Association between movement behavior patterns and cardiovascular risk among Chinese adults aged 40-75: a sex-specific latent class analysis.

BACKGROUND: Cardiovascular disease (CVD) is a major global health threat, particularly in China, contributing to over 40% of deaths. While sleep behaviors, sedentary behaviors, and physical activities are recognized as independent lifestyle risk factors for CVD, there remains limited understanding of specific movement behavior patterns and their CVD risks, especially considering sex-specific differences. This study examines movement behavior patterns among Chinese adults (40-75) and their associations with cardiovascular risk, with a focus on sleep, physical activity (PA), and sedentary behavior (SB). METHODS: Data pertaining to 13,465 male participants and 15,613 female participants, collected from the Chronic Disease and Risk Factor Surveillance Survey in Nanjing from February 2020 to December 2022. The latent class analysis method was employed to identify underlying movement patterns across sexes. Multinomial logistic regression models assessed CVD risk, and the China-PAR model calculated 10-year risk. RESULTS: Three male and four female movement patterns emerged. Active Movers (17.10% males, 5.93% females) adhered to PA recommendations but had poorer sleep quality. Moderate Achievers (61.42% males, 45.32% females) demonstrated moderate behavior. Sedentary Sleepers (21.48% males, 10.20% females) exhibited minimal PA but good sleep. Female Moderate Physical Activity (MPA) Dominant Movers demonstrated a prevalent adherence to recommended MPA levels. Active movers had the lowest CVD risk. After adjusting for potential confounders, moderate achievers (OR = 1.462, 95% CI 1.212, 1.764) and sedentary sleepers (OR = 1.504, 95% CI 1.211, 1.868) were both identified as being associated with a high-risk of cardiovascular diseases (CVDs) compared to active movers in males, demonstrating a similar trend for intermediate risk. Such associations were not statistically significant among females. CONCLUSIONS: Our study revealed sex-specific movement patterns associated with CVD risks among middle-aged Chinese adults. We suggest that adopting an active movement behavior pattern, characterized by meeting or exceeding recommended levels of vigorous physical activity (VPA) and reducing sedentary behavior, is beneficial for all middle-aged adults, particularly males. An active lifestyle could help counteract the adverse effects of relatively poor sleep quality on the risk of developing CVD in this population. Integrating sleep, PA, and SB information provides a holistic framework for understanding and mitigating CVD risks.

Bullying Victims' Perceived Social Support and Psychological Health and Prosocial Behavior: A Latent Profile Analysis.

The literature on school bullying and perceived social support primarily relies on variable-centered approaches, investigating the independent effects of individual sources of social support. However, victims of school bullying perceive different combinations of levels of social support from multiple sources. Hence, there lacks a holistic person-centered examination of the joint effects of multiple sources of social support. The study surveyed 915 bullying victims (51.9% boys, 48.1% girls; Mage = 13.52, SD = 0.75). Latent profile analysis identified five profiles of social support across five sources (i.e., parents, teachers, classmates, close friends, and online-only friends): online-offline supported adolescents, offline supported adolescents, moderately supported adolescents, close friend supported adolescents, and unsupported. The five social support profiles were associated differently with bullying victims' demographic characteristics (i.e., age, gender, and socioeconomic status), frequency of victimization, psychological health (i.e., subjective well-being, depression, and anxiety), and prosocial behavior. The findings support the heterogenous nature of social support perceived by bullying victims and offer insights into more tailored interventions aimed at promoting the development victims in different subgroups.

Laser Therapy Effects on Periodontal Status: A Randomized Study Using Gaussian Network Analysis and Structural Equation Modeling Approach.

Background and Objectives: This paper aims to assess the role of laser therapy in periodontitis through an innovative approach involving computational prediction and advanced modeling performed through network analysis (Gaussian graphical models-GGMs) and structural equations (SEM). Materials and Methods: Forty patients, exhibiting periodontal pockets with a minimum depth of 5 mm, were randomly divided into two groups: a control group and a laser group. Four specific indicators were measured for each tooth, namely periodontal pocket depth (PPD), clinical attachment level (CAL), bleeding on probing (BOP), and plaque index (PI), and the mean of six measured values was recorded at five time markers (baseline, 6 months, 1 year, 2 years, and 4 years). The assessment algorithm included enrollment, measurements, and differential non-surgical periodontal treatment, according to the group allocation. Scaling, root planing, and chlorhexidine 1% were conducted for the control group, and scaling, root planing and erbium, chromium:yttrium-scandium-gallium-garnet (Er,CR:YSGG) laser therapy were conducted for the laser group. Results: The main results highlight that the addition of laser treatment to scaling and root planing led to notable clinical improvements, decreasing the PPD values, reducing the BOP scores, and increasing the CAL. Conclusions: Notable relationships between the specific indicators considered were highlighted by both the GGMs and by SEM, thus confirming their suitability as proxies for the success of periodontal treatment.

Using latent class analysis to operationalize a wholistic assessment of Inuit health and well-being.

Many indigenous cultures conceptualize health wholistically, whereby physical, mental, spiritual and relational dimensions of health are interconnected. Yet, quantitative approaches to studying Indigenous health remain anchored in western perspectives, that separate the dimensions of health. This paper aims to operationalize a wholistic indicator of health based on the IQI model of Inuit health. Variables from the 2017 Nunavik Health Survey (N = 1196) were selected based on their representativeness of IQI model. Exploratory Latent Class Analysis (LCA) was used to identify wholistic health profiles. Once participants assigned to their health profile, sociodemographic characteristics were compared across profiles, and multinomial regression models were used to examine the relationship between community-level social determinants of health and the profiles. The LCA revealed three health profiles, labelled as "excellent", "good" and "fair" based on the distribution of answers to the indicators. Nunavimmiut in "excellent" and "good" health were more likely to: rate their health positively; be over 30 years old; be in a relationship; and have participated or volunteered in community events. Nunavimmiut in "fair" health tended to report lower levels of community cohesion, family relationships, and emotional support. Intergrating culturally relevant models of health can support improved health status assessments and identify opportunities for health promotion.

Factors associated with return to play following conservative treatment for lumbar spondylolysis among young athletes: A retrospective case series using structural equation modeling.

INTRODUCTION: Lumbar spondylolysis is the most common underlying cause of lower back pain (LBP) in young athletes. Conservative treatment methods are often used to reduce pain and promote healing. Several parameters may affect the duration of conservative treatment, such as the time to return to play (RTP), patient behavior, and physical parameters; however, no study has comprehensively assessed the factors that affect the time to RTP. OBJECTIVES: This study aimed to determine the factors associated with the time required for RTP among young athletes with early-stage spondylolysis receiving conservative treatment using structural equation modeling (SEM). METHODS: In this retrospective case series, 137 young athletes (128 males and 9 females, aged 9-18 years) with early-stage lumbar spondylolysis were enrolled. All patients were examined using plain radiography and magnetic resonance imaging and treated conservatively (sports cessation, wearing a corset, therapeutic exercises, and low-intensity pulsed ultrasound radiation). SEM was used to investigate the factors affecting the time to RTP in these patients. RESULTS: The final model included the following factors: spondylolysis laterality, symptom duration, lower-extremity flexibility, treatment interval, patient adherence, and residual LBP. SEM revealed that patient adherence to physician orders (p < 0.01), treatment interval (p < 0.001), and spondylolysis laterality (p < 0.001) contributed directly to shortened RTP. CONCLUSION: Patient adherence is essential for reducing the time to RTP among young athletes receiving conservative treatment for early-stage spondylolysis.

COVID-19 home remedy consumption and perceived effectiveness among adult population in Brunei Darussalam: a PLS-SEM approach.

BACKGROUND: The Coronavirus Disease 2019 (COVID-19) caused by SARS-CoV-2 affects the respiratory system and causes severe acute respiratory infections. Several cultures have influenced the use of home remedies to ease mild symptoms of COVID-19 sometimes alongside conventional medicine. The aim of this study was to investigate the usage of COVID-19 home remedies among the adult population in Brunei. METHODS: The study design was a cross-sectional study using an online survey and distributed nationwide. The statistical analysis of the data included descriptive statistics describing the sociodemographic characteristics of the respondents, their experience with COVID-19 infection, consumption of general home remedies and COVID-19 home remedy, their practice of COVID-19 home remedy use, and their attitude towards the general use of home remedy. Sub-group analysis including Pearson's chi-square test and Fisher's exact test was computed for the variables in relation to the COVID-19 home remedy use and the perceived effectiveness of the types of home remedy. Multivariate analysis including Partial Least Squares Structural Equation Modelling (PLS-SEM) was applied to determine the correlations between the factors and outcomes measured. P-value less than 0.05 is considered statistically significant. RESULTS: There was a total of 864 eligible responses included in the study. The primary findings showed COVID-19 home remedy was used by 72.2% of the study participants. Most frequently used types of COVID-19 home remedy were cloves (37%), lemon (37%), and honey (23%). There was an infrequent usage of coconut (4.6%), eucalyptus oil (3.7%), habbatussauda (3.5%), traditional/ herbal cough syrup (2.4%), and turmeric (2.2%). The PLS-SEM demonstrated that 'Experience' appears to be a central endogenous variable that affects the decision on the use of COVID-19 home remedy. This relationship is mediated by 'Safety', 'Source', and 'Opinion' which have significant contributions to the outcome, accounting for 98.2% of the variance explained (R-square = 0.982). CONCLUSIONS: The outcome of this study establishes the baseline prevalence of COVID-19 home remedy consumption among Bruneian residents and compared the previous study on Brunei's general use of traditional medicine. The present findings could help nurses and other healthcare professionals in Brunei understand the practice of Bruneian adults on the consumption of home remedies for COVID-19.

Examining the complex relations between childhood adversity, mindfulness, attachment, and various personality outcomes: A Bayesian structural equation modeling approach.

Research has demonstrated that childhood abuse and neglect can negatively impact individuals into adulthood. Abuse and neglect are associated with insecure attachment, lower mindfulness, and disordered personality traits, including borderline and psychopathic traits. OBJECTIVE: The purpose of our present study was two-fold; first, we wanted to replicate the finding that the relationships between abuse and neglect and these traits are partly indirect through insecure attachment. Second, we wanted to determine whether mindfulness is an additional mediator in these relationships. METHOD: A sample of 291 undergraduate students participated in the current study (Mage = 21.7, SD = 6.5). RESULTS: Findings from a Bayesian Structural Equation Model supported the prediction that the relationship between childhood abuse and neglect and disordered personality traits was indirect through insecure attachment. More specifically, for borderline traits it was indirect through anxious attachment while interpersonal manipulation and callous affect psychopathic traits it was indirect through avoidant attachment. Importantly, mindfulness was not a significant mediator in the model for any of the outcome variables. CONCLUSIONS: Overall, there was support for the idea that insecure attachment was a potential mechanism in the relationship between childhood abuse and neglect and disordered personality traits, though there was no support for mindfulness as a potential mediator. Implications are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Mindfulness, awareness, partner caring, and romantic relationship quality: Structural equation modeling.

Studies investigating the potential structures underlying the connection between mindfulness and romantic relationship quality are not sufficient and require additional empirical findings. The current study aimed to examine a hypothesized model underlying the association between mindfulness and relationship quality, while investigating the roles of individuals' level of awareness and application of care in a romantic relationship among 199 adult participants in a southeastern region of the United States. Structural equation modeling (SEM) and path analysis were executed to examine the hypothesized structural model, testing a multi-step pathway as to how mindfulness influences relationship quality. The SEM and path analyses showed a good fit for the present study's hypothesized model, indicating that individuals' mindfulness had a direct influence on their self-awareness level. Individuals' self-awareness and application of care mediated the link between mindfulness and relationship quality. Implications for family life educators, dyadic couples researchers, and marriage and family practitioners are discussed.

A structural equation modeling analysis of the effects of nurses' spirituality and spiritual care on professional quality of life.

Spiritual care helps nurses establish a deeper connection with patients and meet their spiritual needs. Spiritual belief is thought to enable nurses to be more effective in their profession and positively affect their quality of life. This study aimed to investigate the effects of nurses' spirituality and spiritual care on quality of life. This study was designed as a descriptive cross-sectional study using structural equation modeling. A total of 221 nurses were included. Data were collected using the Professional Quality of Life Scale, and Spirituality and Spiritual Care Scale. The data were analyzed using descriptive statistics, correlational statistics, and structural equation modeling. Spirituality and spiritual care were negative predictors of burnout and positive predictors of compassion satisfaction. Spirituality and spiritual care decreased the level of burnout in nurses and significantly increased the level of compassion satisfaction. This study suggests raising nurse awareness of spirituality and spiritual care. Supporting nurses with professional training programs, including spiritual care, may benefit their quality of life.

Relationship chains of subhealth physical examination indicators: a cross-sectional study using the PLS-SEM approach.

Subhealth is a transitional state between health and disease, and it can be detected through routine physical check-ups. However, the complexity and diversity of physical examination items and the difficulty of quantifying subhealth manifestations are the main problems that hinder its treatment. The aim of this study was to systematically investigate the physical examination performance of the subhealthy population and further explore the deeper relationships between indicators. Indicators were obtained for 878 subjects, including basic information, Western medicine indicators, inquiries of traditional Chinese medicine and sublingual vein (SV) characteristics. Statistical differences were analysed using R software. To explore the distribution of symptoms and symptom clusters in subhealth, partial least squares-structural equation modelling (PLS-SEM) was applied to the subhealth physical examination index, and a structural model was developed to verify whether the relationship chain between the latent variables was reasonable. Finally, the reliability and validity of the PLS-SE model were assessed. The most common subclinical clinical symptoms were limb soreness (37.6%), fatigue (31.6%), shoulder and neck pain (30.5%) and dry eyes (29.2%). The redness of the SV in the subhealthy group was paler than that in the healthy group (p < 0.001). This study validates the establishment of the directed acyclic relationship chain in the subhealthy group: the path from routine blood tests to lipid metabolism (t = 7.878, p < 0.001), the path from lipid metabolism to obesity (t = 8.410, p < 0.001), the path from obesity to SV characteristics (t = 2.237, p = 0.025), and the path from liver function to SV characteristics (t = 2.215, p = 0.027). The innovative application of PLS-SEM to the study of subhealth has revealed the existence of a chain of relationships between physical examination indicators, which will provide a basis for further exploration of subhealth mechanisms and causal inference. This study has identified the typical symptoms of subhealth, and their early management will help to advance the treatment of diseases.

Association of Drinking Herbal Tea with Activities of Daily Living among Elderly: A Latent Class Analysis.

The aim of this study was to explore whether drinking herbal tea and tea would positively benefit activities of daily living (ADL) in the elderly. We used data from the Chinese longitudinal healthy longevity survey (CLHLS) to explore the association. Drinking herbal tea and drinking tea were divided into three groups using latent class analysis (LCA): frequently, occasionally, and rarely. ADL disability was measured by the ADL score. Multivariate COX proportional hazards models with competing risks were used to explore the impact of drinking herbal tea and tea on ADL disability, statistically adjusted for a range of potential confounders. A total of 7441 participants (mean age 81.8 years) were included in this study. The proportions of frequently and occasionally drinking herbal tea were 12.0% and 25.7%, respectively. Additionally, 29.6% and 28.2% of participants reported drinking tea, respectively. Multivariate COX regression showed that compared with rarely drinking, frequently drinking herbal tea could effectively reduce the incidence of ADL disability (HR = 0.85, 95% CI = 0.77-0.93, p = 0.005), whereas tea drinking had a relatively weaker effect (HR = 0.92, 95% CI = 0.83-0.99, p = 0.040). Subgroup analysis found that frequently drinking herbal tea was more protective for males under 80 years old (HR = 0.74 and 0.79, respectively), while frequently drinking tea was somewhat protective for women (HR = 0.92). The results indicate that drinking herbal tea and tea may be associated with a lower incidence of ADL disability. However, the risks associated with using Chinese herb plants still deserve attention.

Determining the main contributing factors to nutrient concentration in rivers in arid northwest China using partial least squares structural equation modeling.

Understanding the main driving factors of oasis river nutrients in arid areas is important to identify the sources of water pollution and protect water resources. Twenty-seven sub-watersheds were selected in the lower oasis irrigated agricultural reaches of the Kaidu River watershed in arid Northwest China, divided into the site, riparian, and catchment buffer zones. Data on four sets of explanatory variables (topographic, soil, meteorological elements, and land use types) were collected. The relationships between explanatory variables and response variables (total phosphorus, TP and total nitrogen, TN) were analyzed by redundancy analysis (RDA). Partial least squares structural equation modeling (PLS-SEM) was used to quantify the relationship between explanatory as well as response variables and fit the path relationship among factors. The results showed that there were significant differences in the TP and TN concentrations at each sampling point. The catchment buffer exhibited the best explanatory power of the relationship between explanatory and response variables based on PLS-SEM. The effects of various land use types, meteorological elements (ME), soil, and topography in the catchment buffer were responsible for 54.3% of TP changes and for 68.5% of TN changes. Land use types, ME and soil were the main factors driving TP and TN changes, accounting for 95.56% and 94.84% of the total effects, respectively. The study provides a reference for river nutrients management in arid oases with irrigated agriculture and a scientific and targeted basis to mitigate water pollution and eutrophication of rivers in arid lands.

Sociodemographic and Health Correlates of Multiple Health Behavior Adherence among Cancer Survivors: A Latent Class Analysis.

The study aimed to (a) assess current levels of adherence to the National Comprehensive Cancer Network's multiple health behavior guidelines and (b) identify characteristics of cancer survivors associated with different adherence levels. Cancer survivors (N = 661) were identified through the state registry and completed questionnaires. Latent class analysis (LCA) was used to identify patterns of adherence. Associations between predictors with the latent classes were reported as risk ratios. LCA identified three classes: lower- (39.6%), moderate- (52.0%), and high-risk lifestyle (8.3%). Participants in the lower-risk lifestyle class had the highest probability of meeting most of the multiple health behavior guidelines compared to participants in the high-risk lifestyle class. Characteristics associated with membership in the moderate-risk lifestyle class included self-identifying as a race other than Asian/Asian American, being never married, having some college education, and having been diagnosed with later stage colorectal or lung cancer. Those in the high-risk lifestyle class were more likely to be male, never married, have a high school diploma or less, diagnosed with colorectal or lung cancer, and diagnosed with pulmonary comorbidities. Study findings can be used to inform development of future interventions to promote multiple health behavior adherence among higher risk cancer survivors.

The dose-response association between LEAP 1000 and birthweight - no clear mechanisms: a structural equation modeling approach.

BACKGROUND: Birthweight is an important indicator of maternal and fetal health globally. The multifactorial origins of birthweight suggest holistic programs that target biological and social risk factors have great potential to improve birthweight. In this study, we examine the dose-response association of exposure to an unconditional cash transfer program before delivery with birthweight and explore the potential mediators of the association. METHODS: Data for this study come from the Livelihood Empowerment Against Poverty (LEAP) 1000 impact evaluation conducted between 2015 and 2017 among a panel sample of 2,331 pregnant and lactating women living in rural households of Northern Ghana. The LEAP 1000 program provided bi-monthly cash transfers and premium fee waivers to enroll in the National Health Insurance Scheme (NHIS). We used adjusted and unadjusted linear and logistic regression models to estimate the associations of months of LEAP 1000 exposure before delivery with birthweight and low birthweight, respectively. We used covariate-adjusted structural equation models (SEM) to examine mediation of the LEAP 1000 dose-response association with birthweight by household food insecurity and maternal-level (agency, NHIS enrollment, and antenatal care) factors. RESULTS: Our study included a sample of 1,439 infants with complete information on birthweight and date of birth. Nine percent of infants (N = 129) were exposed to LEAP 1000 before delivery. A 1-month increase in exposure to LEAP 1000 before delivery was associated with a 9-gram increase in birthweight and 7% reduced odds of low birthweight, on average, in adjusted models. We found no mediation effect by household food insecurity, NHIS enrollment, women's agency, or antenatal care visits. CONCLUSIONS: LEAP 1000 cash transfer exposure before delivery was positively associated with birthweight, though we did not find any mediation by household- or maternal-level factors. The results of our mediation analyses may serve to inform program operations and improve targeting and programming to optimize health and well-being among this population. TRIAL REGISTRATION: The evaluation is registered in the International Initiative for Impact Evaluation's (3ie) Registry for International Development Impact Evaluations (RIDIESTUDY- ID-55942496d53af) and in the Pan African Clinical Trial Registry (PACTR202110669615387).

Initial testing of components of the cultural determinants of trauma recovery (CDTR) theory amongst American Gender-Based violence survivors: Structural equation modelling.

AIM: We tested key hypotheses derived from the Cultural Determinants of Trauma Recovery Theory (CDTR) with an American sample. DESIGN: A cross-sectional study using anonymous online surveys. METHODS: This study was conducted with 225 American survivors of gender-based violence (GBV) between August to November 2019. Demographics, distress (depression: PHQ8; PTSD: PCL-5), mental health service utilization (counselling and medication), sense of coherence (SOC), internal barriers to help-seeking (shame, frozen and problem management subscales: BHS-TR Internal) and the GBV healing (GBV-Heal) were used. Structural equation modelling (SEM) was conducted to test the hypotheses. RESULTS: The final SEM model showed that the relationship between distress and mental health service utilization was not mediated by internal help-seeking barriers; the relationship between distress and trauma healing was partially mediated by internal help-seeking barriers; the relationship between internal help-seeking barriers and trauma healing was partially mediated by SOC; mental health service utilization was not significantly associated with trauma healing. Overall, the relationship between distress and trauma healing was partially mediated by internal help-seeking barriers and SOC. CONCLUSIONS: This study confirmed some hypothetical pathways between distress and trauma healing. Further research with larger and international samples should be necessary to test the overall CDTR and compare groups. IMPACT: This study can help us focus on psychological interventions that enhance meaning and mitigate internal help-seeking barriers to promote holistic trauma recovery. Public and public contribution: The sample was gathered from a clinical population registry that alerts patients of potential research opportunities.

Polysubstance Use Patterns among Outpatients Undergoing Substance Use Disorder Treatment: A Latent Class Analysis.

Substance Use Disorders (SUDs) pose significant challenges to both individuals and society at large. The primary focus of existing research with clinical SUD populations has been on individual substances, but research is required to better understand the profiles of individuals who use different substances simultaneously. The purpose of the current study was, therefore, to identify patterns of use among subjects (n = 1025) who reported using multiple substances by adopting a Latent Class Analysis (LCA) methodology. The Addiction Severity Index (ASI-lite) was included as a measure of substance misuse, we performed LCA to identify patterns of substance use through the administration of the ASI-Lite. Responses were collected from the following substances: alcohol, cannabis/cannabinoids, opioids and heroin, and cocaine. Results identified two latent classes: (1) alcohol use dominant, and (2) poly-abuser use dominants. Class 1 represented 60.0% of the sample and refers to individuals with the dominant use of alcohol, of those a higher proportion (47%) reported low-frequency use (1 to 7 days per month) and 26% reported a frequency of use of 24 to 30 days per month. Furthermore, 18% used alcohol in combination with cocaine. Class 2 represents 40.0% of the sample. This class is characterized by low-frequency and high-frequency users of several substances. The results obtained highlight the importance of deepening the study of the concomitant use of substances in individuals with SUDs to better understand the health risk of the combined use of two or more substances.

The Relationship between Dietary Patterns and High Blood Glucose among Adults Based on Structural Equation Modelling.

The aim of this study was to examine the association between dietary patterns and high blood glucose in Jiangsu province of China by using structural equation modelling (SEqM). Methods: Participants in this cross-sectional study were recruited through the 2015 Chinese Adult Chronic Disease and Nutrition Surveillance Program in Jiangsu province using a multistage stratified cluster random sampling method. Dietary patterns were defined by exploratory factor analysis (EFA). Confirmatory factor analysis (CFA) was used to test the fitness of EFA. SEqM was used to investigate the association between dietary patterns and high blood glucose. Results: After exclusion, 3137 participants with complete information were analysed for this study. The prevalence of high blood glucose was 9.3% and 8.1% in males and females, respectively. Two dietary patterns: the modern dietary pattern (i.e., high in red meats and its products, vegetables, seafood, condiments, fungi and algae, main grains and poultry; low in other grains, tubers and preserves), and the fruit−milk dietary pattern (i.e., high in milk and its products, fruits, eggs, nuts and seeds and pastry snacks, but low in vegetable oils) were established. Modern dietary pattern was found to be positively associated with high blood glucose in adults in Jiangsu province (multivariate logistic regression: OR = 1.561, 95% CI: 1.025~2.379; SEqM: ß = 0.127, p < 0.05). Conclusion: The modern dietary pattern­high intake of red meats­was significantly associated with high blood glucose among adults in Jiangsu province of China, while the fruit−milk dietary pattern was not significantly associated with high blood glucose.

[Relationship between Yingyangbao consumption and anemia status among infants and young children in impoverish areas of Henan Province:a cross-sectional study based on latent class analysis].

OBJECTIVE: To explore latent classes of Yingyangbao(YYB) consumption among infants and young children in impoverished areas of Henan Province, and to analyze the relationship between these classes and anemia status. METHODS: We recruited 4433 children aged 6 to 24 months by multi-stage random sampling in 14 poverty-stricken counties of Henan Province between June and September 2018. We conducted hemoglobin concentration measurement among children and questionnaire survey among their caregivers. Then we used latent class analysis to classify the characteristics of YYB consumption among the children and two-level Logistic regression was used to explore relationship between YYB consumption and anemia status. RESULTS: The prevalence of anemia was 15.1% in poor areas of Henan Province in 2018. There were two latent classes of YYB consumption among children: the one was "effective consumption", latent class probability was 0.889; the other called "ineffective consumption", latent class probability was 0.111. Compared with effective consumption, children who never have consumed YYB(odds ratio(OR)=1.365, P<0.001) or were in "ineffective consumption" class(OR=1.265, P=0.034) were both positive related to anemia. CONCLUSION: Prevalence of anemia among children in impoverished areas has been significantly reduced since the launch of Program of Children's Nutrition Improvement in Impoverished Areas. Effective consumption is a key to ensuring YYB's anemia intervention effect.

Investigating the relationship between the depression levels of midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic period with structural equation modelling.

In this study, it was aimed to investigate the relationship between depression levels in midwives and nurses and their emotional labor and secondary traumatic stress levels in the COVID-19 pandemic process structural equation modelling. This cross-sectional study was conducted with 313 midwives and nurses. According to the model formed based on the presence of depression, as the Emotional Labor scores of the participants increased, their Beck Depression scores decreased 0.947-fold, while as their Secondary Traumatic Stress Scale scores increased, their Beck Depression scores increased 1.116-fold. It was determined that the scores of the participants in the Emotional Labor and Secondary Traumatic Stress Scales explained 42.8% of their Beck Depression Inventory scores. It was concluded that the depression statuses of the participants were affected by their emotional labor and secondary traumatic stress statuses.

Relationship between Different Dimensions of Workplace Spirituality and Psychological Well-Being: Measuring Mediation Analysis through Conditional Process Modeling.

The present study aims to identify the relationship between workplace spirituality, compassion, relationship with others at work, spiritual orientation, organizational value and alignment of personal values, and psychological well-being among universities' teachers. Further, the mediating effect of job stress was also identified between workplace spirituality and psychological well-being. Similarly, the mediation of environmental mastery between organizational values and alignment of personal values and psychological well-being was examined. Finally, we examined the mediation of personal growth between spiritual orientation and psychological well-being. The data were collected through a structured and adapted five-point Likert scale using a purposive sampling technique, with a total sample of 873 male and female university teachers working in the private and government universities. We employed structural equation modeling to check the relationship among the considered variables for analysis purposes. The results show a strong positive relationship between the independent and dependent variables. The findings further demonstrated that the mediation analysis confirms that job stress mediates the relationship between workplace spirituality and psychological well-being, and environmental mastery mediates between organizational values and alignment of personal values and psychological well-being. Finally, personal growth mediates between spiritual orientation and psychological well-being. To maintain the excellent quality of education, educational institutes need to identify and imply the practice of workplace spirituality that will help to reduce job stress and improve the psychological well-being of universities' teachers, thus resulting in better educational output.