Literature DB >> 36126037

A tale of osteoarthritis among older adults during the COVID-19 pandemic in Bangladesh: A repeated cross-sectional study.

Sabuj Kanti Mistry1,2,3, A R M Mehrab Ali1, Uday Narayan Yadav2,4, Rajat Das Gupta5, Afsana Anwar6, Saurav Basu7, Md Nazmul Huda1,8,9, Dipak Kumar Mitra10.   

Abstract

BACKGROUND: Due to restrictions in social gatherings imposed due to the COVID-19 pandemic, physical and other daily activities were limited among the older adults. The present study aimed to estimate the change in osteoarthritis prevalence among older adults during the COVID-19 pandemic in Bangladesh.
METHODS: This repeated cross-sectional study was conducted through telephone interviews among older adults aged 60 years and above on two successive occasions (October 2020 and September 2021) during the COVID-19 pandemic in Bangladesh. The prevalence of osteoarthritis was measured by asking the participants if they had osteoarthritis or joint pain problems.
RESULTS: A total of 2077 participants (1032 in 2020-survey and 1045 in 2021-survey) participated in the study. The prevalence of self-reported joint pains or osteoarthritis significantly increased from 45.3% in 2020 to 54.7% in 2021 (P = 0.006), with an increasing odd in the adjusted analysis (aOR 1.27, 95% CI 1.04-1.54). We also found that osteoarthritis prevalence significantly increased among the participants from the Chattogram and Mymensingh divisions, aged 60-69 years, males, married, rural residents, and living with a family. A significant increase was also documented among those who received formal schooling, had a family income of 5000-10000 BDT, resided with a large family, were unemployed or retired, and lived away from a health facility.
CONCLUSIONS: Our study reported a significant increased prevalence of osteoarthritis among older adults from 2020 to 2021 during this pandemic in Bangladesh. This study highlights the need for the development and implementation of initiatives for the screening and management of osteoarthritis through a primary health care approach during any public health emergencies.

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Year:  2022        PMID: 36126037      PMCID: PMC9488814          DOI: 10.1371/journal.pone.0274838

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Introduction

The world has been combating an unprecedented COVID-19 pandemic since early 2020 [1]. Globally, over 585 million confirmed cases had been identified with over 64 million deaths, while Bangladesh has seen over 2.0 million confirmed cases with 29,308 deaths as of December 15, 2021 [2]. COVID-19 has created a profound impact on the lives of people with chronic disease due to the diverse nexus of intertwined socio-cultural and biological factors [3]. Given strict lockdown restrictions in many countries during a pandemic, the risk of developing osteoarthritis among older adults could have been mounted because of increased age, higher body mass index (BMI), and reduced physical activity [4]. Osteoarthritis, also refers to as joint pains, is a significant cause of disability and is the most common type of arthritis, affecting 10% of the global population aged 60 years and above [5, 6]. The older population (aged ≥60 years) is projected to double and triple by 2050 and 2100, respectively. It is anticipated that osteoarthritis is primarily related to aging, becoming the leading cause of disability by 2030 [7]. The global prevalence of knee osteoarthritis was estimated to 22.9% in the population aged 40 and above [8]. Osteoarthritis is a prime contributor to the global disability burden and was ranked as the 15th highest cause of years lived with disability (YLDs) in the year 2019 [9], causing a significant financial burden to the health system and societally [6]. Osteoarthritis as comorbidity frequently exists with other non-communicable diseases like heart disease, diabetes, and mental health problems, resulting in further deterioration in the patient’s quality of life [9]. According to Osteoarthritis Research Society International (OARSI), physical exercise, physical mobility, and a balanced diet are the core management strategies followed for patients with arthritis [10]. Lockdown measures with increased social isolation, poor social support, the presence of other medical complications, functional disabilities, and loss of physical exercise opportunities can make people more vulnerable to osteoarthritis [11]. The increase of life span in developing countries, including Bangladesh, correlates with an increase in the prevalence of degenerative disorders such as osteoarthritis. Symptomatic management and promotion of physical exercise are considered the mainstay of osteoarthritis management as it lacks an effective pharmaceutical therapy [5]. However, established guideline to fight against COVID-19 implies “stay at home” and physical distancing” and to implement this strict lockdown had limited the scope of physical exercise for adult people [4]. Home quarantine, and lockdown increasing the probability of ignoring the need of older adults may have complicated the treatment of osteoarthritis. Reduced physical activities also lead to anxiety, and lack of self-motivation may aggravate the disease symptoms [12]. Due to imposed lockdown, cancellation of various events, and social gatherings [13], Bangladeshi older adults have faced challenges in maintaining physical activities and other daily activities. Forms of physical exercise for older adults in Bangladesh are mainly based on social gatherings in tea stalls, parks, larger fields, walking with groups, visiting nearby houses, and doing some chores like grocery shopping, which were limited during these restriction periods. Restrictions in transportation during pandemic also have limited the access to medical care, physiotherapy sessions, etc., in Bangladesh [13]. These issues could have made older adults more vulnerable to osteoarthritis during the pandemic period in Bangladesh. Emerging evidence from Bangladesh reported a high prevalence of osteoarthritis and related illnesses among the older population in Bangladesh [14-18]. One study reported that 12.1% of adults aged 60 and above have symptomatic knee osteoarthritis, and the prevalence of osteoarthritis in rural and urban slum and affluent urban communities are 7.5%, 9.2%, and 10.6%, respectively [15]. Findings from the first national survey related to musculoskeletal conditions and related disabilities in Bangladeshi adults show that 30.4% of adults in Bangladesh have musculoskeletal conditions, 7.3% have knee arthritis, and among the adults with musculoskeletal conditions, 24.4% have some form of disabilities [14]. Although a previous study reported an increasing trend in the prevalence of osteoarthritis between 1990 and 2017 [19], we did not find any study that reported the change in osteoarthritis prevalence during the COVID-19 pandemic worldwide, including in Bangladesh. Therefore, to address this knowledge gap, the current study aimed to assess the change in osteoarthritis prevalence during the COVID-19 pandemic and its associated factors among older adults in Bangladesh.

Materials and methods

Study design and participants

This repeated cross-sectional study was conducted on two successive occasions, i.e., October 2020 and September 2021, overlapping with the first and second waves of the COVID-19 pandemic in Bangladesh. The study was conducted remotely through telephone interviews by the Aureolin Research, Consultancy and Expertise Development (ARCED) Foundation. The primary challenge for this study was to develop a sampling frame to select participants. Therefore, we utilised our pre-established registry, which included households from all eight administrative divisions of Bangladesh, as a sampling frame [20]. Considering 50% prevalence of osteoarthritis with a 5% margin of error, at the 95% confidence level, 90% power of the test, and 95% response rate, a sample size of 1096 for each survey was calculated. However, during the 2020 survey, 1032 of the approached eligible participants responded to the survey with an overall response rate of approximately 94%. During the 2021 survey, 1045 of approached eligible participants responded to the study with an overall response rate of approximately 95%. Based on the population distribution of older adults by geography in Bangladesh, we adopted a probability proportionate to size (of the eight-division) approach to select older adults aged ≥60 years in each division [21]. Older adults having adverse mental conditions (clinically proved schizophrenia, bipolar mood disorder, dementia/cognitive impairment), a hearing disability, or an inability to communicate were excluded from the study.

Measures

Outcome measure

The outcome of this study was self-reported joint pains or osteoarthritis. The participants were asked, “Do you have osteoarthritis or joint pain problems in the past twelve months preceding the survey?” The response was coded dichotomously as ‘Yes’ or ‘No’.

Explanatory variables

Explanatory variables considered in this study were administrative division (Barishal, Chattogram, Dhaka, Mymensingh, Khulna, Rajshahi, Rangpur, Sylhet), age (categorised as 60–69, ≥70), gender (male, female), marital status (married, without a partner), formal schooling (without formal schooling, with formal schooling), family size (≤4, >4), family monthly income (Bangladeshi Taka [BDT]) (<5,000, 5,000–10,000, >10,000), residence (urban, rural), current occupation (employed, unemployed, retired), living arrangement (living alone, with family), and walking distance to the nearest health centre (<30 min, ≥30 min).

Data collection tools and techniques

A pre-tested semi-structured questionnaire was used to collect the information via a telephone interview. Data were collected electronically using SurveyCTO mobile app (https://www.surveycto.com/) by trained research assistants, recruited based on previous experience of administering health surveys on the electronic platform. The research assistants were trained extensively before the data collection through Zoom meetings. The English version of the questionnaire was first translated into Bengali language and then back translated to English by two researchers (SKM, AMA) to ensure the contents’ consistency. The questionnaire was then piloted among a small sample (n = 10) of older adults to refine the language in the final version. The tool used in the pilot study did not receive any corrections/suggestions from the participants about the contents developed in the Bengali language.

Statistical analysis

The distribution of the variables was assessed through descriptive analyses. Given our variables’ categorical nature, Chi-square tests were performed to compare differences in the prevalence of osteoarthritis by explanatory variables, with a 5% significance level. We used a binary logistic regression model to estimate the magnitude of association of time (later time compared to an earlier time) with reported osteoarthritis both in the crude model as well as after adjusting for all potential covariates. Crude odds ratio (cOR) and adjusted odds ratio (aOR) with corresponding 95% confidence interval (95% CI) were reported. We checked the multicollinearity in the model using variance inflation factor (VIF), and all VIF values were <5, meaning no multicollinearity. All analyses were performed using the statistical software package Stata (Version 14.0).

Ethics approval

The study protocol was approved by the Institutional Review Board of the Institute of Health Economics, the University of Dhaka, Bangladesh (Ref: IHE/2020/1037). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Verbal consent was sought from the participants before administering the survey. Participation was voluntary, and participants did not receive any compensation.

Patient and public involvement

Patients and/or the public were not involved in developing the research question, study design, conducting study and disseminating results.

Results

Characteristics of the participants

Table 1 shows the characteristics of the study participants by survey year. In survey participant coverage, there was a significant difference across geographic areas; for example, the highest coverage was from the Dhaka division in the 2020-Survey, while the highest coverage was from the Khulna division in the 2021-survey. In both surveys, most participants were 60–69 years old, male, married, without formal schooling, unemployed/retired, and lived with family and in rural areas (Table 1). However, sex, marital status, education, and income significantly differed across the survey years. Compared with the 2020-survey, a considerably lower proportion of participants in the 2021 survey were males (59% in 2021 vs. 66% in 2020), married (77% vs. 81%), and without formal education (52% vs. 58%). The proportion of participants living with family (95% vs. 93%), in rural areas (83% vs. 74%), and in proximity to a health facility (56% vs. 49%) increased significantly between the survey years (Table 1).
Table 1

Characteristics of the participants (n = 2077).

CharacteristicsYear 2020Year 2021P
N%n%
Overall1032100.01045100.0
Administrative division
Barishal14914.414614.00.001
Chattogram13713.3989.4
Dhaka21020.417216.5
Mymensingh636.1696.6
Khulna15815.319819.0
Rajshahi10310.014513.9
Rangpur14414.016115.4
Sylhet686.6565.4
Age (year)
60–6980377.879075.60.385
≥7022922.225524.4
Sex
Male67665.562059.30.004
Female35634.542540.7
Marital status
Married84081.479976.50.006
Without partner19218.624623.5
Formal schooling
No formal schooling60258.354051.70.002
Having formal schooling43041.750548.3
Family size
≤431830.834733.20.243
>471469.269866.8
Family monthly income (BDT)1
<500014514.112111.6<0.001
5000–1000033132.146944.9
>1000055653.945543.5
Residence
Urban26926.118217.4<0.001
Rural76373.986382.6
Current occupation
Employed41940.640739.00.441
Unemployed/retired61359.463861.1
Living arrangement
Living with family95392.399294.90.016
Living alone797.7535.1
Walking distance to the nearest health centre
<30 minute50348.758155.60.002
≥30 minutes52951.346444.4

11 BDT ~ 0.011 USD.

11 BDT ~ 0.011 USD.

Changes in the prevalence of osteoarthritis

Table 2 shows the changes in osteoarthritis prevalence over time and its association with participants’ characteristics. As seen in Table 2, the osteoarthritis prevalence among the participants significantly increased from 45.3% in 2020 to 54.7% in 2021 (P = 0.006).
Table 2

Changes in prevalence of osteoarthritis over time (n = 2077).

CharacteristicsYear 2020Year 2021%difference P
n%osteoarthritisn% osteoarthritis
Overall103245.3104554.79.40.006
Division
Barishal14946.914653.16.10.387
Chattogram13747.99852.14.20.033
Dhaka21053.117246.9-6.20.633
Mymensingh6330.86969.238.50.012
Khulna15841.919858.116.20.425
Rajshahi10342.914557.114.30.776
Rangpur14443.216156.813.60.400
Sylhet6850.05650.00.00.406
Age (year)
60–6980344.379055.711.50.002
≥7022947.525552.55.00.944
Sex
Male67646.562053.57.00.012
Female35644.042556.112.10.452
Marital status
Married84047.479952.65.30.034
Without partners19238.824661.322.50.104
Formal schooling
No formal schooling60238.828561.322.50.104
Having formal schooling43035.720864.328.60.000
Family size
≤431843.834756.312.50.181
>428646.069854.18.10.013
Family monthly income (BDT)1
<500014549.18650.91.90.146
5000–1000012536.123563.927.90.030
>1000020252.417247.7-4.70.274
Residence
Urban26966.718233.3-33.30.044
Rural76339.886360.220.40.000
Current occupation
Employed41948.640751.42.80.469
Unemployed/retired61343.863856.212.50.005
Living arrangement
Living with family38744.239255.811.60.003
Living alone2960.92439.1-21.70.861
Distance from nearest health centre
<30 minute50343.458156.613.20.141
≥30 minutes52947.946452.14.20.031

11 BDT ~ 0.011 USD.

11 BDT ~ 0.011 USD. Table 2 also shows that the osteoarthritis prevalence was significantly increased among the participants who were residing in Chattogram and Mymensingh divisions (47.9% vs 52.1%; 30.8% vs 69.2%, respectively), aged 60–69 years (44.3% vs 55.7%), males (46.5% vs 53.5%), married (47.4% vs 52.6%), rural residents (39.8% vs 60.2%), and living with a family (44.2% vs 55.8%). A significant increase in the prevalence of osteoarthritis was also documented among those who received formal schooling (35.7% vs 64.3%), had a family income of 5000–10000 BDT (36.1% vs 63.9%), were residing with a family having a size of greater than four members (46.0% vs 54.1%), unemployed or retired (43.8%% vs 56.2%), and leaving away from a health facility (47.9% vs 52.1%). Notably, the prevalence of osteoarthritis significantly reduced in urban areas during the two survey years (66.7% vs 33.3%) (Table 2). After adjusting for all potential covariates, compared with the 2020-survey, the odds of participants’ prevalence of osteoarthritis were significantly higher in the 2021-survey (aOR 1.27, 95% CI 1.04–1.54) (Table 3).
Table 3

Changes in prevalence of osteoarthritis after adjusting for potential covariates (n = 2077).

CharacteristicscOR195% CI P aOR295% CI P
Self-reported osteoarthritis
2020 Survey Ref Ref
2021 Survey1.301.08–1.560.0061.271.04–1.540.016

1Crude Odds Ratio;

2Adjusted Odds Ratio.

*Model adjusted for all the covariates reported in Table 2.

1Crude Odds Ratio; 2Adjusted Odds Ratio. *Model adjusted for all the covariates reported in Table 2.

Factors associated with osteoarthritis prevalence

Table 4 shows the factors associated with osteoarthritis in the pooled data. In the unadjusted analysis, age, marital status, formal schooling, family size family monthly income, current employment status, and distance to the nearest health centre was associated with osteoarthritis among the participants at 5% level of significant. However, adjusted analysis shows that osteoarthritis was significantly higher among those aged 70 years and above (aOR: 1.82, 95% CI: 1.46–2.27), who had a family size of more than four members (aOR: 1.26, 95% CI: 1.02–1.55) and who were currently unemployed or retired (aOR: 1.36, 95% CI: 1.11–1.68). On the other hand, osteoarthritis was significantly lower among the participants with a family income of 5000–10000 BDT (aOR: 0.73 95% CI: 0.54–0.99) or >10000 BDT (aOR: 0.63 95% CI: 0.46–0.85) and who was resided more than 30 minutes away from the health centre (aOR: 0.73 95% CI: 0.60–0.89)
Table 4

Factors associated with osteoarthritis prevalence in the pooled data (n = 2077).

CharacteristicscOR195% CI P aOR295% CI P
Age (years)
60–69RefRef
≥702.071.68–2.56 <0.001 1.821.46–2.27 <0.001
Marital status
MarriedRefRef
Without partners1.261.01–1.58 0.038 0.950.75–1.210.669
Formal schooling
No formal schoolingRefRef
Having formal schooling0.810.68–0.98 0.031 0.850.70–1.030.102
Family size
≤4RefRef
>41.271.04–1.56 0.018 1.261.02–1.55 0.033
Family monthly income (BDT)3
<5000RefRef
5000–100000.760.57–1.020.0660.730.54–0.99 0.043
>100000.630.48–0.83 0.001 0.630.46–0.85 0.002
Residence
UrbanRefRef
Rural1.110.89–1.390.3551.060.83–1.350.643
Current occupation
EmployedRefRef
Unemployed/retired1.631.34–1.97 <0.001 1.361.11–1.68 0.003
Living arrangement
Living with familyRefRef
Living alone1.120.78–1.630.5350.990.66–1.480.962
Distance from nearest health centre
<30 minuteRefRef
≥30 minutes0.730.61–0.88 0.001 0.730.60–0.89 0.002

1Crude Odds Ratio;

2Adjusted Odds Ratio;

31 BDT ~ 0.011 USD.

1Crude Odds Ratio; 2Adjusted Odds Ratio; 31 BDT ~ 0.011 USD.

Discussion

To our knowledge, this is the first repeated cross-sectional study that assessed the osteoarthritis prevalence among older adults residing in Bangladesh during the COVID-19 pandemic (between October 2020 and September 2021). Our study found that the prevalence of osteoarthritis significantly increased during the studied period. After adjusting for all potential covariates, multivariable analyses showed an increased odds of osteoarthritis in 2021 compared with 2020. We also found that the osteoarthritis prevalence was significantly increased among the participants who were residing in Chattogram and Mymensingh divisions, aged 60–69 years, males, married ones, rural residents, living with a family, those who received formal schooling, had a family income of 5000–10000 BDT, those having a family size of greater than four members, unemployed or retired, and living away from a health facility. On the other hand, a significant reduction in the osteoarthritis prevalence was observed in the urban participants. The increase in the prevalence of osteoarthritis among older adults might result from increased Body Mass Index (BMI) due to decreased normal physical activities during the COVID-19 pandemic [22]. Throughout the pandemic, many older adults were confined in their homes because of the lockdowns and restrictions imposed by the government to prevent COVID-19 infections [13]. It is well-established that lack of physical inactivity increases the risk of overweight and obesity in older people, a well-established risk factor for osteoarthritis [23, 24]. Our study found a higher prevalence of osteoarthritis in rural participants than in urban ones. This suggests the adoption of sedentary lifestyles secondary to pandemic-related loss of jobs [4]. A nationwide study by BRAC (Building Resources Across Communities) reported that at least one earning member of nearly 61% of families with internal migration lost a job during the pandemic [25]. For a similar reason, unemployed or retired participants were at risk of developing osteoarthritis and the prevalence increased significantly among them. Our argument is supported by a study conducted on South Korean adults aged ≥ 50 years, that found that sedentary lifestyles were associated with increased odds of chronic knee pain and knee osteoarthritis [26]. The current study showed that participants living with a family or residing with a family with a size greater than four members significantly increased in the prevalence of osteoarthritis. The older individuals in these families are more likely to be physically inactive due to assisting members, which increases the risk of aggravating osteoarthritis. Higher family income and education were also associated with a significant increase in prevalence. In lower middle-income countries like Bangladesh, people with a higher wealth index and higher educational attainment frequently adopt sedentary lifestyles in the name of modernization, a known risk factor for triggering osteoarthritis and reducing their associated quality of life [27]. We also observed a significant increase in the prevalence of osteoarthritis among the individuals who resided away from a health facility. In general, individuals suffering from osteoarthritis also suffer from other comorbidities, including obesity, diabetes, hypertension, and cardiovascular diseases [4]. A proximal residence near the health system may improve the health-seeking behaviours for the condition and adopt ameliorative and preventive measures. The significant increase in Chattogram and Mymensingh division requires further exploration to understand the complex socio-ecological or geographical features which lead to this change. Zahid Al Quadir (2020) estimated the prevalence of knee osteoarthritis in Bangladesh before the COVID-19 pandemic to be 7.3% (95% CI: 6.1%–8.5%) [14], with the older population being the most vulnerable group. However, our study indicated that more than half of the respondents suffered joint pains suggestive of osteoarthritis, probably due to a sedentary lifestyle that they adopted during the ongoing pandemic. Osteoarthritis is a degenerative condition linked to aging process, and the older population in Bangladesh is projected to rise by 40% by 2050, a factor that is expected to increase the chronic disease burden. Although the public health programs are well placed in Bangladesh, care components focusing on older adults are very limited, with primary care facilities often equipped with limited trained physicians required for screening and management of osteoarthritis for this vulnerable population [28]. Existing chronic disease care initiatives should incorporate osteoarthritis prevention, screening, and safe symptomatic management elements, required to manage pain and disability resulting from this condition. Physical literacy that involves building skills, knowledge and behaviors for active lives and physical activity that can be done in indoor settings during the pandemic period should be offered to the older population to prevent osteoarthritis. Future mixed-method studies are also suggested to precisely understand the mechanism of increasing the prevalence of osteoarthritis in specific subgroups of population.

Strength and limitations

To our knowledge, this is the first study reporting the change in the osteoarthritis prevalence and factors associated with osteoarthritis among the older population during the COVID-19 pandemic in Bangladesh. However, the study was subjected to several limitations which warrant discussion. First, the collected information was self-reported. Osteoarthritis was not objectively measured through radiographic evidence, allowing a chance of misclassification. However, we assume that this misclassification was non-differential in direction. Second, we could not collect data on height and weight. As a result, we could not examine the association between changes in BMI with the change in the prevalence of osteoarthritis. Third, the information on the health-seeking behaviour of the participants was also lacking. Fourth, we could not follow the same person over the time i.e., panel, but followed a repeated cross-sectional design. Thus, the change suggests a trend observed in a population and does not indicate changes experienced at the individual level. Fifth, our study is limited to quantitative analysis and points to potential factors, but a qualitative study may provide insights into the underlying reasons for the change. These limitations highlight the need for further studies with longitudinal analysis and a mixed-method approach among the older population in Bangladesh during this pandemic.

Conclusion

The present study reported an increased prevalence of osteoarthritis and its associates among the older population during COVID-19 pandemic in Bangladesh. The findings from this study highlights the need of screening, prevention, and management of osteoarthritis within a primary care approach. Our findings could also guide policymakers and public health practitioners to develop initiatives that could create supportive environment for people with osteoarthritis to access health services and perform daily activities including physical activity required to maintain a good quality of life during this pandemic.

Data file of the study.

(DTA) Click here for additional data file. 4 Aug 2022
PONE-D-22-12111
A tale of osteoarthritis among older adults during the COVID-19 pandemic in Bangladesh: A repeated cross-sectional study
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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: No ********** 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: Thanks to the authors for addressing an important issue and I am happy reading the paper. It is a well written manuscript and easy to understand the rationality. The rationality is clear and well organized manuscript. I am happy reading the paper. I don’t have much comments just quarries is the outcome variable we self reported? What is the justification using self reported disease for a medical research? Please re edit the conclusion of the abstract it overtly written please be specific in writing the conclusion. Reviewer #2: The manuscript " A tale of osteoarthritis among older adults during the COVID-19 pandemic in Bangladesh: A repeated cross-sectional study is interesting. However, after reading the manuscript, I have certain reservations. 1. Authors are advised to correct their grammatical mistakes throughout the whole manuscript. 2. Incomplete sentences Under introduction lines 107-108. 3. Research gaps and objectives should be clearer. 4. The inclusion criteria under the section ‘Study design and participants’ adopted age should be >= 60 to match the analysis if I am not wrong. 5. In table 1, the format of the >= symbol should be the same for all indicators. For age, you used >= 70 but for family size you used ≤4. 6. Table 2 and the data presentation is not in the proper manner. Authors are advised to correct the table's format. 7. Authors are advised to show the results of binary logistic regression for all covariates, both for cOR and aOR, by creating a separate table. ********** 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.
13 Aug 2022 Please see the attachment Submitted filename: Review response_R1.docx Click here for additional data file. 6 Sep 2022 A tale of osteoarthritis among older adults during the COVID-19 pandemic in Bangladesh: A repeated cross-sectional study PONE-D-22-12111R1 Dear Dr. Mistry, 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, Md. Tanvir Hossain Academic Editor PLOS ONE Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. 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: Partly Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. 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: Yes ********** 5. 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 ********** 6. 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: (No Response) Reviewer #2: (No Response) ********** 7. 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 ********** 9 Sep 2022 PONE-D-22-12111R1 A tale of osteoarthritis among older adults during the COVID-19 pandemic in Bangladesh: A repeated cross-sectional study Dear Dr. Mistry: 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 Dr. Md. Tanvir Hossain Academic Editor PLOS ONE
  21 in total

1.  Quality-Adjusted Life-Years Lost Due to Physical Inactivity in the United States Osteoarthritis Population.

Authors:  Elena Losina; Genevieve S Silva; Karen C Smith; Jamie E Collins; David J Hunter; Swastina Shrestha; Stephen P Messier; Ed H Yelin; Lisa G Suter; A David Paltiel; Jeffrey N Katz
Journal:  Arthritis Care Res (Hoboken)       Date:  2019-07-26       Impact factor: 4.794

2.  Global, regional prevalence, incidence and risk factors of knee osteoarthritis in population-based studies.

Authors:  Aiyong Cui; Huizi Li; Dawei Wang; Junlong Zhong; Yufeng Chen; Huading Lu
Journal:  EClinicalMedicine       Date:  2020-11-26

3.  Walk At Least 10 Minutes a Day for Adults With Knee Osteoarthritis: Recommendation for Minimal Activity During the COVID-19 Pandemic.

Authors:  Jason T Jakiela; Esther J Waugh; Daniel K White
Journal:  J Rheumatol       Date:  2020-08-15       Impact factor: 4.666

4.  Prevalence of osteoarthritis in lower middle- and low-income countries: a systematic review and meta-analysis.

Authors:  Ismail Yahaya; Tanya Wright; Opeyemi O Babatunde; Nadia Corp; Toby Helliwell; Lisa Dikomitis; Christian D Mallen
Journal:  Rheumatol Int       Date:  2021-04-27       Impact factor: 2.631

5.  Impact of COVID-19 pandemic social restriction measures on people with rheumatic and musculoskeletal diseases in the UK: a mixed-methods study.

Authors:  Toby O Smith; Pippa Belderson; Jack R Dainty; Linda Birt; Karen Durrant; Jacqueline R Chipping; Jordan Tsigarides; Max Yates; Felix Naughton; Sarah Werry; Caitlin Notley; Lee Shepstone; Alex J MacGregor
Journal:  BMJ Open       Date:  2021-06-02       Impact factor: 2.692

6.  Changes in Tobacco Use Patterns during COVID-19 and Their Correlates among Older Adults in Bangladesh.

Authors:  Sabuj Kanti Mistry; Armm Mehrab Ali; Md Ashfikur Rahman; Uday Narayan Yadav; Bhawna Gupta; Muhammad Aziz Rahman; Rumana Huque
Journal:  Int J Environ Res Public Health       Date:  2021-02-12       Impact factor: 3.390

Review 7.  Obesity & osteoarthritis.

Authors:  Lauren K King; Lyn March; Ananthila Anandacoomarasamy
Journal:  Indian J Med Res       Date:  2013       Impact factor: 2.375

8.  COVID-19 lockdown consequences on body mass index and perceived fragility related to physical activity: A worldwide cohort study.

Authors:  Constanta Urzeala; Martine Duclos; Ukadike Chris Ugbolue; Aura Bota; Mickael Berthon; Keri Kulik; David Thivel; Reza Bagheri; Yaodong Gu; Julien S Baker; Nicolas Andant; Bruno Pereira; Karine Rouffiac; Maëlys Clinchamps; Frédéric Dutheil
Journal:  Health Expect       Date:  2021-06-09       Impact factor: 3.318

9.  A Syndemic Perspective on the Management of Non-communicable Diseases Amid the COVID-19 Pandemic in Low- and Middle-Income Countries.

Authors:  Uday Narayan Yadav; Binod Rayamajhee; Sabuj Kanti Mistry; Shradha S Parsekar; Shyam Kumar Mishra
Journal:  Front Public Health       Date:  2020-09-25
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