The Relationship between Nutrition Knowledge and Nutrition Facts Table Use in China: A Structural Equation Model.
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ABSTRACT:
SUBMITTER: Huang Z
PROVIDER: S-EPMC8296123 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The nutrition facts table is a nutrition labeling tool designed to help consumers understand the nutritional content of food and make informed food choices. However, the utilization rate of the nutrition facts table has been low in China since its introduction in 2013. This study employed structural equation modeling to investigate consumers' knowledge, attitudes, and practices related to the nutrition facts table by using an online survey of 930 valid samples from 31 provinces in China based on the knowledge, attitude, practice (KAP) model. The analysis revealed that most respondents had a positive attitude, but not a good level of knowledge or practice in their use of the labeling. Respondents' knowledge about the nutrition facts table directly affected their attitude, through which it could then affect their practice, whereas knowledge played an indirect role in nutrition labeling use. The results confirmed that the KAP model is suitable for explaining consumers' use of nutrition labels in China, and that the first step to promoting labeling usage is to enrich consumers' knowledge on the nutrition facts table.
| S-EPMC8625815 | biostudies-literature
Project description:The nutrition facts table is a nutrition labeling tool designed to inform consumers of food nutritional contents and enable them to make healthier choices by comparing the nutritional values of similar foods. However, its adoption level is considerably low in China. This study employed the Chi-squared Automatic Interaction Detection (CHAID) algorithm to explore the factors associated with respondents' adoption of nutrition facts table to compare the nutritional values of similar foods. Data were gathered through a nationally representative online survey of 1500 samples. Results suggested that consumers' comprehension of the nutrition facts table was a direct explanatory factor for its use. The usage was also indirectly explained by people's nutrition knowledge, the usage of nutrition facts table by their relatives and friends, and their focus on a healthy diet. Therefore, to increase the use of nutrition facts table by Chinese consumers, the first consideration should be given to enhancing consumers' comprehension of the labeling.
| S-EPMC8775507 | biostudies-literature
Project description:The Chinese food industry has opposed the mandatory inclusion of increased nutrients in the Nutrition Facts Table (NFT), thus impeding its improvement. This poses a challenge to the endeavors aiming to assist consumers in cultivating healthy dietary habits that incorporate reduced saturated fatty acids and added sugars while ensuring the adequate intake of essential micronutrients. This study conducted a choice experiment to investigate Chinese consumers' preference for updated labeling schemes among 630 adults that were randomly selected from Central, North, East, South, Northwest, Southwest, and Northeast China. It revealed that respondents were willing to pay the highest premium for the most mandatory nutrients (22.575% of the food price per unit). Respondents preferred the NFT with the most mandatory nutrients if they met the following population characteristics: female; non-overweight or obese; without a college degree; possessed an annual household disposable income between 50,000 and 99,999 CNY; from North China; lived in rural areas and often cooked for family; cared about food nutrition. Two combinations of NFT information received the highest preference: (1) the NFT detailing the most mandatory nutrients and their content values and nutrient reference values (NRV%); (2) the NFT containing the most nutrients and the nutrients in 100 g/mL or a serving. The first and second combinations attracted a premium of 14.884% and 31.833% of the food price per unit, respectively.
| S-EPMC10708288 | biostudies-literature
Project description:ObjectiveChildren's poor growth and nutrition status has serious consequences and therefore it is important to understand its contributing factors.DesignA community-based interventional study focusing on child feeding was conducted in a rural community in China. Data from the intervention group at baseline (1-4 months of age) and follow-up visits (12 and 18 months of age) were used in the present study (n 236). A structural equation model was generated to explore the effects of family wealth, household food safety, dietary intake, diseases and other factors on the growth and nutrition of young children.ResultsMother's knowledge and behaviours on household food safety had positive effects on children's weight-for-age Z-score (WAZ; β direct=0·03 and 0·15, respectively, at 12 months of age; β direct=0·02 and 0·08, respectively, at 18 months; P<0·05) and weight-for-length Z-score (WLZ; β direct=0·04 and 0·21, respectively, at 12 months of age; β direct=0·01 and 0·06, respectively, at 18 months; P<0·05). While mothers' feeding behaviours and children's dietary intake at 12 months of age were positively associated with WAZ and/or WLZ at current and later ages, children's diseases were negatively associated with WAZ and WLZ cross-sectionally.ConclusionsCaregiver's knowledge and feeding behaviours, and children's dietary intake and diseases, are factors influencing the WAZ and WLZ of children. Promoting feeding and health knowledge and behaviours at early stages of childhood can improve children's physical growth at later ages.
| S-EPMC10261315 | biostudies-literature
Project description:BackgroundInfluenza is associated with a large number of disease burdens, and it is generally recommended that all healthcare workers (HCWs) get an influenza vaccination. However, the vaccination rates among HCWs are still low. This study aimed to assess HCWs' knowledge, attitude, and practice (KAP) about the influenza vaccine, and by establishing a structural equation model (SEM) to explore the influencing factors of medical personnel's influenza vaccination in Chongqing, China.MethodsFrom September to November 2019, we conducted a cross-sectional survey in four sentinel hospitals and four non-sentinel hospitals in Chongqing, China. We calculated knowledge, attitude, and behavior scores for each study participant and assessed the level of knowledge, attitude, and behavior of the medical staff. An SEM was used to evaluate the relationship between latent variables, and the path graph between knowledge, attitude, and behavior was established.ResultsA total of 1,412 valid questionnaires were collected in this survey, including four sentinel hospitals (N = 606, 42.92%) and four non-sentinel hospitals (N = 806, 57.08%). Women (N = 1,102, 78.05%) were more than men (N = 310, 21.95%), with an average age of 32.36 ± 7.78 years old and under 30 years old (N = 737, 52.20%), respectively. Nurses (741, 52.48%) were the main subjects, followed by physicians (457, 32.37%). The final SEM model was obtained after the model was modified and adjusted. A bootstrap analysis of path coefficients was carried out on the final model. Knowledge has a direct influence on behavior. The normalized path coefficient is 0.071 (95% CI: 0.002-0.161), and the value of P of the hypothesis test result of the path coefficient is 0.042. The direct influence of knowledge on attitude standardization was 0.175 (95% CI: 0.095-0.281). The direct influence of attitude on practice standardization was 0.818 (95% CI: 0.770-0.862). The indirect effect of knowledge on the standardization of practice through attitude was 0.144 (95% CI: 0.076-0.235).ConclusionsAccording to the SEM, there is a direct positive correlation between KAP and the influenza vaccine. The indirect influence of knowledge on the standard of behavior through attitude is about two times as much as the direct influence on behavior, indicating that attitude plays a strong mediating role between knowledge and practice.
| S-EPMC9160795 | biostudies-literature
Project description:In this article, we introduce a functional structural equation model for estimating directional relations from multivariate functional data. We decouple the estimation into two major steps: directional order determination and selection through sparse functional regression. We first propose a score function at the linear operator level, and show that its minimization can recover the true directional order when the relation between each function and its parental functions is nonlinear. We then develop a sparse functional additive regression, where both the response and the multivariate predictors are functions and the regression relation is additive and nonlinear. We also propose strategies to speed up the computation and scale up our method. In theory, we establish the consistencies of order determination, sparse functional additive regression, and directed acyclic graph estimation, while allowing both the dimension of the Karhunen-Loéve expansion coefficients and the number of random functions to diverge with the sample size. We illustrate the efficacy of our method through simulations, and an application to brain effective connectivity analysis.
| S-EPMC9017995 | biostudies-literature
Project description:BackgroundHealth literacy is a strong predictor of health status. This study develops and tests a structural equation model to explore the factors that are associated with the health literacy level of rural residents in Central China.MethodsThe participants were recruited from a county-level city in Central China (N = 1164). Face-to-face interviews were conducted to complete the self-designed questionnaire of each participant. The questionnaire included items for the (1) demographic information, (2) socioeconomic status, and (3) health literacy of the participants. Mplus analyses were performed to evaluate the proposed model.ResultsThe final model showed good fit for the data, and both demographic characteristics (i.e., age, BMI, and residence) and socioeconomic status (i.e., monthly income, occupation, and education level) were significantly associated with health literacy level. The effects of these two variables were - 0.277 (P < 0.05) and 0.615 (P < 0.001), respectively, and the model explained 70.2% of the variance in health literacy.ConclusionsHealth literacy was significantly associated with age, BMI, distance between residence and nearest medical institution, monthly income, occupation, and education level, whereas socioeconomic status was a dominant predictor of health literacy level. Targeting these factors might be helpful in allocating health resources rationally when performing health promotion work.
| S-EPMC6509858 | biostudies-literature
Project description:Precision medicine emphasizes predictive, preventive and personalized treatment on the basis of information gleaned from personal genetic and environmental data. Its implementation at health systems level is regarded as multifactorial, involving variables associated with omics technologies, public genomic awareness and adoption tendencies for new medical technologies. However, interrelationships of the various factors and their synergy has not been sufficiently quantified. Based on a survey of 270 participants involved in the use of molecular tests (omics-based biomarkers, OBMs), this study examined how characteristics of omics biomarkers influence precision medicine implementation outcomes (ImO) through an intermediary factor, public genomic awareness (represented by User Response, UsR). A structural equation modelling (SEM) approach was applied to develop and test a 3 latent variable mediation model; each latent variable being measured by a set of indicators ranging between three and six. Mediation analysis results confirmed a partial mediation effect (an indirect effect represented as the product of paths 'a' and 'b' (a*b)) of 0.36 at 90% confidence level, CI = [0.03, 9.94]. Results from the individual mediation paths 'a' and 'b' however, showed that these effects were negative(a = -0.38, b = -0.94). Path 'a' represents the effect of characteristics of OBMs on the mediator, UsR; 'b' represents the effect of the mediator, UsR on implementation outcomes, ImO, holding OBMs constant. The results have both theoretical and practice implications for biomedical genomics research and clinical genomics, respectively. For instance, the results imply better ways have to be devised to more effectively engage the public in addressing extended family support for extended family cascade screening, especially for monogenic hereditary conditions like BRCA-related breast cancer and colorectal cancer in Lynch syndrome families. At basic biomedical research level, results suggest an integrated biomarker development pipeline, with early consideration of factors that may influence biomarker uptake. The results are also relevant at health systems level in indicating which factors should be addressed for successful.
| S-EPMC7556538 | biostudies-literature
Project description:The aim of this paper is to measure the knowledge and attitudes of primary care physicians toward antibiotic prescriptions and their impacts on antibiotic prescribing. A questionnaire survey was conducted on 625 physicians from 67 primary care facilities in Hubei, China. Structural equation modelling (SEM) was applied to test the theoretical framework derived from the Knowledge, Attitudes, and Practices (KAP) theory. Physicians' knowledge, five sub-types of attitudes, and three sub-types of behavioral intentions towards antibiotic use were measured. Physicians had limited knowledge about antibiotic prescriptions (average 54.55% correct answers to 11 questions). Although they were generally concerned about antibiotic resistance (mean = 1.28, SD = 0.43), and were reluctant to be submissive to pressures from consumer demands for antibiotics (mean = 1.29, SD = 0.65) and the requirements of defensive practice (mean = 1.11, SD = 0.63), there was a lack of motivation to change prescribing practices (mean = -0.29, SD = 0.70) and strong agreement that other stakeholders should take the responsibility (mean = -1.15, SD = 0.45). The SEM results showed that poor knowledge, unawareness of antibiotic resistance, and limited motivation to change contributed to physicians' high antibiotics prescriptions (p < 0.001). To curb antibiotic over-prescriptions, improving knowledge itself is not enough. The lack of motivation of physicians to change needs to be addressed through a systematic approach.
| S-EPMC6651188 | biostudies-literature
Project description:INTRODUCTION:Patients' sexual concerns are private, sensitive issues, and providing sexual health care (SHC) is a legitimate area of concern for the nursing practice. AIMS:This study tests a structural equation model for factors that affect SHC among Taiwanese nurses. METHODS:A cross-sectional study was performed between August 2014 and July 2015. A total of 471 registered nurses from a medical center in Taiwan were enrolled in this study. All nurses participated anonymously and completed 3 questionnaires: Nursing Attitude in Sexual Health Care scale, Nursing Intervention in Sexual Health scale, and Gender Role Orientation scale. The Permission-Limited Information-Specific Suggestions-Intensive Therapy model based on scale was application, and theory of planned behavior was used to examine the relationship of these 3 scales in nurses. MAIN OUTCOME MEASURES:SHC surveys were developed for nurses. These valid and reliable instruments included Nursing Attitude in Sexual Health Care, Nursing Intervention in Sexual Health, and Gender Role Orientation. RESULTS:The fitted structural equation model was valid. The construct reliability of latent variables ranged from 0.730 to 0.942, which met the requirement of 0.70. The attitude about SHC (β = 0.182, P < .001), subjective norms on SHC (β = 0.146, P < .001), and confidence about SHC (β = 0.583, P < .001) had significant effects on the behavioral intention to provide SHC. Subsequently, the behavioral intention to provide SHC had a significant, direct effect on the behavioral frequency of providing SHC (β = 0.356, P < .001). However, gender role orientation was not significantly associated with behavioral intention and behavioral frequency to provide SHC. CONCLUSIONS:The good fit for the structural equation model suggests that the predictors of behavioral intention and behaviors of providing SHC include attitude, subjective norms, and perceived control. The stronger behavioral intention of providing SHC resulted in a higher frequency of providing SHC. However, the relationship between gender role orientation and SHC had no significant effect. Huang C-Y, Liou C-F, Lee S-H, et al. The Relationship Between Gender Role Orientation and Sexual Health Care in Taiwanese Nurses: A Structural Equation Model. Sex Med 2020;8:565-573.
| S-EPMC7471069 | biostudies-literature