Weight underestimation for adults in Beijing and its association with chronic disease awareness and weight management

Fang, Kejie; Li, Hang; Ma, Aijuan; Dong, Jing; Xie, Jin; Zhou, Ying; Qi, Kun; Wei, Yingqi; Li, Gang; Cao, Jie; Zhao, Dong

doi:10.1186/s12944-018-0873-7

Cited by 13 publications

(15 citation statements)

References 30 publications

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“…Some demographic factors seem to influence weight underestimation. In our study, underestimation increased slightly by age, and this is also observed in several other studies 4 38 39. Higher education, which is often considered a proxy for higher socioeconomic status, was protective of underestimation in the non-Sami with overweight/obesity, and this is in accordance with findings of previous studies 4 31 38 39.…”

Section: Discussionsupporting

confidence: 93%

“…In our study, underestimation increased slightly by age, and this is also observed in several other studies 4 38 39. Higher education, which is often considered a proxy for higher socioeconomic status, was protective of underestimation in the non-Sami with overweight/obesity, and this is in accordance with findings of previous studies 4 31 38 39. Hassan et al 38 argue that the variation concerning perception of overweight/obesity and education may be due to obesity rates in general being linked to lower education levels in high-income countries as opposed to high education in low-income/middle-income countries.…”

Section: Discussionsupporting

confidence: 92%

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Weight underestimation linked to anxiety and depression in a cross-sectional study of overweight individuals in a Sami and non-Sami Norwegian population: the SAMINOR Study

Kvaløy

Melhus²,

Silviken

et al. 2019

BMJ Open

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ObjectivesUnderestimation of overweight/obesity may prevent weight loss attempts, resulting in further weight gain and maintenance of overweight. Mental health benefits may nevertheless surpass negative consequences. Our main objective was to study the association between underestimation of overweight/obesity and symptoms of anxiety and depression in Sami and non-Sami populations.DesignPopulation-based cross-sectional study.SettingThe SAMINOR 2 Clinical Study with participants from 10 municipalities in Northern Norway enrolled between 2012 and 2014.ParticipantsThe study included 3266 adults of multiethnic rural origin with overweight/obesity (body mass index (BMI) ≥25 kg/m2) whereof 1384 underestimated their weight (42%).Primary and secondary outcome measuresPrimary outcome measure was symptoms of anxiety and depression and secondary outcome measures were BMI and the demographic variables: sex, age, education and marital status.ResultsA higher proportion of Sami men compared with non-Sami men were obese, and reported more symptoms of anxiety and depression. More men than women, and a higher proportion of Sami women compared with non-Sami women, underestimated their weight. Multivariable-adjusted analyses showed that women were less likely to underestimate their weight compared with men (OR 0.43, 95% CI 0.33 to 0.55 in Sami and OR 0.33, 95% CI 0.26 to 0.42 in non-Sami), higher BMI was protective against weight underestimation (OR 0.72, 95% CI 0.69 to 0.75 in Sami and OR 0.63, 95% CI 0.60 to 0.67 in non-Sami), slightly higher odds of weight underestimation were observed with increasing age in both ethnic groups (OR 1.03, 95% CI 1.01 to 1.05 in Sami and OR 1.02, 95% CI 1.00 to 1.03 in non-Sami), while higher education lowered the odds in non-Sami (OR 0.69, 95% CI 0.55 to 0.87). Weight underestimation was protectively associated with anxiety and depression in Sami men (OR 0.48, 95% CI 0.27 to 0.84) and in non-Sami women (OR 0.44, 95% CI 0.25 to 0.78) adjusted for age, BMI, education and marital status.ConclusionsIndependent of ethnicity, more men than women underestimated their weight. Underestimation of weight was protectively associated with anxiety and depression in Sami men and non-Sami women.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 92%

Weight underestimation linked to anxiety and depression in a cross-sectional study of overweight individuals in a Sami and non-Sami Norwegian population: the SAMINOR Study

Kvaløy

Melhus²,

Silviken

et al. 2019

BMJ Open

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“…15,16 An increasing amount of women are enjoying the Westernized diet and lifestyle. 16,17 The prevalence of obesity increased from 3.1% to 6.1% from 1992 to 2002 in China. 18 However, there is still no official recommendation of GWG for Chinese pregnant women, and recent data on maternal pre-pregnancy BMI and GWG are rare.…”

Section: Introductionmentioning

confidence: 99%

Effect of maternal weight gain according to the Institute of Medicine recommendations on pregnancy outcomes in a Chinese population

et al. 2019

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Objective This study aimed to analyze the effects of maternal weight on adverse pregnancy outcomes. Methods Data were retrospectively collected from a hospital in Wuhan, China. A total of 1593 pregnant women with singletons were included. Adverse outcomes during pregnancy, such as small for gestational age (SGA), large for gestational age (LGA), and hypertensive disorders in pregnancy (HDP) were analyzed. Results The risks of low birth weight, SGA, and preterm birth were significantly higher in the inadequate gestational weight gain (GWG) group compared with the adequate GWG group. GWG over the guidelines was related to a higher risk of macrosomia, LGA, cesarean section, and HDP than GWG within the guidelines. The risks of low birth weight (OR = 5.082), SGA (OR = 3.959), preterm birth (OR = 3.422), and gestational diabetes mellitus (OR = 1.784) were significantly higher in women with a normal pre-pregnancy body mass index (BMI) and inadequate GWG compared with women with a normal pre-pregnancy BMI and adequate GWG. The risks of macrosomia (OR = 3.654) and HDP (OR = 1.992) were increased in women with normal pre-pregnancy BMI and excessive GWG. Conclusion Women with an abnormal BMI and inappropriate GWG have an increased risk of adverse maternal and infant outcomes. Weight management during the perinatal period is required.

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“…This is even more likely to be the case, supported by our current study, given the signi cant underestimation of BMI in both the overweight (37.8%) and obese (88.6%) categories. A decline in ability to perceive BMI and/or weight status is observed worldwide [3,27,37] and Ireland appears to be no different. However, the trend has changed over time in Ireland.…”

Section: Discussionmentioning

confidence: 95%

“…There are fewer studies of weight perception conducted on adults. A simple Google Scholar search of titles for "weight perception" or "weight misperception" in adults, since 2015, yielded just eight relevant articles [15,[21][22][23][24][25][26][27]. There are no studies extant on BMI perception.…”

Section: Introductionmentioning

confidence: 99%

BMI Perception: A potential cheap alternative to objectively measured BMI?

Shiely

Millar

2019

Preprint

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Background Accurately measuring BMI in large epidemiological studies is problematic as objective measurements are expensive, so subjective methodologies must usually suffice. A number of subjective methodologies have been shown to be inaccurate, resulting in misclassification to a lower BMI category and a subsequent underestimation of obesity prevalence. The purpose of this study is to explore a new subjective method of measuring BMI, BMI perception. Methods A cross-sectional analysis of the Mitchelstown Cohort Rescreen study, a random sample of 1 354 men and women aged 51–77 years recruited from a single primary care centre. Data were collected using self-administered questionnaires. BMI perception was measured by asking “Do you think you are underweight, normal weight, overweight or obese?” Weight and height were also objectively measured. Results 79% of the cohort were overweight or obese: 86% of males, 69% of females, P<0.001. The sensitivity for correct BMI perception for normal weight, overweight and obese was 77%, 61% and 11% respectively. 59% of overweight/obese participants underestimated their BMI. In multivariable analysis, gender, higher education levels, being told by a health professional to lose weight, and being on a diet were significantly associated with correct BMI perception. There was a linear trend relationship between increasing BMI levels and correct perception of BMI; participants in the highest BMI quartile had an approximate eight-fold increased odds of correctly perceiving their BMI when compared to participants within the lower overweight/obese quartiles (OR=7.72, 95% CI: 4.59, 12.98). Conclusions BMI perception as a subjective measurement of BMI has the potential to be an important measurement tool in large epidemiological studies. Clinicians need to be aware of disparities between BMI perception at the higher and lower BMI levels among overweight/obese patients and encourage preventative action for those at the lower levels to avoid weight gain and thus reduce their all-cause mortality risk.

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Weight underestimation for adults in Beijing and its association with chronic disease awareness and weight management

Cited by 13 publications

References 30 publications

Weight underestimation linked to anxiety and depression in a cross-sectional study of overweight individuals in a Sami and non-Sami Norwegian population: the SAMINOR Study

Weight underestimation linked to anxiety and depression in a cross-sectional study of overweight individuals in a Sami and non-Sami Norwegian population: the SAMINOR Study

Effect of maternal weight gain according to the Institute of Medicine recommendations on pregnancy outcomes in a Chinese population

BMI Perception: A potential cheap alternative to objectively measured BMI?

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