http://e-journal.unair.ac.id/JNERS 67 © 2022 Jurnal Ners. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). Volume 17, Issue 1, April 2022, p. 67-73 http://dx.doi.org/10.20473/jn.v17i1.33885 ORIGINAL ARTICLE OPEN ACCESS Pandemic in Indonesian older people: The implication for sleep deprivation, loss of appetite, and psychosomatic complaints Susiana Nugraha 1,* , Asyifa Robiatul Adawiyah 1 , Yuna Trisuci Aprilia 1 , Lisna Agustina 2, Tresna Putri Asih Handayani 3, Tri Budi W Rahardjo 1 1 Faculty of Health Sciences, Universitas Respati, Indonesia 2 Faculty of Nursing Ichsan Medical Centre, (IMC) Bintaro, School of Health Sciences, Banten, Indonesia 3 Master Student, Faculty of Health Sciences, Universitas Respati, Indonesia *Correspondence: Susiana Nugraha. Address: Bambu Apus I Street No.3 Cipayung, East Jakarta, Indonesia. Email: susiana.nugraha@urindo.ac.id Responsible Editor: Rizki Fitryasari Received: 22 February 2022 ○ Revised: 27 April 2022 ○ Accepted: 28 April 2022 ABSTRACT Introduction: During the COVID-19 pandemic, many individuals were concerned about being infected. Meanwhile, the older people felt isolated due to the detrimental effect on their mental and physical health. Therefore, this study aimed to identify the mental health issues suffered by the older people during the COVID-19 pandemic, the implication for sleep deprivation, loss of appetite, and psychosomatic complaints. Methods: This was a descriptive-analytic study using a cross-sectional approach to find the mental health impact of the COVID-19 pandemic. The population of this study was older people (those aged ≥60 years) living in urban areas in West Java and Jakarta. The sample size was measured with the Lemeshow formula using a 95% confidence interval. A total of 259 older people participated in this study in cluster random sampling selection. Questionnaires were distributed to study participants consisting of sociodemographic characteristics, general anxiety disorder, history of chronic illness, COVID-19 related psychological concern, self-reported losing appetite, self-reported sleep deprivation and psychosomatic assessment. Statistical analysis used descriptive and logistic regression analysis. Results: The average age of study participants is 65.3 years old (SD ± 6.8; min-max = 60 to 89 years old). Multivariable logistic regression model showed that sleep deprivation is significantly associated with non -college education background (OR = 2.28; 95% CI = 1.23 to 4.61), anxiety (OR = 7.09; 95% CI = 3.57 to 14.08), and the existence of chronic illness (OR = 2.75; 95% CI = 1.44 to 5.26). Subsequently, the psychosomatic symptom was associated with anxiety (OR = 5.27; 95% CI = 2.75 to 10.11) and chronic illness (OR = 2.80; 95%CI = 1.47 to 5.32). Loss appetite was associated with non- college education background (OR = 2.50; 95% CI = 1.16 to 5.41), anxiety (OR = 10.41; 95% CI = 5.01 to 21.63), and the existence of chronic illness (OR = 3.60; 95% CI = 1.72 to 7.55). The analysis showed that none of the COVID-19 related fear is associated with a sleep disorder, loss of appetite, and psychosomatic symptoms. Conclusions: Sociodemographic factors, anxiety and medical factors contribute to the risk of mental health issues in older adults during the COVID-19 pandemic, implication for sleep deprivation, loss of appetite, and psychosomatic complaints. Keywords: COVID-19 pandemic; losing appetite; mental health; sleep deprivation; psychosomatic symptoms Introduction Indonesia and almost all countries in the world have been facing a global COVID-19 pandemic since 2020 (World Health Organization, 2020). The pandemic situation has a remarkable effect on people's lives, social relations, and sociodemographic issues. The fast- spreading infectious disease has been causing universal awareness, anxiety, and distress, as natural psychological responses to the randomly changing condition (World Health Organization, 2020). A special concern needs to be addressed to the vulnerable groups such as older people. https://creativecommons.org/licenses/by/4.0/ https://orcid.org/0000-0002-6723-742X https://orcid.org/0000-0002-9339-0305 https://orcid.org/0000-0001-8578-4374 https://orcid.org/0000-0002-6210-3596 Nugraha, Adawiyah, Aprilia, Agustina, Handayani, and Rahardjo (2022) 68 P-ISSN: 1858-3598  E-ISSN: 2502-5791 The mental health issues over the pandemic have become a concern in the global health context. A study in American society reported that new measures such as self-isolation and quarantine had affected people's usual activities, routines, and livelihoods, leading to increased loneliness, anxiety, depression, insomnia, substance abuse, and self-harm or suicidal behavior (American Psychiatric Association, 2020) in the community. During the pandemic, older people face significant fallout concerning their physical and psychological wellbeing. These adults experienced disproportionately greater adverse effects during this pandemic, including severe complications and higher mortality (Liu, Chen, Lin, & Han, 2020). The Indonesian government reported that 46% of fatality cases are suffered by older people (COVID‑19 Response Acceleration Task Force, 2022). These high number of fatalities in older people are a result from aging process causing gradual decline in physical capacity and decline in immune function thus placing the older people in a high-risk group during the COVID-19 pandemic (Setiati, 2014). Older adults are advised to reduce their social connections as much as possible. The government advises them to stay at home and reduce face-to-face interactions with others, avoiding contact with friends and family to minimize the spread of COVID-19 (Ministry of Health, 2020). Hence, this policy creates a dilemma for the older people and their family members. They feel lonely and, at the same time, worried about being infected. Furthermore, concerns about disruptions to their daily routines and access to care, difficulty adapting to technologies like telemedicine, and social isolation exacerbate existing mental health conditions (Armitage and Nellums, 2020). A survey conducted by the Center for Family and Ageing Studies (CeFAS) in 2020 identified three mental health issues suffered by older people in community-dwelling during the pandemic, including sleep deprivation, loss of appetite, and psychosomatic symptoms (Nugraha et al., 2020). This study further intended to find the contributing factors of three mental health issues during the pandemic: the implication for sleep deprivation, loss of appetite, and psychosomatic symptoms. Materials and Methods Design and Participants This was a descriptive-analytic study using a cross- sectional approach to find the mental health impact of the COVID-19 pandemic. Participants from West Java and DKI Jakarta (age 60 years old or more) were invited to participate in this study. The recruitment process was using older people community associations. Sample sizes were counted using Lemeshow formula for cross- sectional methods with 95% degree of the confidence interval and counted 384 samples. Subjects were selected using cluster random sampling, with inclusion criteria including: those aged 60 years old or more, having no communication constraint, able to speak and read Bahasa Indonesia, and agree to participate in this study. Trained staff performed face-to-face interviews to collect detailed information from all participants with the COVID-19 prevention protocol. A total sample of 259 satisfied study analysis and were included in this study; 125 people were excluded due to incomplete response, confirming 67.4% response rate. Instruments One set of questionnaires was distributed to the older people or their family members after study participants signed an informed consent and received brief study explanation from the researcher. The questionnaire consists of sociodemographic characteristics, including age, gender, and education background, checklist for chronic illness adapted from geriatric comprehensive assessment (GCA). The self-reported individual concern about the pandemic was measured with a checklist that consists of the following questions: “I am afraid of getting infected;” “I am worried about the increasing number of cases;” “I am worried my family member will be affected;” “I am worried of unable to perform religious activities;” “I am worried on the difficulties to unite with my family” with “Yes” and “No” as a possible answer. The anxiety disorders were assessed with the Indonesian version of General Anxiety Disorders (GAD-7) questionnaire. It explores the psychological condition of the older people by asking whether they were bothered by the following problems over the last two weeks, such as (1) feeling nervous, anxious, or on edge; (2) unable to stop worrying; (3) worrying too much about different things; (4) trouble relaxing; (5) being restless and hard to sit still; (6) becoming easily irritable; (7) feeling afraid (Johnson et al., 2019). The outcome variable sleep deprivation was assessed with the self-reported experience in: difficulty to start sleeping, waking up suddenly, short sleep time (less than 6 hours) with four possible answers for each question (0 = not at all; 1 = several days; 2 = more than a week; 3 = nearly every day) (Han, Kim and Shim, 2012). The perception of losing appetite was assessed using the following question: “Please tell us first how your eating behavior is affected by certain emotional states and situations by circling a number on the scale below. The scale ranges from 1 to 9, where 1 represents much less food intake than usual, 9 much more than usual, and 5 the same as usual.” This measure was adopted from Emotional Appetite Questionnaire (EMAQ) (Nolan, Halperin and Galiebter, 2010). The perceived psychosomatic symptoms were measured with: “In the past two weeks, have you felt unwell, like have a fever, stomach discomfort, chill, Jurnal Ners http://e-journal.unair.ac.id/JNERS 69 dizziness” and scored (0 = not at all; 1 = several days; 2 = more than a week; 3 = nearly every day) adapted from the Psychosomatic Problem Scale (PBS) (Frisenstam et al., 2017). Data Analysis Statistical analysis consists of descriptive-analytic to explore the sociodemographic characteristics of the participants and the prevalence of anxiety, self-reported sleep deprivation, self-reported losing appetite, and self- reported psychosomatic symptoms. The bivariate Chi- square analysis was employed to assess the independent variable and outcome variables. Furthermore, a logistic regression analysis was conducted to identify factors contributing to mental health impact among older people. Ethical Consideration The study was conducted according to the guidelines of the Declaration of Helsinki, and informed consent was obtained from all subjects involved. The study participants have obtained written informed consent to publish this paper approved by the Institutional Review Board of the University of Respati Indonesia with ethical approval number: 023/SK.KEPK/UNR/V/2020. Results A total of 259 older people participated in this study after conducting surveys among older people and their family members from May to June 2020. Approximately 67.45% response rate or 259 responses are eligible for data analysis. As shown in Table 1, the average age of study participants is 65.3 years old (SD ± 6.8; min-max = 60 to 89 years old), three-quarters of study participants are female, more than one-third have a college degree, and more than half of study participants have one or more chronic illness. According to the anxiety measurement using Generalized Anxiety Disorder, 26.3% of the older people are categorized as having anxiety during the COVID-19 pandemic. Concerns about the COVID-19 condition are dominated by the fear of being infected as much as 88% followed by the increasing number of cases. Assessment on the mental health related issues identified the sleep deprivation as the most issues reported by study participants followed by self-reported psychosomatic symptom and self-reported in eating disorder identified by emotional appetite status. Appendix 1 describes the bivariate association between risk factor of sleep deprivation, psychosomatic symptom, and loss of appetite. Among older people who suffer from anxiety disorder, 60.3% of them complained of having sleep deprivation, 55.9% of them reported psychosomatic symptoms, and 57.4% of them suffer from losing appetite (p-value < 0.0001). Approximately 40% of study participants who have chronic illness are likely to suffer from sleep deprivation, 34.3% lose their appetite, and 38.6% are identified as having psychosomatic symptoms (p < 0.01). Furthermore, 38.8% of older people that are worried about the increasing number of COVID- 19 cases suffered from sleep deprivation (p < 0.05), and 58% are unable to unite with their family (p = 0.05), while 41.9% lose their appetite (p = 0.045). The multivariable logistic regression model showed (Appendix 2) that sleep deprivation is associated with non-college education background (OR = 2.28; 95% CI = 1.23 to 4.61), anxiety (OR = 7.09; 95% CI = 3.57 to 14.08), and the existence of chronic illness (OR = 2.75; 95% CI = 1.44 to 5.26). The psychosomatic symptom was associated with anxiety (OR = 5.27; 95% CI = 2.75–10.11) and chronic illness (OR = 2.80; 95% CI = 1.47 to 5.32). Loss of appetite was associated with non-college education background (OR = 2.50; 95% CI = 1.16 to 5.41), anxiety (OR = 10.41; 95% CI = 5.01 to 21.63), and the existence of chronic illness (OR = 3.60; 95% CI = 1.72 to 7.55). The analysis showed that none of the COVID-19 related fear is associated with a sleep disorder, loss of appetite, and psychosomatic symptoms. Discussions The great pandemic of 2020 has been a unique stressor that has affected communities all around the world (World Health Organization, 2020). This study highlighted mental health issues in older adults during the COVID-19 pandemic, implication for sleep deprivation, losing appetite, and self-reported Table 1 Sociodemographic characteristics of the participants (N = 259) Variables n % Age 60-70 years old 217 83.8 70 years old or more 42 16.2 Gender Male 65 25.1 Female 194 74.9 Education Non-college degree 172 66.4 College degree 87 33.6 The existence of chronic illness None 116 44.8 Having one or more chronic illness 143 55.2 Generalized Anxiety Disorder (GAD) Non-anxiety 191 73.7 With anxiety 68 26.3 To what extent do you worry about COVID-19? I am worried about getting infected 230 88.8 I am worried about the increasing number of cases 105 40.5 I am worried my family members will be infected 97 37.5 I am worried of being unable to unite with family 31 12.0 I am worried of being unable to perform religious activities 13 5.0 Mental health-related issues Sleep deprivations 80 30.9 Psychosomatic Symptom 75 29.0 Losing Appetite 65 25.1 Nugraha, Adawiyah, Aprilia, Agustina, Handayani, and Rahardjo (2022) 70 P-ISSN: 1858-3598  E-ISSN: 2502-5791 psychosomatic symptoms. Several predictors show a statistically significant association with sleep deprivation, losing appetite, and psychosomatic complaints in this study. This study identified the older people with anxiety, an existing chronic disease, and low education background (non-college degree) as likely to have greater sleep deprivation during the COVID-19 pandemic. Apart from the disease’s effect, these psychological problems are also triggered by social distancing following the government regulation to stay at home and prohibition of going home for family gatherings in celebration of religious events (Ministry of Health, 2020). As a result of these policies, the older people lost their daily routines, such as regularly meeting friends and family and causing the older people to feel lonely. This can be a stressful mental health condition triggered by loneliness due to social isolation (Bergman et al., 2020). More than 80% of the study participants reported that they are afraid of being infected by the COVID-19 while worrying about the increasing number of cases. These concerns can trigger a higher stress levels and lead to anxiety disorder that may affect deterioration of the normal sleep pattern (Han, Kim and Shim, 2012). The body's circadian rhythm regulation between sleep and awakening is regulated by two components, namely the circadian component (~24 hours) and the homeostatic component (Cardinali et al., 2020). The circadian timing system is controlled by sunlight exposure, social adaptation, and environmental problems with daily routines such as waking up at a certain time, exercising, eating, socially engaging, and recreational activities. During the pandemic, some activities have changed due to limitations at certain times. This condition causes the older adult with anxiety to experience sleep deprivation. Anxiety is an emotional memory with theta frequency that may influence the rapid eye movement (Essien et al., 2018). The complex interplay between sleep deprivation and anxiety could worsen the mental health condition. Furthermore, lower education background is likely to increase the stress level. Previous study identified the reverse association between education background and the stress level (Johnson et al., 2019). One can assume that older people with higher education have better knowledge to cope with the pandemic and easily identify accurate information. In contrast, older people with lower-level education are likely vulnerable to wrong news (hoax), which may increase their anxiety level. Moreover, those with a college education background have a good circle of friendship to share accurate information. This finding proves that low level of education is also associated with a lack of sense of control and resilience (Niemeyer et al., 2019) during the pandemic situation. Anxiety, the existence of chronic illness and a non- college education background are significantly associated with self-reported losing of appetite. An Australian study explains that those who felt a high level of the adverse impact of the pandemic restrictions had significantly increased odds of being bothered by poor appetite (Owen et al., 2021). The COVID-19 pandemic makes older adults worry about being infected and vulnerable to stress. Emotional eating is most commonly reported in anxiety. Stress can suppress appetite, and loss of appetite is a common feature of depression (Simmon et al., 2016). Older adults with decreased physiological conditions interfere with their appetite. Furthermore, those with chronic diseases during the COVID-19 pandemic felt more anxious because they had comorbidities such as hypertension and diabetes mellitus, which can increase the risk of developing severe and fatal COVID-19 (Fang, Karakiulakis and Roth, 2020). Chronic illness can interfere with appetite through impaired agility and pain. It interferes with the eating process, which takes longer to reduce appetite. Psychosomatic symptoms are reported by nearly 29% of the study participants. This finding is in line with previous study on the mental health impact of the pandemic. This study identified a statistically significant association between self-reported psychosomatic symptom with anxiety and chronic illness. Psychosomatic symptoms are decreased psychological state, hence negatively impacting physiological function (somatic) (Levenson, 2007). This occurs due to dysfunction or structural damage to organs by activating the involuntary nervous system and biochemical responses (Levenson, 2007). Older adults with anxiety are likely to have psychosomatic symptoms because pain and anxiety should be recognized as physiological problems associated with neurobiochemical changes (Satsangi and Brugnoli, 2018). Neuro-biochemistry is associated with stress resulting from stimulation of the sympathetic nervous system, specifically the fight-or- flight response. In acute stress especially in the COVID-19 pandemic, this response triggers the release of catecholamines, including Norepinephrine-Epinephrine (NE) and cortisol, from the adrenal glands. In prolonged or chronic stress, the sympathetic nervous system creates a continuous stimulus of the fight-or-flight response (Levenson, 2007). The secretion of catecholamines occurs continuously under prolonged stress conditions because catecholamines, such as NE, act as neurotransmitters in the brain. These substances can change cognition and other mental condition such as poor concentration, mood variations, tension, depression, and anxiety. At the same time, long-term stress-induced cortisol secretion from the adrenal glands can reduce immune function (Satsangi and Brugnoli, 2018). The increasing number of cases and a lot of uncertain issues spread around the older people, produce significant stressors that may increase stress level of older people and are likely to increase their psychosomatic complaints. The strength of this study is that it captures the state of the COVID-19 pandemic related to mental health Jurnal Ners http://e-journal.unair.ac.id/JNERS 71 issues, and its associated factors. To the best of our knowledge, this is one of the few studies examining the association of mental health issues focusing on the implication for sleep deprivation, loss of appetite, and psychosomatic complaints with COVID-19. On the other hand, this study has many limitations that may arise from sample distribution and lower response rate. Selection bias could be present in the data collection, because, in the pandemic situation, researchers should limit their contact to older people, and wearing certain personal protective equipments, which may become communication barriers for older people with decreasing visual and hearing capacity. Another limitation is due to the fact that we did not identify other factors that could become potential confounding that may distort the association between independent and dependent variables. Conclusions This study identified mental health issues suffered by the older people during the COVID-19 pandemic. Anxiety and chronic illness were identified as the risk factors for all mental health issues such as sleep deprivation, loss of appetite, and psychosomatic symptom. Additionally, lower education attainment is likely to increase the risk of sleep deprivation and loss of appetite two times above higher education. These results have implications for delivering adequate education on COVID-19 through trustworthy information to alleviate fear and boost understanding among individuals with poor education and chronic illnesses. Awareness of these contributing factors and implementation of coping strategies and interventions may help safeguard older people as vulnerable group from psychological complications that impact quality of life and health span. Understanding the factors and mechanisms that drive older people’s resilience can guide intervention approaches for other people. In addition, increasing components of wisdom like emotional regulation, empathy, and compassion can reduce any mental health issues. Further research should be conducted to understand the psychological and mental health effects of the ongoing COVID-19 pandemic among the older population. 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(2022) ‘Pandemic in Indonesian older people: The implication for sleep deprivation, loss of appetite, and psychosomatic complaints’, Jurnal Ners, 17(1), pp. 67–73. doi: http://dx.doi.org/10.20473/jn.v17i1.33885 http://dx.doi.org/10.20473/jn.v17i1.33885 Nugraha, Adawiyah, Aprilia, Agustina, Handayani, and Rahardjo (2022) 72 P-ISSN: 1858-3598  E-ISSN: 2502-5791 APPENDICES Appendix 1 The association of sociodemographic factors with sleep deprivation, loss of appetite, and psychosomatic symptom Variables Sleep Deprivation Loss of Appetite Psychosomatic Symptoms No = 0 n (%) Yes = 1 n (%) p-value No = 0 n (%) Yes = 1 n (%) p-value No = 0 n (%) Yes = 1 n (%) p-value Gender Female 40 (62.5) 24 (37.5) 0.298 159 (74.6) 54 (25.4) 0.998 150 (70.4) 63 (29.6) 1.000 Male 134 (70.5) 56 (29.5) 30 (73.2) 11 (26.8) 29 (70.7) 12 (29.3) Age 60-70 years 146 (68.5) 67 (31.5) 1.000 45 (70.3) 19 (29.7) 0.482 40 (62.5) 24 (37.5) 0.145 >70 years 28 (68.3) 13 (31.7) 144 (75.8) 46 (24.2) 139 (73.2) 51 (26.8) Education Background College degree 109 (65.3) 58 (34.7) 0.180 120 (71.9) 47 (28.1) 0.275 116 (69.5) 51 (30.5) 0.773 Non-college degree 64 (74.4) 22 (25.6) 68 (79.1) 18 (20.9) 62 (72.1) 24 (27.9) Anxiety Disorder Category Non anxiety 147 (79.0) 39 (21.0) <0.0001 160 (86.0) 26 (14.0) <0.0001 149 (80.1) 37 (19.9) <0.0001 With anxiety 27 (39.7) 41 (60.3) 29 (42.6) 39 (57.4) 30 (44.1) 38 (55.9) Having chronic illness No 90 (78.9) 24 (21.1) 0.002 97 (85.1) 17 (14.9) 0.001 93 (81.6) 21 (18.4) 0.001 Yes 84 (60.0) 56 (40.0) 92 (65.7) 48 (34.3) 86 (61.4) 54 (38.6) To what extent do you worry about COVID-19? I am worried about getting infected 155 (68.9) 70 (31.1) 0.876 169 (75.1) 56 (24.9) 0.626 162 (72.0) 63 (28.0) 0.204 I am worried about the increasing number of cases 80 (76.2) 25 (23.8) 0.038 81 (77.1) 24 (22.9) 0.489 80 (76.2) 25 (23.8) 0.124 I am worried my family members will be infected 66 (71.7) 26 (28.3) 0.486 74 (80.4) 18 (19.6) 0.131 68 (73.9) 24 (26.1) 0.446 I am worried of being unable to perform religious activities 7 (53.8) 6 (46.2) 0.389 9 (69.2) 4 (30.8) 0.745 9 (69.2) 4 (30.8) 1.000 I am worried of being unable to unite with family 14 (45.2) 17 (54.8) 0.005 18 (58.1) 13 (41.9) 0.045 19 (61.3) 12 (38.7) 0.324 Jurnal Ners http://e-journal.unair.ac.id/JNERS 73 Appendix 2 Multivariable logistic regression model examining the mental health impact of COVID-19 pandemic in older people (N = 259). Variables Sleep Deprivation Loss of Appetite Psychosomatic Symptoms Crude OR (95%CI) aOR (95%CI) Crude OR (95%CI) aOR (95% CI) Crude OR (95%CI) aOR (95% CI) Gender Female (ref) 1 1 1 1 1 1 Male 0.69 (0.38 to 1.26) 1.20 (0.60 to 2.38) 0.76 (0.403 to 1.42) 1.05 (0.50 to 2.23) 0.61 (0.34 to 1.11) 1.53 (0.78 to 3.01) Age ≥70 years old (ref) 1 1 1 1 1 1 <70 years old 1.01 (0.49 to 2.07) 1.50 (0.65 to 3.47) 1.08 (0.51 to 2.30) 1.31 (0.53 to 3.24) 0.99 (0.47 to 2.05) 1.21 (0.53 to 2.77) Education Background College degree (ref) 1 1 1 1 1 1 Non-college degree 0.64 (0.362 to 1.15) 2.28 (1.13 to 4.61)* 0.68 (0.36 to 1.26) 2.50 (1.16 to 5.41)* 0.88 (0.50 to 1.56) 1.45 (0.75 to 2.80) General Anxiety Category Non-anxiety (ref) 1 1 1 1 1 1 With anxiety 5.72 (3.14 to 10.43)* 7.09 (3.57 to 14.08)* 8.27 (4.39 to 15.61)* 10.41 (5.01 to 21.63)* 5.10 (2.80 to 9.29)* 5.27 (2.75 to 10.11)* Having Chronic Illness No (ref) 1 1 1 1 1 1 Yes 0.86 (0.38 to 1.94) 2.75 (1.44 to 5.26)* 2.98 (1.60 to 5.55)* 3.60 (1.72 to 7.55)* 2.78 (1.55 to 4.98)* 2.80 (1.47 to 5.32)* To what extent do you worry about COVID-19? I am afraid of being affected 0.86 (0.38 to 1.94) 0.95 (0.64 to 1.40) 0.74 (0.32 to 1.71) 0.71 (0.45 to 1.12) 0.55 (0.25 to 1.22) 1.20 (0.82 to 1.76) I am worried about the increasing number of cases 0.53 (0.31 to 0.93) 0.51 (0.17 to 1.53) 0.78 (0.44 to 1.40) 0.34 (0.10 to 1.25) 0.62 (0.35 to 1.09) 0.69 (0.23 to 2.06) I am worried my family members will be affected 0.40 (0.95 to 0.85)* 0.99 (0.83 to 1.17) 0.90 (0.80 to 1.02) 0.86 (0.70 to 1.06) 0.95 (0.85 to 1.06) 1.00 (0.84 to 1.19) I am worried of being unable to perform religious activities 1.18 (0.89 to 1.56) 1.14 (0.76 to 1.71) 1.07 (0.79 to 1.45) 0.84 (0.53 to 1.35) 1.02 (0.75 to 1.37) 1.02 (0.67 to 1.56) I am worried of being unable to unite with my family 1.76 (1.20 to 2.57)* 1.60 (0.86 to 2.98) 1.54 (1.04 to 2.27)* 1.04 (0.51 to 2.11) 1.27 (0.86 to 1.87) 1.18 (0.63 to 2.20) *p-value < 0.05 TABLE1 APA2020 ARMITAGE2020 BERGMAN2020 CARDINALI2020 ESSIEN2018 FANG2020 FRISENSTAM2017 HANKIM2012 JOHNSON2019 LEVENSON2007 LIUCHEN2020 MINISTRI2020 NOLAN2010 NUGRAHA2020 OWEN2021 SATSANGI2018 SETIATI2014 SIMMON2016 WHO2020a WHO2020b APPENDIX1 APPENDIX2