INTERAKSI PENGARUH FAKTOR DEMOGRAFIS, BIOLOGIS, KELUARGA DAN LINGKUNGAN KRONOBIOLOGIS PADA TINGKAT DEPRESI DAN ANSIETAS (SEBUAH STUDI OBSERVASIONAL DI INDONESIA)

Authors

  • Yusuf Alam Romadhon Universitas Muhammadiyah Surakarta
  • Retno Sintowati Universitas Muhammadiyah Surakarta

Keywords:

depresi, kecemasan, factor risiko, kronobiologi, keluarga

Abstract

Latar Belakang: Gangguan depresi dan kecemasan merupakan permasalahan kesehatan mental di berbagai tingkat pelayanan kesehatan. Depresi dan kecemasan apabila tidak dikelola dengan baik, lebih lanjut berdampak pada berbagai penyakit degeneratif katastrofik menjadi beban utama masalah kesehatan di dunia dan di Indonesia. Analisis lebih komprehensif factor risiko kedua gangguan mental tersebut masih terbatas di Indonesia. Peran factor lingkungan maupun individual berkaitan aspek kronobiologis juga merupakan aspek yang masih terbatas kajiannya dalam konteks Indonesia sebagai factor risiko gangguan depresi dan kecemasan. Tujuan Penelitian: menganalisis factor risiko demografis, biologis, keluarga, dan lingkungan kronobiologis terhadap tingkat depresi dan ansietas pada populasi orang Indonesia. Metode: Studi observasional analitik berdesain potong lintang pada orang Indonesia dari berbagai wilayah, dengan menganalisis aspek demografis, biologis, keluarga, dan lingkungan terkait wilayah waktu. Responden direkrut dengan menggunakan broadcasting link google formulir ke berbagai jejaring media sosial seperti Whatsapp, Twitter, Facebook, Line dan Blogger. Kuesioner yang dibagikan berisi angket demografis (usia, jenis kelamin, status pernikahan, pendidikan formal, pendapatan keluarga), factor biologis (berat badan [kg], tinggi badan [cm]), factor perilaku (merokok, jam tidur – bangun di hari kerja dan libur), factor psikiatari (depresi dan cemas dengan menggunakan kuesioner DASS 21), factor keluarga (APGAR Family, pencari nafkah, perawat, pembuat keputusan utama dalam keluarga), dan factor kronobiologi lingkungan (jarak waktu fajar dan matahari terbit lokal [dihitung dari jadwal sholat lokal] dengan jam kerja). Hasil: didapatkan 795 responden secara sukarela mengikuti penelitian ini. Hasil analisis multivariat didapatkan factor yang berasosiasi secara signifikan pada depresi secara berurutan [odds ratio (p)] meliputi: pendapatan <= Rp. 2.500.000 [2.426(0.013)], pembuat keputusan selain ayah saja [2.449[0.015]), dan APGAR family disfungsional [5.576(0.000)]. Pada kecemasan didapatkan usia < 30 tahun [2.715[0.050]), perempuan [2.020[0.013]), pembuat keputusan selain ayah saja [1.901(0.014)], APGAR Family disfungsional [3.447(0.000), jarak waktu terbit lokal – jam kerja <= 2 jam [3.104(0.005)] merupakan faktor risiko yang secara statistik signifikan. Kesimpulan: tingkat depresi dipengaruhi oleh tingkat pendapatan, pembuat keputusan utama dalam keluarga, dan fungsionalitas keluarga; tingkat kecemasan dipengaruhi oleh usia, jenis kelamin, pembuat keputusan utama dalam keluarga, fungsionalitas keluarga, dan jarak waktu matahari terbit lokal – jam kerja.

References

[1]. Gbd. Global burden of 369 diseases
and injuries in 204 countries and
territories , 1990 – 2019 : a systematic
analysis for the Global Burden of
Disease Study 2019. Lancet.
2020;396:1204–22.
[2]. Hyland P, Shevlin M, McBride O,
Murphy J, Karatzias T, Bentall RP, et
al. Anxiety and depression in the
Republic of Ireland during the COVID-
19 pandemic. Acta Psychiatr Scand.
2020;142(3):249–56.
[3]. Shevlin M, McBride O, Murphy J,
Miller JG, Hartman TK, Levita L, et al.
Anxiety, depression, traumatic stress
and COVID-19-related anxiety in the
UK general population during the
COVID-19 pandemic. BJPsych Open.
2020;6(6):1–9.
[4]. van der Velden PG, Contino C, Das M,
van Loon P, Bosmans MWG. Anxiety
and depression symptoms, and lack of
emotional support among the general
population before and during the
COVID-19 pandemic. A prospective
national study on prevalence and risk
factors. J Affect Disord [Internet].
2020;277(April):540–8. Available
from:
https://doi.org/10.1016/j.jad.2020.08.02
6
[5]. Zubayer A Al, Rahman ME, Islam MB,
Babu SZD, Rahman QM, Bhuiyan
MRAM, et al. Psychological states of
Bangladeshi people four months after
the COVID-19 pandemic: An online
survey. Heliyon [Internet].
2020;6(9):e05057. Available from:
https://doi.org/10.1016/j.heliyon.2020.e
05057
[6]. Chen J, Liu X, Wang D, Jin Y, He M,
Ma Y, et al. Risk factors for depression
and anxiety in healthcare workers
deployed during the COVID-19
outbreak in China. Soc Psychiatry
Psychiatr Epidemiol [Internet].
2021;56(1):47–55. Available from:
https://doi.org/10.1007/s00127-020-
01954-1
[7]. Yang M, Ma F, Lan B, Cai J, Sun X,
Xu B. Validity of distress thermometer
for screening of anxiety and depression
in family caregivers of Chinese breast
cancer patients receiving postoperative
chemotherapy. Chinese J Cancer Res. 2020;32(4):476–84.
[8]. KemenkesRI. Laporan Nasional
Riskesdas 2018. Vol. 3, Lembaga
Penerbit Badan Penelitian dan
Pengembangan Kesehatan (LPB. 2019.
[9]. Megatsari H, Laksono AD, Ibad M,
Herwanto YT, Sarweni KP, Geno RAP,
et al. The community psychosocial
burden during the COVID-19
pandemic in Indonesia. Heliyon
[Internet]. 2020;6(10):e05136.
Available from:
https://doi.org/10.1016/j.heliyon.2020.e
05136
[10]. Jimenez Carrillo M, León Garciá M,
Vidal N, Bermúdez K, De Vos P.
Comprehensive primary health care and
non-communicable diseases
management: A case study of El
Salvador. Int J Equity Health.
2020;19(1):1–17.
[11]. Li H, Kilgallen AB, Münzel T, Wolf E,
Lecour S, Schulz R, et al. Influence of
mental stress and environmental toxins
on circadian clocks: Implications for
redox regulation of the heart and
cardioprotection. Br J Pharmacol.
2020;177(23):5393–412.
[12]. Guerrera CS, Furneri G, Grasso M,
Caruso G, Castellano S, Drago F, et al.
Antidepressant Drugs and Physical
Activity: A Possible Synergism in the
Treatment of Major Depression? Front
Psychol. 2020;11(May):1–9.
[13]. Yamada M, Hapsari ED, Matsuo H.
Behaviors toward noncommunicable
diseases prevention and their
relationship with physical health status
among community-dwelling,
middleaged and older women in
Indonesia. Int J Environ Res Public
Health. 2020;17(7).
[14]. Kemenkes RI. Profil Kesehatan
Indonesia 2018 [Indonesia Health
Profile 2018] [Internet]. 2019. 207 p.
Available from:
http://www.depkes.go.id/resources/dow
nload/pusdatin/profil-kesehatanindonesia/
Data-dan-Informasi_Profil-
Kesehatan-Indonesia-2018.pdf
[15]. Mastura K, Mohd K. Circadian
Rhythmicity and Health : the Islamic
Perspective. In: Proceedings of the
6TH International Prophetic Heritage
Conference (SWAN 2018). 2018. p. 2–
3.
[16]. Mamun MA, Naher S, Moonajilin MS,
Jobayar AM, Rayhan I, Kircaburun K,
et al. Depression literacy and awareness
programs among Bangladeshi students:
An online survey. Heliyon. 2020;6(9).
[17]. Conti CL, Borçoi AR, Almança CCJ,
Barbosa WM, Archanjo AB, de Assis
Pinheiro J, et al. Factors Associated
with Depressive Symptoms Among
Rural Residents from Remote Areas.
Community Ment Health J [Internet].
2020;56(7):1292–7. Available from:
https://doi.org/10.1007/s10597-020-
00637-0
[18]. Rodríguez-Rey R, Garrido-Hernansaiz
H, Collado S. Psychological Impact
and Associated Factors During the
Initial Stage of the Coronavirus
(COVID-19) Pandemic Among the
General Population in Spain. Front
Psychol. 2020;11(June).
[19]. Ripon RK, Mim SS, Puente AE,
Hossain S, Babor MMH, Sohan SA, et
al. COVID-19: psychological effects on
a COVID-19 quarantined population in
Bangladesh. Heliyon [Internet].
2020;6(11):e05481. Available from:
https://doi.org/10.1016/j.heliyon.2020.e
05481
[20]. Özdin S, Bayrak Özdin ?. Levels and
predictors of anxiety, depression and
health anxiety during COVID-19
pandemic in Turkish society: The
importance of gender. Int J Soc
Psychiatry. 2020;66(5):504–11.
[21]. Zhu J, Sun L, Zhang L, Wang H, Fan
A, Yang B, et al. Prevalence and
Influencing Factors of Anxiety and
Depression Symptoms in the First-Line
Medical Staff Fighting Against
COVID-19 in Gansu. Front Psychiatry.
2020;11(April):1–6.
[22]. Bendau A, Petzold MB, Pyrkosch L,
Maricic LM, Betzler F, Rogoll J, et al.
Associations between COVID?19
related media consumption and
symptoms of anxiety, depression and
COVID?19 related fear in the general population in Germany. Eur Arch
Psychiatry Clin Neurosci [Internet].
2020;July 20th. Available from:
https://doi.org/10.1007/s00406-020-
01171-6%0AORIGINAL
PAPER%0AAssociations
[23]. Landi G, Pakenham KI, Boccolini G,
Grandi S, Tossani E. Health Anxiety
and Mental Health Outcome During
COVID-19 Lockdown in Italy: The
Mediating and Moderating Roles of
Psychological Flexibility. Front
Psychol. 2020;11(August):1–14.
[24]. Zhou Q, Hu Z, Bian G, Yu H, Li X, Lu
Y, et al. Mental health and
psychosocial function of general
population during the COVID?19
epidemic in China. Clin Transl Med.
2020;10(2):1–5.
[25]. Collazzoni A, Stratta P, Pacitti F, Rossi
A, Santarelli V, Bustini M, et al.
Resilience as a Mediator Between
Interpersonal Risk Factors and
Hopelessness in Depression. Front
Psychiatry. 2020;11(February):1–7.

Downloads

Published

2021-05-27

How to Cite

Romadhon, Y. A., & Sintowati, R. (2021). INTERAKSI PENGARUH FAKTOR DEMOGRAFIS, BIOLOGIS, KELUARGA DAN LINGKUNGAN KRONOBIOLOGIS PADA TINGKAT DEPRESI DAN ANSIETAS (SEBUAH STUDI OBSERVASIONAL DI INDONESIA). Prosiding University Research Colloquium, 297–306. Retrieved from https://repository.urecol.org/index.php/proceeding/article/view/1412