Changes in physical activity across pregnancy among Chinese women: a longitudinal cohort study

Abstract Background Sufficient physical activity (PA) during pregnancy is beneficial for a woman’s health; however, the PA levels of Chinese women at different pregnancy stages are not clear. The aim of our study was to investigate PA changes during pregnancy and the association of population characteristics with PA change among Chinese women. Methods Data were obtained from 2485 participants who were enrolled in the multicentre prospective Chinese Pregnant Women Cohort Study. PA level was assessed in early pregnancy (mean = 10, 5–13 weeks of gestation) and again in mid-to-late pregnancy (mean = 32, 24–30 weeks of gestation) using the International Physical Activity Questionnaire short form (IPAQ-SF). Sufficient PA (≥ 600 MET min/week) in early pregnancy and insufficient PA in mid-to-late pregnancy indicated decreasing PA. Insufficient PA in early pregnancy and sufficient PA in mid-to-late pregnancy indicated increasing PA. The associations between demographic, pregnancy and health characteristics and PA changes were examined by multivariable logistic regression. Results Total energy expenditure for PA increased significantly from early (median = 396 MET min/week) to mid-to-late pregnancy (median = 813 MET min/week) (P < 0.001), and 55.25% of the participants eventually had sufficient PA. Walking was the dominant form of PA. Women with sufficient PA levels in early pregnancy were more likely to have sufficient PA in mid-to-late pregnancy (OR 1.897, 95% CI 1.583–2.274). Women in West China and those in Central China were most and least likely, respectively, to have increasing PA (OR 1.387, 95% CI 1.078–1.783 vs. OR 0.721, 95% CI 0.562–0.925). Smoking was inversely associated with increasing PA (OR 0.480, 95% CI 0.242–0.955). Women with higher educational levels were less likely to have decreasing PA (OR 0.662, 95% CI 0.442–0.991). Conclusions PA increased as pregnancy progressed, and walking was the dominant form of PA among Chinese women. Further research is needed to better understand correlates of PA change

Hacking occupational therapy tools for center-based care

10.1145/3197391.32054212018 Designing Interactive Systems Conference111-11

Maternal choices and preferences for screening strategies of gestational diabetes mellitus: A exploratory study using discrete choice experiment

Aims: This study aimed to investigate maternal preferences for gestational diabetes mellitus (GDM) screening options in rural China to identify an optimal GDM screening strategy. Methods: Pregnant women at 24–28 gestational weeks were recruited from Shandong province, China. A discrete choice experiment (DCE) was conducted to elicit pregnant women's preferences for GDM screening strategy defined by five attributes: number of blood draws, out-of-pocket costs, screening waiting-time, number of hospital visits, and positive diagnosis rate. A mixed logistic model was employed to quantify maternal preferences, and to estimate the relative importance of included attributes in determining pregnant women's preferences for two routinely applied screening strategies (“one-step”: 75 g oral glucose tolerance test [OGTT] and “two-step”: 50 g glucose challenge-test plus 75 g OGTT). Preference heterogeneity was also investigated. Results: N = 287 participants completed the DCE survey. All five predefined attributes were associated with pregnant women's preferences. Diagnostic rate was the most influential attribute (17.5 vs. 8.0%, OR: 2.89; 95%CI: 2.10 to 3.96). When changes of the attributes of “two-step” to “one-step” strategies, women's uptake probability from full “two-step” to “one-step” significantly increased with 71.3% (95%CI: 52.2 to 90.1%), but no significant difference with the first step of “two-step” (−31.0%, 95%CI: −70.2 to 8.1%). Conclusion: Chinese pregnant women preferred the “one-step” screening strategy to the full “two-step” strategy, but were indifferent between “one-step” and the first step of “two-step” strategies.</p

A high frequency SiC nanobeam resonator with ultra-sensitivity

Nanomechanical resonator based on nanomaterials has great potential for high sensitive, high resolution and negligible energy consumed sensing devices. In this work, high frequency SiC nanobeam resonators with a diameter of ∼100 nm and with lengths of tens of micrometers were designed and demonstrated, which was produced based on the high quality monocrystal 3C-SiC nanowire material with high aspect ratio characteristics. The resonance behaviors of the nanobeam resonator was studied using an integrated mixing circuit measurement system with the pressure from 10−3 to 10−1 Torr. It was observed that the resonant frequency was up to 9.16 MHz, which was a distinguished essential feature for high sensitivity detection. The tunability of SiC nanobeam resonators was about 22%, which can be conveniently controlled by adjusting DC voltage on the gate. It was examined that the detection value of the SiC nanobeam resonator can be as low as zeptogram, which indicated its ultra-sensitive mass detection behaviors. The results show that the SiC nanobeam resonator has high resonant frequency, large tunability and high sensitivity, which is expected to be a high-performance device for biosensing and mechanical sensing

A Zinc Oxide Nanobeam Resonator for Ultrasensitivity Mass Detection

Abstract Nanomechanical resonators are expected to be exceptional sensors for high‐performance mass detection, mechanical sensing, and signal processing. In this paper, zinc oxide nanobeam resonators are produced based on single‐crystal ZnO nanowire, which has a typical diameter down to a few nanometers and the length of hundreds of micrometers. This resonator has the characteristics of high aspect ratio nanobeam structure and reliable material. It is observed that the resonance frequency of ZnO nanobeam resonator is up to 1.47 MHz with a high quality factor of 2300 at room temperature, which will play a key role in high‐sensitivity mass detection. The mass detection of ZnO nanobeam resonator is demonstrated by depositing platinum atoms on the middle of the beam, which shows a sensitivity of 11.13 Hz fg−1 indicating its ultrasensitive mass detection capability. In addition, according to the experiment, the molecular dynamics simulations for the resonator is established, which shows that the detection resolution down to 0.2 yg at room temperature can be realized based on this resonator. The results show that the ZnO nanobeam resonator has enormous potential in ultrasensitive detection for biosensing and gas sensing

Simulation of Cone-Jet and Micro-Drip Regimes and Printing of Micro-Scale Patterns on PET Substrate

The fabrication of various micro-patterns on polymer insulating substrates is a current requirement in micro-electromechanical system (MEMS) and packaging sectors. In this paper, we use electrohydrodynamic jet (E-Jet) printing to create multifaceted and stable micro-patterns on a polyethylene terephthalate (PET) substrate. Initially, simulation was performed to investigate optimized printing settings in phase field physics for the usage of two distinct functional inks. A series of simulation experiments was conducted, and it was determined that the following parameters are optimised: applied pressure of 40 kPa, high pulse voltage of 1.95 kV, low dc voltage of 1.60 kV, duty cycle of 80%, pulse frequency of 60 Hz, printing height of 0.25 mm, and printing speed of 1 mm/s. Then, experiments showed that adjusting a pressure value of 40 kPa and regulating the SEMICOSIL988/1 K ink to print micro-drops on a polymer substrate with a thickness of 1 mm prevents coffee staining. The smallest measured droplet size was 200 &mu;m. Furthermore, underfill (UF 3808) ink was driven with applied pressure to 50 kPa while other parameters were left constant, and the minimum size of linear patterns was printed to 105 &mu;m on 0.5-mm-thick PET substrate. During the micro-drip and cone-jet regimes, the consistency and diameter of printed micro-structures were accurately regulated at a pulse frequency of 60 Hz and a duty cycle of 80%

Season Traveller: Multisensory Narration for Enhancing the Virtual Reality Experience

10.1145/3173574.3174151CHI Conference on Human Factors in Computing Systems (CHI)2018-Aprilcomplete