| Literature DB >> 35634197 |
Monica Ewomazino Akokuwebe1, Erhabor Sunday Idemudia1.
Abstract
Background: Kidney disease (KD), also known as chronic kidney disease (CKD), is a long-term underrecognized public health concern and one of the eight leading causes of death in women. Despite that, little is known about women's knowledge, perceived risk, and perceptions of CKD risk factors. In this study, we assessed knowledge, perceived risk, and perceptions of CKD risk factors among women of childbearing age in Lagos State, Nigeria.Entities:
Year: 2022 PMID: 35634197 PMCID: PMC9135572 DOI: 10.1155/2022/5511555
Source DB: PubMed Journal: Int J Nephrol
Figure 1Flowchart showing sampling techniques used to select survey households and the selection of the household heads that participated in the study.
Characteristics of study respondents.
| Characteristics | Urban, | Semiurban, | Total, |
|---|---|---|---|
| Total mean age | 30.2 ± 10.9 | 43.7 ± 6.3 | 33.5 ± 11.5 |
| Age | |||
| Younger adults (15–29 years) | 280 (44.9) | 74 (36.8) | 354 (42.9) |
| Young adults (30–39 years) | 195 (31.3) | 73 (36.3) | 268 (32.5) |
| Middle-aged adults (40–49 years) | 149 (23.9) | 54 (26.9) | 203 (24.6) |
|
| |||
| Education | |||
| No education | 18 (2.9) | 190 (94.5) | 208 (25.2) |
| Low | 44 (7.1) | 9 (4.5) | 53 (6.4) |
| High education | 562 (90.1) | 2 (0.1) | 564 (68.4) |
|
| |||
| Marital status | |||
| Single | 352 (56.4) | 89 (44.2) | 441 (53.5) |
| Married | 230 (36.9) | 96 (47.8) | 326 (39.5) |
| Previously married | 42 (6.7) | 16 (8.0) | 58 (7.0) |
|
| |||
| Religion | |||
| Christianity | 469 (75.2) | 134 (66.7) | 603 (73.1) |
| Islam | 143 (22.9) | 50 (24.9) | 193 (23.4) |
| Traditional | 12 (1.9) | 17 (8.4) | 29 (3.5) |
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| |||
| Income | |||
| Low | 381 (61.1) | 141 (70.1) | 522 (63.3) |
| High | 243 (38.9) | 60 (29.9) | 303 (36.7) |
|
| |||
| Other sources of income | |||
| Yes | 188 (30.1) | 87 (43.3) | 275 (33.3) |
| No | 436 (69.9) | 114 (56.7) | 550 (66.67) |
|
| |||
| Ethnic group | |||
| Yoruba | 323 (51.8) | 109 (54.2) | 432 (52.4) |
| Non-Yoruba | 301 (48.2) | 92 (45.8) | 393 (47.6) |
Source: fieldwork, 2019; p < 0.05, significant. Data are expressed as mean ± standard deviation, number, percentage, and chi-square.
Figure 2Level of knowledge of kidney disease risk factors among respondents.
Figure 3Level of knowledge of CKD risk factors among participants by the age group.
Bivariate analysis of respondents' knowledge of KD and chronic kidney disease risk factors by location (N = 825).
| General questions | Urban, | Semiurban, |
|
|
|---|---|---|---|---|
| Have you heard about kidney disease? | ||||
| Yes | 409 (65.5%) | 135 (67.2%) | 3.430 | 0.02 |
| No | 215 (34.5%) | 66 (32.8%) | ||
| Questions | Urban, | Semiurban, |
|
|
| Where is the kidney located? | ||||
| Close to the spine | 74 (18.1%) | 39 (28.9%) | 8.393 | 0.14 |
| Close to the abdominal cavity | 56 (13.7%) | 19 (14.1%) | ||
| Close to the liver | 120 (29.3%) | 32 (23.7%) | ||
| I do not know | 159 (38.9%) | 45 (33.3%) | ||
| What are the types of kidney disease? | ||||
| Acute (AKD) | 31 (7.6%) | 12 (8.9%) | 28.381 | 0.00 |
| Chronic (CKD) | 98 (23.9%) | 37 (27.4%) | ||
| Both acute and chronic | 280 (68.5%) | 86 (63.7%) | ||
| Which of the genders are more susceptible to CKD? | ||||
| Male | 272 (66.5%) | 74 (54.8%) | 10.997 | 0.01 |
| Female | 85 (20.8%) | 36 (26.7%) | ||
| Both male and female | 52 (12.7%) | 25 (18.5%) | ||
| Independent risk factors of CKD | ||||
| Misuse of analgesics (NSAIDs) (NSAIDs are nonsteroidal anti-inflammatory drugs that are used to reduce inflammation and relieve pain such as ibuprofen, aspirin, and Tylenol (acetaminophen, Tempra, Panadol, or paracetamol)) | ||||
| Yes | 92 (22.5%) | 16 (11.9%) | 8.027 | 0.02 |
| No | 02 (0.5%) | 00 (0.0%) | ||
| Herbal drinks | ||||
| Yes | 153 (37.4%) | 54 (40.0%) | 0.289 | 0.05 |
| No | 256 (62.6%) | 81 (60.0%) | ||
| Herbal supplements | ||||
| Yes | 97 (23.7%) | 47 (34.8%) | 6.423 | 0.01 |
| No | 312 (76.3%) | 88 (65.2%) | ||
| Dependent risk factors of CKD | ||||
| Diabetes | ||||
| Yes | 31 (7.6%) | 08 (5.9%) | 0.417 | 0.518 |
| No | 378 (92.4%) | 127 (94.1%) | ||
| Hypertension | ||||
| Yes | 37 (9.0%) | 19 (14.1%) | 2.778 | 0.02 |
| No | 372 (91.0%) | 116 (85.9%) | ||
| Family history of CKD ailments | ||||
| Yes | 33 (8.1%) | 11 (8.1%) | 2.447 | 0.04 |
| No | 376 (91.9%) | 124 (91.9%) | ||
| High cholesterol | ||||
| Yes | 05 (1.2%) | 00 (0.0%) | 1.666 | 0.197 |
| No | 404 (98.8%) | 135 (100.0%) | ||
| Cigarette smokers | ||||
| Yes | 03 (0.7%) | 02 (1.5%) | 1.675 | 0.642 |
| No | 406 (99.3%) | 133 (98.5%) | ||
| Signs and symptoms of CKD ailments | ||||
| Bloody and frothy urine | ||||
| Yes | 200 (48.9%) | 50 (37.0%) | 2.163 | 0.02 |
| No | 209 (51.1%) | 85 (63.0%) | ||
| Body swelling | ||||
| Yes | 24 (5.9%) | 36 (26.7%) | 6.123 | 0.345 |
| No | 385 (94.1%) | 99 (73.3%) | ||
| Loss of appetite | ||||
| Yes | 45 (11.0%) | 28 (20.7%) | 2.416 | 0.072 |
| No | 364 (89.0%) | 107 (79.3%) | ||
Source: fieldwork, 2019; p < 0.05, significant. Data are expressed as number, percentage, and chi-square.
Respondents' self-reported risk factors for CKD, N = 396.
| Independent risk factors | Yes, | No, | Total, | OR (95% CI) |
|
|---|---|---|---|---|---|
| Misuse of analgesics (NSAIDS) | 80 (20.2) | 316 (79.8) | 396 (100) | 1.201 (0.793–1.820) | 0.00 |
| Herbal drinks | 137 (34.6) | 259 (65.4) | 396 (100) | 2.302 (0.975–3.240) | 0.00 |
| Herbal supplements | 108 (27.3) | 288 (72.7) | 396 (100) | 1.372 (0.881–2.139) | 0.05 |
| Dependent risk factors | Yes, | No, | Total, | OR (95% CI) |
|
| Diabetes | 26 (6.6) | 370 (93.4) | 396 (100) | 0.882 (0.394–1.971) | 0.76 |
| Hypertension | 42 (10.6) | 354 (89.4) | 396 (100) | 2.135 (1.106–4.119) | 0.02 |
| Family history of KD ailments | 36 (9.1) | 360 (90.9) | 396 (100) | 1.302 (0.215–1.742) | 0.05 |
| High cholesterol | 03 (0.8) | 393 (99.2) | 396 (100) | 1.441 (0.220–1.824) | 0.05 |
| Cigarette smoking | 22 (5.6) | 374 (94.4) | 396 (100) | 0.212 (0.310–2.130) | 0.58 |
Source: fieldwork, 2019; p < 0.05 significant; reference category (RC), no response. Data are expressed as number, percentage, and OR.
Figure 4Level of perceived risk towards CKD ailments among respondents.
Self-reported perceived risk of factors influencing behavioural, demographic, and risk factors for CKD among respondents.
| Perceived risk of behavioural and demographic factors | Agree, | Disagree, | Total, | OR (95% CI) |
|
|---|---|---|---|---|---|
| I can never develop CKD (perceived risk) | |||||
| High perceived risk (RC) | RC | ||||
| Low perceived risk | 234 (36.0%) | 416 (64.0%) | 650 (100) | 0.12 (0.42–1.32) | 0.310 |
| CKD does not occur among the following age cohorts: | |||||
| Younger adults (15-29 years) (RC) | RC | ||||
| Young adults (30–39 years) | 241 (37.1%) | 409 (62.9%) | 650 (100) | 0.25 (0.12–1.87) | 0.00 |
| Middle-aged adults (40–49 years) | 231 (35.5%) | 419 (64.5%) | 650 (100) | 0.62 (0.52–1.68) | 0.00 |
| Perceived risk of independent risk factors of CKD | Agree, | Disagree, | Total, | OR (95% CI) |
|
| Independent CKD risk factors | |||||
| Herbal supplements (RC) | RC | ||||
| Herbal drinks | 204 (31.4%) | 446 (68.6%) | 650 (100) | 0.28 (0.72–1.32) | 0.00 |
| Misuse of analgesic (NSAIDs) | 216 (33.2%) | 434 (66.8%) | 650 (100) | 0.46 (0.49–1.57) | 0.00 |
| Perceived risk of dependent risk factors of CKD | Agree, | Disagree, | Total, | OR (95% CI) |
|
| Diabetes | |||||
| No (RC) | 195 (30.0%) | 455 (70.0) | 650 (100) | RC | 0.14 |
| Yes | 0.48 (0.73–1.65) | ||||
| Hypertension | |||||
| No (RC) | 202 (31.1%) | 448 (68.9%) | 650 (100) | RC | 0.04 |
| Yes | 0.73 (0.281–1.96) | ||||
| Family history of kidney disease ailments | |||||
| No (RC) | 222 (34.2%) | 428 (65.8%) | 650 (100) | RC | 0.05 |
| Yes | 0.64 (0.43–1.84) | ||||
| High cholesterol | |||||
| No (RC) | 203 (31.2%) | 447 (68.8%) | 650 (100) | RC | 0.23 |
| Yes | 0.62 (0.44–0.98) | ||||
| Cigarette smoking | |||||
| No (RC) | 75 (11.5%) | 575 (8.5%) | 650 (100) | RC | 0.08 |
| Yes | 0.72 (0.79–1.99) | ||||
Source: fieldwork, 2019; p < 0.05, significant. Data are expressed as number, percentage, and odds ratio.
Figure 5Level of perception of risk factors among respondents.
Binary and multinomial logistic regression analyses of predictors likely to influence knowledge and perceived/perception of CKD risk factors among respondents.
| Section A. Binary logistic regression analysis of demographic factors associated with respondents' increased knowledge | ||||
|---|---|---|---|---|
| Demographic factors |
| SE | Odds ratio (OR) |
|
| Younger aged adults (15–29 years) | ||||
| No (RC) | 1 | |||
| Yes | 0.249 | 0.182 | 1.42 (0.68–1.65) | 0.02 |
| High education | ||||
| No (RC) | 1 | |||
| Yes | 0.418 | 0.242 | 3.39 (1.01–3.65) | 0.00 |
| High income | ||||
| No (RC) | 1 | |||
| Yes | 0.261 | 0.148 | 2.44 (1.29–2.80) | 0.00 |
| Section B. Multinomial logistic regression analysis of perceived risk associated with knowledge of CKD independent risk factors | ||||
| Independent risk factors of CKD |
| SE | Odds ratio (OR) |
|
| Misuse of analgesics (NASAIDs) | ||||
| No (RC) | 1 | |||
| Yes | 0.207 | 0.479 | 1.96 (1.32–2.31) | 0.00 |
| Herbal drink | ||||
| No (RC) | 1 | |||
| Yes | 0.523 | 0.164 | 2.01 (1.22–2.32) | 0.00 |
| Herbal supplements | ||||
| No (RC) | 1 | |||
| Yes | 0.426 | 0.218 | 1.23 (0.82–1.95) | 0.04 |
| Section C. Multinomial logistic regression analysis of perceived risk associated with knowledge of CKD dependent risk factors | ||||
| Dependent risk factors |
| SE | Odds ratio (OR) |
|
| Diabetes | ||||
| No (RC) | 1 | |||
| Yes | 0.213 | 0.564 | 0.10 (0.23–1.15) | 0.20 |
| Hypertension | ||||
| No (RC) | 1 | |||
| Yes | 0.847 | 0.293 | 1.95 (1.32–3.20) | 0.03 |
| Family history of KD ailments | ||||
| No (RC) | 1 | |||
| Yes | 0.416 | 0.137 | 1.15 (0.32–1.46) | 0.02 |
| High cholesterol | ||||
| No (RC) | 1 | |||
| Yes | 0.020 | 0.145 | 0.54 (0.57–1.23) | 0.30 |
| Cigarette smoking | ||||
| No (RC) | 1 | |||
| Yes | 0.132 | 0.236 | 0.61 (0.30–1.76) | 0.12 |
Source: fieldwork, 2019; p < 0.05, significant. Data are expressed as odds ratio.