scholarly journals Changes in Hysterectomy Route and Adnexal Removal for Benign Disease in Australia 2001–2015: A National Population-Based Study

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Natalie De Cure ◽  
Stephen J. Robson
Keyword(s):  
Age Groups ◽  
Laparoscopic Hysterectomy ◽  
Abdominal Hysterectomy ◽  
Population Based ◽  
Incidence Rates ◽  
Older Age ◽  
Age Group ◽  
Female Population ◽  
Younger Women ◽  
Younger Age

Objective. Hysterectomy rates have fallen over recent years and there remains debate whether salpingectomy should be performed to reduce the lifetime risk of ovarian cancer. We examined trends in adnexal removal and route of hysterectomy in Australia between 2001 and 2015. Methods. Data were obtained from the national procedural dataset for hysterectomy approach (vaginal, VH; abdominal, AH; and, laparoscopic, LH) and rates of adnexal removal, as well as endometrial ablation. The total female population in two age groups (“younger age group,” 35 to 54 years, and “older age group,” 55 to 74 years) was obtained from the Australian Bureau of Statistics. Results. The rate of hysterectomy fell in both younger (61.7 versus 45.2/10000/year, p<0.005) and older (38.8 versus 33.2/10000/year, p<0.005) age groups. In both age groups there were significant decreases in the incidence rates for VH (by 53% in the younger age group and 29% in the older age group) and AH (by 53% and 55%, respectively). The rates of LH increased by 153% in the younger age group and 307% in the older age group. Overall, the proportion of hysterectomies involving adnexal removal increased (31% versus 65% in the younger age group, p<0.005; 44% versus 58% in the older age group, p<0.005). The increase occurred almost entirely after 2011. Conclusion. Hysterectomy is becoming less common, and both vaginal and abdominal hysterectomy are being replaced by laparoscopic hysterectomy. Removal of the adnexae is now more common in younger women.

scholarly journals Gender differences and trends of attitude toward smoking and diet behavior in population aged 25-64 years from 1988 to 2017

2021 ◽  
Vol 6 (6) ◽  
Keyword(s):  
Gender Differences ◽  
Gender Gap ◽  
Smoking Status ◽  
Age Groups ◽  
Older Age ◽  
Age Group ◽  
Female Population ◽  
Open Population ◽  
Younger Age ◽  
Diet Behavior

The aim: To determine gender differences in the dynamic of attitude toward smoking and diet behavior in an open population of 25-64 years over a long-term period - 29 years in Russia / Siberia (Novosibirsk). Methods: Within the framework of the screening in 1988-89 under the WHO MONICA-psychosocial (MOPSY) program (n=1676, 49.5% males, mean age 44.1±0.4 years), MOPSY screening in 1994-95 (n=1527, 43% males, mean age 44.85 ± 0.4 years), in 2003-2005 under the international project HAPIEE (n=1650, 34.9% males, mean age 54.25±0.2 years), in 2013-2016 (n=975, 43.8% males, mean age 34.5±0,4 years) and 2016-2017 (n=663, 41.3% years 51.95±0.32 years) within the framework of the budgetary theme No. AAAA-A17-117112850280-2, random representative samples of men and women in one of districts in Novosibirsk were examined. Smoking status and diet behavior assessed by questionnaire proposed by MONICA-MOPSY protocol. Results: The proportion of men who ever smoked was extremely high (80%) in the general population of 25-64 years and remained unchanged in the period 1988-2003 but began to decrease in 2013, first in the younger age groups and in 2016- 2017 in the older age groups. Despite the fact that there are significantly fewer female smokers, the proportion of female smokers began to increase in 1994, firstly in younger age groups and by 2003-05 in older age groups. Men of younger age groups more often than women tried unsuccessfully to give up a harmful habit. But in 2013-2016, the proportion of those who quit smoking increased to 25-29%. Men were 1.5-2 times more likely than women to report that they did not need to follow a diet. The number of those adhering to the diet, despite the increase in 2013-17, on average did not exceed 10% during 29 years of observation. Diet men were absent in the younger age group in 1988; but in the 45-54 age group their number reached a maximum of 17.1% in 2016-17, overtaking women in this indicator. The proportion of unsuccessful dietary attempts was higher among women in all age groups. The gender gap in the frequency of failed attempts to follow a diet has been growing since 2003. And in 2013-16, more than half of the male and 2/3 of the female population were unsuccessful in trying to adhere to the diet. Conclusions: There was a trend towards a decrease in smoking among men and, at the same time, a decrease in the proportion of women who never smoked in the period from 1994 to 2017. More than half of the male population and 2/3 of the female population were unsuccessful in trying to adhere to the diet, so the proportion of those following the diet did not exceed 10% during 29 years of observation.

scholarly journals Can traditional games be an option in increasing the physical activity of women following mastectomy?

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Małgorzata Bronikowska ◽  
Michał Bronikowski ◽  
Agata Glapa ◽  
Bartosz Prabucki
Keyword(s):  
Physical Activity ◽  
Older Women ◽  
Age Groups ◽  
Recovery Process ◽  
Age Group ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Younger Women ◽  
Younger Age ◽  
Ring Net

SummaryStudy aim: the purpose of the present study was to investigate the potential of traditional games as a method of increasing the physical activity (PA) of women following mastectomy. A cross-sectional survey during the 20th ONCO Games was conducted and the sample included data from women divided into two groups: up to 50 years old (n = 26) and over 50 years old (n = 86).Material and methods: PA was assessed using a questionnaire, and the number of steps taking during 30-minute periods was measured using pedometers during each of the games. Exertion was evaluated using Borg’s Scale.Results: there was no difference in levels of coherence between the age groups. The group of younger women were statistically more active (M = 3.34 days/week) than the older group (M = 2.77 days/week). All the games were evaluated to be of light intensity, with ringo perceived as being statistically more fatiguing in the over 50 age group. The highest number of steps was performed during the game of ring-net-ball (M = 1903 steps/30 min) in both age groups, with older women performing statistically more steps. Similar situations were observed in the cases of pétanque and speedminton. In ringo, the situation was reversed. The lowest number of steps was recorded in pétanque in the younger age group (M = 296 steps/30 min).Conclusion: this study indicates that in the rehabilitation and recovery process after mastectomy, traditional games could be a bridging link between exercising and sports as they provide not just activity but also a unique and valuable social context.

scholarly journals Comparison of anthropometric data quality in children aged 6-23 and 24-59 months: lessons from population-representative surveys from humanitarian settings

BMC Nutrition ◽  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Oleg Bilukha ◽  
Alexia Couture ◽  
Kelly McCain ◽  
Eva Leidman
Keyword(s):  
Data Quality ◽  
Age Groups ◽  
Older Age ◽  
Demographic And Health Surveys ◽  
Age Group ◽  
Anthropometric Data ◽  
Digit Preference ◽  
Anthropometric Indicators ◽  
Younger Age

Abstract Background Ensuring the quality of anthropometry data is paramount for getting accurate estimates of malnutrition prevalence among children aged 6–59 months in humanitarian and refugee settings. Previous reports based on data from Demographic and Health Surveys suggested systematic differences in anthropometric data quality between the younger and older groups of preschool children. Methods We analyzed 712 anthropometric population-representative field surveys from humanitarian and refugee settings conducted during 2011–2018. We examined and compared the quality of five anthropometric indicators in children aged 6–23 months and children aged 24–59 months: weight for height, weight for age, height for age, body mass index for age and mid-upper arm circumference (MUAC) for age. Using the z-score distribution of each indicator, we calculated the following parameters: standard deviation (SD), percentage of outliers, and measures of distribution normality. We also examined and compared the quality of height, weight, MUAC and age measurements using missing data and rounding criteria. Results Both SD and percentage of flags were significantly smaller on average in older than in younger age group for all five anthropometric indicators. Differences in SD between age groups did not change meaningfully depending on overall survey quality or on the quality of age ascertainment. Over 50% of surveys overall did not deviate significantly from normality. The percentage of non-normal surveys was higher in older than in the younger age groups. Digit preference score for weight, height and MUAC was slightly higher in younger age group, and for age slightly higher in the older age group. Children with reported exact date of birth (DOB) had much lower digit preference for age than those without exact DOB. SD, percentage flags and digit preference scores were positively correlated between the two age groups at the survey level, such as those surveys showing higher anthropometry data quality in younger age group also tended to show higher quality in older age group. Conclusions There should be an emphasis on increased rigor of training survey measurers in taking anthropometric measurements in the youngest children. Standardization test, a mandatory component of the pre-survey measurer training and evaluation, of 10 children should include at least 4–5 children below 2 years of age.

Higher Incidence of Chronic Myeloid Leukemia (CML) Among Blacks Compared to Whites in the Post-Imatinib Period (2002–2009) Corresponds with Worse Survival Observed within the Surveillance, Epidemiology and End Results 18 Registries

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3773-3773
Author(s):  
Adam Mendizabal ◽  
Paul H Levine
Keyword(s):  
Tyrosine Kinase ◽  
Incidence Rate ◽  
Kinase Inhibitors ◽  
Age Groups ◽  
Incidence Rates ◽  
Age At Diagnosis ◽  
Age Group ◽  
Risk Of Death ◽  
Younger Age ◽  
Adjusted Incidence

Abstract Abstract 3773 Background: Age at diagnosis of CML varies by race in the United States with median occurring around ages 54 and 63 among Black and White patients, respectively. The treatment paradigm shifted when Imatinib was approved in 2001 for treatment of CML. More recently, second generation tyrosine kinase inhibitors (TKI) have also been used for treatment of CML. Differences in outcomes by race have been previously reported prior to the TKI treatment period. We aimed to assess whether the earlier age at diagnosis resulted in differential trends in age-adjusted incidence rates and survival outcomes by race in the post-Imatinib treatment period. Methods: Data from the Surveillance, Epidemiology, and End Results (SEER) 18 Registries were extracted for diagnoses between 2002 and 2009 based on the assumption that cases diagnosed after 2002 would be treated with TKI's. CML was defined according to the International Classification of Diseases for Oncology 3rd edition code 9863 (CML-NOS) and 9875 (CML-Philadelphia Chromosome Positive). Cases diagnosed by autopsy or death certificate only were excluded. Incidence rates are expressed per 100,000 person-years and age-adjusted to the 2000 US Standard Population. Black/White incidence rate ratios (IRRBW) are shown with corresponding 95% confidence intervals (CI). Kaplan-Meier estimates of CML-specific survival (CPS) and overall survival (OS) were estimated at 5-years post-diagnosis with the event being time to CML-specific death or any death, respectively. Stratified Cox proportional hazards models were constructed to assess the impact of age and race on the risk of death expressed as a hazard ratio (HR). Results: Since 2002, 6,632 patients diagnosed with CML were reported to the SEER 18 registries including 5,829 White patients (87.9%) and 803 Black patients (12.1%) with 57% being male. The age-adjusted incidence rate for Blacks was 1.18 (95% CI, 1.10–1.27) per 100,000 and 1.12 (95% CI, 1.09–1.27) per 100,000 for Whites. The corresponding IRRBW was 1.06 (95% CI, 0.98– 1.14). When considering 20-year age-groups, Blacks had higher incidence rates in the 20–39 and 40–59 age groups; IRRBW of 1.26 (95% CI, 1.06–1.49; p=0.0073) and 1.23 (95% CI, 1.09–1.39; p=0.0007), respectively. No statistically significant differences in IRRBW were seen within the 0–19, 60–79 and 80+ age-groupings although Whites have higher non-significant incidence rates in the latter 2 age-groups. Differences in IRRBW prompted an assessment of survival to determine if the excess incidence observed in the younger age groups corresponded with a worse survival. CPS at 5-years was 85.5% (95% CI, 84.3–86.6). In univariate analysis, age was an important predictor of outcome (p<0.0001) with patients diagnosed after age 80 having the worse outcomes (OS: 58.3%), followed by patients diagnosed between 60 and 79 years (OS 84.7%), 0–19 years (OS: 87.1%), 40–59 years (OS: 90.2%), and 20–39 years (OS: 92.6%). When considering all age-groups, race was not a significant predictor of death (HR 0.91; 95% CI, 0.72–1.15). However, in a stratified analysis with 20-year age groups, Blacks had an increased risk of death as compared to Whites (Figure 1) in the 20–39 age group (HR: 2.94; 95% CI, 1.72–5.26; p<0.0001) and the 40–59 age group (HR: 1.67; 95% CI, 1.22–2.27; p=0.0069) while no differences were seen within the 0–19, 60–79 and 80+ age groups. Conclusions from OS models were similar to that of the CPS models. Conclusions: Through this analysis of population-based cancer registry data collected in the US between 2002 and 2009, we show that Blacks have a younger age at diagnosis with higher incidence rates observed in the 20–39 and 40–59 age-groups as compared to Whites. Both CPS and OS outcomes differed by race and age. Similar to the differences observed with the incidence rates, survival was worse in Blacks diagnosed within the 20–39 and 40–59 age-groups as compared to Whites. Although outcomes have globally improved in patients with CML since the advent of tyrosine kinase inhibitors, the persistence of incidence heterogeneity and poorer survival among Blacks warrants further attention. Access to care may be a possible reason for the differences observed but further studies are warranted to rule out biological differences which may be causing an earlier age at onset and poorer survival. Disclosures: No relevant conflicts of interest to declare.

Prevalence of high-risk human papillomavirus in uterine cervical lesions among older Japanese women.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 5084-5084
Author(s):  
Kazuhiro Takehara ◽  
Hiroko Nakamura ◽  
Osamu Samura ◽  
Tomoya Mizunoe ◽  
Akihisa Saito ◽  
...  
Keyword(s):  
High Risk ◽  
Age Groups ◽  
Hpv Infection ◽  
Japanese Women ◽  
Older Age ◽  
Age Group ◽  
Hpv 16 ◽  
Younger Age ◽  
Hpv Genotypes ◽  
High Risk Hpv

5084 Background: To estimate the prevalence and genotypes of high-risk human papillomavirus (HPV) among older Japanese women, using liquid-based cytology (LBC). Methods: ThinPrep LBC specimens were collected from 11,039 Japanese women (age range, 14-98 years). After classifying cytodiagnosis, specimens were analyzed for HPV DNA using the multiplex polymerase chain reaction method. Cervical smear specimens from 1,302 women showed positive results. To examine the prevalence of HPV in women defined as negative for intraepithelial lesion or malignancy (NILM), 2,563 samples were randomly selected from the remaining 9,737 women. Comparisons were made between women ≥50 years of age (older age group) and women <50 years of age (younger age group). Written informed consent was obtained from all patients. In this study, the high-risk HPV genotypes encountered were 16, 18, 31, 33, 35, 45, 52, and 58. Results: In the older age group with abnormal smear findings, HPV genotypes were detected in 49.7% (148/298), including high-risk HPV genotypes in 40.9% (122/298). In the younger age group with abnormal smear findings, HPV genotypes were detected in 71.7% (720/1004), including high-risk HPV genotypes in 58.1% (583/1,004). In NILM, HPV-positive rates were 4.5% (39/873) in the older age group and 11.8% (199/1,690) in the younger age group. In high-grade squamous intraepithelial lesion (HSIL) or more severe cytological findings, HPV genotypes of each group (older age group/younger age group) were detected in 61.7%/83.1%, and high-risk HPV genotypes were detected in 56.4%/74.7% of women. In positive cervical smears, HPV 16 was the most frequently detected (28.5%) in the younger age group, while HPV 52 (31.3%) and 58 (27.2%) were detected more frequently than HPV 16 (18.4%) in the older age group. Conclusions: In Japan, although HPV infection as a cause of abnormal cervical cytology is more frequent among younger age groups than in older age groups, high-risk HPV infection was more highly associated with older individuals (older age group/younger age group: abnormal smear findings, 82.4%/81.0%; HSIL or more severe cytological findings, 91.3%/89.9%). In older age groups, HPV 52 and 58 were more frequent than HPV 16.

scholarly journals The Effect of Serum Sodium on Survival in Patients Treated by Peritoneal Dialysis in the United Kingdom

2017 ◽  
Vol 37 (1) ◽  
pp. 70-77 ◽  
Author(s):  
Asmaa Al-Chidadi ◽  
Dorothea Nitsch ◽  
Andrew Davenport
Keyword(s):  
Peritoneal Dialysis ◽  
Serum Sodium ◽  
Cox Regression ◽  
Strong Association ◽  
Age Groups ◽  
Older Age ◽  
Age Group ◽  
Younger Age ◽  
Increased Risk ◽  
The Uk

Background Studies in hemodialysis patients suggest that hyponatremia is associated with increased mortality. However, results from peritoneal dialysis (PD) patients are discordant. We wished to establish whether there was an association between serum sodium and mortality risk in PD patients. Methods We analyzed 3,108 PD patients enrolled at day 90 of renal replacement therapy (RRT) into the UK Renal Registry (UKRR) data base with available serum sodium measurements (in 3 groups: ≤ 137, 138 - 140, ≥ 141 mmol/L) who were then followed up until death or the censoring date (31 December 2012). Analysis used Cox-regression with adjustment for age, sex, year of starting RRT, primary renal disease, serum albumin, smoking, and comorbidities. Results Unadjusted mortality rates were 118.6/1,000 person-years (py), 83.4/1,000 py, and 83.5/1,000 py for the lowest, middle, and highest serum sodium tertiles, respectively. After adjustment for covariates, patients in the lowest serum sodium group had almost 50% increased risk of dying compared with those with the highest serum sodium (hazard ratio [HR] 1.49, confidence interval [CI]:1.28 - 1.74), with a graded association between serum sodium and mortality. The association of serum sodium with mortality varied by age (p interaction < 0.001), and whilst this association attenuated after adjustment for confounding variables in the older age groups (55 - 64, and > 65 years), it remained in the younger age group of 18 - 54 years (HR 2.24 [1.36 – 3.70] in the lowest compared with the highest sodium tertile). Conclusions Lower serum sodium concentrations at the start of RRT in PD patients are associated with increased risk of mortality. Whilst this association may well be due to confounding in the older age groups, the persistent strong association between hyponatremia and mortality in the younger age group after adjustment for the available confounders suggests that prospective studies are required to assess whether active intervention to maintain serum sodium changes outcomes.

scholarly journals Time to Treatment Initiation Predicts Overall Survival in Hospitalized Acute Myeloid Leukemia (AML) Patients: A California Population-Based Study

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3982-3982
Author(s):  
Tatini Datta ◽  
Brian A Jonas ◽  
Aaron S Rosenberg ◽  
Qian Li ◽  
Ann M Brunson ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Overall Survival ◽  
Older Patients ◽  
De Novo ◽  
Age Groups ◽  
Population Based ◽  
Age Group ◽  
Younger Age ◽  
De Novo Aml ◽  
The Impact

Abstract Background: The impact of time from diagnosis to chemotherapy initiation (time to treatment, TTT) for AML has been a topic of ongoing debate. A prior study reported that TTT ≥5 days adversely impacted overall survival in younger (<60 years of age), but not older (≥60 years of age), patients. However, subsequent studies found either no effect of TTT on overall survival, regardless of age, or an adverse impact of TTT on overall survival for both younger (>10 days) and older patients (>5 days). Prior data also showed no impact of TTT on early mortality. Given these conflicting findings, consensus on the impact of TTT on survival is lacking and warrants further study. Using prospectively collected population-based data, we analyzed a large cohort of adult AML patients to examine the effect of TTT on overall survival. Methods: Using data from the California Cancer Registry and Patient Discharge Dataset between 1999-2012, patients≥15years diagnosed with de novo AML and who received inpatient treatment between 1-90 days from diagnosis were identified (n=5337). Multivariable logistic regression was used to determine factors associated with TTT>5 days vs 1-5 days with data presented as odds ratios (OR) and 95% confidence intervals (CI). The effect of TTT on overall and 60-day survival was estimated using multivariable Cox proportional hazards regression with TTT (1-5, 6-10,>10 days)considered as a time-dependent variable. Patients were stratified by age group (<60,≥60 years) for all analyses.Multivariable models accounted for age, race/ethnicity, sex, number of comorbidities, marital status, neighborhood socioeconomic status, health insurance type, treatment at National Cancer Institute designated (NCI) vs non-NCI designated facility, use ofleukapheresis, and year of diagnosis. Results: Of the 2659 patients <60 years of age, 61.0% were treated within 5 days and 79.7% within 10 days of diagnosis, compared to 43.8% and 65.0%, respectively, of the 2678 patients≥60 years of age. Patients≥60 years were more likely to have 3+ comorbidities compared to the younger age group (43.3% vs 25.9%, P<0.001). The likelihood of TTT>5 days increased with age in both younger and older patients. Across both age groups, patients requiringleukapheresis(age<60: OR 0.19, CI 0.10-0.34; age≥60: OR 0.23, CI 0.12-0.45), treated at a non-NCI (vs NCI) center (age<60: OR 0.62, CI 0.52-0.73; age≥60: OR 0.64, CI 0.52-0.78) and with 1-2 (vs 0) comorbidities (age<60: OR 0.81, CI 0.67-0.98; age≥60: OR 0.69, CI 0.54-0.88) or 3+ (vs 0) comorbidities (age<60: OR 0.77, CI 0.62-0.97; age≥60: OR 0.52, CI 0.41-0.66) had a lower odds of TTT>5 days. Younger (age<60) African Americans (vs non-Hispanic whites) had a higher odds of TTT >5 days (OR 1.43, CI 1.04-1.97). Delaying chemotherapy >10 days (vs 1-5 days) adversely impacted overall survival in both age groups (age<60: HR 1.26, CI 1.11-1.43; age≥60: HR 1.17, CI 1.06-1.28) (Table). However, TTT of 6-10 days (vs 1-5 days) affected overall survival in young (age<60: HR 1.15, CI 1.02-1.31), but not older patients. A TTT of 6-10 days (vs 1-5 days) adversely impacted 60-day survival in both age groups (age<60: HR 1.70, CI 1.24-2.33; age≥60: HR 1.27, CI 1.05-1.54); 60-day survival results were similar for a TTT >10 days (vs 1-5 days) (Table). Conclusions: In a large cohort of patients with de novo AML, TTT of up to 10 days did not have a negative impact on overall survival in patients over the age of 60. In younger patients (<age 60), TTT >5 days was associated with decreased overall survival. Delaying chemotherapy over 5 days adversely impacted 60-day survival in both age groups. Our observation that patients were more likely to have a shorter TTT at non-NCI designated hospitals may relate to delays associated with transfer to or clinical trial enrollment at NCI centers. Our results suggest that waiting to get results of ancillary testing, such as cytogenetic and molecular mutation analyses, in order to inform treatment decisions for AML patients, may be feasible in some patients with AML. In an era of rapidly evolving prognostic and treatment landscapes for AML, our findings may have implications for personalized therapy, including novel targeted therapies, and clinical trial design for patients withAML. Disclosures No relevant conflicts of interest to declare.

Migraine in The Elderly: A Review

Cephalalgia ◽  
2007 ◽  
Vol 27 (2) ◽  
pp. 97-106 ◽  
Author(s):  
J Haan ◽  
J Hollander ◽  
MD Ferrari
Keyword(s):  
Age Groups ◽  
The Elderly ◽  
Older Age ◽  
Medical Attention ◽  
Clinical Aspects ◽  
Age Group ◽  
Absolute Increase ◽  
Treatment Choices ◽  
Younger Age ◽  
The Absolute

Although migraine is less prevalent in older than in younger age groups, the absolute increase in the number of subjects in older age groups may lead to an increase in the total number of migraine patients. Consequently, more elderly migraine patients may seek medical attention. In this review, the epidemiology and clinical aspects of migraine in the age group of ≥60 years are summarized, with special attention to comorbidity. The review will focus on treatment choices in elderly migraine patients. These must be based on knowledge of mechanisms of physiological and pathological ageing.

scholarly journals Risk Factors of Childhood Anemia Explained: Evidence From the 2016 National Survey

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 809-809
Author(s):  
Tafere Belay ◽  
Micaela Wakefield ◽  
Kelly Pritchett ◽  
Susan Hawk ◽  
Nigatu Regassa
Keyword(s):  
Risk Factors ◽  
Age Groups ◽  
Water Source ◽  
Older Age ◽  
Age Group ◽  
Funding Sources ◽  
Piped Water ◽  
Younger Age ◽  
Childhood Anemia ◽  
Prevalence Of Anemia

Abstract Objectives The objective of this study was to examine the key risk factors related to anemia among children aged 6–24 months (younger age group) and 25–59 months (older age group). Methods We used the 2016 Ethiopian Demographic and Health Survey data, collected from 11,023 mothers with under five children. Ordered logistic regression modeling was used for assessing risk factors of childhood anemia. Results The results suggest that the prevalence of anemia is 72% in the younger and 49% in the older age groups. The risk factors for anemia in the younger age group are morbidity (OR = 0.5; CI: 0.32–0.82), having no piped water source (OR = 1.76; CI: 1.07, 3.01) and no toilet facility (OR = 1.60; CI: 1.07, 2.38). The key risk factors for anemia in the older age group were no micronutrient intake (OR = 1.69; CI: 1.23, 2.31), having a young mother (OR = 1.35; CI: 0.84, 1.91) and a non- working mother (OR = 1.50; CI: 1.15, 1.96). Moreover, no deworming, small birth weight and residing in a large household size were key risk factors in both age groups. Conclusions Strengthening both nutrition sensitive and nutrition specific interventions may help curb the consistently higher prevalence of anemia. Intervention strategies should consider the unique characteristics of regions and rural residences where the prevalence of anemia is above the national average. Funding Sources N/A.

scholarly journals Disparities in the prevalence and risk factors of anaemia among children aged 6–24 months and 25–59 months in Ethiopia

2020 ◽  
Vol 9 ◽  
Author(s):  
Tafere Gebreegziabher ◽  
Nigatu Regassa ◽  
Micaela Wakefield ◽  
Kelly Pritchett ◽  
Susan Hawk
Keyword(s):  
Risk Factors ◽  
Age Groups ◽  
Water Source ◽  
Older Age ◽  
Health Concern ◽  
Age Group ◽  
African Countries ◽  
Piped Water ◽  
Younger Age ◽  
Sub Saharan

Abstract Despite global efforts made to address anaemia, the prevalence remains high in most Sub-Saharan African countries. In Ethiopia, anaemia poses a very strong public health concern. The purpose of the present study was to examine the key risk factors related to anaemia among children aged 6–24 months (younger age group) and 25–59 months (older age group). We used the 2016 Ethiopian Demographic and Health Survey data, collected from 11 023 mothers with under five children. Ordered logistic regression modelling was used for assessing risk factors of childhood anaemia. The results suggest that the prevalence of anaemia was 72 % in the younger and 49 % in the older age groups. The risk factors for anaemia in the younger age group were morbidity (odds ratio (OR) 1⋅77; CI 1⋅21, 2⋅60), having no piped water source (OR 1⋅76; CI 1⋅07, 3⋅01) and no toilet facility (OR 1⋅60; CI 1⋅07, 2⋅38). The key risk factors for anaemia in the older age group were no micronutrient intake (OR 1⋅69; CI 1⋅23, 2⋅31), having a young mother (15–24 years old) (OR 1⋅35; CI 0⋅84, 1⋅91) and a non-working mother (OR 1⋅50; CI 1⋅15, 1⋅96). Anaemia also varied by region, place of residence and economic factors. Multiple factors contributed to the high prevalence of anaemia. Given the structural problem that the country has intervention strategies should consider the unique characteristics of regions and rural residences where the prevalence of anaemia is above the national average.

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