Descriptive Statistics of Socio-demographic variables (n = 25,501).

<p>Descriptive Statistics of Socio-demographic variables (n = 25,501).</p

Unadjusted and adjusted associations between housework and two-week illness in retired older adults (n = 25,501).

<p>Note: *<i>P<</i>0.05;</p>**<p><i>P<</i>0.01;</p>***<p><i>P<</i>0.001 (two-tailed test).</p

Descriptive Statistics of Housework and two-week illness (n = 25,501).

<p>Descriptive Statistics of Housework and two-week illness (n = 25,501).</p

Association between sleep-wake habits and use of health care services of middle-aged and elderly adults in China.

OBJECTIVE: To examine the relationship between sleep-wake habits and the use of health care services. RESULTS: The proportions of the participants who were "early to bed" and "late to bed" were 48.7% and 51.3%, respectively. In the full sample, compared with those who were early to bed and early to rise, participants who went to bed late were more likely to report physician visits (late to bed and early to rise: OR = 1.13, 95% CI: 1.08-1.19, late to bed and late to rise: OR = 1.27, 95% CI: 1.18-1.38, respectively). We found no significant association between sleep-wake habits and the number of hospitalization. CONCLUSIONS: Those middle-aged and elderly people who stayed up late and got up late are more likely to visit the doctors than those who went to bed early and got up early. METHODS: We obtained data from a cohort study of retired employees in China, and 36,601 (95.59%) involved in the present study. The participants were allocated into 4 sleep-wake habits groups: Early-bed/Early-rise, Early-bed/Late-rise, Late-bed/Early-rise, and Late-bed/Late-rise. We explored the association between sleep-wake habits with the number of physician visits and hospitalizations

MOESM2 of The draft genomes and investigation of serotype distribution, antimicrobial resistance of group B Streptococcus strains isolated from urine in Suzhou, China

Additional file 2: Figure S1. Positive results (iMLSB) in D-test. From left to right are No.10, No.11 and No.17, respectively

Additional file 1 of Equity in patient experiences of primary care in community health centers using primary care assessment tool: a comparison of rural-to-urban migrants and urban locals in Guangdong, China

Comparability of socioeconomic characteristics and health care utilization patterns by group based on different health insurance schemes before and after PSM. (DOCX 30 kb

Curcumin: a calixarene derivative micelle potentiates anti-breast cancer stem cells effects in xenografted, triple-negative breast cancer mouse models

<p>Triple-negative breast cancer (TNBC) is a heterogeneous and clinically aggressive disease with no approved targeted therapy. Curcumin has shown therapeutic potential against TNBC, but it shows low bioavailability and low efficacy when administered as a free drug. Here we describe a novel vehicle for <i>in vivo</i> delivery of curcumin based on the phosphorylated calixarene POCA4C6. Curcumin-loaded POCA4C6 micelles (CPM) were prepared using the thin-film method and they showed a unilamellar structure with an average particle size of 3.86 nm. The micelles showed high curcumin encapsulation efficiency and loading was based on liquid chromatography-tandem mass spectrometry. Studies with cell cultures suggest that CPM can sustainably release curcumin in a pH-dependent manner. The micelles efficiently inhibited proliferation, invasion, migration and tumor spheroid formation by BT-549 human breast cancer cells. These effects involved increased apoptosis and reduced levels of nuclear β-catenin and androgen receptor. After injection into tumor xenografts, CPM persisted in the tumor tissue and efficiently inhibited tumor growth without causing obvious systemic toxicity. CPM also significantly reduced levels of CD44⁺/CD133⁺ breast cancer stem cells. Our results highlight the potential of CPM as an effective therapy against TNBC.</p

The association of individual cognition and social environment of smoking with autonomy over tobacco: A survey from rural China.

Introduction: This study explores the association of individual cognition and social environment of smoking with autonomy over tobacco, providing evidence and insights to help smokers effectively prevent and reduce tobacco dependence. Methods: Data were collected from 1389 participants, aged ≥15 years, by face-toface interviews from June 2018 to November 2019 in central China. We assessed autonomy over tobacco using the Autonomy Over Smoking Scale (AUTOS), including Withdrawal Symptoms (WS), Psychological Dependence (PD) and Cueinduced Cravings (CC), and examined factors of individual cognition and social environment, as well as covariates, including demographic characteristics, health status, and smoking behavior. Results: AUTOS total score was 16.92 ± 9.05, WS score was the lowest (4.40 ± 3.36) in the three subscales, and CC score was the highest (6.88 ± 3.2). After adjustment, WS score of having a greater awareness of smoking hazards to one's own health was lower than those who had no awareness (β=0.14; 95% CI: -0.31– 0.00), and the total score of AUTOS, the score of PD and CC for those who thought smoking was ‘more helpful (high)’ to interpersonal communication were higher than ‘not helpful (not at all)’ (β=0.14; 95% CI: 0.01–0.28 with β=0.16; 95% CI: 0.02–0.29; and β=0.14; 95% CI: 0.00–0.28; respectively). Having a greater difficulty in smoking cessation was associated with higher AUTOS total and subscale scores (p Conclusions: Interventions targeting individual cognitive factors of tobacco dependence seem to be more effective in smoking cessation. Future research may explore the influence of family and workplace among social environmental factors, which may reveal the effect of a binding force.</p

Parity and the level of fasting plasma glucose.

<p>Note *P<0.05 for the comparison with women with one live birth, by using ANVOA and Dunnet’s test for <i>post hoc</i> analysis.</p

Baseline characteristics of study participants of 14196 women by parity.

<p>Note Abbreviations: y, years; DM, diabetes mellitus, BMI, body mass index.</p><p>Data are means ± SD or n (%) unless otherwise indicated.</p><p>*ANVOA test numerical data.</p>‡<p>χ² test for categorical data.</p