Risk factors for C-section delivery and population attributable risk for C-section risk factors in Southwest of Iran: A prospective cohort study

Background: Iran has a high C-section rate (40.6 in 2005). The objective of this study was to assess the associations and population-attributable risks (PAR) of risk factors combinations and Csection in the Southwest Iran. Methods: We performed a population-based cohort study using the reports provided by Shiraz University of Medical Sciences. The cohort included pregnant women within September 2012 and February 2013 (n=4229), with follow-up until delivery. Then, the actual delivery was recorded; i.e., C-section delivery, vaginal delivery, and miscarriage. A multiple logistic regression model was used to estimate the point and the interval probability. The adjusted population attributable risks (aPARs) were calculated through adjusted odds ratio from the final multiple logistic regression models for each variable. Results: Of 4,217 deliveries, 2,624 ones were C-section (62.2). The rate of C-section was significantly higher in healthcare departments of private clinics compared to governmental clinics. The rate increased steadily with the mother's age, marriage age, family income and education. The multiple logistic regression analysis showed that local healthcare, supplementary insurance, maternal age, age of marriage, place of birth, family income, maternal education, education of husband and occupation were the key contributing factors to choose the mode of delivery. The multiple logistic regression analysis for reproductive factors showed that parity, previous abortion and stillbirth, previous infertility, birth weight (g) and number of live births were selected risk factors for C-section. Among the exposures, family income, location of healthcare and place of birth showed the highest population attributable risks: 43.86, 19.2 and 18.53; respectively. Conclusion: In this survey, a relatively large contribution of non-medical factors was identified against the background of C-section. All of these factors influence the knowledge, attitudes and norms of the society. Thus, the attention of policymakers should be drawn to the factors associated with this mode of delivery

Association between social capital, health-related quality of life, and mental health: A structural-equation modeling approach

Aim To explore the association(s) between demographic factors, socioeconomic status (SES), social capital, healthrelated quality of life (HRQoL), and mental health among residents of Tehran, Iran. Methods The pooled data (n = 31 519) were extracted from a population-based survey Urban Health Equity Assessment and Response Tool-2 (Urban HEART-2) conducted in Tehran in 2011. Mental health, social capital, and HRQoL were assessed using the 28-item General Health Questionnaire (GHQ-28), social capital questionnaire, and Short-Form Health Survey (SF-12), respectively. The study used a multistage sampling method. Social capital, HRQoL, and SES were considered as latent variables. The association between these latent variables, demographic factors, and mental health was determined by structural-equation modeling (SEM). Results The mean age and mental health score were 44.48 ± 15.87 years and 23.33 ± 11.10 (range, 0-84), respectively. The prevalence of mental disorders was 41.76 (95 confidence interval 41.21-42.30). The SEM model showed that age was directly associated with social capital (P = 0.016) and mental health (P = 0.001). Sex was indirectly related to mental health through social capital (P = 0.018). SES, HRQoL, and social capital were associated both directly and indirectly with mental health status. Conclusion This study suggests that changes in social capital and SES can lead to positive changes in mental health status and that individual and contextual determinants influence HRQoL and mental health

Dietary total antioxidant capacity and odds of lung cancer: a large case-control study

Background& aims: We aimed to study the association between dietary total antioxidant capacity (dTAC) and lung cancer (LC) odds in an Iranian population. Methods: We recruited histopathologically diagnosed LC patients and healthy subjects from 10 provinces of Iran. Trained interviewers conducted face-to-face interviews using a structured questionnaire to collect demographic and other non-dietary information. Dietary habits in the previous year were evaluated using a validated food frequency questionnaire (FFQ). We calculated daily energy and nutrient intakes using the USDA Food Composition Table. DTAC was assessed as ferric reducing antioxidant power (FRAP) and total radical-trapping antioxidant parameters (TRAP) whose scores were calculated using published databases. The odd ratios (OR) of LC and 95% confidence intervals (CI) were estimated using unconditional logistic regression after adjusting for potential confounders. Moreover, we assessed the associations in stratified groups of age, gender, tobacco including waterpipe smoking, and opium use. Results: Six hundered and sixty patients and 3,412 healthy controls were included in our study. Higher FRAP and TRAP scores were associated with a lower odd of LC (FRAP, upper tertile (T3) vs. lower tertile (T1): OR = 0.53, 95% CI: 0.40–0.68; TRAP, T3 vs. T1: OR = 0.44, 95% CI: 0.33–0.57) with a significant dose-response trend for both scores (p < 0.01). The inverse association was seen for both indicators in all histologic types of LC and in all stratified analyses including male/female, tobacco smokers/nonsmokers, opium users/nonusers, water pipe users/nonusers, and subjects under/over 50 years of age. However, Interaction between none of these variables with dTAC scores was significant. Conclusion: Higher dTAC is associated with a lower odd of LC. The strong association in all subgroups highlights the importance of an antioxidant-rich diet intake in all subjects, even in the low-risk group

Unveiling an Association between Waterpipe Smoking and Bladder Cancer Risk: A Multicenter Case-Control Study in Iran

Background: Limited data exist for the association between bladder cancers and waterpipe smoking, an emerging global public health concern. Methods: We used the IROPICAN database in Iran and employed multivariable logistic regression, adjusting for cigarette smoking, opium use, and other confounding factors. In addition, we studied the association between exclusive waterpipe smoking and bladder cancer. Results: We analyzed 717 cases and 3477 controls and a subset of 215 patients and 2145 controls who did not use opium or cigarettes. Although the OR adjusted for opium, cigarettes, and other tobacco products was 0.92 (95% CI: 0.69, 1.20), we observed a statistically significant elevated risk in exclusive waterpipe smokers (OR=1.78, 95% CI 1.16, 2.72) compared to non-users of opium or any tobacco. Associations were strongest for smoking more than two heads/day (OR=2.25, 95% CI: 1.21, 4.18) and for initiating waterpipe smoking at an age less than 20 (OR=2.73, 95% CI 1.11, 6.72). The OR for urothelial bladder cancer was higher in ex-smokers (OR=2.35, 95% CI 1.24-4.42) than in current smokers (OR=1.52, 95% CI 0.72-3.15). All observed associations were consistently higher for urothelial histology. Conclusions: Waterpipe smoking may be associated with an increased risk of bladder cancer, notably among individuals who are not exposed to cigarette smoking and opium. Impact: The study provides compelling evidence that waterpipe smoking is a confirmed human carcinogen, demanding action from policymakers

Diminishing benefits of urban living for children and adolescents’ growth and development

Optimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1–6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5–19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was <1.1 kg m–2 in the vast majority of countries. Within this small range, BMI increased slightly more in cities than in rural areas, except in south Asia, sub-Saharan Africa and some countries in central and eastern Europe. Our results show that in much of the world, the growth and developmental advantages of living in cities have diminished in the twenty-first century, whereas in much of sub-Saharan Africa they have amplified

Repositioning of the global epicentre of non-optimal cholesterol

High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol—which is a marker of cardiovascular risk—changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million–4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world

Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c

Fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29-39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance