Self-reported general health and Body Mass Index: a U-shaped relationship?

Norman, Paul; Fraser, Lorna

doi:10.1016/j.puhe.2013.07.003

Cited by 10 publications

(10 citation statements)

References 51 publications

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“…Also, in the present study underweight men and women displayed elevated levels of mental distress comparable to that of obese and severely obese individuals. These results (Table 2) are in line with prior research showing a U-shaped relation between BMI and common mental disorders [3, 28–30] suggesting that both underweight and obese individuals experience more mental distress compared with their normal weight and overweight counterparts. Prior research has suggested several reasons for the elevated mental distress observed in obese individuals including stigmatization, social undesirability, and dissatisfaction with appearance.…”

Section: Discussionsupporting

confidence: 90%

Associations between obesity and mental distress in late midlife: results from a large Danish community sample

et al. 2016

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BackgroundTo examine associations of Body mass Index (BMI) and mental distress in late midlife in a large Danish community sample and to investigate the effect of socio-demographic factors.MethodsThe study sample comprised 3613 Danish men and 1673 women aged 49–63 years from the Copenhagen Ageing and Midlife Biobank (CAMB) with complete information on measured BMI, severity of mental symptoms assessed by the Symptom Check-List’ (SCL-90), and socio-demographic factors including sex, age, occupational social class, and educational duration. Linear and logistic regression were used to evaluate associations between BMI category and SCL-90.ResultsUnadjusted SCL-90 subscale scores differed significantly across BMI categories (p < 0.001) among both men and women with more mental distress in the underweight, obese and severely obese BMI categories except for the anxiety scale which was not associated with BMI category in women. In the adjusted analyses, all symptom scales remained significantly associated with BMI among men after adjusting for socio-demographic factors while only associations with somatization and depression scales remained significant for women.. When SCL-90 case status was applied as an outcome, significant unadjusted associations with BMI category were observed for somatization (p < 0.001), depression (p = 0.026) and the General Severity Index (p = 0.002) among men and somatization (p = 0.002) among women. Furthermore, somatization case-status was significantly predicted by BMI category (p < 0.001) in men after adjusting for socio-demographic factors.ConclusionResults indicate more mental distress among underweight, obese and severely obese men and women after adjusting for socio-demographic factors. Furthermore, obese men have higher risk of reporting clinically relevant symptoms of somatization independently of socio-demographic factors.

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Section: Discussionsupporting

confidence: 90%

Associations between obesity and mental distress in late midlife: results from a large Danish community sample

et al. 2016

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“…In addition, the BMI is a variable that interacts with several factors, including heredity, physical activity, inflammation, sleep and circadian rhythm, stress, and meals, and cannot be explained only by one factor. Many studies, however, either combine the underweight with the normal weight category or do not report or highlight results from the underweight group (13). In other words, both underweight and overweight categories are associated with a healthy lifestyle (26).…”

Section: Discussionmentioning

confidence: 99%

“…Since the connections between BMI and appearancebased social anxiety have only been mediated by body image dissatisfaction, and the model of these relationships emerged as the best-fitting model compared to a plausible alternative model, and the relationship between BMI and health-related behavior has been identified (13), changes in each variable may cause changes in other variables.…”

Section: Introductionmentioning

confidence: 99%

Effects of a Two-Month Training Period on Soldiers’ General Health, Social Physique Anxiety, and Body Mass Index

Dehghanizade

Najafipour

2016

J Arch Mil Med

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Background: Changes in the environment and living conditions are associated with changes in physical and cognitive functions. Objectives: The aim of this study was to examine the effects of a two-month military service period on soldiers' general health, social physique anxiety, and body mass index. Materials and Methods:The sample included all soldiers in Isfahan's army garrison training period. A 28-item questionnaire on general health, a social physique anxiety questionnaire (Hart et al. 1989) that measured the social physical anxiety and the ratio of weight to the height square calculating body mass index. Results:The results of the paired t-test showed that there were significant differences in pre-test and post-test scores on the general health aspects of anxiety and social physique anxiety and there were no significant differences in other aspects of soldiers' general health and body mass index. This suggests that the two-month training period affects only the variables of anxiety (anxiety, insomnia, and social physique anxiety). Conclusions:The findings showed that the military training period can significantly affect anxiety, but it cannot affect the health and body mass index.

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“…Prior studies exploring the association between BMI and SRH, some have found U shaped relationship between them [23,24], some studies have proved that BMI and SRH varies significantly across ages and sexes [25]. However, Chinese research in this field is insufficient.…”

Section: Introductionmentioning

confidence: 99%

Gender differences in the association between body mass index and self-rated health among patients with hypertension: evidence from Rizhao City, China

Feng¹,

Zhou²,

Zhao³

et al. 2020

Preprint

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Objective: This study is designed to examine the association between body mass index (BMI) and selfrelated health (SRH), and to explore gender differences in BMI-SRH association among hypertensive patients further.Methods: The status of SRH in 1219 hypertensive patients over 18 years old was analyzed by the multi-item self-rated health measurement scale (SRHMS). Chi-square test and t-test were used to analyze BMI and SRHMS status of hypertensive patients, the logistic regression analysis was used to explore the association between BMI and SRHMS of male and female separately after controlling for potential confounders, and to assess gender differences on the relationship between BMI and SRHMS.Results: The prevalence of underweight in hypertensive patients was 1.6%, normal weight was 33.0%, overweight was 45.9%, and obese was 19.5%. And the SRHMS of very good, good, fair, bad, and very bad were 20.2, 15.4, 29.1, 12.5, and 22.8%, respectively. After controlling potential confounders, we found that underweight, overweight and obese had a negative impact on female's SRHMS.Underweight had a negative impact on male, but obesity had a positive impact on male's SRHMS.Besides, this study did not find that overweight had a statistically significant effect on male SRHMS. Conclusion:In this cross-sectional study, we found a gender differences on association between BMI and SRHMS among hypertensive patients. Overweight and obesity had a negative impact on female's SRHMS after adjusting for other influential factors, but not for male. Gender differences should be considered when developing weight and hypertension management programs, especially in women.

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Self-reported general health and Body Mass Index: a U-shaped relationship?

Cited by 10 publications

References 51 publications

Associations between obesity and mental distress in late midlife: results from a large Danish community sample

Associations between obesity and mental distress in late midlife: results from a large Danish community sample

Effects of a Two-Month Training Period on Soldiers’ General Health, Social Physique Anxiety, and Body Mass Index

Gender differences in the association between body mass index and self-rated health among patients with hypertension: evidence from Rizhao City, China

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