Growth Profiles of Children and Adolescents Living with and without Perinatal HIV Infection in Southern Africa: A Secondary Analysis of Cohort Data

Author:

Rehman Andrea M.1ORCID,Sekitoleko Isaac2,Rukuni Ruramayi34,Webb Emily L.1,McHugh Grace4,Bandason Tsitsi4ORCID,Moyo Brewster5,Ngwira Lucky Gift56,Mukwasi-Kahari Cynthia47,Gregson Celia L.89ORCID,Simms Victoria14ORCID,Filteau Suzanne10,Ferrand Rashida A.34ORCID

Affiliation:

1. MRC International Statistics and Epidemiology Group, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK

2. MRC/UVRI and LSHTM Uganda Research Unit, Entebbe P.O. Box 49, Uganda

3. Department of Clinical Research, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK

4. The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare P.O. Box A178, Zimbabwe

5. Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre 312233, Malawi

6. Health Economics Policy Unit, Kamuzu University of Health Sciences, Blantyre 312225, Malawi

7. Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK

8. Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1QU, UK

9. SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, University of the Witwatersrand, Johannesburg 2050, South Africa

10. Department of Population Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK

Abstract

Impaired linear growth and slower pubertal growth can be associated with perinatal HIV infection. We characterised growth relative to population norms, among the full adolescent period in southern Africa to better understand processes leading to morbidity in adulthood. We conducted a secondary analysis of 945 adolescents aged 8–20 years from urban Malawi and Zimbabwe; we included children with HIV (CWH), an uninfected comparison group from a cohort study, and CWH with co-morbid chronic lung disease (CLD) from a randomised controlled trial. We used latent class analysis of anthropometric Z-scores generated from British 1990 reference equations at two annual time-points, to identify growth trajectory profiles and used multinomial logistic regression to identify factors associated with growth profiles. Growth faltering (one or more of weight-for-age, height-for-age, or BMI-for-age Z-scores < −2) occurred in 38% (116/303) of CWH from the cohort study, 62% (209/336) of CWH with CLD, and 14% (44/306) of HIV-uninfected participants. We identified seven different growth profiles, defined, relatively, as (1) average growth, (2) tall not thin, (3) short not thin, (4) stunted not thin, (5) thin not stunted, (6) thin and stunted and (7) very thin and stunted. Females in profile 3 exhibited the highest body fat percentage, which increased over 1 year. Males at older age and CWH especially those with CLD were more likely to fall into growth profiles 4–7. Improvements in height-for-age Z-scores were observed in profiles 6–7 over 1 year. Interventions to target those with the worst growth faltering and longer-term follow-up to assess the impact on adult health are warranted.

Funder

Global Health and Vaccination Programme of the Norwegian Research Council

Wellcome Trust UK

National Institute of Health Fogarty Trent Fellowship

Wellcome Trust

UK Medical Research Council

UK Foreign, Commonwealth and Development Office

European Union

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3