Investigating the relationship between district-level socioeconomic status and individual obesity in Taiwanese adolescents: A large-scale cross-sectional analysis

The mediating role of community identity in the relationship between social class and life satisfaction: Evidence from Chinese community residents

Research has shown that social class is an important predictor of life satisfaction. However, the underlying mechanism for this relationship is yet to be fully elucidated. The study examined the underlying mechanism based on the social identity approach to health. Study 1 recruited 577 community residents to complete self-report questionnaires. Correlation analysis showed that social class, community identity, and life satisfaction were positively correlated with each other. Regression analysis showed that community identity mediated the relationship. To increase the replicability and derive causal inference of the results, Study 2 was a randomized control trial (N = 76) that used the resource-availability task to manipulate subjective social class, and found that life satisfaction in the lower-class group was significantly lower than that in the control group. Further analysis showed that social class predicted life satisfaction through the mediating role of community identity. The findings provide potential strategies to enhance community residents' life satisfaction.

Community detection in the human connectome: Method types, differences and their impact on inference

Community structure is a fundamental topological characteristic of optimally organized brain networks. Currently, there is no clear standard or systematic approach for selecting the most appropriate community detection method. Furthermore, the impact of method choice on the accuracy and robustness of estimated communities (and network modularity), as well as method-dependent relationships between network communities and cognitive and other individual measures, are not well understood. This study analyzed large datasets of real brain networks (estimated from resting-state fMRI fromn $$ n $$ = 5251 pre/early adolescents in the adolescent brain cognitive development [ABCD] study), andn $$ n $$ = 5338 synthetic networks with heterogeneous, data-inspired topologies, with the goal to investigate and compare three classes of community detection methods: (i) modularity maximization-based (Newman and Louvain), (ii) probabilistic (Bayesian inference within the framework of stochastic block modeling (SBM)), and (iii) geometric (based on graph Ricci flow). Extensive comparisons between methods and their individual accuracy (relative to the ground truth in synthetic networks), and reliability (when applied to multiple fMRI runs from the same brains) suggest that the underlying brain network topology plays a critical role in the accuracy, reliability and agreement of community detection methods. Consistent method (dis)similarities, and their correlations with topological properties, were estimated across fMRI runs. Based on synthetic graphs, most methods performed similarly and had comparable high accuracy only in some topological regimes, specifically those corresponding to developed connectomes with at least quasi-optimal community organization. In contrast, in densely and/or weakly connected networks with difficult to detect communities, the methods yielded highly dissimilar results, with Bayesian inference within SBM having significantly higher accuracy compared to all others. Associations between method-specific modularity and demographic, anthropometric, physiological and cognitive parameters showed mostly method invariance but some method dependence as well. Although method sensitivity to different levels of community structure may in part explain method-dependent associations between modularity estimates and parameters of interest, method dependence also highlights potential issues of reliability and reproducibility. These findings suggest that a probabilistic approach, such as Bayesian inference in the framework of SBM, may provide consistently reliable estimates of community structure across network topologies. In addition, to maximize robustness of biological inferences, identified network communities and their cognitive, behavioral and other correlates should be confirmed with multiple reliable detection methods.

Impact of household income on the risk of overweight and obesity over time among preschool-aged children: a population-based cohort study

BACKGROUND

The temporality of household income level with overweight/obesity in children has not been extensively studied. Little research has been conducted to determine the impact of household income on the risk of childhood overweight/obesity over time. This population-based cohort study aimed to investigate the impact of household income on the risk of overweight/obesity over time among preschool-aged children in Taiwan.

METHODS

From 2009 to 2018, we recruited 1,482 preschool-aged children ( ≦ 7 y of age) from low-income households and selected age- and sex-matched controls from non-low-income households for comparison; All participants were selected from those who consistently participated in the Taipei Child Development Screening Program and were monitored for overweight/obesity using body mass index (BMI) until December 31, 2018. Low-income households were defined as those with an average monthly disposable income < 60% of the minimum standard of living expense in Taiwan. The primary outcome was childhood overweight or obesity in study participants, defined as BMI (kg/m2) ≥ 85th percentile or ≥ 95th percentile, respectively. The generalized estimating equations (GEE) model was used to determine the impact of low-income households on the risk of overweight/obesity in study participants.

RESULTS

Over 21,450 person-years of follow-up, 1,782 participants developed overweight /obesity, including 452 (30.5%) and 1,330 (22.4%) children from low- and non-low-income households, respectively. The GEE model showed that the first group had a significantly higher risk of becoming overweight/obese than the other during the follow-up period (adjusted odds ratio [aOR] = 1.44, 95% CI: 1.29-1.60). Moreover, children of foreign mothers had a higher risk of becoming overweight/obese than those of Taiwanese mothers during the follow-up period (aOR = 1.51, 95% CI: 1.24-1.8). The subgroup analysis revealed a significant association between low-income households and an increased risk of overweight/obesity in children aged 2-7 years (P =.01). However, this association was not observed in children aged 0-1 years (P >.999).

CONCLUSIONS

During the follow-up period, there was a notable correlation between low-income households and an increased risk of preschool-aged children developing overweight or obesity. Implementing health promotion initiatives aimed at reducing overweight and obesity in this demographic is crucial.

Association between lifestyle-related, psychosocial factors and obesity among female adolescents in Taiwan

PURPOSE

To examine a wide range of potential contributors to the risk of obesity in female adolescents.

DESIGN AND METHODS

Data for this study were collected using a cross-sectional design. A group of 175 female adolescents were recruited, and information on their demographic characteristics, lifestyle-related behaviors, and psychosocial factors was collected using a self-administered questionnaire during September 2018 to January 2019. Data were analyzed using SPSS 24.0.

RESULTS

An overestimation of body weight was negatively correlated with overweight in the female adolescents. Age at menarche was negatively correlated with the arisk of overweight. Adolescents who slept for >7 h on weekend nights were less likely to be overweight. Eating more cheese, fish, seafood, and organ meats was negatively correlated with obesity risk. The female adolescents were more likely to become overweight if they ate dinners prepared by family and experienced more disturbances from parents and other family members.

CONCLUSIONS

Female adolescents are a unique population affected by obesity. Although incorporating both lifestyle-related behavioral and psychosocial factors in future investigations and developing multicomponent interventions for obesity prevention are crucial, female adolescents should receive the utmost attention from researchers to alleviate the health burden of obesity.

PRACTICE IMPLICATIONS

The intertwined nature of obesity-related factors warrants future investigations to elaborate their roles interplaying with the risk of obesity. Multicomponent interventions should be developed, and nurses and health-care providers should target their efforts on obesity prevention for this specific population.

Social alienation of adolescents with obesity in classrooms: A multilevel approach

INTRODUCTION

Adolescents with obesity are more likely to be isolated by peers, but whether they also choose to disengage from their peers remains unclear.

METHODS

This study examined a sample of 646 adolescents between the age of 13 and 16 across 34 classrooms in 3 junior high schools in Taiwan, with data collected from May to June 2019. The sociometric network nomination method assessed peer relationships, such as unpopularity, unsociability, and alienation. Multilevel models were applied to explore the extent to which the class-level prevalence of overweight and obesity and peer support moderate the relationship between student-level obesity and peer relationships.

RESULTS

Overall, students with obesity were more likely to experience unpopularity, unsociability, and alienation from their peers in classroom settings (adjusted odds ratio [AOR] = 1.904, 2.208, 2.777, p < .05). Regardless of their obesity status, students in high classroom peer support were less likely to report unsociability (AOR = 0.124, p < .05). No cross-level interactions were observed, indicating that students with obesity did not experience a reduction of peer rejection in high peer support classrooms. Neither did obese students in classrooms with higher rates of overweight and obesity.

CONCLUSIONS

Students with obesity were more likely to experience interpersonal problems. Classroom peer support can increase peer acceptance for typical students but has no beneficial influence on adolescents with weight problems. Classroom peer support needs to be directed to become adequate support for students with obesity.

Identifying Patterns of Symptom Distress in Pregnant Women: A Pilot Study

During pregnancy, a woman's enlarged uterus and the developing fetus lead to symptom distress; in turn, physical and psychological aspects of symptom distress are often associated with adverse prenatal and birth outcomes. This study aimed to identify the trends in the trajectory of these symptoms. This longitudinal study recruited 95 pregnant women, with a mean age of 32 years, from the prenatal wards of two teaching hospitals in northern Taiwan. Symptom distress was measured by a 22-item scale related to pregnancy-induced symptoms. The follow-up measurements began during the first trimester and were taken every two to four weeks until childbirth. More than half of the pregnant women experienced symptom distress manifested in a pattern depicted to be "Decreased then Increased" (56.8%). Other noticeable patterns were "Continuously Increased" (28.4%), "Increased then Decreased" (10.5%) and "Continuously Decreased" (4.2%), respectively. It is worth noting that most pregnant women recorded a transit and increase in their symptom distress, revealed by their total scores, at the second trimester (mean 22.02 weeks) of pregnancy. The participants' major pregnancy-related distress symptoms were physical and included fatigue, frequent urination, lower back pain, and difficulty sleeping. The mean scores for individual symptoms ranged from 2.32 to 3.61 and were below the "moderately distressful" level. This study provides evidence that could be used to predict women's pregnancy-related symptom distress and help healthcare providers implement timely interventions to improve prenatal care.

The Association between Body Mass Index and Physical Fitness of Normal Weight/Overweight/Obese University Students

This study aimed to apply longitudinal data (in four waves) to examine relationships between body mass index (BMI), flexibility, muscular endurance, and explosive power, and employed a random-intercept panel model (RIPM) to divide the variations of different waves into between- and within-person variations. Furthermore, a multi-group model test was conducted to explore whether an interaction effect existed between sex and these relationships. The data were collected from a university in Taiwan between August 2009 and July 2010, and 3863 freshman and junior students were recruited. Results showed that the between- and within-person relationships between BMI and explosive power, and between BMI and muscular endurance, were negative (independent of sex). The negative between- and within-person associations between BMI and muscular endurance were both invariant with respect to sex. The negative between-person associations between BMI and explosive power were not equivalent for both sexes, yet the within-person associations between BMI and explosive power were equivalent for both sexes. The between-person associations between BMI and flexibility were positive for both sexes, but the within-person associations of these two variables were negative for both sexes. The invariance test confirmed that the positive associations of between-person BMI and between-person flexibility were invariant for both sexes, yet the negative associations of within-person BMI and within-person flexibility were not equivalent for both sexes. Between-and within-person correlations among explosive power, muscular endurance, and flexibility were significantly positive. Only the auto-regressions of BMI and muscular endurance were significant and equivalent for both sexes.

Unequal Protective Effects of Parental Educational Attainment on the Body Mass Index of Black and White Youth

BACKGROUND

Parental educational attainment is shown to be protective against health problems; the Minorities' Diminished Returns theory, however, posits that these protective effects tend to be smaller for socially marginalized groups particularly blacks than whites.

AIMS

To explore racial differences in the effect of parental educational attainment on body mass index (BMI) in a national sample of US adolescents.

METHODS

In this cross-sectional study, we used baseline data of 10,701 (8678 white and 2023 black) 12-17 years old adolescents in the Population Assessment of Tobacco and Health (PATH; 2013). Parental educational attainment was the predictor. Youth BMI (based on self-reported weight and height) was the dependent variable. Age, gender, ethnicity, and family structure were covariates. Race was the focal moderator.

RESULTS

Overall, higher parental educational attainment was associated with lower youth BMI. Race, however, moderated the effect of parental educational attainment on BMI, suggesting that the protective effect of parental educational attainment on BMI is significantly smaller for black than white youth.

CONCLUSIONS

In the United States, race alters the health gains that are expected to follow parental educational attainment. While white youth who are from highly educated families are fit, black youth have high BMI at all levels of parental educational attainment. This means, while the most socially privileged group, whites, gain the most health from their parental education, blacks, the least privileged group, gain the least. Economic, social, public, and health policymakers should be aware that health disparities are not all due to lower socioeconomic status (SES) of the disadvantaged group but also diminished returns of SES resources for them. Black-white health disparities exist across all high socioeconomic status (SES) levels.

Parental Educational Attainment and Chronic Medical Conditions among American Youth; Minorities' Diminished Returns

Background: Parental educational attainment is protective against chronic medical conditions (CMCs). According to the minorities’ diminished returns (MDRs) theory, however, the health effects of socioeconomic status (SES) indicators are smaller for socially marginalized groups such as racial and ethnic minorities rather than Whites. Aims: To explore racial and ethnic differences in the effect of parental educational attainment on CMCs in a nationally representative sample of American youth. Methods: In this cross-sectional study, we used baseline data of 10,701 12–17 years old youth in the Population Assessment of Tobacco and Health (PATH; 2013). Parental educational attainment was the independent variable. The dependent variable was the number of CMCs in youth. Age, gender, and family structure were covariates. Race and ethnicity were the focal moderators. Linear and multinomial regression were applied to analyze the data. Results: Overall, higher parental educational attainment was associated with a lower number of CMCs. Race and ethnicity, however, showed significant interactions with parental educational attainment on a number of CMCs as well as 2+ CMCs, suggesting that the effect of parenting educational attainment on CMCs is significantly smaller for Black and Hispanic than White youth. Conclusions: In the United States, race and ethnicity alter the health gains that are expected to follow parental educational attainment. While White youth who are from highly educated families are most healthy, Black and Hispanic youth from highly educated families remain at higher risk for CMCs. That means, while the most socially privileged group, Whites, gain the most health from their parental education, Blacks and Hispanics, the least privileged groups, gain the least. The result is a disproportionately high number of CMCs in middle-class Blacks and Hispanics. Economic, social, public, and health policy makers should be aware that health disparities are not all due to lower SES of the disadvantaged group but also diminished returns of SES resources for them. Youth physical health disparities due to race and ethnicity exist across all SES levels.