Publications by authors named "Maxine E Whelan"

Problem: Although social media can be an accessible option for women to receive support, there is increasing awareness of the negative mental health impacts of social media use during the postpartum period. Idealistic portrayals on social media have been shown to lead to body dissatisfaction and low mood.

Background: The beginning of a child's life is a period of significant physical, mental and social adjustment for a mother.

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Background: The variety of innovations to traditional centre-based pulmonary rehabilitation (CBPR), including different modes of delivery and adjuncts, are likely to lead to differential responses in physical activity, sedentary behaviour and sleep.

Objectives: To examine the relative effectiveness of different pulmonary rehabilitation-based interventions on physical activity, sedentary behaviour and sleep.

Methods: Randomised trials in chronic respiratory disease involving pulmonary rehabilitation-based interventions were systematically searched for.

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Objective: The aim was to evaluate the impact of the COVID-19 lockdown on physical activity (PA) and asthma symptom control in children.

Methods: We conducted a single-cohort observational study on 22 children with a median age of 9 (8-11) years with a diagnosis of asthma being included in the study. Participants were asked to wear a PA tracker for 3 months; during the same 3-month period, the Paediatric Asthma Diary (PAD) was administered daily and the Asthma Control (AC) Questionnaire together with the mini-Paediatric Asthma Quality of Life (AQoL) Questionnaire administered at weekly intervals.

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Introduction: Health care professionals are well-positioned to encourage physical activity. The Clinical Champions Physical Activity Training Program (CCTP) aimed to increase population-level physical activity across England. This study aimed to (1) evaluate CCTP uptake and utilization; (2) explore CCTP fidelity, barriers, facilitators, and satisfaction; and (3) provide recommendations for program improvement.

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Background: The benefits of physical activity for preventing and managing long-term health conditions are well established and health care professionals could promote physical activity to patients. The current study aims to evaluate the impact of the Clinical Champions Physical Activity Training Program.

Methods: Health care professionals attend a one-off in-person training session delivered by a trained Clinical Champion.

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Women with past gestational diabetes mellitus (GDM) are at risk of subsequent type 2 diabetes and adverse cardiovascular events. Digital and telemedicine interventions targeting weight loss and reductions in body mass index (BMI) may help reduce risk for women with GDM. The aim was to compare the effectiveness of digital or telemedicine intervention with usual care.

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Background: Mobile health technologies have advanced to now allow monitoring of the acute physiological responses to lifestyle behaviours. Our aim was to explore how people engaged with real-time feedback on their physical activity and glucose levels over several weeks.

Methods: Semi-structured interviews with 26 participants (61.

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Article Synopsis
  • Flash glucose monitoring relies on user compliance, and missing data can impact the accuracy and reliability of glucose tracking, particularly when assessing glycaemic variability.
  • A study found that while mean and continuous net glycaemic action (CONGA) were largely unaffected by data loss, other metrics like standard deviation and mean amplitude of glycaemic excursions (MAGE) showed larger errors as missing data increased.
  • Researchers and clinicians should be cautious when interpreting glycaemic variability measures in nondiabetic individuals, as reliability varies with data loss; mean and CONGA remain reliable even with some missing data.
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Background: Comorbid anxiety and depression can add to the complexity of managing treatment for people living with chronic obstructive pulmonary disease (COPD). Monitoring mood has the potential to identify individuals who might benefit from additional support and treatment.

Objective: We used data from the sElf-management anD support proGrammE (EDGE) trial to examine: (1) the extent to which the mood-monitoring components of a mobile health system for patients with COPD were used by participants; (2) the levels of anxiety and depression symptoms among study participants; (3) the extent to which videos providing advice about coping with low mood were viewed; and (4) the characteristics of participants with differing levels of mood and utilization of mood monitoring.

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Background: Self-monitoring of behavior (namely, diet and physical activity) and physiology (namely, glucose) has been shown to be effective in type 2 diabetes (T2D) and prediabetes prevention. By combining self-monitoring technologies, the acute physiological consequences of behaviors could be shown, prompting greater consideration to physical activity levels today, which impact the risk of developing diabetes years or decades later. However, until recently, commercially available technologies have not been able to show individuals the health benefits of being physically active.

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Hypertension is the leading risk factor for death globally. A significant percentage of patients admitted to hospital have undiagnosed hypertension, yet recognition of elevated blood pressure (BP) in hospital and referral for post-discharge assessment are poor. Physician perception that elevated inhospital BP is attributable to anxiety, pain, or white coat syndrome may underlie an expectation that BP will normalize following discharge.

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Background: Acute reductions in postprandial glucose excursions because of movement behaviors have been demonstrated in experimental studies but less so in free-living settings.

Objective: 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.

Methods: This study measured physical activity, sedentary time, and interstitial glucose continuously over 13 days in 29 participants (mean age in years: 44.

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Background: The recent surge in commercially available wearable technology has allowed real-time self-monitoring of behavior (eg, physical activity) and physiology (eg, glucose levels). However, there is limited neuroimaging work (ie, functional magnetic resonance imaging [fMRI]) to identify how people's brains respond to receiving this personalized health feedback and how this impacts subsequent behavior.

Objective: Identify regions of the brain activated and examine associations between activation and behavior.

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Introduction: Increasing physical activity (PA) reduces the risk of developing diabetes, highlighting the role of preventive medicine approaches. Changing lifestyle behaviours is difficult and is often predicated on the assumption that individuals are willing to change their lifestyles today to reduce the risk of developing disease years or even decades later. The self-monitoring technologies tested in this study will present PA feedback in real time, parallel with acute physiological data.

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Unhealthy behaviors, including smoking, poor nutrition, excessive alcohol consumption, physical inactivity and sedentary lifestyles, are global risk factors for non-communicable diseases and premature death. Functional magnetic resonance imaging (fMRI) offers a unique approach to optimize health messages by examining how the brain responds to information relating to health. Our aim was to systematically review fMRI studies that have investigated variations in brain activation in response to health messages relating to (i) smoking; (ii) alcohol consumption; (iii) physical activity; (iv) diet; and (v) sedentary behavior.

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