| Literature DB >> 34995288 |
Md Rajwanul Haque1, Md Mostaured Ali Khan1,2, Md Mosfequr Rahman2, M Sajjadur Rahman1, Shawkat A Begum3.
Abstract
The deadliest coronavirus disease 2019 (COVID-19) is taking thousands of lives worldwide and presents an extraordinary challenge to mental resilience. This study assesses mental health status during the COVID-19 pandemic and its associated factors among informal waste workers in Bangladesh. A cross-sectional survey was conducted in June 2020 among 176 informal waste workers selected from nine municipalities and one city corporation in Bangladesh. General Health Questionnaire (GHQ-12) was used to assess respondents' mental health. The study found that 80.6% of the individuals were suffering from psychological distress; 67.6% reported anxiety and depression, 92.6% reported social dysfunction, and 19.9% reported loss of confidence. The likelihood of psychological distress (Risk ratio [RR]: 1.23, 95% confidence interval [CI]: 1.02-1.48) was significantly higher for female than male. Multiple COVID-19 symptoms of the family members (RR: 1.20, 95% CI: 1.03-1.41), unawareness about COVID-19 infected neighbor (RR: 1.21, 95% CI: 1.04-1.41), income reduction (RR: 1.60, 95% CI: 1.06-2.41) and daily household meal reduction (RR: 1.34; 95% CI: 1.03-1.73) were also found to be associated with psychological distress. These identified factors should be considered in policy-making and support programs for the informal waste workers to manage the pandemic situation as well as combating COVID-19 related psychological challenges.Entities:
Mesh:
Year: 2022 PMID: 34995288 PMCID: PMC8741044 DOI: 10.1371/journal.pone.0262141
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Details of independent variables.
| Variables | Asked questions | Answers | Coding |
|---|---|---|---|
| Age | Please mention about your age | Collected as continuous format in years | 1 = ≤ 25 year; 2 = 26–50 years; 3 = 50 < years |
| Gender | Please mention about gender | 1 = Male; 2 = Female | |
| Educational status | How many formal educational years you have completed? | Collected as continuous format in years, then further recoded in three categories | 0 = No education; 1 = Up to primary; 2 = Up to secondary or higher |
| Occupation type | What is your type of occupation? | 1 = Pit emptier; 2 = Waste collector; 3 = Inorganic trader; 4 = Cleaners/ sweeper | |
| Earing member in the family | How many earning members you have in your household? | Collected in no. of earning members in family | |
| Monthly household income (in BDT) | What is the monthly income of your household? | Collected in BDT for during COVID-19 and before COVID-19 | |
| Symptoms related to COVID-19 faced by respondents | What COVID-19 related symptoms you faced during pandemic? | Respondents answered several i.e., nothing faced yet, fever, cough, difficulty in breathing, sore throat, sneezing (include runny nose, cold feeling), fatigue (tiredness), aches and pains (mostly muscle and chest), headaches, diarrhea, poor appetite and vomiting | 0 = No symptoms |
| Symptoms related to COVID-19 faced by respondents’ family members | What COVID-19 related symptoms your family members faced during pandemic? | ||
| Had any chronic diseases | Do you have any chronic diseases? | Answered taken for no chronic diseases, hypertension, heart disease, diabetes, respiratory diseases (Chronic obstructive pulmonary disease-COPD, asthma, etc.), kidney disease, and liver problem. | 0 = No |
| Had COVID-19 infected neighbor | Do you have any COVID-19 infected neighbor in your community? | 0 = No; 1 = Yes; 2 = Don’t know | |
| Arranged food from savings | Do you arrange food for family from savings? | 0 = No; 1 = Yes | |
| Arranged food from borrowing | Do you arrange food for family by borrowing? | 0 = No; 1 = Yes | |
| Income reduced | Calculated from during COVID-19 and before COVID-19 income of the households | 0 = No; 1 = Yes | |
| Daily meal reduced | How many times your family are taking meal sufficiently? | Collected and calculated from during COVID-19 and before COVID-19 income of the households | 0 = No; 1 = Yes |
Note:
aIn last 1 month prior to survey.
Socio-economic and demographic profile of study population.
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| ≤ 25 years | 23 | 13.1 |
| 26–50 years | 133 | 75.6 |
| 50 < years | 20 | 11.4 |
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| Male | 97 | 55.0 |
| Female | 79 | 45.0 |
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| No education | 59 | 33.5 |
| Up to primary | 69 | 39.2 |
| Up to secondary or higher | 48 | 27.3 |
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| Pit emptier | 31 | 17.6 |
| Waste collector | 50 | 28.4 |
| Inorganic trader | 27 | 15.3 |
| Cleaners/ sweeper | 68 | 38.6 |
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| Before COVID-19 | 1.74 | ± 0.78 |
| During COVID-19 | 1.43 | ± 0.71 |
| Reduction (before vs during COVID-19) | 0.32 | ± 0.59 |
|
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| Before COVID-19 | 13322.21 | ± 5418.61 |
| During COVID-19 | 7853.01 | ± 4446.00 |
| Reduction (before vs during COVID-19) | 5469.03 | ± 4040.58 |
COVID-19 related symptoms, approach to treatment faced by the waste workers.
| Characteristics | Experienced by respondents | Experienced by respondents’ family members’ | ||
|---|---|---|---|---|
| n | % | n | % | |
|
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| No symptoms | 90 | 51.1 | 100 | 56.8 |
| Single symptom | 34 | 19.3 | 33 | 18.8 |
| Multiple symptoms | 52 | 29.6 | 43 | 24.4 |
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| Fever | 39 | 22.2 | 46 | 26.1 |
| Cough | 29 | 16.5 | 28 | 15.9 |
| Difficulty in breathing | 11 | 6.3 | 8 | 4.6 |
| Sore throat | 9 | 5.1 | 5 | 2.8 |
| Sneezing (include runny nose, cold feeling) | 18 | 10.2 | 10 | 5.7 |
| Fatigue (tiredness) | 13 | 7.4 | 3 | 1.7 |
| Aches and pains (mostly muscle and chest) | 20 | 11.4 | 15 | 8.5 |
| Headaches | 17 | 9.7 | 15 | 8.5 |
| Diarrhea | 5 | 2.8 | 7 | 4.0 |
| Poor appetite | 3 | 1.7 | 1 | 0.6 |
| Vomiting | 8 | 4.6 | 2 | 1.1 |
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| No | 77 | 43.8 | - | - |
| Yes | 99 | 56.3 | - | - |
| - | - | |||
| Not approached | 77 | 43.8 | - | - |
| Called hotline | 0 | 0.0 | - | - |
| Dispensary | 53 | 54.0 | - | - |
| Private clinic/doctor | 26 | 26.0 | - | - |
| Hospital | 20 | 20.0 | - | - |
|
| - | - | ||
| No | 48 | 27.0 | - | - |
| Yes | 128 | 73.0 | - | - |
Note:
1 Multiple responses;
2For both individuals and their family members;
3Only for respondents and these diseases includes hypertension, diabetes, heart diseases, kidney diseases, respiratory diseases (Asthma, COPD, etc.), and liver problem.
Mental health status of waste workers during COVID-19.
| Mental health status | Mean (± SD) | n | % |
|---|---|---|---|
|
| 15.6 ( | ||
| No | 33 | 18.8 | |
| Yes | 142 | 80.6 | |
| 6.1 ( | |||
| No | 54 | 30.7 | |
| Yes | 119 | 67.6 | |
| 5.8 ( | |||
| No | 10 | 5.7 | |
| Yes | 163 | 92.6 | |
| 3.8 ( | |||
| No | 138 | 78.4 | |
| Yes | 35 | 19.9 |
Note:
a Score out of 36;
b Score out of 12;
c Score out of 18; and
d Score out of 6.
Association of psychological distress, anxiety and depression, social dysfunction and loss of confidence with possible influencing factors in surveyed nine municipalities and one city-corporation during COVID-19 in Bangladesh.
| Measures | Overall psychological distress | Anxiety and depression | Social dysfunction | Loss of confidence |
|---|---|---|---|---|
| Adjusted RR (95% CI) | Adjusted RR (95% CI) | Adjusted RR (95% CI) | Adjusted RR (95% CI) | |
|
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| ≤ 25 years | 1.00 | 1.00 | 1.00 | 1.00 |
| 26–50 years | 0.91 (0.68–1.21) | 0.86 (0.61–1.20) | 1.01 (0.85–1.19) | 0.85 (0.51–1.41) |
| 50 < years | 0.88 (0.62–1.25) | 0.84 (0.50–1.42) | 0.97 (0.80–1.19) | 0.53 (0.19–1.43) |
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| Male | 1.00 | 1.00 | 1.00 | 1.00 |
| Female | 1.23 (1.02–1.48) * | 0.73 (0.53–0.99) * | 1.10 (1.01–1.20) * | 1.67 (1.07–2.59) * |
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| No education | 1.00 | 1.00 | 1.00 | 1.00 |
| Up to primary | 0.97 (0.79–1.17) | 1.24 (0.85–1.81) | 0.98 (0.91–1.17) | 1.91 (1.17–3.29) * |
| Up to secondary or higher | 0.87 (0.67–1.14) | 1.33 (0.87–2.03) | 0.94 (0.84–1.06) | 1.51 (0.76–2.96) |
| Occupation types | ||||
| Pit emptier | 1.00 | 1.00 | 1.00 | 1.00 |
| Waste collector | 0.95 (0.77–1.16) | 1.01 (0.67–1.49) | 1.03 (0.92–1.16) | 0.54 (0.31–0.93) * |
| Inorganic trader | 0.86 (0.66–1.12) | 1.22 (0.80–1.87) | 1.01 (0.87–1.17) | 0.60 (0.30–1.20) |
| Cleaners/ sweeper | 0.76 (0.59–0.97) * | 1.40 (0.90–2.20) | 0.99 (0.89–1.12) | 0.45 (0.28–0.74) ** |
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| No symptoms | 1.00 | 1.00 | 1.00 | 1.00 |
| Single symptoms | 0.96 (0.74–1.23) | 0.93 (0.67–1.30) | 1.06 (0.96–1.17) | 0.98 (0.57–1.71) |
| Multiple symptoms | 1.06 (0.89–1.26) | 0.86 (0.64–1.16) | 1.11 (1.02–1.21) ** | 1.07 (0.66–1.73) |
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| No symptoms | 1.00 | 1.00 | 1.00 | 1.00 |
| Single symptoms | 0.84 (0.61–1.15) | 1.65 (1.19–2.28) ** | 1.04 (0.91–1.18) | 0.68 (0.36–1.28) |
| Multiple symptoms | 1.20 (1.03–1.41) * | 1.89 (1.39–2.57) *** | 1.06 (0.98–1.14) | 1.01 (0.63–1.64) |
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| No | 1.00 | 1.00 | 1.00 | 1.00 |
| Yes | 0.93 (0.77–1.11) | 1.05 (0.78–1.42) | 0.87 (0.79–0.96) ** | 1.21 (0.76–1.92) |
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| No | 1.00 | 1.00 | 1.00 | 1.00 |
| Yes | 0.68 (0.45–1.03) | 0.67 (0.41–1.09) | 0.98 (0.85–1.12) | 1.38 (0.68–2.79) |
| Don’t know | 1.21 (1.04–1.41) ** | 1.01 (0.72–1.39) | 1.07 (1.00–1.13) * | 1.35 (0.88–2.07) |
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| No | 1.00 | 1.00 | 1.00 | 1.00 |
| Yes | 0.92 (0.71–1.21) | 1.09 (0.75–1.57) | 0.92 (0.78–1.09) | 0.66 (0.35–1.27) |
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| No | 1.00 | 1.00 | 1.00 | 1.00 |
| Yes | 0.90 (0.75–1.08) | 1.12 (0.85–1.47) | 1.02 (0.93–1.13) | 0.96 (0.64–1.43) |
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| No | 1.00 | 1.00 | 1.00 | 1.00 |
| Yes | 1.60 (1.06–2.41) * | 0.84 (0.59–1.21) | 1.15 (0.95–1.39) | 0.84 (0.51–1.34) |
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| No | 1.00 | 1.00 | 1.00 | 1.00 |
| Yes | 1.34 (1.03–1.73) * | 1.06 (0.79–1.43) | 1.02 (0.92–1.14) | 1.12 (0.71–1.76) |