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1.
Matern Child Health J ; 26(3): 537-544, 2022 Mar.
Article in English | MEDLINE | ID: mdl-35001175

ABSTRACT

OBJECTIVES: This study examined the contribution of postpartum depressive symptoms (PDS) on select maternal health practices among Texas women, using 2012-2015 survey data from the Pregnancy Risk Assessment Monitoring System. METHODS: Multiple logistic regression was used to assess the effect of PDS on postpartum checkups, postpartum dental visits, and use of postpartum birth control. Covariates included maternal age, race/ethnicity, marital status, education, and depression before birth. RESULTS: Data from 4679 respondents were used in analyses, and the prevalence of women reporting PDS was 13.8 percent. Women without PDS were more likely to attend a postpartum checkup (adjusted OR = 1.5; 95% CI 1.1-2.1) or have a postpartum dental visit (adjusted OR = 1.4, 95% CI 1.0-1.8) than women with PDS. There was insufficient evidence to conclude any association between PDS and use of postpartum birth control. CONCLUSIONS: These findings highlight adverse effects of PDS on maternal health practices not previously studied. Results stress the importance of healthcare professionals monitoring the moods and actions of women of childbearing age to provide early interventions for women experiencing PDS, and of emphasizing positive maternal health practices after childbirth.


Subject(s)
Depression, Postpartum , Depression , Depression, Postpartum/diagnosis , Depression, Postpartum/epidemiology , Female , Humans , Maternal Health , Postpartum Period , Pregnancy , Risk Assessment , Texas/epidemiology
2.
Prev Chronic Dis ; 15: E141, 2018 11 21.
Article in English | MEDLINE | ID: mdl-30468423

ABSTRACT

INTRODUCTION: Adolescents spend a substantial amount of time consuming media, including watching television, playing video games, and using electronic devices to access the internet. We examined the relationship between prolonged media use on screen devices and its potential association with obesity through several mechanisms. METHODS: We used data from 659,288 eighth and eleventh grade students who participated in the 2015-2016 School Physical Activity and Nutrition (SPAN) survey in Texas to examine the associations between hours of media use per day and 3 behaviors related to obesity: timing of last food intake, unhealthy eating behavior, and sleep hours. Also, mediation analyses were conducted to examine the pathways between hours of media use and body mass index (BMI). RESULTS: Compared with adolescents who used media 2 hours or less per day, those who used media 6 hours or more had higher odds of nighttime eating (odds ratio [OR], 3.16; 95% confidence interval [CI], 1.76-5.66) and inadequate sleep (OR, 1.57; 95% CI, 1.05-2.36) and a higher coefficient for Unhealthy Eating Index score (3.87; 95% CI, 1.3-6.37). Mediation analysis demonstrated that for males sleep hours and timing of last food intake mediated the pathway between hours of media use and BMI. For females, unhealthy eating behavior mediated this pathway. CONCLUSION: Adolescents who used electronic media 6 or more hours at night had higher odds of unhealthy eating behavior and inadequate sleep hours than those with 2 hours' use or less. Attention to behaviors associated with adolescents' prolonged media use is needed to reduce risk of obesity.


Subject(s)
Adolescent Behavior , Body Weight , Obesity/epidemiology , Screen Time , Adolescent , Body Mass Index , Cross-Sectional Studies , Diet, Healthy/statistics & numerical data , Fast Foods/statistics & numerical data , Female , Humans , Linear Models , Male , Nutrition Surveys , Sleep Hygiene/physiology , Texas/epidemiology
3.
Obstet Gynecol ; 131(5): 762-769, 2018 05.
Article in English | MEDLINE | ID: mdl-29630012

ABSTRACT

OBJECTIVE: To more accurately estimate the 2012 maternal mortality ratio for Texas using an enhanced method for identifying maternal deaths. METHODS: This population-based descriptive study used both data matching and record review to verify pregnancy or delivery within 42 days for 147 deaths with obstetric cause-of-death codes, and used data matching alone to identify additional maternal deaths within the same timeframe. Crude maternal mortality ratios were calculated for confirmed maternal deaths overall, by race and ethnicity, and by age. These maternal mortality ratios were compared with maternal mortality ratios computed using obstetric cause-of-death codes alone (standard method). RESULTS: Fifty-six maternal deaths were confirmed to have occurred during pregnancy or within 42 days postpartum. Using our enhanced method, the 2012 maternal mortality ratio for Texas was 14.6 maternal deaths per 100,000 live births, less than half that obtained using the standard method (n=147). Approximately half (50.3%) of obstetric-coded deaths showed no evidence of pregnancy within 42 days, and a large majority of these incorrectly indicated pregnancy at the time of death. Insufficient information was available to determine pregnancy for 15 obstetric-coded deaths, which were excluded from the 2012 maternal mortality ratio estimate; however, had these deaths been included, the resulting maternal mortality ratio would still be significantly lower than that reported using the standard method. CONCLUSION: Relying solely on obstetric codes for identifying maternal deaths appears to be insufficient and can lead to inaccurate maternal mortality ratios. A method enhanced with data matching and record review yields more accurate ratios. Results likely have national implications, because miscoding of obstetric deaths with the standard method may affect the accuracy of other states' maternal mortality ratios.


Subject(s)
Cause of Death , Data Accuracy , Maternal Death , Maternal Mortality , Obstetrics , Pregnancy Complications/mortality , Adult , Female , Forms and Records Control , Humans , International Classification of Diseases , Maternal Death/prevention & control , Maternal Death/statistics & numerical data , Obstetrics/methods , Obstetrics/standards , Obstetrics/statistics & numerical data , Population Surveillance , Pregnancy , Quality Improvement , Texas/epidemiology
4.
Health Educ Behav ; 43(3): 313-20, 2016 06.
Article in English | MEDLINE | ID: mdl-26304711

ABSTRACT

This study examined the association between having been bullied at school during the past 6 months ("bullied status") and not meeting physical activity (PA) recommendations of 60 minutes of daily PA during the past week among 8th- and 11th-grade Texas adolescents. Multiple logistic regression analysis was conducted to examine this association, adjusted for weight status, grade, race/ethnicity, and stratified by gender; furthermore, a significant interaction was found between bullied status and weight status. Results are presented by interaction status. Results indicated that overweight girls who reported never being bullied, as well as those who reported being bullied more than twice, had higher odds of not meeting PA recommendations than normal weight girls who were never bullied (adjusted odds ratio [AOR] = 2.12, 95% confidence interval [CI: 1.12, 3.99]; AOR = 9.18, 95% CI [2.26, 37.27], respectively). Obese girls who were bullied once or twice had higher odds of not meeting PA recommendations than normal weight girls who were never bullied (AOR = 2.89, 95% CI [1.06, 7.89]). Overweight boys who reported never being bullied had lower odds of not meeting PA recommendations than normal weight boys who were never bullied (AOR = 0.62, 95% CI [0.39, 0.97]). Conversely, obese boys who were bullied once or twice reported higher odds of not meeting PA recommendations than normal weight boys who were never bullied (AOR = 3.61, 95% CI [1.22, 10.67]). Findings from this study indicate that the association between bullied status and meeting PA recommendations is complex and may differ by gender and the interaction between bullied status and weight status.


Subject(s)
Adolescent Behavior/psychology , Bullying , Exercise/psychology , Overweight/psychology , Adolescent , Body Mass Index , Bullying/statistics & numerical data , Cross-Sectional Studies , Female , Health Behavior , Health Promotion , Humans , Logistic Models , Male , Overweight/epidemiology , School Health Services , Sex Distribution , Texas/epidemiology
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