scholarly journals Assessing longitudinal and cross-sectional effects of age on adult obesity in an Iranian population: results from a large population-based cohort study

2020 ◽  
Author(s):  
Mahsa Rafiee Alhossaini ◽  
Anoshirvan Kazemnejad ◽  
Farid Zayeri ◽  
Masoumeh Sadeghi
Keyword(s):  
Logistic Regression ◽  
Cohort Study ◽  
Large Population ◽  
Significant Risk ◽  
Repeated Measurements ◽  
Noncommunicable Diseases ◽  
Public Health Issue ◽  
Related Factors ◽  
Cross Sectional ◽  
Longitudinal Effects

Abstract BackgroundObesity is a significant risk factor for noncommunicable diseases, and it is related to many adverse health consequences. The risk of obesity commonly changes with age, which is called a longitudinal (aging) effect. Also, individuals enter the study of the same age have similar living conditions that may influence their obesity risk in a particular way; this is a cross-sectional effect.ObjectiveTo assess the cross-sectional and longitudinal effects of age, using a Marginal Logistic Regression (MLR) model.MethodsIn the current study, we used the information of individuals who had participated in the Isfahan Cohort Study (ICS). Participants were a large group of Iranian adults over 35 years of age in 2001, who lived in the central region of Iran. They were followed up for 12 years. Repeated measurements of obesity were obtained in 2001, 2007, and 2013. The Marginal Logistic Regression model including the effects of the age at baseline and its difference with current age, is used.ResultsFrom 2001 to 2013, the percentage of obesity in men and women has raised from 13% to 18% and from 31% to 44%, respectively. Both cross-sectional and longitudinal effects of age were significantly associated with the odds ratio of obesity. There was a rise in the probability of obesity for individuals with baseline age 35 to 60 and a decline for the older ones. Furthermore, the odds of obesity had about 2% increase (on average) by each year of aging, regardless of the baseline age.ConclusionThe high frequency of obese individuals and its fast growth has been a serious public health issue among Iranians adults aged 35-60 years, especially in women. To better understand the effect of age on obesity and identify the related factors, both cross-sectional and longitudinal effects of age should be considered.

scholarly journals Assessing longitudinal and cross-sectional effects of age on adult obesity in an Iranian population: results from a large population-based cohort study

2021 ◽  
Author(s):  
Mahsa Rafiee Alhossaini ◽  
Anoshirvan Kazemnejad ◽  
Farid Zayeri ◽  
Masoumeh Sadeghi
Keyword(s):  
Odds Ratio ◽  
Large Population ◽  
Significant Risk ◽  
High Rate ◽  
Noncommunicable Diseases ◽  
Public Health Issue ◽  
Related Factors ◽  
Cross Sectional ◽  
Longitudinal Effects ◽  
Prevalence Of Obesity

Abstract Background Obesity is a significant risk factor for Noncommunicable diseases, and it is related to many adverse health consequences. The risk of obesity commonly changes with age, which is called a longitudinal or aging effect. Also, individuals born or enter to the study of the same age have similar living conditions that may influence their obesity risk in a particular way; this is a cross-sectional effect. In the current study, an advanced statistical model is used to distinguish between longitudinal and cross-sectional effects of age on the risk of obesity for men and women. Methods Participants are a group of 6504 Iranian adults over 35 years of age in 2001, who live in the central region of Iran. They were followed up for 12 years in a large community-based study. Various medical indexes, including Body Mass Index, were collected in 2001, 2007, and 2013. The Marginal Logistic Regression model, which includes linear and quadratic effects of the Baseline Age and its difference with current age, is used. Results Between 2001 and 2013, the prevalence of obesity raised from 13% to 18% in men and from 31% to 44% in women. The odds of obesity for women was approximately three times the odds of obesity for men on average adjusting for the age effects. Both cross-sectional and longitudinal effects of age were significantly associated with the odds ratio of obesity. There was a rise in the prevalence of obesity for individuals with Baseline Age 35 to 55 and a decline thereafter. Also, the odds ratio of obesity across one’s life course, had about 3% increase, on average, by each year aging, regardless of the age at baseline. Conclusions The high rate of obesity and its fast growth is a serious public health issue among Iranians, especially in adults age 35-55, and women. In the present study, Baseline Age was more strongly associated with the risk of obesity than aging. Considering both cross-sectional and longitudinal effects of age, helps us to understand the effect of age on obesity better and to identify the related factors.

scholarly journals Assessing longitudinal and cross-sectional effects of age on adult obesity in an Iranian population: results from a large population-based cohort study

2020 ◽  
Author(s):  
Mahsa Rafiee Alhossaini ◽  
Anoshirvan Kazemnejad ◽  
Farid Zayeri ◽  
Masoumeh Sadeghi
Keyword(s):  
Cohort Study ◽  
Large Population ◽  
Aging Effect ◽  
Population Based ◽  
Repeated Measurements ◽  
Public Health Issue ◽  
Related Factors ◽  
Cross Sectional ◽  
Longitudinal Effects ◽  
Study Participants

Abstract AbstractThe risk of obesity commonly changes with age, which is a longitudinal (aging) effect. Also, individuals who enter the study of the same age have similar living conditions that may influence their obesity risk in a particular way; this is a cross-sectional effect. To assess the cross-sectional and longitudinal effects of age, using a Marginal Logistic Regression model. In the current study, we used the information of individuals who had participated in the Isfahan Cohort Study. Participants were a large group of Iranian adults over 35 years of age in 2001, who lived in the central region of Iran. Repeated measurements were obtained in 2001, 2007, and 2013. From 2001 to 2013, the percentage of obesity in men and women has raised from 13% to 18% and from 31% to 44%, respectively. Both cross-sectional and longitudinal effects of age were significantly associated with the odds ratio of obesity. There was a rise in the probability of obesity for individuals with a baseline age of 35 to 60 and a decline for the older ones. The odds of obesity had about a 2% increase (on average) with each year of aging, regardless of the baseline age. The high frequency of individuals with obesity and its fast growth has been a serious public health issue among Iranian adults aged 35-60 years, especially in women. To better understand the effect of age on obesity and identify the related factors, both cross-sectional and longitudinal effects of age should be considered.

scholarly journals Assessing longitudinal and cross-sectional effects of age on adult obesity in an Iranian population: results from a large population-based cohort study

2020 ◽  
Author(s):  
Mahsa Rafiee Alhossaini ◽  
Anoshirvan Kazemnejad ◽  
Farid Zayeri ◽  
Masoumeh Sadeghi
Keyword(s):  
Odds Ratio ◽  
Large Population ◽  
Significant Risk ◽  
High Rate ◽  
Noncommunicable Diseases ◽  
Public Health Issue ◽  
Related Factors ◽  
Cross Sectional ◽  
Longitudinal Effects ◽  
Prevalence Of Obesity

Abstract BackgroundObesity is a significant risk factor for Noncommunicable diseases, and it is related to many adverse health consequences. The risk of obesity commonly changes with age, which is called a longitudinal or aging effect. Also, individuals born or enter to the study of the same age have similar living conditions that may influence their obesity risk in a particular way; this is a cross-sectional effect. In the current study, an advanced statistical model is used to distinguish between longitudinal and cross-sectional effects of age on the risk of obesity for men and women.MethodsParticipants are a group of 6504 Iranian adults over 35 years of age in 2001, who live in the central region of Iran. They were followed up for 12 years in a large community-based study. Various medical indexes, including Body Mass Index, were collected in 2001, 2007, and 2013. The Marginal Logistic Regression model, which includes linear and quadratic effects of the Baseline Age and its difference with current age, is used.ResultsBetween 2001 and 2013, the prevalence of obesity raised from 13% to 18% in men and from 31% to 44% in women. The odds of obesity for women was approximately three times the odds of obesity for men on average adjusting for the age effects. Both cross-sectional and longitudinal effects of age were significantly associated with the odds ratio of obesity. There was a rise in the prevalence of obesity for individuals with Baseline Age 35 to 55 and a decline thereafter. Also, the odds ratio of obesity across one’s life course, had about 3% increase, on average, by each year aging, regardless of the age at baseline.ConclusionsThe high rate of obesity and its fast growth is a serious public health issue among Iranians, especially in adults age 35-55, and women. In the present study, Baseline Age was more strongly associated with the risk of obesity than aging. Considering both cross-sectional and longitudinal effects of age, helps us to understand the effect of age on obesity better and to identify the related factors.

scholarly journals Assessing longitudinal and cross-sectional effects of age on adult obesity in an Iranian population: results from a large population-based cohort study

2020 ◽  
Author(s):  
Mahsa Rafiee Alhossaini ◽  
Anoshirvan Kazemnejad ◽  
Farid Zayeri ◽  
Masoumeh Sadeghi
Keyword(s):  
Odds Ratio ◽  
Large Population ◽  
Significant Risk ◽  
High Rate ◽  
Noncommunicable Diseases ◽  
Public Health Issue ◽  
Related Factors ◽  
Cross Sectional ◽  
Longitudinal Effects ◽  
Prevalence Of Obesity

Abstract Background Obesity is a significant risk factor for Noncommunicable diseases, and it is related to many adverse health consequences. The risk of obesity commonly changes with age, which is called a longitudinal or aging effect. Also, individuals born or enter to the study of the same age have similar living conditions that may influence their obesity risk in a particular way; this is a cross-sectional effect. In the current study, an advanced statistical model is used to distinguish between longitudinal and cross-sectional effects of age on the risk of obesity for men and women. Methods Participants are a group of 6504 Iranian adults over 35 years of age in 2001, who live in the central region of Iran. They were followed up for 12 years in a large community-based study. Various medical indexes, including Body Mass Index, were collected in 2001, 2007, and 2013. The Marginal Logistic Regression model, which includes linear and quadratic effects of the Baseline Age and its difference with current age, is used. Results Between 2001 and 2013, the prevalence of obesity raised from 13–18% in men and from 31–44% in women. The odds of obesity for women was approximately three times the odds of obesity for men on average adjusting for the age effects. Both cross-sectional and longitudinal effects of age were significantly associated with the odds ratio of obesity. There was a rise in the prevalence of obesity for individuals with Baseline Age 35 to 55 and a decline thereafter. Also, the odds ratio of obesity across one’s life course, had about 3% increase, on average, by each year aging, regardless of the age at baseline. Conclusions The high rate of obesity and its fast growth is a serious public health issue among Iranians, especially in adults age 35–55, and women. In the present study, Baseline Age was more strongly associated with the risk of obesity than aging. Considering both cross-sectional and longitudinal effects of age, helps us to understand the effect of age on obesity better and to identify the related factors.

scholarly journals Assessment of longitudinal and cross-sectional effects of age on adult obesity in an Iranian population: results of a large population-based cohort study

2021 ◽  
Keyword(s):  
Public Health ◽  
Cohort Study ◽  
Large Population ◽  
Target Population ◽  
Population Based ◽  
Repeated Measurements ◽  
Public Health Issue ◽  
Cross Sectional ◽  
Longitudinal Effects ◽  
The Cross

Background: The risk of obesity commonly changes with age, which is a longitudinal (aging) effect. Moreover, the individuals who enter the study at the same age have similar living conditions that may influence their obesity risk in a particular way; this is a cross-sectional effect. Both cross-sectional and longitudinal effects of age should be considered for a better understanding of the effect of age on obesity and the related factors. Objectives: The present study aimed to (i) assess both the cross-sectional and longitudinal effects of age on obesity and (ii) determine how obesity changes with age in the target population using a Marginal Logistic Regression (MLR) model. Materials and Methods: The current study made use of the information of individuals who had participated in the Isfahan Cohort Study. Participants were a large group of Iranian adults over 35 years of age who lived in the central region of Iran in 2001. Repeated measurements were obtained in 2001, 2007, and 2013. Results: From 2001 to 2013, the percentage of obesity in men and women raised from 13% and 31% to 18% and 44%, respectively. Both cross-sectional and longitudinal effects of age were significantly associated with the odds ratio of obesity. There was a rise in the probability of obesity for individuals aged 35-60 years at baseline and a decline for the older ones. The odds of obesity had about a 2% increase (on average) per year, regardless of the baseline age. Conclusion: The obtained results pointed to a difference between the cross-sectional and longitudinal effects of age on the probability of obesity in the target population. The high and rising prevalence of obesity was a serious public health issue among participants, especially women, aged 35-60 years. The assessment of changes in obesity in a population-based study provides opportunities to target subpopulations that need more care and attention in public health interventions

Workplace violence against physicians and medical students in west part of Iran

2019 ◽  
Vol 12 (2) ◽  
pp. 116-123 ◽  
Author(s):  
Abdorrahim Afkhamzadeh ◽  
Amjad Mohamadi Bolbanabad ◽  
Bayan Moloudi ◽  
Hossein Safari ◽  
Bakhtiar Piroozi
Keyword(s):  
Logistic Regression ◽  
Medical Students ◽  
Workplace Violence ◽  
Physical Violence ◽  
Significant Risk ◽  
Verbal Abuse ◽  
Teaching Hospitals ◽  
Related Factors ◽  
Cross Sectional ◽  
Content Type

Purpose The purpose of this paper is to survey the prevalence of exposure to workplace violence (WPV) including physical violence, verbal abuse, bullying as well as its related factors among physicians and medical students attending teaching hospitals of Kurdistan University of Medical Sciences (KUMS). Design/methodology/approach This is a descriptive analytic as well as a cross-sectional study which was carried out on all physicians (general and specialists) and medical students attending teaching hospitals of KUMS in 2014. Overall, 400 participated in this study and data were gathered using a standard questionnaire. Then, data were analyzed using SPSS 20, χ2 and Fisher’s exact tests as well as univariate and adjusted logistic regression. Findings The prevalence of physical violence, verbal abuse and bullying among medical students was reported 4.5, 59 and 0.8 percent, respectively. In addition, the prevalence of these violence among general practitioners was 6.9, 72.4 and 0 percent, respectively. Moreover, 11.5, 42.3 and 3.8 percent of specialists had experienced physical violence, verbal abuse and bullying, respectively. Patients and their relatives were the main sources of the violence. Based on the results of multivariate logistic regression, male sex (AOR=2.60, CI: 1.56–4.32) and having shift work (AOR=3.13, CI: 1.67–5.84) were the most significant risk factors for total WPV. Originality/value The WPV experienced by physicians and medical students attending teaching hospitals of MUK is high. Health sector authorities should develop and implement proper strategies and interventions aiming at reducing or preventing from incidence of WPV.

scholarly journals COVID-19-Related Changes in Perceived Household Food Waste in the United States: A Cross-Sectional Descriptive Study

2021 ◽  
Vol 18 (3) ◽  
pp. 1104
Author(s):  
Kelly Cosgrove ◽  
Maricarmen Vizcaino ◽  
Christopher Wharton
Keyword(s):  
Logistic Regression ◽  
Food Waste ◽  
The United States ◽  
Food Groups ◽  
Related Factors ◽  
Cross Sectional ◽  
Household Level ◽  
Binomial Logistic Regression ◽  
Household Food ◽  
Fresh Vegetables

Food waste contributes to adverse environmental and economic outcomes, and substantial food waste occurs at the household level in the US. This study explored perceived household food waste changes during the COVID-19 pandemic and related factors. A total of 946 survey responses from primary household food purchasers were analyzed. Demographic, COVID-19-related household change, and household food waste data were collected in October 2020. Wilcoxon signed-rank was used to assess differences in perceived food waste. A hierarchical binomial logistic regression analysis was conducted to examine whether COVID-19-related lifestyle disruptions and food-related behavior changes increased the likelihood of household food waste. A binomial logistic regression was conducted to explore the contribution of different food groups to the likelihood of increased food waste. Perceived food waste, assessed as the estimated percent of food wasted, decreased significantly during the pandemic (z = −7.47, p < 0.001). Food stockpiling was identified as a predictor of increased overall food waste during the pandemic, and wasting fresh vegetables and frozen foods increased the odds of increased food waste. The results indicate the need to provide education and resources related to food stockpiling and the management of specific food groups during periods of disruption to reduce food waste.

scholarly journals Knowledge, attitudes, practices, and influencing factors of anxiety among pregnant women in Wuhan during the outbreak of COVID-19: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wenping Ding ◽  
Jianmei Lu ◽  
Yan Zhou ◽  
Weizhong Wei ◽  
Zhihong Zhou ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Pregnant Women ◽  
Influencing Factors ◽  
Information Source ◽  
Influential Factors ◽  
Public Health Issue ◽  
Cross Sectional ◽  
Factors Associated ◽  
Attitudes And Practices ◽  
Prenatal Anxiety

Abstract Background Prenatal anxiety has been a significant public health issue globally, leading to adverse health outcomes for mothers and children. The study aimed to evaluate the sociodemographic characteristics, knowledge, attitudes, and practices (KAP), and anxiety level of pregnant women during the coronavirus disease 2019 (COVID-19) epidemic in Wuhan and investigate the influencing factors for prenatal anxiety in this specific context. Methods Pregnant subjects’ KAP towards COVID-19 and their sociodemographics and pregnancy information were collected using questionnaires. The Zung Self-Rating Anxiety Scale (SAS) was used to assess anxiety status. Factors associated with the level of prenatal anxiety were analyzed by Pearson’s chi-square test and multivariable logistic regression analyses. Results The prenatal anxiety prevalence in this population was 20.8%. The mean score of knowledge was 13.2 ± 1.1 on a 0 ~ 14 scale. The attitudes and practices data showed that 580/ 817 (71.0%) were very concerned about the news of COVID-19, 455/817 (55.7%) considered the official media to be the most reliable information source for COVID-19, and 681/817 (83.4%) were anxious about the possibility of being infected by COVID-19. However, only 83/817 (10.2%) worried about contracting COVID-19 infection through the ultrasound transducer during a routing morphology scan. About two-thirds 528/817 (64.6%) delayed or canceled the antenatal visits. Approximately half of them 410/817 (50.2%) used two kinds of personal protection equipments (PPEs) during hospital visits. Logistic regression analysis revealed that the influential factors for prenatal anxiety included previous children in the family, knowledge score, media trust, worry of contracting the COVID-19 infection and worry about getting infected with COVID-19 from the ultrasound probe antenatal care (ANC) schedule. Conclusion Prenatal anxiety was prevalent among pregnant women in Wuhan during the outbreak of COVID-19. The current findings identified factors associated with the level of prenatal anxiety that could be targeted for psychological care.

scholarly journals Inhibitory control of positive and negative information and adolescent depressive symptoms: a population-based cohort study

2020 ◽  
pp. 1-11
Author(s):  
Gemma Lewis ◽  
Katherine S. Button ◽  
Rebecca M. Pearson ◽  
Marcus R. Munafò ◽  
Glyn Lewis
Keyword(s):  
Cohort Study ◽  
Depressive Symptoms ◽  
Inhibitory Control ◽  
Adolescent Depression ◽  
Large Population ◽  
Population Based ◽  
Negative Information ◽  
Convincing Evidence ◽  
Cross Sectional ◽  
Adolescent Depressive Symptoms

Abstract Background Large population-based cohort studies of neuropsychological factors that characterise or precede depressive symptoms are rare. Most studies use small case-control or cross-sectional designs, which may cause selection bias and cannot test temporality. In a large UK population-based cohort, we investigated cross-sectional and longitudinal associations between inhibitory control of positive and negative information and adolescent depressive symptoms. Methods Cohort study of 2328 UK adolescents who completed an affective go/no-go task at age 18. Depressive symptoms were assessed with the Clinical Interview Schedule Revised (CIS-R) and short Mood and Feeling Questionnaire (sMFQ) at age 18, and with the sMFQ 1 year later (age 19). Analyses were multilevel and traditional linear regressions, before and after adjusting for confounders. Results Cross-sectionally, we found little evidence that adolescents with more depressive symptoms made more inhibitory control errors [after adjustments, errors increased by 0.04% per 1 s.d. increase in sMFQ score (95% confidence interval 0.02–0.06)], but this association was not observed for the CIS-R. There was no evidence for an influence of valence. Longitudinally, there was no evidence that reduced inhibitory control was associated with future depressive symptoms. Conclusions Inhibitory control of positive and negative information does not appear to be a marker of current or future depressive symptoms in adolescents and would not be a useful target in interventions to prevent adolescent depression. Our lack of convincing evidence for associations with depressive symptoms suggests that the affective go/no-go task is not a promising candidate for future neuroimaging studies of adolescent depression.

scholarly journals High-Dose Cholecalciferol Booster Therapy is Associated with a Reduced Risk of Mortality in Patients with COVID-19: A Cross-Sectional Multi-Centre Observational Study

Nutrients ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3799
Author(s):  
Stephanie F. Ling ◽  
Eleanor Broad ◽  
Rebecca Murphy ◽  
Joseph M. Pappachan ◽  
Satveer Pardesi-Newton ◽  
...  
Keyword(s):  
Vitamin D ◽  
Observational Study ◽  
Large Population ◽  
Public Health Issue ◽  
High Dose ◽  
Cross Sectional ◽  
Pharmacological Management ◽  
Baseline Serum ◽  
Risk Of Mortality ◽  
Reduced Risk

The worldwide pandemic of 2019 novel coronavirus disease (COVID-19) has posed the most substantial and severe public health issue for several generations, and therapeutic options have not yet been optimised. Vitamin D (in its “parent” form, cholecalciferol) has been proposed in the pharmacological management of COVID-19 by various sources. We aimed to determine whether COVID-19 mortality was affected by serum 25-hydroxyvitamin D (25(OH)D) levels, vitamin D status, or cholecalciferol therapy, and to elucidate any other predictors of COVID-19 mortality. Patients hospitalised with COVID-19 were opportunistically recruited from three UK hospitals, and their data were collected retrospectively. Logistic regression was used to determine any relationships between COVID-19 mortality and potential predictors, including 25(OH)D levels and cholecalciferol booster therapy. A total of 986 participants with COVID-19 were studied, of whom 151 (16.0%) received cholecalciferol booster therapy. In the primary cohort of 444 patients, cholecalciferol booster therapy was associated with a reduced risk of COVID-19 mortality, following adjustment for potential confounders (ORadj 0.13, 95% CI 0.05–0.35, p < 0.001). This finding was replicated in a validation cohort of 541 patients (ORadj 0.38, 95% CI 0.17–0.84, p = 0.018). In this observational study, treatment with cholecalciferol booster therapy, regardless of baseline serum 25(OH)D levels, appears to be associated with a reduced risk of mortality in acute in-patients admitted with COVID-19. Further work with large population studies needs to be carried out to determine adequate serum 25(OH)D levels, as well as multi-dose clinical trials of cholecalciferol therapy to assess maximum efficacy.

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