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Ward KA, Madanhire T, Marenah K, Micklesfield LK, Gregson CL. Disparities in fragility fracture and osteoporosis care in Africa. Lancet Diabetes Endocrinol 2024; 12:294-296. [PMID: 38527466 DOI: 10.1016/s2213-8587(24)00073-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 03/04/2024] [Indexed: 03/27/2024]
Affiliation(s)
- Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, UK; MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
| | - Tafadzwa Madanhire
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Kebba Marenah
- Department of Orthopaedics and Trauma, Edward Francis Small Teaching Hospital, Banjul, The Gambia
| | - Lisa K Micklesfield
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Celia L Gregson
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe; Musculoskeletal Research Unit, University of Bristol, Bristol, UK
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Westbury LD, Pearse C, Bevilacqua G, Fuggle NR, Ward KA, Cooper C, Dennison EM. Fracture Risk and Health Profiles Differ According to Relationship Status: Findings from the Hertfordshire Cohort Study. Calcif Tissue Int 2024; 114:461-467. [PMID: 38498182 PMCID: PMC11060979 DOI: 10.1007/s00223-024-01194-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 02/02/2024] [Indexed: 03/20/2024]
Abstract
Registry studies have suggested associations between relationship status and fracture risk. We considered associations between relationship status and incident fracture in the Hertfordshire Cohort Study, comprising community-dwelling older adults, and explored associations between socioeconomic and lifestyle factors with relationship status. 2997 participants completed a baseline questionnaire (1998-2004) and clinic visit. Participants were followed up until December 2018 using Hospital Episode Statistics, which report clinical outcomes using codes from the 10th revision of the International Classification of Diseases (ICD-10); these codes were used to ascertain incident fractures. Relationship status (not currently married/cohabiting vs currently married/cohabiting) at baseline was examined in relation to incident fracture using Cox regression. Associations between baseline characteristics and relationship status were examined using logistic regression. Mean baseline age was 66.2 years. 80% were married/cohabiting at baseline; 15% had an incident fracture (mean (SD) follow-up duration: 14.4 (4.5) years). The following were related to greater likelihood of not being married/cohabiting: older age (women only); higher BMI (women only); current smoking; high alcohol consumption (men only); poorer diet quality (men only); lower physical activity; leaving school before age 15 (women only); and not owning one's home. Those not married/cohabiting had greater risk of incident fracture compared to those who were (age-adjusted hazard ratios (95% CI) 1.58 (1.06, 2.38) among men, 1.35 (1.06, 1.72) among women); associations were attenuated after accounting for the above factors associated with relationship status in the corresponding sex. This suggests that differences in health profiles and lifestyle according to relationship status may explain the association between relationship status and fracture risk.
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Affiliation(s)
- Leo D Westbury
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Camille Pearse
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Gregorio Bevilacqua
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Nicholas R Fuggle
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- The Alan Turing Institute, London, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.
- Victoria University of Wellington, Wellington, New Zealand.
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Gregson CL, Rehman AM, Rukuni R, Mukwasi-Kahari C, Madanhire T, Kowo-Nyakoko F, Breasail MÓ, Jeena L, Mchugh G, Filteau S, Chipanga J, Simms V, Mujuru H, Ward KA, Ferrand RA. Perinatal HIV infection is associated with deficits in muscle function in children and adolescents in Zimbabwe. AIDS 2024; 38:853-863. [PMID: 37991523 DOI: 10.1097/qad.0000000000003795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
OBJECTIVES To determine how muscle strength, power, mass, and density (i.e. quality) differ between children living with HIV (CWH) and those uninfected, and whether antiretroviral therapy (ART) regime is associated with muscle quality. DESIGN A cross-sectional study in Harare, Zimbabwe. METHODS The study recruited CWH aged 8-16 years, taking ART for at least 2 years, from HIV clinics, and HIV-uninfected children from local schools. Muscle outcomes comprised grip strength measured by hand-held Jamar dynamometer, lower limb power measured by standing long-jump distance, lean mass measured by dual-energy X-ray absorptiometry, and muscle density (reflecting intramuscular fat) by peripheral quantitative computed tomography. Linear regression calculated adjusted mean differences (aMD) by HIV status. RESULTS Overall, 303 CWH and 306 without HIV, had mean (SD) age 12.5 (2.5) years, BMI 17.5 (2.8), with 50% girls. Height and fat mass were lower in CWH, mean differences (SE) 7.4 (1.1) cm and 2.7 (0.4)kgs, respectively. Male CWH had lower grip strength [aMD 2.5 (1.1-3.9) kg, P < 0.001], long-jump distance [7.1 (1.8-12.5) cm, P = 0.006], muscle density [0.58 (0.12-1.05) mg/cm 3 , P = 0.018, but not lean mass 0.06 (-1.08 to 1.21) kg, P = 0.891) versus boys without HIV; differences were consistent but smaller in girls. Mediation analysis suggested the negative effect of HIV on jumping power in boys was partially mediated by muscle density ( P = 0.032). CWH taking tenofovir disoproxil fumarate (TDF) had lower muscle density [0.56 (0.00-1.13)mg/cm 3 , P = 0.049] independent of fat mass, than CWH on other ART. CONCLUSION Perinatally acquired HIV is associated, particularly in male individuals, with reduced upper and lower limb muscle function, not mass. Intra-muscular fat (poorer muscle quality) partially explained reductions in lower limb function. TDF is a novel risk factor for impaired muscle quality.
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Affiliation(s)
- Celia L Gregson
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Andrea M Rehman
- MRC International Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health
| | - Ruramayi Rukuni
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe
- Clinical Research Department, Faculty of Infectious and Tropical Diseases
| | - Cynthia Mukwasi-Kahari
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
- Department of Radiology, College of Health Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Tafadzwa Madanhire
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe
- MRC International Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health
| | - Farirayi Kowo-Nyakoko
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe
- MRC Lifecourse Epidemiology Centre, Human Development and Health, University of Southampton, Southampton, UK
| | - Mícheál Ó Breasail
- Department of Medicine, School of Clinical Sciences, Faculty of Medicine, Monash Medical Centre, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
| | - Lisha Jeena
- Nuffield Department of Medicine, University of Oxford, Oxford
| | - Grace Mchugh
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Suzanne Filteau
- Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Joseph Chipanga
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Victoria Simms
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe
- MRC International Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health
| | - Hilda Mujuru
- Department of Paediatrics, University of Zimbabwe, Harare, Zimbabwe
| | - Kate A Ward
- Department of Radiology, College of Health Sciences, University of Zimbabwe, Harare, Zimbabwe
- MRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Rashida A Ferrand
- The Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe
- Clinical Research Department, Faculty of Infectious and Tropical Diseases
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Lu S, Fuggle NR, Westbury LD, Breasail MÓ, Bevilacqua G, Ward KA, Dennison EM, Mahmoodi S, Niranjan M, Cooper C. Corrigendum to "Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors" [Bone. 2023 Mar:168:116653]. Bone 2024; 182:117071. [PMID: 38490056 DOI: 10.1016/j.bone.2024.117071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Affiliation(s)
- Shengyu Lu
- Faculty of Engineering and Physical Sciences, Electronics and Computer Science, University of Southampton, UK
| | - Nicholas R Fuggle
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; The Alan Turing Institute, London, UK
| | - Leo D Westbury
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Mícheál Ó Breasail
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Gregorio Bevilacqua
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; Victoria University of Wellington, Wellington, New Zealand
| | - Sasan Mahmoodi
- Faculty of Engineering and Physical Sciences, Electronics and Computer Science, University of Southampton, UK
| | - Mahesan Niranjan
- Faculty of Engineering and Physical Sciences, Electronics and Computer Science, University of Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
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Bevilacqua G, Westbury LD, Bloom I, Zhang J, Lawrence WT, Barker ME, Ward KA, Dennison EM. General self-efficacy, not musculoskeletal health, was associated with social isolation and loneliness in older adults during the COVID-19 pandemic: findings from the Hertfordshire Cohort Study. Aging Clin Exp Res 2024; 36:20. [PMID: 38308733 PMCID: PMC10838234 DOI: 10.1007/s40520-023-02676-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 11/08/2023] [Indexed: 02/05/2024]
Abstract
BACKGROUND Social isolation and loneliness are prevalent among older adults. This study investigated factors influencing worsening social isolation and loneliness in community-dwelling older adults during the COVID-19 pandemic, focusing on musculoskeletal conditions, falls, and fractures. METHODS We studied 153 participants from the Hertfordshire Cohort Study. Baseline assessments (2019-20) included osteoporosis, clinical osteoarthritis, fractures after age 45 years, falls in previous year, and lifestyle factors. Self-efficacy was assessed using a shortened General Self-Efficacy Scale. Social isolation was assessed using the 6-item Lubben Social Network Scale. Follow-up (2020-21) assessments included social isolation and loneliness using the 6-item De Jong-Gierveld scale for emotional, social, and overall loneliness. RESULTS Baseline median age was 83.1 years. A history of smoking predicted worsening social isolation (p = 0.046). Being married (p = 0.026) and higher self-efficacy scores (p = 0.03) predicted reduced social isolation at follow-up. Greater alcohol consumption was associated with higher overall loneliness (p = 0.026). Being married was related to a 36% (95% CI: 3%, 58%) reduction in emotional loneliness (p = 0.037). No musculoskeletal condition was associated with social isolation or loneliness. However, we observed a 22% (14%, 30%; p < 0.001) reduction in emotional loneliness and a 12% (4%, 20%; p = 0.003) reduction in overall loneliness per unit increase in self-efficacy score. CONCLUSIONS No musculoskeletal condition was associated with increased social isolation or loneliness, but longitudinal studies in larger samples are required. Greater self-efficacy was associated with reduced social isolation and reduced loneliness. Interventions promoting self-efficacy in older adults may reduce isolation and loneliness in this age group.
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Affiliation(s)
- Gregorio Bevilacqua
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
| | - Leo D Westbury
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
| | - Ilse Bloom
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
| | - Jean Zhang
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
| | - Wendy T Lawrence
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
- National Institute for Health and Care Research (NIHR), Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, UK
| | - Mary E Barker
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
- National Institute for Health and Care Research (NIHR), Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, UK
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Kate A Ward
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Elaine M Dennison
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK.
- National Institute for Health and Care Research (NIHR), Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, UK.
- School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand.
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Watson D, Barker M, Boua PR, Chatio S, Compaoré A, Danis M, Dalaba M, Erzse A, Hardy-Johnson P, Kehoe SH, Hofman KJ, Lawrence WT, Nonterah EA, Sorgho H, Rwafa-Ponela T, Ward KA, Tugendhaft A. What works in engaging communities? Prioritising nutrition interventions in Burkina Faso, Ghana and South Africa. PLoS One 2023; 18:e0294410. [PMID: 38091334 PMCID: PMC10718458 DOI: 10.1371/journal.pone.0294410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/30/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND "Choosing All Together" (CHAT), is a community engagement tool designed to give the public a voice in how best to allocate limited resources to improve population health. This process evaluation explored the mechanisms through which CHAT generates community engagement. METHOD The CHAT tool was adapted and implemented for use in two rural communities (Nanoro, Burkina Faso, and Navrongo, Ghana) and one urban township (Soweto, South Africa) to prioritize maternal and child nutrition interventions. Community discussions were audio-recorded, transcribed, and translated into English. Twenty-two transcripts, including six each from Navrongo and Soweto and 10 from Nanoro, were analysed thematically to generate data driven codes and themes to explain mechanisms underlying the CHAT process. The process evaluation was based on the UK MRC process evaluation guidance. RESULTS Seven themes describing the functions and outcomes of CHAT were identified. Themes described participants deliberating trade-offs, working together, agreeing on priorities, having a shared vision, and increasing their knowledge, also the skills of the facilitator, and a process of power sharing between participants and researchers. Participants came to an agreement of priorities when they had a shared vision. Trained facilitators are important to facilitate meaningful discussion between participants and those with lower levels of literacy to participate fully. CONCLUSION CHAT has been shown to be adaptable and useful in prioritising maternal and child nutrition interventions in communities in Burkina Faso, Ghana, and South Africa. Conducting CHAT in communities over a longer period and involving policy-makers would increase trust, mutual respect and develop partnerships.
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Affiliation(s)
- Daniella Watson
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- SAMRC Developmental Pathways for Health Research Unit, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
- Department of Global Health and Social Medicine, King’s College London, London, United Kingdom
| | - Mary Barker
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- School of Health Sciences, Faculty of Environment and Life Sciences, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - P. Romuald Boua
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso
| | - Samuel Chatio
- Navrongo Health Research Centre, Ghana Health Service, Accra, Ghana
| | - Adelaide Compaoré
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso
| | - Marion Danis
- Department of Bioethics, National Institutes of Health, Bethesda, MD, United States of America
| | - Maxwell Dalaba
- Navrongo Health Research Centre, Ghana Health Service, Accra, Ghana
- Institute of Heath Research, University of Health and Allied Sciences, Ho, Ghana
| | - Agnes Erzse
- SAMRC/Wits Centre for Health Economics and Decision Science—PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Polly Hardy-Johnson
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Sarah H. Kehoe
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Karen J. Hofman
- SAMRC/Wits Centre for Health Economics and Decision Science—PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Wendy T. Lawrence
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- Primary Care, Population Science and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Engelbert A. Nonterah
- Navrongo Health Research Centre, Ghana Health Service, Accra, Ghana
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Hermann Sorgho
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso
| | - Teurai Rwafa-Ponela
- SAMRC/Wits Centre for Health Economics and Decision Science—PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Kate A. Ward
- School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Aviva Tugendhaft
- SAMRC/Wits Centre for Health Economics and Decision Science—PRICELESS SA, School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
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Rambukwella R, Westbury LD, Pearse C, Ward KA, Cooper C, Dennison EM. Hospital admissions and mortality over 20 years in community-dwelling older people: findings from the Hertfordshire Cohort Study. Aging Clin Exp Res 2023; 35:2751-2757. [PMID: 37704837 PMCID: PMC10628036 DOI: 10.1007/s40520-023-02554-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/25/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND Demographic changes worldwide are leading to pressures on health services, with hospital admissions representing an important contributor. Here, we report admission types experienced by older people and examine baseline risk factors for subsequent admission/death, from the community-based Hertfordshire Cohort Study. METHODS 2997 participants (1418 women) completed a baseline questionnaire and clinic visit to characterize their health. Participants were followed up from baseline (1998-2004, aged 59-73 years) until December 2018 using UK Hospital Episode Statistics and mortality data, which report clinical outcomes using ICD-10 coding. Baseline characteristics in relation to the risk of admission/death during follow-up were examined using sex-stratified univariate logistic regression. RESULTS During follow-up, 36% of men and 26% of women died and 93% of men and 92% of women had at least one hospital admission; 6% of men and 7% of women had no admissions and were alive at end of follow-up. The most common types of admission during follow-up were cardiovascular (ever experienced: men 71%, women 68%) and respiratory (men 40%, women 34%). In both sexes, baseline risk factors that were associated (p < 0.05) with admission/death during follow-up were older age, poorer SF-36 physical function, and poorer self-rated health. In men, manual social class and a history of smoking, and in women, higher BMI, not owning one's home, and a minor trauma fracture since age 45, were also risk factors for admission/death. CONCLUSIONS Sociodemographic factors were related to increased risk of admission/death but a small proportion experienced no admissions during this period, suggesting that healthy ageing is achievable.
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Affiliation(s)
- Roshan Rambukwella
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Leo D Westbury
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Camille Pearse
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
- Victoria University of Wellington, Wellington, New Zealand.
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Wijesooriya K, Larner JM, Read PW, Showalter TN, Lum L, Conaway M, Nguyen C, Lain D, Thakur A, Romano K, McLaughlin C, Jr EMJ, Luminais C, Wood S, Cousins DF, Chen J, Muller DA, Dutta SW, Nesbit EA, Ward KA, Sanders J, Chavis Y, Asare E. Initial Report of a Randomized Trial Comparing Conventional vs. Novel Treatment Planning Technique to Ameliorate Immunosuppression from Lung SBRT. Int J Radiat Oncol Biol Phys 2023; 117:e73-e74. [PMID: 37786124 DOI: 10.1016/j.ijrobp.2023.06.809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) SBRT is highly effective against early-stage non-small cell lung cancer. Radiation Therapy (RT) is known to modulate the immune system and contribute to the generation of anti-tumor T cells and stimulate T cell infiltration into tumors. However, this anti-tumor activity is offset by radiation-induced immunosuppression (RIIS) which results in lower tumor control and survival. Lymphocytes are highly radiosensitive and RIIS means destroying existing as well as newly created cytotoxic and helper T lymphocytes. We hypothesized that optimizing RT treatment planning by considering circulating blood and lymphatics as a critical Organ at Risk (OAR) may mitigate RIIS. MATERIALS/METHODS We conducted an IRB approved NCI funded clinical trial for 50 early-stage lung cancer patients treated with SBRT alone, from 2020 to 2023, to investigate the ability to reduce RIIS by reducing dose to circulating blood and lymphatics with the aid of a predictive algorithm. All SBRT plans adhered to treatment parameters from RTOG 0813 (central) or RTOG 0915 (peripheral). Patients were randomized to two arms: experimental optimization for RIIS (to reduce dose to blood and lymphatic rich organs) versus standard SBRT planning (without optimization for RIIS). Peripheral blood samples were collected at baseline, end of Tx, 4 weeks and 6 months post Tx. Patients with baseline absolute lymphocyte counts (ALC) less than 0.5x109 cells/L were ineligible for the trial. Data acquired for all blood cell types as well as lymphocyte sub populations CD3+, CD4+, CD8+, CD19+, CD56+. Two sample t-test was used to determine the statistical significance between the cohorts at the time points. RESULTS The standard arm had an ALC reduction of 28% at one week post Tx and a nadir at 4 weeks with a 34% reduction. Absolute percentage reductions in ALC from baseline in the optimized arm compared to the standard arm are: end of treatment point (13%, p = 0.03), 4 weeks (12%, p = 0.08), 6 months (15%, p = 0.1), and all three time points together 13% (p = 0.001). ALC recovery appears to be faster in the optimized arm. Radiation induced suppression of all blood cell types are also reduced in the optimized arm with respect to standard arm (relative percentages): ALC (34%), WBC (47%), RBC (46%), platelets (40%), monocytes (100%), and neutrophils (62%) at 4-week mark. Average percentage reductions on integral doses, and V5 (volume receiving a 5 Gy dose) of optimized compared to standard plans are: aorta: 26%, 41% heart: 8%, 33%, vena cava: 32%, 52%, T spine: 51%, 81%, lymph nodes: 35%, 57%, total lung- ITV: 1.6%, 1%, body: 10%, 14%. CONCLUSION For the first time, we have shown that it is possible to reduce RIIS in a statistically significant manner, compared to standard of care, via optimized RT planning using a predictive model. This has implications in increasing the efficacy of immunotherapy by preserving the existing tumor reactive T cells in the immune system to enhance anti-tumor activity, and in reducing hospitalizations and improving survival.
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Affiliation(s)
- K Wijesooriya
- Department of Radiation Oncology, University of Virginia, Charlottesville, VA
| | - J M Larner
- Department of Radiation Oncology, University of Virginia, Charlottesville, VA
| | - P W Read
- University of Virginia, Charlottesville, VA
| | - T N Showalter
- Department of Radiation Oncology, University of Virginia, Charlottesville, VA; University of Virginia, Charlottesville, VA
| | - L Lum
- University of Virginia, Charlottesville, VA
| | - M Conaway
- University of Virginia, Charlottesville, VA
| | - C Nguyen
- University of Virginia, Charlottesville, VA
| | - D Lain
- University of Virginia, Charlottesville, VA, United States
| | - A Thakur
- University of Virginia, Charlottesville, VA
| | - K Romano
- Department of Radiation Oncology, University of Virginia, Charlottesville, VA
| | - C McLaughlin
- University of Virginia, Department of Radiation Oncology, Charlottesville, VA
| | - E M Janowski Jr
- University of Virginia Department of Radiation Oncology, Charlottesville, VA
| | - C Luminais
- Department of Radiation Oncology, University of Virginia, Charlottesville, VA
| | - S Wood
- University of Virginia, Charlottesville, VA
| | - D F Cousins
- Department of Radiation Oncology, University of Virginia, Charlottesville, VA
| | - J Chen
- University of Virginia, Charlottesville, VA
| | - D A Muller
- Department of Radiation Oncology, University of Virginia, Charlottesville, VA
| | - S W Dutta
- Department of Radiation Oncology, Emory University, Atlanta, GA
| | - E A Nesbit
- University of Virginia Department of Radiation Oncology, Charlottesville, VA
| | - K A Ward
- Department of Radiation Oncology, University of Virginia, Charlottesville, VA
| | - J Sanders
- University of Virginia Department of Radiation Oncology, Charlottesville, VA
| | - Y Chavis
- University of Virginia Health Systems, Charlottesville, VA, United States
| | - E Asare
- University of Virginia Department of Radiation Oncology, Charlottesville, VA
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9
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Issarapu P, Arumalla M, Elliott HR, Nongmaithem SS, Sankareswaran A, Betts M, Sajjadi S, Kessler NJ, Bayyana S, Mansuri SR, Derakhshan M, Krishnaveni GV, Shrestha S, Kumaran K, Di Gravio C, Sahariah SA, Sanderson E, Relton CL, Ward KA, Moore SE, Prentice AM, Lillycrop KA, Fall CHD, Silver MJ, Chandak GR. DNA methylation at the suppressor of cytokine signaling 3 (SOCS3) gene influences height in childhood. Nat Commun 2023; 14:5200. [PMID: 37626025 PMCID: PMC10457295 DOI: 10.1038/s41467-023-40607-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 08/01/2023] [Indexed: 08/27/2023] Open
Abstract
Human height is strongly influenced by genetics but the contribution of modifiable epigenetic factors is under-explored, particularly in low and middle-income countries (LMIC). We investigate links between blood DNA methylation and child height in four LMIC cohorts (n = 1927) and identify a robust association at three CpGs in the suppressor of cytokine signaling 3 (SOCS3) gene which replicates in a high-income country cohort (n = 879). SOCS3 methylation (SOCS3m)-height associations are independent of genetic effects. Mendelian randomization analysis confirms a causal effect of SOCS3m on height. In longitudinal analysis, SOCS3m explains a maximum 9.5% of height variance in mid-childhood while the variance explained by height polygenic risk score increases from birth to 21 years. Children's SOCS3m is associated with prenatal maternal folate and socio-economic status. In-vitro characterization confirms a regulatory effect of SOCS3m on gene expression. Our findings suggest epigenetic modifications may play an important role in driving child height in LMIC.
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Affiliation(s)
- Prachand Issarapu
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - Manisha Arumalla
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
| | - Hannah R Elliott
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Suraj S Nongmaithem
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
| | - Alagu Sankareswaran
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
- Academy of Scientific and Innovative Research, AcSIR, Ghaziabad, India
| | - Modupeh Betts
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - Sara Sajjadi
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
- Academy of Scientific and Innovative Research, AcSIR, Ghaziabad, India
| | - Noah J Kessler
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Swati Bayyana
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
- Academy of Scientific and Innovative Research, AcSIR, Ghaziabad, India
| | - Sohail R Mansuri
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
- Academy of Scientific and Innovative Research, AcSIR, Ghaziabad, India
| | - Maria Derakhshan
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - G V Krishnaveni
- Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, Karnataka, India
| | - Smeeta Shrestha
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
| | - Kalyanaraman Kumaran
- Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, Karnataka, India
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Chiara Di Gravio
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Eleanor Sanderson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate A Ward
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
- Department of Women & Children's Health, King's College London, London, UK
| | - Sophie E Moore
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
- Department of Women & Children's Health, King's College London, London, UK
| | - Andrew M Prentice
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - Karen A Lillycrop
- School of Medicine, University of Southampton, Southampton, UK
- Biological Sciences, University of Southampton, Southampton, UK
| | - Caroline H D Fall
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Matt J Silver
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK.
| | - Giriraj R Chandak
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India.
- Academy of Scientific and Innovative Research, AcSIR, Ghaziabad, India.
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10
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Ward KA, Pearse CM, Madanhire T, Wade AN, Fabian J, Micklesfield LK, Gregson CL. Disparities in the Prevalence of Osteoporosis and Osteopenia in Men and Women Living in Sub-Saharan Africa, the UK, and the USA. Curr Osteoporos Rep 2023; 21:360-371. [PMID: 37351757 PMCID: PMC10393839 DOI: 10.1007/s11914-023-00801-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/04/2023] [Indexed: 06/24/2023]
Abstract
PURPOSE To review the rising prevalence of osteopenia and osteoporosis in sub-Saharan Africa and the challenges this poses to governments and healthcare services. Using existing studies, we compare the prevalence of osteopenia and osteoporosis in men and women from sub-Saharan Africa to US and UK cohorts. Context-specific disparities in healthcare are discussed particularly the challenges in diagnosis and treatment of osteoporosis. RECENT FINDINGS There are few epidemiological data describing the burden of osteoporosis in sub-Saharan Africa. In the studies and cohorts presented here, osteoporosis prevalence varies by sex, country and area of residence, but is generally higher in African populations, than has previously been appreciated. Risk factors contributing to poorer bone health include HIV, malnutrition and "inflammaging." Reprioritization towards care of ageing populations is urgently required. Equitable access to implementable preventative strategies, diagnostic services, treatments and pathways of care for bone health (for example embedded within HIV services) need now to be recognized and addressed by policy makers.
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Affiliation(s)
- Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD, UK.
- MRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
| | - Camille M Pearse
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD, UK
| | - Tafadzwa Madanhire
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- The Health Research Unit Zimbabwe, Biomedical Research & Training Institute, Harare, Zimbabwe
| | - Alisha N Wade
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - June Fabian
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lisa K Micklesfield
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Celia L Gregson
- The Health Research Unit Zimbabwe, Biomedical Research & Training Institute, Harare, Zimbabwe
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK
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11
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Erzse A, Rwafa-Ponela T, Goldstein S, Motlhatlhedi M, Watson D, Hofman KJ, Danis M, Norris SA, Ward KA, Tugendhaft A. What values drive communities' nutrition priorities in a resource constrained urban area in South Africa? BMC Public Health 2023; 23:873. [PMID: 37170249 PMCID: PMC10175056 DOI: 10.1186/s12889-023-15761-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 04/26/2023] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND Voices of under-resourced communities are recognised as important yet are often unheard in decisions about healthcare resource allocation. Deliberative public engagement can serve as an effective mechanism for involving communities in establishing nutrition priorities. This study sought to identify the priorities of community members of a South African township, Soweto, and describe the underlying values driving their prioritisation process, to improve nutrition in the first 1000 days of life. METHODS We engaged 54 community members (28 men and 26 women aged > 18 years) from Soweto. We conducted seven group discussions to determine how to allocate limited resources for prioritising nutrition interventions. We used a modified public engagement tool: CHAT (Choosing All Together) which presented 14 nutrition intervention options and their respective costs. Participants deliberated and collectively determined their nutritional priorities. Choices were captured quantitatively, while group discussions were audio-recorded. A thematic analysis was undertaken to identify the reasons and values associated with the selected priorities. RESULTS All groups demonstrated a preference to allocate scarce resources towards three priority interventions-school breakfast provisioning, six-months paid maternity leave, and improved food safety. All but one group selected community gardens and clubs, and five groups prioritised decreasing the price of healthy food and receiving job search assistance. Participants' allocative decisions were guided by several values implicit in their choices, such as fairness and equity, efficiency, social justice, financial resilience, relational solidarity, and human development, with a strong focus on children. Priority interventions were deemed critical to supporting children's optimal development and well-being, interrupting the intergenerational cycle of poverty and poor human development in the community. CONCLUSION Our study demonstrates how public engagement can facilitate the incorporation of community values and programmatic preferences into nutrition priority setting, enabling a responsive approach to local community needs, especially in resource constrained contexts. Findings could guide policy makers to facilitate more appropriate decisions and to improve nutrition in the first 1000 days of life.
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Affiliation(s)
- Agnes Erzse
- SAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa.
| | - Teurai Rwafa-Ponela
- SAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa
| | - Susan Goldstein
- SAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa
| | - Molebogeng Motlhatlhedi
- SAMRC/ Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Daniella Watson
- Global Health Research Institute, School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Karen J Hofman
- SAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa
| | - Marion Danis
- Department of Bioethics, National Institutes of Health, Bethesda, MD, USA
| | - Shane A Norris
- SAMRC/ Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Kate A Ward
- SAMRC/ Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
- Global Health Research Institute, School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Aviva Tugendhaft
- SAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, South Africa
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12
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Ireland A, Riddell A, Colombo A, Ross-Russell R, Prentice A, Ward KA. Development of musculoskeletal deficits in children with cystic fibrosis in later childhood. Bone 2023; 170:116657. [PMID: 36690166 DOI: 10.1016/j.bone.2022.116657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 12/08/2022] [Accepted: 12/23/2022] [Indexed: 01/21/2023]
Abstract
Cystic fibrosis (CF) is a genetic condition primarily affecting the respiratory system, with the associated progressive lung damage and loss of function resulting in reduced lifespan. Bone health is also impaired in individuals with CF, leading to much higher fracture risk even in adolescence. However, the development of these deficits during growth and the relative contributions of puberty, body size and muscular loading remain somewhat unexplored. We therefore recruited 25 children with CF (10 girls, mean age 11.3 ± 2.9y) and 147 children without CF (75 girls, mean age 12.4 ± 2.6y). Bone characteristics were assessed using peripheral quantitative computed tomography (pQCT) at 4 % and 66 % distal-proximal tibia. Muscle cross-sectional area (CSA) and density (an indicator of muscle quality) were also assessed at the latter site. Tibial bone microstructure was assessed using high-resolution pQCT (HR-pQCT) at 8 % distal-proximal tibial length. In addition, peak jump power and hop force were measured using jumping mechanography. Group-by-age interactions and group differences in bone and muscle characteristics were examined using multiple linear regression, adjusted for age, sex and pubertal status and in additional models, height and muscle force. In initial models group-by-age interactions were evident for distal tibial total bone mineral content (BMC) and trabecular volumetric bone mineral density (vBMD), with a lower rate of age-related accrual evident in children with CF. In assessments of distal tibial microstructure, similar patterns were observed for trabecular number and thickness, and cortical CSA. In the tibial shaft, group-by-age interactions indicating slower growth in CF were evident for total BMC and cortical CSA, whilst age-independent deficits in CF were observed for several other variables. Peak jump power and hop force also exhibited similar interactions. Group-by-age interactions for bone were partially attenuated at the distal tibia and fully attenuated at the tibial shaft by adjustment for muscle force. These results suggest that bone and muscle deficits in children with CF develop throughout later childhood, independent of differences in pubertal stage and body size. These diverging growth patterns appear to be mediated by differences in muscle function, particularly for bone characteristics in the tibial shaft. Given the high fracture risk in this population from childhood onwards, development of interventions to improve bone health would be of substantial clinical value.
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Affiliation(s)
- Alex Ireland
- Musculoskeletal Science and Sports Medicine Research Centre, Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
| | - Amy Riddell
- Institute for Infection and Immunity, Paediatric Infectious Diseases Research Group, St. George's University of London, UK; Previously at MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK
| | - Antony Colombo
- Musculoskeletal Science and Sports Medicine Research Centre, Department of Life Sciences, Manchester Metropolitan University, Manchester, UK; UMR 5199 PACEA, EPHE-PSL University, Pessac, France; Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy; Department of Anthropology, Pennsylvania State University, PA, USA
| | - Robert Ross-Russell
- Department of Paediatric Respiratory Medicine, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Ann Prentice
- Previously at MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK; MRC Nutrition and Bone Health Group, Cambridge, UK
| | - Kate A Ward
- MRC Nutrition and Bone Health Group, Cambridge, UK.
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13
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Madanhire T, Goedecke JH, Ward KA, Jaff N, Crowther NJ, Norris S, Ferrand RA, Rehman AM, Micklesfield LK, Gregson CL. The Impact of Human Immunodeficiency Virus and Menopause on Bone Mineral Density: A Longitudinal Study of Urban-Dwelling South African Women. J Bone Miner Res 2023; 38:619-630. [PMID: 36726211 PMCID: PMC10946789 DOI: 10.1002/jbmr.4765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 12/01/2022] [Accepted: 12/29/2022] [Indexed: 02/03/2023]
Abstract
An estimated 25% of South African women live with human immunodeficiency virus (HIV). Antiretroviral therapy roll-out has improved life expectancy, so many more women now reach menopause. We aimed to quantify changes in bone mineral density (BMD) during the menopausal transition in urban-dwelling South African women with and without HIV and determine whether HIV infection modified the effect of menopause on BMD changes. A 5-year population-based longitudinal study recruited women aged 40-60 years residing in Soweto and collected demographic and clinical data, including HIV status, anthropometry, and BMD, at baseline and at 5-year follow-up. All women were staged as pre-, peri-, or postmenopausal at both time points. Multivariable linear regression assessed relationships and interactions between HIV infection, menopause, and change in BMD. At baseline, 450 women had mean age 49.5 (SD 5.7) years, 65 (14.4%) had HIV, and 140 (31.1%), 119 (26.4%), and 191 (42.4%) were pre-, peri-, and postmenopausal, respectively; 34/205 (13.6%) women ≥50 years had a total hip (TH) or lumbar spine (LS) T-score ≤ -2.5. At follow-up 38 (8.4%), 84 (18.7%), and 328 (72.9%) were pre-, peri-, and postmenopausal. Those with HIV at baseline lost more total body (TB) BMD (mean difference -0.013 [95% confidence interval -0.026, -0.001] g/cm2 , p = 0.040) and gained more weight 1.96 [0.32, 3.60] kg; p = 0.019 than HIV-uninfected women. After adjusting for age, baseline weight, weight change, and follow-up time, the transition from pre- to postmenopause was associated with greater TB BMD losses in women with HIV (-0.092 [-0.042, -0.142] g/cm2 ; p = 0.001) than without HIV (-0.038 [-0.016, -0.060] g/cm2 , p = 0.001; interaction p = 0.034). Similarly, in women who were postmenopausal at both time points, those with HIV lost more TB BMD (-0.070 [-0.031, -0.108], p = 0.001) than women without HIV (-0.036 [-0.015, -0.057], p = 0.001, interaction p = 0.049). Findings were consistent but weaker at the LS and TH. Menopause-related bone loss is greater in women with HIV, suggesting women with HIV may be at greater risk of osteoporotic fractures. HIV services should consider routine bone health assessment in midlife women as part of long-term HIV care delivery. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Tafadzwa Madanhire
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
- Biomedical Research and Training InstituteHarareZimbabwe
- MRC International Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population HealthLondon School of Hygiene and Tropical MedicineLondonUK
| | - Julia H. Goedecke
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
- Non‐Communicable Diseases Research UnitSouth African Medical Research CouncilCape TownSouth Africa
| | - Kate A. Ward
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
- MRC Lifecourse Epidemiology Centre, School of Human Development and HealthUniversity of SouthamptonSouthamptonUK
| | - Nicole Jaff
- Department of Chemical Pathology, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Nigel J. Crowther
- Department of Chemical Pathology, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
- Department of Chemical PathologyNational Health Laboratory ServiceJohannesburgSouth Africa
| | - Shane Norris
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
- Global Health Research Institute, School of Human Development and HealthUniversity of SouthamptonSouthamptonUK
| | - Rashida A. Ferrand
- Biomedical Research and Training InstituteHarareZimbabwe
- Clinical Research Department, Faculty of Infectious and Tropical DiseasesLondon School of Hygiene and Tropical MedicineLondonUK
| | - Andrea M. Rehman
- MRC International Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population HealthLondon School of Hygiene and Tropical MedicineLondonUK
| | - Lisa K. Micklesfield
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
| | - Celia L. Gregson
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health SciencesUniversity of the WitwatersrandJohannesburgSouth Africa
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
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14
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Kowo-Nyakoko F, Gregson CL, Madanhire T, Stranix-Chibanda L, Rukuni R, Offiah AC, Micklesfield LK, Cooper C, Ferrand RA, Rehman AM, Ward KA. Evaluation of two methods of bone age assessment in peripubertal children in Zimbabwe. Bone 2023; 170:116725. [PMID: 36871897 DOI: 10.1016/j.bone.2023.116725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 01/27/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023]
Abstract
OBJECTIVES Bone age (BA) measurement in children is used to evaluate skeletal maturity and helps in the diagnosis of growth disorders in children. The two most used methods are Greulich and Pyle (GP), and Tanner and Whitehouse 3 (TW3), both based upon assessment of a hand-wrist radiograph. To our knowledge no study has compared and validated the two methods in sub-Saharan Africa (SSA), and only a few have determined BA despite it being a region where skeletal maturity is often impaired for example by HIV and malnutrition. This study aimed to compare BA as measured by two methods (GP and TW3) against chronological age (CA) and determine which method is most applicable in peripubertal children in Zimbabwe. METHODS We conducted a cross-sectional study of boys and girls who tested negative for HIV. Children and adolescents were recruited by stratified random sampling from six schools in Harare, Zimbabwe. Non-dominant hand-wrist radiographs were taken, and BA assessed manually using both GP and TW3. Paired sample Student t-tests were used to calculate the mean differences between BA and chronological age (CA) in boys and girls. Bland-Altman plots compared CA to BA as determined by both methods, and agreement between GP and TW3 BA. All radiographs were graded by a second radiographer and 20 % of participants of each sex were randomly selected and re-graded by the first observer. Intraclass correlation coefficient assessed intra- and inter-rater reliability and coefficient of variation assessed precision. RESULTS We recruited 252 children (111 [44 %] girls) aged 8.0-16.5 years. The boys and girls were of similar mean ± SD CA (12.2 ± 2.4 and 11.7 ± 1.9 years) and BA whether assessed by GP (11.5 ± 2.8 and 11.5 ± 2.1 years) or TW3 (11.8 ± 2.5 and 11.8 ± 2.1 years). In boys BA was lower than CA by 0.76 years (95 % CI: -0.95, -0.57) when using GP, and by 0.43 years (95 % CI: -0.61, -0.24) when using TW3. Among the girls there was no difference between BA and CA by either GP [-0.19 years (95 % CI: -0.40, 0.03)] or TW3 [0.07 years (95 % CI: -0.16, 0.29)]. In both boys and girls, there were no systematic differences between CA and TW3 BA across age groups whereas agreement improved between CA and GP BA as children got older. Inter-operator precision was 1.5 % for TW3 and 3.7 % for GP (n = 252) and intra-operator precision was 1.5 % for TW3 and 2.4 % for GP (n = 52). CONCLUSION The TW3 BA method had better precision than GP and did not systematically differ from CA, meaning that TW3 is the preferred method of assessment of skeletal maturity in Zimbabwean children and adolescents. TW3 and GP methods do not agree for estimates of BA and therefore cannot be used interchangeably. The systematic differences in GP BA assessments over age means it is not appropriate for use in all age groups or stages of maturity in this population.
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Affiliation(s)
- Farirayi Kowo-Nyakoko
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, SO16 6YD Southampton, UK; Biomedical Research and Training Institute, 10 Seagrave Road, Avondale Harare, Zimbabwe; Department of Medical Physics and Imaging Sciences, University of Zimbabwe- Faculty of Medicine and Health Sciences, Parirenyatwa Group of Hospitals, Mazowe Street, Harare, Zimbabwe.
| | - Celia L Gregson
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Southmead Hospital, Bristol BS10 5NB, UK; SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Tafadzwa Madanhire
- Biomedical Research and Training Institute, 10 Seagrave Road, Avondale Harare, Zimbabwe
| | - Lynda Stranix-Chibanda
- Child and Adolescent Unit, University of Zimbabwe-Faculty of Medicine and Health Sciences, Parirenyatwa Group of Hospitals, Mazowe Street, Harare, Zimbabwe
| | - Ruramayi Rukuni
- Biomedical Research and Training Institute, 10 Seagrave Road, Avondale Harare, Zimbabwe; Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Amaka C Offiah
- Department of Oncology & Metabolism, University of Sheffield, Damer Street Building, Sheffield Children's NHS Foundation Trust, Western Bank, Sheffield S10 2TH, UK
| | - Lisa K Micklesfield
- SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, SO16 6YD Southampton, UK
| | - Rashida A Ferrand
- Biomedical Research and Training Institute, 10 Seagrave Road, Avondale Harare, Zimbabwe; Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Andrea M Rehman
- MRC International Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, SO16 6YD Southampton, UK; SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
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15
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Watson D, Mushamiri P, Beeri P, Rouamba T, Jenner S, Proebstl S, Kehoe SH, Ward KA, Barker M, Lawrence W. Behaviour change interventions improve maternal and child nutrition in sub-Saharan Africa: A systematic review. PLOS Glob Public Health 2023; 3:e0000401. [PMID: 36996036 PMCID: PMC10062616 DOI: 10.1371/journal.pgph.0000401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 02/28/2023] [Indexed: 03/31/2023]
Abstract
Evidence that nutrition-specific and nutrition-sensitive interventions can improve maternal and child nutrition status in sub-Saharan Africa is inconclusive. Using behaviour change theory and techniques in intervention design may increase effectiveness and make outcomes more predictable. This systematic review aimed to determine whether interventions that included behaviour change functions were effective. Six databases were searched systematically, using MeSH and free-text terms, for articles describing nutrition-specific and nutrition-sensitive behaviour change interventions published in English until January 2022. Titles, abstracts and full-text papers were double-screened. Data extraction and quality assessments followed Centre for Reviews and Dissemination guidelines. Behaviour change functions of interventions were mapped onto the COM-B model and Behaviour Change Wheel. PROSPERO registered (135054). The search yielded 1193 articles: 79 articles met inclusion criteria, ranging from low (n = 30) to high (n = 11) risk of bias. Many that applied behaviour change theory, communication or counselling resulted in significant improvements in infant stunting and wasting, household dietary intake and maternal psychosocial measures. Interventions with >2 behaviour change functions (including persuasion, incentivisation, environmental restructuring) were the most effective. We recommend incorporating behaviour change functions in nutrition interventions to improve maternal and child outcomes, specifically drawing on the Behaviour Change Wheel, COM-B model (SORT B recommendation). To enhance the designs of these interventions, and ultimately improve the nutritional and psychosocial outcomes for mothers and infants in sub-Saharan Africa, collaborations are recommended between behaviour change and nutrition experts, intervention designers, policy makers and commissioners to fund and roll-out multicomponent behaviour change interventions.
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Affiliation(s)
- Daniella Watson
- Global Health Research Institute, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- Department of Global Health and Social Medicine, King's College London, London, United Kingdom
- SAMRC Developmental Pathways for Health Research Unit, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Patience Mushamiri
- SAMRC Centre for Health Economics and Decision Science, PRICELESS, University of the Witwatersrand, School of Public Health, Faculty of Health Sciences, Johannesburg, South Africa
| | - Paula Beeri
- Navrongo Health Research Centre, Ghana Health Service, Accra, Ghana
| | - Toussaint Rouamba
- Clinical Research Unit of Nanoro, Institute for Research in Health Sciences, National Center for Scientific and Technological Research, Ouagadougou, Burkina Faso
| | - Sarah Jenner
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Simone Proebstl
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- Institute for Medical Information Processing, Biometry, and Epidemiology-IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Sarah H Kehoe
- Global Health Research Institute, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Kate A Ward
- Global Health Research Institute, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Mary Barker
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- NIHR Southampton Biomedical Research Centre, University Hospitals Southampton NHS Foundation Trust, Cambridge, United Kingdom
- School of Health Sciences, Faculty of Life and Environmental Sciences, University of Southampton, Southampton, United Kingdom
| | - Wendy Lawrence
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University Hospitals Southampton NHS Foundation Trust, Cambridge, United Kingdom
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16
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Ó Breasail M, Janha R, Zengin A, Pearse C, Jarjou L, Prentice A, Ward KA. Cross-Calibration of iDXA and pQCT Scanners at Rural and Urban Research Sites in The Gambia, West Africa. Calcif Tissue Int 2023; 112:573-583. [PMID: 36859609 PMCID: PMC9977475 DOI: 10.1007/s00223-023-01071-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 02/07/2023] [Indexed: 03/03/2023]
Abstract
Between-scanner differences in measures of bone and body composition can obscure or exaggerate physiological differences in multi-site studies or the magnitude of changes in longitudinal studies. We conducted a cross-calibration study at two bone imaging centres in The Gambia, West Africa where DXA (dual-energy X-ray absorptiometry) and pQCT (peripheral Quantitative-Computed Tomography) are routinely used. Repeat scans were obtained from 64 Gambian adults (58% Male) aged Mean(SD) 30.9 (13.5) years with Mean(SD) body mass index (BMI) 21.7 (4.0) kg/m2, using DXA (GE Lunar iDXA, whole body [WB], total hip [TH], lumbar spine [LS]) and pQCT (Stratec XCT2000L/XCT2000, tibia 4%, 50% sites). Between-scanner differences were tested using paired t tests (p < 0.05). Between-scanner correlation was explored with linear regression, and cross-calibration equations derived. Bland-Altman analysis investigated machine trend/bias. When differences were detected (p < 0.05), cross-calibration equations were applied to urban values, with t tests and Bland Altman analysis repeated. Between-scanner differences exceeded the predefined level of statistical significance (p < 0.05) for WB aBMD and BA; all pQCT measures vBMD, BMC, cortical cross-sectional area (CSA) and stress-strain index (SSI). Between-scanner correlation was high (R2:0.92-0.99), except pQCT Mu.Den (R2 = 0.51). Bland Altman plots indicated bias increased with increasing BMD. Cross-calibration equations attenuated all between-scanner differences and systematic bias. Cross-calibration, particularly of pQCT scanners, is an important consideration in multi-site studies particularly where between population comparisons are intended. Our experiences and findings may be generalisable to other resource-limited settings where the logistics of sourcing parts and in-country repair may result in lengthy scanner downtime.
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Affiliation(s)
- Mícheál Ó Breasail
- Population Health Sciences, Bristol Medical School, University of Bristol, 1-5 Whiteladies Road, Bristol, BS8 1NU, UK.
- MRC Nutrition and Bone Health Research Group, Clifford Allbutt Building, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 OAH, UK.
| | - Ramatoulie Janha
- MRC Unit The Gambia at London, School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Ayse Zengin
- Department of Medicine, School of Clinical Sciences, Faculty of Medicine, Monash Medical Centre, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
| | - Camille Pearse
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
| | - Landing Jarjou
- MRC Unit The Gambia at London, School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Ann Prentice
- MRC Nutrition and Bone Health Research Group, Clifford Allbutt Building, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 OAH, UK
- MRC Unit The Gambia at London, School of Hygiene and Tropical Medicine, Banjul, Gambia
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Kate A Ward
- MRC Nutrition and Bone Health Research Group, Clifford Allbutt Building, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 OAH, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
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17
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Bevilacqua G, Westbury LD, Bloom I, Zhang J, Ward KA, Cooper C, Dennison EM. Investigating the relationship between self-perception of fracture risk and prior fracture: findings from the Hertfordshire Cohort Study. Aging Clin Exp Res 2023; 35:599-606. [PMID: 36529804 PMCID: PMC9760539 DOI: 10.1007/s40520-022-02322-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Self-perceived risk of fracture (SPR) is associated with fracture independent of FRAX calculated risk. To understand this better we considered whether lifestyle factors not included in the FRAX algorithm and psychosocial factors (social isolation, self-efficacy, or mental health status) explain the relationship between SPR and fracture. METHODS We studied 146 UK community-dwelling older adults from the Hertfordshire Cohort Study. SPR ranked as 'lower', 'similar' and 'higher' relative to others of the same age, was assessed by questionnaire. Social isolation was assessed using the six-item Lubben Social Network Scale; self-efficacy was assessed using a shortened General Self-Efficacy Scale (GSE); mental health status was assessed using the anxiety/depression item from the EuroQoL questionnaire. SPR in relation to previous self-reported fracture was examined using logistic regression. RESULTS Among participants of median age 83.4 (IQR 81.5-85.5) years, SPR was lower for 54.1% of participants, similar for 30.8%, and higher for 15.1%; 74.7% reported no previous fractures. Greater SPR was associated with increased odds of previous fractures when adjusting for sex and age only (OR 1.72, 95% CI 1.03-2.87, per higher band of SPR). While further individual adjustment for social isolation (1.73, 1.04-2.89), self-efficacy (1.71, 1.02-2.85), or mental health (1.77, 1.06-2.97) did not attenuate the relationship, individual adjustment for diet quality and number of comorbidities did. CONCLUSIONS Adjustment for social isolation, self-efficacy or mental health status did not attenuate the relationship between SPR and fracture. By contrast, lifestyle factors not included in FRAX, such as diet quality, did attenuate relationships, suggesting a possible future area of investigation.
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Affiliation(s)
- Gregorio Bevilacqua
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Leo D Westbury
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Ilse Bloom
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- National Institute for Health and Care Research (NIHR), Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, UK
| | - Jean Zhang
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- National Institute for Health and Care Research (NIHR), Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, UK
| | - Kate A Ward
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Cyrus Cooper
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- National Institute for Health and Care Research (NIHR), Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, UK
- National Institute for Health and Care Research (NIHR), Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Elaine M Dennison
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK.
- National Institute for Health and Care Research (NIHR), Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, UK.
- School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand.
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18
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Lu S, Fuggle NR, Westbury LD, Ó Breasail M, Bevilacqua G, Ward KA, Dennison EM, Mahmoodi S, Niranjan M, Cooper C. Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors. Bone 2023; 168:116653. [PMID: 36581259 DOI: 10.1016/j.bone.2022.116653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 12/16/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND Traditional analysis of High Resolution peripheral Quantitative Computed Tomography (HR-pQCT) images results in a multitude of cortical and trabecular parameters which would be potentially cumbersome to interpret for clinicians compared to user-friendly tools utilising clinical parameters. A computer vision approach (by which the entire scan is 'read' by a computer algorithm) to ascertain fracture risk, would be far simpler. We therefore investigated whether a computer vision and machine learning technique could improve upon selected clinical parameters in assessing fracture risk. METHODS Participants of the Hertfordshire Cohort Study (HCS) attended research visits at which height and weight were measured; fracture history was determined via self-report and vertebral fracture assessment. Bone microarchitecture was assessed via HR-pQCT scans of the non-dominant distal tibia (Scanco XtremeCT), and bone mineral density measurement and lateral vertebral assessment were performed using dual-energy X-ray absorptiometry (DXA) (Lunar Prodigy Advanced). Images were cropped, pre-processed and texture analysis was performed using a three-dimensional local binary pattern method. These image data, together with age, sex, height, weight, BMI, dietary calcium and femoral neck BMD, were used in a random-forest classification algorithm. Receiver operating characteristic (ROC) analysis was used to compare fracture risk identification methods. RESULTS Overall, 180 males and 165 females were included in this study with a mean age of approximately 76 years and 97 (28 %) participants had sustained a previous fracture. Using clinical risk factors alone resulted in an area under the curve (AUC) of 0.70 (95 % CI: 0.56-0.84), which improved to 0.71 (0.57-0.85) with the addition of DXA-measured BMD. The addition of HR-pQCT image data to the machine learning classifier with clinical risk factors and DXA-measured BMD as inputs led to an improved AUC of 0.90 (0.83-0.96) with a sensitivity of 0.83 and specificity of 0.74. CONCLUSION These results suggest that using a three-dimensional computer vision method to HR-pQCT scanning may enhance the identification of those at risk of fracture beyond that afforded by clinical risk factors and DXA-measured BMD. This approach has the potential to make the information offered by HR-pQCT more accessible (and therefore) applicable to healthcare professionals in the clinic if the technology becomes more widely available.
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Affiliation(s)
- Shengyu Lu
- Faculty of Engineering and Physical Sciences, Electronics and Computer Science, University of Southampton, UK.
| | - Nicholas R Fuggle
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; The Alan Turing Institute, London, UK.
| | - Leo D Westbury
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.
| | - Mícheál Ó Breasail
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Gregorio Bevilacqua
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; Victoria University of Wellington, Wellington, New Zealand.
| | - Sasan Mahmoodi
- Faculty of Engineering and Physical Sciences, Electronics and Computer Science, University of Southampton, UK.
| | - Mahesan Niranjan
- Faculty of Engineering and Physical Sciences, Electronics and Computer Science, University of Southampton, UK.
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
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19
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Mukwasi-Kahari C, Rehman AM, Ó Breasail M, Rukuni R, Madanhire T, Chipanga J, Stranix-Chibanda L, Micklesfield LK, Ferrand RA, Ward KA, Gregson CL. Impaired Bone Architecture in Peripubertal Children With HIV, Despite Treatment With Antiretroviral Therapy: A Cross-Sectional Study From Zimbabwe. J Bone Miner Res 2023; 38:248-260. [PMID: 36426511 PMCID: PMC9996028 DOI: 10.1002/jbmr.4752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 11/08/2022] [Accepted: 11/21/2022] [Indexed: 11/27/2022]
Abstract
HIV infection has multi-system adverse effects in children, including on the growing skeleton. We aimed to determine the association between chronic HIV infection and bone architecture (density, size, strength) in peripubertal children. We conducted a cross-sectional study of children aged 8 to 16 years with HIV (CWH) on antiretroviral therapy (ART) and children without HIV (CWOH) recruited from schools and frequency-matched for age strata and sex. Outcomes, measured by tibial peripheral quantitative computed tomography (pQCT), included 4% trabecular and 38% cortical volumetric bone mineral density (vBMD), 4% and 38% cross-sectional area (CSA), and 38% stress-strain index (SSI). Multivariable linear regression tested associations between HIV status and outcomes, stratified by sex and puberty (Tanner 1-2 versus 3-5), adjusting for age, height, fat mass, physical activity, and socioeconomic and orphanhood statuses. We recruited 303 CWH and 306 CWOH; 50% were female. Although CWH were similar in age to CWOH (overall mean ± SD 12.4 ± 2.5 years), more were prepubertal (ie, Tanner 1; 41% versus 23%). Median age at ART initiation was 4 (IQR 2-7) years, whereas median ART duration was 8 (IQR 6-10) years. CWH were more often stunted (height-for-age Z-score <-2) than those without HIV (33% versus 7%). Both male and female CWH in later puberty had lower trabecular vBMD, CSA (4% and 38%), and SSI than those without HIV, whereas cortical density was similar. Adjustment explained some of these differences; however, deficits in bone size persisted in CWH in later puberty (HIV*puberty interaction p = 0.035 [males; 4% CSA] and p = 0.029 [females; 38% CSA]). Similarly, puberty further worsened the inverse association between HIV and bone strength (SSI) in both males (interaction p = 0.008) and females (interaction p = 0.004). Despite long-term ART, we identified deficits in predicted bone strength in those living with HIV, which were more overt in the later stages of puberty. This is concerning, as this may translate to higher fracture risk later in life. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Cynthia Mukwasi-Kahari
- Department of Infectious Diseases Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.,The Health Research Unit Zimbabwe (THRU-Zim), Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Andrea M Rehman
- Department of Infectious Diseases Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Mícheál Ó Breasail
- MRC Nutrition and Bone Health Research Group, University of Cambridge, Cambridge, UK.,Population Health Sciences, Bristol Medical School, Bristol, UK
| | - Ruramayi Rukuni
- The Health Research Unit Zimbabwe (THRU-Zim), Biomedical Research and Training Institute, Harare, Zimbabwe.,Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Tafadzwa Madanhire
- Department of Infectious Diseases Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.,The Health Research Unit Zimbabwe (THRU-Zim), Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Joseph Chipanga
- The Health Research Unit Zimbabwe (THRU-Zim), Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Lynda Stranix-Chibanda
- Child and Adolescent Health Unit, Faculty of Medicine and Health Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Lisa K Micklesfield
- South African Medical Research Council/Wits Developmental Pathways for Health Research Unit (DPHRU), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Rashida A Ferrand
- The Health Research Unit Zimbabwe (THRU-Zim), Biomedical Research and Training Institute, Harare, Zimbabwe.,Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.,MRC Unit, The Gambia at LSHTM, Banjul, Gambia
| | - Celia L Gregson
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK
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20
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Zengin A, Ó Breasail M, Parsons CM, Jarjou LM, Janha RE, Jobe M, Prentice A, Cooper C, Ebeling PR, Ward KA. Sex-specific associations between cardiovascular risk factors and physical function: the Gambian Bone and Muscle Ageing Study. J Cachexia Sarcopenia Muscle 2023; 14:84-92. [PMID: 36346161 PMCID: PMC9891990 DOI: 10.1002/jcsm.13069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 06/30/2022] [Accepted: 07/24/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In Sub-Saharan Africa, the prevalence of obesity, cardiovascular disease (CVD) and impaired physical function are increasing due to rapid urbanization. We investigated sex differences in associations between cardiac workload, arterial stiffness, peripheral vascular calcification (PVC) and physical function in Gambian adults. METHODS A total of 488 Gambians aged 40-75+ years were recruited (men: 239; and women: 249). Supine blood pressure and heart rate were measured to calculate rate pressure product and pulse pressure. Presence of PVC was determined from tibia peripheral quantitative computed tomography scans. Physical function was assessed by chair rise test (CRT), single two-legged jump (s2LJ) and hand grip strength (HGS). Body composition was measured by dual-energy x-ray absorptiometry; body size corrections were used to calculate fat mass index (FMI) and appendicular lean mass index (ALMI). Estimated glomerular filtration rate (eGFR) was measured from fasting blood samples. The relationship between rate pressure product, pulse pressure or presence of PVC (independent variable) with physical function parameters (dependent variable) was tested using linear regression. Sex-interactions were tested (p-int) adjusting for age, eGFR and ALMI/FMI. Results were expressed as mean differences between men and women with 95% confidence intervals. Mediation analyses used ALMI/FMI as mediator. RESULTS Women weighed less (54.7 kg ± 10.3 vs. 59.9 kg ± 10.3) and were shorter (157.8 cm ± 6.0 vs. 169.2 cm ± 7.0) compared with men (both P < 0.0001). Women had higher FMI (6.8 kg/m2 ± 2.9 vs. 2.9 kg/m2 ± 2.0, P < 0.0001) and eGFR (263.7 mL/min/1.73 m2 ± 133.1 vs. 237.6 mL/min/1.73 m2 ± 134.6), but lower ALMI (6.2 kg/m2 ± 0.7 vs. 8.02 kg/m2 ± 1.0, P < 0.0001) compared with men. There were significant mean differences between men and women in rate pressure product and s2LJ power (-1.08 [-1.21, -0.95]) and force (-0.57 [-0.63, -0.51]), only after adjusting for age, eGFR and FMI. There were significant mean differences in the associations between pulse pressure and CRT power (-0.28 [-0.31, -0.25]), s2LJ power (-1.07 [-1.20, -0.93]) and HGS (-11.94 [-13.35, -10.54]); these differences were greater after adjusting for age, eGFR and FMI, than ALMI. There were similar differences in the associations between PVC and physical function parameters. In men, FMI mediated the association between rate pressuree product and CRT power (P = 0.002), s2LJ force (P < 0.001) and s2LJ power (P = 0.001). ALMI did not mediate associations for either men or women. CONCLUSIONS Multiple risk factors for CVD were associated with poorer physical function in men and were mediated by FMI. There is a need to identify strategies to slow/prevent the rising CVD burden and poor physical function in Sub-Saharan Africa.
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Affiliation(s)
- Ayse Zengin
- Department of Medicine, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVictoriaAustralia
- MRC Nutrition and Bone Health GroupCambridgeUK
| | - Mícheál Ó Breasail
- MRC Nutrition and Bone Health GroupCambridgeUK
- Ageing and Movement Research Group, Population Health Sciences, Bristol Medical SchoolUniversity of BristolBristolUK
| | - Camille M. Parsons
- MRC Lifecourse Epidemiology Centre, Human Development and HealthUniversity of SouthamptonSouthamptonUK
| | - Landing M. Jarjou
- MRC Unit The GambiaLondon School of Hygiene and Tropical MedicineThe Gambia
| | | | - Modou Jobe
- MRC Unit The GambiaLondon School of Hygiene and Tropical MedicineThe Gambia
| | - Ann Prentice
- MRC Nutrition and Bone Health GroupCambridgeUK
- MRC Unit The GambiaLondon School of Hygiene and Tropical MedicineThe Gambia
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, Human Development and HealthUniversity of SouthamptonSouthamptonUK
- National Institute for Health Research (NIHR) Musculoskeletal Biomedical Research UnitUniversity of OxfordOxfordUK
| | - Peter R. Ebeling
- Department of Medicine, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVictoriaAustralia
| | - Kate A. Ward
- MRC Nutrition and Bone Health GroupCambridgeUK
- MRC Lifecourse Epidemiology Centre, Human Development and HealthUniversity of SouthamptonSouthamptonUK
- MRC Unit The GambiaLondon School of Hygiene and Tropical MedicineThe Gambia
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21
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Watson D, Chatio S, Barker M, Boua PR, Compaoré A, Dalaba M, Erzse A, Godfrey K, Hofman K, Kehoe S, McGrath N, Mukoma G, Nonterah EA, Norris SA, Sorgho H, Ward KA, Hardy-Johnson P. Men’s motivations, barriers to and aspirations for their families’ health in the first 1000 days in sub-Saharan Africa: a secondary qualitative analysis. BMJ Nutr Prev Health 2023. [PMID: 37484540 PMCID: PMC10359544 DOI: 10.1136/bmjnph-2022-000423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
IntroductionThe first 1000 days of life are a critical period of growth and development that have lasting implications for health, cognitive, educational and economic outcomes. In sub-Saharan Africa, gender and social norms are such that many men have little engagement with maternal and child health and nutrition during pregnancy and early childhood. This study explores how men perceive their role in three sites in sub-Saharan Africa.MethodsSecondary qualitative analysis of 10 focus group discussions with 76 men in Burkina Faso, Ghana and South Africa. Data were thematically analysed to explore men’s perceptions of maternal and child health and nutrition.ResultsMen considered themselves ‘providers’ and 'advisors' within their families, particularly of finances, food and medicines. They also indicated that this advice was out of care and concern for their families’ health. There were similarities in how the men perceive their role. Differences between men living in rural and urban settings included health priorities, the advice and the manner in which it was provided. Across all settings, men wanted to be more involved with maternal and child health and nutrition. Challenges to doing so included stigma and proscribed social gender roles.ConclusionMen want a greater engagement in improving maternal and child health and nutrition but felt that their ability to do so was limited by culture-specified gender roles, which are more focused on providing for and advising their families. Involving both men and women in intervention development alongside policymakers, health professionals and researchers is needed to improve maternal and child health and nutrition.
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Ó Breasail M, Pearse C, Zengin A, Jarjou L, Cooper C, Ebeling PR, Prentice A, Ward KA. Longitudinal Change in Bone Density, Geometry, and Estimated Bone Strength in Older Men and Women From The Gambia: Findings From the Gambian Bone and Muscle Aging Study (GamBAS). J Bone Miner Res 2023; 38:48-58. [PMID: 36270918 PMCID: PMC10098512 DOI: 10.1002/jbmr.4727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 10/03/2022] [Accepted: 10/19/2022] [Indexed: 01/10/2023]
Abstract
Musculoskeletal aging in the most resource-limited countries has not been quantified, and longitudinal data are urgently needed to inform policy. The aim of this prospective study was to describe musculoskeletal aging in Gambian adults. A total of 488 participants were recruited stratified by sex and 5-year age band (aged 40 years and older); 386 attended follow-up 1.7 years later. Outcomes were dual-energy X-ray absorptiometry (DXA) (n = 383) total hip areal bone mineral density (aBMD), bone mineral content (BMC), bone area (BA); peripheral quantitative computed tomography (pQCT) diaphyseal and epiphyseal radius and tibia (n = 313) total volumetric BMD (vBMD), trabecular vBMD, estimated bone strength indices (BSIc), cross-sectional area (CSA), BMC, and cortical vBMD. Mean annualized percentage change in bone outcomes was assessed in 10-year age bands and linear trends for age assessed. Bone turnover markers, parathyroid hormone (PTH), and 25-hydroxyvitamin D (25(OH)D) were explored as predictors of change in bone. Bone loss was observed at all sites, with an annual loss of total hip aBMD of 1.2% in women after age 50 years and in men at age 70 years plus. Greater loss in vBMD and BSIc was found at the radius in both men and women; strength was reduced by 4% per year in women and 3% per year in men (p trend 0.02, 0.03, respectively). At cortical sites, reductions in BMC, CSA, and vBMD were observed, being greatest in BMC in women, between 1.4% and 2.0% per annum. Higher CTX and PINP predicted greater loss of trabecular vBMD in women and BMC in men at the radius, and higher 25(OH)D with less loss of tibial trabecular vBMD and CSA in women. The magnitude of bone loss was like those reported in countries where fragility fracture rates are much higher. Given the predicted rise in fracture rates in resource-poor countries such as The Gambia, these data provide important insights into musculoskeletal health in this population. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Mícheál Ó Breasail
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Nutrition and Bone Health Research Group, University of Cambridge, Cambridge, UK
| | - Camille Pearse
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Ayse Zengin
- Department of Medicine, School of Clinical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash Medical Centre, Monash University, Clayton, Australia
| | - Landing Jarjou
- MRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- National Institute for Health Research (NIHR) Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - Peter R Ebeling
- Department of Medicine, School of Clinical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash Medical Centre, Monash University, Clayton, Australia
| | - Ann Prentice
- MRC Nutrition and Bone Health Research Group, University of Cambridge, Cambridge, UK
- MRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia
| | - Kate A Ward
- MRC Nutrition and Bone Health Research Group, University of Cambridge, Cambridge, UK
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
- MRC Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia
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23
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Desmond C, Watt K, Boua PR, Moore C, Erzse A, Sorgho H, Hofman K, Roumba T, Tinto H, Ward KA. Investing in human development and building state resilience in fragile contexts: A case study of early nutrition investments in Burkina Faso. PLOS Glob Public Health 2023; 3:e0001737. [PMID: 36989221 DOI: 10.1371/journal.pgph.0001737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 02/27/2023] [Indexed: 03/30/2023]
Abstract
Maternal and early malnutrition have negative health and developmental impacts over the life-course. Consequently, early nutrition support can provide significant benefits into later life, provided the later life contexts allow. This study examines the limits of siloed investments in nutrition and illustrates how ignoring life-course contextual constraints limits human development benefits and exacerbates inequality, particularly in fragile contexts. This case study focuses on Burkina Faso, a country with high rates of early malnutrition and a fragile state. We modelled the impact of scaling up 10 nutrition interventions to 80% coverage for a single year cohort on stunting, nationally and sub-nationally, using the Lives Saved Tool (LiST), and the consequent impact on earnings, without and with a complementary cash-transfer in later life. The impact on earnings was modelled utilising the well-established pathway between early nutrition, years of completed schooling and, consequent adult earnings. Productivity returns were estimated as the present value of increased income over individuals' working lives, then compared to estimates of the present value of providing the cost of nutrition interventions and cash-transfers. The cost benefit ratio at the national level for scaled nutrition alone is 1:1. Sub-nationally the worst-off region yields the lowest ratio < 0.2 for every dollar spent. The combination of nutrition and cash-transfers national cost benefit is 1:12, still with regional variation but with great improvement in the poorest region. This study shows that early nutrition support alone may not be enough to address inequality and may add to state fragility. Taking a life-course perspective when priority-setting in contexts with multiple constraints on development can help to identify interventions that maximizing returns, without worsening inequality.
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Affiliation(s)
- Chris Desmond
- SAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, University of Witwatersrand School of Public Health, Johannesburg, South Africa
| | - Kathryn Watt
- Centre for Rural Health, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - Palwendé R Boua
- Clinical Research Unit of Nanoro (CRUN), Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso
- Sydney Brenner Institute for Molecular Biosciences (SBIMB), University of Witwatersrand, Johannesburg, South Africa
| | - Candice Moore
- Department of International Relations, School of Social Sciences, Faculty of Humanities, University of the Witwatersrand, Johannesburg, South Africa
| | - Agnes Erzse
- SAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, University of Witwatersrand School of Public Health, Johannesburg, South Africa
| | - Hermann Sorgho
- Clinical Research Unit of Nanoro (CRUN), Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso
| | - Karen Hofman
- SAMRC/ Wits Centre for Health Economics and Decision Science, PRICELESS SA, Faculty of Health Sciences, University of Witwatersrand School of Public Health, Johannesburg, South Africa
| | - Toussaint Roumba
- Clinical Research Unit of Nanoro (CRUN), Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso
| | - Halidou Tinto
- Clinical Research Unit of Nanoro (CRUN), Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso
| | - Kate A Ward
- SAMRC Developmental Pathways for Health Research Unit, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
- Global Health Research Institute, School of Human Development and Health, Faculty of Medicine, University of Southampton, United Kingdom
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
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Harvey NC, Orwoll E, Cauley JA, Kwok T, Karlsson MK, Rosengren BE, Ribom E, Cawthon PM, Ensrud K, Liu E, Laskou F, Ward KA, Dennison EM, Cooper C, Kanis JA, Vandenput L, Lorentzon M, Ohlsson C, Mellström D, Johansson H, McCloskey E. Greater pQCT Calf Muscle Density Is Associated with Lower Fracture Risk, Independent of FRAX, Falls and BMD: A Meta-Analysis in the Osteoporotic Fractures in Men (MrOS) Study. JBMR Plus 2022; 6:e10696. [PMID: 36530188 PMCID: PMC9751652 DOI: 10.1002/jbm4.10696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 10/26/2022] [Indexed: 11/11/2022] Open
Abstract
We investigated the predictive performance of peripheral quantitative computed tomography (pQCT) measures of both calf muscle density (an established surrogate for muscle adiposity, with higher values indicating lower muscle adiposity and higher muscle quality) and size (cross-sectional area [CSA]) for incident fracture. pQCT (Stratec XCT2000/3000) measurements at the tibia were undertaken in Osteoporotic Fractures in Men (MrOS) United States (US), Hong Kong (HK), and Swedish (SW) cohorts. Analyses were by cohort and synthesized by meta-analysis. The predictive value for incident fracture outcomes, illustrated here for hip fracture (HF), using an extension of Poisson regression adjusted for age and follow-up time, was expressed as hazard ratio (HR) per standard deviation (SD) increase in exposure (HR/SD). Further analyses adjusted for femoral neck (fn) bone mineral density (BMD) T-score, Fracture Risk Assessment Tool (FRAX) 10-year fracture probability (major osteoporotic fracture) and prior falls. We studied 991 (US), 1662 (HK), and 1521 (SW) men, mean ± SD age 77.0 ± 5.1, 73.9 ± 4.9, 80 ± 3.4 years, followed for a mean ± SD 7.8 ± 2.2, 8.1 ± 2.3, 5.3 ± 2.0 years, with 31, 47, and 78 incident HFs, respectively. Both greater muscle CSA and greater muscle density were associated with a lower risk of incident HF [HR/SD: 0.84; 95% confidence interval [CI], 0.72-1.0 and 0.78; 95% CI, 0.66-0.91, respectively]. The pattern of associations was not materially changed by adjustment for prior falls or FRAX probability. In contrast, after inclusion of fn BMD T-score, the association for muscle CSA was no longer apparent (1.04; 95% CI, 0.88-1.24), whereas that for muscle density was not materially changed (0.69; 95% CI, 0.59-0.82). Findings were similar for osteoporotic fractures. pQCT measures of greater calf muscle density and CSA were both associated with lower incidence of fractures in older men, but only muscle density remained an independent risk factor for fracture after accounting for fn BMD. These findings demonstrate a complex interplay between measures of bone, muscle size, and quality, in determining fracture risk. © 2022 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Nicholas C. Harvey
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Eric Orwoll
- Division of Endocrinology, Diabetes and Clinical Nutrition, School of MedicineOregon Health & Science UniversityPortlandORUSA
| | - Jane A. Cauley
- Department of Epidemiology, Graduate School of Public HealthUniversity of PittsburghPittsburghPAUSA
| | - Timothy Kwok
- Department of Medicine & Therapeutics and School of Public HealthThe Chinese University of Hong KongShatinChina
| | - Magnus K. Karlsson
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences MalmoLund University and Department of Orthopedics, Skane University HospitalMalmoSweden
| | - Björn E. Rosengren
- Clinical and Molecular Osteoporosis Research Unit, Department of Clinical Sciences MalmoLund University and Department of Orthopedics, Skane University HospitalMalmoSweden
| | - Eva Ribom
- Department of Surgical SciencesUniversity of UppsalaUppsalaSweden
| | - Peggy M. Cawthon
- Research InstituteCalifornia Pacific Medical CenterSan FranciscoCAUSA
- Department of Epidemiology and BiostatisticsUniversity of CaliforniaSan FranciscoCAUSA
| | - Kristine Ensrud
- Medicine and Epidemiology & Community HealthUniversity of MinnesotaMinneapolisMNUSA
- Center for Care Delivery and Outcomes ResearchMinneapolis VA Health Care SystemMinneapolisMNUSA
| | - Enwu Liu
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
| | - Faidra Laskou
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Kate A. Ward
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Elaine M. Dennison
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
- NIHR Oxford Biomedical Research CentreUniversity of OxfordOxfordUK
| | - John A. Kanis
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
| | - Liesbeth Vandenput
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Mattias Lorentzon
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Claes Ohlsson
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Dan Mellström
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Helena Johansson
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneAustralia
- Sahlgrenska Osteoporosis Centre, Sahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Eugene McCloskey
- Centre for Metabolic Bone DiseasesUniversity of SheffieldSheffieldUK
- Centre for Integrated Research into Musculoskeletal Ageing (CIMA), Mellanby Centre for Musculoskeletal ResearchUniversity of SheffieldSheffieldUK
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25
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Harvey NC, Clegg PD, Dennison EM, Greenhaff P, Griffin SJ, Gregson CL, Jackson MJ, Lord JM, McCloskey EV, Stevenson E, Tobias JH, Ward KA, Cooper C. UKRI MRC National Musculoskeletal Ageing Network: strategic prioritisation to increase healthy lifespan and minimise physical frailty. Arch Osteoporos 2022; 17:147. [PMID: 36414807 DOI: 10.1007/s11657-022-01172-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 09/23/2022] [Indexed: 11/24/2022]
Affiliation(s)
- Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital NHS Foundation Trust, Southampton, UK
| | - Peter D Clegg
- Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L7 8TX, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Centre, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital NHS Foundation Trust, Southampton, UK
| | - Paul Greenhaff
- MRC Versus Arthritis Centre for Musculoskeletal Ageing Research, The Medical School, University of Nottingham, Nottingham, UK
- NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK
| | - Simon J Griffin
- Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Celia L Gregson
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Royal United Hospital NHS Foundation Trust, Bath, UK
| | - Malcom J Jackson
- MRC-Versus Arthritis Centre for Integrated Research Into Musculoskeletal Ageing (CIMA), Department of Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L7 8TX, UK
| | - Janet M Lord
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - Eugene V McCloskey
- MRC-Versus Arthritis Centre for Integrated research in Musculoskeletal Ageing, Mellanby Centre for Musculoskeletal Research, Department of Oncology & Metabolism, University of Sheffield, Sheffield, UK
| | - Emma Stevenson
- Human Nutrition Research Centre, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Jonathan H Tobias
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital NHS Foundation Trust, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, Southampton General Hospital, University of Southampton, Southampton, SO16 6YD, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital NHS Foundation Trust, Southampton, UK.
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
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26
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Laskou F, Westbury LD, Fuggle NR, Harvey NC, Patel HP, Cooper C, Ward KA, Dennison EM. Determinants of muscle density and clinical outcomes: Findings from the Hertfordshire Cohort Study. Bone 2022; 164:116521. [PMID: 35985467 DOI: 10.1016/j.bone.2022.116521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/02/2022] [Accepted: 08/12/2022] [Indexed: 12/01/2022]
Abstract
PURPOSE The age-related loss of skeletal muscle mass and strength is associated with adverse health outcomes. However, to date, peripheral quantitative computed tomography (pQCT)-derived muscle density has been little studied. We used a well characterised cohort of older adults to identify lifestyle and anthropometric determinants of pQCT-derived muscle density measured 11 years later, and to report relationships between pQCT-derived muscle density with history of falls and prevalent fractures. METHODS A lifestyle questionnaire was administered to 197 men and 178 women, aged 59-70 at baseline. After a median of 11.5 (IQR 10.9, 12.3) years, pQCT (Stratec XCT2000) of the radius and tibia was performed to measure forearm muscle density (FMD) and calf muscle density (CMD). Presence of falls and fractures since the age of 45 were determined through participant recall; vertebral fractures were also ascertained through vertebral fracture assessment using iDXA. Total hip BMD (TH aBMD) was assessed using DXA. Baseline characteristics in relation to muscle density at follow-up were examined using linear regression; associations between muscle density and prior falls and fractures were investigated using logistic regression. All analyses were adjusted for sex and age. RESULTS Mean (SD) age at muscle density measurement was 76.3 (2.6) years. Mean (SD) FMD was 79.9 (3.1) and 77.2 (3.2) among males and females, respectively; CMD was 80.7 (2.6) and 78.5 (2.6) among males and females, respectively. Significant sex-differences in muscle density were observed at each site (p < 0.001). Female sex, lower weight, and lower body mass index were associated (p < 0.05) with both lower FMD and CMD. Additional correlates of lower CMD included older age and shorter stature. Lifestyle measures were not associated with muscle density in this cohort. Lower FMD was related to increased risk of previous fracture (odds ratio (95 % CI) per SD lower FMD: 1.42 (1.07, 1.89), p = 0.015) but not after adjustment for TH aBMD (p > 0.08). No significant relationships were seen between muscle density and falls. CONCLUSION Female sex, older age, and lower BMI were associated with subsequent lower muscle density in older community-dwelling adults. Lower FMD was related to increased risk of previous fracture. Changes in muscle density over time might precede adverse outcomes such as falls and fractures and may be a long-term predictor of frailty. It could be also suggested that muscle density could be a more clinically meaningful surrogate of functional decline and disability than muscle size or mass, but more studies are needed to support this notion.
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Affiliation(s)
- Faidra Laskou
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - Leo D Westbury
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Nicholas R Fuggle
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; The Alan Turing Institute, London, UK
| | - Nicholas C Harvey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - Harnish P Patel
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK; Medicine for Older People, University Hospital Southampton, Southampton, UK; Academic Geriatric Medicine, University of Southampton, Southampton, UK
| | - Cyrus Cooper
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK; NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Kate A Ward
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - Elaine M Dennison
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK; Victoria University of Wellington, Wellington, New Zealand.
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Ó Breasail M, Gregson CL, Norris SA, Madanhire T, Jaff N, Crowther NJ, Micklesfield LK, Ward KA. Menopause is associated with bone loss, particularly at the distal radius, in black South African women: Findings from the Study of Women Entering and in Endocrine Transition (SWEET). Bone 2022; 164:116543. [PMID: 36058501 DOI: 10.1016/j.bone.2022.116543] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 08/17/2022] [Accepted: 08/27/2022] [Indexed: 11/23/2022]
Abstract
UNLABELLED Menopause transition is associated with accelerated bone loss, though data are limited from sub-Saharan African (SSA). Our objective was to describe bone density, geometry and estimated strength in women by menopause status and to explore whether patterns differed within those living with HIV. METHODS Radius and tibia peripheral QCT data were collected for Black South African women (n = 430) aged 40-61 years with verified menopause and HIV status. pQCT outcomes were distal 4 % radius and tibia total cross-sectional area (CSA), total volumetric bone mineral density (vBMD), and compressive bone strength (BSIc); proximal 66 % radius and 38 % tibia cortical vBMD, total CSA, cortical thickness, and Stress-strain Index (SSI). Linear regression assessed associations between pre, peri-, and postmenopausal groups and pQCT outcomes adjusting for age, height, and weight, and then stratified by HIV status. Mean [95%CI] and tests for trend (p-trend) across menopausal groups are presented. RESULTS Women were mean (SD) age 49.2 (5.3) years, with a body mass index (BMI) of 32.4 (6.3) m/kg2, and 18 % were living with HIV. After adjustment, later menopause stage was associated with lower 4 % radius total mean [95%CIs] vBMD (premenopause: 345.7 [335.8,355.5] vs. postmenopause: 330.1 [322.7,337.6] mg/cm3, p-trend = 0.017) and BSIc (premenopause: 0.39 [0.37,0.41] vs. postmenopause: 0.36 [0.35,0.37] g2/cm4; p-trend = 0.012). Similar trends were observed at the 66 % radius for cortical vBMD (premenopause: 1146.8 [1138.9,1154.6] vs. postmenopause: 1136.1 [1130.1,1142.0] mg/cm3; p-trend = 0.028) and cortical thickness (premenopause: 2.01 [1.95,2.06] vs. postmenopause: 1.93 [1.89,1.98] mm; p-trend = 0.036). After stratification by HIV status a similar patten was observed in women with HIV (cortical vBMD premenopause: 1152.9 [1128.5,1177.2] mg/cm3 vs. postmenopause: 1123.6 [1106.0,1141.2] mg/cm3, p-trend = 0.048). Total CSA varied little by menopause or HIV status at either radius sites; few differences were found at the tibia. CONCLUSION In black South African women, menopause is associated with lower bone density and strength at the distal radius, a common site of osteoporotic fracture, in addition to lower cortical density and thickness at the proximal radius. Although the sample size was small, following stratification by HIV, women living with HIV had evidence of lower cortical density across menopause stages, unlike those without HIV. These findings raise concern for the incidence of Colles' fractures in postmenopausal women in South Africa; longitudinal studies of fracture incidence and implications of living with HIV are required.
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Affiliation(s)
- Mícheál Ó Breasail
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; MRC Nutrition and Bone Health Research Group, Clifford Allbutt Building, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 OAH, United Kingdom.
| | - Celia L Gregson
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom; SAMRC/Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Shane A Norris
- SAMRC/Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Global Health Research Institute, School of Human Development and Health, University of Southampton, United Kingdom.
| | - Tafadzwa Madanhire
- Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom; SAMRC/Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Nicole Jaff
- Department of Chemical Pathology, National Health Laboratory Service and University of the Witwatersrand, Johannesburg, South Africa.
| | - Nigel J Crowther
- Department of Chemical Pathology, National Health Laboratory Service and University of the Witwatersrand, Johannesburg, South Africa.
| | - Lisa K Micklesfield
- SAMRC/Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Kate A Ward
- MRC Nutrition and Bone Health Research Group, Clifford Allbutt Building, University of Cambridge, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 OAH, United Kingdom; SAMRC/Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom; MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine, United Kingdom.
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Zhang J, Parsons C, Fuggle N, Ward KA, Cooper C, Dennison E. Is Regular Weight-Bearing Physical Activity Throughout the Lifecourse Associated with Better Bone Health in Late Adulthood? Calcif Tissue Int 2022; 111:279-287. [PMID: 35713660 PMCID: PMC9395437 DOI: 10.1007/s00223-022-00995-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 05/24/2022] [Indexed: 11/02/2022]
Abstract
We considered how weight-bearing physical activity (WBPA) through the lifecourse related to bone health in late adulthood in the Hertfordshire Cohort Study (HCS), a cohort of community dwelling adults born 1931-9, to identify sex-specific differences and periods critical for optimal bone health. Available questionnaire data from 258 participants (128 men and 130 women) included current reported lifestyle factors (including physical activity) and WBPA, coded as participation in WBPA aged < 18 years; aged 18-29 years; aged 30-49 years and aged ≥ 50 years. Responses were recorded as none/once a month/once a week/> once a week. Hip bone mineral density (BMD) was measured using a Lunar Prodigy DXA scanner. The mean age was 75.4 (SD 2.5) years in men and 75.7 (SD 2.6) years in women. Men reported significantly higher levels of past WBPA aged < 18 years (p = 0.006) and aged 18-29 years than women (p < 0.001). We observed greater BMD at total hip in women who reported regular WBPA at ages 18-29 years (p = 0.02) and 30-49 years (p = 0.02) compared with those who reported no WBPA (p = 0.019), after adjustment for confounders including current activity levels. In this cohort of older adults, recalled regular WBPA around the time of peak bone mass acquisition was less common in women than men, but associated with higher hip BMD in women in late adulthood.
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Affiliation(s)
- Jean Zhang
- MRC Lifecourse Epidemiology Centre Southampton General Hospital, Tremona Rd, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Camille Parsons
- MRC Lifecourse Epidemiology Centre Southampton General Hospital, Tremona Rd, Southampton, SO16 6YD, UK
| | - Nicholas Fuggle
- MRC Lifecourse Epidemiology Centre Southampton General Hospital, Tremona Rd, Southampton, SO16 6YD, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre Southampton General Hospital, Tremona Rd, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre Southampton General Hospital, Tremona Rd, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK
| | - Elaine Dennison
- MRC Lifecourse Epidemiology Centre Southampton General Hospital, Tremona Rd, Southampton, SO16 6YD, UK.
- Victoria University of Wellington, Wellington, New Zealand.
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Bloom I, Zhang J, Parsons C, Bevilacqua G, Dennison EM, Cooper C, Ward KA. Nutritional risk and its relationship with physical function in community-dwelling older adults. Aging Clin Exp Res 2022; 34:2031-2039. [PMID: 35773448 PMCID: PMC9464117 DOI: 10.1007/s40520-022-02171-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 06/06/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Malnutrition is a serious concern in older populations. Simple screening approaches are needed to identify signs of early nutritional risk in older people, to allow intervention before overt malnutrition develops, along with the poorer health outcomes associated with it, such as sarcopaenia and frailty. The main aim of this study was to compare nutrition risk scores, calculated from the DETERMINE Checklist ('Determine Your Nutritional Health', also known as the Nutrition Screening Initiative Checklist), with physical function variables in a group of community-dwelling older adults. Another aim was to assess the prevalence of nutrition risk using the DETERMINE and the MUST (Malnutrition Universal Screening Tool). METHODS Participants of the Hertfordshire Cohort Study (HCS) were recruited and visited at home by a trained researcher. Self-reported physical function was assessed using the SF-36 PF (Short Form-36 Physical Function) scale. The Short Physical Performance Battery (SPPB) was performed, which included the assessment of gait speed, chair rise time and standing balance. Handgrip strength was measured using a Jamar dynamometer. Frailty was assessed according to the presence of at least three of the following Fried frailty criteria: unintentional weight loss, weakness, self-reported exhaustion, slow gait speed and low physical activity. Nutrition risk scores were calculated from the DETERMINE checklist (range 0-21). Nutritional risk was also assessed using the MUST. Analyses were adjusted for sex, age, age left education and number of comorbidities. RESULTS In the study, 176 participants (94 men and 82 women), median age 83.3 (IQR 81.5-85.7) years, were assessed. Almost half (47%) scored either 'moderate' (score 3-5) or 'high' (score ≥ 6) nutritional risk (9% were at high risk), using the DETERMINE checklist, whereas 8% were at risk using the MUST. Higher nutrition risk scores, calculated from DETERMINE, were associated with poorer self-reported physical function (difference in SF-36 PF score: - 0.36, 95% CI (- 0.60, - 0.12) SD per unit increase in nutrition risk score, P = 0.004) and higher odds of being frail (odds ratio Fried frailty: 2.23, 95% CI (1.15, 4.33), P = 0.017). There were no significant associations between DETERMINE nutrition risk scores and the other variables examined. CONCLUSION Cross-sectional associations between higher nutrition risk scores, assessed from the DETERMINE checklist, and poorer self-reported physical function and greater likelihood of frailty suggest that this screening tool may have utility for screening older populations. Prospective studies are required to explore the ability of the tool to predict poor physical function and frailty, though these data suggest it has potential for early, simple detection of nutritional problems in community-living older adults.
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Affiliation(s)
- Ilse Bloom
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK.
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK.
| | - Jean Zhang
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK
| | - Camille Parsons
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
| | - Gregorio Bevilacqua
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
- Victoria University of Wellington, Wellington, New Zealand
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, OX3 7LD, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, SO16 6YD, UK
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Lyons-Reid J, Kenealy T, Albert BB, Ward KA, Harvey N, Godfrey KM, Chan SY, Cutfield WS. Cross-calibration of two dual-energy X-ray absorptiometry devices for the measurement of body composition in young children. Sci Rep 2022; 12:13862. [PMID: 35974044 PMCID: PMC9381538 DOI: 10.1038/s41598-022-17711-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 07/29/2022] [Indexed: 11/09/2022] Open
Abstract
This study aimed to cross-calibrate body composition measures from the GE Lunar Prodigy and GE Lunar iDXA in a cohort of young children. 28 children (mean age 3.4 years) were measured on the iDXA followed by the Prodigy. Prodigy scans were subsequently reanalysed using enCORE v17 enhanced analysis ("Prodigy enhanced"). Body composition parameters were compared across three evaluation methods (Prodigy, Prodigy enhanced, iDXA), and adjustment equations were developed. There were differences in the three evaluation methods for all body composition parameters. Body fat percentage (%BF) from the iDXA was approximately 1.5-fold greater than the Prodigy, whereas bone mineral density (BMD) was approximately 20% lower. Reanalysis of Prodigy scans with enhanced software attenuated these differences (%BF: - 5.2% [95% CI - 3.5, - 6.8]; and BMD: 1.0% [95% CI 0.0, 1.9]), although significant differences remained for all parameters except total body less head (TBLH) total mass and TBLH BMD, and some regional estimates. There were large differences between the Prodigy and iDXA, with these differences related both to scan resolution and software. Reanalysis of Prodigy scans with enhanced analysis resulted in body composition values much closer to those obtained on the iDXA, although differences remained. As manufacturers update models and software, researchers and clinicians need to be aware of the impact this may have on the longitudinal assessment of body composition, as results may not be comparable across devices and software versions.
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Affiliation(s)
- Jaz Lyons-Reid
- Liggins Institute, The University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Timothy Kenealy
- Liggins Institute, The University of Auckland, Private Bag 92019, Auckland, New Zealand
- Department of Medicine and Department of General Practice and Primary Health Care, The University of Auckland, Auckland, New Zealand
| | - Benjamin B Albert
- Liggins Institute, The University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Nicholas Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wayne S Cutfield
- Liggins Institute, The University of Auckland, Private Bag 92019, Auckland, New Zealand.
- A Better Start-National Science Challenge, The University of Auckland, Auckland, New Zealand.
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31
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Parsons CM, Dennison EM, Fuggle N, Breasail MÓ, Deere K, Hannam K, Tobias JH, Cooper C, Ward KA. Assessment of Activity Profiles in Older Adults and Lower Limb Bone Parameters: Observations from the Hertfordshire Cohort Study. Calcif Tissue Int 2022; 111:13-20. [PMID: 35212826 PMCID: PMC9232475 DOI: 10.1007/s00223-022-00953-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 01/25/2022] [Indexed: 11/29/2022]
Abstract
As muscle strength and function decline with age the optimal high-impact physical activity (PA) required for bone remodelling is rarely achievable in older adults. This study aimed to explore the activity profiles of community-dwelling older men and women and to assess the relationship between individual PA profiles and lower limb bone parameters. Participants from the Hertfordshire Cohort Study wore triaxial accelerometers for 7 days and counts of low (0.5-1.0 g), medium (1.0-1.5 g), and high (> 1.5 g) vertical-impact activity were calculated. Two years later, participants underwent a pQCT scan of the tibia (4% and 38% sites) to obtain measures of bone mineral density and bone geometry. Linear regression was used to quantify associations between bone and PA loading profiles adjusting for age, sex, loading category, and BMI. Results are presented as β [95% confidence interval]. Bone and PA data were available for 82 participants. The mean (SD) age at follow-up was 81.4(2.7) years, 41.5% (n = 34) were women. The median low-impact PA count was 5281 (Inter-quartile range (IQR) 2516-12,977), compared with a median of only 189 (IQR 54-593) in medium, and 39 (IQR 9-105) in high-impact counts. Positive associations between high-impact PA and cortical area (mm2), polar SSI (mm3), and total area (mm2) at the 38% slice (6.21 [0.88, 11.54]; 61.94 [25.73, 98.14]; 10.09 [3.18, 16.99], respectively). No significant associations were found at distal tibia. These data suggest that maintaining high (> 1.5 g)-impact activity is difficult for older adults to achieve; however, even small amounts of high-impact PA are positively associated with selected cortical bone parameters 2 years later.
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Affiliation(s)
- C M Parsons
- MRC Lifecourse Epidemiology Centre, Human Health and Development, University of Southampton, Southampton, SO16 6YD, UK
| | - E M Dennison
- MRC Lifecourse Epidemiology Centre, Human Health and Development, University of Southampton, Southampton, SO16 6YD, UK
| | - N Fuggle
- MRC Lifecourse Epidemiology Centre, Human Health and Development, University of Southampton, Southampton, SO16 6YD, UK
| | - M Ó Breasail
- MRC Nutrition and Bone Health Research Group, Cambridge, UK
| | - K Deere
- Musculoskeletal Research Unit, University of Bristol, Bristol, UK
| | - K Hannam
- Musculoskeletal Research Unit, University of Bristol, Bristol, UK
| | - J H Tobias
- Musculoskeletal Research Unit, University of Bristol, Bristol, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Centre, Human Health and Development, University of Southampton, Southampton, SO16 6YD, UK.
- National Institute for Health Research Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
- National Institute for Health Research Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, UK.
| | - K A Ward
- MRC Lifecourse Epidemiology Centre, Human Health and Development, University of Southampton, Southampton, SO16 6YD, UK
- MRC Nutrition and Bone Health Research Group, Cambridge, UK
- National Institute for Health Research Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
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Chotiyarnwong P, McCloskey EV, Harvey NC, Lorentzon M, Prieto-Alhambra D, Abrahamsen B, Adachi JD, Borgström F, Bruyere O, Carey JJ, Clark P, Cooper C, Curtis EM, Dennison E, Diaz-Curiel M, Dimai HP, Grigorie D, Hiligsmann M, Khashayar P, Lewiecki EM, Lips P, Lorenc RS, Ortolani S, Papaioannou A, Silverman S, Sosa M, Szulc P, Ward KA, Yoshimura N, Kanis JA. Is it time to consider population screening for fracture risk in postmenopausal women? A position paper from the International Osteoporosis Foundation Epidemiology/Quality of Life Working Group. Arch Osteoporos 2022; 17:87. [PMID: 35763133 PMCID: PMC9239944 DOI: 10.1007/s11657-022-01117-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 05/03/2022] [Indexed: 02/03/2023]
Abstract
The IOF Epidemiology and Quality of Life Working Group has reviewed the potential role of population screening for high hip fracture risk against well-established criteria. The report concludes that such an approach should strongly be considered in many health care systems to reduce the burden of hip fractures. INTRODUCTION The burden of long-term osteoporosis management falls on primary care in most healthcare systems. However, a wide and stable treatment gap exists in many such settings; most of which appears to be secondary to a lack of awareness of fracture risk. Screening is a public health measure for the purpose of identifying individuals who are likely to benefit from further investigations and/or treatment to reduce the risk of a disease or its complications. The purpose of this report was to review the evidence for a potential screening programme to identify postmenopausal women at increased risk of hip fracture. METHODS The approach took well-established criteria for the development of a screening program, adapted by the UK National Screening Committee, and sought the opinion of 20 members of the International Osteoporosis Foundation's Working Group on Epidemiology and Quality of Life as to whether each criterion was met (yes, partial or no). For each criterion, the evidence base was then reviewed and summarized. RESULTS AND CONCLUSION The report concludes that evidence supports the proposal that screening for high fracture risk in primary care should strongly be considered for incorporation into many health care systems to reduce the burden of fractures, particularly hip fractures. The key remaining hurdles to overcome are engagement with primary care healthcare professionals, and the implementation of systems that facilitate and maintain the screening program.
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Affiliation(s)
- P Chotiyarnwong
- Department of Oncology & Metabolism, Mellanby Centre for Musculoskeletal Research, MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, University of Sheffield, Sheffield, UK
- Department of Orthopaedic Surgery, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - E V McCloskey
- Department of Oncology & Metabolism, Mellanby Centre for Musculoskeletal Research, MRC Versus Arthritis Centre for Integrated Research in Musculoskeletal Ageing, University of Sheffield, Sheffield, UK.
- Centre for Metabolic Bone Diseases, Northern General Hospital, University of Sheffield, Herries Road, Sheffield, S5 7AU, UK.
| | - N C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - M Lorentzon
- University of Gothenburg, Gothenburg, Sweden
- Australian Catholic University, Melbourne, Australia
| | - D Prieto-Alhambra
- Oxford NIHR Biomedical Research Centre, University of Oxford, Windmill Road, Oxford, OX3 7LD, UK
- GREMPAL (Grup de Recerca en Malalties Prevalents de L'Aparell Locomotor) Research Group, CIBERFes and Idiap Jordi Gol Primary Care Research Institute, Universitat Autònoma de Barcelona and Instituto de Salud Carlos III, Gran Via de Les Corts Catalanes, 591 Atico, 08007, Barcelona, Spain
| | - B Abrahamsen
- Department of Clinical Research, Odense Patient Data Exploratory Network, University of Southern Denmark, Odense, Denmark
- Department of Medicine, Holbæk Hospital, Holbæk, Denmark
| | - J D Adachi
- Department of Medicine, Michael G DeGroote School of Medicine, St Joseph's Healthcare-McMaster University, Hamilton, ON, Canada
| | - F Borgström
- Quantify Research, Stockholm, Sweden
- Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet, Stockholm, Sweden
| | - O Bruyere
- WHO Collaborating Center for Public Health Aspects of Musculo-Skeletal Health and Ageing, Division of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium
| | - J J Carey
- School of Medicine, National University of Ireland Galway, Galway, Ireland
- Department of Rheumatology, Galway University Hospitals, Galway, Ireland
| | - P Clark
- Clinical Epidemiology Unit of Hospital Infantil de México Federico Gómez-Faculty of Medicine, Universidad Nacional Autónoma de México, UNAM, Mexico City, Mexico
| | - C Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - E M Curtis
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - E Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - M Diaz-Curiel
- Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
| | - H P Dimai
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | - D Grigorie
- Carol Davila University of Medicine, Bucharest, Romania
- Department of Endocrinology & Bone Metabolism, National Institute of Endocrinology, Bucharest, Romania
| | - M Hiligsmann
- Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - P Khashayar
- Center for Microsystems Technology, Imec and Ghent University, 9050, Ghent, Belgium
| | - E M Lewiecki
- New Mexico Clinical Research & Osteoporosis Center, Albuquerque, NM, USA
| | - P Lips
- Department of Internal Medicine, Endocrine Section & Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - R S Lorenc
- Multidisciplinary Osteoporosis Forum, SOMED, Warsaw, Poland
| | - S Ortolani
- IRCCS Istituto Auxologico, UO Endocrinologia E Malattie del Metabolismo, Milano, Italy
| | - A Papaioannou
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- GERAS Centre for Aging Research, Hamilton, ON, Canada
| | - S Silverman
- Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - M Sosa
- Bone Metabolic Unit, University of Las Palmas de Gran Canaria, Hospital University Insular, Las Palmas, Gran Canaria, Spain
| | - P Szulc
- INSERM UMR 1033, University of Lyon, Hôpital Edouard Herriot, Lyon, France
| | - K A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - N Yoshimura
- Department of Preventive Medicine for Locomotive Organ Disorders, 22Nd Century Medical and Research Center, University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - J A Kanis
- Centre for Metabolic Bone Diseases, Northern General Hospital, University of Sheffield, Herries Road, Sheffield, S5 7AU, UK
- Australian Catholic University, Melbourne, Australia
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Dlamini SN, Norris SA, Mendham AE, Mtintsilana A, Ward KA, Olsson T, Goedecke JH, Micklesfield LK. Targeted proteomics of appendicular skeletal muscle mass and handgrip strength in black South Africans: a cross-sectional study. Sci Rep 2022; 12:9512. [PMID: 35680977 PMCID: PMC9178538 DOI: 10.1038/s41598-022-13548-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 05/25/2022] [Indexed: 11/20/2022] Open
Abstract
Although appendicular skeletal muscle mass (ASM) and handgrip strength (HGS) are key components of sarcopenia, their underlying biological mechanisms remain poorly understood. We aimed to investigate associations of circulating biomarkers with ASM and HGS in middle-aged black South Africans. This study consisted of 934 black South Africans (469 men and 465 women, aged 41-72 years) from the Middle-aged Soweto cohort. Linear regression models were used to examine relationships between 182 biomarkers (measured with proximity extension assay) and dual-energy X-ray absorptiometry-measured ASM and dynamometer-measured HGS. Age, height, sex, smoking, alcohol, food insecurity, physical activity, visceral adipose tissue, HIV and menopausal status were included as confounders. Regression models showing sex-interactions were stratified by sex. The Benjamini-Hochberg false discovery rate (FDR) was used to control for multiple testing, and FDR-adjusted P values were reported. In the total sample, 10 biomarkers were associated with higher ASM and 29 with lower ASM (P < 0.05). Out of these 39 biomarkers, 8 were also associated with lower HGS (P < 0.05). MMP-7 was associated with lower HGS only (P = 0.011) in the total sample. Sex-interactions (P < 0.05) were identified for 52 biomarkers for ASM, and 6 for HGS. For men, LEP, MEPE and SCF were associated with higher ASM (P < 0.001, = 0.004, = 0.006, respectively), and MEPE and SCF were also associated with higher HGS (P = 0.001, 0.012, respectively). Also in men, 37 biomarkers were associated with lower ASM (P < 0.05), with none of these being associated with lower HGS. Furthermore, DLK-1 and MYOGLOBIN were associated with higher HGS only (P = 0.004, 0.006, respectively), while GAL-9 was associated with lower HGS only (P = 0.005), among men. For women, LEP, CD163, IL6, TNF-R1 and TNF-R2 were associated with higher ASM (P < 0.001, = 0.014, = 0.027, = 0.014, = 0.048, respectively), while IGFBP-2, CTRC and RAGE were associated with lower ASM (P = 0.043, 0.001, 0.014, respectively). No biomarker was associated with HGS in women. In conclusion, most biomarkers were associated with ASM and not HGS, and the associations of biomarkers with ASM and HGS displayed sex-specificity in middle-aged black South Africans. Proteomic studies should examine ASM and HGS individually. Future research should also consider sexual dimorphism in the pathophysiology of sarcopenia for development of sex-specific treatment and diagnostic methods.
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Affiliation(s)
- Siphiwe N Dlamini
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Shane A Norris
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Global Health Research Institute, School of Health and Human Development, University of Southampton, Southampton, UK
| | - Amy E Mendham
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Health Through Physical Activity, Lifestyle and Sport Research Centre, FIMS International Collaborating Centre of Sports Medicine, Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Asanda Mtintsilana
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Kate A Ward
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Tommy Olsson
- Department of Public Health and Clinical Medicine, Medicine, Umeå University, Umeå, Sweden
| | - Julia H Goedecke
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Lisa K Micklesfield
- SAMRC/Wits Developmental Pathways for Health Research Unit, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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34
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Brooke-Wavell K, Skelton DA, Barker KL, Clark EM, De Biase S, Arnold S, Paskins Z, Robinson KR, Lewis RM, Tobias JH, Ward KA, Whitney J, Leyland S. Strong, steady and straight: UK consensus statement on physical activity and exercise for osteoporosis. Br J Sports Med 2022; 56:bjsports-2021-104634. [PMID: 35577538 PMCID: PMC9304091 DOI: 10.1136/bjsports-2021-104634] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/28/2022] [Indexed: 12/11/2022]
Abstract
Exercise and physical activity can improve bone strength and the risk of falls, which may offer benefits in the prevention and management of osteoporosis. However, uncertainty about the types of exercise that are safe and effective instigates lack of confidence in people with osteoporosis and health professionals. Existing guidelines leave some questions unresolved. This consensus statement aimed to determine the physical activity and exercise needed to optimise bone strength, reduce fall and fracture risk, improve posture and manage vertebral fracture symptoms, while minimising potential risks in people with osteoporosis. The scope of this statement was developed following stakeholder consultation. Meta-analyses were reviewed and where evidence was lacking, individual studies or expert opinion were used to develop recommendations. A multidisciplinary expert group reviewed evidence to make recommendations, by consensus when evidence was not available. Key recommendations are that people with osteoporosis should undertake (1) resistance and impact exercise to maximise bone strength; (2) activities to improve strength and balance to reduce falls; (3) spinal extension exercise to improve posture and potentially reduce risk of falls and vertebral fractures. For safety, we recommend avoiding postures involving a high degree of spinal flexion during exercise or daily life. People with vertebral fracture or multiple low trauma fractures should usually exercise only up to an impact equivalent to brisk walking. Those at risk of falls should start with targeted strength and balance training. Vertebral fracture symptoms may benefit from exercise to reduce pain, improve mobility and quality of life, ideally with specialist advice to encourage return to normal activities. Everyone with osteoporosis may benefit from guidance on adapting postures and movements. There is little evidence that physical activity is associated with significant harm, and the benefits, in general, outweigh the risks.
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Affiliation(s)
- Katherine Brooke-Wavell
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Dawn A Skelton
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK
| | - Karen L Barker
- Physiotherapy Department, Nuffield Orthopaedic Centre, University of Oxford, Oxford, UK
| | - Emma M Clark
- Bristol Medical School, University of Bristol, Bristol, UK
- North Bristol NHS Trust, Bristol, UK
| | - Sarah De Biase
- Older People's Mental Health Service, Bradford District Care NHS Foundation Trust, Bradford, UK
- AGILE, Chartered Society of Physiotherapy, London, UK
| | - Susanne Arnold
- AGILE, Chartered Society of Physiotherapy, London, UK
- Warwick Clinical Trials Unit, University of Warwick, Coventry, UK
| | - Zoe Paskins
- Primary Care Versus Arthritis Centre, Keele University, Keele, UK
| | - Katie R Robinson
- Academic Unit of Injury, Inflammation and Recovery Sciences, School of Medicine, University of Nottingham, Nottingham, UK
| | | | - Jonathan H Tobias
- Bristol Medical School, University of Bristol, Bristol, UK
- North Bristol NHS Trust, Bristol, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Julie Whitney
- Department of Physiotherapy, King's College London, London, UK
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Bevilacqua G, D’Angelo S, Linaker C, Paul A, Bloom I, Zhang J, Laskou F, Cooper C, Ward KA, Walker-Bone K, Dennison EM. Physical Activity and Diet in a Global Pandemic: An Investigation of the Impact of COVID-19 on Factors Relevant for Musculoskeletal Health at Two Different Stages of the Lifecourse. Front Endocrinol (Lausanne) 2022; 13:882399. [PMID: 35592788 PMCID: PMC9110642 DOI: 10.3389/fendo.2022.882399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background Physical activity, nutrition and other lifestyle factors play important roles in maintaining musculoskeletal health. The coronavirus disease (COVID-19) originated in late 2019, spread globally to be declared a pandemic by the World Health Organisation in March 2020, and led to widespread behaviour change. The aim of this study was to use two existing cohorts, the Hertfordshire Cohort Study (HCS) and Health and Employment After Fifty Study (HEAF), to understand how wave one of the COVID-19 pandemic impacted lifestyle factors associated with musculoskeletal health in the UK. Methods 125 eligible participants, 65 males and 60 females (drawn from the HCS study, median (IQR) age 84.3 (82.4-86.6) years, all Caucasian, and community dwelling) were contacted by telephone and asked to complete a questionnaire administered by a trained researcher. Data collection occurred over the period July 2020 to February 2021. 2469 participants, 1086 men and 1383 women (drawn from the HEAF study, median age 65.7 (62.0-69.3) years, mostly Caucasian and community dwelling) completed an online questionnaire in March 2021. Results In HCS, 47% respondents reported being less physically active than before the pandemic (and only 5% more so), 27% said they consumed less alcohol compared to pre-pandemic times (and only 3% more so), and 18% reported eating less than before, although quality of diet was generally unchanged over this timeframe surveyed. In HEAF, 44% participants said they were less active than before the pandemic, while 17% reported being more active. The majority of participants reported no changes in alcohol consumption and diet; however, 19% said they drank more than before (32% of which was above recommended levels), 16% said their diet was less healthy, and 19% reported eating more than before. Conclusion We have reported the experience of the first wave of the COVID-19 pandemic among participants of two Caucasian community dwelling UK cohorts, highlighting the impact of the pandemic on lifestyle factors associated with musculoskeletal health. Changed physical activity levels were reported in a high proportion of respondents in both studies; an investigation of reversibility of these changes is required.
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Affiliation(s)
- Gregorio Bevilacqua
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- Medical Research Council (MRC) Versus Arthritis Centre for Musculoskeletal Health and Work, University of Southampton, Southampton, United Kingdom
| | - Stefania D’Angelo
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- Medical Research Council (MRC) Versus Arthritis Centre for Musculoskeletal Health and Work, University of Southampton, Southampton, United Kingdom
| | - Cathy Linaker
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- Medical Research Council (MRC) Versus Arthritis Centre for Musculoskeletal Health and Work, University of Southampton, Southampton, United Kingdom
| | - Alice Paul
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
| | - Ilse Bloom
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- National Institute for Health and Care Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, United Kingdom
| | - Jean Zhang
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- National Institute for Health and Care Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, United Kingdom
| | - Faidra Laskou
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
| | - Cyrus Cooper
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- National Institute for Health and Care Research (NIHR) Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service (NHS) Foundation Trust, Southampton, United Kingdom
- National Institute for Health and Care Research (NIHR) Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Kate A. Ward
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
| | - Karen Walker-Bone
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- Medical Research Council (MRC) Versus Arthritis Centre for Musculoskeletal Health and Work, University of Southampton, Southampton, United Kingdom
| | - Elaine M. Dennison
- Medical Research Council (MRC) Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, United Kingdom
- School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand
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Ward KA. Challenges to current and future bone health in young women living with HIV. Lancet Glob Health 2022; 10:e598-e599. [PMID: 35427508 DOI: 10.1016/s2214-109x(22)00178-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 03/28/2022] [Indexed: 11/17/2022]
Affiliation(s)
- Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton SO16 6YD, UK; Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, Banjul, Gambia.
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Fuggle NR, Westbury L, Reswan F, Graham N, Kitaba N, Ward KA, Ward KA, Harvey N, Holloway J, Dennison E, Cooper C. P095 Epigenetic clocks have the potential to predict future grip strength in males but not females. Rheumatology (Oxford) 2022. [DOI: 10.1093/rheumatology/keac133.094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background/Aims
Sarcopenia and muscle ageing are associated with substantial morbidity and mortality for the individual and significant costs to healthcare budgets. However, if we can identify those at particular risk of muscle decline it may be possible to intervene, prevent further deterioration and improve the musculoskeletal health of the ageing population. DNA methylation accumulates across the lifecourse and provides the basis for biological clocks, generating a measure of age acceleration (i.e. that an individual is biologically older or younger than their chronological age would suggest). An example is the GrimAge clock which was designed to estimate remaining longevity and thus may potentially represent a novel risk marker for muscle deterioration. We aimed to investigate whether there is an association between methylation-measured age acceleration and future grip strength in a group of community-dwelling older adults.
Methods
This study is based within the Hertfordshire Cohort Study. At baseline, participants attended research visits where health-related questionnaires were completed and blood samples were collected. DNA was extracted from peripheral blood leukocytes and DNA methylation at CpG sites was measured using the Infinium Human Methylation Beadchip arrays (Illumina Inc., San Diego, CA) (450k, n = 99 and 850k, n = 326). After pre-processing, GrimAge epigenetic age acceleration was measured, using the array-specific publicly available algorithms, and standardised to an SD scale. Grip strength was ascertained using the JAMAR dynamometer at baseline and follow-up. Linear regression was used to examine GrimAge acceleration in relation to grip strength at baseline and follow-up in unadjusted models and those adjusted for age, height and BMI.
Results
A total of 425 participants (213 males and 212 females) were included in our analyses. The mean age at baseline was 64.1 years (SD 2.6) for males and 65.9 years (SD 2.7) for females. The median follow-up time was 11.6 years (IQR 11.0-12.4) and mean GrimAge at baseline was 58.4 years (SD 5.6). Higher GrimAge acceleration was significantly associated with lower grip strength at baseline (β= -1.43kg [95% CI: -2.39,-0.47] per SD greater age acceleration in univariate model, p < 0.01) in unadjusted and adjusted models and at follow-up (β= -1.25kg [-2.24,-0.26] per SD, p < 0.02). No significant associations were observed in females.
Conclusion
Our results suggest that greater GrimAge acceleration, as a measure of biological age acceleration, is significantly associated with lower grip strength after approximately a decade of follow-up. However, this association was only observed in males and not in females. The GrimAge clock was designed using methylation surrogates of age-related plasma proteins and smoking pack years, and it may be that the variation in these was more marked in our male population compared to females. Further work is required to investigate and replicate the above association.
Disclosure
N.R. Fuggle: None. L. Westbury: None. F. Reswan: None. N. Graham: None. N. Kitaba: None. K.A. Ward: None. K.A. Ward: None. N. Harvey: None. J. Holloway: None. E. Dennison: None. C. Cooper: None.
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Affiliation(s)
- Nicholas R Fuggle
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
| | - Leo Westbury
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
| | - Faisal Reswan
- Human Development and Health, University of Southampton, Southampton, UNITED KINGDOM
| | - Nikki Graham
- Human Development and Health, University of Southampton, Southampton, UNITED KINGDOM
| | - Negusse Kitaba
- Human Development and Health, University of Southampton, Southampton, UNITED KINGDOM
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
| | - Nicholas Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
| | - John Holloway
- Human Development and Health, University of Southampton, Southampton, UNITED KINGDOM
| | - Elaine Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
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Curtis EM, D'Angelo S, Woolford S, Durdin R, Raisi-Estabragh Z, Ward KA, Cooper C, Harvey NC. P143 Frailty is associated with inflammation, impaired glucose metabolism and reduced bone mineral density after adjustment for fat mass index: a UK biobank study. Rheumatology (Oxford) 2022. [DOI: 10.1093/rheumatology/keac133.142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background/Aims
Frailty, a common syndrome associated with aging, represents a huge public health burden. An improved understanding of the mechanisms underlying frailty are essential, especially in younger populations in whom frailty could be prevented. Fundamental aging processes such as chronic inflammation are associated with frailty, but the independence of these relationships from age, sex, lifestyle and adiposity is unclear. Using UK Biobank, we investigated associations between frailty, blood biomarkers and bone health, independent of these characteristics.
Methods
502,640 participants aged 40-69 years were recruited to UK Biobank 2006-10. Venous blood samples were obtained and fat mass was measured by bioelectrical impedance. From 2014 onwards, a subset attended an imaging follow-up, including whole-body DXA (GE Lunar iDXA), grip strength (Jamar dynamometer), and a questionnaire. Frailty was defined using a modification of Fried’s classification (at least 3 of weight loss, mental exhaustion, low physical activity, slow gait speed and low grip strength). The presence of 1-2 criteria designated pre-frailty. Linear regression was used to discern associations between frailty status, biochemical markers (CRP, 25(OH)-vitamin D, IGF-1, Calcium, Phosphate, ALP, Creatinine, Urate, glucose and HbA1c) and bone outcomes, adjusting for age, sex, fat mass, smoking, alcohol and educational level. Non-frail was the reference category and blood biomarkers were standardised (β representing the mean difference in SD).
Results
22,332 participants (11,484 women and 10,848 men) with frailty assessment and either DXA bone measures or blood biochemistry were included in the analysis; of these 547 (2.4%) were frail and 9359 (41.9%) pre-frail. Frail participants were more likely to be female [59.6% vs. 50.9%], with higher BMI [mean (SD) 30.7 (6.4) vs. 25.9 (4.0) kg/m2] and of older age [mean (SD) 63.2 (7.9) vs. 62.6 (7.3) years]. After full adjustment, frail participants had lower 25(OH)-vitamin D levels [-0.36 SD (-0.45,-0.27)], higher CRP [+0.29 SD (95% CI 0.21, 0.37)], and higher HbA1c [+0.32 SD (0.23, 0.40)], all p < 0.001. Frail participants had lower femoral neck [-0.18 SD (-0.26, -0.10)] and lumbar spine bone mineral density (BMD) [-0.13 SD (-0.21, -0.06)], both p < 0.001. BMD associations were only apparent after fat mass adjustment, prior to fat mass adjustment the direction of association was positive. Similar associations were observed for pre-frail vs. non-frail participants.
Conclusion
In the UK Biobank cohort of middle-older aged people, frailty is associated with high levels of systemic inflammation, low 25(OH)-vitamin D, poorer glucose handling and lower BMD, independent of age, sex and lifestyle. The inversion of BMD associations after adjustment for fat mass is intriguing and suggests substantial phenotypic complexity in the associations. Our findings support further investigation of frailty phenotypes at younger ages and elucidation of possible contributions from conditions such as metabolic syndrome and obesity-related chronic inflammation.
Disclosure
E.M. Curtis: None. S. D'Angelo: None. S. Woolford: None. R. Durdin: None. Z. Raisi-Estabragh: None. K.A. Ward: None. C. Cooper: None. N.C. Harvey: None.
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Affiliation(s)
- Elizabeth M Curtis
- University of Southampton, MRC Lifecourse Epidemiology Centre, Southampton, UNITED KINGDOM
| | - Stefania D'Angelo
- University of Southampton, MRC Lifecourse Epidemiology Centre, Southampton, UNITED KINGDOM
| | - Stephen Woolford
- University of Southampton, MRC Lifecourse Epidemiology Centre, Southampton, UNITED KINGDOM
| | - Ruth Durdin
- University of Southampton, MRC Lifecourse Epidemiology Centre, Southampton, UNITED KINGDOM
| | - Zahra Raisi-Estabragh
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, UNITED KINGDOM
| | - Kate A Ward
- University of Southampton, MRC Lifecourse Epidemiology Centre, Southampton, UNITED KINGDOM
| | - Cyrus Cooper
- University of Southampton, MRC Lifecourse Epidemiology Centre, Southampton, UNITED KINGDOM
| | - Nicholas C Harvey
- University of Southampton, MRC Lifecourse Epidemiology Centre, Southampton, UNITED KINGDOM
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Fuggle NR, Lu S, Breasail MÓ, Westbury LD, Ward KA, Dennison E, Mahmoodi S, Niranjan M, Cooper C. OA22 Machine learning and computer vision of bone microarchitecture can improve the fracture risk prediction provided by DXA and clinical risk factors. Rheumatology (Oxford) 2022. [DOI: 10.1093/rheumatology/keac132.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background/Aims
High-resolution peripheral quantitative computed tomography (HR-pQCT) scanning provides such detailed, 3-dimensional reconstructions of the skeleton that the images have been called ‘a virtual bone biopsy’. Traditional analysis of the images results in a multitude of cortical and trabecular parameters which would be potentially cumbersome to interpret for clinicians compared to user-friendly tools such as FRAX®. A computer vision approach, where the entire scan is ‘read’ by a computer algorithm to ascertain fracture risk, would be far simpler. Thus, we investigated whether a computer vision and machine learning technique could improve the current methods of assessing fracture risk.
Methods
This study was nested in the Hertfordshire Cohort Study, a group of community-dwelling older adults. Participants attended research visits at which height and weight were measured; fracture history was determined via self-report and vertebral fracture assessment. Bone microarchitecture was assessed via HR-pQCT scans of the non-dominant distal tibia (Scanco XtremeCT) and bone mineral density measurement and lateral vertebral assessment were performed using dual X-ray absorptiometry (DXA) (Lunar Prodigy Advanced). Images were cropped and pre-processed and texture analysis was performed using a 3-dimensional local binary patterns method. These analyses, together with age, sex, height, weight, BMI, and dietary calcium, were used in the random-forest classification algorithm. Receiver operating characteristic (ROC) analysis was used to compare fracture risk identification methods.
Results
Overall, 247 males and 149 females were included in this study with a mean age of approximately 76 years. Using clinical risk factors alone gave an area under the curve (AUC) of 0.70 (95% CI: 0.56-0.84), which improved to 0.71 (0.57-0.85) with the addition of DXA-measured BMD. The addition of the machine learning classifier to clinical risk factors and DXA-measured BMD lead to an improved AUC of 0.90 (0.83-0.96) with a sensitivity of 0.83 and specificity of 0.74.
Conclusion
The results of this preliminary work demonstrate that using a 3-dimensional computer vision method to HR-pQCT scanning can enhance the identification of those at risk of fracture beyond that afforded by clinical risk factors and DXA-measured BMD. This approach has the potential to make the information offered by HR-pQCT more accessible and applicable to healthcare professionals in the clinic if the technology becomes more widely available. Whilst these findings require replication in other cohorts, they are an early indicator that the application of a machine learning technique to bone microarchitecture could improve fracture prediction and osteoporosis care.
Disclosure
N.R. Fuggle: None. S. Lu: None. M. Ó Breasail: None. L.D. Westbury: None. K.A. Ward: None. E. Dennison: None. S. Mahmoodi: None. M. Niranjan: None. C. Cooper: None.
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Affiliation(s)
- Nicholas R Fuggle
- University of Southampton, MRC Lifecourse Epidemiology Centre, Southampton, UNITED KINGDOM
| | - Shengyu Lu
- Electronics and Computer Science, University of Southampton, Southampton, UNITED KINGDOM
| | - Mícheál Ó Breasail
- Population Health Sciences, University of Bristol, Bristol, UNITED KINGDOM
| | - Leo D Westbury
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
| | - Elaine Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
| | - Sasan Mahmoodi
- Electronics and Computer Science, University of Southampton, Southampton, UNITED KINGDOM
| | - Mahesan Niranjan
- Electronics and Computer Science, University of Southampton, Southampton, UNITED KINGDOM
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UNITED KINGDOM
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Nonterah EA, Welaga P, Chatio ST, Kehoe SH, Ofosu W, Ward KA, Godfrey KM, Oduro AR, Newell ML. Children born during the hunger season are at a higher risk of severe acute malnutrition: Findings from a Guinea Sahelian ecological zone in Northern Ghana. Matern Child Nutr 2022; 18:e13313. [PMID: 35008126 PMCID: PMC8932825 DOI: 10.1111/mcn.13313] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 11/28/2021] [Accepted: 12/10/2021] [Indexed: 12/13/2022]
Abstract
Heightened food insecurity in the hunger season increases the risk of severe acute malnutrition (SAM) in childhood. This study examined the association of season of birth with SAM in a Guinean Sahelian ecological zone. We analyzed routine health and sociodemographic surveillance data from the Navrongo Health and Socio-demographic Surveillance System collected between 2011 and 2018. January-June, the period of highest food insecurity, was defined as the hunger season. We defined moderate acute malnutrition as child mid-upper arm circumference (MUAC) between 115 mm and 135 mm and SAM as MAUC ≤ 115 mm. We used adjusted logistic regression to quantify the association between the season of birth and SAM in children aged 6-35 months. From the 29,452 children studied, 24% had moderate acute malnutrition. Overall, 1.4% had SAM, with a higher prevalence (1.8%) in the hunger season of birth. Compared with those born October-December, adjusted odds ratios (aOR) and 95% confidence interval (95% CI) for SAM were increased for children born in the hunger season: January-March (1.77 [1.31-2.39]) and April-June (1.92 [1.44-2.56]). Low birth weight, age at an assessment of nutritional status, and ethno-linguistic group were also significantly associated with SAM in adjusted analyses. Our study established that being born in the hunger season is associated with a higher risk of severe acute malnutrition. The result implies improvement in the food supply to pregnant and lactating mothers through sustainable agriculture or food system change targeting the hunger season may reduce the burden of severe acute malnutrition.
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Affiliation(s)
- Engelbert A Nonterah
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Paul Welaga
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
- School of Medicine and Dentistry, C K Tedam University of Technology and Applied Sciences, Navrongo, Upper East Region, Ghana
| | - Samuel T Chatio
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Sarah H Kehoe
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, UK
| | - Winfred Ofosu
- Upper East Regional Health Directorate, PMB, Bolgatanga, Ghana
| | - Kate A Ward
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, UK
- Global Health Research Institute, School of Health and Human Development, University of Southampton, Southampton, UK
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton, UK
| | - Abraham R Oduro
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Marie-Louise Newell
- Department of Human Development, University of Southampton, Southampton, UK
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Gupta A, Maslen C, Vindlacheruvu M, Abel RL, Bhattacharya P, Bromiley PA, Clark EM, Compston JE, Crabtree N, Gregory JS, Kariki EP, Harvey NC, McCloskey E, Ward KA, Poole KE. Digital health interventions for osteoporosis and post-fragility fracture care. Ther Adv Musculoskelet Dis 2022; 14:1759720X221083523. [PMID: 35368375 PMCID: PMC8966117 DOI: 10.1177/1759720x221083523] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The growing burden from osteoporosis and fragility fractures highlights a need to improve osteoporosis management across healthcare systems. Sub-optimal management of osteoporosis is an area suitable for digital health interventions. While fracture liaison services (FLSs) are proven to greatly improve care for people with osteoporosis, such services might benefit from technologies that enhance automation. The term 'Digital Health' covers a variety of different tools including clinical decision support systems, electronic medical record tools, patient decision aids, patient apps, education tools, and novel artificial intelligence (AI) algorithms. Within the scope of this review are AI solutions that use algorithms within health system registries to target interventions. Clinician-targeted, patient-targeted, or system-targeted digital health interventions could be used to improve management and prevent fragility fractures. This review was commissioned by The Royal Osteoporosis Society and Bone Research Academy during the production of the 2020 Research Roadmap (https://theros.org.uk), with the intention of identifying gaps where targeted research funding could lead to improved patient health. We explore potential uses of digital technology in the general management of osteoporosis. Evidence suggests that digital technologies can support multidisciplinary teams to provide the best possible patient care based on current evidence and to support patients in self-management. However, robust randomised controlled studies are still needed to assess the effectiveness and cost-effectiveness of these technologies.
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Affiliation(s)
- Amit Gupta
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | | | | | | | | | | | | | | | - Nicola Crabtree
- Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
| | | | | | | | | | | | - Kenneth E.S. Poole
- University of Cambridge School of Clinical Medicine, CB2 0QQ Cambridge, UK
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Cronin O, Lanham-New SA, Corfe BM, Gregson CL, Darling AL, Ahmadi KR, Gibson PS, Tobias JH, Ward KA, Traka MH, Rossi M, Williams C, Harvey NC, Cooper C, Whelan K, Uitterlinden AG, O'Toole PW, Ohlsson C, Compston JE, Ralston SH. Role of the Microbiome in Regulating Bone Metabolism and Susceptibility to Osteoporosis. Calcif Tissue Int 2022; 110:273-284. [PMID: 34870723 PMCID: PMC8860778 DOI: 10.1007/s00223-021-00924-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/04/2021] [Indexed: 12/15/2022]
Abstract
The human microbiota functions at the interface between diet, medication-use, lifestyle, host immune development and health. It is therefore closely aligned with many of the recognised modifiable factors that influence bone mass accrual in the young, and bone maintenance and skeletal decline in older populations. While understanding of the relationship between micro-organisms and bone health is still in its infancy, two decades of broader microbiome research and discovery supports a role of the human gut microbiome in the regulation of bone metabolism and pathogenesis of osteoporosis as well as its prevention and treatment. Pre-clinical research has demonstrated biological interactions between the microbiome and bone metabolism. Furthermore, observational studies and randomized clinical trials have indicated that therapeutic manipulation of the microbiota by oral administration of probiotics may influence bone turnover and prevent bone loss in humans. In this paper, we summarize the content, discussion and conclusions of a workshop held by the Osteoporosis and Bone Research Academy of the Royal Osteoporosis Society in October, 2020. We provide a detailed review of the literature examining the relationship between the microbiota and bone health in animal models and in humans, as well as formulating the agenda for key research priorities required to advance this field. We also underscore the potential pitfalls in this research field that should be avoided and provide methodological recommendations to facilitate bridging the gap from promising concept to a potential cause and intervention target for osteoporosis.
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Affiliation(s)
- Owen Cronin
- Rheumatic Diseases Unit, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XU, UK
| | - Susan A Lanham-New
- Nutrition, Food and Exercise Sciences Department, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK
| | - Bernard M Corfe
- Population Health Sciences Institute, Human Nutrition Research Centre, Faculty of Medical Sciences, Newcastle University, Newcastle, NE2 4HH, UK
| | - Celia L Gregson
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Andrea L Darling
- Nutrition, Food and Exercise Sciences Department, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK
| | - Kourosh R Ahmadi
- Nutrition, Food and Exercise Sciences Department, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK
| | - Philippa S Gibson
- Department of Nutritional Sciences, King's College London, London, UK
| | - Jon H Tobias
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Maria H Traka
- Food Databanks National Capability, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK
| | - Megan Rossi
- Department of Nutritional Sciences, King's College London, London, UK
| | - Claire Williams
- Molecular Gastroenterology Research Group, Academic Unit of Surgical Oncology, Department of Oncology and Metabolism, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
- NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Kevin Whelan
- Department of Nutritional Sciences, King's College London, London, UK
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Paul W O'Toole
- School of Microbiology and APC Microbiome Ireland, University College Cork, Room 447, Food Science Building, Cork, T12 K8AF, Ireland
| | - Claes Ohlsson
- Sahlgrenska Osteoporosis Centre, Center for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Stuart H Ralston
- Rheumatic Diseases Unit, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU, UK.
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XU, UK.
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Durdin R, Parsons C, Dennison EM, Williams S, Tillin T, Chaturvedi N, Cooper C, Harvey NC, Ward KA. Inflammatory status, body composition and ethnic differences in bone mineral density: The Southall and Brent Revisited Study. Bone 2022; 155:116286. [PMID: 34890861 PMCID: PMC8755916 DOI: 10.1016/j.bone.2021.116286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 11/19/2021] [Accepted: 12/02/2021] [Indexed: 11/25/2022]
Abstract
Ethnic differences in bone mineral density (BMD) and fracture risk are well-described; the aim of this study was to investigate whether central adiposity or inflammatory status contribute to these ethnic differences in BMD in later life. The Southall and Brent Revisited study (SABRE) is a UK-based tri-ethnic cohort of men and women of European, South Asian or African Caribbean origin. At the most recent SABRE follow-up (2014-2018), in addition to measures of cardiometabolic phenotype, participants had dual-energy X-ray absorptiometry (DXA) bone and body composition scans. Multiple linear regression was used to determine whether markers of body composition, central adiposity or inflammatory status contributed to ethnic differences in BMD. In men and women, age- and height-adjusted BMD at all sites was higher in African Caribbeans compared to Europeans (femoral neck: standardised β (95% confidence interval): men: 1.00SD (0.75, 1.25); women: 0.77SD (0.56, 0.99)). South Asian men had higher BMD than European men at the hip (femoral neck: 0.34SD (95%CI: 0.15, 0.54)). Although adjustment for body mass index (BMI) or lean mass index (LMI) at the lumbar spine reduced the size of the difference in BMD between African Caribbean and European men (age and height adjusted difference: 0.35SD (0.08, 0.62); age and BMI adjusted difference: 0.25SD (-0.02, 0.51)), in both men and women ethnic differences remained after adjustment for measures of central adiposity (estimated visceral adipose tissue mass (VAT mass) and android to gynoid ratio) and inflammation (interleukin-6 (logIL-6) and C-reactive protein (logCRP)). Furthermore, in women, we observed ethnic differences in the relationship between BMI (overall interaction: p = 0.04), LMI (p = 0.04) or VAT mass (p = 0.009) and standardised lumbar spine BMD. In this tri-ethnic cohort, ethnic differences in BMD at the femoral neck, total hip or lumbar spine were not explained by BMI, central adiposity or inflammatory status. Given ethnic differences in fracture incidence, it is important to further investigate why ethnic differences in BMD exist.
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Affiliation(s)
- Ruth Durdin
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Camille Parsons
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Elaine M Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Suzanne Williams
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Nishi Chaturvedi
- MRC Unit for Lifelong Health and Ageing, University College London, London, UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; Institute of Musculoskeletal Science, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, University of Oxford, Oxford, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; Institute of Musculoskeletal Science, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, University of Oxford, Oxford, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, UK; National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
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Norris SA, Frongillo EA, Black MM, Dong Y, Fall C, Lampl M, Liese AD, Naguib M, Prentice A, Rochat T, Stephensen CB, Tinago CB, Ward KA, Wrottesley SV, Patton GC. Nutrition in adolescent growth and development. Lancet 2022; 399:172-184. [PMID: 34856190 DOI: 10.1016/s0140-6736(21)01590-7] [Citation(s) in RCA: 108] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 05/18/2021] [Accepted: 07/02/2021] [Indexed: 12/14/2022]
Abstract
During adolescence, growth and development are transformative and have profound consequences on an individual's health in later life, as well as the health of any potential children. The current generation of adolescents is growing up at a time of unprecedented change in food environments, whereby nutritional problems of micronutrient deficiency and food insecurity persist, and overweight and obesity are burgeoning. In a context of pervasive policy neglect, research on nutrition during adolescence specifically has been underinvested, compared with such research in other age groups, which has inhibited the development of adolescent-responsive nutritional policies. One consequence has been the absence of an integrated perspective on adolescent growth and development, and the role that nutrition plays. Through late childhood and early adolescence, nutrition has a formative role in the timing and pattern of puberty, with consequences for adult height, muscle, and fat mass accrual, as well as risk of non-communicable diseases in later life. Nutritional effects in adolescent development extend beyond musculoskeletal growth, to cardiorespiratory fitness, neurodevelopment, and immunity. High rates of early adolescent pregnancy in many countries continue to jeopardise the growth and nutrition of female adolescents, with consequences that extend to the next generation. Adolescence is a nutrition-sensitive phase for growth, in which the benefits of good nutrition extend to many other physiological systems.
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Affiliation(s)
- Shane A Norris
- SAMRC Developmental Pathways for Health Research Unit, Department of Paediatrics, University of the Witwatersrand, Johannesburg, South Africa; Global Health Research Institute, School of Health and Human Development, University of Southampton, Southampton, UK.
| | - Edward A Frongillo
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Maureen M Black
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, USA; RTI International, Research Triangle Park, NC, USA
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Bejing, China
| | - Caroline Fall
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Michelle Lampl
- Emory Center for the Study of Human Health, Emory University, Atlanta, GA, USA
| | - Angela D Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Mariam Naguib
- Department of Medicine, McGill University, Montreal, QC, Canada
| | - Ann Prentice
- MRC Nutrition and Bone Health Group, Cambridge, UK; MRC Unit The Gambia, London School of Hygiene & Tropical Medicine, London, UK
| | - Tamsen Rochat
- SAMRC Developmental Pathways for Health Research Unit, Department of Paediatrics, University of the Witwatersrand, Johannesburg, South Africa
| | - Charles B Stephensen
- USDA Western Human Nutrition Research Center and Nutrition Department, University of California, Davis, CA, USA
| | | | - Kate A Ward
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; MRC Unit The Gambia, London School of Hygiene & Tropical Medicine, London, UK
| | - Stephanie V Wrottesley
- SAMRC Developmental Pathways for Health Research Unit, Department of Paediatrics, University of the Witwatersrand, Johannesburg, South Africa
| | - George C Patton
- Murdoch Children's Research Institute, University of Melbourne, Melbourne, VIC, Australia
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Bevilacqua G, Jameson KA, Zhang J, Bloom I, Fuggle NR, Patel HP, Ward KA, Cooper C, Dennison EM. Relationships between non-communicable disease, social isolation and frailty in community dwelling adults in later life: findings from the Hertfordshire Cohort Study. Aging Clin Exp Res 2022; 34:105-112. [PMID: 34845651 PMCID: PMC8628832 DOI: 10.1007/s40520-021-02026-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 11/07/2021] [Indexed: 11/24/2022]
Abstract
BACKGROUND Social relationships play a fundamental role in individuals' lives and health, and social isolation is prevalent among older people. Chronic non-communicable diseases (NCDs) and frailty are also common in older adults. AIMS To examine the association between number of NCDs and social isolation in a cohort of community-dwelling older adults in the UK, and to consider whether any potential association is mediated by frailty. METHODS NCDs were self-reported by 176 older community-dwelling UK adults via questionnaire. Social isolation was assessed using the six-item Lubben Social Network Scale. Frailty was assessed by the Fried phenotype of physical frailty. RESULTS The median (IQR) age of participants in this study was 83.1 (81.5-85.5) years for men and 83.8 (81.5-85.9) years for women. The proportion of socially isolated individuals was 19% in men and 20% in women. More women (18%) than men (13%) were identified as frail. The number of NCDs was associated with higher odds of being isolated in women (unadjusted odds ratio per additional NCD: 1.65, 95% CI 1.08, 2.52, p = 0.021), but not in men, and the association remained robust to adjustment, even when accounting for frailty (OR 1.85, 95% CI 1.06, 3.22, p = 0.031). DISCUSSION Number of self-reported NCDs was associated with higher odds of social isolation in women but not in men, and the association remained after considering frailty status. CONCLUSIONS Our observations may be considered by healthcare professionals caring for community-dwelling older adults with multiple NCDs, where enquiring about social isolation as part of a comprehensive assessment may be important.
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Affiliation(s)
- Gregorio Bevilacqua
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK
| | - Karen A. Jameson
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK
| | - Jean Zhang
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK
| | - Ilse Bloom
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK
- NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, UK
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Nicholas R. Fuggle
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK
| | - Harnish P. Patel
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK
- NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, UK
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Medicine for Older People, University Hospital Southampton, Southampton, UK
| | - Kate A. Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK
- National Institute for Health Research Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, OX3 7LE UK
| | - Elaine M. Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD UK
- Victoria University of Wellington, Wellington, New Zealand
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Zhang J, Bloom I, Dennison EM, Ward KA, Robinson SM, Barker M, Cooper C, Lawrence W. Understanding influences on physical activity participation by older adults: A qualitative study of community-dwelling older adults from the Hertfordshire Cohort Study, UK. PLoS One 2022; 17:e0263050. [PMID: 35077522 PMCID: PMC8789143 DOI: 10.1371/journal.pone.0263050] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 01/12/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND The health benefits of physical activity (PA) participation in later life are widely recognised. Understanding factors that can influence the participation of community-dwelling older adults in PA is crucial in an ageing society. This will be paramount in aiding the design of future interventions to effectively promote PA in this population. The main aim of this qualitative study was to explore influences on PA among community-dwelling older people, and the secondary aim was to explore gender differences. METHODS Qualitative data were collected in 2014 by conducting focus group discussions using a semi-structured discussion guide with older people resident in Hertfordshire, UK. Discussions were audio-recorded, transcribed verbatim and transcripts analysed thematically. RESULTS Ninety-two participants were recruited to the study (47% women; 74-83 years) and a total of 11 focus groups were conducted. Findings indicated six themes that appeared to affect older adults' participation in PA: past life experiences; significant life events; getting older; PA environment; psychological/personal factors; and social capital. Overall, the findings emphasised the role of modifiable factors, namely psychological factors (such as self-efficacy, motivation, outcome expectancy) and social factors (such as social support and social engagement). These factors exerted their own influence on physical activity participation, but also appeared to mediate the effect of other largely non-modifiable background and ageing-related factors on participants' engagement with PA in later life. CONCLUSION In view of these findings, intervention designers could usefully work with behavioural scientists for insight as to how to enhance psychological and social factors in older adults. Our data suggest that interventions that aim to build self-efficacy, motivation and social networks have the potential to indirectly promote PA participation in older adults. This would be best achieved by developing physical activity interventions through working with participants in an empowering and engaging way.
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Affiliation(s)
- Jean Zhang
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Ilse Bloom
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
- * E-mail:
| | - Elaine M. Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- Victoria University of Wellington, Wellington, New Zealand
| | - Kate A. Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Sian M. Robinson
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
- AGE Research Group, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- NIHR Newcastle Biomedical Research Centre, Newcastle University and Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Mary Barker
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, United Kingdom
| | - Wendy Lawrence
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
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Bloom I, Zhang J, Hammond J, Bevilacqua G, Lawrence W, Ward KA, Cooper C, Dennison EM. Impact of the COVID-19 pandemic on community-dwelling older adults: A longitudinal qualitative study of participants from the Hertfordshire Cohort Study. PLoS One 2022; 17:e0275486. [PMID: 36240147 PMCID: PMC9565385 DOI: 10.1371/journal.pone.0275486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 09/18/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Older adults have been especially vulnerable to adverse effects from the COVID-19 pandemic including higher mortality and more severe disease complications. At the same time, social isolation, malnutrition and physical inactivity are serious concerns among older adults. The pandemic and associated restrictions may serve to exacerbate these issues, presenting increased risks to physical and mental health. The aims of this qualitative study were: i) to explore how community-living older people in the UK experienced the first wave of the COVID-19 pandemic, specifically how it impacted their well-being and associated health behaviours; ii) to explore how older people's experiences and behaviours changed over time throughout the first wave. METHODS Qualitative data were collected by conducting serial telephone interviews, with an interval of approximately three months. Participants were from the Hertfordshire Cohort Study, all aged over 80 years. Discussions were audio-recorded, information related to the COVID-19 pandemic was transcribed verbatim and transcripts analysed thematically. Interviews were conducted from March to October 2020. RESULTS Data for twelve participants (7 men and 5 women) from a total of 35 interviews were used, comprising two or three timepoints per participant. Analysis identified five overarching themes: 1) shopping strategies and food accessibility, 2) limitations on activities and going out, 3) disruption to healthcare, 4) social and psychological repercussions, and 5) coping strategies. Findings highlight challenges associated with accessing shops, healthcare, and usual activities due to pandemic-related restrictions. Longitudinal findings showed that for some, the ongoing pandemic and related restrictions appeared to aggravate mental health issues (low mood, anxiety) over time, as well as greater feelings of isolation or loneliness, reduced activity and functional limitations; this was despite some relaxation of restrictions later on. Coping strategies used by participants included finding ways to keep busy and to do physical activity safely, maintaining social contact remotely, and having an optimistic or positive outlook, a 'do what you can' attitude. CONCLUSIONS Interventions are likely to be needed in the wake of the COVID-19 pandemic to support health behaviours, such as increasing physical activity, social engagement and improving mental health among community-living older adults.
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Affiliation(s)
- Ilse Bloom
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
- * E-mail:
| | - Jean Zhang
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Julia Hammond
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Gregorio Bevilacqua
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
| | - Wendy Lawrence
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Kate A. Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- NIHR Musculoskeletal Biomedical Research Unit, University of Oxford, Oxford, United Kingdom
| | - Elaine M. Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, United Kingdom
- Victoria University of Wellington, Wellington, New Zealand
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Ireland A, Riddell A, Prentice A, Eelloo J, Mughal MZ, Ward KA. Development of tibia & fibula bone deficits in children with neurofibromatosis type I - A longitudinal case-control comparison. Bone 2022; 154:116183. [PMID: 34600162 DOI: 10.1016/j.bone.2021.116183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/01/2021] [Accepted: 09/07/2021] [Indexed: 11/25/2022]
Abstract
Neurofibromatosis type 1 (NF1) is associated with lower bone mass and increased risk of fracture. Children with NF1 display faltering growth from mid-childhood. However, to date tibia bone development in children with NF1 across childhood and the role of body size have not been explored. Therefore, we recruited 24 children with NF1 (12 girls, mean age 8.2 ± 1.1y) and 104 children without NF1 (52 girls, mean age 11 ± 1.7y). Tibia and fibula bone characteristics were assessed at 4% and 38% distal-proximal tibia length in all children at baseline using peripheral quantitative computed tomography (pQCT). Longitudinal scans were obtained in 21 children with NF1 (12 girls) over 3.4 ± 0.3y and 71 children without NF1 (34 girls) over 1.1 ± 0.1y, such that at follow-up mean age of both groups (NF1 10.9 ± 1.3y, controls 11.4 ± 1.4y) were similar. Effects of group (NF1/control) on bone outcomes as well as group-by-age interactions, indicating differences in rate of change in bone outcome bone outcomes were assessed via linear mixed effects models with adjustment for sex, age, pubertal status and in additional models with adjustment for height and weight Z-scores. Group (NF1/control)-by-age interactions indicated a slower rate of tibia and fibula bone mass accrual in children with NF1 at all measured sites. These associations were attenuated by 25-50% by adjustment for height and weight Z-scores. At the 4% site, deficits in bone mass at older ages were related to slower trabecular BMD accrual. At the 38% site, group-by-age interactions suggested that bone mass deficits resulted from poorer accrual of cortical CSA and to a lesser extent cortical BMD. Lower limb bone mass deficits evident in children with NF1 appear to be progressive and emerge in mid-childhood. In part, they are related to development of a similar pattern of deficits in longitudinal growth and body weight in NF1. Interventions promoting muscle development or physical activity may be partially effective in attenuating bone mass accrual deficits in this population.
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Affiliation(s)
- Alex Ireland
- Musculoskeletal Science and Sports Medicine Research Centre, Department of Life Sciences, Manchester Metropolitan University, Manchester, UK.
| | - Amy Riddell
- Institute for Infection and Immunity, Paediatric Infectious Diseases Research Group, St. George's University of London, UK; previously at MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK
| | - Ann Prentice
- previously at MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, UK; MRC Nutrition and Bone Health Group, Cambridge, UK
| | - Judith Eelloo
- Nationally Commissioned Complex NF1 Service, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - M Zulf Mughal
- Nationally Commissioned Complex NF1 Service, Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK; Department of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester University NHS Foundation Trust, Manchester, UK; School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Unit, Human Development and Health, University of Southampton, Southampton, UK
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Holroyd CR, Carter S, Crozier SR, D'Angelo S, Curtis EM, Moon RJ, Davies JH, Ward KA, Dennison EM, Inskip HM, Godfrey KM, Cooper C, Harvey NC. Differential relationships between parent-child DXA and pQCT bone measures: Results from the Southampton Women's Survey. Bone 2021; 153:116134. [PMID: 34332160 PMCID: PMC7611825 DOI: 10.1016/j.bone.2021.116134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/13/2021] [Accepted: 07/24/2021] [Indexed: 10/20/2022]
Abstract
AIM To investigate the associations between indices of bone health in childhood and corresponding parental measures. METHODS The Southampton Women's Survey characterised 12,583 non-pregnant women aged 20-34 years; 3158 subsequently had singleton live births. In a subset, dual-energy X-ray absorptiometry (DXA) measurements of bone area (BA), bone mineral content (BMC) and areal bone mineral density (aBMD) lumbar spine and total hip were obtained in the parent/offspring (aged 8-9 years) trios. Another subset of children (aged 6-7 years), and their parents, had peripheral quantitative computed tomography (pQCT; 4% and 38% tibia) measures. Using multivariable linear regression we examined relationships between mother/father and offspring, adjusting for parental age, habitual walking speed and education; offspring age and sex; and the corresponding bone measure in the other parent (β-coefficients (95%CI) unit/unit for each bone measure). RESULTS Data were available for 260 trios with DXA and 99 with pQCT. There were positive associations for BA, BMC and aBMD between either parent and offspring. Mother-child associations were of greater magnitude than father-child; for example, mother-child aBMD (β = 0.26 g·cm-2/g·cm-2 (0.21,0.32)) and father-child aBMD (β = 0.16 g·cm-2/g·cm-2 (0.11,0.21)), P-difference in β = 0.007. In the subset with pQCT there was a positive association for mother-offspring 4% tibial total area (β = 0.33 mm2/mm2 (0.17,0.48)), but little evidence of a father-offspring association (β = -0.06 mm2/mm2 (-0.17,0.06)). In contrast offspring 38% cortical density was more strongly associated with this measure in fathers (β = 0.48 mg·cm-3/mg·cm-3 (0.15,0.82)) than mothers (β = 0.27 mg·cm-3/mg·cm-3 (-0.03,0.56)). In general mother-father differences were attenuated by adjustment for height. CONCLUSIONS Whilst offspring bone measures are independently associated with those of either parent, the magnitude of the association is often greater for maternal than paternal relationships. These findings are consistent with an in utero influence on offspring growth but might also reflect genetic and/or epigenetic parent of origin effects. SUMMARY In an established parent-offspring cohort, associations between parent and offspring bone indices were generally greater in magnitude for mother-offspring than father-offspring relationships.
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Affiliation(s)
- C R Holroyd
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Rheumatology Department, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - S Carter
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - S R Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - S D'Angelo
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E M Curtis
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Rheumatology Department, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - R J Moon
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; Paediatric Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - J H Davies
- Paediatric Endocrinology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - K A Ward
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - E M Dennison
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - H M Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - K M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK; NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - N C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
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50
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Watson D, Kehoe SH, Erzse A, Compaoré A, Debpuur C, Nonterah EA, Sorgho H, Norris SA, Hofman KJ, Lawrence W, Newell ML, Godfrey KM, Ward KA, Barker M. Community perspectives on maternal and child health during nutrition and economic transition in sub-Saharan Africa. Public Health Nutr 2021; 24:3710-3718. [PMID: 32928324 PMCID: PMC10195324 DOI: 10.1017/s1368980020003018] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 07/03/2020] [Accepted: 07/24/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To explore community perceptions on maternal and child nutrition issues in Sub-Saharan Africa. DESIGN Thirty focus groups with men and women from three communities facilitated by local researchers. SETTING One urban (Soweto, South Africa) and two rural settings (Navrongo, Ghana and Nanoro, Burkina Faso) at different stages of economic transition. PARTICIPANTS Two hundred thirty-seven men and women aged 18-55 years, mostly subsistence farmers in Navrongo and Nanoro and low income in Soweto. RESULTS Differences in community concerns about maternal and child health and nutrition reflected the transitional stage of the country. Community priorities revolved around poor nutrition and hunger caused by poverty, lack of economic opportunity and traditional gender roles. Men and women felt they had limited control over food and other resources. Women wanted men to take more responsibility for domestic chores, including food provision, while men wanted more involvement in their families but felt unable to provide for them. Solutions suggested focusing on ways of increasing control over economic production, family life and domestic food supplies. Rural communities sought agricultural support, while the urban community wanted regulation of the food environment. CONCLUSIONS To be acceptable and effective, interventions to improve maternal and child nutrition need to take account of communities' perceptions of their needs and address wider determinants of nutritional status and differences in access to food reflecting the stage of the country's economic transition. Findings suggest that education and knowledge are necessary but not sufficient to support improvements in women's and children's nutritional status.
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Affiliation(s)
- Daniella Watson
- Global Health Research Institute, School of Human Development and Health, Faculty of Medicine, University of Southampton, SouthamptonSO16 5YA, UK
| | - Sarah H Kehoe
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Agnes Erzse
- SAMRC Centre for Health Economics and Decision Science, PRICELESS, University of Witwatersrand School of Public Health, Faculty of Health Sciences, Johannesburg, South Africa
| | - Adélaïde Compaoré
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso
| | - Cornelius Debpuur
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | | | - Hermann Sorgho
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Nanoro, Burkina Faso
| | - Shane A Norris
- Global Health Research Institute, School of Human Development and Health, Faculty of Medicine, University of Southampton, SouthamptonSO16 5YA, UK
- SAMRC Developmental Pathways for Health Research Unit, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Karen J Hofman
- SAMRC Centre for Health Economics and Decision Science, PRICELESS, University of Witwatersrand School of Public Health, Faculty of Health Sciences, Johannesburg, South Africa
| | - Wendy Lawrence
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - Marie-Louise Newell
- Global Health Research Institute, School of Human Development and Health, Faculty of Medicine, University of Southampton, SouthamptonSO16 5YA, UK
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospitals Southampton NHS Foundation Trust, Southampton, UK
| | - Kate A Ward
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Mary Barker
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University Hospitals Southampton NHS Foundation Trust, Southampton, UK
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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