scholarly journals The Relationship Between Body Mass Index and Pain Intensity Among Veterans with Musculoskeletal Disorders: Findings from the MSD Cohort Study

Pain Medicine ◽  
2020 ◽  
Vol 21 (10) ◽  
pp. 2563-2572 ◽  
Author(s):  
Diana M Higgins ◽  
Eugenia Buta ◽  
Alicia A Heapy ◽  
Mary A Driscoll ◽  
Robert D Kerns ◽  
...  

Abstract Objective To examine the relationship between body mass index (BMI) and pain intensity among veterans with musculoskeletal disorder diagnoses (MSDs; nontraumatic joint disorder; osteoarthritis; low back, back, and neck pain). Setting Administrative and electronic health record data from the Veterans Health Administration (VHA). Subjects A national cohort of US military veterans with MSDs in VHA care during 2001–2012 (N = 1,759,338). Methods These cross-sectional data were analyzed using hurdle negative binomial models of pain intensity as a function of BMI, adjusted for comorbidities and demographics. Results The sample had a mean age of 59.4, 95% were male, 77% were white/Non-Hispanic, 79% were overweight or obese, and 42% reported no pain at index MSD diagnosis. Overall, there was a J-shaped relationship between BMI and pain (nadir = 27 kg/m2), with the severely obese (BMI ≥ 40 kg/m2) being most likely to report any pain (OR vs normal weight = 1.23, 95% confidence interval = 1.21–1.26). The association between BMI and pain varied by MSD, with a stronger relationship in the osteoarthritis group and a less pronounced relationship in the back and low back pain groups. Conclusions There was a high prevalence of overweight/obesity among veterans with MSD. High levels of BMI (>27 kg/m2) were associated with increased odds of pain, most markedly among veterans with osteoarthritis.

2012 ◽  
Vol 52 (5) ◽  
pp. 267
Author(s):  
Rizky Adriansyah ◽  
Muhammad Ali ◽  
Hakimi Hakimi ◽  
Melda Deliana ◽  
Siska Mayasari Lubis

Background Evidence suggests that obesity may be related toearly onset of puberty in girls. However, few studies have found alink between body mass index (BMI) and puberty onset in boys.More study is needed to assess the relationship of BMI to penilelength and testicular volume.Objective To investigate the relationship ofBMI to penile lengthand testicular volume in adolescent boys.Methods A cross􀀿sectional study was carried out on adolescentboys aged 9 to 14 years in Secanggang District, Langkat Regency,North Sumatera Province in August 2009. Subjects' BMIs werecalculated by dividing body weight (BW) in kilograms by bodyheight (BH) in meters squared. Penile length (em) was measuredwith a spatula. We took the average of three measurements fromthe symphysis pubis to the tip of the glans penis. Testicular volume(mL) was estimated by palpation using an orchidometer. Pearson'scorrelation test (r) was used to assess the relationship of BMI topenile length and BMI to testicular volume.Resu lts There were 108 participants, consisting of 64primary school students and 44 junior high school students.Subjects' mean age was 11.7 (SO 1.62) years; mean BWwas 35.2 (SO 8.48) kg; mean BH was 1.4 (SO 0.11) m;mean BMI was 17.5 (SO 2.34) kg/m'; mean penile lengthwas 4.5 (SO 1.25) cm; and mean testicular volume was 3.6(SD 1.20) mL. We found no significant association betweenBMI and penile length (r􀀻-0.25, P􀀻0.06), nor betweenBMI and testicular volume (r􀀻-O.21; P􀀻O.09).Conclusion T here was no significant relationship ofBMI to penilelength nor BMI to testicular volume in adolescent boys.[Paediatr lndanes. 2012;52:267-71].


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Andrea Maugeri ◽  
Martina Barchitta ◽  
Roberta Magnano San Lio ◽  
Giuliana Favara ◽  
Claudia La Mastra ◽  
...  

Uncovering the relationship between body mass index (BMI) and DNA methylation could be useful to understand molecular mechanisms underpinning the effects of obesity. Here, we presented a cross-sectional study, aiming to evaluate the association of BMI and obesity with long interspersed nuclear elements (LINE-1) methylation, among 488 women from Catania, Italy. LINE-1 methylation was assessed in leukocyte DNA by pyrosequencing. We found a negative association between BMI and LINE-1 methylation level in both the unadjusted and adjusted linear regression models. Accordingly, obese women exhibited lower LINE-1 methylation level than their normal weight counterpart. This association was confirmed after adjusting for the effect of age, educational level, employment status, marital status, parity, menopause, and smoking status. Our findings were in line with previous evidence and encouraged further research to investigate the potential role of DNA methylation markers in the management of obesity.


2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Rebecca A. Seguin ◽  
Anju Aggarwal ◽  
Francoise Vermeylen ◽  
Adam Drewnowski

Introduction. Consumption of foods prepared away from home (FAFH) has grown steadily since the 1970s. We examined the relationship between FAFH and body mass index (BMI) and fruit and vegetable (FV) consumption.Methods. Frequency of FAFH, daily FV intake, height and weight, and sociodemographic data were collected using a telephone survey in 2008-2009. Participants included a representative sample of 2,001 adult men and women (mean age54±15years) residing in King County, WA, with an analytical sample of 1,570. Frequency of FAFH was categorized as 0-1, 2–4, or 5+ times per week. BMI was calculated from self-reported height and weight. We examined the relationship between FAFH with FV consumption and BMI using multivariate models.Results. Higher frequency of FAFH was associated with higher BMI, after adjusting for age, income, education, race, smoking, marital status, and physical activity (women:p=0.001; men:p=0.003). There was a negative association between frequency of FAFH and FV consumption. FAFH frequency was significantly (p<0.001) higher among males than females (43.1% versus 54.0% eating out 0-1 meal per week, resp.). Females reported eating significantly (p<0.001) more FV than males.Conclusion. Among adults, higher frequency of FAFH was related to higher BMI and less FV consumption.


PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e29580 ◽  
Author(s):  
Julie A. Pasco ◽  
Geoffrey C. Nicholson ◽  
Sharon L. Brennan ◽  
Mark A. Kotowicz

2017 ◽  
Vol 45 ◽  
pp. 72-80 ◽  
Author(s):  
J.-H. Lee ◽  
S.K. Park ◽  
J.-H. Ryoo ◽  
C.-M. Oh ◽  
J.-M. Choi ◽  
...  

AbstractBackground:Although a number of studies have examined the relationship between depression and obesity, it is still insufficient to establish the specific pattern of relationship between depression and body mass index (BMI) categories. Thus, this study was aimed to investigate the relationship between depression and BMI categories.Methods:A cross-sectional study was conducted for a cohort of 159,390 Korean based on Kangbuk Samsung Health Study (KSHS). Study participants were classified into 5 groups by Asian-specific cut-off of BMI (18.5, 23, 25 and 30 kg/m2). The presence of depression was determined by Center for Epidemiologic Studies-Depression scales (CES-D) = 16 and = 25. The adjusted odd ratios (ORs) for depression were evaluated by multiple logistic regression analysis, in which independent variable was 5 categories of BMI and dependent variable was depression. Subgroup analysis was conducted by gender and age.Results:When normal group was set as a reference, the adjusted ORs for depression formed U-shaped pattern of relationship with BMI categories [underweight: 1.31 (1.14–1.50), overweight: 0.94 (0.85–1.04), obese group: 1.01 (0.91–1.12), severe obese group: 1.28 (1.05–1.54)]. This pattern of relationship was more prominent in female and young age group than male and elderly subgroup. BMI level with the lowest likelihood of depression was 18.5 kg/m2 to 25 kg/m2 in women and 23 kg/m2 to 25 kg/m2 in men.Conclusions:There was a U-shaped relationship between depression and BMI categories. This finding suggests that both underweight and severe obesity are associated with the increased risk for depression.


2018 ◽  
Vol 2 (2) ◽  
pp. 246
Author(s):  
Amila Amila ◽  
Evarina Sembiring ◽  
Rinco Siregar

Introduction. The nurses who works at Intensive Care Unit (ICU) and Emergency Unit often suffering Low Back Pain (LBP) because they have high mobility and unergonomic condition. The purpose of this study were to identify the correlation among age, body mass index and working position of nurses with the low back pain who work in ICU and emergency unit at Sari Mutiara Indonesia general hospital. Methods. The data obtained was analyzed by analytic correlational with cross-sectional approach. The Sampel of this study was recruited with total sampling as 31 nurses. The data was analyzed by spearman correlation with α = 0.05. Result. The result of this study found that there was a signifi cant correlation between age with low back pain (r = 0.466 ; p <0.05). While body mass index and working position there was no signifi cantly correlation with low back pain ( r=0.195; p > 0.05 and r = - 0.172;p >0.05), respectively. Discussion. It can be recommended to occupational safety team to organize training the manner of working according to ergonomic standard, in addition to develope standar operating procedure for nurses in the hospital.Keywords : Risk factors, low back pain, nurse


2019 ◽  
Vol 35 (5) ◽  
Author(s):  
Resmiye Özdilek ◽  
Yılda Arzu Aba ◽  
Sena Dilek Aksoy ◽  
Bulat Aytek Şık ◽  
Yaşam Kemal Akpak

Objective: To investigate the adaptation of pregnant women to the recommended weight gain range according to body mass index (BMI) and to determine the factors affecting them. Methods: This cross-sectional study was performed in a university hospital’s obstetrics and gynecology unit (tertiary center) in Turkey. This study was conducted between March 2018 and August 2018 (6 months) in pregnant women. Pregnant women with chronic disease and receiving treatment during antenatal follow-up, with twin pregnancy, with a fetus with a congenital abnormality, and nutritional disturbance were excluded from the study. Eight hundred twelve pregnant women with normal antenatal follow-up and who volunteered to participate were included in the study. Results: The mean age of the participants was 27.66±5.05 years. The mean weight and BMI before pregnancy were near standard in all participants. The group with the highest rate of recommended weight gain according to BMI before pregnancy was the group with low weight pregnant women. The ideal weight gain rate in all groups was 32%. Conclusions: The groups with overweight and obese pregnant women according to BMI before pregnancy had the highest rates of weight gain, above the recommended limits. BMI before pregnancy directly affects weight gain during pregnancy and the importance of pre-pregnancy counseling and weight loss is emphasized once again. doi: https://doi.org/10.12669/pjms.35.5.133 How to cite this:Ozdilek R, Aba YA, Aksoy SD, Sik BA, Akpak YK. The relationship between body mass index before pregnancy and the amount of weight that should be gained during pregnancy: A cross-sectional study. Pak J Med Sci. 2019;35(5):---------.  doi: https://doi.org/10.12669/pjms.35.5.133 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


2018 ◽  
Vol 5 (2) ◽  
pp. 129-139
Author(s):  
Abdurahman Berbudi BL

Physical inactivity is an important risk factor for many causes of death, chronic morbidity, and disability. Poor physical activity is also a common world health problem and is a priority of the international health world. Facts are accompanied by clear evidence of an inactivity link to many increased risks of chronic diseases, including heart disease, stroke, and cancer. The purpose of this study was to analyze the relationship between body mass index, physical activity, and occupation in women 50-60 years in Pondok Kelapa Village, Duren Sawit sub-district, East Jakarta. The design of this study is cross-sectional with a total of 130 samples that have been selected by systematic random sampling. The subjects (n = 130) were interviewed using a questionnaire about daily activity in the previous week. Data were analyzed using spss program (Spearman Correlation And Mann Whitney Test). The results of this study indicate that the relationship between physical activity and body mass index is not significant (p = 0.493; p> 0.05; r = 0.61). And the relationship between work and Body Mass Index did not have a significant relationship (p> 0.05). Conclusion: physical activity should be measured and for further research not only interviewed using questionnaires. Keywords : Physical Activity, Body Mass Index, Occupation


2021 ◽  
Vol 1 (1) ◽  
pp. 103-114
Author(s):  
Rilyani Rilyani ◽  
Lidya Aryanti ◽  
Calvyn Reza Trisnantyas

ABSTRACT: EMPLOYMENT RELATIONSHIP AND WORKING SCHEDULE WITH BODY MASS INDEX IN YOSODADI PUSKESMAS WORKING AREA METRO CITY Introduction: The coverage of children under five in Lampung Province in 2019 was 79%, and this figure was above the target (76.18%). This figure illustrates that participation from the community to come to posyandu is still quite good in Lampung Province, while for Metro City the percentage of data is weighted at 78.8%. Data obtained through the Metro City Health Office in 2020 at the Yosodadi Health Center obtained as many as 656 toddlers aged 1-5 years who were weighingObjective: To find out the relationship between work and work schedule with the body mass index of toddlers aged 1-5 years.Methods: This type of research is quantitative. The design in this study uses an analytical survey design with a cross-sectional approach. The population is mothers and children aged 3-5 years, which is then calculated using the Slovin formula to obtain 197 children. Sampling technique purposive sampling Analysis of univariate and bivariate data using the chi-square test.Results: working mothers as many as 107 respondents (54.3%)., standard work schedule is 8 hours per day as many as 109 respondents (55.3%), BMI is not ideal, namely < 18.5 and > 22.9 as many as 103 respondents ( 52.3%. The results of statistical tests using the chi-square test obtained p-value = 0.000 (<α0.05), p-value = 0.085 (>α0.05).Conclusion: The results of statistical tests using the chi-square test obtained p-value = 0.000 (<α0.05) which means the relationship between mother's work and body mass index of toddlers aged 3-5. The p-value = 0.085 (>α0.05) means that there is no relationship between the mother's work schedule and the body mass index of children aged 3-5 years. It is recommended that parents who have toddlers with underweight and obese nutritional status should pay more attention to parenting patterns Keywords            :  Mother's Work Work Schedule, Toddler Body Mass Index  INTISARI: HUBUNGAN PEKERJAAN DAN JADWAL KERJA DENGAN INDEKS MASSA TUBUH BALITA DI WILAYAH KERJA PUSKESMAS YOSODADI KOTA METRO   Pendahuluan: Cakupan balita ditimbang di Provinsi lampung tahun 2019 sebesar 79 %, dimana angka ini diatas target (76,18%). Angka ini menggambarkan bahwa partisipasi dari masyarakat untuk datang ke posyandu masih cukup baik di Provinsi Lampung, sedangkan untuk Kota Metro persentase data ditimbang sebesar 78,8%. Data yang diperoleh melalui Dinkes Kota Metro tahun 2020 di Puskesmas Yosodadi didapat sebanyak 656 balita usia 1-5 tahun yang melakukan penimbangan berat badanTujuan: Diketahui hubungan pekerjaan dan jadwal kerja dengan  indeks massa tubuh balita usia 1-5 tahun.Metode: Jenis penelitian kuantitatif, Rancangan dalam penelitian ini menggunakan desain Survei Analitik dengan pendekatan cross sectional. Populasi adalah  ibu dan anak usia 3-5 tahun, yang kemudian dilakukan perhitungan sampel dengan rumus slovin didapat sebanyak 197 anak. Teknik sampling purposive sampling Analisa data univariat dan bivariat  menggunakan uji chi square.Hasil : ibu bekerja sebanyak 107 responden (54,3%)., jadwal kerja standar yaitu 8 jam per hari sebanyak 109 responden (55,3%), IMT tidak ideal yaitu < 18,5 dan > 22,9 sebanyak 103 responden (52,3%). Hasil uji statistik menggunakan uji chi square didapat nilai p-value = 0.000 (<α0.05), nilai p-value = 0.085 (>α0.05).Kesimpulan : Hasil uji statistik menggunakan uji chi square didapat nilai p-value = 0.000 (<α0.05) yang artinya ada hubungan pekerjaan ibu dengan  indeks massa tubuh balita usia 3-5. Nilai p-value = 0.085 (>α0.05) yang artinya tidak ada hubungan jadwal kerja ibu dengan  indeks massa tubuh balita usia 3-5 tahun. Disarankan kepada orang tua yang memiliki balita dengan status gizi kurus dan gemuk, harus lebih memperhatikan lagi mengenai pola asuh anak           Kata Kunci      : Pekerjaan Ibu Jadwal Kerja, Indeks Masa Tubuh Balita 


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