1.Associations between adverse childhood experiences and diabetes among middle-aged and older Chinese: a social-ecological perspective
Siyu ZHU ; Leying HOU ; Jiaying MA ; Shuting LI ; Weidi SUN ; Wen LIU ; Jiajun HAO ; Wenhan XIAO ; Siqing CHENG ; Dexing ZHANG ; Dong ZHAO ; Peige SONG
Epidemiology and Health 2023;45(1):e2023071-
OBJECTIVES:
This study examined the associations between adverse childhood experiences (ACEs) and diabetes within a social-ecological framework, incorporating personal and environmental unfavorable conditions during childhood from family, school, and community contexts.
METHODS:
Data were obtained from the China Health and Retirement Longitudinal Study (2014 life history survey and 2015 survey), including 9,179 participants aged ≥45 years. ACEs were collected through self-report questionnaires, and participants were categorized based on the number of distinct ACEs experienced (0, 1, 2, 3, or ≥4 ACEs). Diabetes was defined by biomarkers, self-reported diagnosis, and treatment status. Logistic regression was conducted to explore the associations between ACEs and diabetes. Subgroup analyses were conducted by gender, age, and obesity status.
RESULTS:
Compared with participants without ACEs, those exposed to any ACE (odds ratio [OR], 1.19; 95% confidence interval [CI], 1.01 to 1.40), 3 ACEs (OR, 1.32; 95% CI, 1.07 to 1.62) and ≥4 ACEs (OR, 1.29; 95% CI, 1.07 to 1.56) had an increased risk of diabetes. For each additional ACE, the risk of diabetes increased by about 5%. Regarding the source of ACEs, those originating from the family (OR, 1.23; 95% CI, 1.08 to 1.41) were associated with diabetes. In terms of specific ACE types, family members with substance abuse (OR, 1.23; 95% CI, 1.01 to 1.52), emotional abuse (OR, 1.28; 95% CI, 1.12 to 1.46), and poor parental relationship (OR, 1.25; 95% CI, 1.09 to 1.43) were associated with diabetes.
CONCLUSIONS
ACEs, particularly those originating from the family, were associated with diabetes. Interventions aimed at preventing and mitigating ACEs are essential for the early prevention of diabetes.
2.cFos-ANAB: A cFos-based Web Tool for Exploring Activated Neurons and Associated Behaviors.
Fan WANG ; Wenjie SUN ; Lei CHANG ; Kefang SUN ; Leying HOU ; Linna QIAN ; Chaoyin JIN ; Jiandong CHEN ; Jiali PU ; Panmeng YE ; Shuang QIU ; Jianhong LUO ; Shumin DUAN ; Baorong ZHANG ; Zhihua GAO ; Xiaojun HU
Neuroscience Bulletin 2021;37(10):1441-1453
cFos is one of the most widely-studied genes in the field of neuroscience. Currently, there is no systematic database focusing on cFos in neuroscience. We developed a curated database-cFos-ANAB-a cFos-based web tool for exploring activated neurons and associated behaviors in rats and mice, comprising 398 brain nuclei and sub-nuclei, and five associated behaviors: pain, fear, feeding, aggression, and sexual behavior. Direct relationships among behaviors and nuclei (even cell types) under specific stimulating conditions were constructed based on cFos expression profiles extracted from original publications. Moreover, overlapping nuclei and sub-nuclei with potentially complex functions among different associated behaviors were emphasized, leading to results serving as important clues to the development of valid hypotheses for exploring as yet unknown circuits. Using the analysis function of cFos-ANAB, multi-layered pictures of networks and their relationships can quickly be explored depending on users' purposes. These features provide a useful tool and good reference for early exploration in neuroscience. The cFos-ANAB database is available at www.cfos-db.net .
Animals
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Fear
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Mice
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Neurons
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Proto-Oncogene Proteins c-fos
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Rats
3. cFos-ANAB: A cFos-based Web Tool for Exploring Activated Neurons and Associated Behaviors
Fan WANG ; Shuang QIU ; Jianhong LUO ; Shumin DUAN ; Zhihua GAO ; Wenjie SUN ; Lei CHANG ; Kefang SUN ; Leying HOU ; Linna QIAN ; Chaoyin JIN ; Jiandong CHEN ; Xiaojun HU ; Jiali PU ; Baorong ZHANG ; Xiaojun HU ; Panmeng YE
Neuroscience Bulletin 2021;37(10):1441-1453
cFos is one of the most widely-studied genes in the field of neuroscience. Currently, there is no systematic database focusing on cFos in neuroscience. We developed a curated database—cFos-ANAB—a cFos-based web tool for exploring activated neurons and associated behaviors in rats and mice, comprising 398 brain nuclei and sub-nuclei, and five associated behaviors: pain, fear, feeding, aggression, and sexual behavior. Direct relationships among behaviors and nuclei (even cell types) under specific stimulating conditions were constructed based on cFos expression profiles extracted from original publications. Moreover, overlapping nuclei and sub-nuclei with potentially complex functions among different associated behaviors were emphasized, leading to results serving as important clues to the development of valid hypotheses for exploring as yet unknown circuits. Using the analysis function of cFos-ANAB, multi-layered pictures of networks and their relationships can quickly be explored depending on users’ purposes. These features provide a useful tool and good reference for early exploration in neuroscience. The cFos-ANAB database is available at www.cfos-db.net.