scholarly journals Birth cohort differences in height, weight and body mass index among Indian women aged 15-30 years: Analyses based on three cross-sectional surveys

2021 ◽  
pp. 1-25
Author(s):  
Swapna Deshpande ◽  
Tarja I Kinnunen ◽  
Sangita Kulathinal
Keyword(s):  
Body Mass Index ◽  
Birth Cohort ◽  
Body Mass ◽  
Married Women ◽  
Birth Cohorts ◽  
Cross Sectional ◽  
Indian Women ◽  
Rate Of Increase ◽  
Increasing Trends ◽  
Reference Cohort

Abstract Objective: To explore long-term trends in height, weight and body mass index (BMI) across birth cohorts among Indian women aged 15-30. Design: Nationally representative cross-sectional surveys. Setting: Data from three National Family Health Surveys conducted in 1998-99, 2005-06 and 2015-16. Height and weight were modeled jointly, employing a multivariate regression model with age and birth cohorts as explanatory variables. The largest birth cohort (born 1988-92) was the reference cohort. Stratified analyses by place of residence and by marital status and dichotomized parity were also performed. Participants: 437,753 non-pregnant women aged 15-30 years. Results: The rate of increase in height, weight and BMI differed across birth cohorts. The rate of increase was much lower for height than weight, which was reflected in an increasing trend in BMI across all birth cohorts. In the stratified analyses, increase in height was found to be similar across urban and rural areas. Rural women born in the latest birth cohort (1998-2001) were lighter, whereas urban women were heavier compared to the reference cohort. A relatively larger increase in regression coefficients were observed among women born between 1978-82 compared to women born between 1973-77 when considering unmarried and nulliparous ever-married women and, one cohort later (1983-87 vs. 1978-82), among parous ever-married women. Conclusion: As the rate of increase was much larger for weight than for height, increasing trends in BMI were observed across the birth cohorts. Thus, cohort effects show an important contributory role in explaining increasing trends in BMI among young Indian women.

scholarly journals Do the associations of body mass index and waist circumference with back pain change as people age? 32 years of follow-up in a British birth cohort

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e039197
Author(s):  
Stella Muthuri ◽  
Rachel Cooper ◽  
Diana Kuh ◽  
Rebecca Hardy
Keyword(s):  
Body Mass Index ◽  
Back Pain ◽  
Waist Circumference ◽  
Birth Cohort ◽  
Body Mass ◽  
Smoking Status ◽  
Later Life ◽  
Birth Cohort Study ◽  
Occupational Class ◽  
Cross Sectional

ObjectivesTo investigate whether cross-sectional and longitudinal associations of body mass index (BMI) and waist circumference (WC) with back pain change with age and extend into later life.DesignBritish birth cohort study.SettingEngland, Scotland and Wales.ParticipantsUp to 3426 men and women from the MRC National Survey of Health and Development.Primary outcome measuresBack pain (sciatica, lumbago or recurring/severe backache all or most of the time) was self-reported during nurse interviews at ages 36, 43, 53 and 60–64 years and in a postal questionnaire using a body manikin at age 68.ResultsFindings from mixed-effects logistic regression models indicated that higher BMI was consistently associated with increased odds of back pain across adulthood. Sex-adjusted ORs of back pain per 1 SD increase in BMI were: 1.13 (95% CI: 1.01 to 1.26), 1.11 (95% CI: 1.00 to 1.23), 1.17 (95% CI: 1.05 to 1.30), 1.31 (95% CI: 1.15 to 1.48) and 1.08 (95% CI: 0.95 to 1.24) at ages 36, 43, 53, 60–64 and 68–69, respectively. Similar patterns of associations were observed for WC. These associations were maintained when potential confounders, including education, occupational class, height, cigarette smoking status, physical activity and symptoms of anxiety and depression were accounted for. BMI showed stronger associations than WC in models including both measures.ConclusionsThese findings demonstrate that higher BMI is a persistent risk factor for back pain across adulthood. This highlights the potential lifelong consequences on back pain of the rising prevalence of obesity within the population.

scholarly journals Lower hemoglobin levels associate with lower body mass index and healthier metabolic profile

2018 ◽  
Author(s):  
Juha Auvinen ◽  
Joona Tapio ◽  
Ville Karhunen ◽  
Johannes Kettunen ◽  
Raisa Serpi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Longitudinal Design ◽  
Hdl Cholesterol ◽  
Metabolic Parameters ◽  
Polygenic Risk Score ◽  
Metabolic Dysfunction ◽  
Birth Cohorts ◽  
Cross Sectional ◽  
Hypoxia Response

Hemoglobin (Hb) is the main carrier of oxygen. In general, high-end Hb levels within the normal range are considered beneficial for health1. However, activation of the hypoxia response has been shown to protect mice against metabolic dysfunction2-4. We used Hb levels as an indicator for oxygenation status and studied its association with >170 anthropometric and metabolic parameters in two Finnish birth cohorts both in cross-sectional and longitudinal design (max n = 7,175). Here we show a positive linear association between Hb levels and body mass index (BMI). Subjects with the lower Hb levels had better glucose tolerance, lower cholesterol and blood pressure levels, less adverse metabolite profiles and lower inflammatory load. Notably, these associations were not only mediated by the lower BMI, and the effect size of many of them increased with age. Polygenic risk score (PRS) analyses indicated shared genetic determinants between Hb levels and BMI, insulin, triglyceride and HDL cholesterol levels. Mendelian randomization (MR) analyses could not demonstrate causal relationships between Hb and metabolic parameters. However, manipulation of Hb levels by venesection in mice showed evidence for causal associations with body weight and metabolic parameters. Our findings suggest that lower-end normal Hb levels may be favorable for systemic metabolism involving mild chronic activation of the hypoxia response. Therefore modulation of Hb levels could be a novel strategy towards maintenance of metabolic health.

scholarly journals Trends in body mass index and blood pressure associations from 1989 to 2018: co-ordinated analysis of 145,399 participants

2020 ◽  
Author(s):  
David Bann ◽  
Shaun Scholes ◽  
Rebecca Hardy ◽  
Dara O’Neill
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Quantile Regression ◽  
Body Mass ◽  
Age Groups ◽  
High Body Mass Index ◽  
Obesity Prevalence ◽  
Birth Cohorts ◽  
Cross Sectional ◽  
Adult Age

BackgroundHigh body mass index (BMI) is an important contributor to higher blood pressure (BP) levels and its deleterious consequences. However, the strength of this association may be context-specific and differ across time due to increases in medication use or secular changes in body composition. Thus, we utilised two independent data sources to investigate if associations between BMI and systolic BP (SBP) in Britain changed from 1989-2018.MethodsWe used 23 repeated cross-sectional datasets—the Health Survey for England (HSE) at ≥25 years (1994–2018; N=126,742); and three British birth cohorts (born 1946, 1958, and 1970) with outcomes available at 43-46 years (N=18,657). Anthropometry and BP were measured using standard protocols. We used linear and quantile regression to investigate cross-sectional associations between BMI and SBP.ResultsIn HSE, associations were weaker in subsequent years, and this trend was most pronounced amongst older adults—after accounting for sex, treatment and education, the mean difference in SBP per 1 kg/m2 increase in BMI amongst adults ≥55 years was 0.75mmHg (95% CI: 0.60, 0.90) in 1994, 0.66mmHg (0.46, 0.85) in 2003, and 0.53mmHg (0.35, 0.71) in 2018. In cohorts, BMI and SBP associations were of similar magnitude in 1958 and 1970 cohorts and weaker in the 1946 cohort. Quantile regression analyses suggested that associations between BMI and SBP were present both below and above the hypertension threshold.ConclusionThe consequences of BMI may differ across time and by age —associations between BMI and SBP appear to have weakened in recent decades, particularly in older ages. Thus, at older ages, this weakening strength of association may partly offset the public health impacts of increases in obesity prevalence. However, BMI remains positively associated with SBP in all adult age groups, highlighting the potential adverse consequences of the ongoing obesity epidemic.

scholarly journals Inequality, Chronic Undernutrition, Maternity, and Diabetes Mellitus as the Determinant of Anemia among Ever-Married Women in Bangladesh.

2020 ◽  
Author(s):  
GM Islam
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Body Mass ◽  
Socioeconomic Inequality ◽  
Population Sample ◽  
Married Women ◽  
Cross Sectional ◽  
Proportional Odds Models ◽  
Chronic Undernutrition

Abstract Purpose: This study aims todelineate the association between household economic inequalities, along with other confounders, and anemia among ever married women in Bangladesh.Methods: A cross-sectional population sample comprising of 5920 ever-married women aged between 15–49 years were selected for this Analysis were performed through the application of proportional odds models.Results: The respondents from low and medium socioeconomic status (SES) households vs. richest households were 1.90 (95% CI, 1.65-2.17; p<.01) and 1.41 (95 % CI, 1.12-1.78; p<.01) times more likely to suffer from anemia. The likelihood of being anemic reduces for the lowand medium SES groups vs. high SES group when sociodemographic variables are added (OR,1.69, 95% CI, 1.43-1.99 and OR, 1.35, 95% CI, .07-1.70;p<0.01 respectively). After adding the variables of diabetes and maternity status, the association betweenhaving anemia belongingto low and medium SES vs. high SESbecomes weaker (OR,1.36, 95% CI,0.85-2.15 and OR,1.15, 95% CI, 0.6-2.19; p>.05 respectively). Moreover, the strength of the association between anemia and the subjects with pregnant and lactating vs. the subjectswithout these conditionswas reduced after factoring body mass index (BMI).Conclusions: BMI, pregnancy, and diabetes mellitus were observed to be significantly associated with anemia and the strength of the association was low with anemia and socioeconomic inequality.

KEJADIAN PENYAKIT HIPERTENSI DAN INDEKS MASSA TUBUH PADA PEREMPUAN YANG TINGGAL DI PEDESAAN DAN PERKOTAAN

2019 ◽  
pp. 127-136
Author(s):  
Venti Agustina
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Rural Women ◽  
Urban Areas ◽  
Stage I ◽  
Normal Body Mass Index ◽  
Cross Sectional ◽  
Normal Body ◽  
Stadium I

Hipertensiadalah penyebab kematian utama di Indonesia. Kematian akibat hipertensi lebih banyak terjadi di perkotaan dibandingkan di desa. Tingginya kejadian hipertensi dipengaruhi oleh faktor yang dapat dikontrol (obesitas,berat badan lebih, konsumsi garam berlebih,aktivitas fisik rendah, perokok, dan konsumsi alkohol) dan faktor yang tidak dapat dikontrol (genetik, usia, dan jenis kelamin). Penelitian bertujuan memberikan gambarandistribusi tekanan darah dan indeks massa tubuh (IMT) pendudukperempuan di kota maupun di desa.Desain penelitian adalah deskriptif kuatitatif dengan pendekatan cross sectional. Data primer didapatkan melalui pengukuran tekanan darah, tinggi badan dan berat badan. Penelitian dilakukan di Desa Kutowinangun Kidul, Kecamatan Tingkir,Salatiga yang mewakili penduduk perempuan di perkotaan dan Desa Batur, Kecamatan Getasan, Kabupaten Semarangyang mewakili penduduk perempuan pedesaan. Adapun jumlah sampel masing-masing 66 respondendan 72responden. Hasil penelitian menunjukkan bahwa kejadian penyakit hipertensi, resiko obese dan obese lebih didominasi oleh respondendi perkotaan dibandingkan di pedesaan dengan rentang usia di atas 46 tahun. Respondendi desa dengan indeks massa tubuh normal cenderung mengalami pre-hipertensi (8,3%) dan hipertensi stadium I (6,9%) sementararesponden dengan resiko obese dan obese cenderung mengalami hipertensi stadium I (1,4%).Respondendi kota dengan indeks massa tubuh normal cenderung mengalami pre hipertensi (6,06%), hipertensi stadium I (4,5%) dan II (7,5%). Responden dengan resiko obese cenderung mengalami hipertensi stadium I (4,5%), dan responden dengan obese I dan II cenderung mengalami pre-hipertensi (4,5%).   Hypertension is the leading cause of death in Indonesia. Deaths due to hypertension are more common in urban areas than in villages. The high incidence of hypertension is influenced by factors that can be controlled (obesity, overweight, excessive salt consumption, low physical activity, smokers, and alcohol consumption) and factors that cannot be controlled (genetic, age, and sex). The study aimed to provide an overview of blood pressure distribution and body mass index (BMI) of female residents in cities and villages. The study design was descriptive quantitative with a cross sectional approach. Primary data was obtained through measurements of blood pressure, height and weight. The study was conducted in Kutowinangun Kidul Village, Tingkir Subdistrict, Salatiga representing women in urban areas and Batur Village, Getasan Subdistrict, Semarang Regency, representing rural women. The number of samples was 66 respondents and 72 respondents respectively. The results showed that the incidence of hypertension, the risk of obese and obese was more dominated by respondents in urban areas than in rural areas with ages above 46 years. Respondents in villages with normal body mass index tended to experience pre-hypertension (8.3%) and stage I hypertension (6.9%) while respondents with obese and obese risk tended to experience stage I hypertension (1.4%). Respondents in cities with normal body mass index tended to experience pre-hypertension (6.06%), stage I hypertension (4.5%) and II (7.5%). Respondents with obese risk tended to experience stage I hypertension (4.5%), and respondents with obese I and II tended to experience pre-hypertension (4.5%).

scholarly journals BASAN index (Body mass index, Age, Sex, Arterial hypertension and Neck circumference) predicts severe apnoea in adults living at high altitude

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e044228
Author(s):  
Henry Oliveros ◽  
Rafael Lobelo ◽  
Luis Fernando Giraldo-Cadavid ◽  
Alirio Bastidas ◽  
Constanza Ballesteros ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Arterial Hypertension ◽  
High Altitude ◽  
Body Mass ◽  
Sleep Apnoea ◽  
Neck Circumference ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Derivation Cohort ◽  
Obstructive Sleep

ObjectivesObstructive sleep apnoea (OSA)/hypopnoea syndrome is associated with serious and major multiorgan morbidities, particularly in its most severe forms. However, no severe OSA screening instruments are available for high altitude residents that enable adequate identification and clinical prioritisation of such patients. We aimed at developing a severe OSA prediction tool based on the clinical characteristics and anthropometric measurements of a clinical referral cohort living at 2640 m.a.s.l.DesignCohort-nested cross-sectional study.SettingSleep laboratory for standard polysomnography (PSG) in Colombia.ParticipantsA predictive model was generated from 8718 participants referred to the PSG laboratory. Results were subsequently validated in a second cohort of 1898 participants.Primary outcomeTo identify clinical and anthropometric variables associated with severe OSA (>30 events/hour) and to include them in a binary logistic regression model.ResultsThe significant variables that were retained with the presence of severe OSA included Body mass index (BMI), Age, Sex, Arterial hypertension and Neck circumference (BASAN). The area under the receiver operating characteristic curvefor the BASAN index was 0.69 (95% CI: 0.68 to 0.70) in the derivation cohort and 0.67 (95% CI: 0.65 to 0.69) in the validation cohort, whereby a BASAN index ≥2 had a sensitivity of 95% and a specificity of 17% to detect severe OSA.ConclusionAn objectively based approach to screen for the presence of severe OSA, the BASAN index, exhibits favourable sensitivity characteristics that should enable its operational use as a screening tool in a Hispanic population with a clinical suspicion of OSA and living at high altitude.

scholarly journals Relationship between Emotional Intelligence, Sleep Quality and Body Mass Index in Emergency Nurses

Healthcare ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 607
Author(s):  
Noelia Miguez-Torres ◽  
Alejandro Martínez-Rodríguez ◽  
María Martínez-Olcina ◽  
Laura Miralles-Amorós ◽  
Cristina Reche-García
Keyword(s):  
Body Mass Index ◽  
Emotional Intelligence ◽  
Sleep Quality ◽  
Body Mass ◽  
Working Hours ◽  
Type I ◽  
Emotional States ◽  
Emergency Nurses ◽  
Cross Sectional ◽  
Lack Of Sleep

Nurses have long working hours with high psychological burdens. In addition, in the emergency department, nurses are required to quickly adapt emotionally. The aim of this study was to describe and relate emotional intelligence (EI) skills of emergency nurses, their body mass index (BMI) and sleep quality. For this purpose, a cross-sectional was carried out in which the perceived emotional intelligence test and the Pittsburgh sleep quality index were applied. Sixty-two emergency nurses (48 women and 14 men) participated. The results indicated that the majority of them present adequate levels of EI, with no differences by gender. Younger nurses showed a better ability to feel, express and understand emotional states than the older ones, while the ability to regulate emotional states occurred in the opposite way. Nurses who have been working for several years showed a better ability to regulate emotions than those with less experience. Those who were overweight grade II and obese type I expressed their feelings better, also the regulation of emotional states decreased as weight increased. Finally, it has been observed that the quality of sleep of emergency nurses is significantly altered, and that this lack of sleep may affect their ability to process emotions.

Sign in / Sign up

Export Citation Format

Share Document