Reproductive Assessment: Findings from 20 Years of the Tehran Lipid and Glucose Study

Early menopause in mothers and the risks of pre-diabetes and type 2 diabetes mellitus in female and male offspring: a population-based cohort study

BACKGROUND

Genetic factors and an unfavorable intrauterine environment may contribute to the development of metabolic disorders in offspring later in life. The present study aims to investigate and compare the risks of pre-diabetes mellitus (pre-DM), type 2 diabetes mellitus (T2DM) and abnormal glucose tolerance in female and male offspring with early maternal menopausal age versus those with normal maternal menopausal age, later in life.

METHODS

In this prospective population-based study, there were 1,516 females and 1,563 males with normal maternal menopausal age, as well as 213 females and 237 males with early maternal menopausal age. Unadjusted and adjusted cox regression models were used to assess the hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between early maternal menopausal age with pre-DM, T2DM and abnormal glucose tolerance in offspring. Statistical analysis was performed using the STATA software package; the significance level was set at P < 0.05.

RESULTS

The present study revealed a higher risk of pre-DM in female offspring with early maternal menopausal age compared to females with normal maternal menopausal age (unadjusted HR (95% CI): 1.42 (0.98, 2.05); P = 0.06 (marginal significant) and adjusted HR (95% CI): 1.47 (1.00, 2.16); P = 0.04). Additionally, a higher risk of abnormal glucose tolerance among female offspring with early maternal menopausal age in adjusted model was observed (HR (95% CI): 1.13 (0.99-1.29); P = 0.06, marginal significant). However, no significant differences were observed in the risks of developing pre-DM and abnormal glucose tolerance in male offspring with early maternal menopausal age compared to males with normal maternal menopausal age in both unadjusted and adjusted models. No significant difference was observed in the risk of T2DM in the offspring with early maternal menopausal age compared to offspring with normal maternal menopausal age.

CONCLUSIONS

This pioneering study, characterized by a long-term follow-up, demonstrated that early maternal menopausal age is associated with an increased risk of developing pre-DM in female offspring later in life. It may be advisable to implement screening for pre-DM and glucose metabolism disorders in these female offspring.

CLINICAL TRIAL NUMBER

Not applicable.

Prolactin levels and chronic kidney disease and the subsequent risk of cardiovascular events: A long term population based cohort study

Both the clearance and secretion of prolactin are disrupted in chronic kidney disease (CKD). Evidence indicates that prolactin may play a role in cardiovascular (CV) disturbances. Considering the increased cardiovascular risk associated with CKD, this study investigates the relationship between prolactin levels, CKD, and the risk of CV events in both women and men, with an average follow-up period of 20 years. The study included 2,005 participants from the Tehran Lipid and Glucose Study (TLGS) who met the inclusion criteria. They were reassessed approximately every three years for a median follow-up of 19.0 years (Interquartile range (IQR):16.4-20.2), during which occurrences of CKD and CV events were recorded. A pooled logistic regression model examined the influence of Prolactin on CV events and its interaction with CKD. During follow-up, we identified 156 incident cases of CV events among men and 73 among women. Median (95%CI) PRL levels were 7.4 (5.5-10.5) ng/mL for men and 15.2 (10.3-23) ng/mL for women. The results of analyses showed that a history of CKD was associated with significantly higher odds of CV events for both men 4.2 (95% CI: 2.6-6.8) and women 5.5 (95% CI: 2.6-11.5). Results remained unchanged after adjustment for confounders including age, waist circumference, smoking, education, history of diabetes and hypertension, and family history of CV events. Interaction analyses revealed no statistically significant interaction between CKD and PRL on the odds of CV events in unadjusted and adjusted models. This consistent pattern was observed regardless of gender. Results of population-based data with over a median follow-up period of 20 years showed that CKD independently increases the risk of CV events in both men and women. However, our findings suggest that this elevated risk may not be substantially influenced by prolactin levels. Further investigation may be warranted to confirm these findings.

Body composition analysis in women with polycystic ovary syndrome: a cross-sectional study from the Tehran Lipid and Glucose Study (TLGS)

BACKGROUND

Obesity is associated with the development of polycystic ovarian syndrome (PCOS), a complex endocrine disorder. However, the correlation between body composition and PCOS in women has not been thoroughly investigated. This study aimed to examine body composition using bioelectrical impedance analysis (BIA) in women with and without PCOS in a population-based study within the Tehran Lipid and Glucose Study (TLGS).

METHODS

We conducted a cross-sectional study among non-menopausal women aged 18-45 who underwent BIA in phase VII of the TLGS. A total of 150 participants with PCOS and 240 without PCOS were included based on the Rotterdam criteria. Baseline demographic, anthropometric, laboratory, and body composition parameters were compared between the two groups.

RESULTS

The mean age was 33.7 ± 7.45 years in the PCOS group and 35.49 ± 7.05 years in the control group. The mean BMI was 27.0 ± 4.0 kg/m2 in the PCOS group and 27.1 ± 4.4 kg/m2 in the control group. No significant differences were found in body composition parameters between the two groups as assessed by BIA. Additionally, there were no correlations between body composition and hormone parameters in PCOS patients.

CONCLUSION

In this sample of non-referral patients with PCOS, the use of BIA did not provide added value beyond conventional anthropometric measures for assessing body composition. Further longitudinal research is needed to determine whether body composition analysis can enhance PCOS evaluation.

Preconceptional maternal hyperandrogenism and metabolic syndrome risk in male offspring: a long-term population-based study

PURPOSE

There is limited research on the effects of maternal hyperandrogenism (MHA) on cardiometabolic risk factors in male offspring. We aimed to compare the risk of metabolic syndrome (MetS) in sons of women with preconceptional hyperandrogenism (HA) to those of non-HA women in later life.

METHODS

Using data obtained from the Tehran Lipid and Glucose Cohort Study, with an average of 20 years follow-up, 1913 sons were divided into two groups based on their MHA status, sons with MHA (n = 523) and sons without MHA (controls n = 1390). The study groups were monitored from the baseline until either the incidence of events, censoring, or the end of the study period, depending on which occurred first. Age-scaled unadjusted and adjusted Cox regression models were utilized to evaluate the hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between MHA and MetS in their sons.

RESULTS

There was no significant association between MHA and HR of MetS in sons with MHA compared to controls, even after adjustment (unadjusted HR (95% CI) 0.94 (0.80-1.11), P = 0.5) and (adjusted HR (95% CI) 0.98 (0.81-1.18), P = 0.8). Sons with MHA showed a HR of 1.35 for developing high fasting blood sugar compared to controls (unadjusted HR (95% CI) 1.35 (1.01-1.81), P = 0.04), however, after adjustment this association did not remain significant (adjusted HR (95% CI) 1.25 (0.90-1.74), P = 0.1).

CONCLUSION

The results suggest that preconceptional MHA doesn't increase the risk of developing MetS in sons in later life. According to this suggestion, preconceptional MHA may not have long-term metabolic consequences in male offspring.

Adipokines and adiposity among postmenopausal women of the Multi-Ethnic Study of Atherosclerosis

OBJECTIVE

We investigated whether the associations of serum adiponectin, leptin, and resistin with adiposity differ with menopausal age.

METHODS

In this cross-sectional study, we included 751 postmenopausal women from the Multi-Ethnic Study of Atherosclerosis (MESA) who reported their menopausal age (<45, 45-49, 50-54 and ≥55 y) and had anthropometrics, serum adipokines, and abdominal computed tomography measures of visceral and subcutaneous adipose tissue (VAT and SAT) obtained at MESA exam 2 or 3. Linear regression models were used for analysis.

RESULTS

The mean ± SD age was 65.1 ± 9.0 years for all participants. The median (interquartile range) values for serum adiponectin, leptin and resistin, VAT, and SAT were 21.9 (14.8-31.7) ng/L, 24.3 (12.5-42.4) pg/L, 15.3 (11.8-19.5) pg/L, 183.9 (130.8-251.1) cm2, and 103.7 (65.6-151.5) cm2, respectively. The mean ± SD values for body mass index, waist circumference, and waist-to-hip ratio were 28.3 ± 5.81 kg/m2, 96.6 ± 15.9 cm, and 0.91 ± 0.078, respectively. Adiponectin was inversely associated with all adiposity measures, with similar patterns across menopausal age categories. Leptin was positively associated with all adiposity measures, and the strength of associations varied across menopausal age categories for body mass index, waist circumference, and SAT (Pinteraction ≤ 0.01 for all). The associations of resistin with adiposity measures were mostly nonsignificant except in the 45- to 49-year menopausal age category.

CONCLUSIONS

Menopausal age category had no influence on the association of serum adiponectin with adiposity. The association of serum leptin and resistin differed according to menopausal age category for generalized adiposity but was inconsistent for measures of abdominal adiposity.

A prospective study on the relationship between polycystic ovary syndrome and age at natural menopause

OBJECTIVE

This study aimed to determine whether polycystic ovary syndrome (PCOS) was associated with age at menopause, compared with women without PCOS, after adjusting for potential confounders.

METHODS

A total of 1,696 reproductive-aged participants from the Tehran Lipid and Glucose Study were included in this population-based prospective study with a follow-up of approximately 20 years. Of these, 348 women with PCOS based on the Rotterdam criteria and 1,348 non-PCOS controls were followed to assess the age at which they reached menopause. An accelerated failure time survival regression model was used to identify the association between PCOS and the age at natural menopause (ANM), with and without adjustment for potential confounders.

RESULTS

The unadjusted accelerated failure time survival model revealed a significant positive association between PCOS and ANM; PCOS women experienced time to menopause by a factor of 1.05 than non-PCOS controls (95% confidence interval, 1.02-1.06; P < 0.001). After adjusting for age at baseline, menarche age, history of hypertension, history of type 2 diabetes mellitus, parity, oral contraceptive use, body mass index, education level, physical activity, and smoking, the results remained significant (time ratio: 1.03; 95% confidence interval, 1.01-1.06; P = 0.002).

CONCLUSIONS

This study indicates that ANM is significantly associated with PCOS in women. Our study findings may have implications for the fertility and reproductive health of women with PCOS. However, further large longitudinal studies on diverse populations accounting for other relevant confounders are still needed to provide data on the actual difference in age at menopause and to elucidate the underlying mechanisms of this association.

Maternal androgen excess increases the risk of pre-diabetes mellitus in male offspring in later life: a long-term population-based follow-up study

PURPOSE

Prenatal androgen exposure could be a source of early programming, leading to the development of cardiometabolic diseases in later life. In this study, we aimed to examine cardiometabolic disturbances in males exposed to maternal androgen excess during their prenatal life.

METHODS

In this prospective population-based study, 409 male offspring with maternal hyperandrogenism (MHA), and 954 male offspring without MHA, as controls, were included. Both groups of male offspring were followed from the baseline to the date of the incidence of events, censoring, or end of the study period, whichever came first. Age-scaled unadjusted and adjusted Cox regression models were applied to assess the hazard ratios (HR) and 95% confidence intervals (CIs) for the association between MHA with pre-diabetes mellitus (Pre-DM), type 2 diabetes mellitus (T2DM), pre-hypertension (Pre-HTN), hypertension (HTN), dyslipidemia, overweight, and obesity in the offspring of both groups. Statistical analysis was performed using the STATA software package; the significance level was set at P < 0.05.

RESULTS

A higher risk of Pre-DM (adjusted HR: 1.46 (1.20, 1.78)) was observed in male offspring with MHA after adjustment for potential confounders, including body mass index, education, and physical activity. However, no significant differences were observed in the risk of T2DM, Pre-HTN, HTN, dyslipidemia, overweight, and obesity in males with MHA compared to controls in both the unadjusted and adjusted models.

CONCLUSION

Maternal androgen excess increases the risk of Pre-DM in male offspring in later life. More longitudinal studies with long enough follow-up are needed to clarify the effects of MHA on the cardiometabolic risk factors of male offspring in later life.

Self-reported Male Infertility and Metabolic Disturbance: A Cross-Sectional Study

Background

Male infertility is a growing health problem. It is proposed that infertility is associated with some metabolic abnormalities.

Objectives

This study aimed to examine the prevalence of self-reported male infertility and related metabolic disturbances.

Methods

This is a cross-sectional analysis of the Tehran Lipid and Glucose Study (TLGS). A total of 1526 males participated in the study. Logistic regression was used to examine metabolic factors associated with self-reported male infertility.

Results

The total prevalence of self-reported male infertility was 6.42%. The mean (SD) body mass index (BMI) of participants among fertile and infertile males was 26.80 (3.93) and 26.92 (4.36), respectively. The majority of participants in both groups were in the age group of 40-50 years old. In the fully adjusted model, the odds of infertility were significantly increased by each unit increase in total cholesterol [TC; odds ratio (OR), 1.01; 95% CI, 1.01 - 1.01; P = 0.03] and hip circumference (HC; OR, 1.06; 95% CI, 1.00 - 1.12; P = 0.02), respectively.

Conclusions

The prevalence of self-reported male infertility was 6.42%. Male infertility was positively associated with TC and HC, indicating that knowledge about these risks might assist health care professionals and governments in developing and executing measures to change the status quo.

The relationship of reproductive factors with adiposity and body shape indices changes overtime: findings from a community-based study

BACKGROUND

Studies focusing on the relationships of adiposity and body shape indices with reproductive factors have reported conflicting results. This study aimed to investigate the influence of reproductive factors on adiposity and body shape indices changes overtime.

MATERIALS AND METHODS

In this community-based prospective study, 1636 postmenopausal women were selected from Tehran Lipid and Glucose Study (TLGS). The unadjusted and adjusted Generalized Estimating Equation models (GEE) were applied to investigate secular longitudinal trends of adiposity and body shape indices.

RESULTS

According to the adjusted GEE models, mean changes in body mass index (BMI) in women with early menarche was 1.18 kg/m² higher than those with normal menarche age (P = 0.030). Moreover, the mean changes in BMI overtime were 0.11 kg/m² higher in women with premature/early menopausal age than those with normal menopausal age (P = 0.012). Mean changes of waist circumference (WC) in women with late menopause were 2.27 cm higher than those with normal menopausal age (P = 0.036). We also observed higher mean changes in a body shape index (ABSI) in women with late menopause (P = 0.037), compared to those with normal menopausal age. We found a marginal effect of parity on BMI and WC as well.

CONCLUSIONS

This study demonstrated higher BMI in females with earlier menarche age. We also showed higher values of BMI overtime in women with premature/ early menopause, whereas women with late menopausal age had higher WC and ABSI values. However, more longitudinal studies investigating body composition indices by adjusting all potential confounders are still required to confirm our study findings.

Maternal hyperandrogenism is associated with a higher risk of type 2 diabetes mellitus and overweight in adolescent and adult female offspring: a long-term population-based follow-up study

PURPOSE

Adverse intrauterine environment may predispose offspring to cardio-metabolic dysfunction in later life. In this study, we aimed to investigate the effects of maternal hyperandrogenism (MH) on cardio-metabolic risk factors in female offspring in later life.

METHODS

This prospective population-based study included 211 female offspring with MH and 757 female offspring without MH (controls). Both groups were followed from baseline to the date of incidence of events, censoring, or end of the study period, whichever came first. Age scaled unadjusted and adjusted cox regression models were applied to assess the hazard ratios (HR) and 95% confidence intervals (CIs) for the association of MH with pre-diabetes (pre-DM), type 2 diabetes mellitus (T2DM), overweight and obesity in offspring of both groups. Statistical analysis was performed using the software package STATA; significance level was set at P < 0.05.

RESULTS

This study revealed a higher risk of T2DM (unadjusted HR 2.67, 95% CI 1.33-5.36) and overweight (unadjusted HR 1.41, 95% CI 1.06-1.88) in female offspring with MH, compared to controls. Results remained unchanged after adjustment for potential confounders including body mass index, education, physical activity, mother's age at delivery, birth weight, and childhood obesity. However, no significant difference was observed in the risk of pre-DM and obesity in females with MH, compared to controls in both unadjusted and adjusted models.

CONCLUSION

This pioneer study with a long-term follow-up demonstrated that MH increases the risk of developing T2DM and being overweight in female offspring in later life. Further long-term population-based studies are needed to confirm these findings.

The Prevalence of Polycystic Ovary Syndrome, Its Phenotypes and Cardio-Metabolic Features in a Community Sample of Iranian Population: Tehran Lipid and Glucose Study

Objectives

The aim of the present study was to evaluate the prevalence of polycystic ovary syndrome (PCOS), its phenotypical and cardio-metabolic features in a community sample of the Iranian population in comparison to healthy eumenorrheic, non-hirsute women without polycystic ovaries. The second aim was to assess the cardio-metabolic characteristics of women who suffered from one criteria of PCOS compared to those healthy eumenorrheic, non-hirsute women.

Methods

In this cross-sectional population-based study, a total of 1,960 eligible women, aged (18-45 years) were recruited from the Tehran-Lipid and Glucose-Study participants and were classified as the three groups of (i) women with PCOS by the Rotterdam criteria, (ii) non-PCOS women with one criteria of PCOS and (iii) healthy eumenorrheic, non-hirsute women without polycystic ovaries morphology (PCOM) as the control group. Further PCOS women were extended to four phenotypes of hyperandrogenism, oligo-anovulation, polycystic ovaries (phenotype A), hyperandrogenism, oligo/anovulation (phenotype B), hyperandrogenism, polycystic ovaries (phenotype C) and oligo-anovulation, polycystic ovaries (phenotype D). Cardio-metabolic profiles and the prevalence of comorbidities of metabolic syndrome (MetS) and lipid abnormalities were compared among these groups linear, and the median regression models adjusted for age and body mass index.

Results

The prevalence of PCOS according to the diagnostic criteria of the NIH, Rotterdam and AE-PCOS Society were 13.6, 19.4, and 17.8, respectively. Among those who met the Rotterdam criteria, 23.9, 46.3, 21.6, and 8.2% had phenotypes A, B, C, and D, respectively. Among the remaining 1,580 women who did not fulfil the PCOS criteria, 108 (6.8%) suffered from only oligo/anovulation, 332 (21%) only hyperandrogenism/hyperandrogenemia, 159 (16.2%) only PCOM in ultrasound and 981 (62%) were healthy eumenorrheic, non-hirsute women without PCOM. The study revealed that some adiposity indices and lipid abnormalities in PCOS phenotypes with hyperandrogenism (A, B, and C) were worse than in healthy women. By contrast, women with phenotype D did not differ from the healthy ones in terms of adiposity and lipid abnormalities. However, the respective values for other cardio-metabolic profiles and MetS rates in different phenotypes of PCOS were similar to the healthy women. Only the prevalence of MetS in phenotype A was significantly higher than in the healthy women. There were no statistically significant differences between participants with one criteria of PCOS and healthy counterparts in terms of most adiposity indexes, cardio-metabolic factors, and comorbidity of MetS and its components. However, women with hyperandrogenism had a significantly higher level of the waist to height ratio (WHtR) and hypertriglyceridemia than their healthy counterparts.

Conclusion

PCOS, mainly classical phenotypes A and B, are common among Iranian women of reproductive age. Women with PCOS who had androgen excess exhibited the worst lipid profile, and those who had full three criteria of the syndrome exhibited the higher rate of MetS. However, women with only ovulatory dysfunction and only PCOM had similar cardio-metabolic characteristics, compared to healthy subjects. These data suggest that routine screening for metabolic disturbances may be needed in the prevention of cardio-metabolic disorders in patients with more serious phenotypes of PCOS.

The association between subclinical hypothyroidism and TPOAb positivity with infertility in a population-based study: Tehran thyroid study (TTS)

BACKGROUND

Thyroid autoimmunity(TAI) is the most prevalent autoimmune condition in women of fertile age. There are increasing data regarding the association of thyroid dysfunction and thyroid autoimmunity with adverse pregnancy outcomes but there is no consensus regarding infertility and TPOAb positivity; thus we aimed to evaluate the association between thyroid TPOAb positivity and infertility in females and males in a population-based study (TTS).

METHODS

Cross-sectional study of 3197 female and male participants in Tehran Thyroid Study (TTS) at the framework of the Tehran Lipid and Glucose Study (TLGS). Data included biochemical measurements and a self-administered questionnaire.

RESULTS

A total of 12,823 cases in phase 4, 3719 cases (2108 female and 1611 male) were analyzed. The mean TSH of the infertile female and male was 2.52 ± 2.68 μIU/ml and 3.24 ± 10.26 μIU/ml respectively. The TPO median(IQR) of women with and without a history of infertility were 6.05 (3.30-13.96)and 6.04 (3.17-11.15);(P = 0.613), they were 5.08 (3.20-125.68) and 5.31 (3.93-125.68);(P = 0.490) in male participants, respectively. Results of crude and adjusted logistic regression analysis of the development of infertility by thyroid function and TPOAb, except for fT4 in male subjects, depicted no association between infertility and other variables in both crude and adjusted models.

CONCLUSION

Based on the result, thyroid autoimmunity was not associated with infertility in both females and males.

The Association Between Male Infertility and Cardiometabolic Disturbances: A Population-Based Study

BACKGROUND

Further studies are needed to extend our knowledge about the association between male infertility and cardio-metabolic disorders.

OBJECTIVES

We aimed to assess the association between male infertility and cardiometabolic disturbances using a population-based design.

METHODS

In total, 1611 participants of the Tehran-Lipid and Glucose-Study (phase III) were categorized into two groups of men with documented male infertility (n = 88) and those with at least one live birth and no history of primary infertility (n = 1523). Logistic regression was applied to explore the association between male infertility and cardiometabolic disturbances, including diabetes mellitus, pre-diabetes, hypertension, metabolic syndrome, dyslipidemia, obesity, central obesity, and chronic kidney disease, following adjustment for age and body mass index (BMI).

RESULTS

The unadjusted model revealed a significant association between infertility and hypertension and CKD (OR = 1.8; 95% CI: 1.2, 2.9, P-value = 0.006 and OR = 1.9; 95% CI: 1.1, 3.6, P-value = 0.033), respectively. However, after adjusting for age and BMI, as potential confounders, this association was not significant. Moreover, there was no association between infertility and other cardiometabolic disturbances, including diabetes and pre-diabetes, metabolic syndrome, dyslipidemia, obesity, and central obesity in both unadjusted and adjusted models.

CONCLUSIONS

Our study revealed no association between male infertility and cardiometabolic disturbances. The findings can pave the way for further studies to extend our knowledge in this field. More population-based studies with a large sample size are warranted to confirm these findings.

Does the Anti-Mullerian Hormone Decline Rate Improve the Prediction of Age at Menopause?

OBJECTIVES

There are controversial studies investigating whether multiple anti-Mullerian hormone (AMH) measurements can improve the individualized prediction of age at menopause in the general population. This study aimed to reexplore the additive role of the AMH decline rate in single AMH measurement for improving the prediction of age at physiological menopause, based on two common statistical models for analysis of time-to-event data, including time-dependent Cox regression and Cox proportional-hazards regression models.

METHODS

A total of 901 eligible women, aged 18-50 years, were recruited from the Tehran Lipid and Glucose Study (TLGS) population and followed up every 3 years for 18 years. The serum AMH level was measured at the time of recruitment and twice after recruitment within 6-year intervals using the Gen II AMH assay. The added value of repeated AMH measurements for the prediction of age at menopause was explored using two different statistical approaches. In the first approach, a time-dependent Cox model was plotted, with all three AMH measurements as time-varying predictors and the baseline age and logarithm of annual AMH decline as time-invariant predictors. In the second approach, a Cox proportional-hazards model was fitted to the baseline data, and improvement of the complex model, which included repeated AMH measurements and the logarithm of the AMH annual decline rate, was assessed using the C-statistic.

RESULTS

The time-dependent Cox model showed that each unit increase in the AMH level could reduce the risk of menopause by 87%. The Cox proportional-hazards model also improved the prediction of age at menopause by 3%, according to the C-statistic. The subgroup analysis for the prediction of early menopause revealed that the risk of early menopause increased by 10.8 with each unit increase in the AMH annual decline rate.

CONCLUSION

This study confirmed that multiple AMH measurements could improve the individual predictions of the risk of at physiological menopause compared to single AMH measurements. Different alternative statistical approaches can also offer the same interpretations if the essential assumptions are met.

Contributions and Implications of the Tehran Lipid and Glucose Study

Tehran Lipid and Glucose Study (TLGS), an epidemiological study of non-communicable disease with 20 years follow up in a developing country in nutrition transition is a unique study in 15000 family based individuals, 3 - 75 years of age in a part of large city of Tehran. The success rate of recruitment for 20 years, intervention for lifestyle change, and thyroid, reproduction and cardiometabolic genetic studies derived from TLGS have paved suitable path towards precision medicine. In this review, baseline findings and changes of risk factors for the development of NCD including body weight, nutrition, physical activity, blood pressure, tobacco smoking, serum glucose and serum lipids as well as metabolic syndrome, chronic kidney disease, quality of life and biochemical findings in TLGS cohort have been summarized. The results of community based intervention for lifestyle change caused decreases in the prevalence of metabolic syndrome and the incidence of diabetes. It is concluded that TLGS has served as a model for other cohort studies in Iran and the region; it has helped to mobilize scientists in developing countries; it has established locally needed definitions of NCD variables; has served as a model for cohort studies in developing countries in nutrition transition with all socioeconomic constraints and has helped manpower education and development of local CVD risk scores for implementation of NCD management.