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101. Exploring changes, and factors associated with changes, in behavioural determinants from a low-cost, scalable education intervention about knee osteoarthritis: An observational cohort study.

102. Barriers and facilitators to the availability of efficacious self-directed digital health tools for adults living with cancer and their caregivers: A systematic literature review and author survey study.

103. eHealth interventions targeting nutrition, physical activity, sedentary behavior, or obesity in adults: A scoping review of systematic reviews.

104. What do cancer survivors and their health care providers want from a healthy living program? Results from the first round of a co-design project.

105. Examining the Priorities, Needs and Preferences of Men with Metastatic Prostate Cancer in Designing a Personalised eHealth Exercise Intervention.

106. How do people with knee pain from osteoarthritis respond to a brief video delivering empowering education about the condition and its management?

107. Acceptability of digital health interventions: embracing the complexity.

108. Usability, Acceptability, and Safety Analysis of a Computer-Tailored Web-Based Exercise Intervention (ExerciseGuide) for Individuals With Metastatic Prostate Cancer: Multi-Methods Laboratory-Based Study.

109. SARS-CoV-2 can recruit a heme metabolite to evade antibody immunity.

110. The Association Between Antibody Response to Severe Acute Respiratory Syndrome Coronavirus 2 Infection and Post-COVID-19 Syndrome in Healthcare Workers.

111. Quality, Features, and Presence of Behavior Change Techniques in Mobile Apps Designed to Improve Physical Activity in Pregnant Women: Systematic Search and Content Analysis.

112. Inflammatory profiles across the spectrum of disease reveal a distinct role for GM-CSF in severe COVID-19.

113. Are web-based personally tailored physical activity videos more effective than personally tailored text-based interventions? Results from the three-arm randomised controlled TaylorActive trial.

114. Examining moderators of the effectiveness of a web- and video-based computer-tailored physical activity intervention.

115. The Role of Behavioral Science in Personalized Multimodal Prehabilitation in Cancer.

116. Asymptomatic Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection in a Rehabilitation Facility: Evolution of the Presence of Nasopharyngeal SARS-CoV-2 and Serological Antibody Responses.

117. SARS-CoV-2 recruits a haem metabolite to evade antibody immunity.

118. Evaluating a web- and telephone-based personalised exercise intervention for individuals living with metastatic prostate cancer (ExerciseGuide): protocol for a pilot randomised controlled trial.

119. Patterns of physical activity, sitting time, and sleep in Australian adults: A latent class analysis.

120. Optimising Web-Based Computer-Tailored Physical Activity Interventions for Prostate Cancer Survivors: A Randomised Controlled Trial Examining the Impact of Website Architecture on User Engagement.

121. Evidence Regarding Automatic Processing Computerized Tasks Designed For Health Interventions in Real-World Settings Among Adults: Systematic Scoping Review.

122. A Physical Activity and Diet Program Delivered by Artificially Intelligent Virtual Health Coach: Proof-of-Concept Study.

123. Moderators of Exercise Effects on Cancer-related Fatigue: A Meta-analysis of Individual Patient Data.

124. A systematic review of the unmet supportive care needs of men on active surveillance for prostate cancer.

125. Identifying the exercise-based support needs and exercise programme preferences among men with prostate cancer during active surveillance: A qualitative study.

126. Should I sit or stand: likelihood of adherence to messages about reducing sitting time.

127. Characteristics of Adopters of an Online Social Networking Physical Activity Mobile Phone App: Cluster Analysis.

130. Challenges and solutions for N-of-1 design studies in health psychology.

131. A systematic review of the feasibility, acceptability, and efficacy of online supportive care interventions targeting men with a history of prostate cancer.

132. A Test of How Australian Adults Allocate Time for Physical Activity.

133. The Effectiveness of a Web-Based Computer-Tailored Physical Activity Intervention Using Fitbit Activity Trackers: Randomized Trial.

134. Can you elaborate on that? Addressing participants' need for cognition in computer-tailored health behavior interventions.

135. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies.

136. Targeting Exercise Interventions to Patients With Cancer in Need: An Individual Patient Data Meta-Analysis.

137. Examining the Correlates of Online Health Information-Seeking Behavior Among Men Compared With Women.

138. Species-specific low plasma glucose in fish is associated with relatively high tissue glucose content and is inversely correlated with cardiac glycogen content.

139. A systematic review of physical activity-based behaviour change interventions reaching men with prostate cancer.

140. Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis.

141. Examining the accessibility of high-quality physical activity behaviour change support freely available online for men with prostate cancer.

142. Development and pilot evaluation of a clinic-based mHealth app referral service to support adult cancer survivors increase their participation in physical activity using publicly available mobile apps.

143. Reflective and Non-conscious Responses to Exercise Images.

144. An investigation into regional medical practitioners' knowledge of exercise during pregnancy guidelines.

145. Designing more engaging computer-tailored physical activity behaviour change interventions for breast cancer survivors: lessons from the iMove More for Life study.

146. Audiometric Testing With Pulsed, Steady, and Warble Tones in Listeners With Tinnitus and Hearing Loss.

147. Low levels of extracellular glucose limit cardiac anaerobic metabolism in some species of fish.

148. Activity Trackers Implement Different Behavior Change Techniques for Activity, Sleep, and Sedentary Behaviors.

149. Impact of increasing social media use on sitting time and body mass index.

150. Feasibility, acceptability and efficacy of a web-based computer-tailored physical activity intervention for pregnant women - the Fit4Two randomised controlled trial.

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