| Literature DB >> 17324293 |
Laura del Pilar Torres-Arreola1, Patricia Constantino-Casas, Juan Pablo Villa-Barragán, Svetlana Vladislavovna Doubova.
Abstract
BACKGROUND: To explore differences related to health and working conditions by comparing socio-demographic parameters, reproductive and prenatal care characteristics and working conditions among pregnant women who are employed outside the home (extra-domestic) while still performing a domestic workload versus those who perform exclusively domestic work in the home (intra-domestic).Entities:
Mesh:
Year: 2007 PMID: 17324293 PMCID: PMC1819372 DOI: 10.1186/1471-2458-7-25
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics of the study population
| 14–19 | 17 | 8.7 | 52 | 15.3 |
| 20–34 | 169 | 86.2 | 279 | 81.8 |
| ≥ 35 | 10 | 5.1 | 10 | 2.9 |
| Married | 107 | 54.6 | 276 | 81.0 |
| Free union | 60 | 30.6 | 57 | 16.7 |
| Single, divorced | 29 | 14.8 | 8 | 2.3 |
| ≤ 3 | 2 | 15.3 | 6 | 1.8 |
| 4–6 | 19 | 41.6 | 46 | 13.5 |
| 7–9 | 59 | 34.9 | 142 | 41.8 |
| 10–12 | 77 | 7.9 | 119 | 35.0 |
| > 12 | 39 | 19.9 | 27 | 7.9 |
| High | 60 | 30.6 | 86 | 25.2 |
| Medium | 91 | 46.4 | 135 | 39.6 |
| Low | 45 | 22.9 | 120 | 35.2 |
| House | 99 | 50.5 | 162 | 47.5 |
| Car* | 52 | 26.5 | 47 | 13.8 |
| Washing machine | 128 | 65.3 | 213 | 62.5 |
| Stove | 189 | 96.4 | 330 | 96.8 |
| Refrigerator* | 165 | 84.2 | 260 | 76.3 |
| Computer* | 39 | 19.9 | 37 | 10.8 |
| Television | 191 | 97.4 | 329 | 96.5 |
| 1 | 93 | 47.4 | 124 | 36.3 |
| 2–3 | 92 | 46.9 | 189 | 55.4 |
| > 3 | 11 | 5.6 | 28 | 8.2 |
| 3 | 1.5 | 30 | 8.8 | |
| First trimester* | 138 | 71.5 | 195 | 62.7 |
| Second trimester | 47 | 24.3 | 74 | 23.8 |
| Third trimester* | 8 | 4.1 | 42 | 13.5 |
P < 0.05
Working characteristics of women dedicated to extra-domestic work
| Clerk | 154 | 78.6 |
| Unskilled worker | 37 | 18.9 |
| Independent work | 5 | 2.5 |
| Administrative | 52 | 33.8 |
| Manufacturing | 19 | 12.3 |
| Services | 69 | 44.8 |
| Domestic services | 14 | 9.1 |
| Inadequate illumination | 157 | 80.1 |
| Inappropriate temperatures | 99 | 50.5 |
| Inadequate ventilation | 102 | 52.0 |
| Noise | 81 | 41.3 |
| 145 | 74.0 | |
| Independent professional | 4 | 2.7 |
| Clerk | 115 | 79.3 |
| Unskilled worker | 26 | 18.0 |
| Administrative | 36 | 31.3 |
| Manufacturing | 12 | 10.4 |
| Services | 61 | 53.0 |
| Domestic services | 6 | 5.2 |
| Contribution to family income | 144 | 73.5 |
| Professional development | 27 | 13.8 |
| Sole source of income for the family | 25 | 12.7 |
| Job change due to pregnancy | 18 | 9.2 |
| Job insecurity or dismissal due to pregnancy | 50 | 25.5 |
| Absence of knowledge about women's maternity rights | 161 | 82.0 |
Characteristics of household activities at home
| Washing clothes*+ | 92 | 46.9 | 211 | 61.8 |
| Ironing | 48 | 24.5 | 96 | 28.1 |
| Cooking* | 25 | 12.8 | 115 | 33.7 |
| Sweeping/dusting* | 58 | 29.6 | 165 | 48.3 |
| Cleaning bathrooms | 44 | 22.4 | 130 | 38.1 |
| Making beds | 49 | 25.0 | 102 | 29.9 |
| Cleaning stove and/or refrigerator* | 58 | 29.6 | 125 | 36.6 |
| Washing windows* | 21 | 10.7 | 58 | 17.0 |
| Washing dishes* | 65 | 33.1 | 167 | 48.9 |
| Shopping | 49 | 25.0 | 166 | 48.7 |
| 88 | 44.9 | 236 | 69.2 | |
*p < 0.05
+High domestic workload was calculated in terms of frequency of the activity over time.
Health damage indicators during pregnancy
| 104 | 53.0 | 192 | 56.3 | 0.5 | |
| 31 | 15.8 | 50 | 14.6 | 0.7 | |
| 122 | 62.2 | 208 | 61.0 | 0.7 | |
| 106 | 54.0 | 211 | 61.8 | 0.07 | |
| 148 | 75.5 | 279 | 81.8 | 0.08 | |
*x2
Health damage indicators related with working conditions
| 1.45 | 0.7–2.2 | 1.6 | 0.8–2.9 | 1.87* | 1.01–3.5 | |
| High workload | 1.05 | 0.6–1.68 | 0.7 | 0.41–0.93 | 0.72 | 0.5–1.07 |
| 2–3 | 1.21 | 0.7–1.98 | 1.4 | 0.92–2.14 | 1.36 | 0.9–2.05 |
| > 3 | 2.5 | 0.84–7.4 | 1.4 | 0.62–3.1 | 3.05* | 1.3–7.3 |
| 1.17 | 0.5–2.5 | 2.03* | 1.05–3.9 | 1.6 | 0.8–3.06 | |
| < 20 years | 4.3* | 1.6–11.4 | 1.9 | 0.91–3.9 | 1.7 | 0.87–3.5 |
| 20–24 years | 1.7* | 1.0–2.9 | 0.94 | 0.59–1.5 | 1.6 | 0.99–2.5 |
* p < 0.05
** Adjusted by schooling, marital status, history of smoking, and alcohol consumption during pregnancy.