International Journal of Engineering Business
and Social Science
Vol. 1 No. 05, June 2023, pages: 419-426
e-ISSN: 2980-4108, p-ISSN: 2980-4272
https://ijebss.ph/index.php/ijebss
340
The Relationship between Physical Activity and Other Factors
During a Pandemic Covid-19 with Menstrual Cycles in FKM UI
Students in 2022
Azka Aghnianuri
1
, Sandra Fikawati
2
, Lulu Kultsum Athiya Adha
3
1,2,3
Fakultas Kesehatan Masyarakat, Universitas Indonesia
Email: aghn[email protected]m
Keywords
Abstract
Menstrual Cycles,
Physical Activity, Stress
Levels, Lecture Stressors,
Eating Patterns, College
Student
The menstrual cycle is the time from the first day of menstruation until the arrival of the
next menstrual period. WHO 2018 states that 80% of women in the world experience
irregular menstruation. According to Basic Health Research Data (Kemenkes, 2018)
where as many as 11.7% of adolescents in Indonesia experience irregular menstruation.
This study aims to determine physical activity, stress levels and other factors during the
Covid-19 pandemic with menstrual cycles in final year students S1 Regular FKM UI in
2022. This study is a quantitative study with a cross-sectional study design. Data
collection was done by distributing online questionnaires using Google Forms. The
independent variables used in this study were physical activity, stress levels, lecture
stressors, age at menarche, diet, deviant eating behavior, sleep quality, and exposure to
cigarette smoke. The results showed that (60.4%) of female students experienced
irregular menstrual cycles. The factors that affect the menstrual cycle in final year
undergraduate students of FKM UI Regular in 2022 are stress levels and diet as
confounding variables. Diet is the most dominant factor affecting the menstrual cycle. It
is recommended that female students pay more attention to diet because diet is the
dominant factor that affects the menstrual cycle.
© 2023 by the authors. Submitted
for possible open access publication
under the terms and conditions of the Creative Commons Attribution (CC BY SA)
license (https://creativecommons.org/licenses/by-sa/4.0/).
1. Introduction
Menstrual cycles that occur outside of normal circumstances or in other words are not within menstrual pattern
intervals with a span of less than 21 days or more than 35 days with normal uterine bleeding for less than 3 or more
than 7 days are called irregular menstrual cycles (Hilmiati & Saparwati, 2019). Irregular menstrual cycle disorders that
are continuous and not treated immediately need to be watched out for because they can indicate a disease that can
occur such as affecting fertility levels, problems with ovulation or infertility, uterine polyps, uterine cancer, polycystic
ovary syndrome, ovarian cysts, and anemia (Lestari & Amal, 2019).
WHO 2018 stated that 80% of women in the world experience irregular menstruation. According to Basic
Health Research Data (Ministry of Health RI, 2018) where as many as 11.7% of adolescents in Indonesia experience
irregular menstruation and as many as 14.9% of adolescents in urban areas in Indonesia experience menstrual
IJEBSS e-ISSN: 2980-4108 p-ISSN: 2980-4272 420
IJEBSS Vol. 1 No. 05, June 2023, pages: 419-426
irregularities, where irregular presentations reach 15.8% in the DIY region (Purwati & Muslikhah, 2020). The change
in situation that occurred due to the Coronavirus Disease 2019 (COVID-19) pandemic caused by the Severe Acute
Respiratory Syndrome Coronavirus 2 (SARS CoV-2) resulted in students having to adapt to the latest learning system.
With the Public Health Emergency regulations (KKM), the government stipulates health quarantine and physical
distancing. In implementing health quarantine in the regions, Indonesia adopts a policy to implement Large-Scale
Social Restrictions (PSBB) (Ministry of Health, 2020). The impact of changes experienced by students during the
Covid-19 pandemic can be at risk of causing mental health problems. The mental health problems that are increasing
during this pandemic are stress, anxiety, and depression (Fauziyyah et al., 2021).
Stress and physical activity are one of the factors that cause menstrual cycle irregularities. Stress can trigger
the release of the hormone cortisol, where the hormone cortisol is used as a benchmark to see a person's degree of
stress. The hormone cortisol is regulated by the brain, the hypothalamus and the pituitary gland, with the start of the
activity of the hypothalamus and pituitary which secrete Follicle Stimulating Hormone (FSH) and Luteinizing
Hormone (LH), as well as the ovarian stimulus process which will produce estrogen (Lee et al., 2016). If there is a
disturbance in FSH, it can affect the production of estrogen and progesterone which causes menstrual cycle
irregularities (Sirait, 2019). Meanwhile, other factors that can cause menstrual cycle irregularities are physical activity.
Physical activity is defined as any physical movement produced by skeletal muscles that requires energy expenditure
(WHO, 2018).
2. Materials and Methods
The research design used a cross-sectional design. The dependent variable studied was the menstrual cycle,
while the independent variables consisted of physical activity, stress levels, course stressors, age at menarche, eating
patterns, eating disorders, sleep quality, and exposure to cigarette smoke. The population in this study were all active
female students at the Faculty of Public Health, University of Indonesia. The number of research samples was taken
using the Lemeshow formula with a total sample of 154 respondents. The sampling technique used in this research is
the accidental sampling technique. The instrument used to measure the primary data needed in this study was a self-
administered questionnaire. Data analysis was carried out univariately, bivariate using the chi-square test to prove the
existence of a significant relationship between the two variables, and multivariate using multiple logistic regression
tests to determine which independent variable is the dominant factor in the studied variable.
3. Results and Discussions
Univariate analysis
The univariate analysis included all variables used, which consisted of menstrual cycles, age at menarche,
physical activity, stress levels, course stressors, eating patterns, eating disorder behavior, sleep quality, and exposure
to cigarette smoke.
Table 1. Description of the Distribution of Respondents Based on Variables
Variable
Frequency
Percent (%)
Age
20 years
2
1.3
21 years
66
42.9
22 years
75
48.7
23 years
11
7.1
Total
154
100
Menstrual Cycle
Regular
93
60.4
Irregular
61
39.6
Total
154
100
421 e-ISSN: 2980-4108 p-ISSN: 2980-4272 IJEBSS
IJEBSS Vol. 1 No. 05, June 2023, pages: 419-426
Menstrual Cycle
Irregularities
Polimenorrhea
28
18.2
Oligomenorrhea
55
35.7
Polimenorrhea and
Oligomenorrhea
10
6.5
Total
93
60.4
Menarche age
Abnormal
43
27.9
Normal
111
72.1
Total
154
100
Physical Activity
Light
89
57.8
Heavy
65
42.2
Total
154
100
Stress Level
Heavy
109
70.8
Light
45
29.2
Total
154
100
Dietary habit
Not good
143
92.9
Good
11
7.1
Total
154
100
Deviant Eating
Behavior
Experiencing PMM
9
5.8
Not suffering from
PMM
145
94.2
Total
154
100
Sleep Quality
Bad
143
92.9
Good
11
7.1
Total
154
100
Cigarette Smoke
Exposure
Often
30
19.5
Seldom
124
80.5
Total
154
100
Source: Data Primer
Bivariate Analysis
The bivariate analysis used is testwho squares.Testwho squaresused to see the relationship between groups
of categorical variables. The independent variables in this study will be analyzed by testwho squaresnamely age of
menarche, physical activity, stress level, diet, deviant eating behavior, quality of sleep, and exposure to cigarette smoke
(Fitri, 2018).
IJEBSS e-ISSN: 2980-4108 p-ISSN: 2980-4272 422
IJEBSS Vol. 1 No. 05, June 2023, pages: 419-426
Table 2. Results of Bivariate Analysis
Variable
P-value
OR
Teratur
Tidak Teratur
N
%
N
%
Usia menarche
0.277
0.674 (0.330-1.373
Tidak normal
23
53.5
20
46.5
Normal
70
63
41
37
Total
93
60.4
61
39.6
Aktifitas Fisik
0.803
1.087 (0.565- 2.092)
Ringan
53
59.6
36
40.4
Berat
40
61.5
25
38.5
Total
93
60.4
61
39.6
Tingkat stres
0.027*
2.224 (1.096- 4.511)
Berat
72
66.1
37
33.9
Ringan
21
46.7
24
53.3
Total
93
60.4
61
39.6
Pola Makan
0.031*
4.528 (1.151-17.814)
Kurang Baik
90
62.9
53
37.1
Baik
3
27.3
8
72.7
Total
93
60.4
61
39.6
PMM
0.321
0.503 (0.130- 1955)
Mengalami PMM
4
44.4
5
55.6
Tidak mengalami PMM
89
61.4
56
38.6
Total
93
60.4
61
39.6
Kualitas Tidur
0.300
1.920 (0.559- 6.593)
Buruk
88
61.5
55
38.5
Baik
5
45.5
6
54.5
Total
93
60.4
61
39.6
Paparan Asap Rokok
0.380
0.698 (0.312-1.558)
Sering
16
53.3
14
46.7
Jarang
77
62.1
47
37.9
Total
93
60.4
61
39.6
Multivariate Analysis
Multivariate analysis in this study was carried out using multiple logistic regression tests to determine the
most dominant factor influencing the pattern of the menstrual cycle.
Table 3. Multivariate Final Modeling
Variabel
B
S.E.
P-value
OR (95% CI)
Tingkat
stres
0.748
0.367
0.042
2.113
(1.029- 4.340)
Pola
makan
1.424
0.708
0.044
4.152
(1.036- 16.640)
Irregularities in the body's metabolic and hormonal systems in a woman can be characterized by short or long
menstrual cycles. The impact of an abnormal menstrual cycle is that it will be difficult for women to get pregnant or
423 e-ISSN: 2980-4108 p-ISSN: 2980-4272 IJEBSS
IJEBSS Vol. 1 No. 05, June 2023, pages: 419-426
infertile. In this study, it was found that some female students had an abnormal menarche age, namely 53.5%, while
respondents who had a normal menarche age with irregular menstrual cycles, namely 63%. The results of the statistical
test obtained p-value = 0.277, meaning that there is no significant relationship between the age of menarche and the
menstrual cycle in female students at the end of the regular undergraduate program at FKM UI in 2022 (Bavil et al.,
2016). This is because the respondents are aged 20-23 years, indicating that reproductive hormones respondents have
been perfectly formed so that the menstrual cycle becomes regular, generally two years after experiencing menarche.
However, this research is not in line with the research of (Karout et al., 2012) in Lebanon which states that there is a
significant difference between menstrual cycle irregularities and the age of menarche. The age of menarche can affect
the menstrual cycle during the first 2 to 4 years after menarche because there is a significant increase in weight, height,
and body fat so late menarche can cause anovulation. Menarche age can be associated with decreased secretion of
luteinizing hormone (LH) and/or increased frequency of anovulation caused by obesity-related hyperandrogenemia
and hyperinsulinemia (Dossus et al., 2012).
Physical activity is body movement carried out by skeletal muscles that result in energy expenditure.
Inadequate physical activity can cause irregular menstrual cycles because excess fat cells in the body will disrupt the
balance of menstrual hormones (Brown, 2016). The results of research conducted on regular undergraduate students
at FKM UI in 2022 found that 59.6% of respondents had light physical activity and experienced irregular menstrual
cycles and 61.5% of respondents had heavy physical activity and experienced irregular menstrual cycles. Based on the
results of the statistical test analysis, it was found that p-value = 0.803, meaning that there is no significant relationship
between physical activity and menstrual cycle patterns in female students at the end of the regular undergraduate
program at FKM UI in 2022. This is in line with research conducted by (Herlina, 2020) which stated that there is no
significant relationship between physical activity and menstrual cycle patterns. Strenuous physical activity can affect
reproductive hormones in women. Strenuous physical activity can cause disturbances in GnRH secretion due to
hypothalamic dysfunction due to fatigue. When carrying out strenuous physical activity, the body will experience an
energy deficit (hypermetabolic) which will suppress the menstrual cycle, inhibit GnRH, and reduce LH pulsatility
which can affect the menstrual cycle (Wade, 2004). Meanwhile, inadequate or light physical activity can cause irregular
menstrual cycles because excess fat cells in the body will disrupt the balance of menstrual hormones (Brown, 2016).
Stress is an individual's inability to overcome problems faced by emotional, spiritual, physical, and mental,
and can affect physical health (Ramdani et al., 2017). In this study, stress levels were categorized into mild stress and
severe stress which were seen based on scores from completing the Perceived Stress Scale questionnaire developed by
Cohen (1983). Something that can cause stress is called a stressor. Stressors that affect stress levels in FKM UI regular
undergraduate final-year students are environmental factors such as where to live which makes respondents feel
stressed. This stressor is experienced by almost all FKM UI Regular undergraduate female students in 2022, namely
107 people (69.5%) (Chen et al., 2000). Furthermore, problems that become stressors for most female students are
mental and physical health problems including autoimmune diseases, stomach ulcers, allergies, and vertigo which are
also stressors for some final year students of the FKM UI Regular Undergraduate Program in 2022, namely 100 people
(64.9%). In this study, it can also be seen that the description of respondents who have high-stress levels with irregular
menstrual cycles is higher than respondents who have mild stress levels with irregular menstrual cycles. As many as
66.1% of respondents stated that they had high levels of stress with irregular menstrual cycles, and 46.7% of
respondents experienced mild levels of stress with irregular menstrual cycles. Statistical test results also showed that
there was a significant relationship between stress levels and menstrual cycle patterns (p-value 0.027).
Stress is one of the factors that can cause menstrual cycle irregularities. When women experience stress, their
menstrual cycles can be longer or shorter than their normal menstrual cycle. This is caused by the hormone cortisol
which is regulated in the brain and pituitary gland and causes hormonal imbalances, including one of which is
reproductive hormones which eventually cause menstrual cycle irregularities (Achmad, et al., 2021). Hormonal
imbalances including reproductive hormones cause menstrual cycle irregularities due to the cortisol hormone
stimulated by the HPA (hypothalamus pituitary adrenal cortex) axis due to stress ((Isnaeni, 2010); (Yudita et al., 2017).
Diet is the amount or amount of food consumed by a person or group that aims to meet their needs. Diet can
be influenced by several things such as pleasure habits, culture, religion, economy, environment, and so on (Herlina,
2020). In a study conducted on regular undergraduate students at FKM UI in 2022, it was found that there were more
respondents who had a poor diet compared to respondents who had a good diet. The results of a bivariate analysis
conducted on regular undergraduate students at FKM UI in 2022 showed that 62.9% of respondents had a poor diet
and irregular menstrual cycle patterns, and 27.3% had a good diet with irregular menstrual cycle patterns. Based on
the results of the statistical test analysis, it was obtained p-value = 0.031, meaning that there was a significant
relationship between diet and menstrual cycle patterns in female students at the end of the regular undergraduate
IJEBSS e-ISSN: 2980-4108 p-ISSN: 2980-4272 424
IJEBSS Vol. 1 No. 05, June 2023, pages: 419-426
program at FKM UI in 2022. The results of the analysis obtained OR = 4.528, meaning that female students who have
irregular eating patterns are 4.5 times more likely to experience irregular menstrual cycle patterns. Diet is also known
as the most dominant factor influencing the menstrual cycle in FKM UI regular undergraduate students in 2022.
According to Purwanti's research (2017) breakfast is good for reducing obesity rates because someone who
skips breakfast in the morning is more likely to feel hungry quickly so he will eat large portions when meeting food.
Whereas someone who has breakfast in the morning, he will get metabolic stability and tends not to consume many
calories throughout the day. In someone who is obese, there will be leptin resistance. Leptin resistance can cause the
hypothalamus to be disrupted in releasing GnRH, causing irregular menstrual cycles (Strauss & Barbieri, 2013). The
results of this study are in line with research conducted on female students at the Faculty of Dentistry, University of
North Sumatra which shows that there is a significant relationship between diet and menstrual cycle patterns (Ahmed,
2017). Deviant eating behavior is a series that starts with mild body dissatisfaction to serious eating disorders (Brown,
2016). In this study, deviant eating behavior was divided into 2 categories, namely not experiencing PPM and
experiencing PPM. The questionnaire used in this study used the modified Eating Disorder Diagnostic Scale
questionnaire developed by Stice & Rizvi in 2000.
In a study conducted on regular undergraduate students at FKM UI in 2022, it was found that 94.2% of
respondents did not experience deviant eating behaviors, and another 5.8% experienced deviant eating behaviors such
as binge eating disorders. The results of a bivariate analysis conducted on regular undergraduate students at FKM UI
in 2022 showed that 44.4% of respondents experienced deviant eating behaviors and irregular menstrual cycle patterns,
and 61.4% of respondents did not experience deviant eating behaviors with irregular menstrual cycle patterns. Based
on the results of the statistical test analysis, it was obtained that p-value = 0.321, meaning that there is no significant
relationship between deviant eating behavior and menstrual cycle patterns in female FKM UI final-level regular
undergraduate students in 2022.
This research is in line with Hikmah's research (2016), which states that there is no significant relationship
between deviant eating behavior and the menstrual cycle in female students of SMAN 44 Jakarta, with a p-value of
0.136. However, the results of this study are not in line with the research of (Eittah, 2014) which states that there is a
significant difference between eating behavior and the incidence of oligomenorrhea. This study was conducted on 300
adolescents aged 17-22 years at Menoufia University, Egypt. The difference in the results of this study with that of
(Eittah, 2014) occurred due to differences in the number of samples used.
This study used the Pittsburgh Sleep Quality Index (PSQI) to measure the sleep quality of female students at
the end of the regular undergraduate program at FKM UI in 2022. The sleep quality of female students is seen from
various aspects, including subjective sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbances,
use of sleeping pills, and daytime dysfunction. Sleep disorders often occur in students who are working on their thesis,
usually due to stress factors. Demands for academic and non-academic values trigger feelings of discomfort for
students (Sulana et al., 2020).
The results showed that female students with poor sleep quality and experienced irregular menstrual cycles
were more numerous than female students who had good sleep quality, namely 61.5% of respondents had poor sleep
quality with irregular menstrual cycle patterns, and 45.5 % had good sleep quality with irregular menstrual cycle
patterns. Female students with poor sleep quality had a 1.9 times higher chance of experiencing irregular menstrual
cycle patterns than female students who had good sleep quality. However, statistically there is no relationship between
sleep quality and the menstrual cycle (p-value 0.300).
The factor that dominates the reason for the lack of quality sleep in female students is because female students
cannot fall asleep within 30 minutes with a percentage of 31.2%, followed by the frequent awakening of respondents
at night or early in the morning with a percentage of 21.4%, and respondents often experience aches or pains in their
bodies with the percentage of 16.9%. The results of this study are in line with research by Deviliawati and Sayati
(2021) which was conducted on high school students in Banyuasin, which showed that there was no relationship
between sleep quality and the menstrual cycle (p-value 1,000). Research on young women in South Tangerang also
showed that there was no significant relationship between sleep quality and the menstrual cycle (p-value 0.090)
(Fikawati et al., 2016). Research Damayanti, et al. (2022), also showed that sleep quality did not have a significant
relationship with the menstrual cycle of Harapan Bangsa University female students during the Covid-19 pandemic.
The high percentage of female students with poor sleep quality may be due to the Covid-19 pandemic, which has
changed all aspects of society. Among female students, online learning from home has led to increased use of electronic
devices. This condition is one of the causes of decreased sleep quality in female students (Syahrul et al., 2022). In
addition, a study by Silva et al., (2022) found that almost half of the teenagers studied (47.2%) were more active at
425 e-ISSN: 2980-4108 p-ISSN: 2980-4272 IJEBSS
IJEBSS Vol. 1 No. 05, June 2023, pages: 419-426
night and 72.2% of these teenagers had poor sleep quality which was also measured using the PSQI instrument
(Maharani et al., 2023).
In the study of exposure to cigarette smoke, there are 3 main places studied, namely exposure to cigarette
smoke at home, in public places, and on public transportation. Based on the results of the study, it was found that
exposure scores to cigarette smoke at home, in public places, and in public transportation were combined and divided
into 2 categories. It can be seen that 80.5% of respondents were rarely exposed to cigarette smoke, while the other
19.5% said that they were often exposed to cigarette smoke. The results of the research on exposure to cigarette smoke
and menstrual cycles in female students at the end of the regular undergraduate program of FKM UI in 2022, it is
known that respondents who are rarely exposed to more cigarette smoke and experience irregular menstrual cycles are
higher than respondents who are often exposed to cigarette smoke, with a percentage of 62.1%. rarely exposed to
cigarette smoke and experience irregular menstrual cycle patterns.
Meanwhile, the respondents who were frequently exposed to cigarette smoke and experienced irregular
menstrual cycle patterns were 53.3%. Based on the results of the statistical test analysis, it was obtained that p-value
= 0.380, meaning that there was no significant relationship between exposure to cigarette smoke and the pattern of the
menstrual cycle in regular undergraduate students at FKM UI 2022. According to Lestari's research (2010), women
who have smoking habits can have menstrual cycles that are not normal or not smooth, pain or cramps during
menstruation, and the risk of sudden fetal death (Sudden Infant Death Syndrome) in pregnant women who smoke, skin
becomes dull, hair is dry, and causes bad breath. The adverse effects on health that can occur in someone who consumes
nicotine are increasing the risk of cancer in the oral cavity, the occurrence of lung cancer, and other cancers that can
attack the brain and heart, as well as chronic disorders and lung disease, pregnancy and fetal complications, as well as
various other adverse conditions (American Psychiatric Association, 2000).
4. Conclusion
The results showed that (60.4%) female students experienced irregular menstrual cycles. Factors that affect the
menstrual cycle in female students at the end of the Regular Undergraduate Program FKM UI in 2022 are stress levels
and eating patterns as confounding variables. Diet is the most dominant factor affecting the menstrual cycle. It is
recommended that female students pay more attention to diet because diet is the dominant factor that affects the
menstrual cycle.
Thank you to all parties who are willing to be respondents in this research and the Faculty of Public Health FKM
UI in facilitating the research.
5. References
Bavil, D. A., Dolatian, M., Mahmoodi, Z., & Baghban, A. A. (2016). Comparison of lifestyles of young women with
and without primary dysmenorrhea. Electronic Physician, 8(3), 2107.
Brown, J. E. (2016). Nutrition through the life cycle. Cengage Learning.
Chen, C., Cho, S.-I., Damokosh, A. I., Chen, D., Li, G., Wang, X., & Xu, X. (2000). Prospective study of exposure
to environmental tobacco smoke and dysmenorrhea. Environmental Health Perspectives, 108(11), 10191022.
Dossus, L., Kvaskoff, M., Bijon, A., Fervers, B., Boutron-Ruault, M.-C., Mesrine, S., & Clavel-Chapelon, F. (2012).
Determinants of age at menarche and time to menstrual cycle regularity in the French E3N cohort. Annals of
Epidemiology, 22(10), 723730.
Eittah, H. F. A. (2014). Effect of breakfast skipping on young females’ menstruation. Health Science Journal, 8(4),
469.
Fauziyyah, R., Awinda, R. C., & Besral, B. (2021). Dampak pembelajaran jarak jauh terhadap tingkat stres dan
kecemasan mahasiswa selama pandemi COVID-19. Jurnal Biostatistik, Kependudukan, Dan Informatika
Kesehatan, 1(2), 113123.
Fikawati, S., Syafiq, A., & Veratamala, A. (2016). Gizi anak dan remaja.
Fitri, R. P. (2018). Pengaruh Teman Sebaya, Pengetahuan, Media Masa Terhadap Perilaku Diet Mahasiwi Stikes
Payung Negeri Pekanbaru. Jurnal Endurance: Kajian Ilmiah Problema Kesehatan, 3(1), 162168.
Herlina, H. (2020). Hubungan Stres Dengan Pola Siklus Menstruasi Pada Remaja Putri Di Lembaga Kesejahteraan
Sosial Anak. Http://Journal. Unigres. Ac. Id/Index. Php/JNC/Article/View/1119, 11(2), 195201.
IJEBSS e-ISSN: 2980-4108 p-ISSN: 2980-4272 426
IJEBSS Vol. 1 No. 05, June 2023, pages: 419-426
Hilmiati, H., & Saparwati, M. (2019). Hubungan Tingkat Stres Dengan Lama Menstruasi Pada Mahasiswi. Jurnal
Keperawatan Jiwa, 4(2), 9196.
Isnaeni, D. N. (2010). Hubungan antara stres dengan pola menstruasi pada mahasiswa d IV kebidanan jalur reguler
UniversitasS Maret Surakarta.
Karout, N., Hawai, S. M., & Altuwaijri, S. (2012). Prevalence and pattern of menstrual disorders among Lebanese
nursing students. EMHJ-Eastern Mediterranean Health Journal, 18 (4), 346-352, 2012.
Kementerian Kesehatan RI, Hasil utama Riskesdas 2018, Jakarta: Badan Penelitian dan Pengembangan Kesehatan,
Kementerian Kesehatan Republik Indonesia; 2018.
Kementerian Kesehatan RI, Pedoman Pencegahan dan Pengendalian Coronavirus Disease (COVID-19) Revisi Ke-3,
Jakarta: Badan Penelitian dan Pengembangan Kesehatan, Kementerian Kesehatan Republik Indonesia; 2020.
Kementerian Pendidikan dan Kebudayaan Republik Indonesia, Surat Edaran Mendikbud Nomor
36962/MPK,A/HK/2020 tentang Pembelajaran secara Daring dan Bekerja dari Rumah dalam Rangka
Pencegahan Penyebaran Coronavirus Disease (COVID-19), Kementerian Pendidikan dan Kebudayaan
Republik Indonesia, Kementerian Pendidikan dan Kebudayaan Republik Indonesia; 2020.
Lee, P. C., Ahmed, F., Pathirana, T., & Papier, K. (2016). Factors associated with stress among first-year
undergraduate students attending an Australian university. Food and Nutrition Report, 1(3).
Lestari, M., & Amal, F. (2019). Faktor-Faktor Yang Berhubungan Dengan Siklus Haid Tidak Teratur Pada
Mahasiswi Kebidanan Poltekkes Kemenkes Jayapura. Jurnal Sehat Mandiri, 14(2), 5763.
Maharani, D., Sari, S. M., & Arsyad, M. (2023). Epidemiological Description of Covid-19 for the January-July 2021
Period at the Cempaka Putih Health Center. Jurnal Indonesia Sosial Sains, 4(02), 106112.
Purwati, Y., & Muslikhah, A. (2020). Gangguan Siklus Menstruasi Akibat Aktivitas Fisik dan Kecemasan. Jurnal
Kebidanan Dan Keperawatan ‘Aisyiyah, 6.
Ramdani, H. T., Rilla, E. V., & Yuningsih, W. (2017). Hubungan tingkat stres dengan kejadian hipertensi pada
penderita hipertensi. Jurnal Keperawatan’Aisyiyah, 4(1), 3745.
Sirait, S. H. (2019). HUBUNGAN STRESS DAN BERAT BADAN DENGAN SIKLUS MENSTRUASI
MAHASISWI TINGKAT I PROGRAM STUDI KEBIDANAN PEMATANGSIANTAR. Jurnal Health
Reproductive, 4(2), 7279.
Strauss, J. F., & Barbieri, R. L. (2013). Yen & Jaffe’s Reproductive Endocrinology: Physiology. Pathophysiology,
and Clinical Management (Expert Consult-Online and Print), 7e (Philadelphia, PA: Saunders).
Sulana, I. O. P., Sekeon, S. A. S., & Mantjoro, E. M. (2020). Hubungan tingkat stres dengan kualitas tidur
mahasiswa tingkat akhir fakultas kesehatan masyarakat universitas sam ratulangi. KESMAS: Jurnal Kesehatan
Masyarakat Universitas Sam Ratulangi, 9(7).
Yudita, N. A., Yanis, A., & Iryani, D. (2017). Hubungan antara Stres dengan Pola Siklus Menstruasi Mahasiswi
Fakultas Kedokteran Universitas Andalas. Jurnal Kesehatan Andalas, 6(2), 299304.
WHO, Physical Activity, In Guide to Community Preventive service; 2010