scholarly journals Anthropometric Indices and Age at Natural Menopause: A 15-Year Follow-Up Population-Based Study

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Maryam Farahmand ◽  
Fahimeh Ramezani Tehrani ◽  
Maryam Rahmati ◽  
Fereidoun Azizi
Keyword(s):  
Longitudinal Study ◽  
Failure Time ◽  
Shape Index ◽  
Population Based ◽  
Anthropometric Indices ◽  
Eligibility Criteria ◽  
Natural Menopause ◽  
Time Ratio ◽  
Study Results

Background: Following menopause, the risk of many diseases is increased, and this situation may be due to changes in anthropometric indices (AI), while the association between adiposity and age at natural menopause (ANM) is not clear yet. Objectives: This longitudinal study was conducted to investigate the ability of AI in predicting ANM. Methods: For this purpose, a total of 3,876 women aged > 20 years old from participants of the Tehran lipid and glucose study (TLGS) met our eligibility criteria. The association between ANM and various AIs was assessed using the Accelerated Failure Time (AFT) model, and time ratio (TR) with 95% confidence intervals were reported in this longitudinal study. Results: The median [interquartile range (IQR) 25 - 75] of the survival time was 12.5 (7.9 - 15.8) years. At the end of the follow-up, 1,479 (38.2%) of the participants reached menopause. The median time to natural menopause was decreased by about 2% with one standard deviation (SD) increase of both a body shape index (ABSI) (time ratio (TR): 0.98, 95% CI: 0.97, 0.99) and lipid accumulation product (LAP) (TR: 0.98, 95% CI: 0.98, 0.99) z-scores; and this time was increased by about 1% (TR: 1.01, 95% CI: 1.00, 1.02) with one SD increase in body mass index (BMI) z-score. Conclusions: The ABSI, LAP, and BMI were the most useful AIs for identification of the time to menopause onset, and ABSI and LAP were inversely associated with the ANM. Also, the BMI was directly associated with the ANM.

scholarly journals Modeling Age at Menopause Using Serum Concentration of Anti-Mullerian Hormone

2013 ◽  
Vol 98 (2) ◽  
pp. 729-735 ◽  
Author(s):  
Fahimeh Ramezani Tehrani ◽  
Masoud Solaymani-Dodaran ◽  
Maryam Tohidi ◽  
Mahmood Reza Gohari ◽  
Fereidoun Azizi
Keyword(s):  
Serum Concentration ◽  
Failure Time ◽  
Population Based ◽  
Accelerated Failure Time Model ◽  
Correct Prediction ◽  
Eligibility Criteria ◽  
Time Model ◽  
Age At Menopause ◽  
Reproductive Aged Women

Abstract Context: Anti-Mullerian hormone (AMH) has already been used for prediction of age at menopause with promising results. Objective: We aimed to improve our previous prediction of age at menopause in a population-based cohort by including all eligible subjects and additional follow-up time. Design and Setting: All reproductive-aged women who met our eligibility criteria were selected from the Tehran Lipid and Glucose Study. The serum concentration of AMH was measured at the time of recruitment, and participant's date of menopause was recorded over a 10-year follow-up. Subjects: A total of 1015 women, aged 20 to 50 years, with regular and predictable menstrual cycles at the initiation of the study were recruited. Main Outcome Measure: The actual ages at menopause were compared with the predicted ones obtained from accelerated failure time model. Results: We observed 277 occurrences of menopause. Median menopausal age was 50 years (range 30.1–58.2 years). The median (SD) of differences between the actual menopausal age and those predicted by our model was 0.5 (2.5) years. Model adequacy (measured by C-statistics) for correct prediction of age at menopause was 92%. The estimated ages at menopause and their 95% confidence intervals for a range of values of AMH and age were calculated and summarized in a table. Conclusions: Using a model built on age and AMH, we can predict age at menopause many years earlier. This could provide opportunities for interventions in those who are at risk of early or late menopause.

scholarly journals Subsequent urinary stone events are predicted by the magnitude of urinary oxalate excretion in enteric hyperoxaluria

2020 ◽  
Author(s):  
Matthew R D’Costa ◽  
Annamaria T Kausz ◽  
Kevin J Carroll ◽  
Jóhann P Ingimarsson ◽  
Felicity T Enders ◽  
...  
Keyword(s):  
Kidney Stones ◽  
Failure Time ◽  
Population Based ◽  
Accelerated Failure Time ◽  
Urinary Oxalate ◽  
Diagnostic Codes ◽  
Time Modeling ◽  
The Relationship ◽  
Annual Risk

Abstract   Data directly demonstrating the relationship between urinary oxalate (UOx) excretion and stone events in those with enteric hyperoxaluria (EH) are limited. Therefore, we assessed the relationship between UOx excretion and risk of kidney stone events in a retrospective population-based EH cohort. In all, 297 patients from Olmsted County, Minnesota were identified with EH based upon having a 24-h UOx ≥40 mg/24 h preceded by a diagnosis or procedure associated with malabsorption. Diagnostic codes and urologic procedures consistent with kidney stones during follow-up after baseline UOx were considered a new stone event. Logistic regression and accelerated failure time modeling were performed as a function of UOx excretion to predict the probability of new stone event and the annual rate of stone events, respectively, with adjustment for urine calcium and citrate. Mean ± standard deviation age was 51.4 ± 11.4 years and 68% were female. Median (interquartile range) UOx was 55.4 (46.6–73.0) mg/24 h and 81 patients had one or more stone event during a median follow-up time of 4.9 (2.8–7.8) years. Higher UOx was associated with a higher probability of developing a stone event (P < 0.01) and predicted an increased annual risk of kidney stones (P = 0.001). Estimates derived from these analyses suggest that a 20% decrease in UOx is associated with 25% reduction in the annual odds of a future stone event. Thus, these data demonstrate an association between baseline UOx and stone events in EH patients and highlight the potential benefit of strategies to reduce UOx in this patient group. Background Data directly demonstrating the relationship between urinary oxalate (UOx) excretion and stone events in those with enteric hyperoxaluria (EH) are limited. Methods We assessed the relationship between UOx excretion and risk of kidney stone events in a retrospective population-based EH cohort. In all, 297 patients from Olmsted County, Minnesota were identified with EH based upon having a 24-h UOx ≥40 mg/24 h preceded by a diagnosis or procedure associated with malabsorption. Diagnostic codes and urologic procedures consistent with kidney stones during follow-up after baseline UOx were considered a new stone event. Logistic regression and accelerated failure time modeling were performed as a function of UOx excretion to predict the probability of new stone event and the annual rate of stone events, respectively, with adjustment for urine calcium and citrate. Results Mean ± SD age was 51.4 ± 11.4 years and 68% were female. Median (interquartile range) UOx was 55.4 (46.6–73.0) mg/24 h and 81 patients had ≥1 stone event during a median follow-up time of 4.9 (2.8–7.8) years. Higher UOx was associated with a higher probability of developing a stone event (P < 0.01) and predicted an increased annual risk of kidney stones (P = 0.001). Estimates derived from these analyses suggest that a 20% decrease in UOx is associated with 25% reduction in the annual odds of a future stone event. Conclusions These data demonstrate an association between baseline UOx and stone events in EH patients and highlight the potential benefit of strategies to reduce UOx in this patient group.

scholarly journals Population-Based Longitudinal Study of Follow-Up Care for Patients With Colorectal Cancer in Nova Scotia

2012 ◽  
Vol 8 (4) ◽  
pp. 246-252 ◽  
Author(s):  
Robin Urquhart ◽  
Amy Folkes ◽  
Geoffrey Porter ◽  
Cynthia Kendell ◽  
Martha Cox ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Primary Care ◽  
Longitudinal Study ◽  
Nova Scotia ◽  
Continuity Of Care ◽  
Guideline Adherence ◽  
Population Based ◽  
Follow Up Care

Transitioning routine follow-up to primary care could potentially increase guideline adherence by improving access to and continuity of care.

scholarly journals Association Between Sense of Coherence and Health Outcomes at 10 and 20 Years Follow-Up: A Population-Based Longitudinal Study in Germany

2021 ◽  
Vol 9 ◽  
Author(s):  
Anna Dziuba ◽  
Janina Krell-Roesch ◽  
Steffen C. E. Schmidt ◽  
Klaus Bös ◽  
Alexander Woll
Keyword(s):  
Longitudinal Study ◽  
Health Status ◽  
Health Outcomes ◽  
Sense Of Coherence ◽  
Population Based ◽  
Community Dwelling ◽  
Significant Group ◽  
Longitudinal Associations ◽  
Health Parameters

Background: The sense of coherence (SOC) is reported to influence health, but health may also have an impact on SOC. The objective of this study was to examine the longitudinal associations between SOC and selected self-reported and physician-assessed health outcomes over a period of 10 and 20 years and to determine the predominant direction of the associations.Methods: We conducted a population-based, longitudinal study, involving 392 participants (188 females and 204 males; mean age 43.01 years) who were followed for a median of 10 and 18 years. Analyses of variance were carried out to examine the longitudinal associations between SOC at baseline and health outcomes (i.e., self-rated health status, SHS; physical health status assessed by a physician, PHS; self-reported satisfaction with life, SWL) at follow-ups. The direction of associations was examined using a cross-lagged model on correlation coefficients.Results: There were significant group effects for SOC at baseline on SHS at 20-year follow-up (F = 4.09, p = 0.018, ηp2 = 0.041), as well as on SWL at 10-year (F = 12.67, p < 0.01, ηp2 = 0.072) and at 20-year follow-up (F = 8.09, p < 0.1, ηp2 = 0.069). SHS (r = 0.238, p < 0.01), PHS (r = −0.140, p < 0.05) and SWL (r = 0.400, p < 0.01) predicted SOC at 10-year follow-up stronger than vice versa. The direction of associations between SOC and health parameters at 20-year follow-up was less consistent.Conclusions: The long-term associations between SOC and self-reported and physician-assessed health may be reciprocal in community-dwelling adults. More research is needed to examine the predictive power of health on SOC and whether interventions targeted at improving health parameters, may impact SOC.

scholarly journals Change in Headache Suffering and Predictors of Headache after Mild Traumatic Brain Injury: A Population-Based, Controlled, Longitudinal Study with Twelve-Month Follow-Up

2019 ◽  
Vol 36 (23) ◽  
pp. 3244-3252 ◽  
Author(s):  
Lena H. Nordhaug ◽  
Mattias Linde ◽  
Turid Follestad ◽  
Øystein Njølstad Skandsen ◽  
Vera Vik Bjarkø ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Longitudinal Study ◽  
Brain Injury ◽  
Mild Traumatic Brain Injury ◽  
Population Based

scholarly journals Prevalence of premature ovarian insufficiency and its determinants in Iranian populations: Tehran lipid and glucose study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Marzieh Rostami Dovom ◽  
Razieh ‌Bidhendi-Yarandi ◽  
Kazem Mohammad ◽  
Maryam Farahmand ◽  
Fereidoun Azizi ◽  
...  
Keyword(s):  
Failure Time ◽  
Population Based ◽  
Normal Weight ◽  
Influential Factors ◽  
Reproductive Age ◽  
Premature Ovarian Insufficiency ◽  
Ovarian Insufficiency ◽  
Natural Menopause ◽  
Age At Menopause ◽  
Aft Model

Abstract Background Premature ovarian insufficiency (POI) considered as a concerning health issue for women of reproductive age. In this study we aim to estimate the prevalence of POI and assessing the influential factors. Methods Data was obtained from Tehran lipid and glucose study (TLGS). All eligible post-menarcheal female participants of the TLGS, ages 20–65, were recruited (n = 6521). Participants were followed for the event of menopause, and age at menopause was recorded. Kaplan Meier analysis was applied to estimate mean and median for age at menopause. Weibull accelerated failure time survival regression model (AFT), was applied to assess influential determinants of POI. Conditional probability approach was used to provide estimation for prevalence of POI. Results In this population-based study, the prevalence of POI (menopause age < 40 years) and early menopause (menopause age < 45 years) were estimated 3.5% and 24.6%, respectively. AFT model showed that in comparison to normal weight women, time to menopause was decreased by − 0.09 year (95% CI − 0.27, − 0.01, p = 0.023) and − 0.03 year (95% CI − 0.05, − 0.02, p = 0.000) in underweight and overweight women, respectively. Moreover, time to natural menopause was increased by 0.12 year (95% CI 0.07 to 0.17, p = 0.000) in women used oral contraceptives for > 6 months. Conclusion About one quartile of Iranian women experienced menopause at an age less than 45, especially the non-normal weight ones; this high prevalence is a critical public health concerns that needs to be addressed by health policy makers.

scholarly journals The Avon Longitudinal Study of Parents and Children - A resource for COVID-19 research: Questionnaire data capture April-May 2020

2020 ◽  
Vol 5 ◽  
pp. 127 ◽  
Author(s):  
Kate Northstone ◽  
Simown Howarth ◽  
Daniel Smith ◽  
Claire Bowring ◽  
Nicholas Wells ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Sociodemographic Factors ◽  
Population Based ◽  
Online Questionnaire ◽  
Health Records ◽  
Parents And Children ◽  
Seasonal Flu ◽  
The Impact ◽  
Avon Longitudinal Study

The Avon Longitudinal Study of Parents and Children (ALSPAC) is a prospective population-based cohort study which recruited pregnant women in 1990-1992. The resource provides an informative and efficient setting for collecting data on the current coronavirus 2019 (COVID-19) pandemic. In early March 2020, a questionnaire was developed in collaboration with other longitudinal population studies to ensure cross-cohort comparability. It targeted retrospective and current COVID-19 infection information (exposure assessment, symptom tracking and reported clinical outcomes) and the impact of both disease and mitigating measures implemented to manage the COVID-19 crisis more broadly. Data were collected on symptoms of COVID-19 and seasonal flu, travel prior to the pandemic, mental health and social, behavioural and lifestyle factors. The online questionnaire was deployed across the parent and offspring generations between the 9th April and 15th May 2020. 6807 participants completed the questionnaire (2706 original mothers, 1014 original fathers/partners, 2973 offspring (mean age ~28 years) and 114 partners of offspring). Eight (0.01%) participants (4 G0 and 4 G1) reported a positive test for COVID-19, 77 (1.13%; 28 G0 and 49 G1) reported that they had been told by a doctor they likely had COVID-19 and 865 (12.7%; 426 G0 and 439 G1) suspected that they have had COVID-19.  Using algorithmically defined cases, we estimate that the predicted proportion of COVID-19 cases fell between 1.03% - 4.19% depending on timing of measurement during the period of reporting. Data from this first questionnaire will be complemented with at least two more follow-up questionnaires, linkage to health records and results of biological testing as they become available. Data has been released as: 1) a standard dataset containing all participant responses with key sociodemographic factors and 2) as a composite release coordinating data from the existing resource, thus enabling bespoke research across all areas supported by the study.

[P3-292]: DOES THE PREVALENCE OF MCI DECLINE? EVIDENCE FROM A PROSPECTIVE, POPULATION-BASED, LONGITUDINAL STUDY WITH A FOLLOW-UP OF 25 YEARS

2017 ◽  
Vol 13 (7S_Part_22) ◽  
pp. P1054-P1055
Author(s):  
Johannes Schröder ◽  
Pablo Toro ◽  
Claudia Frankenberg ◽  
Christine Sattler ◽  
Benjamin Tauber ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Population Based

Old Age and Loneliness: Cross-sectional and Longitudinal Analyses in the Tampere Longitudinal Study on Aging

2004 ◽  
Vol 23 (2) ◽  
pp. 157-168 ◽  
Author(s):  
Marja Jylhä
Keyword(s):  
Longitudinal Study ◽  
Age Groups ◽  
Population Based ◽  
Household Composition ◽  
Older Age ◽  
Cross Sectional ◽  
Prospective Longitudinal Study ◽  
Sectional Analysis ◽  
Prospective Longitudinal

ABSTRACTThe purpose of this study was to examine whether older age is associated with increasing loneliness in people aged 60 and over. Data came from TamELSA, a population-based prospective longitudinal study in Tampere, Finland. The follow-up time was 20 years. Loneliness was measured by a single question – “Do you feel lonely?“ – with the possible answers often, sometimes, or never. Cross-sectional analysis showed that the percentage of subjects feeling lonely increased toward older age groups, but in a multivariate analysis, only household composition and social participation were independently associated with loneliness. Longitudinal analysis showed that loneliness increased with higher age. Over a 10-year period, loneliness increased most in those who, at baseline, were married and living alone with their spouse. In conclusion, only a minority of older people continuously suffer from loneliness. Loneliness does increase with age, not because of age per se, but because of increasing disability and decreasing social integration.

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