Publications for Andrew Kingsnorth
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Journal Articles
Been, RA, Lameijer, A, Gans, ROB, van Beek, AP, Kingsnorth, AP, Choudhary, P, van Dijk, PR (2024) The impact of socioeconomic factors, social determinants, and ethnicity on the utilization of glucose sensor technology among persons with diabetes mellitus: a narrative review, Therapeutic Advances in Endocrinology and Metabolism, 15, ISSN: 2042-0188. DOI: 10.1177/20420188241236289. Kingsnorth, A, Moltchanova, E, Thomas, J, Whelan, M, Orme, M, Esliger, D, Hobbs, M (2023) Interchangeability of research and commercial wearable device data for assessing associations with cardiometabolic risk markers, Journal for the Measurement of Physical Behaviour, 6(3), pp.169-175, ISSN: 2575-6605. DOI: 10.1123/jmpb.2022-0050. Rowlands, AV, Orme, MW, Maylor, B, Kingsnorth, A, Herring, L, Khunti, K, Davies, M, Yates, T (2023) Can quantifying the relative intensity of a person’s free-living physical activity predict how they respond to a physical activity intervention? Findings from the PACES RCT, British Journal of Sports Medicine, 57(22), pp.1428-1434, ISSN: 0306-3674. DOI: 10.1136/bjsports-2023-106953. Kingsnorth, AP, Wilson, C, Choudhary, P, Griffin, TP (2023) Comparing Glucose Outcomes Following Face-to-Face and Remote Initiation of Flash Glucose Monitoring in People Living With Diabetes, Journal of Diabetes Science and Technology, 17(4), pp.887-894, DOI: 10.1177/19322968231176531. O'Mahoney, LL, Routen, A, Gillies, C, Ekezie, W, Welford, A, Zhang, A, Karamchandani, U, Simms-Williams, N, Cassambai, S, Ardavani, A, Wilkinson, TJ, Hawthorne, G, Curtis, F, Kingsnorth, AP, Almaqhawi, A, Ward, T, Ayoubkhani, D, Banerjee, A, Calvert, M, Shafran, R, Stephenson, T, Sterne, J, Ward, H, Evans, RA, Zaccardi, F, Wright, S, Khunti, K (2023) Corrigendum to “The prevalence and long-term health effects of long Covid among hospitalised and non-hospitalised populations: a systematic review and meta-analysis” (eClinicalMedicine (2023) 55, (S2589537022004916), (10.1016/j.eclinm.2022.101762), eClinicalMedicine, 59, DOI: 10.1016/j.eclinm.2023.101959. Orme, MW, Lloyd-Evans, PHI, Jayamaha, AR, Katagira, W, Kirenga, B, Pina, I, Kingsnorth, AP, Maylor, B, Singh, SJ, Rowlands, AV (2023) A Case for Unifying Accelerometry-Derived Movement Behaviors and Tests of Exercise Capacity for the Assessment of Relative Physical Activity Intensity, Journal of Physical Activity and Health, 20(4), pp.303-310, ISSN: 1543-3080. DOI: 10.1123/jpah.2022-0590. O'Mahoney, LL, Routen, A, Gillies, C, Ekezie, W, Welford, A, Zhang, A, Karamchandani, U, Simms-Williams, N, Cassambai, S, Ardavani, A, Wilkinson, TJ, Hawthorne, G, Curtis, F, Kingsnorth, AP, Almaqhawi, A, Ward, T, Ayoubkhani, D, Banerjee, A, Calvert, M, Shafran, R, Stephenson, T, Sterne, J, Ward, H, Evans, RA, Zaccardi, F, Wright, S, Khunti, K (2023) The prevalence and long-term health effects of Long Covid among hospitalised and non-hospitalised populations: A systematic review and meta-analysis, eClinicalMedicine, 55, DOI: 10.1016/j.eclinm.2022.101762. Kingsnorth, AP, Rowlands, AV, Maylor, BD, Sherar, L, Steiner, MC, Morgan, MD, Singh, SJ, Esliger, D, Orme, MW (2022) A more intense examination of the intensity of physical activity in people living with chronic obstructive pulmonary disease: Insights from threshold-free markers of activity intensity, International Journal of Environmental Research and Public Health, 19(19), 12355, ISSN: 1661-7827. DOI: 10.3390/ijerph191912355. Chauntry, A, Bishop, N, Hamer, M, Kingsnorth, A, Chen, Y-L, Paine, N (2022) Sedentary behaviour is associated with heightened cardiovascular, inflammatory and cortisol reactivity to acute psychological stress, Psychoneuroendocrinology, 141, 105756, ISSN: 0306-4530. DOI: 10.1016/j.psyneuen.2022.105756. Kingsnorth, A, Patience, M, Moltchanova, E, Esliger, D, Paine, N, Hobbs, M (2021) Changes in device-measured physical activity patterns in UK adults related to the first COVID-19 lockdown, Journal for the Measurement of Physical Behaviour, 4(3), pp.247-256, ISSN: 2575-6605. DOI: 10.1123/jmpb.2021-0005. Hobbs, M, Biddle, SJH, Kingsnorth, AP, Marek, L, Tomintz, M, Wiki, J, McCarthy, J, Campbell, M, Kingham, S (2021) Investigating the Association between Child Television Viewing and Measured Child Adiposity Outcomes in a Large Nationally Representative Sample of New Zealanders: A Cross-Sectional Study, Journal of Physical Activity and Health, 18(5), pp.524-532, ISSN: 1543-3080. DOI: 10.1123/JPAH.2020-0192. Whelan, ME, Denton, F, Bourne, CLA, Kingsnorth, A, Sherar, L, Orme, MW, Esliger, D (2021) A digital lifestyle behaviour change intervention for the prevention of type 2 diabetes: a qualitative study exploring intuitive engagement with real-time glucose and physical activity feedback, BMC Public Health, 21(1), 130, ISSN: 1471-2458. DOI: 10.1186/s12889-020-09740-z. Kingsnorth, A, Whelan, ME, Orme, MW, Routen, AC, Sherar, LB, Esliger, D (2020) Resistance to data loss from the Freestyle Libre: Impact on glucose variability indices and recommendations for data analysis, Appl Physiol Nutr Metab, DOI: 10.1139/apnm-2020-0386. Whelan, ME, Orme, MW, Kingsnorth, A, Sherar, L, Denton, FL, Esliger, D (2019) Examining the use of glucose and physical activity self-monitoring technologies in individuals at moderate to high risk of developing type 2 diabetes: randomized trial, JMIR mHealth and uHealth, 7(10), ARTN e14195, ISSN: 2291-5222. DOI: 10.2196/14195. Orme, MW, Steiner, MC, Morgan, MD, Kingsnorth, AP, Esliger, DW, Singh, SJ, Sherar, LB (2019) 24-hour accelerometry in COPD: Exploring physical activity, sedentary behavior, sleep and clinical characteristics, International Journal of Chronic Obstructive Pulmonary Disease, Volume 14, pp.419-430, DOI: 10.2147/copd.s183029. Magistro, D, Sessa, S, Kingsnorth, A, Loveday, A, Simeone, A, Zecca, M, Esliger, D (2018) A novel algorithm for determining the contextual characteristics of movement behaviors by combining accelerometer features and wireless beacons: development and implementation, JMIR mHealth and uHealth, ISSN: 2291-5222. DOI: 10.2196/mhealth.8516. Kingsnorth, A, Whelan, ME, Sanders, J, Sherar, L, Esliger, D (2018) Using digital health technologies to understand the association between movement behaviors and interstitial glucose: Exploratory analysis, Journal of Medical Internet Research, 20(5), DOI: 10.2196/mhealth.9471. Orme, MW, Sherar, L, Morgan, M, Steiner, M, Esliger, D, Kingsnorth, A, Singh, S (2018) The influence of South Asian ethnicity on the incremental shuttle walk test in UK adults, Chron Respir Dis, pp.1479972318785832-1479972318785832, ISSN: 1479-9723. DOI: 10.1177/1479972318785832. Whelan, M, Morgan, PS, Sherar, L, Kingsnorth, A, Magistro, D, Esliger, D (2017) Brain activation in response to personalized behavioral and physiological feedback from self-monitoring technology: pilot study, Journal of Medical Internet Research, 19(11), ISSN: 1438-8871. DOI: 10.2196/jmir.8890. Pearson, R, Esliger, D, Petherick, E, Evans, RA, Greening, N, James, B, Kingsnorth, A, Morgan, M, Orme, MW, Sherar, L, Singh, S, Toms, N, Steiner, M (2017) Influence of muscle mass in the assessment of lower limb strength in COPD: validation of the prediction equation, Thorax, pp.2016-209870, ISSN: 0040-6376. DOI: 10.1136/thoraxjnl-2016-209870. Whelan, M, Kingsnorth, A, Orme, MW, Sherar, L, Esliger, D (2017) Sensing interstitial glucose to nudge active lifestyles (SIGNAL): Feasibility of combining novel self-monitoring technologies for persuasive behaviour change, BMJ Open, 7(10), DOI: 10.1136/bmjopen-2017-018282. Whelan, M, Morgan, PS, Sherar, L, Kingsnorth, A, Magistro, D, Esliger, D (2017) Metadata Correction: Brain activation in response to personalized behavioral and physiological feedback from self-monitoring technology: Pilot study, J Med Internet Res, 19(12), p.430, DOI: 10.2196/jmir.9426. Orme, MW, Esliger, DW, Kingsnorth, A, Steiner, M, Singh, S, Malcolm, D, Morgan, M, Sherar, LB (2016) Physical activity and respiratory health (PhARaoH): Data from a cross-sectional study, Open Health Data, 4(1), pp.4-4, DOI: 10.5334/ohd.28.Conferences
Orme, M, Singh, S, Steiner, M, Morgan, M, Kingsnorth, A, Esliger, D, Sherar, L (2017) Cross-sectional characteristics of individuals with mild-moderate COPD reporting contrasting self-reported symptom burden. In , EUROPEAN RESPIRATORY JOURNAL. DOI: 10.1183/1393003.congress-2017.PA3674. Jones, A, Sherar, L, Orme, M, Morgan, M, Steiner, M, Kingsnorth, A, Evans, R, Esliger, D, Singh, S (2017) Cardio-metabolic profile, function and physical activity in mild-moderate COPD patients. In , EUROPEAN RESPIRATORY JOURNAL. DOI: 10.1183/1393003.congress-2017.PA933. Jones, A, Sherar, L, Esliger, D, Kingsnorth, A, Orme, M, Morgan, M, Evans, R, Steiner, M, Singh, S (2017) Exercise capacity, physical activity and sedentary levels in overweight COPD and Non-COPD adults. In , EUROPEAN RESPIRATORY JOURNAL. DOI: 10.1183/1393003.congress-2017.PA4908. Pearson, R, Esliger, D, Petherick, E, Sherar, L, James, B, Evans, RA, Greening, N, Kingsnorth, AP, Orme, MW, Morgan, M, Singh, S, Toms, N, Steiner, M (2016) The influence of muscle mass in the assessment of lower limb strength in COPD [Abstract]. In British Thoracic Society Winter Meeting 2016, QEII Centre Broad Sanctuary Westminster London SW1P 3EE. DOI: 10.1136/thoraxjnl-2016-209333.190. Orme, M, Esliger, D, Morgan, M, Singh, S, Steiner, M, Kingsnorth, A, Sherar, L (2015) Discordant symptom severity in COPD: The PHAROAH study. In , EUROPEAN RESPIRATORY JOURNAL. DOI: 10.1183/13993003.congress-2015.PA4054.Chapters
Mackintosh, KA, Esliger, DW, Kingsnorth, AP, Loveday, A, Crossley, SGM, McNarry, MA (2020) The role of technology in promoting physical activity in youth. In The Routledge Handbook of Youth Physical Activity, pp.686-711, ISBN: 9781000050660. Esliger, D, Kingsnorth, A, Sherar, L (2017) Measuring Physical Activity. In Routledge Handbook of Physical Activity Policy and Practice, Routledge International Handbooks, pp.153-153, ISBN: 9781138943087.Other
Kingsnorth, AP, Whelan, ME, Sanders, JP, Sherar, LB, Esliger, DW (2017) Using Digital Health Technologies to Understand the Association Between Movement Behaviors and Interstitial Glucose: Exploratory Analysis (Preprint),Acute reductions in postprandial glucose excursions because of movement behaviors have been demonstrated in experimental studies but less so in free-living settings.
The objective of this study was to explore the nature of the acute stimulus-response model between accelerometer-assessed physical activity, sedentary time, and glucose variability over 13 days in nondiabetic adults.
This study measured physical activity, sedentary time, and interstitial glucose continuously over 13 days in 29 participants (mean age in years: 44.9 [SD 9.1]; female: 59%, 17/29; white: 90%, 26/29; mean body mass index: 25.3 [SD 4.1]) as part of the Sensing Interstitial Glucose to Nudge Active Lifestyles (SIGNAL) research program. Daily minutes spent sedentary, in light activity, and moderate to vigorous physical activity were associated with daily mean glucose, SD of glucose, and mean amplitude of glycemic excursions (MAGE) using generalized estimating equations.
After adjustment for covariates, sedentary time in minutes was positively associated with a higher daily mean glucose (mmol/L; beta=0.0007; 95% CI 0.00030-0.00103; P<.001), SD of glucose (mmol/L; beta=0.0006; 95% CI 0.00037-0.00081; P<.001), and MAGE (mmol/L; beta=0.002; 95% CI 0.00131-0.00273; P<.001) for those of a lower fitness. Additionally, light activity was inversely associated with mean glucose (mmol/L; beta=−0.0004; 95% CI −0.00078 to −0.00006; P=.02), SD of glucose (mmol/L; beta=−0.0006; 95% CI −0.00085 to −0.00039; P<.001), and MAGE (mmol/L; beta=−0.002; 95% CI −0.00285 to −0.00146; P<.001) for those of a lower fitness. Moderate to vigorous physical activity was only inversely associated with mean glucose (mmol/L; beta=−0.002; 95% CI −0.00250 to −0.00058; P=.002).
Evidence of an acute stimulus-response model was observed between sedentary time, physical activity, and glucose variability in low fitness individuals, with sedentary time and light activity conferring the most consistent changes in glucose variability. Further work is required to investigate the coupling of movement behaviors and glucose responses in larger samples and whether providing these rich data sources as feedback could induce lifestyle behavior change.