Patterns of achievement attribution of Chinese adults and their sociodemographic characteristics and psychological outcomes: A large-sample longitudinal study

2022 ◽  
Vol 184 ◽  
pp. 111230
Author(s):  
Xiaoyu Ge ◽  
Yubo Hou
Keyword(s):  
Longitudinal Study ◽  
Psychological Outcomes ◽  
Sociodemographic Characteristics ◽  
Chinese Adults ◽  
Large Sample

The bidirectional association between Internet addiction and depression: a large-sample longitudinal study among Chinese university students (Preprint)

2020 ◽  
Author(s):  
Wan-Jun Guo ◽  
Xia Yang ◽  
Yu-Jie Tao ◽  
Ya-Jing Meng ◽  
Hui-Yao Wang ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Internet Addiction ◽  
Causal Effects ◽  
Causal Relationships ◽  
Depression Severity ◽  
Large Sample ◽  
Panel Model ◽  
Bidirectional Association ◽  
Predictive Effect

BACKGROUND Evidence indicates that Internet addiction (IA) is associated with depression, but longitudinal studies have rarely been reported, and no studies have yet investigated potential common vulnerability or a possible specific causal relationship between these disorders. OBJECTIVE To overcome these gaps, the present 12-month longitudinal study based on a large-sample employed a cross-lagged panel model (CLPM) approach to investigate the potential common vulnerability and specific cross-causal relationships between IA and CSD (or depression). METHODS IA and clinically-significant depression (CSD) among 12 043 undergraduates were surveyed at baseline (as freshmen) and in follow-up after 12 months (as sophomores). Application of CLPM revealed two well-fitted design between IA and CSD, and between severities of IA and depression, adjusting for demographics. RESULTS Rates of baseline IA and CSD were 5.47% and 3.85%, respectively; increasing to 9.47% and 5.58%, respectively at follow-up. Among those with baseline IA and CSD, 44.61% and 34.48% remained stable at the time of the follow-up survey, respectively. Rates of new-incidences of IA and CSD over 12 months were 7.43% and 4.47%, respectively. Application of a cross-lagged panel model approach (CLPM, a discrete time structural equation model used primarily to assess causal relationships in real-world settings) revealed two well-fitted design between IA and CSD, and between severities of IA and depression, adjusting for demographics. Models revealed that baseline CSD (or depression severity) had a significant net-predictive effect on follow-up IA (or IA severity), and baseline IA (or IA severity) had a significant net-predictive effect on follow-up CSD (or depression severity). CONCLUSIONS These correlational patterns using a CLPM indicate that both common vulnerability and bidirectional specific cross-causal effects between them may contribute to the association between IA and depression. As the path coefficients of the net-cross-predictive effects were significantly smaller than those of baseline to follow-up cross-section associations, vulnerability may play a more significant role than bidirectional-causal effects. CLINICALTRIAL Ethics Committee of West China Hospital, Sichuan University (NO. 2016-171)

A18757 Longitudinal study on the effects of dietary mineral intakes to blood pressure in Chinese adults

2018 ◽  
Vol 36 ◽  
pp. e346
Author(s):  
Ziqi Liu ◽  
Aiping Fang ◽  
Jingjing He ◽  
Xin Shen ◽  
Xintian Zhao ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Longitudinal Study ◽  
Chinese Adults

scholarly journals The Office for National Statistics Longitudinal Study

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Alison Sizer ◽  
Oliver Duke-Williams
Keyword(s):  
Longitudinal Study ◽  
Census Data ◽  
Sampling Bias ◽  
Large Sample Size ◽  
England And Wales ◽  
Large Sample ◽  
Small Areas ◽  
Pension Age ◽  
The Uk ◽  
State Pension

Background and Rationale The ONS Longitudinal Study (‘the LS’) covers England and Wales and includes individual data from the 1971 – 2011 decennial censuses and linked information on births, deaths and cancer registrations. It is representative of the population of England and Wales. Aim This presentation describes the LS and the linked administrative data, and showcases recent/ prominent examples of research. Methods and Approach The LS is built around samples drawn from decennial censuses, with its initial sample drawn from the 1971 Census. It also contains information about other people living in a sample-member’s household. Substantial emphasis is placed on security of access to the data and its responsible use. All research outputs are checked and are only released to users once disclosure control requirements are met. Linkage of study members from one census to another and vital events is carried out by ONS. Results The LS has been used for a variety of research. Using linked census and death records occupational differences in mortality rates have been researched. Individual records from all five censuses have been used to contribute to research social mobility, and research has also investigated the effects of long-term exposure to air pollution. Research has provided evidence of impact for social policy issues, e.g. health inequalities and the State Pension Age Review. Discussion The main strength of the LS is its large sample size (>1 million), making it the largest nationally representative longitudinal dataset in the UK. This allows analysis of small areas and specific population groups. Sampling bias is almost nil, and response rates are very high relative to other cohort and panel studies. Conclusion The ONS Longitudinal Study is a vital UK research asset, providing access to a large sample of census data linked across five censuses. It is strengthened through linkage to events data.

scholarly journals Co-occurrence of cardiometabolic diseases and frailty in older Chinese adults in the Beijing Longitudinal Study of Ageing

2013 ◽  
Vol 42 (5) ◽  
pp. 663-663
Author(s):  
Z. Tang ◽  
C. Wang ◽  
X. Song ◽  
J. Shi ◽  
A. Mitnitski ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Chinese Adults ◽  
Cardiometabolic Diseases ◽  
Older Chinese ◽  
Older Chinese Adults

scholarly journals Establishment of Prediction Equations of Lean Body Mass Suitable for Chinese Adults

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Jinhua Li ◽  
Jingjie Shang ◽  
Bin Guo ◽  
Jian Gong ◽  
Hao Xu
Keyword(s):  
Lean Body Mass ◽  
Body Mass ◽  
Predictive Ability ◽  
Female Group ◽  
Chinese Adults ◽  
Multilinear Regression ◽  
Predictive Equations ◽  
Large Sample ◽  
Multilinear Regression Analysis ◽  
Southern Chinese

Aim. To develop predictive equations of lean body mass (LBM) suitable for healthy southern Chinese adults with a large sample. LBM measured by dual-energy X-ray absorptiometry (DXA) are considered as the standard ones. Methods. Retrospective analysis was conducted on the consecutive people who did total body measurement with DXA from July 2005 to October 2015. People with diseases that might affect LBM were excluded and overall 12,194 subjects were included in this study. Information about the 10,683 subjects (2,987 males and 7,696 females) from July 2005 to November 2014 was used to establish equations. These subjects were grouped by sex and then subdivided according to their body mass index (BMI). The female group was divided into another two subgroups: the premenopausal and postmenopausal subgroups. Equations were developed through stepwise multilinear regression analysis of height, weight, age, and BMI. Information about the 1,511 subjects (395 males and 1116 females) from December 2014 to October 2015 was used to verify the established equations. Results. BMI, height, weight, and age were introduced into the equations as independent variables in the male group, while age was proved to have no influence on LBM in the female group. Regrouping according to BMI or menopause did not increase the predictive ability of equations. Good agreement between LBM evaluated by equation (LBM_PE) and LBM measured by DXA (LBM_DXA) was observed in both the male and female groups. Conclusion. Predictive equations of LBM suitable for healthy southern Chinese adults are established with a large sample. BMI was related to LBM content; however, there is no need for further group based on BMI or menopause while developing LBM questions.

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