Literature DB >> 35794125

Changes in lifestyles and depressive symptom among patients with chronic diseases during COVID-19 lockdown.

Wei He1,2, Xueyin Zhao1,2, Zhiying Yang1,2, Yan Min3,4, Yi-Hsuan Wu3, Qingcong Kang1,2, Eleanor Frost3, Peng Gao1,2, Yang Yang1,2, Xinyu Chen1,2, Lijin Chen1,2, Ying Lu5, Ann W Hsing6,7,8, Shankuan Zhu9,10.   

Abstract

This study aims to investigate the impact of COVID-19 lockdown on lifestyle behaviors and depressive symptom among patients with NCDs (noncommunicable diseases). We incorporated a COVID-19 survey to the WELL China cohort, a prospective cohort study with the baseline survey conducted 8-16 months before the COVID-19 outbreak in Hangzhou, China. The COVID-19 survey was carried out to collect information on lifestyle and depressive symptom during lockdown. A total of 3327 participants were included in the COVID-19 survey, including 2098 (63.1%) reported having NCDs at baseline and 1457 (44%) without NCDs. The prevalence of current drinkers decreased from 42.9% before COVID-19 lockdown to 23.7% during lockdown, current smokers from 15.9 to 13.5%, and poor sleepers from 23.9 to 15.3%, while low physical activity increased from 13.4 to 25.2%, among participants with NCDs (P < 0.05 for all comparisons using McNemar's test). Participants with NCDs were more likely than those without to have depressive symptom (OR, 1.30; 95% CI 1.05-1.61), especially among those who need to refill their medication during the COVID-19 lockdown (OR, 1.52; 95% CI 1.15-2.02). Our findings provide insight into the development of targeted interventions to better prepare patients with NCDs and healthcare system to meet the challenge of future pandemic and lockdown.
© 2022. The Author(s).

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Year:  2022        PMID: 35794125      PMCID: PMC9257558          DOI: 10.1038/s41598-022-15333-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


Introduction

Since 2020, Coronavirus Disease 2019 (COVID-19) has been diagnosed in over 500 million individuals and caused over six million deaths worldwide as of May 4th, 2022[1], posing an unprecedented challenge to the healthcare system. In China, a total of 1,210,601 cases have been confirmed, including 15,372 deaths[1]. Between February and March 2020, China issued a two-month lockdown due to COVID-19 pandemic, mandating all individuals (unless authorized otherwise) to stay at home and stop outdoor activity and social gathering[2]. During the lockdown period, people’s lives changed drastically, and depressive symptom is likely to be triggered[3-5]. COVID-19 patients who died were generally older, with a history of noncommunicable diseases (NCDs)[6,7]. Therefore, patients with NCDs may experience more psychological burden during the COVID-19 pandemic or COVID-19 lockdown. It is estimated that 244.5 million people have been diagnosed with hypertension[8], 92.4 million with diabetes[9], and 94 million with cardiovascular disease in China[10]. These patients generally have a much higher risk of COVID-related morbidity and mortality, and even without COVID infection, their treatment for NCD and quality of life can be affected during the pandemic lockdown due to the impact of health care access and medication refill. Few studies have investigated the impact of COVID-19 lockdown on NCD patients in a community setting. Within the WELL China cohort that has collected baseline data 8–16 months before COVID-19, we incorporated a survey one month after the COVID-19 lockdown to investigate the impact of COVID-19 lockdown on lifestyle behaviors and depressive symptom among 3327 cohort members in the Gongshu District, Hangzhou, China.

Results

Baseline characteristics

Table 1 lists the baseline characteristics of 3327 study participants by NCDs status. Over three in five (63.1%) of the participants had NCDs. As shown, participants with NCDs were more likely to be older, widowed, obese, and having worse sleep quality.
Table 1

Baseline characteristics among 3327 participants with and without non-communicable diseases.

Baseline characteristicsNon-communicable diseases*P value*
No (n = 1229)Yes (n = 2098)
Age (years)< 0.001
< 45377 (30.7)257 (12.2)
45–64688 (56.0)1114 (53.1)
≥ 65164 (13.3)727 (34.7)
Gender0.912
Male461 (37.5)791 (37.7)
Female768 (62.5)1307 (62.3)
Marital status< 0.001
Unmarried86 (7.0)58 (2.8)
Married1080 (88.0)1882 (89.7)
Divorced31 (2.5)57 (2.7)
Widowed30 (2.4)101 (4.8)
Unknown20
Body mass index (kg/m2)< 0.001
< 25906 (73.8)1309 (62.4)
25–29291 (23.7)691 (33.0)
≥ 3030 (2.4)97 (4.6)
Unknown21
Smoking< 0.001
Never938 (76.5)1621 (77.3)
Former48 (3.9)144 (6.9)
Current240 (19.6)333 (15.9)
Unknown30
Drinking0.005
Never722 (58.9)1157 (55.1)
Former10 (0.8)43 (2.0)
Current494 (40.3)898 (42.8)
Unknown30
Eating irregularly0.040
No1153 (94.5)2014 (96.0)
Yes67 (5.5)83 (4.0)
Unknown91
Sleep quality< 0.001
Very good331 (27.1)46 6(22.2)
Fairly good681 (55.7)1132 (54.0)
Fairly bad190 (15.5)443 (21.1)
Very bad20 (1.6)56 (2.7)
Physical activity< 0.001
Low235 (20.9)281 (14.0)
Moderate601 (53.4)1181 (58.9)
Vigorous289 (25.7)544 (27.1)
Unknown10492

Data were presented as number (%).

*p value was derived from Chi-Square test.

†Sleep quality was self-reported as very good, fairly good, fairly bad, or very bad.

Baseline characteristics among 3327 participants with and without non-communicable diseases. Data were presented as number (%). *p value was derived from Chi-Square test. †Sleep quality was self-reported as very good, fairly good, fairly bad, or very bad.

Lifestyle changes during COVID-19 lockdown

Figure 1 shows lifestyle changes among study participants by NCD status. Among individuals with NCDs, the prevalence for current alcohol drinkers and current smoker decreased from 42.9 to 23.7% (P < 0.05 using McNemar's test) and 15.9–13.5% (P < 0.05 using McNemar's test), respectively. Participants with self-reported poor sleep quality decreased from 23.9 to 15.3% (P < 0.05 using McNemar’s test). However, low physical activity increased from 13.4 to 25.2% (P < 0.01 using McNemar's test). Similar patterns were found when we restricted our analyses to participants without NCDs.
Figure 1

Lifestyle before and during the nationwide COVID-19 lockdown in Hangzhou, China. *p < 0.05, for the difference before and during lockdown using McNemar's test.

Lifestyle before and during the nationwide COVID-19 lockdown in Hangzhou, China. *p < 0.05, for the difference before and during lockdown using McNemar's test.

Changes in prevalence of depressive symptom during COVID-19 lockdown

Figure 2 shows the prevalence of depressive symptom among individuals with and without NCDs before COVID and during the COVID-19 lockdown. Among individuals with NCDs, the prevalence of depressive symptom during COVID-19 lockdown was 21.4% (95 CI 19.6–23.2%), significantly higher than the 13.8% (95% CI 12.3–15.3%) observed at baseline before the COVID-19 lockdown. Similar results were seen for individuals without NCDs.
Figure 2

Depressive symptom before and during the nationwide COVID-19 lockdown in Hangzhou, China. *p < 0.05, for the difference before and during lockdown using McNemar's test.

Depressive symptom before and during the nationwide COVID-19 lockdown in Hangzhou, China. *p < 0.05, for the difference before and during lockdown using McNemar's test. Table 2 shows the associations between selected characteristics and incident depressive symptom during the lockdown. As shown, younger age and the need to refill medication were associated with a higher risk of having incident depressive symptom during COVID-19 lockdown, whereas maintaining moderate to vigorous physical activity was associated with lower risk of depressive symptom. Further analyses combining NCDs and need to refill medication found that, as compared with no NCDs, NCDs with no need to refill medications was associated with 1.29 (95% Cis 1.04–1.58) times increased risk, and NCDs with need to refill medication was associated with 1.48 (95% CI 1.07–2.06) times increased risk of having incident depressive symptom during COVID-19 lockdown.
Table 2

Selected characteristics and their relation with incident depressive symptom during the COVID-19 lockdown (n = 2820).

Incident depressive symptom during lockdownNo./total (%)sNOdds ratios (95% CIs)
Age-adjusted*Multivariable adjusted
Baseline characteristics
Age (years)
 < 45126/499 (25.3)1.60 (1.26–2.04)1.69 (1.31–2.17)
 45–64271/1554 (17.4)1.00 (reference)1.00 (reference)
 ≥ 65149/767 (19.4)1.14 (0.91–1.42)1.06 (0.85–1.34)
Non-communicable disease
 No183/1042 (17.6)1.00 (reference)1.00 (reference)
 Yes363/1778 (20.4)1.31 (1.07–1.62)1.30 (1.05–1.61)
Gender
 Male214/1066 (20.1)1.00 (reference)
 Female332/1754 (18.9)0.94 (0.78–1.14)
Marital status
 Unmarried23/98 (23.5)0.96 (0.58–1.59)
 Married484/2549 (19.0)1.00 (reference)
 Divorced12/66 (18.2)0.93 (0.49–1.75)
 Widowed27/107 (25.2)1.50 (0.95–2.37)
Body mass index, kg/m2
 < 25352/1861 (18.9)1.00 (reference)
 25–29169/852 (19.8)1.09 (0.89–1.34)
 ≥ 3024/104 (23.1)1.26 (0.79–2.02)
 Unknown1/3
Smoking
 Never419/2162 (19.4)1.00 (reference)
 Former33/174 (19.0)1.01 (0.68–1.49)
 Current94/483 (19.5)1.01 (0.79–1.29)
 Unknown0/1
Drinking
 Never323/1585 (20.4)1.00 (reference)1.00 (reference)
 Former14/44 (31.8)1.91 (1.00–3.65)1.84 (0.95–3.55)
 Current209/1190 (17.6)0.83 (0.68–1.00)0.84 (0.69–1.02)
 Unknown0/1
Eating irregularly
 No525/2710 (19.4)1.00 (reference)
 Yes20/105 (19.0)0.92 (0.56–1.52)
 Unknown1/5
Sleep quality
 Very good142/707 (20.1)1.00 (reference)
 Fairly good302/1615 (18.7)0.89 (0.71–1.11)
 Fairly bad95/454 (20.9)1.03 (0.77–1.38)
 Very bad7/39 (17.9)0.89 (0.39–2.07)
Physical activity
 Low82/406 (20.2)1.00 (reference)
 Moderate272/1524 (17.8)0.91 (0.69–1.20)
 Vigorous161/739 (21.8)1.19 (0.88–1.61)
 Unknown31/151
Characteristics during lockdown
Maintaining moderate to vigorous physical activity
 No197/850 (23.2)1.00 (reference)1.00 (reference)
 Yes268/1494 (17.9)0.76 (0.62–0.94)0.77 (0.62–0.95)
 Unknown81/476
Need to refill medication
 No343/2051 (16.7)1.00 (reference)1.00 (reference)
 Yes83/352 (23.6)1.62 (1.23–2.15)1.52 (1.15–2.02)
 Unknown120/417

Dashes indicate inapplicable or not included in the model. Women with depressive symptom at baseline were excluded from this analyses.

*Variables were not included in the multivariable model if they were not significantly associated with incident depressive symptom in the univariable models.

†Adjusting all variables listed in this column.

Selected characteristics and their relation with incident depressive symptom during the COVID-19 lockdown (n = 2820). Dashes indicate inapplicable or not included in the model. Women with depressive symptom at baseline were excluded from this analyses. *Variables were not included in the multivariable model if they were not significantly associated with incident depressive symptom in the univariable models. †Adjusting all variables listed in this column.

Discussion

In this large population-based survey, we showed that during the COVID-19 lockdown in China, the prevalence of low physical activity and depressive symptom increased, while the prevalence of current smoking, drinking, and poor sleep quality decreased. Younger age (< 45 years) and the need for medication refill were associated with a higher risk of having incident depressive symptom during the lockdown, whereas maintaining moderate to vigorous physical activity was associated with lower risk of having depressive symptom during COVID-19 lockdown. Our finding on lifestyle behavior changes during the lockdown period in China provides information on the impact of the COVID-19 pandemic. The lockdown prohibited people from going out and exercising outdoors, likely resulting in the higher prevalence of low physical activity and excessive sitting, which may translate to increased risk of chronic diseases[11]. In contrast, reduced alcohol drinking and smoking, and improved sleep quality are positive changes related to health and well-being during this lockdown period. It is possible that NCDs patients may benefit from the lockdown by reducing risky behaviors and improved sleep. Follow up and further research should investigate the short-term benefits of these behavior changes in patients with NCDs and whether these improvements in healthy lifestyle remain after the lockdown period. Depressive symptom increased from 13.7% at baseline (before lockdown) to 20.7% during lockdown, suggesting an adverse impact of lockdown on mental health. This results in consistent with previous findings on general population[12]. Given the extent of the COVID-19 lockdown worldwide, this high prevalence of depressive symptom suggests that millions of individuals may experience mental health stress during the COVID-19 lockdown. Traditional psychological crisis intervention, e.g., face-to-face contact with qualified mental health professionals, is not likely to be readily available to all who need it. Psychological service system should thus be, and is being re-formed to incorporate novel strategies (e.g. online mental health service and telephone-based psychological counselling) to better tackle psychological problem during the COVID-19 epidemic[13,14]. Lack of medical support may also lead to newly emerged depressive symptom among NCDs patients since they were not able to visit the clinic in person for follow up, in particular for imaging or examinations that need in-person service. In addition, in our study, the need to refill medication was associated with a higher risk of having incident depressive symptom during COVID-19 lockdown, suggesting that lack of medication for their chronic conditions may result in concerns and anxiety, leading to depressive symptoms. This concern is further highlighted by the fact that over 70% of patients with chronic diseases have reported inadequate availability of medicine during COVID-19 lockdown[15]. Collectively, these data suggest the importance of providing adequate clinical support, either through telemedicine or special arrangements (e.g., involving community pharmacists[16] or delegating someone else for medication pick-up[17]), for high-risk individuals, such as patients with chronic diseases during future outbreaks or lockdown to minimize mortality. In addition, mental health of patients with chronic disease needs to be taken into account to minimize anxiety and mental breakdown to minimize the deterioration of the underlying conditions. The key strength of our study is having longitudinal data on the same individuals before and during COVD-19 in a large population-based study. Limitation of the study should be noted. First, all our data are self-reported, thereby some misclassification is possible. Second, the follow up survey was carried out one month after the lockdown already completed, thereby some recall issues may contribute to misclassification of information. Third, generalizability of our results is limited as access to health care and support vary greatly in different country. In conclusion, in this community-based study, we found that COVID-19 lockdown significant impact lifestyle and quality of life among individuals with chronic diseases. These results provide the basis for targeted prevention to better prepare NCD patients, community, and healthcare system to meet the challenge in future outbreaks or lockdown.

Methods

Study population

Subjects were a subset of the Wellness Living Laboratory (WELL)-China study. Details of the WELL-China cohort are Described elsewhere[18-20]. Briefly, WELL-China is a population-based cohort for the investigation of well-being in Hangzhou, Zhejiang province, China. In this COVID-19 Study, we surveyed the 4144 WELL-China participants who completed their baseline survey in Gongshu District, Hangzhou, China, between October 2018 and May 2019, which is 8–16 months before the COVID-19-related nationwide lockdown. For the COVID-19 survey, we conducted a telephone survey in April 2020, around one month after the lockdown, to collect information on lifestyle, mental health and medical access during the 2-month lockdown (between February and March, 2020; Shelter in Place) period. Of the 4144 participants at baseline, 3356 responded to the telephone survey (81% response rate). We excluded 27 participants who did not report their baseline NCDs conditions, leaving 3329 for the final analysis. The WELL-China project was approved by the ethics review board at both Zhejiang University (No. ZGL201507-3) in China and Stanford University (IRB-35020) in USA. All participants provided written informed consent. The follow-up telephone interview was further approved by the ethics review board at Zhejiang University (No. ZGL202004-01). We conducted this study in accordance with the latest revised ethical guidelines of the Declaration of Helsinki.

Baseline data collection

During 2018–2019, face-to-face interviews were performed to collect baseline characteristics before the COVID-19 outbreak. Information on noncommunicable diseases (NCDs) was assessed and included self-reported history of diagnosed diabetes, hypertension, cardiovascular disease, cancer, endocrine and metabolic diseases, osteoarthritis, digestive system diseases, respiratory system diseases, mental diseases, urinary system diseases, nervous system diseases, immune diseases, and allergies at baseline. Smoking status and alcohol consumption were categorized as never, former, or current. Sleep quality was self-reported as very good, fairly good, fairly bad, or very bad. Eating behavior was categorized into not regular, mostly regular, or very regular. Physical activity was measured using the short version of the International Physical Activity Questionnaire, and were classified into three categories: low; moderate; and vigorous[21].

Follow-up data collection

We used telephone follow-up survey to collect the same information on lifestyles and WHO-5 as well as medication refill during the lockdown period. Participants who reported moderate to vigorous physical activity both at baseline and during follow-up survey was defined as maintaining moderate to vigorous physical activity.

Depressive symptom

The WHO-Five Well-being Index (WHO-5) was used to assess depressive symptom. The WHO-5 tool is a five-item self-report instrument that assesses well-being (e.g., “I have felt calm and relaxed”) over the past two weeks on a 6-point Likert scale (0 = “not present,” to 5 = “constantly present”). Scores on the WHO-5 range from 0 to 25, and higher scores indicate greater well-being. The WHO-5 has demonstrated good reliability and validity and the ability to identify adults experiencing depression in medical settings in several countries across Africa, Asia, Australia, Europe, North America, and South America[22]. The five items included: (1) “I have felt calm and relaxed”, (2) “I have felt cheerful and in good spirits”, (3) “I have felt active and vigorous”, (4) “My daily life has been filled with things that interest me” and (5) “I woke up feeling fresh and rested”[22]. Depressive symptom was then defined as the participants has answered 0 (at no time) to 1 (some of the time) to any of the five items or if the WHO-5 raw score below 13[23]. Participants who were classified to have depressive symptom in 2020 during the COVID-19 lockdown but not at baseline (2018–2019) were classified as having incident depressive symptom.

Statistical analysis

Chi-square tests were used to assess whether baseline characteristics differed between participants with and without NCDs. McNemar's tests were used to investigate the change in lifestyle and mental health between before and during the COVID19 lockdown. Univariable and multivariable logistic regressions were used to investigate the association between baseline characteristics and incident depressive symptom during COVID-19 lockdown, among participants with and without NCDs. We used STATA, version 13 (STATA, College Station, TX), for all the analyses. All statistical tests were two-sided, and statistical significance was defined as P < 0.05.
  21 in total

1.  Reliability and validity of the International Physical Activity Questionnaire (IPAQ).

Authors:  Pedro Curi Hallal; Cesar Gomes Victora
Journal:  Med Sci Sports Exerc       Date:  2004-03       Impact factor: 5.411

2.  Status of Hypertension in China: Results From the China Hypertension Survey, 2012-2015.

Authors:  Zengwu Wang; Zuo Chen; Linfeng Zhang; Xin Wang; Guang Hao; Zugui Zhang; Lan Shao; Ye Tian; Ying Dong; Congyi Zheng; Jiali Wang; Manlu Zhu; William S Weintraub; Runlin Gao
Journal:  Circulation       Date:  2018-02-15       Impact factor: 29.690

3.  Burden of Cardiovascular Diseases in China, 1990-2016: Findings From the 2016 Global Burden of Disease Study.

Authors:  Shiwei Liu; Yichong Li; Xinying Zeng; Haidong Wang; Peng Yin; Lijun Wang; Yunning Liu; Jiangmei Liu; Jinlei Qi; Sha Ran; Shiya Yang; Maigeng Zhou
Journal:  JAMA Cardiol       Date:  2019-04-01       Impact factor: 14.676

4.  Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China.

Authors:  Chaomin Wu; Xiaoyan Chen; Yanping Cai; Jia'an Xia; Xing Zhou; Sha Xu; Hanping Huang; Li Zhang; Xia Zhou; Chunling Du; Yuye Zhang; Juan Song; Sijiao Wang; Yencheng Chao; Zeyong Yang; Jie Xu; Xin Zhou; Dechang Chen; Weining Xiong; Lei Xu; Feng Zhou; Jinjun Jiang; Chunxue Bai; Junhua Zheng; Yuanlin Song
Journal:  JAMA Intern Med       Date:  2020-07-01       Impact factor: 21.873

5.  Cohort Profile: WELL Living Laboratory in China (WELL-China).

Authors:  Yan Min; Xueyin Zhao; Randall S Stafford; Xiaoguang Ma; Shih-Hua Chen; Da Gan; Chen Wei; Chao Huang; Lijin Chen; Peng Gao; Fei Yang; Sandra J Winter; Yi-Hsuan Wu; Catherine A Heaney; Mike Baiocchi; John P A Ioannidis; Ann W Hsing; Shankuan Zhu
Journal:  Int J Epidemiol       Date:  2021-11-10       Impact factor: 7.196

6.  Sex-specific association between gut microbiome and fat distribution.

Authors:  Yan Min; Xiaoguang Ma; Kris Sankaran; Yuan Ru; Lijin Chen; Mike Baiocchi; Shankuan Zhu
Journal:  Nat Commun       Date:  2019-06-03       Impact factor: 14.919

7.  COVID-19: Disease, management, treatment, and social impact.

Authors:  Imran Ali; Omar M L Alharbi
Journal:  Sci Total Environ       Date:  2020-04-22       Impact factor: 7.963

8.  Effect of COVID-19 lockdown on patients with chronic diseases.

Authors:  Muhammad Arif Nadeem Saqib; Shajee Siddiqui; Muhammad Qasim; Muhammad Azhar Jamil; Ibrar Rafique; Usman Ayub Awan; Haroon Ahmad; Muhammad Sohail Afzal
Journal:  Diabetes Metab Syndr       Date:  2020-08-27

9.  Online mental health services in China during the COVID-19 outbreak.

Authors:  Shuai Liu; Lulu Yang; Chenxi Zhang; Yu-Tao Xiang; Zhongchun Liu; Shaohua Hu; Bin Zhang
Journal:  Lancet Psychiatry       Date:  2020-02-19       Impact factor: 27.083

10.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

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