| Literature DB >> 22867435 |
Benedict O Asamoah1, Anette Agardh.
Abstract
INTRODUCTION: The fight against maternal deaths has gained attention as the target date for Millennium Development Goal 5 approaches. Induced-abortion is one of the leading causes of maternal deaths in developing countries which hamper this effort. In Ghana, alcohol consumption and unwanted pregnancies are on the ascendancy. We examined the association between alcohol consumption and maternal mortality from induced-abortion. We further analyzed the factors that lie behind the alcohol consumption patterns in the study population.Entities:
Mesh:
Year: 2012 PMID: 22867435 PMCID: PMC3453516 DOI: 10.1186/1742-4755-9-10
Source DB: PubMed Journal: Reprod Health ISSN: 1742-4755 Impact factor: 3.223
Figure 1Flow chart on sample selection process.
Prevalence of induced abortion, other causes of maternal death, alcohol consumption, and socio-demographic characteristics among 605 women who died from pregnancy-related causes in Ghana between 2000 and 2005
| | | |
| Yes | 83 | 13.7 |
| No | 522 | 86.3 |
| Haemorrhage | 138 | 22.8 |
| Hypertensive disorders of pregnancy | 54 | 8.9 |
| Sepsis | 42 | 6.9 |
| Obstructed labour | 27 | 4.5 |
| Miscarriage | 20 | 3.3 |
| Other infectious diseasesa | 84 | 13.9 |
| Other non-infectious diseasesb | 75 | 12.4 |
| Miscellaneousc | 82 | 13.6 |
| | | |
| Yes | 85 | 14.3 |
| No | 509 | 85.7 |
| Missing | 11 | |
| | | |
| Yes | 81 | 13.6 |
| No | 513 | 86.4 |
| Missing | 11 | |
| | | |
| Frequent consumer | 25 | 4.2 |
| Occasional consumer | 59 | 9.9 |
| Abstainer | 510 | 85.9 |
| Missing | 11 | |
| | | |
| <Year | 7 | 10.4d |
| ≥Year | 60 | 89.6d |
| | | |
| Never attended | 208 | 34.4 |
| Basic Education | 332 | 54.9 |
| Senior secondary | 52 | 8.6 |
| Tertiary/Higher education | 13 | 2.1 |
| | | |
| 18 years and below | 44 | 7.3 |
| Above 18 years | 561 | 92.7 |
| | | |
| 12-14 years | 3 | 0.5 |
| 15-19 years | 62 | 10.2 |
| 20-24 years | 115 | 19.0 |
| 25-29 years | 133 | 22.0 |
| 30-34 years | 116 | 19.2 |
| 35-39 years | 106 | 17.5 |
| 40-44 years | 55 | 9.1 |
| 45-49 years | 15 | 2.5 |
| | | |
| Rural | 389 | 64.3 |
| Urban | 216 | 35.7 |
| | | |
| Single | 99 | 16.4 |
| Married | 506 | 83.6 |
a The major infectious diseases were malaria 53.6%, viral hepatitis 13.1%, unspecified infections 7.1% and tuberculosis 2.4%.
b The major cause of death in the category of non-infectious diseases was Anaemia 41.3%; followed by diseases of blood and blood-forming organs 17.3%; respiratory diseases 14.6%; and circulatory diseases 12.0%.
c Miscellaneous causes comprised mainly obstetric deaths of unspecified causes 26.8%, rupture of uterus 17.1%, complications of obstetric surgery 14.6%, embolism 9.8%, complications of anaesthesia 4.8% and other complications of pregnancy, labour and puerperium.
d Only analyzed among individuals who drank alcohol.
Association (Crude Odds ratios and 95% confidence intervals) between alcohol consumption and induced abortion among 605 women who died from pregnancy-related causes in Ghana between 2000 and 2005
| | | | | | |
| Yes | 18 | 22.0 | 67 | 13.1 | 1.9 (1.04-3.35) |
| No | 64 | 78.0 | 445 | 86.9 | Ref |
| | | | | | |
| Frequent consumer | 5 | 6.1 | 20 | 3.9 | 1.7 (0.63-4.8) |
| Occasional consumer | 13 | 15.9 | 46 | 9.0 | 2.0 (1.01-3.85) |
| Abstainer | 64 | 78.0 | 446 | 87.1 | Ref |
Association (Adjusted Odds ratios and 95% confidence interval) between alcohol consumption and induced abortion among 605 women who died from pregnancy-related causes in Ghana between 2000 and 2005 with stepwise adjustment for potential confounders
| | | | | |
| Yes | 2.2(1.19-3.93) | 2.4(1.29-4.44) | 2.4(1.29-4.44) | 2.6(1.38-4.87) |
| No | ref. | Ref. | Ref. | Ref. |
| | | | | |
| Frequent consumer | 2.1(0.74-5.73) | 2.4(0.85-6.98) | 2.4(0.86-7.08) | 2.6(0.89-7.40) |
| Occasional consumer | 2.3(1.15-4.47) | 2.4(1.19-4.93) | 2.4(1.19-4.90) | 2.7(1.29-5.46) |
| Abstainer | Ref. | Ref. | Ref. | Ref. |
Model 1: adjusted for age.
Model 2: adjusted for age and marital status.
Model 3: adjusted for age, marital status and rural/urban residence status.
Model 4: adjusted for age, marital status, rural/urban residence status and educational level.