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

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.

2020 ◽  
Author(s):  
Mahsa Rafiee Alhossaini ◽  
Anoshirvan Kazemnejad ◽  
Farid Zayeri ◽  
Masoumeh Sadeghi

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.


2021 ◽  

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


2021 ◽  
Author(s):  
Mahsa Rafiee Alhossaini ◽  
Anoshirvan Kazemnejad ◽  
Farid Zayeri ◽  
Masoumeh Sadeghi

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.


2020 ◽  
Author(s):  
Mahsa Rafiee Alhossaini ◽  
Anoshirvan Kazemnejad ◽  
Farid Zayeri ◽  
Masoumeh Sadeghi

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.


2020 ◽  
Author(s):  
Mahsa Rafiee Alhossaini ◽  
Anoshirvan Kazemnejad ◽  
Farid Zayeri ◽  
Masoumeh Sadeghi

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.


2020 ◽  
pp. 1-11
Author(s):  
Gemma Lewis ◽  
Katherine S. Button ◽  
Rebecca M. Pearson ◽  
Marcus R. Munafò ◽  
Glyn Lewis

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.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hossein Pakdaman ◽  
Ali Amini Harandi ◽  
Koroush Gharagozli ◽  
Farshid Alaeddini ◽  
Akram Esfandani ◽  
...  

AbstractEpilepsy has garnered increased public health focus because patients who suffer from epilepsy experience pronounced and persistent health and socioeconomic disparities despite treatment and care advances. The epidemiology of epilepsy is diverse in different countries and regions. This nationwide population-based cross-sectional study was conducted to determine the life time prevalence and health related factors of epilepsy for the first time in Iran through a two-phase door-to-door survey method. In phase I, a screening for epilepsy was performed on 68,035 people. Then in phase II, after the neurological evaluation of participants and reviewing medical records, 1130 subjects with epilepsy was confirmed. The life time prevalence of epilepsy was achieved to be 16.6 per 1000 people (95% CI 15.4–17.8) with the average age onset 19.1 ± 21.1 (active prevalence 9.5 per 1000 people). Focal seizure (59.3%), generalized epilepsy (38%) and unknown types of epilepsy (2.7%) were detected among participants. The overall life time prevalence of febrile convulsion was 4.1 per 1000 people. The frequency of attacks per year and per month were 3.0 ± 1.6 and 0.5 ± 0.1, respectively. Age-specific life time prevalence was highest among the age group of 15–19 years old [32.7 per 1000 persons (95% CI 29.1–36.8)] and it was higher in male (53.8%) than female (46.2%) participants. Our results showed that the life time prevalence of epilepsy in Iran is higher than worldwide average.


Cephalalgia ◽  
2019 ◽  
Vol 39 (7) ◽  
pp. 854-862 ◽  
Author(s):  
Sigrid Børte ◽  
John-Anker Zwart ◽  
Synne Øien Stensland ◽  
Knut Hagen ◽  
Bendik S Winsvold

Background Migraine is known to run in families. While some clinical studies have indicated that migraine is disproportionally transmitted through the maternal line, this has not been examined in a population-based setting. Methods We utilized a large, population-based cohort study from Norway, the HUNT Study. Using a cross-sectional design, our sample consisted of 13,731 parents and 8970 offspring. Logistic regression was used to calculate odds ratios with 95% confidence intervals for active migraine and non-migrainous headache in offspring, given active maternal or paternal headache. Results There was a significant association between maternal migraine and offspring migraine (odds ratio 2.76, 95% confidence interval 2.18–3.51). A weaker association ( p = 0.004 for comparison with maternal migraine) was found between paternal migraine and offspring migraine (odds ratio 1.67, 95% confidence interval 1.33–2.28). For non-migrainous headache, there was a significant association between mothers and offspring (odds ratio 1.25, 95% confidence interval 1.10–1.43), but not between fathers and offspring. Conclusions Parental migraine is associated with offspring migraine, with a stronger association for maternal migraine. This may indicate maternal-specific transmission.


2020 ◽  
Author(s):  
Fu-Rong Li ◽  
Pei-Liang Chen ◽  
Xin Cheng ◽  
Hai-Lian Yang ◽  
Wen-Fang Zhong ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e032953
Author(s):  
Seydou Kaboré ◽  
Tieba Millogo ◽  
Joseph Kouesyandé Soubeiga ◽  
Hermann Lanou ◽  
Brice Bicaba ◽  
...  

ObjectiveThe objective of this study was to determine the prevalence and predictors of overweight and obesity in Burkina Faso using a population-based countrywide sample. We hypothesise that there is a significant burden related to overweight/obesity in Burkina Faso.DesignSecondary analysis of a population-based countrywide cross-sectional study.SettingBurkina Faso, all the 13 regions including both rural and urban residential areas.Participants4800 participants of both sexes, aged between 25 and 64 years.Main outcomesOverweight and obesity using body mass index cut-off levels of the WHO.ResultsThe prevalence of overweight and obesity in Burkina Faso were 13.82% (95% CI: 12.25 to 15.55) and 4.84% (95% CI: 3.99 to 5.86), respectively. Among men, the proportional odds of overweight/obesity increase with urban residency (p<0.001), greater age (p<0.002), marital status different from single (p≤0.007) and decrease with current smoking (p=0.009). Among women, the proportional odds of overweight/obesity increase with urban residency (p<0.001), primary educational level (p=0.01), high total blood cholesterol level (p<0.001) and high fasting blood glucose level (p=0.02), and decrease with current smoking (p<0.001).ConclusionOur study showed that nearly one person out of five in the adult population of Burkina has an abnormal weight status with women being more affected than men. Urban residency is a consistent risk factor in both men and women. Alcohol consumption and education were associated with an increased odds in only women. Overnutrition needs to be recognised as an important public health issue in Burkina Faso and nutrition interventions need to be reshaped to account for it.


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