Dataset Information

Sexual Dysfunction in Women With Migraine and Overweight/Obesity: Relative Frequency and Association With Migraine Severity.

ABSTRACT: Previous studies suggest that migraine might be associated with female sexual dysfunction (FSD), although this association may be complicated by overweight/obesity. To disentangle relationships of migraine and obesity with FSD, we examined: (1) FSD rates in women who had migraine and obesity with a matched sample of women with obesity who were free of migraine and (2) associations between indices of migraine severity and FSD in a larger sample of participants with migraine and overweight/obesity, controlling for important confounders.Women with migraine and obesity seeking behavioral weight loss treatment to decrease headaches (n?=?37) and nonmigraine controls (n?=?37) with obesity seeking weight loss via bariatric surgery were matched on age (±5 years), body mass index (BMI; ±3 kg/m2 ), and reported sexual activity during the past month. Both groups completed the Female Sexual Function Index (FSFI), with a validated FSFI-total cutoff score used to define FSD. In participants with migraine and overweight/obesity (n?=?105), separate logistic regression models evaluated associations of migraine attack frequency, intensity, and duration with odds of having FSD, controlling for age, BMI, depression, and anxiety.On average, participants and matched controls had severe obesity (BMI?=?42.4?±?3.8 kg/m2 ; range?=?35-49.9) and were 37.3?±?7.2 years of age (range?=?22-50). FSD rate did not differ between migraine participants and controls (56.8% vs. 54.1%, P?=?.82). In the larger sample of participants with migraine and overweight/obesity (38.2?±?7.8 years of age; BMI?=?34.8?±?6.4 [range?=?25-50 kg/m2 ]; 8.0?±?4.3 migraine days/month, maximum pain intensity?=?5.9?±?1.4 on 0-10 scale; average attack duration?=?18.3?±?9.7 hours), FSD was not associated with attack frequency (P?=?.31), pain intensity (P?=?.92), or attack duration (P?=?.35) but was associated with more severe anxiety symptoms (Ps?

SUBMITTER: Bond DS

PROVIDER: S-EPMC5321868 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Sexual Dysfunction in Women With Migraine and Overweight/Obesity: Relative Frequency and Association With Migraine Severity.

Bond Dale S DS Pavlović Jelena M JM Lipton Richard B RB Graham Thomas J J Digre Kathleen B KB Roth Julie J Rathier Lucille L O'Leary Kevin C KC Evans E Whitney EW Wing Rena R RR

Headache 20161228 3

<h4>Background/objective</h4>Previous studies suggest that migraine might be associated with female sexual dysfunction (FSD), although this association may be complicated by overweight/obesity. To disentangle relationships of migraine and obesity with FSD, we examined: (1) FSD rates in women who had migraine and obesity with a matched sample of women with obesity who were free of migraine and (2) associations between indices of migraine severity and FSD in a larger sample of participants with mi ...[more]

PMID: 28028805

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Project description:BACKGROUND:Prior research suggests that undernutrition and enteric infections predispose children to stunted growth. Undernutrition and infections have been associated with limited access to healthy diets, lack of sanitation, and access barriers to healthcare - all associated with human rights. Stunting has also been documented to be a major determinant of subsequent obesity and non-communicable diseases. Short leg length relative to stature during adulthood seems to be a good proxy indicator tracking such barriers, and has been reported to be associated with adverse health effects during adulthood. Our objective was to examine the association between relative leg length (as measured by the leg length index, LLI) and measures of adiposity - based on body mass index (BMI) and waist circumference (WC) - in a population of recent Mexican immigrant women to the New York City Area. METHODS:The analysis was based on a cross-sectional survey of 200 Mexican immigrant women aged 18 to 70?years, whose data were collected between April and November 2008; although for purposes of the current study we restricted the sample to those aged 18 to 59?years. The dependent variables were BMI and WC, both transformed into categorical variables. The main independent variable was LLI, and other correlates were controlled for (i.e. age, education, having had children, characteristics of the community of origin, acculturation, chronic conditions, sedentary behaviors, access to fresh fruits and vegetables). Two probit models were estimated: the first one analyzed the effect of LLI on BMI categories and the second one estimated the effect of LLI on WC. RESULTS:The probit assessing the effect of LLI on overweight/obesity suggested that having a short LLI increased the probability of overweight/obesity by 21 percentage points. Results from the probit model estimating the effect of LLI on WC indicated that having a short LLI increased the probability of having abdominal adiposity by 39 percentage points. Both results were statistically significant at p?<?0.05. CONCLUSION:The study found an association between having shorter legs relative to one's height and increased risk of overweight/obesity and abdominal adiposity. Findings support the epidemiological evidence regarding the association between short leg length, early life socioeconomic conditions (i.e. limited access to basic rights), and increased risk of adverse health effects later in life.

Project description:BackgroundFor women of reproductive age, overweight and obesity are an established risk factor for several medical complications. To address the increasing rate of obesity in India through public health awareness programs, the association between common behaviors and overweight and obesity needs to be investigated. This study aims to determine whether there is any association between the frequency of television watching and overweight and obesity among women of reproductive age (15-49 years) in India.MethodsThis is a cross-sectional study that utilized data from the National Family Health Survey (NFHS-4), which utilized a nationally representative sample from all 29 states and 7 union territories of India. The survey itself followed a two-staged stratified random sampling technique. The primary outcome of interest was overweight (23.0 kg/m2 to <27.5 kg/m2) and obesity (?27.5 kg/m2), measured by using the Asian body mass index cut-off. The major explanatory variable was the frequency of television watching, measured in days per week. Sample weight of NFHS-4 was adjusted during the analysis. Multilevel ordered logistic regression was conducted to identify the factors associated with overweight and obesity. To show the strength of association, both the unadjusted Crude Odds Ratio (COR) and the Adjusted Odds Ratio (AOR) were reported with a 95% confidence interval (CI). A p-value<0.05 was considered statistically significant.ResultsThe analysis included weighted data from 644,006 Indian women of reproductive age (15-49 years). Among the respondents, 33.5% were overweight or obese (BMI ?23.0 kg/m2). The prevalence of overweight and obesity increased with age (p-value <0.0001) and almost half of the women aged 35-49 years were either overweight or obese (48.6%). The prevalence was significantly higher among those living in an urban area compared to a rural area (urban 46.5% vs. rural 26.5%; p-value <0.001). The prevalence of overweight and obesity increased with the frequency of watching television and was the highest among the individuals who reported watching television almost every day (p-value <0.0001). Women watching television almost every day had 24% (AOR: 1.24, 95% CI: 1.21-1.26; p-value <0.001) increased odds of being overweight and obese compared to their counterparts who never watched television.ConclusionsThis study found that the likelihood of being overweight and obese significantly increased with the frequency of watching television; likely due to physical inactivity during leisure time. Further studies should examine the physical activity and food habits of this target group. Public health promotion programs in India should raise awareness regarding the harmful effects of the sedentary lifestyle associated with watching television.

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Project description:Obesity is related to migraine. Maladaptive pain coping strategies (eg, pain catastrophizing) may provide insight into this relationship. In women with migraine and obesity, we cross-sectionally assessed: (1) prevalence of clinical catastrophizing; (2) characteristics of those with and without clinical catastrophizing; and (3) associations of catastrophizing with headache features.Obese women migraineurs seeking weight loss treatment (n?=?105) recorded daily migraine activity for 1 month via smartphone and completed the Pain Catastrophizing Scale (PCS). Clinical catastrophizing was defined as total PCS score ?30. The six-item Headache Impact Test (HIT-6), 12-item Allodynia Symptom Checklist (ASC-12), Headache Management Self-Efficacy Scale (HMSE), and assessments for depression (Centers for Epidemiologic Studies Depression Scale) and anxiety (seven-item Generalized Anxiety Disorder Scale) were also administered. Using PCS scores and body mass index (BMI) as predictors in linear regression, we modeled a series of headache features (ie, headache days, HIT-6, etc) as outcomes.One quarter (25.7%; 95% confidence interval [CI]?=?17.2-34.1%) of participants met criteria for clinical catastrophizing: they had higher BMI (37.9?±?7.5 vs 34.4?±?5.7?kg/m(2) , P?=?.035); longer migraine attack duration (160.8?±?145.0 vs 97.5?±?75.2 hours/month, P?=?.038); higher HIT-6 scores (68.7?±?4.6 vs 64.5?±?3.9, P?<?.001); more allodynia (7.0?±?4.1 vs 4.5?±?3.5, P?<?.003), depression (25.4?±?12.4 vs 13.3?±?9.2, P?<?.001), and anxiety (11.0?±?5.2 vs 5.6?±?4.1, P?<?.001); and lower self-efficacy (80.1?±?25.6 vs 104.7?±?18.9, P?<?.001) compared with participants without clinical catastrophizing. The odds of chronic migraine were nearly fourfold greater in those with (n?=?8/29.6%) vs without (n?=?8/10.3%) clinical catastrophizing (odds ratio?=?3.68; 95%CI?=?1.22-11.10, P?=?.021). In all participants, higher PCS scores were related to more migraine days (??=?0.331, P?=?.001), longer attack duration (??=?0.390, P?<?.001), higher HIT-6 scores (??=?0.425, P?<?.001), and lower HMSE scores (??=?-0.437, P?<?.001). Higher BMI, but not higher PCS scores, was related to more frequent attacks (??=?-0.203, P?=?.044).One quarter of participants with migraine and obesity reported clinical catastrophizing. These individuals had more frequent attacks/chronicity, longer attack duration, higher pain sensitivity, greater headache impact, and lower headache management self-efficacy. In all participants, PCS scores were related to several migraine characteristics, above and beyond the effects of obesity. Prospective studies are needed to determine sequence and mechanisms of relationships between catastrophizing, obesity, and migraine.

Dataset Information

Sexual Dysfunction in Women With Migraine and Overweight/Obesity: Relative Frequency and Association With Migraine Severity.

Publications

Sexual Dysfunction in Women With Migraine and Overweight/Obesity: Relative Frequency and Association With Migraine Severity.

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