» Articles » PMID: 33191528

Screen-detected Disordered Eating and Related Traits in a Large Population Sample of Females in Mainland China: China Health and Nutrition Survey

Overview
Publisher Wiley
Specialty Social Sciences
Date 2020 Nov 16
PMID 33191528
Citations 13
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: We describe the prevalence and sociodemographic factors associated with screen-detected disordered eating and related traits in a population-based sample of women in China. We also explored prevalence trends over time.

Method: A total of 4,218 females aged 12-50 were sampled from 15 provinces as part of the China Health and Nutrition Survey (CHNS) in 2015. The SCOFF questionnaire screened for disordered eating and the selected questions from the Eating Disorders Examination-Questionnaire measured dietary restraint, shape concerns, and weight concerns. Body mass index (BMI) was measured and sociodemographic factors captured urban/rural residence, age, ethnicity, income, education, marital status, and occupational status. We calculated the prevalence of screen-detected disordered eating and related traits broadly and across several dimensions and compared prevalence estimates to 2009 and 2011 reports.

Results: We detected 296 individuals who screened positive for disordered eating on the SCOFF (prevalence = 7.04%). Positive screens were associated with urban residence (p = .002) and higher education levels (p < .001). Scores on restraint, shape concerns, and weight concerns were all higher for individuals in urban versus village locations (all p's < .001), and with higher BMI (p < .001) for shape and weight concerns. The prevalence of screen-detected disordered eating increased numerically across 2009, 2011, and 2015.

Discussion: The prevalence of screen-detected disordered eating in mainland China was comparable to other populations worldwide obtained from a recent meta-analysis. The distribution of disordered eating and related traits varied by several sociodemographic factors, which include age, BMI, urban/rural residence, education, and income, suggesting important directions for case detection and intervention in China.

Citing Articles

Exploring the self-perceived causes of eating disorders among Chinese social media users with self-reported eating disorders.

He J, Zhang Y, Liu Z, Barnhart W, Cui S, Chen S J Eat Disord. 2024; 12(1):201.

PMID: 39639356 PMC: 11619210. DOI: 10.1186/s40337-024-01159-w.


Disordered eating and cardiometabolic risk factors in Chinese women: evidence from the China Health and Nutrition Survey.

Qi B, Cooper G, Thornton L, Zhang R, Yao S, Howard A Br J Nutr. 2024; 132(5):631-639.

PMID: 39308203 PMC: 11531933. DOI: 10.1017/S0007114524001983.


The use and misuse of the SCOFF screening measure over two decades: a systematic literature review.

Coop A, Clark A, Morgan J, Reid F, Lacey J Eat Weight Disord. 2024; 29(1):29.

PMID: 38652332 PMC: 11039549. DOI: 10.1007/s40519-024-01656-6.


A feminist approach to eating disorders in China: a qualitative study.

Holmes S, Ma H J Eat Disord. 2023; 11(1):157.

PMID: 37710324 PMC: 10500890. DOI: 10.1186/s40337-023-00883-z.


Translation and validation of a Chinese version of the body talk scale for women and men.

He J, Lu Y, Barnhart W, Tang C, Zhang H, Zhao Y J Eat Disord. 2023; 11(1):153.

PMID: 37697411 PMC: 10494420. DOI: 10.1186/s40337-023-00884-y.


References
1.
Friedman M, Dixon A, Brownell K, Whisman M, Wilfley D . Marital status, marital satisfaction, and body image dissatisfaction. Int J Eat Disord. 1999; 26(1):81-5. DOI: 10.1002/(sici)1098-108x(199907)26:1<81::aid-eat10>3.0.co;2-v. View

2.
Abdollahi P, Mann T . Eating disorder symptoms and body image concerns in Iran: comparisons between Iranian women in Iran and in America. Int J Eat Disord. 2001; 30(3):259-68. DOI: 10.1002/eat.1083. View

3.
Koch S, Larsen J, Plessen K, Thornton L, Bulik C, Petersen L . Associations between parental socioeconomic-, family-, and sibling status and risk of eating disorders in offspring in a Danish national female cohort. Int J Eat Disord. 2022; 55(8):1130-1142. PMC: 9546370. DOI: 10.1002/eat.23771. View

4.
Striegel-Moore R, Bulik C . Risk factors for eating disorders. Am Psychol. 2007; 62(3):181-98. DOI: 10.1037/0003-066X.62.3.181. View

5.
Lee S . Eating disorders are becoming more common in the East too. BMJ. 2000; 321(7267):1023. PMC: 1118795. View