| Literature DB >> 29176778 |
Sarah C Miller-Fellows1, Laura Howard1, Rebekah Kramer1, Vanessa Hildebrand1, Jennifer Furin1, Francis M Mutuku2, Dunstan Mukoko3, Julianne A Ivy4, Charles H King4,5.
Abstract
BACKGROUND: Previous research has documented an increased risk of subfertility in areas of sub-Saharan Africa, as well as an ecological association between urogenital schistosomiasis prevalence and decreased fertility. This pilot project examined reproductive patterns and the potential effects of childhood urogenital Schistosoma haematobium infection and individual treatment experience on adult subfertility among women who were long-term residents in an S. haematobium-endemic region of coastal Kenya. METHODOLOGY/PRINCIPALEntities:
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Year: 2017 PMID: 29176778 PMCID: PMC5720807 DOI: 10.1371/journal.pntd.0006101
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Flow diagram of study subject subgroups analyses.
The boxes indicate the number of women having information available on subfertility, on past S. haematobium infection, and on documented past treatment, respectively.
Description of fertility characteristics for the overall study population (N = 162).
| Characteristic | Mean ± SD | Range |
|---|---|---|
| Age in years at time of interview | 38.6 ± 13.1 | 15–62 |
| Years of exposure to pregnancy | 12.5 ± 8.6 | 1–30 |
| Gravidity (times pregnant) | 4.1 ± 2.6 | 0–12 |
| Parity (births after 20 weeks) | 3.9 ± 2.4 | 0–10 |
| Desired number of children | 5.1 ± 2.3 | 2–20 |
| Abortus (pregnancy not resulting in live birth) | 0.5 ± 0.8 | 0–4 |
| Percent of all pregnancies ending in miscarriage or stillbirth | 12% (10–15%) | --- |
†95% Confidence Interval
Overall group prevalence of subfertility and past S. haematobium infection status.
| Status | Source | Count/Total | Percent affected (CI95%) |
|---|---|---|---|
| Subfertility | Interview | 71/160 | 44% (37–52%) |
| Primary infertility | Interview | 3/160 | 2% (0.3–5%) |
| Secondary infertility | Interview | 68/160 | 42% (35–51%) |
| Confirmed infection | Previous databases | 67/162 | 41% (34–49%) |
| Probable infection | Health history, village of origin or primary school | 57/162 | 35% (28–43%) |
| Unlikely infection | Previous databases, village of origin or primary school | 10/162 | 6% (3–11%) |
| Unknown infection status | --- | 28/162 | 17% (12–24%) |
Subfertility prevalence according to past S. haematobium infection status (N = 132).
| Status | N for Category | Subfertility | Percent affected (CI95%) |
|---|---|---|---|
| Confirmed infection | 66 | 25 | 38% (26–51%) |
| Probable infection | 56 | 25 | 45% (31–59%) |
| Unlikely infection | 10 | 8 | 80% (44–97%) |
| 132 | 58 | 44% (35–53%) |
*χ2 = 6.27, P = 0.0435 for significant difference among groups.
Subfertility among women with positive infection status according to their treatment history (N = 122).
| Subfertility | No Subfertility | ||||
|---|---|---|---|---|---|
| Status | N | N (%) | CI95% | N (%) | CI95% |
| 82 | 34 (42%) | 31–53% | 48 (58%) | 47%, 69% | |
| 40 | 16 (40%) | 25–57% | 24 (60%) | 43–75% | |
| 122 | 50 (41%) | 32–50% | 72 (59%) | 50–68% | |
*χ2 = 0.2, difference not significant
Effects of multiplicity and timing of documented anti-schistosomal treatment on the odds for subfertility (N = 61).
| Covariate | Odds Ratio | CI95% | P value |
|---|---|---|---|
| Number of treatments reported | 0.743 | 0.445, 1.240 | 0.255 |
| Age at first treatment | 1.065 | 1.044, 1.089 | 0.001 |
Fig 2Subfertility (dark bars) vs. normal fertility (light bars) according to the timing of first anti-schistosomal treatment.
The association between earlier anti-schistosomal treatment and fertility status is indicated according to whether the study participant (N = 61) had documented treatment before age 21 or after. Abbreviation: Rx indicates drug treatment.