Introduction: Coronavirus disease (COVID-19) has been declared a global pandemic. In this unprecedented situation, the intimate relationship, sexual behavior, and family functions of partners have also undergone unique changes. There are few reports on whether sexual behavior and family function affect intimate relationships between partners, especially among people aged 18 to 44 years. Aim: To analyze the influence of sociodemographic characteristics, family function, and changes in sexual behavior on male-female intimacy, the independent contributions of the aforementioned factors in this population group are required to be further investigated. Methods: In the present study, 284 Chinese citizens aged 18-44 years completed the online questionnaire. The univariate analysis and cluster multiple linear regression were used to analyze the associations between sociodemographic factors, sexual-behavior changes, family function, and male-female intimacy. Main Outcome Measure: Family adaptation, partnership, growth, affection, resolve (APGAR) Scale and Relationship Assessment Scale were used to evaluate participants' family function and their intimacy. Details of the participants (sociodemographic and sexual factors) were obtained. Results: The summary scores, with Relationship Assessment Scale and APGAR scales, were 27.19 ± 4.49 and 6.76 ± 2.28, respectively. About 43.3% of participants reported a decrease in sexual frequency. There were considerable differences among age, education level, sexual desire, sexual satisfaction, quality of sexual life, family function with male-female intimacy (P < .05). The sexual satisfaction and intimacy demonstrated a significant positive correlation (P < .05) by cluster multiple linear regression analysis. Compared with those who had a sexual life of mediocre quality, respondents who experienced a good quality sexual life had relatively higher scores in intimacy. The independent contributions of sociodemographic factors, sexual behavior factors, and family function in male-female intimacy were 13.0%, 38.2%, and 48.8%, respectively. Conclusions: Sexual behavior factors and family function were important independent determinants of partner intimacy among people aged 18-44 years. It can provide supportive information for health care to develop intervention plans and services to promote the harmonious development of intimate relationship.

Background Lipid metabolism disorders play a critical role in the progression of non-alcoholic fatty liver disease (NAFLD). However, the number of studies on the relationships among blood lipid-related indexes and NAFLD is limited, and few studies have emphasized the comparison of blood lipid-related indexes in the same population to identify the optimal index for NAFLD screening. This study aimed to investigate the relationships among several blood lipid-related indexes and NAFLD, and to find the index with the best screening value for NAFLD. Methods Based on a general health examination at community health service agencies in the Pearl River Delta region of China in 2015, 3239 women were recruited in this cross-sectional study. The relationships among blood lipid-related indexes and NAFLD were assessed separately by constructing multivariate logistic regression models. Receiver operating characteristic analysis was used to evaluate and compare the screening abilities of the indexes for NAFLD. All data analyses were conducted in SPSS and MedCalc software. Results Whether in the crude model or each model adjusted for possible confounding factors, the risk of NAFLD significantly rose with increasing cardiometabolic index (CMI), triglyceride glucose index (TyG), triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C) ratio (TG/HDL-C), total cholesterol (TC) to HDL-C ratio (TC/HDL-C) and low-density lipoprotein (LDL-C) to HDL-C ratio (LDL-C/HDL-C). Moreover, the area under the curve (AUC) of CMI was 0.744, which was better than that of TyG (0.725), TG/HDL-C (0.715), TC/HDL-C (0.650), and LDL-C/HDL-C (0.644) (P < 0.001). In addition, the optimal cut-off points were 0.62 for CMI, 8.55 for TyG, 1.15 for TG/HDL-C, 4.17 for TC/HDL-C, and 2.22 for LDL-C/HDL-C. Conclusions CMI is easy to obtain, is a recommended index in the screening of NAFLD in women and may be useful for detecting populations that are at high risk of NAFLD.

BackgroundThis study was designed to analyze the relationship of waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), relative fat mass (RFM), lipid accumulation product (LAP) and health-related quality of life (HRQoL) in the community-dwelling population of southern China and to explore the independent contribution of socio-demographic characteristics, number of chronic diseases and anthropometric indicators to HRQoL in that population.MethodsThis community-based cross-sectional survey studied 2,663 adults aged 18 years and older. HRQoL was assessed by the 3-level EuroQol 5-dimensional scale (EQ-5D-3L), and HRQoL were calculated using the Chinese EQ-5D-3L value set. The outcome variable was the EQ-5D-3L score (HRQoL). Cluster regression was used to analyse the independent contribution of each obesity indicator to HRQoL.ResultsA total of 2,663 people participated in this study, and their mean EQ-5D-3L score was 0.938 ± 0.072. In this study, according to the results of the one-way ANOVA, HRQoL was significantly different between the groups of WHtR, WHR, RFM and LAP, respectively. The independent contributions of socio-demographic factors, number of chronic diseases and anthropometric measures to HRQoL in the whole population accounted for 76.2, 7.9, and 15.9% of the total effect, respectively.ConclusionRFM and LAP were found to have a previously unreported negative impact on HRQoL in a community-dwelling population. In future studies, RFM and LAP could be used as new indicators of obesity to predict quality of life in humans.