Joint trajectories of life style indicators and their links to psychopathological outcomes in the adolescence

Interaction among negative mood, sleep, and diet habits in adolescents with non-suicidal self-injury: A cross-sectional network analysis

BACKGROUND

Non-suicidal self-injury (NSSI) is a serious public health problem that can lead to adverse effects such as cognitive impairment, poor interpersonal relationships and violent crime. The progress of preventing and treating NSSI in adolescents depends on other changeable risk factors, such as negative mood, sleep, and diet habits. However, the risk factors for adolescent NSSI remain unclear. Therefore, this study explores the key factors influencing adolescents' NSSI behavior through the use of network analysis.

METHODS

The study recruited 4040 middle school students aged 12-18 years old. From November 1st, 2023 to January 1st, 2024, paper questionnaires were utilized to investigate the participants' basic conditions, negative mood, NSSI, sleep conditions, and diet habits. Network analysis was used to explore the interrelationship among risk factors and discover the core factor.

RESULTS

In the network structure of adolescents with NSSI behavior, the most correlated nodes were negative emotions (CDI2) and low self-esteem (CDI3). Compared with adolescents without NSSI behavior, adolescents with NSSI behavior showed prominent anxiety symptoms related to injury avoidance (MASC1) and social anxiety (MASC2). Anhedonia (CDI1) was both the central node and the bridge node of the network.

LIMITATION

The cross-sectional design of this study couldn't clarify the causal inference between independent variables and results.

CONCLUSION

Anhedonia is the key factor affecting adolescents' emotion regulation. Furthermore, we hypothesize that adolescent NSSI is an emotional disorder, and anhedonia plays an important role in preventing and intervening in adolescents' NSSI behavior.

Joint Trajectories of Lifestyle Indicators and Their Associations with Blood Pressure among Chinese Middle School Students

Lifestyle behaviors, defined as a combination of dietary behavior, physical activity (PA), screen time (ST), and sleep duration indicators, are strongly associated with blood pressure (BP) in students. Our aim was to characterize the joint trajectories of lifestyle behaviors among middle school students and evaluate their association with BP. Data were obtained from the monitoring dataset on common diseases and health factors among students in Jiading District, Shanghai, China, conducted from 2019 to 2023. Lifestyle behavior data were collected annually from middle school students aged 12-18 years through questionnaires covering dietary behavior score, PA, ST, and sleep duration. Students' BP was measured in 2023. Joint trajectories of lifestyle behaviors were determined using group-based multi-trajectory modeling. Associations between lifestyle trajectories and students' BP were examined using multiple linear regression and modified Poisson regression. A total of 1378 middle school students (759 [58.98%] boys, median age 14.36 years [IQR: 13·30-13.28]) with lifestyle behaviors data assessed at least three times were included, and they were categorized into four joint lifestyle trajectories as follows: "remain unhealthy with low PA and increasing ST" (n = 141, 10.46%), "remain unhealthy with only low PA" (n = 305, 22.63%), "change towards unhealthy with decreasing sleep duration" (n = 776, 57.57%), and "relatively healthy" (n = 126, 9.35%). After adjusting for important confounders, the "remain unhealthy with low PA and increasing ST" group was associated with higher diastolic BP (DBP) [β: 3.49, 95% CI: 0.55-6.44] and higher mean arterial pressure (MAP) [β: 3.19, 95% CI: 0.37-6.01] in students compared with the "relatively healthy" group. Additionally, compared with the "relatively healthy" group, students in the "remain unhealthy with low PA and increasing ST" group had a 1.12-fold increase in the risk of hypertension (risk ratios: 1.12, 95% CI: 1.03-1.24). All trend p values in DBP, MAP, and hypertension from the "relatively healthy" group to the "remain unhealthy with low PA and increasing ST" group were less than 0.05. Four distinct lifestyle trajectories were identified among middle school students. Students who remained in the "unhealthy with low PA and increasing ST" lifestyle trajectory were associated with later elevations in BP.

A Longitudinal Study of the Use and Effects of Fall-Risk-Increasing Drugs in Residential Aged Care

OBJECTIVES

Fall-risk-increasing drugs (FRIDs)-psychotropics and cardiovascular disease (CVD) drugs-may elevate the risk of falling, with strong evidence observed in psychotropic FRIDs, whereas findings from cardiovascular disease (CVD) FRIDs remain inconclusive. Existing studies on FRIDs and falls are often hampered by methodologic limitations. Leveraging longitudinal observational data, we aimed to determine the long-term patterns of FRID use and their association with falls in residential aged care (RAC) homes.

DESIGN

A retrospective longitudinal cohort study.

SETTING AND PARTICIPANTS

A total of 4207 permanent residents newly admitted to 27 RAC homes in Sydney, Australia.

METHOD

The outcomes were incidence of all and injurious falls. We measured exposure to each FRID over 60 months using the Proportion of Days Covered (PDC) metric. We used group-based multitrajectory modeling to determine concurrent usage patterns of psychotropics and CVD FRIDs and applied negative binomial regression to assess their associations with the outcomes.

RESULTS

A total of 83.6% (n = 3516) and 77.3% (n = 3254) residents used psychotropic and CVD FRIDs, respectively. The PDC values ranged from 67.3% (opioids) to 86.9% (antidepressants) for specific psychotropics and 79.0% (α-adrenoceptor antagonists) to 89.6% (β blockers) for CVD FRIDs. We identified 4 groups: group 1, low psychotropics-low CVDs use (16.7%, n = 701); group 2, low psychotropics-high CVDs (25.0%, n = 1054); group 3, high psychotropics-high CVDs (41.0%, n = 1723); and group 4, high psychotropics-low CVDs (17.3%, n = 729). Group 4 had a significantly higher rate of falls than the other groups for both outcomes, including relative to group 3, in which exposure to both FRID classes was high.

CONCLUSIONS AND IMPLICATIONS

Our findings reveal concerningly high FRID use in RAC homes and highlight a critical difference in the impact of the 2 major FRID classes on falls. Psychotropics were strongly associated with falls, whereas the studied CVD FRIDs did not elevate risk of falling.

Trajectories of lifestyle patterns from 2 to 8 years of age and cardiometabolic risk in children: the GUSTO study

BACKGROUND

Tracking combinations of lifestyle behaviours during childhood ("lifestyle pattern trajectories") can identify subgroups of children that might benefit from lifestyle interventions aiming to improve health outcomes later in life. However, studies on the critical transition period from early to middle childhood are limited. We aimed to describe lifestyle patterns trajectories in children from 2 to 8 years of age and evaluated their associations with cardiometabolic risk markers at age 8 years in a multi-ethnic Asian cohort.

METHODS

Twelve lifestyle behaviours related to child's diet, physical activity, screen use, and sleep were ascertained using questionnaires at ages 2, 5, and 8 years. Age-specific lifestyle patterns were derived using principal component analysis and trajectories were determined using group-based multi-trajectory modelling. Child cardiometabolic risk markers were assessed at age 8 years, and associations with trajectories examined using multiple regression, adjusted for confounders.

RESULTS

Among 546 children, two lifestyle patterns "healthy" and "unhealthy" were observed at ages 2, 5, and 8 years separately. Three trajectory groups from 2 to 8 years were identified: consistently healthy (11%), consistently unhealthy (18%), and mixed pattern (71%). Children in the consistently unhealthy group (vs. mixed pattern) had increased odds of pre-hypertension (OR = 2.96 [95% CI 1.18-7.41]) and higher levels of diastolic blood pressure (β = 1.91 [0.27-3.55] mmHg), homeostasis model assessment of insulin resistance (β = 0.43 [0.13-0.74]), triglycerides (β = 0.11 [0.00-0.22] mmol/L), and metabolic syndrome score (β = 0.85 [0.20-1.49]), but not with BMI z-score or any anthropometric measurements. The consistently healthy group showed no differences in cardiometabolic outcomes compared to the mixed pattern group.

CONCLUSION

Three distinct lifestyle pattern trajectories were identified from early to middle childhood. Children in the consistently unhealthy lifestyle group did not have a raised BMI but was associated with several elevated cardiometabolic risk markers. These findings suggest the potential benefits of initiating holistic lifestyle interventions to improve children's health and well-being from an early age.

TRIAL REGISTRATION

Trial registration number: NCT01174875. Name of registry: ClinicalTrials.gov. URL of registry: https://classic.

CLINICALTRIALS

gov/ct2/show/NCT01174875 . Date of registration: August 4, 2010. Date of enrolment of the first participant to the trial: June 2009.

Adverse childhood experiences, unhealthy lifestyle, and nonsuicidal self-injury: findings from six universities in Shaanxi province, China

Background

Nonsuicidal self-injury (NSSI) is a serious public health problem. The role of adverse childhood experiences (ACEs) and lifestyle on the risk for NSSI is still underexplored, especially among college students. We aimed to investigate the association of ACEs with the risk of NSSI, and effect modifications by lifestyle among college students.

Methods

A total of 18,723 college students from six universities were recruited through a multistage, random cluster sampling method in Shaanxi province, China. The Adverse Childhood Experiences International Questionnaire was used to assess ACEs for each participant, and the Chinese version of the Ottawa Self-injury Inventory was used to assess the presence or absence of NSSI behaviors. Information about lifestyle was collected by a self-designed questionnaire. The associations of NSSI with ACEs and lifestyle were analyzed using logistic regression models. Furthermore, we constructed a combination score of multiple lifestyles and evaluated whether lifestyle modified the effect of ACEs on the risk of NSSI.

Results

The prevalence of NSSI for the past 1 month, 6 months, and 12 months was 3.8, 5.3, and 6.5%, respectively. 82.6% of participants have reported experiencing at least one type of ACEs, and participants with higher levels of ACEs (≥4) were more likely to have higher odds of developing NSSI during the past 1 month (OR, 4.10; 95%CI, 3.38-4.97), 6 months (OR, 4.76; 95%CI, 4.03-5.62), and 12 months (OR, 5.62; 95%CI, 4.83-6.55), as compared with participants with low levels of ACEs (0-1). There were additive interactions between ACEs and lifestyle. Compared with participants with low levels of ACEs and healthy lifestyle, participants with high levels of ACEs and unhealthy lifestyle had the highest odds of NSSI during the past 1 month (OR, 5.56; 95%CI, 3.80-8.31), 6 months (OR, 6.62; 95%CI, 4.73-9.42), and 12 months (OR, 7.62; 95%CI, 5.59-10.52).

Conclusion

These results suggest that ACEs play an important role in the occurrence of NSSI among college students, especially in those with unhealthy lifestyle. Our findings may help develop targeted intervention strategies for the prevention of NSSI.

Trajectories of 24-h movement guidelines from middle adolescence to adulthood on depression and suicidal ideation: a 22-year follow-up study

Background:

The 24-h movement guidelines for youth and adults recommend the specific duration of physical activity, sedentary time, and sleep duration to ensure optimal health, but little is known about its relationship to mental health indicators. The aim of the study was to explore the association between 24-h movement guidelines in adolescence and its trajectories from middle adolescence (12–17 years old) to adulthood (33–39 years old) with depression and suicidal ideation in adulthood.

Methods:

This prospective cohort study included individuals who participated in Waves I (1994–1995) and V (2016–2018) of the National Longitudinal Study of Adolescent Health (Add Health) in the United States. Physical activity, screen time and sleep duration were measured using questionnaires. Adults were categorized as having depression if they had a self-reported history of depression and/or prescription medication-use for depression in the previous four weeks. Suicidal ideation was assessed by a self-reported single question in both waves. Poisson regression analyses were used to estimate the incidence rate ratio (IRR) of depression and suicidal ideation at adulthood, according to meeting specific and combinations of 24-h movement guidelines at Wave I and its trajectories from adolescence to adulthood.

Results:

The study included 7,069 individuals (56.8% women). Adolescents who met physical activity guidelines and all three guidelines at middle adolescence had lower risk of depression (IRR = 0.84, 95%CI 0.72 to 0.98) and suicidal ideation (IRR = 0.74, 95%CI 0.55 to 0.99) at adulthood than those who did not meet any of these guidelines, respectively. Individuals who met the guidelines for screen time and all three guidelines in both adolescence and adulthood had lower risk of depression (screen time, IRR = 0.87, 95% CI 0.72 to 0.98; all three, IRR = 0.37, 95% CI 0.15 to 0.92) and suicidal ideation (screen time, IRR = 0.74, 95% CI 0.51 to 0.97; all three, IRR = 0.12, 95% CI 0.06 to 0.33) than those who never met the guidelines. Additionally, individuals who did not meet all three guidelines in adolescence but met the guidelines in adulthood had lower risk of suicidal ideation than those who never met the guidelines (IRR = 0.81, 95%CI 0.45 to 0.89).

Conclusion:

Our findings highlight the importance of promoting and maintaining adherence to the 24-h movement guidelines from middle adolescence to adulthood to prevent mental health problems. However, our findings must be interpreted carefully due to declared limitations, e.g., the self-reported assessments which are subject to sources of error and bias or that the dataset used to gauge meeting a guidelines (1994–1996) was made later (2016).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-022-01367-0.