Ming Ji
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Ming Ji has a total of 25 co-authors. Here are the top co-authors by number of shared publications:
- Athena Philis-Tsimikas
Whittier Diabetes Institute, Scripps Clinic Medical Group, Scripps Health
1 shared publication C. Richard Hofstetter
Center for Behavioral Epidemiology and Community Health, Graduate School of Public Health, San Diego State University CA
1 shared publication- Caroline A. Macera
U.S. Department of Defense HIV/AIDS Prevention Program, San Diego, CA 92181-4162, USA
1 shared publication Chengjie Xiong
Division of Biostatistics, School of Medicine, Washington University at St Louis, USA
1 shared publication- Christopher Bacher
Autism Internet Research Survey, New Jersey, USA
1 shared publication - Deborah L. Wingard
Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, California
1 shared publication
Latest Publications
- 15 June 2009
- Published by Elsevier in American Journal of Preventive Medicine
- Vol. 37 (2) , 132-136
Home Smoking Bans in an Urbanizing Community in China
- 15 June 2009
- Published by Elsevier in American Journal of Preventive Medicine
- Vol. 37 (2) , 132-136
Home Smoking Bans in an Urbanizing Community in China
- Open Access
- 1 January 2006
- Published by Springer Nature in International Breastfeeding Journal
- Vol. 1 (1) , 16
Breastfeeding, infant formula supplementation, and Autistic Disorder: the results of a parent survey
Although Autistic Disorder is associated with several congenital conditions, the cause for most cases is unknown. The present study was undertaken to determine whether breastfeeding or the use of infant formula supplemented with docosahexaenoic acid and arachidonic acid is associated with Autistic Disorder. The hypothesis is that breastfeeding and use of infant formula supplemented with docosahexaenoic acid/arachidonic acid are protective for Autistic Disorder. This is a case-control study using data from the Autism Internet Research Survey, an online parental survey conducted from February to April 2005 with results for 861 children with Autistic Disorder and 123 control children. The analyses were performed using logistic regression. Absence of breastfeeding when compared to breastfeeding for more than six months was significantly associated with an increase in the odds of having autistic disorder when all cases were considered (OR 2.48, 95% CI 1.42, 4.35) and after limiting cases to children with regression in development (OR 1.95, 95% CI 1.01, 3.78). Use of infant formula without docosahexaenoic acid and arachidonic acid supplementation versus exclusive breastfeeding was associated with a significant increase in the odds of autistic disorder when all cases were considered (OR 4.41, 95% CI 1.24, 15.7) and after limiting cases to children with regression in development (OR 12.96, 95% CI 1.27, 132). The results of this preliminary study indicate that children who were not breastfed or were fed infant formula without docosahexaenoic acid/arachidonic acid supplementation were significantly more likely to have autistic disorder.
- 1 January 2006
- Published by Springer Nature in International Breastfeeding Journal
- Vol. 1 (1) , 16
Open AccessBreastfeeding, infant formula supplementation, and Autistic Disorder: the results of a parent survey
Although Autistic Disorder is associated with several congenital conditions, the cause for most cases is unknown. The present study was undertaken to determine whether breastfeeding or the use of infant formula supplemented with docosahexaenoic acid and arachidonic acid is associated with Autistic Disorder. The hypothesis is that breastfeeding and use of infant formula supplemented with docosahexaenoic acid/arachidonic acid are protective for Autistic Disorder. This is a case-control study using data from the Autism Internet Research Survey, an online parental survey conducted from February to April 2005 with results for 861 children with Autistic Disorder and 123 control children. The analyses were performed using logistic regression. Absence of breastfeeding when compared to breastfeeding for more than six months was significantly associated with an increase in the odds of having autistic disorder when all cases were considered (OR 2.48, 95% CI 1.42, 4.35) and after limiting cases to children with regression in development (OR 1.95, 95% CI 1.01, 3.78). Use of infant formula without docosahexaenoic acid and arachidonic acid supplementation versus exclusive breastfeeding was associated with a significant increase in the odds of autistic disorder when all cases were considered (OR 4.41, 95% CI 1.24, 15.7) and after limiting cases to children with regression in development (OR 12.96, 95% CI 1.27, 132). The results of this preliminary study indicate that children who were not breastfed or were fed infant formula without docosahexaenoic acid/arachidonic acid supplementation were significantly more likely to have autistic disorder.
- 1 January 2006
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 38 (1) , 128-134
Trends in helmet use and head injuries in San Diego County: The effect of bicycle helmet legislation
- 1 January 2006
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 38 (1) , 128-134
Trends in helmet use and head injuries in San Diego County: The effect of bicycle helmet legislation
- Open Access
- 17 April 2005
- Published by Springer Nature in BMC Public Health
- Vol. 5 (1) , 36
Predictors of glycemic control among patients with Type 2 diabetes: A longitudinal study
Background: Diabetes is the sixth leading cause of death and results in significant morbidity. The purpose of this study is to determine what demographic, health status, treatment, access/quality of care, and behavioral factors are associated with poor glycemic control in a Type 2 diabetic, low-income, minority, San Diego population. Methods: Longitudinal observational data was collected on patients with Type 2 diabetes from Project Dulce, a program in San Diego County designed to care for an underserved diabetic population. The study sample included 573 patients with a racial/ethnic mix of 53% Hispanic, 7% black, 18% Asian, 20% white, and 2% other. We utilized mixed effects models to determine the factors associated with poor glycemic control using hemoglobin A1C (A1C) as the outcome of interest. A multi-step model building process was used resulting in a final parsimonious model with main effects and interaction terms. Results: Patients had a mean age of 55 years, 69% were female, the mean duration of diabetes was 7.1 years, 31% were treated with insulin, and 57% were obese. American Diabetes Association (ADA) recommendations for blood pressure and total cholesterol were met by 71% and 68%, respectively. Results of the mixed effects model showed that patients who were uninsured, had diabetes for a longer period of time, used insulin or multiple oral agents, or had high cholesterol had higher A1C values over time indicating poorer glycemic control. The younger subjects also had poorer control. Conclusion: This study provides factors that predict glycemic control in a specific low-income, multiethnic, Type 2 diabetic population. With this information, subgroups with high risk of disease morbidity were identified. Barriers that prevent these patients from meeting their goals must be explored to improve health outcomes.
- 17 April 2005
- Published by Springer Nature in BMC Public Health
- Vol. 5 (1) , 36
Open AccessPredictors of glycemic control among patients with Type 2 diabetes: A longitudinal study
Background: Diabetes is the sixth leading cause of death and results in significant morbidity. The purpose of this study is to determine what demographic, health status, treatment, access/quality of care, and behavioral factors are associated with poor glycemic control in a Type 2 diabetic, low-income, minority, San Diego population. Methods: Longitudinal observational data was collected on patients with Type 2 diabetes from Project Dulce, a program in San Diego County designed to care for an underserved diabetic population. The study sample included 573 patients with a racial/ethnic mix of 53% Hispanic, 7% black, 18% Asian, 20% white, and 2% other. We utilized mixed effects models to determine the factors associated with poor glycemic control using hemoglobin A1C (A1C) as the outcome of interest. A multi-step model building process was used resulting in a final parsimonious model with main effects and interaction terms. Results: Patients had a mean age of 55 years, 69% were female, the mean duration of diabetes was 7.1 years, 31% were treated with insulin, and 57% were obese. American Diabetes Association (ADA) recommendations for blood pressure and total cholesterol were met by 71% and 68%, respectively. Results of the mixed effects model showed that patients who were uninsured, had diabetes for a longer period of time, used insulin or multiple oral agents, or had high cholesterol had higher A1C values over time indicating poorer glycemic control. The younger subjects also had poorer control. Conclusion: This study provides factors that predict glycemic control in a specific low-income, multiethnic, Type 2 diabetic population. With this information, subgroups with high risk of disease morbidity were identified. Barriers that prevent these patients from meeting their goals must be explored to improve health outcomes.
- 1 February 2005
- Published by Oxford University Press (OUP) in Nicotine & Tobacco Research
- Vol. 7 (1) , 59-69
Smoking cessation patterns and predictors among adult Californians of Korean descent
This paper describes smoking cessation among adult California residents of Korean descent, based on a telephone survey (N=2,830). The overall quit rate (number of former smokers divided by number of ever-smokers) was 55.0% (55.8% among males and 49.6% among females). Acculturation was negatively associated with 90-day abstinence after controlling for demographic, social support, health belief, environmental, lifestyle, and respiratory illness history variables (OR=0.59, 95% CI=0.38–0.91). Those with lower acculturation, higher body mass index, a social network discouraging smoking, home smoking restriction, correct beliefs about smoking harm, and significant concern about one's health were most likely to quit smoking for 90 days or longer. Results suggest that social and situational conditions should be included in the design of smoking cessation interventions among Koreans.
- 1 February 2005
- Published by Oxford University Press (OUP) in Nicotine & Tobacco Research
- Vol. 7 (1) , 59-69
Smoking cessation patterns and predictors among adult Californians of Korean descent
This paper describes smoking cessation among adult California residents of Korean descent, based on a telephone survey (N=2,830). The overall quit rate (number of former smokers divided by number of ever-smokers) was 55.0% (55.8% among males and 49.6% among females). Acculturation was negatively associated with 90-day abstinence after controlling for demographic, social support, health belief, environmental, lifestyle, and respiratory illness history variables (OR=0.59, 95% CI=0.38–0.91). Those with lower acculturation, higher body mass index, a social network discouraging smoking, home smoking restriction, correct beliefs about smoking harm, and significant concern about one's health were most likely to quit smoking for 90 days or longer. Results suggest that social and situational conditions should be included in the design of smoking cessation interventions among Koreans.
- 17 November 2003
- Published by SAGE Publications in Journal of Alzheimer’s Disease
- Vol. 5 (5) , 375-382
Hypothesis testing of a change point during cognitive decline among Alzheimer's disease patients
In this paper, we present a statistical hypothesis test for detecting a change point over the course of cognitive decline among Alzheimer's disease patients. The model under the null hypothesis assumes a constant rate of cognitive decline over time a
- 17 November 2003
- Published by SAGE Publications in Journal of Alzheimer’s Disease
- Vol. 5 (5) , 375-382
Hypothesis testing of a change point during cognitive decline among Alzheimer's disease patients
In this paper, we present a statistical hypothesis test for detecting a change point over the course of cognitive decline among Alzheimer's disease patients. The model under the null hypothesis assumes a constant rate of cognitive decline over time a