Exploring associations between pregnancy cravings and sociodemographic, lifestyle and health factors: insights from a cross-sectional population study in Jordan
Ontology highlight
ABSTRACT:
SUBMITTER: Kloub S
PROVIDER: S-EPMC10916096 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:BackgroundLittle is known about the specific dietary patterns in adult survivors of childhood cancer.ObjectivesWe aimed to identify dietary patterns specific to childhood cancer survivors and examine their associations with sociodemographic and lifestyle factors.MethodsAdult survivors of childhood cancer (mean:31 ± 8 y; n = 3022) and noncancer controls (n = 497) in the St. Jude Lifetime Cohort self-reported diet over the past 12 mo using a validated food frequency questionnaire. Factor analysis with 48 predefined food groups was performed to identify foods consumed together. Subsequently, cluster analysis with energy-adjusted factor scores was used to categorize survivors into a mutually exclusive dietary pattern. Dietary patterns were the primary outcomes. Multivariable multinomial logistic regressions were used to cross-sectionally examine associations between sociodemographic and lifestyle factors and dietary patterns in cancer survivors.ResultsAmong the 4 dietary patterns identified, the fast-food pattern (36 %) was the most common, followed by the Western contemporary (30 %), the plant-based (20 %), and the animal-based (14 %) patterns in childhood cancer survivors. By contrast, the plant-based (38 %) and fast-food patterns (29 %) were prevalent in controls. In survivors, male sex, younger age, lower educational attainment, and physical inactivity were associated with the fast-food, Western contemporary, or animal-based pattern. Compared with non-Hispanic White survivors consuming the plant-based diet, non-Hispanic Black survivors were 2-5 times more likely to consume the fast-food [odds ratio (OR:= 2.76; 95 % CI: 1.82, 4.18) or the animal-based diet (OR: 5.61; 95 % CI: 3.58, 8.78)]. Moreover, survivors residing in the most deprived area were 2-3 times more likely to consume the fast-food, Western contemporary, or animal-based diet.ConclusionsUnhealthy dietary patterns are prevalent in adult survivors of childhood cancer, especially those with lower socioeconomic status and racial minorities. Interventions to improve diet and health in childhood cancer survivors need to concurrently address disparities that contribute to adherence to healthy dietary practices. This trial was registered at clinicaltrials.gov as NCT00760656 (https://classic.Clinicaltrialsgov/ct2/show/NCT00760656).
| S-EPMC10972711 | biostudies-literature
Project description:BackgroundA greater understanding of the factors that are associated with favourable health may help increase longevity and healthy life expectancy. We examined sociodemographic, psychosocial, lifestyle and environmental exposures associated with multiple health indicators.MethodsUK Biobank recruited > 500,000 participants, aged 37-73, between 2006 and 2010. Health indicators examined were 81 cancer and 443 non-cancer illnesses used to classify participants' health status; long-standing illness; and self-rated health. Exposures were sociodemographic (age, sex, ethnicity, education, income and deprivation), psychosocial (loneliness and social isolation), lifestyle (smoking, alcohol intake, sleep duration, BMI, physical activity and stair climbing) and environmental (air pollution, noise and residential greenspace) factors. Associations were estimated using logistic and ordinal logistic regression.ResultsIn total, 307,378 participants (mean age = 56.1 years [SD = 8.07], 51.9% female) were selected for cross-sectional analyses. Low income, being male, neighbourhood deprivation, loneliness, social isolation, short or long sleep duration, low or high BMI and smoking were associated with poor health. Walking, vigorous-intensity physical activity and more frequent alcohol intake were associated with good health. There was some evidence that airborne pollutants (PM2.5, PM10 and NO2) and noise (Lden) were associated with poor health, though findings were not consistent across all models.ConclusionsOur findings highlight the multifactorial nature of health, the importance of non-medical factors, such as loneliness, healthy lifestyle behaviours and weight management, and the need to examine efforts to improve the health outcomes of individuals on low incomes.
| S-EPMC8504077 | biostudies-literature
Project description:BackgroundLifestyle factors are widely recognized as modifiers and major risk factors for non-communicable diseases. Previous studies on the prevalence of multimorbidity in Portugal predict an unfavourable reality. The aim of the present study was to analyse 1) the prevalence of multimorbidity in Portugal and 2) the association of individuals' lifestyles and sociodemographic factors with multimorbidity.MethodsA cross-sectional, population-wide study was conducted on a representative sample of the general population of Portuguese adults aged ≥ 20 years. Categorical variables were described by their respective absolute and relative frequencies (n (%)). All variables with a p-value < 20% were included in the multiple logistic regression model. The variables were removed one by one in descending order of p-value (p) until the model contained only significant variables. The results are presented using the odds ratio and 95% confidence intervals. P-values < 5% were considered significant.ResultsThe prevalence of multimorbidity was 48.9% (n = 436), and the odds of multimorbidity increased 4% (p < 0.001) for each year of increase in age. Participants with reasonable general health status had higher odds of multimorbidity (Odds ratio (OR) = 3.04; p < 0.001), and those with poor or very poor general health status had even higher odds (OR = 9.14; p < 0.001). Compared to those who never smoked, participants who quit smoking ≥ 1 year presented an increase of 91% (p = 0.005) in the odds of multimorbidity. Individuals with no good-quality sleep, non-moderate screen time, or non-moderate stress level had higher odds of multimorbidity (OR = 1.98; OR = 1.88; OR = 2.22, respectively. p < 0.001).ConclusionsThis study presented a new approach to multimorbidity in Portugal. Population-based, multidimensional lifestyle interventions are needed. It seems necessary to optimize and adjust measures to prevent non-communicable diseases to improve health in Portugal. In the future, longitudinal studies will be an asset to reinforce and clarify these conclusions.
| S-EPMC9749348 | biostudies-literature
Project description:Background: Characterization of dietary patterns represents a valid and meaningful measure of overall diet quality and nutrient intake. The study aims at evaluating the sociodemographic, lifestyle, environmental, and pregnancy-related determinants of maternal dietary patterns during pregnancy. Methods: The analysis was conducted on a group of pregnant women from the Polish Mother and Child Cohort (REPRO_PL). During the second trimester of pregnancy, 1306 women filled in a modified version of the validated food frequency questionnaire (FFQ). Dietary patterns were estimated using an exploratory factor analysis. Potential dietary determinants were assessed via a questionnaire or biomarker measurements (saliva cotinine level). Results: Two dietary patterns were identified. The Prudent dietary pattern was characterized by high consumption of fruit, vegetables, legumes, whole grains, poultry, and low-fat dairy products, while the Western dietary pattern included high intake of refined grains, processed meat, potatoes, and very low intake of whole grains. Clear sociodemographic, environmental, lifestyle, and pregnancy-related determinants of diet quality were established. Older age (β = 0.2; p < 0.01), higher educational level (β = 0.3; p < 0.01), and socioeconomic status (SES) (β = 0.2; p < 0.01), overweight/obesity before (β = 0.3; p < 0.01), as well as physical activity during pregnancy (β = 0.2; p = 0.01) were positive determinants of a healthier diet (increasing Prudent⁻Western difference in dietary pattern scores). On the other hand, parity (β = -0.2; p = 0.04) and living in small cities (β = -0.3; p = 0.02) were significantly related to a rather Western dietary pattern. Conclusions: The current study presents evidence on specific factors influencing dietary patterns. They need to be accounted for in educational programs and interventions focused on healthy diet recommendations during pregnancy.
| S-EPMC6427254 | biostudies-literature
Project description:BackgroundAlthough a high prevalence of anemia and related disease burden have been documented in China, limited evidence is available on the current population-level iron status and risk factors for iron imbalance.ObjectiveWe explored the associations of dietary, lifestyle, and sociodemographic factors with iron status in Chinese adults.DesignOur study population consisted of 7672 adults aged 18-65 y from the 2009 China Health and Nutrition Survey. Diet was assessed with the use of 3 consecutive 24-h dietary recalls. Serum ferritin, serum transferrin receptor, and hemoglobin concentrations were measured.ResultsThe geometric means ± SDs for ferritin concentrations were 135.9 ± 2.7 ng/mL in men and 42.7 ± 3.1 ng/mL in women. After adjustment for potential risk factors, including high-sensitivity C-reactive protein concentration, the association between age and ferritin concentration was inverse in men (P-trend < 0.001) and positive in women (P-trend < 0.001). We observed a positive association between body mass index (in kg/m2) and ferritin concentration in both men and women (both P-trends < 0.001). Dietary phytate intake was inversely associated with ferritin concentration in men (P-trend = 0.002) but not in women. Red meat consumption was positively associated with ferritin concentration both in men (P-trend = 0.002) and in older women (P-trend = 0.009). Lower intakes of grains and higher intakes of pork and poultry were associated with higher ferritin concentrations (all P-trends ≤ 0.05) in men but not in women. We observed variations in ferritin concentrations across different geographic regions (both P ≤ 0.01).ConclusionsSerum ferritin concentrations varied across different sociodemographic, lifestyle, and dietary factors in this Chinese population. A higher intake of red meat was associated with higher ferritin concentrations in men and older women.
| S-EPMC6546221 | biostudies-literature
Project description:We examined sociodemographic factors, lifestyle behaviors, and pregnancy-related determinants associated with adherence to the Mediterranean diet (MD) during pregnancy. A total of 152 Caucasian pregnant women were included in this cross-sectional study. Dietary habits and MD adherence were assessed with a food frequency questionnaire. Physical activity (PA) levels and physical fitness (PF) components (cardiorespiratory fitness, relative muscle strength, and flexibility) were objectively measured. A clustered overall PF index was calculated. Participants with a high MD adherence were older, had a lower body mass index (BMI), spent more time in moderate-vigorous PA, had a greater overall PF, cardiorespiratory fitness, and relative muscle strength compared to participants with low MD adherence (all, p < 0.05). When we explored factors associated with improved MD adherence with logistic regression analysis, we found that the following factors: lower pre-pregnancy BMI (OR = 2.337; p = 0.026), meeting PA recommendations (OR = 2.377; p = 0.045), higher relative muscle strength (OR = 2.265; p = 0.016), and higher overall PF (OR = 5.202; p = 0.004) increased the chances to adhere to the MD. Older age, lower BMI, greater PF, and meeting PA recommendations were associated with higher MD adherence. These factors should be considered for a better design of educational programs and guidelines focused on improving materno-fetal health status during pregnancy.
| S-EPMC9003033 | biostudies-literature
Project description:In adolescents, excessive screen time leads to many adverse health outcomes and is associated with a variety of lifestyle behaviors. This study was conducted to investigate the associations between the two types of screen time and a variety of lifestyle behaviors in American adolescents. Based on the Youth Risk Behavior Surveillance System, this cross-sectional study was conducted. With the help of data collectors, participants self-reported screening time, lifestyle behaviors, and demographic data via well-validated tools. 19% and 43.4% of the participants spent more than two hours a day watching television and using the computer, respectively, while the prevalence of physical inactivity and insufficient sleep was 75.1 and 74.4% respectively. Furthermore, 11.9, 7.3, 14.3, and 21.3% of the participants reported skipping fruits, vegetables, breakfast and milk, respectively. Moreover, the prevalence of alcohol and tobacco consumption and sexual activity was 26.8, 5.3, and 23.5% respectively. More than two hours of television time was significantly associated with high risks of fewer frequency for eating fruit (OR = 1.605, 95%CI: 1.308-1.970), vegetables (OR = 1.389, 95%CI: 1.029-1.873), and smoking (OR = 1.465, 95%CI: 1.088-1.972). Computer/video time for more than two hours was significantly associated with high risks of physical inactivity (OR = 1.724, 95%CI: 1.531-1.941), insufficient sleep (OR = 1.354, 95%CI: 1.151-1.592), and not eating fruit (OR = 1.434, 95%CI: 1.179-1.745). Increased screen time may be associated with specific unhealthy lifestyle behaviors in adolescents. Furthermore, the associations between different types of screen time and various lifestyle behaviors varied.
| S-EPMC9552832 | biostudies-literature
Project description:Preconception care and lifestyle behaviours significantly influence health outcomes of women and future generations. A cross-sectional survey of Australian women in preconception, stratified by pregnancy planning stage (active planners (currently trying to conceive) vs. non-active planners (pregnancy planned within 1-5 years)), assessed health behaviours and their alignment to preconception care guidelines. Overall, 294 women with a mean (SD) age of 30.7 (4.3) years were recruited and 38.9% were overweight or obese. Approximately half of women (54.4%) reported weight gain within the previous 12 months, of which 69.5% gained ≥ 3kg. The vast majority of women (90.2%) were unaware of reproductive life plans, and 16.8% over the age of 25 had not undertaken cervical screening. Of active planners (n = 121), 47.1% had sought medical/health advice in preparation for pregnancy and 81.0% had commenced supplementation with folic acid, iodine or a preconception multivitamin. High-risk lifestyle behaviours including cigarette smoking (7.3%), consumption of alcohol (85.3%) and excessive alcohol consumption within three months (56.3%), were frequently reported in women who were actively trying to conceive. Results indicate that women who are actively planning a pregnancy require support to optimise health and lifestyle in preparation for pregnancy to improve alignment with current preconception care recommendations.
| S-EPMC7355494 | biostudies-literature
Project description:BackgroundThe popularization of the internet and rapid development of mobile devices have led to an increased inclination and opportunities to obtain health-related information online. The eHealth Literacy Scale (eHEALS), widely used for measuring eHealth literacy, assesses an individual's ability to search, understand, appraise, and use eHealth information. However, the Chinese version of the eHEALS multiple-factor model remains to be validated, and the correlation between eHEALS and the health-promoting lifestyle profile (HPLP) among university students is rarely explored in Taiwan.ObjectiveThis study aimed to examine the fit, validity, and reliability of the Chinese eHEALS multiple-factor model and to clarify the predictive effects of eHEALS on the HPLP among university students.MethodsUniversity students in Taipei, the capital of Taiwan, were recruited, and 406 valid questionnaires including sociodemographic characteristics, eHEALS, and HPLP responses were collected. Confirmatory factor analysis was performed to validate the Chinese eHEALS. Independent sample t test, 1-way ANOVA, and multiple linear regression analyses were conducted to examine the relationship between sociodemographic variables and the HPLP. Pearson product-moment correlation and binary logistic regression analyses were performed to ascertain the predictive effects of eHEALS on the HPLP.ResultsThe Chinese eHEALS exhibited an optimal fit when delineated into the search, usage, and evaluation 3-factor model (comparative fit index=0.991, Tucker-Lewis index=0.984, root mean square error of approximation=0.062), and its validity and reliability were confirmed. The mean eHEALS score of university students was 3.17/4.00 (SD 0.48) points, and the score for the evaluation subscale was the lowest (mean 3.08, SD 0.56 points). Furthermore, there were significant sex, institution orientation, daily reading time, daily screen time, primary information channel, and perceived health status differences in the HPLP: male participants (t404=2.346, P=.02), participants attending general university (t404=2.564, P=.01), those reading ≥1 hour daily (F2,403=17.618, P<.001), those spending <3 hours on mobile devices or computers daily (F2,403=7.148, P<.001), those acquiring information from others (t404=3.892, P<.001), and those with a good perceived health status (F2,403=24.366, P<.001) had a significantly higher score. After adjusting for sociodemographic variables, the eHEALS score remained an independent predictor of the HPLP. Compared to students with relatively high eHEALS scores, those with relatively low eHEALS scores had a 3.37 times risk of a negative HPLP (adjusted odds ratio [OR]=3.37, 95% CI 1.49-7.61), which could explain 14.7%-24.4% of the variance (Cox-Snell R2=0.147, Nagelkerke R2=0.244, P=.004).ConclusionsThere is room for improvement in eHealth literacy among university students in Taipei. eHEALS may be used to screen students who require HPLP improvement, thereby providing appropriate eHealth literacy training programs, particularly those targeting evaluation literacy. Additionally, the 3-factor model of the Chinese eHEALS used in this study results in more definite scale content, thus increasing the practicality and applicability of this scale in health-promoting studies.
| S-EPMC11294764 | biostudies-literature
Project description:BackgroundWomen planning to become pregnant, who are pregnant, and who are breastfeeding are more hesitant to take COVID-19 vaccines compared to other women globally.AimThis study investigates COVID-19 vaccine hesitancy among women, who are planning for pregnancy, currently pregnant, and breastfeeding women in Jordan.MethodsAn online cross-sectional study was conducted in the biggest three cities in Jordan, including 874 women.ResultsWomen who were planning for pregnancy, pregnant, or breastfeeding reported statistically significant lower levels of perception of the seriousness of COVID-19 (7.12 ± 0.72, 7.53 ± 1.80, 7.2439 ± 7296, respectively), significant lower levels of perceived benefits of the vaccine (8.92 ± 2.15, 8.73 ± 1.93, 9.09 ± 2.10, respectively), significant lower levels of motivation and causes of action (7.15 ± 1.71, 6.7524 ± 1.40, 7.27 ± 1.68, respectively), and significantly higher levels of COVID-19 vaccination hesitancy (31.32 ± 6.40, 30.11 ± 4.49, 30.27 ± 6.29, respectively) than other women. Married women, those whoe were previously infected with COVID-19, and those who had chronic diseases reported statistically significant lower levels of perception of COVID-19 seriousness, perceived benefits of COVID-19 vaccine, motivation to take COVID-19 vaccine, and causes of action, and significantly higher levels of hesitancy to take COVID-19 vaccine than unmarried women, those who have not been infected with COVID-19, and those who were medically healthy (p<0.001). There were statistically significant positive correlations between perception, perceived benefits, motivation, and cause of action with years of education; and statistically significant negative correlations between perception, perceived benefits, motivation, and cause of action with age (p<0.001).ConclusionsWomen who were planning for pregnancy, pregnant, or breastfeeding in Jordan showed miderate scores in COVID-19 vaccine hesitancy despite the current international recommendations for its safety for women and their foetuses or neonates.
| S-EPMC10234543 | biostudies-literature