Time trends (1993–1997) and seasonal variation in body mass index and waist circumference in the Netherlands

Visscher, Tommy L. S.; Seidell, Jacob C.

doi:10.1038/sj.ijo.0802761

Cited by 102 publications

(93 citation statements)

References 30 publications

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“…[1][2][3][4] Overweight and obesity have an enormous public health impact. For instance, they are linked to an increased risk of type 2 diabetes mellitus, coronary heart disease, stroke, hypertension, gallbladder disease, some forms of cancer, sleep apnoea, and osteoarthritis.…”

Section: Introductionmentioning

confidence: 99%

The relationship between overweight and obesity, and sick leave: a systematic review

et al. 2009

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Objective: To investigate the relationship between overweight and obesity and sick leave. Design: Systematic, qualitative review. Literature search: A search in diverse databases was performed. Studies were considered as relevant if they were longitudinal in design and investigated the relationship between overweight and obesity and sick leave. Data extraction: The methodological quality of the studies was evaluated with a quality criteria list. To draw conclusions, a bestevidence synthesis was applied.Results: Thirteen studies were included. Four out of seven found overweight to be a predictor of long-term sick leave, whereas the remaining three showed a positive trend, but did not observe significance. Of the five studies investigating the relationship between overweight and short-term sick leave, inconsistent results were shown. Seven out of eight studies investigating the relationship with long-term sick leave found obesity as a significant predictor of long-term sick leave. In contrast, there were inconsistent results between the five studies examining the relationship between obesity and short spells of sick leave. Conclusions: Although this review found inconclusive evidence for a relationship between overweight and sick leave, a clear trend was discerned in that overweight was a predictor of especially long spells (47 days) of sick leave. As regards obesity, there was strong evidence for a positive relationship with sick leave because of the consistent finding that obesity was a significant predictor of long-term sick leave.

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Section: Introductionmentioning

confidence: 99%

The relationship between overweight and obesity, and sick leave: a systematic review

et al. 2009

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“…Numerous studies from various populations have reported increasing body mass index (BMI) 1 and increasing waist circumference (WC) [2][3][4] during the past decades. Moreover, it seems that WC indicating abdominal obesity is increasing even more rapidly than BMI, [5][6][7] and increasing waistlines or abdominal obesity are observed not only among the obese but also among normal weight subjects.…”

Section: Introductionmentioning

confidence: 99%

“…20 However, little is known about socio-economic characteristics of population groups with increasing waistlines, but overall, there seems to be a greater increase in WC in women. 4,6,7 One study reported that there appears to be more consistent increase in WC with deprivation for both sexes, 5 whereas another showed the greatest increase in waistline among most highly educated women. 3 Data on socio-economic characteristics of those with abdominal obesity are thus limited and results are usually presented separately for BMI and WC.…”

Section: Introductionmentioning

confidence: 99%

Socio-economic status and abdominal obesity among Finnish adults from 1992 to 2002

et al. 2006

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Objective: To examine 10-year changes in waist circumference (WC) and identify socio-economic groups having higher WC than expected by their body mass index (BMI). Design: Population based cross-sectional surveys carried out in four regions of Finland in 1992Finland in , 1997Finland in and 2002. Subjects: A total of 9026 women and 8173 men, aged 25-64 years. Measurements: Waist circumference, BMI, socio-economic indicators (education, household income, employment status, marital status) and health behaviors (smoking, alcohol use, physical activity). Results: In 2002, women had about 2.7 cm and men about 1.0 cm higher WC than subjects 10 years previously. Waist circumference increased more than BMI among women, especially among unemployed women. Higher WC among nonemployed women was not explained by socio-economic indicators or health behaviors. Among men, smaller WC was associated with lower socio-economic status. However, associations partly disappeared after adjustment for health behaviors including physical activity at work. Conclusion: Socio-economic patterning of WC is divergent and gender-specific. More attention should be paid to increasing waistlines among women.

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“…Its broad dissemination is due to its capacity to express the energy reserves of individuals, ease to obtain, applicability, low correlation with height, and good correlation with body fat measures 6 . As people differ in relation to body composition and location of fat (android or gynecoid patterns), the relation between BMI and morbidity risk may be affected, considering that the main complications of obesity are associated to greater accumulation of abdominal fat, regardless of body weight 7 . Approximately 20% to 30% of the prevalence of hypertension may be due to overweight or obesity 8 .…”

Section: Introductionmentioning

confidence: 99%

Associação entre marcadores antropométricos de adiposidade corporal e hipertensão arterial na população adulta de Cuiabá, Mato Grosso

Barbosa

Scala

Ferreira

2009

Rev. bras. epidemiol.

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OBJETIVO: Avaliar a associação entre marcadores antropométricos de adiposidade corporal (índice de massa corporal e circunferência da cintura) e hipertensão arterial. MÉTODOS: Estudo de corte transversal, de base populacional, realizado no período de 2003 a 2004, com 1.298 indivíduos de 20 a 59 anos. Foram considerados hipertensos os indivíduos com pressão arterial > 140/90 mmHg ou em uso de medicação anti-hipertensiva. As associações entre os indicadores antropométricos e a hipertensão arterial foram analisadas por regressão de Poisson, ajustada por potenciais fatores de confusão (sexo, idade, escolaridade, tabagismo, consumo de bebida alcoólica e atividade física no lazer). A curva ROC foi utilizada para determinar o melhor ponto de corte do IMC para detecção da hipertensão arterial. RESULTADOS: A prevalência de hipertensão arterial foi de 28,3%, sendo 33,5% no sexo masculino e 23,5% no feminino. Após ajuste para o IMC e potenciais fatores de confusão, a circunferência da cintura perdeu associação com o desfecho avaliado, permanecendo apenas o IMC com poder de explicação para a hipertensão arterial (RP = 1,05, p = 0,001). O melhor ponto de corte para o IMC no sexo masculino foi de 25,6 Kg/m², e no sexo feminino 25,7 Kg/m². CONCLUSÕES: A associação observada entre a circunferência da cintura e a hipertensão arterial em muitos estudos pode estar relacionada à ausência de controle de potenciais fatores de confusão nas análises, bem como à não remoção do efeito da adiposidade total. Novas investigações devem ser conduzidas na população brasileira, a fim de se verificar as verdadeiras associações entre indicadores antropométricos e vários desfechos, estudando-se também os melhores pontos de corte desses indicadores.

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Time trends (1993–1997) and seasonal variation in body mass index and waist circumference in the Netherlands

Cited by 102 publications

References 30 publications

The relationship between overweight and obesity, and sick leave: a systematic review

The relationship between overweight and obesity, and sick leave: a systematic review

Socio-economic status and abdominal obesity among Finnish adults from 1992 to 2002

Associação entre marcadores antropométricos de adiposidade corporal e hipertensão arterial na população adulta de Cuiabá, Mato Grosso

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