Body Mass Index and Mortality in a Very Large Cohort: Is It Really Healthier to Be Overweight?

Klatsky, Arthur L.; Zhang, Jie; Udaltsova, Natalia; Li, Yan; Tran, H. Nicole

doi:10.7812/tpp/16-142

Cited by 50 publications

(43 citation statements)

References 39 publications

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“…The 1999 and 2016 values were 5.93 (95% CI, 5.78–6.08) and 16.2 (95% CI, 15.98–16.42) for males, and 5.92 (95% CI, 5.78–6.06) and 12.84 (95% CI, 12.66–13.03) for females, respectively. Such contrasting gender-related divergences agree with current investigative clinical-research data, that show that men are more likely to accumulate visceral fat that is associated with major negative impacts on human health (Després et al, 2001; Flegal et al, 2007; Kennedy et al, 2018; Klatsky et al, 2017; Poulain et al, 2008; Wahba et al, 2007; Wang et al, 2007; Wyatt et al, 2006). …”

Section: Resultssupporting

confidence: 85%

“…Also, in around 2005, the age-adjusted obesity-related mortality rates for White men began to trend above the national average. Such a movement could epitomize previously recorded White gender-differentiated cultural norms (Abarca-Gómez et al, 2017; Cutler et al, 2003; Keller et al, 2018; Probst et al, 2004; Wyatt et al, 2006) and their psychological well-being perceptions with regards to weight (Guarneri, 2017; Jin et al, 2016; Kennedy et al, 2018; Klatsky et al, 2017; Wang et al, 2007). …”

Section: Resultsmentioning

confidence: 85%

“…Additionally, the 1999–2016 mortality rates for Black or African-American females is undeniably higher and is possibly parallel to existing cultural and/or economic benchmarks (Abarca-Gómez et al, 2017; Cutler et al, 2003; D’Souza et al, 2015; Kennedy et al, 2018; Klatzky et al, 2017; Wang et al, 2007), and the current dysfunction with access to healthcare resources (Chang et al, 2017; Jin & Yu, 2016; Keller et al, 2018; Preston et al, 2018; Rosenthal et al, 2017; Wyatt et al, 2006). Nonetheless, the 1999 to 2016 overweight and obesity-influenced mortality rate for Black or African-American females largely increased by 72.83%, which pales in comparison to the exponential 165.34% increase in the corresponding age-adjusted mortality rates containing ICD-10 overweight and obesity diagnostic codes, for Black or African-American males.…”

Section: Resultsmentioning

confidence: 99%

“…However, the 35–44 age-group did experience the highest 1999–2016 crude death rate increase (174.93%). The rises in ICD-10 coded deaths among the “middle and above” age groups are clearly being driven by declining health conditions associated with the burdens of being overweight and obese (Abarca-Gómez et al, 2017; Chang et al, 2017; Cutler et al, 2003; Després et al, 2001; Flegal et al, 2007; Jin & Yu, 2016; Kennedy et al, 2018; Klatzy et al, 2017; Poulain et al, 2008; Wahba et al, 2007; Wang et al, 2007; Wyatt et al, 2006). …”

Section: Resultsmentioning

confidence: 99%

“…Body-mass index (BMI) assessments are shown to be both, consequential (Klatsky et al, 2017; Preston et al, 2018), and as being less important (Chang et al, 2017; Kennedy et al, 2018). However, several extensive investigations have made clear that obesity does lead to persistent, long-standing, non-communicable health conditions that require sustained medical interventions (Després et al, 2001; Katz et al, 2000; Poulain et al, 2008; Wahba et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Data Talks: Obesity-Related Influences on US Mortality Rates

D’Souza

Bautista

Wentzien

2018

RHS

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Background: In the US, obesity is an epidemiologic challenge and the population fails to comprehend this complex public health issue. To evaluate underlying obesity-impact patterns on mortality rates, we data-mined the 1999–2016 Center for Disease Control WONDER database’s vital records. Methods: Adopting SAS programming, we scrutinized the mortality and population counts. Using ICD-10 diagnosis codes connected to overweight and obesity, we obtained the obesity-related crude and age-adjusted causes of death. To understand divergent and prevalence trends we compared and contrasted the tabulated obesity-influenced mortality rates with demographic information, gender, and age-related data. Key Results: From 1999 to 2016, the obesity-related age-adjusted mortality rates increased by 142%. The ICD-10 overweight and obesity-related death-certificate coding showed clear evidence that obesity factored in the male age-adjusted mortality rate increment to 173% and the corresponding female rate to 117%. It also disproportionately affected the nation-wide minority population death rates. Furthermore, excess weight distributions are coded as contributing features in the crude death rates for all decennial age-groups. Conclusions: The 1999–2016 data from ICD-10 death certificate coding for obesity-related conditions indicate that it is affecting all segments of the US population.

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Section: Resultssupporting

confidence: 85%

Section: Resultsmentioning

confidence: 85%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Data Talks: Obesity-Related Influences on US Mortality Rates

D’Souza

Bautista

Wentzien

2018

RHS

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Predicting the development of overweight and obesity in children between 2.5 and 8 years of age: The prospective ABIS study

Duchén

Jones

Faresjö

et al. 2020

Obesity Science & Practice

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Summary Background A relationship between overweight and obesity early in life and adolescence has been reported. The aim of this study was to track changes in overweight/obesity in children and to assess risk factors related to the persistence of overweight/obesity between 2.5 and 8 years. Study design Children who participated in all three follow‐ups at 2.5, 5 and 8 years in the prospective cohort All Children in Southeast Sweden (ABIS) (N = 2245, 52.1% boys and 47.9% girls) were classified as underweight, normal, overweight or with obesity, and changes within categories with age were related to risk factors for development of obesity in a multivariate analysis. Results The prevalence of overweight and obesity between 2.5 and 8 years was 11%–12% and 2%–3%, respectively. Children with normal weight remained in the same category over the years, 86% between 2.5 to 5 years and 87% between 5 and 8 years. Overweight and obesity at 5 and 8 years were positively related to each other (p < 0.0001 for both). High level of TV watching at 8 years and high maternal body mass index (BMI) when the child was 5 years were related to lower probability to a normalized ISO‐BMI between 5 and 8 years of age (p < 0.05 for both). Conclusion Children with ISO‐BMI 18.5 to 24.9 remain in that range during the first 8 years of life. Children with overweight early in life gain weight and develop obesity, and children with obesity tend to remain with obesity up to 8 years of age. TV watching and high maternal BMI were related to lower probability to weight normalization between 5 and 8 years of age. A multidisciplinary approach to promote dietary and physical activity changes in the entire family should be used for the treatment and prevention of overweight and obesity in early childhood.

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