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Featured researches published by Richard J. Munthali.


Hypertension | 2016

Association Between Early Life Growth and Blood Pressure Trajectories in Black South African Children

Juliana Kagura; Linda S. Adair; Richard J. Munthali; John M. Pettifor; Shane A. Norris

Early growth is associated with blood pressure measured on one occasion, but whether early life growth patterns are associated with longitudinal blood pressure trajectories is under-researched. Therefore, we sought to examine the association between early growth and blood pressure trajectories from childhood to adulthood. Blood pressure was measured on 7 occasions between ages 5 and 18 years in the Birth to Twenty cohort study, and conditional variables for growth in infancy and mid-childhood were computed from anthropometric measures (n=1937, 52% girls). We used a group-based trajectory modeling approach to identify distinct height-adjusted blood pressure trajectories and then tested their association with growth between birth and mid-childhood adjusting for several covariates. Three trajectory groups were identified for systolic and diastolic blood pressure: lower, middle, and upper in boys and girls, separately. In boys, predictors of the middle or upper systolic blood pressure trajectories versus the lower trajectory were in birth weight (odds ratio 0.75 [95% confidence interval 0.58–0.96] per SD) and relative weight gain in infancy (4.11 [1.25–13.51] per SD). In girls, greater relative weight gain and linear growth in both infancy and mid-childhood were consistently associated with an almost 2-fold higher likelihood of being in the upper versus lower systolic blood pressure trajectory. The associations for the diastolic blood pressure trajectories were inconsistent. These findings emphasize the importance of identifying children at risk of progression to high blood pressure. Accelerated growth in infancy and mid-childhood may be a key target for early life intervention in prevention of elevated blood pressure progression.


International Journal of Environmental Research and Public Health | 2017

Understanding the Relationship between Socio-Economic Status, Physical Activity and Sedentary Behaviour, and Adiposity in Young Adult South African Women Using Structural Equation Modelling

Lisa K. Micklesfield; Richard J. Munthali; Alessandra Prioreschi; Rihlat Said-Mohamed; Alastair van Heerden; Stephen Tollman; Kathleen Kahn; David B. Dunger; Shane A. Norris

Socio-economic status (SES) is an important predictor of obesity, but how it is associated with differences in physical activity and sedentary behaviour is less clear. This cross-sectional study examined the association between SES (sum of household assets), physical activity and sedentary time, and how they predict adiposity. Socio-demographic, anthropometric, and physical activity data on rural (n = 509) and urban (n = 510) South African women (18–23 years) were collected. Overweight and obesity prevalence, and sedentary time, were higher; and moderate-vigorous intensity physical activity (MVPA) was lower, in the urban sample. Structural equation models (SEMs) were constructed for BMI and waist circumference. In the urban sample SES had a direct inverse effect on MVPA (ß; 95% CI, −41.69; −73.40 to −9.98), while in the rural sample SES had a direct effect on BMI (ß; 95% CI, 0.306; 0.03 to 0.59). In the pooled sample, SES had a direct inverse effect on MVPA (ß; 95% CI, −144; −170.34 to −119.04), and MVPA was directly associated with BMI (ß; 95% CI, 0.04; 0.01 to 0.08). The influence of SES, and the role of physical activity and sedentary time on adiposity differs between the urban and rural samples, and the importance of other environmental and behavioural factors must be considered in the development of obesity and the design of effective interventions.


Annals of Human Biology | 2018

Rural–urban variations in age at menarche, adult height, leg-length and abdominal adiposity in black South African women in transitioning South Africa

Rihlat Said-Mohamed; Alessandra Prioreschi; Lukhanyo Nyati; Alastair van Heerden; Richard J. Munthali; Kathleen Kahn; Stephen Tollman; Francesc Xavier Gómez-Olivé; Brian Houle; David Dunger; Shane A. Norris

Abstract Background: The pre-pubertal socioeconomic environment may be an important determinant of age at menarche, adult height, body proportions and adiposity: traits closely linked to adolescent and adult health. Aims: This study explored differences in age at menarche, adult height, relative leg-length and waist circumference between rural and urban black South African young adult women, who are at different stages of the nutrition and epidemiologic transitions. Subjects and methods: We compared 18–23 year-old black South African women, 482 urban-dwelling from Soweto and 509 from the rural Mpumalanga province. Age at menarche, obstetric history and household socio-demographic and economic information were recorded using interview-administered questionnaires. Height, sitting-height, hip and waist circumference were measured using standardised techniques. Results: Urban and rural black South African women differed in their age at menarche (at ages 12.7 and 14.5 years, respectively). In urban women, a one-year increase in age at menarche was associated with a 0.65 cm and 0.16% increase in height and relative leg-length ratio, respectively. In both settings, earlier age at menarche and shorter relative leg-length were independently associated with an increase in waist circumference. Conclusions: In black South African women, the earlier onset of puberty, and consequently an earlier growth cessation process, may lead to central fat mass accumulation in adulthood.


PLOS Computational Biology | 2017

Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network

C. Victor Jongeneel; Ovokeraye Achinike-Oduaran; Ezekiel Adebiyi; Marion O. Adebiyi; Seun Adeyemi; Bola Akanle; Shaun Aron; Efejiro Ashano; Hocine Bendou; Gerrit Botha; Emile R. Chimusa; Ananyo Choudhury; Ravikiran Donthu; Jenny Drnevich; Oluwadamila Falola; Christopher J. Fields; Scott Hazelhurst; Liesl M. Hendry; Itunuoluwa Isewon; Radhika S. Khetani; Judit Kumuthini; Magambo Phillip Kimuda; Lerato Magosi; Liudmila Sergeevna Mainzer; Suresh Maslamoney; Mamana Mbiyavanga; Ayton Meintjes; Danny Mugutso; Phelelani T. Mpangase; Richard J. Munthali

The H3ABioNet pan-African bioinformatics network, which is funded to support the Human Heredity and Health in Africa (H3Africa) program, has developed node-assessment exercises to gauge the ability of its participating research and service groups to analyze typical genome-wide datasets being generated by H3Africa research groups. We describe a framework for the assessment of computational genomics analysis skills, which includes standard operating procedures, training and test datasets, and a process for administering the exercise. We present the experiences of 3 research groups that have taken the exercise and the impact on their ability to manage complex projects. Finally, we discuss the reasons why many H3ABioNet nodes have declined so far to participate and potential strategies to encourage them to do so.


Nutrition & Diabetes | 2018

Genetic variants in SEC16B are associated with body composition in black South Africans

Venesa Sahibdeen; Nigel J. Crowther; Himla Soodyall; Liesl M. Hendry; Richard J. Munthali; Scott Hazelhurst; Ananyo Choudhury; Shane A. Norris; Michele Ramsay; Zané Lombard

ObjectiveThe latest genome-wide association studies of obesity-related traits have identified several genetic loci contributing to body composition (BC). These findings have not been robustly replicated in African populations, therefore, this study aimed to assess whether European BC-associated gene loci played a similar role in a South African black population.MethodsA replication and fine-mapping study was performed in participants from the Birth to Twenty cohort (N = 1,926) using the Metabochip. Measurements included body mass index (BMI), waist and hip circumference, waist-to-hip ratio (WHR), total fat mass, total lean mass and percentage fat mass (PFM).ResultsSNPs in several gene loci, including SEC16B (Padj <  9.48 × 10−7), NEGR1 (Padj < 1.64 × 10−6), FTO (Padj < 2.91 × 10−5), TMEM18 (Padj < 2.27 × 10−5), and WARS2(Padj < 3.25 × 10−5) were similarly associated (albeit not at array-wide signficance (P ≤ 6.7 × 10−7) with various phenotypes including fat mass, PFM, WHR linked to BC in this African cohort, however the associations were driven by different sentinel SNPs. More importantly, DXA-derived BC measures revealed stronger genetic associations than simple anthropometric measures. Association signals generated in this study were shared by European and African populations, as well as unique to this African cohort. Moreover, sophisticated estimates like DXA measures enabled an enhanced characterisation of genetic associations for BC traits.ConclusionResults from this study suggest that in-depth genomic studies in larger African cohorts may reveal novel SNPs for body composition and adiposity, which will provide greater insight into the aetiology of obesity.


Global Health Action | 2018

Demographic, socio-economic and behavioural correlates of BMI in middle-aged black men and women from urban Johannesburg, South Africa

Lisa K. Micklesfield; Juliana Kagura; Richard J. Munthali; Nigel J. Crowther; Nicole G. Jaff; Philippe Jean-Luc Gradidge; Michele Ramsay; Shane A. Norris

ABSTRACT Background: There is a high and increasing prevalence of overweight and obesity in South Africans of all ages. Risk factors associated with overweight and obesity must be identified to provide targets for intervention. Objective: To identify the demographic, socio-economic and behavioural factors associated with body mass index (BMI) in middle-aged black South African men and women. Methods: Data on demographic and socio-economic factors were collected via questionnaire on 1027 men and 1008 women from Soweto Johannesburg, South Africa. Weight and height were measured and BMI was determined. Behavioural factors included tobacco use and consumption of alcohol, and physical activity data were collected using the Global Physical Activity Questionnaire. Menopausal status was determined for the women, and HIV status was available for 93.6% of the men and 39.9% of the women. Results: Significantly more women were overweight or obese than men (87.9 vs. 44.9%). Smoking prevalence (current or former) and minutes spent in moderate to vigorous intensity physical activity was significantly different between the sexes (both p < 0.0001). In the final hierarchical model, marital status (+ married/cohabiting), household asset score (+), current smoking (-), moderate to vigorous physical activity (-) and HIV status (- HIV infected) significantly contributed to 26% of the variance in BMI in the men. In the women, home language (Tswana-speaking compared to Zulu-speaking), marital status (+ unmarried/cohabiting), education (-), current smoking (-) and HIV status (- HIV infected) significantly contributed to 14% of the variance in BMI. Conclusions: The sex difference in BMI and the prevalence of overweight and obesity between black South African men and women from Soweto, as well as the sex-specific associations with various demographic, socio-economic and behavioural factors, highlight the need for more tailored interventions to slow down the obesity epidemic.


European Review of Aging and Physical Activity | 2018

Influence of socioeconomic status on changes in body size and physical activity in ageing black South African women

Philippe Jean-Luc Gradidge; Shane A. Norris; Richard J. Munthali; Nigel J. Crowther

BackgroundThe increasing prevalence of obesity in sub-Saharan African women is not well understood, and black South African women in the region are particularly vulnerable. This study aimed to examine whether the relationship of socioeconomic status (SES) with changes in body mass index (BMI) and waist circumference (WC) is mediated by physical activity in ageing African women.MethodsIn a longitudinal analysis of the 518 caregivers associated with the Birth to Twenty Plus study, the role of SES associated with 10-year changes in BMI and WC was tested using structural equation modelling (SEM). The degree of mediation of moderate-vigorous physical activity (MVPA) and sitting time in this association was also assessed.ResultsThe prevalence of obesity increased significantly from baseline to follow-up (p < 0.0001). In the SEM models, baseline SES had a direct positive effect on changes in BMI (β, 95% CI, 0.02 (0.005 to 0.04), and a direct negative effect on changes in MVPA (β, 95% CI, − 3.81 (− 6.92 to − 0.70). Baseline MVPA had a direct negative effect (β, 95% CI, − 0.002 (− 0.003 to − 0.0003) and indirect positive effect via change in MVPA (β, 95% CI, 0.01 (0.0001 to 0.001) on change in WC.ConclusionsOur study demonstrates the role and interaction of sociodemographic and behavioural predictors of obesity, and suggests a multifaceted approach to management of the crisis in communities of ageing urban African women.


Diabetic Medicine | 2018

The effects of gestational diabetes mellitus on fetal growth and neonatal birth measures in an African cohort

Shelley Macaulay; Richard J. Munthali; David B. Dunger; Shane A. Norris

Fetal exposure to gestational diabetes mellitus (GDM) is said to alter fetal growth and increase the risk of macrosomia. However, little research on GDM exists in African populations. This study aimed to assess longitudinal fetal growth and neonatal birth measures among Black African babies exposed to GDM.


BMJ Open | 2017

Incidence and prevalence of type 2 diabetes mellitus with HIV infection in Africa: a systematic review and meta-analysis

Alessandra Prioreschi; Richard J. Munthali; L Soepnel; J. A. Goldstein; Lisa K. Micklesfield; David M. Aronoff; Shane A. Norris

Objectives This systematic review aims to investigate the incidence and prevalence of type 2 diabetes mellitus (T2DM) in patients with HIV infection in African populations. Setting Only studies reporting data from Africa were included. Participants A systematic search was conducted using four databases for articles referring to HIV infection and antiretroviral therapy, and T2DM in Africa. Articles were excluded if they reported data on children, animals or type 1 diabetes exclusively. Main outcome measures Incidence of T2DM and prevalence of T2DM. Risk ratios were generated for pooled data using random effects models. Bias was assessed using an adapted Cochrane Collaboration bias assessment tool. Results Of 1056 references that were screened, only 20 were selected for inclusion. Seven reported the incidence of T2DM in patients with HIV infection, eight reported the prevalence of T2DM in HIV-infected versus uninfected individuals and five reported prevalence of T2DM in HIV-treated versus untreated patients. Incidence rates ranged from 4 to 59 per 1000 person years. Meta-analysis showed no significant differences between T2DM prevalence in HIV-infected individuals versus uninfected individuals (risk ratio (RR) =1.61, 95% CI 0.62 to 4.21, p=0.33), or between HIV-treated patients versus untreated patients (RR=1.38, 95% CI 0.66 to 2.87, p=0.39), and heterogeneity was high in both meta-analyses (I2=87% and 52%, respectively). Conclusions Meta-analysis showed no association between T2DM prevalence and HIV infection or antiretroviral therapy; however, these results are limited by the high heterogeneity of the included studies and moderate-to-high risk of bias, as well as, the small number of studies included. There is a need for well-designed prospective longitudinal studies with larger population sizes to better assess incidence and prevalence of T2DM in African patients with HIV. Furthermore, screening for T2DM using gold standard methods in this population is necessary. Trial registration number PROSPERO42016038689.


BMC Public Health | 2016

Childhood adiposity trajectories are associated with late adolescent blood pressure: birth to twenty cohort

Richard J. Munthali; Juliana Kagura; Zané Lombard; Shane A. Norris

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Shane A. Norris

University of the Witwatersrand

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Juliana Kagura

University of the Witwatersrand

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Alessandra Prioreschi

University of the Witwatersrand

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Lisa K. Micklesfield

University of the Witwatersrand

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Liesl M. Hendry

University of the Witwatersrand

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Nigel J. Crowther

National Health Laboratory Service

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Rihlat Said-Mohamed

University of the Witwatersrand

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Zané Lombard

University of the Witwatersrand

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Alastair van Heerden

Human Sciences Research Council

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Ananyo Choudhury

University of the Witwatersrand

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