| Literature DB >> 35690751 |
Rania Nafi' Suleiman Alsabi1, Alif Firdaus Zaimi2, Thanusha Sivalingam2, Nurul Nazirah Ishak2, Aishah Siddiqah Alimuddin3,4, Rima Aggrena Dasrilsyah5,6, Nurul Iftida Basri5,6, Amilia Afzan Mohd Jamil7,8.
Abstract
BACKGROUND: Postpartum depression (PPD) is the most prevalent mental health disorder after childbirth, notably during the COVID-19 pandemic. In addition, PPD is known to have a long-term influence on the mother and the newborn, and the role of social support network is crucial in early illness recognition. This study aims to evaluate the social support networks' level of knowledge, attitudes and beliefs regarding PPD and examine their sociodemographic variables and exposure to the public information relating to PPD during the COVID-19 pandemic in Malaysia.Entities:
Keywords: Attitudes; Beliefs; Knowledge; Postpartum depression; Social support networks
Mesh:
Year: 2022 PMID: 35690751 PMCID: PMC9187926 DOI: 10.1186/s12905-022-01795-x
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.742
Distribution of sociodemographic factors of respondents
| Variables | Frequency | Percentage (%) |
|---|---|---|
| 18–39 | 358 | 90.9 |
| > 40 | 36 | 9.1 |
| Male | 105 | 26.6 |
| Female | 289 | 73.4 |
| Malay | 296 | 75.1 |
| Non-Malay (Chinese, Indian, Others) | 98 | 24.9 |
| Single | 337 | 85.5 |
| Married | 57 | 14.5 |
| Yes | 53 | 13.5 |
| No | 341 | 86.5 |
| Early (None, Primary and Secondary) | 43 | 10.9 |
| Advanced (Tertiary) | 351 | 89.1 |
| Yes | 102 | 25.9 |
| No | 292 | 74.1 |
Distribution of the respondents regarding knowledge on PPD among social support networks during COVID-19 pandemic in Klang Valley, Malaysia
| No | Items | Correctn (%) | Incorrect n (%) |
|---|---|---|---|
| 1 | The occurrence of postpartum depression is higher during COVID-19 pandemic | 212 (53.8) | 182 (46.2) |
| 2 | Severe dejection and irritability, more than 15 days postpartum, are manifestations of postpartum depression | 256 (65.0) | 138 (35.0) |
| 3 | To overcome postpartum depression, the motivation of family and friends is a must during COVID-19 pandemic | 355 (90.1) | 39 (9.9) |
| 4 | Hormonal changes can cause postpartum depression | 319 (81.0) | 75 (19.0) |
| 5 | Women with postpartum depression only think about self-harm | 133 (33.8) | 261 (66.2) |
| 6 | Psychological intervention is productive in treating postpartum depression during COVID-19 pandemic | 286 (72.6) | 108 (27.4) |
| 7 | Women with symptoms of depression and anxiety during pregnancy tend to have postpartum depression | 241 (61.2) | 153 (38.8) |
| 8 | Women with postpartum depression cannot respond well to the infant's needs | 242 (61.4) | 152 (38.6) |
| 9 | Professional help is a need in treating postpartum depression during COVID-19 pandemic | 339 (86.0) | 55 (14.0) |
| 10 | The possibility of harming infants is high for women with postpartum depression | 252 (64.0) | 142 (36.0) |
| 11 | Women with postpartum depression usually have loss of appetite | 207 (52.5) | 187 (47.5) |
| 12 | Sleep disturbance occurred in women with postpartum depression | 278 (70.6) | 116 (29.4) |
| 13 | The women with postpartum depression do not communicate well with their parents and children | 242 (61.4) | 152 (38.6) |
| 14 | Women with postpartum depression cannot be diagnosed by general practitioner | 62 (15.7) | 332 (84.3) |
| 15 | Only women with a history of psychological problems or who did not wish to become pregnant can develop postpartum depression | 207 (52.5) | 187 (47.5) |
| 16 | Supplement and vitamin are recommended in treating postpartum depression | 56 (14.2) | 338 (85.8) |
Frequency (n, %) of respondents answered correctly are presented in black
Distribution of the respondents regarding attitude on PPD among social support networks during the COVID-19 pandemic in Klang Valley, Malaysia
| No | Items | Disagree (1–2) n (%) | Neutral (3) n (%) | Agree (4–5) n (%) |
|---|---|---|---|---|
| 1 | Postpartum depression is common | 72 (18.3) | 147 (37.3) | 175 (44.4) |
| 2 | Women with postpartum depression cannot be good mothers | 220 (55.8) | 87 (22.1) | 87 (22.1) |
| 3 | Postpartum depression is not a serious problem | 309 (78.4) | 44 (11.2) | 41 (10.4) |
| 4 | Postpartum depression is a common fatigue and difficulty after childbirth | 116 (29.4) | 145 (36.8) | 133 (33.8) |
| 5 | Women know, by nature, how to look after a baby | 139 (35.3) | 101 (25.6) | 154 (39.1) |
| 6 | Women with postpartum depression hate their babies | 157 (39.8) | 130 (33.0) | 107 (27.2) |
| 7 | Women have postpartum depression because they have unrealistic expectations about caring for a baby | 98 (24.9) | 159 (40.4) | 137 (34.8) |
| 8 | Postpartum depression does not exist in previous generations | 288 (73.1) | 73 (18.5) | 33 (8.4) |
| 9 | Postpartum depression is not a sign of weakness | 26 (6.6) | 84 (21.3) | 284 (72.1) |
| 10 | Women suffer postpartum depression because they are not ready to make the sacrifice needed while caring for a child | 150 (38.1) | 139 (35.3) | 105 (26.6) |
| 11 | Postnatal depression will go away on its own as the baby grows | 153 (38.8) | 169 (42.9) | 72 (18.3) |
| 12 | There is no justification to get postpartum depression when women decide to give birth | 145 (36.8) | 136 (34.5) | 113 (28.7) |
| 13 | Women do not choose to get postnatal depression | 14 (3.6) | 48 (12.2) | 332 (84.3) |
| 14 | Although women experience postpartum depression, they must endure it without medical help | 234 (59.4) | 78 (19.8) | 82 (20.8) |
| 15 | Women suffer postpartum depression because they are not ready to be a mother | 164 (41.6) | 137 (34.8) | 93 (23.6) |
| 16 | It is better if no one knows a woman is suffering from postpartum depression | 285 (72.3) | 59 (15.0) | 50 (12.7) |
| 17 | All postpartum women should undergo postpartum depression screening | 31 (7.9) | 86 (21.8) | 277 (70.3) |
Distribution of the respondents regarding belief on PPD among social support networks during the COVID-19 pandemic in Klang Valley, Malaysia
| No | Items | Frequency (n = 394) | Percentage (%) |
|---|---|---|---|
| 1 | |||
| Disagree (1–2) | 8 | 2.0 | |
| Neutral (3) | 126 | 32.0 | |
| Agree (4–5) | 260 | 66.0 | |
| 2 | |||
| Disagree (1–2) | 309 | 78.4 | |
| Neutral (3) | 52 | 13.2 | |
| Agree (4–5) | 33 | 8.4 | |
| 3 | |||
| Disagree (1–2) | 61 | 15.5 | |
| Neutral (3) | 125 | 31.7 | |
| Agree (4–5) | 208 | 52.8 | |
| 4 | |||
| Disagree (1–2) | 240 | 60.9 | |
| Neutral (3) | 101 | 25.6 | |
| Agree (4–5) | 53 | 13.5 | |
| 5 | |||
| Disagree (1–2) | 34 | 8.6 | |
| Neutral (3) | 186 | 47.2 | |
| Agree (4–5) | 174 | 44.2 | |
| 6 | |||
| Disagree (1–2) | 51 | 12.9 | |
| Neutral (3) | 129 | 32.7 | |
| Agree (4–5) | 214 | 54.3 | |
| 7 | |||
| Disagree (1–2) | 88 | 22.3 | |
| Neutral (3) | 222 | 56.3 | |
| Agree (4–5) | 84 | 21.3 | |
| 8 | |||
| Disagree (1–2)Neutral (3) | 76,234 | 19.359.4 | |
| Agree (4–5) | 84 | 21.3 | |
| 9 | |||
| Disagree (1–2) | 10 | 2.5 | |
| Neutral (3) | 77 | 19.5 | |
| Agree (4–5) | 307 | 77.9 | |
| 10 | |||
| Disagree (1–2) | 55 | 14.0 | |
| Neutral (3) | 147 | 37.3 | |
| Agree (4–5) | 192 | 48.7 |
Association between sociodemographic factors and exposure to PPD with knowledge score by using Mann–Whitney U test (n = 394)
| Variables | Freq., n (%) | Median (IQR) | Mann–Whitney U | p-value |
|---|---|---|---|---|
| Single | 337 (85.5) | 10.00 (4.00) | 7836.000 | 0.025* |
| Married | 57 (14.5) | 11.00 (4.00) | ||
| Male | 105 (26.6) | 9.00 (4.00) | 12,906.000 | 0.022* |
| Female | 289 (73.4) | 10.00 (4.00) | ||
| Yes | 53 (13.5) | 11.00 (4.00) | 7441.000 | 0.037* |
| No | 341 (86.5) | 10.00 (4.00) | ||
| Early (none, primary and secondary) | 43 (10.9) | 9.00 (5.00) | 6295.000 | 0.074 |
| Advanced (tertiary) | 351 (89.1) | 10.00 (4.00) | ||
| Young adults (18–39) | 358 (90.9) | 10.00 (4.00) | 5336.000 | 0.087 |
| Older adults (> 40) | 36 (9.1) | 10.50 (3.00) | ||
| Malay | 296 (75.1) | 10.00 (4.00) | 12,827.500 | 0.084 |
| Non-Malay (Chinese, Indian, Others) | 98 (24.9) | 9.50 (5.00) | ||
| Yes | 102 (25.9) | 10.00 (5.00) | 13,891.000 | 0.309 |
| No | 292 (74.1) | 10.00 (4.00) |
*significant, p < 0.05
Association between sociodemographic factors and exposure to PPD with attitude score using Mann Whitney U test (n = 394)
| Variables | Freq., n (%) | Median (IQR) | Mann Whitney U | p-value |
|---|---|---|---|---|
| Young adults (18–39) | 358 (90.9) | 14.00 (6.00) | 5775.000 | 0.303 |
| Older adults (> 40) | 36 (9.1) | 16.00 (8.00) | ||
| Male | 105 (26.6) | 15.00 (7.00) | 12,869.000 | 0.021* |
| Female | 289 (73.4) | 14.00 (6.00) | ||
| Malay | 296 (75.1) | 14.00 (6.00) | 12,439.500 | 0.034* |
| Non-Malay (Chinese, Indian, Others) | 98 (24.9) | 15.50 (8.00) | ||
| Single | 337 (85.5) | 14.00 (6.00) | 7560.500 | 0.010* |
| Married | 57 (14.5) | 16.00 (8.00) | ||
| Yes | 53 (13.5) | 16.00 (8.00) | 7298.000 | 0.024* |
| No | 341 (86.5) | 14.00 (6.00) | ||
| Early (None, primary & secondary level) | 43 (10.9) | 14.00 (6.00) | 7276.000 | 0.701 |
| Advanced (Tertiary level) | 351 (89.1) | 14.00 (7.00) | ||
| Yes | 102 (25.9) | 16.00 (7.00) | 12,219.500 | 0.007* |
| No | 292 (74.1) | 14.00 (6.00) |
*p < 0.05
Association between sociodemographic factors and exposure to PPD with belief score using Mann Whitney U test (n = 394)
| Variables | Freq., n (%) | Median (IQR) | Mann Whitney U | p-value |
|---|---|---|---|---|
| Young adults (18–39) | 358 (90.9) | 12.00 (4.00) | 6404.000 | 0.951 |
| Older adults (> 40) | 36 (9.1) | 11.50 (4.00) | ||
| Male | 105 (26.6) | 12.00 (4.00) | 15,067.500 | 0.916 |
| Female | 289 (73.4) | 12.00 (4.00) | ||
| Malay | 296 (75.1) | 12.00 (4.00) | 12,826.000 | 0.084 |
| Non-Malay (Chinese, Indian, Others) | 98 (24.9) | 11.00 (5.00) | ||
| Single | 337 (85.5) | 12.00 (4.00) | 8803.500 | 0.310 |
| Married | 57 (14.5) | 12.00 (3.00) | ||
| Yes | 53 (13.5) | 12.00 (4.00) | 8344.000 | 0.366 |
| No | 341 (86.5) | 12.00 (4.00) | ||
Early (none, primary and secondary level) Advanced (tertiary level) | 43 (10.9) 351 (89.1) | 11.00 (3.00) 12.00 (4.00) | 6273.500 | 0.069 |
| Yes | 102 (25.9) | 12.00 (5.00) | 14,213.000 | 0.490 |
| No | 292 (74.1) | 12.00 (4.00) |
*p < 0.05
Association between sociodemographic factors and exposure to PPD with knowledge, belief score using generalized linear mixed model test among social support networks in Klang Valley, Malaysia (n = 394)
| Variables | Adj. coefficient | SE | t | Sig | 95% CI | |
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Early (none, primary and secondary) | − .184 | .1327 | 1.386 | .167 | − .445 | .077 |
| Advanced (tertiary) | 0* | − | − | − | − | − |
| Yes | − .083 | .0949 | − .872 | .384 | − .269 | .104 |
| No | 0 | − | − | − | − | − |
| .048 | .2022 | .238 | .812 | − .350 | .446 | |
| Young adults (18–39) | 0 | − | − | − | − | − |
| Older adults (> 40) | ||||||
| Yes | − .081 | .3130 | − .259 | .796 | − .697 | .534 |
| No | 0 | − | − | − | − | − |
| Male | − .067 | .0961 | − .701 | .484 | − .256 | .122 |
| Female | 0 | − | − | − | − | − |
| Malay | .403 | .0971 | 4.146 | .000** | .212 | .594 |
| Non-malay (Chinese, Indian, Others) | 0 | − | − | − | − | − |
| Single | − .097 | .2936 | − .330 | .741 | − .674 | .480 |
| Married | 0 | − | − | − | − | − |
| Total belief score | .006 | .0113 | .517 | .605 | − .016 | .028 |
| Total knowledge score | .077 | .0135 | 5.712 | .000** | .051 | .104 |
| Total attitude score | − .020 | .0061 | 3.221 | .001** | − .032 | − .008 |
Probability distribution: normal
Target: awareness
*This coefficient is set to zero because it is redundant
**Significant, p < 0.05
Fig. 1Thickness of the line of fixed coefficients showing the association between PPD awareness with sociodemographic factors (e.g. knowledge, attitude and belief scores)