| Literature DB >> 35604509 |
H Okhai1, C Sabin2, K Haag2, L Sherr2, R Dhairyawan3, J Shephard4, G Richard2, F Burns2,5, F Post6, R Jones7, Y Gilleece8,9, S Tariq2.
Abstract
Increasing numbers of women with HIV are experiencing menopause. We use data from a large, representative sample of women with HIV to describe the prevalence and clustering of menopausal symptoms amongst pre-, peri- and post-menopausal women using hierarchical agglomerative cluster analysis. Of the 709 women included, 21.6%, 44.9% and 33.6% were pre-, peri- and post-menopausal, respectively. Joint pain (66.4%) was the most commonly reported symptom, followed by hot flashes (63.0%), exhaustion (61.6%) and sleep problems (61.4%). All symptoms were reported more commonly by peri- and post-menopausal women compared to pre-menopausal women. Psychological symptoms and sleep problems clustered together at all menopausal stages. Somatic and urogenital symptom clusters emerged more distinctly at peri- and post-menopause. We recommend regular and proactive assessment of menopausal symptoms in midlife women with HIV, with an awareness of how particular patterns of symptoms may evolve over the menopausal transition.Entities:
Keywords: Ageing; HIV; Menopause; Symptoms
Mesh:
Year: 2022 PMID: 35604509 PMCID: PMC9550775 DOI: 10.1007/s10461-022-03696-4
Source DB: PubMed Journal: AIDS Behav ISSN: 1090-7165
Demographic, social and clinical characteristics relating to HIV and menopause reported by women from the PRIME study included in the analysis, stratified by severity of menopausal symptoms
| Variables | All participants | Severity of menopausal symptoms (MRS scale) | p-value | |||||
|---|---|---|---|---|---|---|---|---|
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|
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| N | 709 | 211 | 117 | 182 | 199 | |||
| Age at completion of questionnaire, median (IQR) | 49 (47, 52) | 48 (46, 52) | 49 (47, 52) | 50 (47, 53) | 50 (48, 53) | 16.68 | 0.003 | |
| Menopausal status | Pre-menopausal | 151 (21.6%) | 80 (38.1%) | 22 (19.0%) | 33 (18.5%) | 16 (8.2%) | 56.32 (6) | < 0.001 |
| Peri-menopausal | 314 (44.9%) | 74 (35.2%) | 53 (45.7%) | 82 (46.1%) | 105 (53.6%) | |||
| Post-menopausal | 235 (33.6%) | 56 (26.7%) | 41 (35.3%) | 63 (35.4%) | 75 (38.3%) | |||
| Ethnicity | Black African | 500 (71.7%) | 162 (78.6%) | 89 (76.7%) | 125 (70.2%) | 124 (62.9%) | 18.53 (9) | 0.03 |
| White UK | 90 (12.9%) | 18 (8.7%) | 10 (8.6%) | 25 (14.0%) | 37 (18.8%) | |||
| Black other | 61 (8.8%) | 18 (8.7%) | 8 (6.9%) | 14 (7.9%) | 21 (10.7%) | |||
| Other | 46 (6.6%) | 8 (3.9%) | 9 (7.8%) | 14 (7.9%) | 15 (7.6%) | |||
| Currently employed | 472 (68.9%) | 160 (78.4%) | 87 (78.4%) | 135 (76.3%) | 90 (46.6%) | 62.46 (3) | < 0.001 | |
| In a relationship | 386 (57.1%) | 114 (57.3%) | 59 (53.2%) | 108 (61.7%) | 105 (55.0%) | 2.58 (3) | 0.46 | |
| Completed education | Did not finish school | 72 (10.6%) | 20 (9.8%) | 11 (9.8%) | 16 (9.1%) | 25 (13.4%) | 11.98 (6) | 0.06 |
| High school/equivalent | 298 (43.9%) | 84 (41.2%) | 42 (37.5%) | 76 (43.2%) | 96 (51.3%) | |||
| University | 309 (45.5%) | 100 (49.0%) | 59 (52.7%) | 84 (47.7%) | 66 (35.3%) | |||
| Current smoker | 59 (8.5%) | 5 (2.5%) | 3 (2.6%) | 17 (9.4%) | 34 (17.4%) | 34.69 (3) | < 0.001 | |
| Alcohol use | No alcohol use | 265 (37.4%) | 102 (48.3%) | 38 (32.5%) | 68 (37.4%) | 57 (28.6%) | 20.25 (6) | 0.002 |
| Non-risky drinking | 343 (48.4%) | 87 (41.2%) | 64 (54.7%) | 85 (46.7%) | 107 (53.8%) | |||
| Risky drinking | 101 (14.2%) | 22 (10.4%) | 15 (12.8%) | 29 (15.9%) | 35 (17.6%) | |||
| Recreational drug use in last 6 months | 19 (2.7%) | 2 (1.0) | 2 (1.7) | 5 (2.8) | 10 (5.0) | 7.18 (3) | 0.07 | |
| Number of medical | 0 | 453 (63.9%) | 155 (73.5%) | 73 (62.4%) | 118 (64.8%) | 107 (53.8%) | 18.54 (9) | 0.03 |
| conditions | 1 | 195 (27.5%) | 44 (20.9%) | 33 (28.2%) | 49 (26.9%) | 69 (34.7%) | ||
| 2 | 53 (7.5%) | 10 (4.7%) | 9 (7.7%) | 13 (7.1%) | 21 (10.6%) | |||
| 8 (1.1%) | 2 (0.9%) | 2 (1.7%) | 2 (1.1%) | 2 (1.0%) | ||||
| Ever diagnosed with depression | 214 (30.7%) | 22 (10.7%) | 21 (18.3%) | 52 (28.7%) | 119 (61.0%) | 131.29 (3) | < 0.001 | |
| Initiated ART | 691 (97.9%) | 204 (97.6%) | 116 (99.2%) | 177 (97.8%) | 194 (97.5%) | 1.13 (3) | 0.77 | |
| Last CD4 count | > 500 | 435 (69.2%) | 119 (65.7%) | 74 (70.5%) | 122 (72.2%) | 120 (69.0%) | 4.56 (6) | 0.60 |
| (cells/mm3) | 200–500 | 151 (24.0%) | 51 (28.2%) | 22 (21.0%) | 34 (20.1%) | 44 (25.3%) | ||
| < 200 | 43 (6.8%) | 11 (6.1%) | 9 (8.6%) | 13 (7.7%) | 10 (5.7%) | |||
| Last HIV viral load | Undetectable | 594 (88.1%) | 170 (85.4%) | 97 (89.0%) | 163 (92.1%) | 164 (86.8%) | 4.45 (3) | 0.22 |
| Detectable | 80 (11.9%) | 29 (14.6%) | 12 (11.0%) | 14 (7.9%) | 25 (13.2%) | |||
| Ever used HRT | 54 (11.8%) | 4 (3.3%) | 9 (11.5%) | 17 (14.1%) | 24 (17.5%) | 13.42 (3) | 0.004 | |
IQR: interquartile range; HRT: Hormone replacement therapy
Number with missing values: menopausal status: 9; ethnicity: 12; born UK: 11; employment status: 24; relationship status: 33; education: 30; smoking: 17; Initiated ART: 14; last HIV VL: 35; last CD4: 80; ever used HRT: 251
Fig. 1Severity of menopausal symptoms reported amongst women with a completed PRIME questionnaire and MRS rating scale score, stratified by menopausal status (n = 700)
Fig. 2Dendrogram representing the clustering of menopausal symptoms reported by women in PRIME at each menopausal status
*A shorter horizontal distance between clusters suggests a closer relationship between the symptoms