Literature DB >> 35390049

Association between chronic physical conditions and depressive symptoms among hospital workers in a national medical institution designated for COVID-19 in Japan.

Ami Fukunaga1, Yosuke Inoue1, Shohei Yamamoto1, Takako Miki1, Dong Van Hoang1, Rachana Manandhar Shrestha1, Hironori Ishiwari2, Masamichi Ishii2, Kengo Miyo2, Maki Konishi1, Norio Ohmagari3, Tetsuya Mizoue1.   

Abstract

OBJECTIVE: This study aimed to investigate the cross-sectional association between the presence of chronic physical conditions and depressive symptoms among hospital workers at a national medical institution designated for COVID-19 treatment in Tokyo, Japan. We also accounted for the combined association of chronic physical conditions and SARS-CoV-2 infection risk at work in relation to depressive symptoms, given that occupational infection risk might put additional psychological burden among those with chronic physical conditions with risk of severe COVID-19 outcome.
METHODS: The study sample consisted of 2,440 staff members who participated in a health survey conducted at the national medical institution during period between October 2020 and December 2020. Participants who reported at least one chronic physical condition that were deemed risk factors of severe COVID-19 outcome were regarded as having chronic physical conditions. Depressive symptoms were assessed using the patient health questionnaire-9 (PHQ-9). We performed logistic regression analysis to assess the association between chronic physical conditions and depressive symptoms.
RESULTS: Our results showed that the presence of chronic physical conditions was significantly associated with depressive symptoms (odds ratio (OR) = 1.49, 95% confidence interval (CI) = 1.10-2.02). In addition, the prevalence of depressive symptoms was significantly higher among healthcare workers with chronic physical conditions who were at a higher occupational infection risk (OR = 1.81, 95% CI = 1.04-3.16).
CONCLUSION: Our findings suggest the importance of providing more assistance to those with chronic physical conditions regarding the prevention and control of mental health issues, particularly among frontline healthcare workers engaging in COVID-19-related work.

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Mesh:

Year:  2022        PMID: 35390049      PMCID: PMC8989319          DOI: 10.1371/journal.pone.0266260

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Chronic physical conditions have been studied extensively in relation to mental health [1-3]. For example, the WHO World Health Survey reported a higher prevalence of depression in people with at least one chronic physical condition (9.3–23%) compared to those without any condition (3.2%) [3]. While chronic physical conditions and depression often coexist and their association can be bidirectional [4], one line of research has suggested that chronic physical conditions cause depression/depressive symptoms [1, 2] via physical symptoms (e.g., pain and functional impairment), decreased quality of life, fear of disease progression, burden of disease self-management, and medical costs [4]. Investigation on the link between chronic physical conditions and mental health is particularly important among healthcare workers during the current pandemic of coronavirus disease 2019 (COVID-19) given that chronic physical conditions, such as hypertension and diabetes, have been suggested as risk factors of severe COVID-19 symptoms or mortality [5, 6] and that they are at a substantial risk of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and may perceive a higher vulnerability. More specifically, frontline health care workers with chronic physical conditions who are at higher occupational infection risk (e.g., having direct contact with infected patients) may be at a higher risk of depression as they are more susceptible to SARS-CoV-2 infection and adverse health outcomes as result of the infection [5, 6]. However, we are not aware of any study investigating the association between chronic physical conditions and mental health issues among healthcare workers. In addition, no study has investigated this subject with consideration of occupational infection risk. The present study was designed to investigate the cross-sectional association between chronic physical conditions and depressive symptoms among hospital workers at a national medical institution designated for COVID-19 treatment in Japan. We also accounted for the combined association of the presence of chronic physical conditions and occupational infection risk in relation to depressive symptoms. We hypothesized that having chronic physical conditions might be associated with depressive symptoms, and that the magnitude of the association might be larger for individuals with chronic physical conditions who are at a higher occupational risk of SARS-CoV-2 infection.

Methods

Data for the present study were derived from the Clinical Epidemiology Study on the SARS-CoV-2 antibody, an ongoing study conducted among workers at the National Center for Global Health and Medicine (NCGM) [7, 8]. The primary objective of this study was to investigate the prevalence and determinants of SARS-CoV-2 infection among workers. The first survey was conducted at one of the NCGM hospitals, located in Toyama, Tokyo, Japan in July 2020, which mainly targeted those who worked in COVID-19-related departments or were engaged in any COVID-19-related work. The second survey was conducted among a wider range of workers, along with health check-ups in October 2020 at the work site in Toyama, Tokyo, and in December 2020 at another work site in Kohnodai, Chiba prefecture. For the present study, we used information from the second survey. Participants were asked to complete an electronic questionnaire on sociodemographic factors, lifestyle factors, COVID-19-related work factors, chronic physical conditions, and depressive symptoms. A total of 2,893 people were invited to participate in the survey, and 2,480 agreed to participate (response rate: 85.7%). For the present study, we excluded those with missing information on the exposure, outcome, and covariates (described below) (n = 35). In addition, we excluded those who reported having depression (n = 5) as it is possible that they experienced the outcome before the onset of COVID-19 pandemic. After applying the exclusion criteria, the sample consisted of 2,440 participants aged 18–75 years (1,698 women and 742 men). Written informed consent was obtained from all the participants. The study protocol was approved by the NCGM ethics committee (approval number: NCGM-G-003598).

Exposure

In this study, we defined the presence of chronic physical conditions using information on chronic physical conditions that might be risk factors for severe COVID-19 outcome [5, 6]. We asked participants whether they have any of the following chronic physical conditions: diabetes, hypertension, chronic obstructive pulmonary disease (COPD) or bronchial asthma, cardiovascular disease, cerebrovascular disease, cancer, or other chronic physical conditions. The response options for each condition included “no,” “yes (under medication),” and “yes (untreated)” (plus “yes [diet therapy]” for diabetes). For other chronic physical conditions, participants were asked to specify the conditions. From the list of other conditions, we picked out the following chronic physical conditions that meet our definition of exposure: dyslipidemia [9], thyroid disorders [10], anemia [11], human immunodeficiency virus (HIV) infection [6], neurological disorders [12], and autoimmune diseases [13]. For additional analysis, we included obesity [6] as a chronic physical condition. In the present study, height and weight were self-reported via the electronic questionnaire, and body mass index (BMI) was calculated by dividing the weight (kg) by the square of the height (m2). Obesity was defined as a BMI of ≥30 kg/m2.

Assessment of depressive symptoms

The Japanese version of the Patient Health Questionnaire 9 (PHQ-9) [14] was used to assess depressive symptoms. The PHQ-9 consists of nine items, with each item scored on a scale of 0–3 based on the frequency of depressive symptoms in the past two weeks (0 = not at all, 1 = several days, 2 = more than half of the days, and 3 = nearly every day). The total score ranged from 0 to 27, with higher scores indicating a greater severity of depressive symptoms. Participants with a PHQ-9 score of ≥10 were regarded as having depressive symptoms, which has been validated for its assessment [14, 15].

Other variables

We obtained information on age (continuous), sex (male or female), and occupation from the labor management office at the NCGM. Information on other variables, including living arrangements, smoking status, alcohol consumption, physical activity, diet, sleep duration, working hours, and COVID-19-related factors was obtained via the electronic questionnaire. We grouped occupations into five categories: doctors, nurses, allied healthcare professionals, administrative staff, and others. Information on the number of cohabitants (living alone, living with one person, living with two, three, four, or five or more people) was used to define living arrangements (living alone or living with others). For current smoking status (yes or no), we defined smokers as those who smoked cigarettes and/or heat-not-burn cigarettes and non-smokers as those who did not smoke cigarettes and heat-not-burn cigarettes. Daily alcohol consumption was categorized into four groups: none, <1, 1–<2, or ≥2 go/day (go: a Japanese traditional unit [180 mL]). Weekly leisure-time physical activity was categorized into five groups: none, <60, 60–120, 120–180, or ≥180 minutes/week. We obtained information on the frequency of balanced-meal consumption by asking “How frequently did you have meals with a combination of staple foods (e.g., rice, bread, noodles), main dishes (dishes made of meat, fish, eggs, soy products, etc.), and side dishes (small bowls or small dishes made of vegetables, mushrooms, potatoes, seaweed, etc.)?”, with the following response options: rarely, 2–3 days/week, 4–5 days/week, or almost every day. Sleep duration was categorized into three groups: <6, 6–7, or ≥7 hours. BMI was categorized into five groups: <18.5, 18.5–<23, 23–<25, 25–<30, or ≥30 kg/m2. Self-reported information on working hours was categorized into three groups: ≤8, 9–10, or ≥11 hours/day. In relation to engagement in COVID-19-related work, we asked the following two questions: “Have you ever engaged in COVID-19-related work?” (yes or no) and “Did you engage in any work in which you were heavily exposed to SARS- CoV-2?” (yes or no). Using these two questions, we defined the degree of possible exposure to SARS-CoV-2 at work, which was categorized into three groups: low (those who did not engage in COVID-19-related work), moderate (those who engaged in COVID-19-related work without high exposure to SARS-CoV-2 at work), and high (those who engaged in COVID-19-related work with high exposure to SARS-CoV-2 at work). Regarding participants’ experiences in relation to COVID-19, we asked them if they agreed with the following two statements: “You and your family have been bad-mouthed” (yes or no) and “I felt that I was discriminated against in some way” (yes or no). If participants answered “yes” to either question, they were considered as having experiences of being bad-mouthed or discriminated against in relation to COVID-19. We incorporated the discrimination experience in the present study because such experiences have been suggested to worsen mental health [16].

Statistical analysis

Multiple logistic regression analysis was performed to investigate the association between chronic physical conditions and depressive symptoms. Model 1 was adjusted for age, sex, worksite, and occupation. Model 2 was additionally adjusted for living arrangements, smoking status, alcohol consumption, leisure-time physical activity, balanced-meal consumption, sleep duration, working hours, degree of possible exposure to SARS-CoV-2 at work, and being bad-mouthed or discriminated against in relation to COVID-19. To examine the association while taking possible occupational infection risk into account, we established a variable by combining information about the presence of chronic physical conditions (yes or no) and degree of possible exposure to SARS-CoV-2 at work (low, moderate, or high). All the statistical analyses were conducted using SAS version 9.4 (SAS Institute). Statistical significance was set at a p-value of <0.05 (two-tailed).

Results

In the present study, 359 (14.7%) had depressive symptoms out of 2,440 participants. Table 1 presents the characteristics of the participants. The proportions of doctors, nurses, allied healthcare professionals, administrative staff, and those with other occupations were 16.8%, 36.6%, 14.9%, 11.6%, and 20.0%, respectively. A total of 1,275 participants (52.3%) had ever engaged in COVID-19-related work. Out of them, 582 (23.9%) had ever engaged in COVID-19-related work with high exposure to SARS-CoV-2. Among 2,440 participants, 486 (19.9%) had one or more chronic physical conditions. Among these participants, the cases of hypertension, COPD or bronchial asthma, diabetes, cardiovascular diseases, cancers, cerebrovascular diseases, and other chronic physical conditions were 166, 95, 55, 38, 29, 16, and 246, respectively (110 participants had more than one conditions) (S1 Table).
Table 1

Characteristics of study participants (n = 2,440).

All (n = 2,440)Chronic physical condition(s)
No (n = 1,954)Yes (n = 486)
Age, mean [SD]38.7 [12.0]36.7 [11.0]46.9 [12.4]
Sex (female), n (%)1,698 (69.6)1,399 (71.6)299 (61.5)
Work site
 Toyama (Tokyo)1,951 (80.0)1,592 (81.5)359 (73.9)
 Kohnodai (Chiba)489 (20.0)362 (18.5)127 (26.1)
Occupation, n (%)
 Doctors410 (16.8)334 (17.1)76 (15.6)
 Nurses894 (36.6)760 (38.9)134 (27.6)
 Allied healthcare professionals364 (14.9)301 (15.4)63 (13.0)
 Administrative staff284 (11.6)210 (10.8)74 (15.2)
 Others488 (20.0)349 (17.9)139 (28.6)
Working hours, n (%)
 ≤8 hours/day1,208 (49.5)937 (48.0)271 (55.8)
 9–10 hours/day918 (37.6)772 (39.5)146 (30.0)
 ≥11 hours/day314 (12.9)245 (12.5)69 (14.2)
Ever engaged in COVID-19-related work (yes), n (%)1,275 (52.3)1,038 (53.1)237 (48.8)
Degree of possible exposure to SARS-CoV-2 at work, n (%)
 Low1,165 (47.8)916 (46.9)249 (51.2)
 Moderate693 (28.4)558 (28.6)135 (27.8)
 High582 (23.9)480 (24.6)102 (21.0)
Being bad mouthed or discriminated against in relation to COVID-19 (yes), n (%)235 (9.6)173 (8.9)62 (12.8)
Living arrangements (living alone), n (%)907 (37.2)795 (40.7)112 (23.1)
Current smoking (yes), n (%)170 (7.0)139 (7.1)31 (6.4)
Alcohol drinking, n (%)
 None828 (33.9)653 (33.4)175 (36.0)
 <1 go/day1,328 (54.4)1,094 (56.0)234 (48.2)
 1–<2 go/day211 (8.7)152 (7.8)59 (12.1)
 ≥2 go/day73 (3.0)55 (2.8)18 (3.7)
Leisure time physical activity, n (%)
 None579 (23.7)463 (23.7)116 (23.9)
 <60 minutes/week1,069 (43.8)858 (43.9)221 (43.4)
 60–<120 minutes/week444 (18.2)367 (18.8)77 (15.8)
 120–<180 minutes/week175 (7.2)135 (6.9)40 (8.2)
 ≥180 minutes/week173 (7.1)131 (6.7)42 (8.6)
Balanced-meal consumption, n (%)
 Rarely431 (17.7)368 (18.8)63 (13.0)
 2–3 days/week714 (29.3)592 (30.3)122 (25.1)
 4–5 days/week482 (19.8)377 (19.3)105 (21.6)
 Almost every day813 (33.3)617 (31.6)196 (40.3)
Sleep duration, n (%)
 <6 hours1,230 (50.4)947 (48.5)283 (58.2)
 6–<7 hours864 (35.4)716 (36.6)148 (30.5)
 ≥7 hours346 (14.2)291 (14.9)55 (11.3)
BMI (kg/m2), n (%)
 <18.5278 (11.4)246 (12.6)32 (6.6)
 18.5–<231,461 (59.9)1,234 (63.2)227 (46.7)
 23–<25336 (13.8)253 (13.0)83 (17.1)
 25–<30299 (12.3)188 (9.6)111 (22.8)
 ≥3066 (2.7)33 (1.7)33 (6.8)
Table 2 shows the results of the multiple logistic regression analysis investigating the association between chronic physical conditions and depressive symptoms. Compared with those without any chronic physical condition, the odds ratio (OR) (95% confidence interval [CI]) of depressive symptoms was 1.49 (95% CI = 1.10–2.02) for those with chronic physical condition(s) in the fully adjusted model. The association remained the same when obesity was included as a chronic physical condition (OR = 1.41, 95% CI = 1.03–1.92).
Table 2

Odds ratios and 95% confidence intervals of depressive symptoms according to the presence of chronic physical condition(s).

Cases/SubjectsModel 1Model 2
Chronic physical condition(s)
 No274/1,9541.00 (reference)1.00 (reference)
 Yes85/486 1.60 (1.20–2.14) 1.49 (1.10–2.02)
Chronic physical condition(s) (including obesity) *
 No271/1,9211.00 (reference)1.00 (reference)
 Yes88/519 1.49 (1.12–1.98) 1.41 (1.03–1.92)

Model 1 is adjusted by age (years, continuous), sex (male or female), work site (Toyama or Kohnodai), and occupation (doctors, nurses, allied health care professionals, administrative staff, or others).

Model 2 is adjusted by variables in model 1, and living arrangements (living alone or living with others), current smoking (yes or no), alcohol consumption (none, <1, 1–<2, or ≥2 go/day), leisure time physical activity (none, <60, 60–<120, 120–<180, or ≥180 minutes/week), balanced-meal consumption (rarely, 2–3, 4–5 days/week, or almost every day), sleep duration (<6, 6–<7, or ≥7 hours), BMI (<18.5, 18.5–<23, 23–<25, 25–<30, or ≥30 kg/m2), working hours (≤8, 9–10, or ≥11 hours/day), degree of possible exposure to SARS-CoV-2 at work (low, moderate, or high), and being bad mouthed or discriminated against in relation to COVID-19 (yes or no).

*Obesity (BMI ≥30 kg/m2) is considered as one of chronic physical conditions so that BMI is not adjusted in models.

Model 1 is adjusted by age (years, continuous), sex (male or female), work site (Toyama or Kohnodai), and occupation (doctors, nurses, allied health care professionals, administrative staff, or others). Model 2 is adjusted by variables in model 1, and living arrangements (living alone or living with others), current smoking (yes or no), alcohol consumption (none, <1, 1–<2, or ≥2 go/day), leisure time physical activity (none, <60, 60–<120, 120–<180, or ≥180 minutes/week), balanced-meal consumption (rarely, 2–3, 4–5 days/week, or almost every day), sleep duration (<6, 6–<7, or ≥7 hours), BMI (<18.5, 18.5–<23, 23–<25, 25–<30, or ≥30 kg/m2), working hours (≤8, 9–10, or ≥11 hours/day), degree of possible exposure to SARS-CoV-2 at work (low, moderate, or high), and being bad mouthed or discriminated against in relation to COVID-19 (yes or no). *Obesity (BMI ≥30 kg/m2) is considered as one of chronic physical conditions so that BMI is not adjusted in models. The OR of depressive symptoms was significantly higher among those with chronic physical condition(s) who had high exposure to SARS-CoV-2 at work (i.e., high occupational infection risk) (OR = 1.81, 95% CI = 1.04–3.16) than among those without any chronic physical condition who did not engage in COVID-19-related work (i.e., low occupational infection risk) (Table 3), though we did not find any evidence of a significant interaction between the presence of chronic physical condition(s) and occupational infection risk (p for interaction = 0.23). The combined association of chronic physical condition(s) and SARS-CoV-2 infection risk at work with depressive symptoms is shown in Fig 1.
Table 3

Odds ratios and 95% confidence intervals of depressive symptoms according to the combination of the presence of chronic physical condition(s) and degree of possible exposure to SARS-CoV-2 at work.

Degree of possible exposure to SARS-CoV-2 at workChronic physical condition(s)
No (n = 1954)Yes (n = 486)
Low* (n = 916)Moderate (n = 558)High (n = 480)Low* (n = 249)Moderate (n = 135)High (n = 102)
Cases1326973382522
Model 11.00 (ref)0.83 (0.60–1.14)1.13 (0.81–1.58)1.31 (0.87–1.97) 1.70 (1.04–2.77) 2.00 (1.18–3.41)
Model 21.00 (ref)0.75 (0.54–1.05)1.03 (0.73–1.46)1.23 (0.80–1.87)1.37 (0.82–2.28) 1.81 (1.04–3.16)

Model 1 is adjusted by age (years, continuous), sex (male or female), work site (Toyama or Kohnodai), and occupation (doctors, nurses, allied health care professionals, administrative staff, or others).

Model 2 is adjusted by variables in model 1, and living arrangements (living alone or living with others), current smoking (yes or no), alcohol consumption (none, <1, 1–<2, or ≥2 go/day), leisure time physical activity (none, <60, 60–<120, 120–<180, or ≥180 minutes/week), balanced-meal consumption (rarely, 2–3, 4–5 days/week, or almost every day), sleep duration (<6, 6–<7, or ≥7 hours), BMI (<18.5, 18.5–<23, 23–<25, 25–<30, or ≥30 kg/m2), working hours (≤8, 9–10, or ≥11 hours/day), and being bad mouthed or discriminated against in relation to COVID-19 (yes or no).

*Low: those who did not engage in COVID-19-related work.

†Moderate: those who engaged in COVID-19-related work without high exposure to SARS-CoV-2 at work.

‡High: those who engaged in COVID-19-related work with high exposure to SARS-CoV-2 at work.

Fig 1

The combined association of chronic physical condition(s) and degree of possible exposure to SARS-CoV-2 at work with depressive symptoms.

Model 1 is adjusted by age (years, continuous), sex (male or female), work site (Toyama or Kohnodai), and occupation (doctors, nurses, allied health care professionals, administrative staff, or others). Model 2 is adjusted by variables in model 1, and living arrangements (living alone or living with others), current smoking (yes or no), alcohol consumption (none, <1, 1–<2, or ≥2 go/day), leisure time physical activity (none, <60, 60–<120, 120–<180, or ≥180 minutes/week), balanced-meal consumption (rarely, 2–3, 4–5 days/week, or almost every day), sleep duration (<6, 6–<7, or ≥7 hours), BMI (<18.5, 18.5–<23, 23–<25, 25–<30, or ≥30 kg/m2), working hours (≤8, 9–10, or ≥11 hours/day), and being bad mouthed or discriminated against in relation to COVID-19 (yes or no). *Low: those who did not engage in COVID-19-related work. †Moderate: those who engaged in COVID-19-related work without high exposure to SARS-CoV-2 at work. ‡High: those who engaged in COVID-19-related work with high exposure to SARS-CoV-2 at work.

Discussion

In the present study, we found that the presence of chronic physical condition(s) was significantly associated with depressive symptoms among workers at a national medical institution designated for COVID-19 treatment in Japan. The magnitude of the association was larger in healthcare workers who had a higher occupational risk of SARS-CoV-2 infection than those who did not engage in COVID-19-related work. While we are not aware of any study that examined the association between chronic physical conditions and depression/depressive symptoms among healthcare workers during this pandemic, our findings were consistent with those reported in previous studies that examined the association among general populations [17, 18]. For example, a recent systematic review [17] of three cross-sectional studies [19-21] concluded that individuals with chronic physical conditions were more likely to have mental illness (e.g., depressive symptoms, anxiety symptoms) than those without any chronic physical condition during the COVID-19 pandemic. We also found that the magnitude of the association was greater for healthcare workers with chronic physical condition(s) who engaged in COVID-19-related work with a potential risk of SARS-CoV-2 infection compared with those who did not engage in COVID-19-related work. A possible interpretation is that those with such conditions who were at a higher occupational risk of SARS-CoV-2 infection may have higher perceived psychological stress, given that the combination of these conditions may put them at a higher risk of becoming severely ill or dying due to COVID-19 [5, 6]. For example, recent studies revealed that working at the frontlines and having direct contact with infected patients contributed to a higher proportion of mental health issues among healthcare workers during this pandemic [22-24]. Psychological stress associated with such working conditions (e.g., high degree of exposure to the virus and fear of infection) [25, 26] may worsen mental health issues in those with chronic physical conditions. Thus, frontline healthcare workers, especially those with chronic physical conditions, are physically and psychologically challenged while committing themselves to caring for infected patients, given that they are at a high risk of infection and are more susceptible to adverse health outcomes. The present as well as previous studies conducted among the general population [17, 18] provide robust evidence on the association between chronic physical conditions and depression/depressive symptoms during the COVID-19 pandemic. Given that there has been a growing number of ageing population and thus, people with chronic physical conditions in Japan [27] as well as other countries [28], the association should be more extensively studied. It is possible that people with chronic physical conditions experience depressive symptoms as they might have fear of being infected and developing severe COVID-19 outcome or they might isolate themselves and make adverse changes in lifestyle behaviors (e.g., decreased physical activity, alcohol drinking) as a consequence of perceiving the risk and stress associated with having chronic physical conditions, which may worsen their physical conditions and affect mental health. Such psychological stress might further exacerbate their physical conditions and affect mental health. Thus, this finding underscores the urgency that we should be aware of their conditions and pay further attention for both physical and psychological care management and treatment for people with chronic physical conditions. The major strength of the present study was taking the occupational infection risk into account while examining the association between chronic physical conditions and depressive symptoms. However, this study had several limitations. First, the cross-sectional design did not allow assessment of the temporal association between chronic physical conditions and depressive symptoms. Second, the information used in this study was self-reported, which might have been subject to recall bias. Third, we did not have detailed information on the severity of each chronic physical condition, which might have been an important omission for investigating the association with depressive symptoms. Fourth, we assessed depressive symptoms using a self-administered questionnaire without clinical diagnosis by a psychiatrist; however, the PHQ-9 has been validated to assess depressive symptoms. Finally, this study was conducted in a medical institution designated for COVID-19; thus, the findings might not be generalizable to other settings. In conclusion, this cross-sectional study provided evidence on the association between chronic physical conditions and depressive symptoms during the COVID-19 pandemic. Our findings warrant paying more attention and providing more assistance to those with chronic physical conditions regarding the prevention and control of mental health issues, particularly among frontline healthcare workers engaging in COVID-19-related work.

Information on chronic physical conditions (n = 486)*.

(DOCX) Click here for additional data file. 24 Jan 2022
PONE-D-21-28081
Association between chronic physical conditions and depressive symptoms among hospital workers in a national medical institution designated for COVID-19 in Japan
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For more information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. In your revised cover letter, please address the following prompts: a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially sensitive information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent. b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. We will update your Data Availability statement on your behalf to reflect the information you provide. 6. Please include a separate caption for each figure in your manuscript. Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: No ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: This study of chronic physical conditions and depression among over 2000 healthcare workers at a COVID-19 treatment center in Japan provides important insight into the drivers of mental health issues during COVID-19 for this population. The methods are strong and the manuscript is well written. METHODS Ln 42. It’s not clear why participants who reported depression, hay fever, or low back pain were excluded, is it just because these were not the chronic physical conditions of interest? If so, I would frame in terms of inclusion rather than exclusion criteria. Ln 99-101. Please provide more context for the inclusion of these questions about being bad-mouthed or discriminated against. Is this because they work in a hospital designated for COVID-19 treatment? t’s not clear how this is COVID-related or how it’s relevant to the research question. If there is a culturally specific rationale, it would be helpful to explain this. DISCUSSION It would be good to place these findings in context with the physical and mental health of the Japanese population more generally. Also, how is mental health conceptualized in Japan more broadly? Is there a lot of stigma that could result in underreporting, particularly in the healthcare worker population? Reviewer #2: Thanks for the opportunity to review the manuscript "Association between chronic physical conditions and depressive symptoms among hospital workers in a national medical institution designated for COVID-19 in Japan". The work deals with an interesting topic. However, I think some adjustments are needed before publication. I hope you find my comments useful. I would rewrite the abstract to provide a more concise and detailed idea of your work. Specify how the influence of the risk of SARS-CoV-2 infection has been considered. Try replacing "workers with the condition" with something clearer. Also, I would write from October to December 2020 instead of “or”. The introduction section should be recasted. The authors need to provide a theoretical background on the relationship between chronic physical conditions and depressive symptoms, which theories and theoretical frameworks can justify the association and explain the underlying mechanisms (e.g., loss of autonomy, social isolation, redefinition of one's identity etc.), previous studies on the topic trying to focus on some of the specific conditions of the sample. Then, try to contextualize everything with reference to the COVID-19 emergency, I think this aspect should be emphasized also to provide a novelty. If you hypothesize that the risk of SARS-CoV-2 infection has an influence on the relationship between physical and depressive symptoms, try to justify why. Line 16. You should put the reference about the scarcity of the studies. In the methods sections you write chronic diseases, I think this definition (instead of physical symptoms) should be used even in the abstract/introduction and throughout the paper. Try to explain more clearly how you classified the groups based on the degree of possible exposure to SARS-CoV-2, I understood the process but I think the authors could rewrite it to explain it better. I suggest modifying the discussion section to better explain the findings by describing how they fit into the context of the previous literature and directions for future research. Consider adding some clinical and practical implications. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 16 Mar 2022 We uploaded the response letter for the editor and reviewers. Please see the attached document. Submitted filename: Response Letter_comobdep_Fukunaga_final.docx Click here for additional data file. 18 Mar 2022 Association between chronic physical conditions and depressive symptoms among hospital workers in a national medical institution designated for COVID-19 in Japan PONE-D-21-28081R1 Dear Dr. Fukunaga, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Stephan Doering, M.D. Academic Editor PLOS ONE 30 Mar 2022 PONE-D-21-28081R1 Association between chronic physical conditions and depressive symptoms among hospital workers in a national medical institution designated for COVID-19 in Japan Dear Dr. Fukunaga: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Professor Stephan Doering Academic Editor PLOS ONE
  26 in total

Review 1.  Multimorbidity and depression: A systematic review and meta-analysis.

Authors:  Jennifer R Read; Louise Sharpe; Matthew Modini; Blake F Dear
Journal:  J Affect Disord       Date:  2017-06-14       Impact factor: 4.839

2.  Fear of severe acute respiratory syndrome (SARS) among health care workers.

Authors:  Samuel M Y Ho; Rosalie S Y Kwong-Lo; Christine W Y Mak; Joe S Wong
Journal:  J Consult Clin Psychol       Date:  2005-04

3.  Factors affecting mental health of health care workers during coronavirus disease outbreaks (SARS, MERS & COVID-19): A rapid systematic review.

Authors:  Niels De Brier; Stijn Stroobants; Philippe Vandekerckhove; Emmy De Buck
Journal:  PLoS One       Date:  2020-12-15       Impact factor: 3.240

4.  Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Authors: 
Journal:  Lancet       Date:  2018-11-08       Impact factor: 79.321

5.  Thyroid disease and hypothyroidism are associated with poor COVID-19 outcomes: A systematic review, meta-analysis, and meta-regression.

Authors:  Fachreza Aryo Damara; Galih Ricci Muchamad; Rizkania Ikhsani; Anisa Hana Syafiyah; Muhammad Hasan Bashari
Journal:  Diabetes Metab Syndr       Date:  2021-10-22

6.  Dyslipidemia Increases the Risk of Severe COVID-19: A Systematic Review, Meta-analysis, and Meta-regression.

Authors:  Indriwanto Sakidjan Atmosudigdo; Michael Anthonius Lim; Basuni Radi; Joshua Henrina; Emir Yonas; Rachel Vania; Raymond Pranata
Journal:  Clin Med Insights Endocrinol Diabetes       Date:  2021-03-24

7.  Seroprevalence of SARS-CoV-2 antibodies in a national hospital and affiliated facility after the second epidemic wave of Japan.

Authors:  Shohei Yamamoto; Akihito Tanaka; Yusuke Oshiro; Masamichi Ishii; Hironori Ishiwari; Maki Konishi; Kouki Matsuda; Mitsuru Ozeki; Kengo Miyo; Kenji Maeda; Tetsuya Mizoue; Wataru Sugiura; Hiroaki Mitsuya; Haruhito Sugiyama; Norio Ohmagari
Journal:  J Infect       Date:  2021-05-25       Impact factor: 6.072

Review 8.  Stigmatization from Work-Related COVID-19 Exposure: A Systematic Review with Meta-Analysis.

Authors:  Melanie Schubert; Julia Ludwig; Alice Freiberg; Taurai Monalisa Hahne; Karla Romero Starke; Maria Girbig; Gudrun Faller; Christian Apfelbacher; Olaf von dem Knesebeck; Andreas Seidler
Journal:  Int J Environ Res Public Health       Date:  2021-06-08       Impact factor: 4.614

Review 9.  The Psychological Impact of Epidemic and Pandemic Outbreaks on Healthcare Workers: Rapid Review of the Evidence.

Authors:  Emanuele Preti; Valentina Di Mattei; Gaia Perego; Federica Ferrari; Martina Mazzetti; Paola Taranto; Rossella Di Pierro; Fabio Madeddu; Raffaella Calati
Journal:  Curr Psychiatry Rep       Date:  2020-07-10       Impact factor: 5.285

10.  Anemia is associated with severe coronavirus disease 2019 (COVID-19) infection.

Authors:  Timotius Ivan Hariyanto; Andree Kurniawan
Journal:  Transfus Apher Sci       Date:  2020-08-28       Impact factor: 1.764

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