunch is usually eaten at mamak
(Muslim Indian) restaurants or prepared as a packaged meal whenever possible. I consistently eat dinner,
whether I cook it at home or dine out. Furthermore, frequent office meetings are often served with
refreshments, most of which are high in calories”.
The findings exemplify how external pressures like work demands and convenience foods foster inconsistent
eating habits; a pattern linked to obesity through disrupted energy regulation and excess calorie intake. This is
compounded by the obesogenic workplace, where high-calorie refreshments during meetings normalize
snacking. In Zack’s Malaysian urban context, cultural reliance on flavorful, affordable mamak fare adds to the
challenge, creating a feedback loop of irregularity that undermines health. This aligns with studies done by
Purnomo et al. (2024), who found that inconsistent eating habits like those seen in Indonesian adolescents, who
frequently consume fast food, high-fat/high-carb meals, nighttime snacks, oversized portions, and skip
breakfast amid sedentary lifestyles, underscoring how irregular patterns amplify obesogenic risks in modern
contexts. In addition, Shen (2023) also found that the dose-response association between ultra-processed foods
and obesity is evident across diverse groups, due to their sensory allure, low satiety, and nutrient-poor profiles.
3) Lack of physical activity: The informants reported that the office lacks facilities and time for physical
activity, resulting in hours spent sitting at desks. This sedentary environment contributes to weight gain and
reduced physical health. This condition leads to a sedentary lifestyle, as most of the working time is spent in a
sitting position at a desk all day. Time constraints stemming from busy work schedules, coupled with an
organizational culture that emphasizes desk-based productivity, have reduced employees' opportunities and
motivation to engage in physical activity. Although the office provides walking opportunities (stairs,
corridors), prolonged working time at the desk remains dominant. This is reflected in the narratives of a 45-
year-old informant, Fari (pseudonym), who said the following:
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 337
www.rsisinternational.org
"The office environment is quite limited in terms of physical activity. There is no dedicated space for exercise,
and most of the time is spent sitting at a table. Time constraints and a busy work culture reduced opportunities
for physical activity, which has contributed to my weight gain".
The findings align with the study done by Santos et al. (2025) and Ratri et al. (2021), who found that physical
inactivity or a sedentary lifestyle is a critical factor contributing to obesity.
4) Workplace food environment: Workplace food environment encourages the consumption of heavy fried
foods during pantry gatherings and after-meeting banquets. One of the informants, Tika (pseudonym), who is
40 years old and has been through such a situation, recounted the following:
“If there are any staff cooks in the pantry, they will invite me too. Usually, it is heavy food, such as fried
dishes. If there is a meeting with a refreshment, I eat together in the dining area after the meeting”.
Similarly, an informant, Fari (pseudonym), who is 45 years old, shared the following:
“At work, there are often meetings or small celebrations that provide fried food, sweet cakes, and sugary
drinks. Even though I was basically trying to eat healthy food, the atmosphere of eating together made it
difficult for me to refuse it.”
Social norms in the workplace, such as eating together, promote unhealthy eating, making it challenging to
maintain a balanced diet. This highlights how the workplace environment can normalise the consumption of
high-calorie foods. Workplace culture encourages the consumption of heavy and fried foods during pantry
gatherings and after-meeting banquets. This aligns with the studies done by Geboers et al. (2025), who found
that a consistently limited food environment that fails to encourage healthier dietary choices actively gives rise
to the problem of obesity.
Economic Factor
Under the economic factor, the findings show that the cost of healthy food is a factor that leads to obesity. The
following paragraphs will discuss such issues in detail.
1) The cost of healthy food: Obesity remains a pressing public health concern globally, and Johor state is no
exception. The interplay between economic constraints, food pricing, and individual dietary choices vitally
influences the prevalence of obesity. Findings from the study highlight that the affordability of food is a central
determinant of nutritional behaviour, which in turn perpetuates weight-related health challenges among the
informants. An informant, Tika (pseudonym), emphasised that the cost of healthy food is expensive. She said:
“In my opinion, the cost of healthy food is quite expensive at the moment, especially fresh fruits and
vegetables, compared to other food, such as fast food, rice, and fried noodles. This causes my expenses to be
spent more on relatively cheap food.”
In addition, Zack (pseudonym) offered a comparative perspective and recounted the following:
“The pricing of meals in eateries and restaurants demonstrates that less nutritious food options are available
at significantly lower costs compared to healthier alternatives. For instance, a plate of fried rice is priced at
approximately MYR5, whereas a grilled chicken dish ranges between MYR11 and MYR13.”
Similarly, an informant called Fari (pseudonym) further shared her experience related to the issue as follows:
“Income greatly influences my food choices. When finances are limited, I tend to choose cheaper, easily
available, and filling foods. These options are sometimes less healthy, such as fried foods or fast food.
However, when I have more financial flexibility, I prefer to buy fresh produce, fruits, and nutritious foods,
even if they are more expensive. This experience shows that financial constraints can sometimes limit the
ability to eat healthily.”
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 338
www.rsisinternational.org
The findings highlight that obesity cannot be understood solely as an individual responsibility but as a
structural issue rooted in economic inequality. Income remains one of the strongest factors of dietary quality.
Economic instability not only affects immediate food choices but also has long-term implications for health
inequality. The narratives of the informants underscore three interrelated themes that illuminate the
socioeconomic dimensions of obesity in Malaysia. First, healthy food emerges as a luxury commodity. Fresh
produce and lean proteins are perceived as prohibitively expensive, thereby limiting their accessibility to
households with constrained financial resources. Second, unhealthy food functions as the default dietary
option. Fast food and carbohydrate-dense meals, being consistently cheaper and more filling, provide an
economically rational choice for individuals seeking affordability and satiety. Third, income serves as the
critical gatekeeper of dietary quality. Financial stability enables individuals to adopt healthier eating practices,
while economic insecurity entrenches dependence on inexpensive, energy-dense alternatives. In other words, it
is not merely a matter of individual choice but a reflection of structural economic realities. High costs of
healthy foods, the affordability of unhealthy alternatives, and income instability collectively shape dietary
practices.
The findings are corroborated by the studies done by Drewnowski and Darmon (2005) and Drewnowski
(2004), who found that the affordability of healthy food is a major barrier to healthier eating among middle-
and low-income households. The structural context where fast food chains offer filling meals at a fraction of
the cost of fresh produce reinforces obesogenic behaviours. This affordability gap contributes to dietary
inequalities, where those with fewer financial resources disproportionately consume foods high in fat, sugar,
and salt.
Policy Factor
Under the policy factor, the findings indicate that the selective implementation of health incentives is a
contributing factor to obesity. The following paragraphs will discuss such issues in detail.
1) Selective implementation of health incentives: Evidence from data records, research, and official sources
indicates that health incentives such as routine check-ups and obesity prevention programs in Malaysia are
often limited to civil servants or specific population segments, due to factors such as lack of resources, policy
priorities, and implementation barriers. This limits the impact of obesity prevention at the national level,
especially among children, adolescents, or rural populations.
The Johor Sihat Penjawat Awam program is a collaborative initiative between the Johor State Government
and KPJ Healthcare Berhad, launched in April 2024. It offers free health checks, including blood tests, urine
tests, an electrocardiogram (ECG), and doctor consultations to eligible Johor state civil servants, with an
initial target of 13,000 participants until December 2024. The program is implemented at KPJ hospitals in
Johor, such as KPJ Kluang, Bandar Maharani, and others. In 2025, it was continued as version 2.0 through the
Johor Budget 2025 with an allocation of MYR800,000, targeting 5,000 participants, and open until 30
November 2025. The launch of version 2.0 was carried out in May 2025 at the KPJ Kluang Specialist
Hospital, focusing on basic health screening and health education. The program aims to detect non-
communicable diseases (NCDs) such as obesity, diabetes, and hypertension early among civil servants, in line
with national obesity prevention efforts. However, such health incentives are often implemented selectively,
limited to specific target groups such as civil servants, which limits their impact on the general population.
One of the informants, Sam (pseudonym), aged 28, recounted the following:
“There is provision to promote healthy living through health screening under the State Government through
specialist hospitals, but not all civil servants are involved, and only a select few.”
Based on Sam’s statement, the State Government provides a provision to promote healthy living through
health screening in specialist hospitals. However, this initiative is not fully inclusive, involving only a select
few civil servants. The government provides some health screening, but selective access limits the broad
impact on obesity. This suggests that even when allocations exist, selectivity undermines universal coverage,
potentially exacerbating the obesity gap. Studies such as Jeffery (2012), Ananthapavan et al. (2018), and
Enright and Redfern (2016) strongly support the short-term effectiveness of financial incentives in motivating
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 339
www.rsisinternational.org
weight loss and health behaviour changes, particularly by boosting program uptake and reducing dropouts.
Their long-term impact and optimal design remain unclear, with limited but promising evidence for childhood
obesity interventions.
CONCLUSION
In conclusion, this empirical investigation into the factors of obesity among Johor State civil servants reveals a
multifaceted issue driven by social influences such as peer influence, inconsistent eating habits, lack of
physical activity, workplace food environment, economic barriers, including the high cost of healthy foods,
and policy shortcomings, notably selective implementation of health incentives. Through qualitative insights
from in-depth interviews with five informants, the study underscores how these interconnected factors
perpetuate obesity, leading to elevated risks of non-communicable diseases, reduced productivity, and
increased healthcare costs. Social factors emerged as particularly dominant, highlighting the role of communal
norms and work environments in shaping unhealthy behaviors. The findings emphasize the need for holistic
strategies beyond individual responsibility, advocating for systemic changes such as affordable healthy food
subsidies, expanded health incentive programs, stress management workshops, and workplace reforms to
encourage physical activity. By addressing these root causes, Johor can mitigate obesity's impact on its civil
service, enhancing overall workforce well-being and public service delivery.
RECOMMENDATION
To effectively address obesity among Johor State civil servants, a multifaceted approach is essential, building
on the identified social, economic, policy, and psychological factors. First, the Johor State Government should
expand workplace wellness programs, such as integrating mandatory physical activity breaks, subsidized gym
memberships, and on-site nutrition counselling into daily routines. This could include redesigning office
spaces to encourage movement, like installing standing desks or creating dedicated exercise areas, to counter
sedentary workplace culture and lack of activity. Workshops and peer support groups should be organized to
promote healthy eating habits, focusing on cultural adaptations of traditional Malay diets such as lower-calorie
versions of nasi lemak using whole grains and lean proteins to mitigate peer influence and food preferences
toward high-calorie options.
Policies should aim to reduce barriers by partnering with local vendors to offer affordable, healthy food
options in government canteens, perhaps through subsidies or vouchers for fruits, vegetables, and nutritious
meals. Income-based incentives could be introduced to support lower-earning civil servants in accessing
healthier choices, addressing the cost disparities highlighted in the findings. On the policy front, the Johor
Sihat Penjawat Awam Program (version 2.0, launched in May 2025 with an MYR800,000 allocation and
targeting 5,000 participants until November 30, 2025) should be scaled up to achieve universal access. This
could include routine health screenings, obesity prevention education, and incentives such as rewards for
weight management milestones. Collaborations with local hospitals could extend to psychological support,
incorporating stress management sessions, mindfulness training, and counselling to tackle emotional eating
triggers.
Furthermore, community-level initiatives, such as focus group discussions and expert-led forums, are
recommended to foster dialogue on balancing modern lifestyles with societal expectations, enabling civil
servants to share strategies for overcoming obesity's root causes. Long-term monitoring through annual
surveys could evaluate program efficacy, with data informing iterative improvements. By implementing these
recommendations, Johor can cultivate a healthier civil service, enhancing productivity, reducing healthcare
costs, and improving service delivery to the community.
Limitation
This study provides valuable qualitative insights into the factors contributing to obesity among Malay Muslim
civil servants in Johor, but it is not without limitations. The reliance on in-depth, semi-structured interviews
with a small sample of five informants, selected via purposive and snowball sampling, limits generalizability to
the broader civil servant population, as personal narratives may not fully represent diverse experiences across
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 340
www.rsisinternational.org
demographics, such as varying age groups, ethnicities beyond Malays, or rural versus urban settings. The
qualitative nature of the research, while rich in depth, lacks quantitative data to measure obesity prevalence,
correlations between factors, or statistical significance, potentially overlooking measurable trends like exact
body mass index distributions or longitudinal changes. Additionally, the study’s focus on Malay Muslim civil
servants introduces selection bias, excluding non-Muslim perspectives that could offer comparative insights.
Future research should employ mixed-methods approaches, larger samples, and longitudinal designs to
overcome these constraints and provide a more comprehensive understanding of obesity dynamics in Johor’s
public sector.
REFERENCES
1. Ananthapavan, J., Peterson, A., & Sacks, G. (2018). Paying people to lose weight: The effectiveness of
financial incentives provided by health insurers for the prevention and management of overweight and
obesitya systematic review. Obesity reviews, 19(5), 605-613.
2. Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches.
Third Edition. United States of America: SAGE Publications, Inc.
3. Drewnowski, A., & Darmon, N. (2005). The economics of obesity: dietary energy density and energy
cost. The American journal of clinical nutrition, 82(1), 265S-273S.
4. Drewnowski, A. (2004). Obesity and the food environment: dietary energy density and diet costs.
American journal of preventive medicine, 27(3), 154-162.
5. Enright, G., & Redfern, J. (2016). Summary of the evidence for the role of incentives in health-related
behavior change: implications for addressing childhood obesity. Ann Public Health Res, 3, 1042.
6. Etikan, I., Musa, S. A., & Alkassim, R. S. (2015). Comparison of convenience sampling and purposive
sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4.
https://doi.org/10.11648/j.ajtas.20160501.11
7. Geboers, L., Djojosoeparto, S. K., Rongen, F. C., & Poelman, M. P. (2025). The role of the workplace
food environment in eating behaviours of employees at small and medium-sized enterprises: a
qualitative study in the Netherlands. BMC Public Health, 25(1), 1107.
8. Jeffery, R. W. (2012). Financial incentives and weight control. Preventive medicine, 55, S61-S67.
doi:10.1016/j.ypmed.2011.12.024.
9. Kunyahamu, M. S., Daud, A., & Jusoh, N. (2021). Obesity among health-care workers: which
occupations are at higher risk of being obese? International journal of environmental research and
public health, 18(8), 4381. https://doi.org/10.3390/ijerph18084381
10. Mahat, N., Ariff, F. T., & Raseli, S. S. (2022). Management of obesity using fuzzy analytic hierarchy
process. Jurnal Intelek, 17(1), 72-83.
11. Mognard, E., Naidoo, K., Laporte, C., Tibère, L., Alem, Y., Khusun, H., Februhartanty, J., Niiyama,
Y., Ueda, H., Dasgupta, A., Dupuy, A., Rochedy, A., Yuen, J. L., Ismail, M.N., Nair, P. K., Ragavan,
N.A. & Poulain, J-P. (2023). “Eating Out”, spatiality, temporality, and sociality. A database for China,
Indonesia, Japan, Malaysia, Singapore, and France. Frontiers in Nutrition, 10, 1-8.
12. National Institutes of Health, Ministry of Health Malaysia. (2020). National Health and Morbidity
Survey 2019. Technical Report Volume I. NCDs Non-Communicable Diseases: Risk Factors and
other Health Problems.
13. Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015).
Purposeful sampling for qualitative data collection and analysis in mixed-method implementation
research. Administration and policy in mental health and mental health services research, 42, 533-544.
https://doi.org/10.1007/s10488-013-0528-y
14. Pebriani, L., Frethernety, A., & Trinovita, E. (2022). Literature review: Effect of junk food
consumption on obesity. Jurnal Surya Medika (JSM), 8(2), 270-280.
15. Purnomo, W., Susanto, T., & Afandi, A. T. (2024). Studi literature pola makan dan pola aktivitas fisik
pada remaja dengan obesitas di Indonesia. (Literature study of diet and physical activity patterns in
adolescents with obesity in Indonesia). e-Journal Pustaka Ilmu Kesehatan, 12(1), 8-18.
16. Rampal, L., Rampal, S., Geok, L. K., Zain, A. M., Ooyub, S., Rahmat, R., Ghani, S. N., & Krishnan, J.
(2007). A national study on the prevalence of obesity among 16,127 Malaysians. Asia Pacific journal
of clinical nutrition, 16(3), 561-566.
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
Page 341
www.rsisinternational.org
17. Reviani, N., & Riany, Y. E. (2022). Establishing healthy eating habits during child development to
reduce the prevalence of obesity. Journal of Family Sciences, 7(2), 88-101.
18. Santos, L. d., Valença Neto, P. d. F., de Almeida, C. B., Coqueiro, R. d. S., Santos, D. d. A. T., Oliveira
Carneiro, J. A., Santana, P. d. S., Costa, E. L., Galvão, L. L., & Casotti, C. A. (2025). A combination of
insufficient physical activity and sedentary behavior associated with dynapenic abdominal obesity and
dynapenic obesity in older adults: A cross-sectional analysis. Obesities, 5(3), 57.
https://doi.org/10.3390/obesities5030057
19. Shen, S. (2023). How food causes obesity. Theoretical and Natural Science, 3, 745-750.
20. Taylor, S. J., Bogdan, R., & DeVault, M. (2016). Introduction to qualitative research methods: A
guidebook and resource (4th ed.). John Wiley & Sons Inc.
21. Ullah, S., Ghani, N. A., & Baig, A. A. (2018). A systematic review of determinant-social factors
related to obesity among Malays obese community in Malaysia. International Journal of Academic
Research in Business and Social Sciences, 8(5), 61-73. http://dx.doi.org/10.6007/IJARBSS/v8-i5/4085