ライフサイエンスコーパス: unhealthy

1 reached an all-time record 246 (rated "very unhealthy").

2 lthy and 5.9 m/s [5.8-5.9] for metabolically unhealthy).

3 ctively, found in some sufu samples could be unhealthy.

4 ntary lifestyle has generally been viewed as unhealthy.

5 se or risk factors for CKD and all others as unhealthy.

6 e healthy and 3274 (78%) in persons who were unhealthy.

7 (95% CI, -1.43 to -1.02) for women who were unhealthy.

8 pathologically relevant pathways within the 'unhealthy' adipose tissue milieu, triggering fibrosis an

9 hen pain increased over time, the markers of unhealthy ageing increased also.

10 Strong analgesia was associated with unhealthy ageing.

11 for identifying risk factors contributing to unhealthy aging in children.

12 ociated with a higher mean GFR compared with unhealthy aging.

13 ens, and acylcarnitines were associated with unhealthy AHEI components while factors composed of high

14 (n = 27 in the NHS and 33 in the HPFS) and "unhealthy" AHEI components (e.g., red meat, trans fat) a

15 oximately 65,000 people were exposed to very unhealthy air (daily average PM(2.5) >= 150.5 mug/m(3)).

16 y result in increased population exposure to unhealthy air pollutants.

17 persistent exposure of 69 million people to unhealthy air quality conditions.

18 nd that 10.3 million individuals experienced unhealthy air quality levels for more than 10 days due t

19 Results were stratified by unhealthy alcohol and illicit drug use.

20 Overall, 25.9% reported past-year unhealthy alcohol use and 28.4% reported past-year illic

21 Unhealthy alcohol use is a leading contributor to the gl

22 e, based in part on evidence of efficacy for unhealthy alcohol use.

23 completed an fMRI paradigm where they viewed unhealthy and healthier FF and nonfood commercials.

24 acquired during a food-viewing task in which unhealthy and healthy food pictures were presented.

25 dividuals with and without chronic diseases (unhealthy and healthy obesity).Dietary recalls from 11,7

26 le components were dichotomized into healthy/unhealthy and then combined into a total lifestyle score

27 ar (95% CI, -1.25 to -0.80) for men who were unhealthy, and by -0.92 ml/min per 1.73 m(2) per year (9

28 hey are also less likely to work if they are unhealthy, and could impose an economic burden on famili

29 occurrence between samples from healthy and unhealthy animals, as detected by DART MS.

30 ethodology was applied to liver samples from unhealthy animals.

31 The implications of combining healthy and unhealthy aspects of diet quality within an overall inde

32 Diet quality indexes combine the healthy and unhealthy aspects of diet within a single construct, but

33 ogenesis, and the ECM to both "healthy" and "unhealthy" AT expansion.

34 ver certain rewards has been associated with unhealthy behavioral choices.

35 isorders, including anxiety, depression, and unhealthy behaviors such as drinking alcohol and smoking

36 ay have adverse metabolic effects and induce unhealthy behaviors, but the role of stress in the devel

37 mass index, waist size, mean blood pressure, unhealthy behaviors, lipid profiles, and exercise freque

38 Discontinuing unhealthy behaviors, such as overeating or drug use, dep

39 er understand why patients choose healthy or unhealthy behaviors.

40 fs that healthy behaviors can compensate for unhealthy behaviors.

41 han to present gains, is an indicator of the unhealthy behaviors.

42 lifestyle risk score was created using five unhealthy behaviors: current smoking, high-risk alcohol

43 Decrease in or removal of this unhealthy behaviour could improve health substantially.

44 eate a culture and environment which promote unhealthy behaviour.

45 ies and guidelines to change preferences for unhealthy beverages may therefore be best directed at th

46 The Stopping Atherosclerosis and Treating Unhealthy Bone With Rosuvastatin in HIV (SATURN-HIV) tri

47 The Stopping Atherosclerosis and Treating Unhealthy Bone With Rosuvastatin in HIV (SATURN-HIV) tri

48 erlying aging-related Ca2+ dysregulation and unhealthy brain aging and pointing to FKBP1b as a potent

49 hesis that proposes a molecular mechanism of unhealthy brain aging and possibly, Alzheimer's disease.

50 People in the unhealthy categories of all 4 risk factors (sleep <7 hou

51 ay perturbations, in the cells, resulting in unhealthy cell development or diseases.

52 odel trained on nuclear morphology to remove unhealthy cells or imaging artifacts.

53 in drug delivery, the targeted treatment of unhealthy cells or tissues continues to remain a priorit

54 ent programs aimed at preventing or treating unhealthy child weight may need to be carefully scrutini

55 where foods of varying nutritional profiles (unhealthy compared with healthier) were available.

56 ildren had stronger activation while viewing unhealthy compared with healthy foods in areas involved

57 dorsolateral prefrontal cortex while viewing unhealthy compared with healthy foods.

58 central gyrus than did adults in response to unhealthy compared with healthy foods.

59 rrelation between BMI and neural response to unhealthy compared with healthy foods.

60 tal gyrus and the right calcarine sulcus for unhealthy compared with healthy foods.

61 Obesity is a risk factor for a spectrum of unhealthy conditions including systemic metabolic dyshom

62 e effects, further disrupting microbiomes of unhealthy corals and concentrating 80% of mortality in t

63 mbers of physically unhealthy days, mentally unhealthy days, and days with activity limitation, emplo

64 f-rated health and the numbers of physically unhealthy days, mentally unhealthy days, and days with a

65 terizes areas of heightened vulnerability to unhealthy developmental and aging processes, as exemplif

66 nt need to understand the mechanisms linking unhealthy diet and mental disorders.

67 incurred during adulthood (transitioning to unhealthy diet and mTBI) and predispose the brain to a P

68 s were included: smoking, heavy alcohol use, unhealthy diet and physical inactivity.

69 ferences in exposure to risk factors such as unhealthy diet and sedentary lifestyle; limited access t

70 and that life-style risk factors such as an unhealthy diet can accentuate the effects of GWI by impa

71 ratio [RR] = 1.47) and children with higher unhealthy diet scores (RR = 1.08) complied more, but ove

72 pearman rank correlation between healthy and unhealthy diet scores was positive (r = 0.09).

73 re healthy diet behaviors did not have lower unhealthy diet scores.

74 use; cigarette smoking, physical inactivity, unhealthy diet, and illicit drug use-according to CHC af

75 Unhealthy diet, lack of exercise, psychosocial stress, a

76 alcohol consumption, physical inactivity and unhealthy diet, may explain some of the regional heterog

77 Environmental inputs, including an unhealthy diet, mental stresses and toxin exposure, can

78 dyslipidemia, lack of physical activity, and unhealthy diet.

79 These findings suggest that reframing unhealthy dietary choices as incompatible with important

80 Advanced age and unhealthy dietary habits contribute to the increasing in

81 Our data suggest that unhealthy dietary habits such as higher intake of SSBs c

82 e other based on lesser consumption of seven unhealthy dietary items.

83 ltaTMAO-CHD relationship was strengthened by unhealthy dietary patterns (assessed by the Alternate He

84 The observation that unhealthy diets (those that are low in whole grains, fru

85 he two leading behavioural risk factors were unhealthy diets and tobacco smoking in 2015.

86 ation combined with sedentary lifestyles and unhealthy diets has contributed to an increasing inciden

87 chanisms through which apolipoprotein E4 and unhealthy diets impart risk for developing AD.

88 vioural risk factors, including tobacco use, unhealthy diets, and physical inactivity are prevalent,

89 tus and harmful use of alcohol, tobacco use, unhealthy diets, and physical inactivity within LLMICs.

90 that the benefits and harms of screening for unhealthy drug use are uncertain and that the balance of

91 nty that screening by asking questions about unhealthy drug use has moderate net benefit when service

92 lance of benefits and harms of screening for unhealthy drug use in adolescents.

93 commends screening by asking questions about unhealthy drug use in adults 18 years or older.

94 vention did not have efficacy for decreasing unhealthy drug use in primary care patients identified b

95 efit when services for accurate diagnosis of unhealthy drug use or drug use disorders, effective trea

96 specificity of screening tools for detecting unhealthy drug use ranged from 0.71 to 0.94 and 0.87 to

97 (Screening refers to asking questions about unhealthy drug use, not testing biological specimens.) (

98 Screening for unhealthy drug use: US Preventive Services Task Force re

99 ntiation between the healthy (symbiotic) and unhealthy (dysbiotic) microbial state has not yet been d

100 What can be done to reduce unhealthy eating among adolescents?

101 brain regions, which in turn lead to further unhealthy eating and obesity.

102 ms that link these factors and contribute to unhealthy eating are unclear.

103 ons (e.g., the nucleus accumbens [NAcc]) and unhealthy eating behaviors and outcomes; however, the me

104 strongly, which, in turn, may contribute to unhealthy eating behaviors later in life.

105 Unhealthy eating behaviors often develop in the setting

106 fied metabolites associated with healthy and unhealthy eating behaviors.

107 Evening types tend to have unhealthy eating habits and suffer from psychological pr

108 rising prevalence of overweight and obesity, unhealthy eating habits, and insufficient physical activ

109 patterns labeled "snacking," "infrequent and unhealthy eating," "avoidant eating," and "emotional and

110 The unhealthy ecostates of infected individuals progress tow

111 Due to its unhealthy effects for humans, its content is regulated b

112 Palm oil (PO) may be an unhealthy fat because of its high saturated fatty acid c

113 icate that obesity in the mother may lead to unhealthy feeding behavior in the offspring, correlating

114 ens, r = 0.29; caudate nucleus, r = 0.27) to unhealthy FF commercials predicted greater total food in

115 but interventions that reduce the ability of unhealthy FF commercials to capture attention could be b

116 (SMD) in food intake was calculated between unhealthy food advertising and control conditions.

117 ation between acute exposure to experimental unhealthy food advertising and food consumption.

118 that seeks to reduce children's exposure to unhealthy food advertising.

119 of poor nutritional quality, furthering the unhealthy food environments.

120 ality based on consumption of 21 healthy and unhealthy food groups.

121 f the built environment, including access to unhealthy food outlets, are hypothesized to contribute t

122 ing changes that result in greater access to unhealthy food outlets, is associated with T2D.

123 consumption of commodities (eg, tobacco and unhealthy food products) that increase cancer risk.

124 demand-type explanations for consumption of unhealthy food, government regulation versus industry se

125 reased physical activity, and consumption of unhealthy food.

126 its, vegetables, legumes, and nuts), curbing unhealthy foods (saturated fats, trans fats, refined car

127 tion to restrict the commercial marketing of unhealthy foods and beverages to children.We compared th

128 arning labels and marketing restrictions for unhealthy foods and beverages was implemented.

129 ods was inversely related to their intake of unhealthy foods and to determine whether this differed b

130 fMRI experiments, we first show that healthy/unhealthy foods elicit least/maximal reward response in

131 In children, unhealthy foods elicited stronger activation in the righ

132 Concern about the overconsumption of unhealthy foods is growing worldwide.

133 Unhealthy foods might elicit more attention both in chil

134 lthy foods was not inversely associated with unhealthy foods overall or within any subgroup.

135 pin regulations restricting the marketing of unhealthy foods to children.

136 additionally benefit from policies targeting unhealthy foods, such as sweet snacks, as a way of reduc

137 ctivation in inhibitory areas in response to unhealthy foods, which may mean they are more susceptibl

138 verse association between eating healthy and unhealthy foods.

139 more strongly than did adults in response to unhealthy foods.

140 hey consistently become more preferable than unhealthy foods.

141 rabilities, making it easier for them to eat unhealthy foods.

142 e their lower calorific value as compared to unhealthy foods.

143 ting, availability, and price of healthy and unhealthy foods; modeling health impacts of complex diet

144 Child consumption of core and discretionary (unhealthy) foods while in care was assessed via dietary

145 All metabolically unhealthy groups had a similarly elevated risk: normal w

146 An unhealthy gut microbial community may act as a barrier t

147 pping breakfast is considered a frequent and unhealthy habit associated with an increased cardiovascu

148 n of appetite but smokers tend to have other unhealthy habits relating to increased BMI.

149 festations (i.e., craving and persistence of unhealthy habits).

150 n overweight/obesity was combined with other unhealthy habits, the risk was even greater.

151 lthy and 5.9 m/s [5.6-6.1] for metabolically unhealthy) had comparable PWV to those who had normal FM

152 ticipants into 4 categories: very unhealthy, unhealthy, healthy, and very healthy.

153 Most dramatically, mice eating an otherwise unhealthy high-calorie, high-sugar Western diet with red

154 Z)-6-pentadecene, previously associated with unhealthy honey bee brood and/or brood targeted for hygi

155 diovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterpa

156 first tertile of C-peptide and metabolically unhealthy if above the first tertile.

157 assified participants as being metabolically unhealthy if they had three or more of the following ris

158 cient for discriminating between healthy and unhealthy individuals because the total DA concentration

159 e its functional capabilities in healthy and unhealthy individuals.

160 c-resistant microbes, and by contributing to unhealthy indoor environments.

161 holds that the portrayal of animal foods as unhealthy is not supported by the evidence and that a re

162 .1), but substantially poorer diets based on unhealthy items (-33.0, -37.8 to -28.3).

163 val (UI) 0.9 to 3.5), whereas diets based on unhealthy items worsened (-2.5, -3.3 to -1.7).

164 healthy items improved, while consumption of unhealthy items worsened across the world, with heteroge

165 t deterioration in dietary patterns based on unhealthy items.

166 ions can elevate western US surface ozone to unhealthy levels during spring.

167 ty that has pursued cleaner air for decades, unhealthy levels of ozone have decreased but remain stub

168 nacking and eating out as part of an overall unhealthy life-style, is associated with an increased pr

169 t health lifestyle profiles into two groups: unhealthy lifestyle (15.6%) and discordant (84.4%).

170 d metabolic syndrome in this age group, with unhealthy lifestyle also playing an independent role.

171 e the association between the combination of unhealthy lifestyle and risk of AF.

172 As combined unhealthy lifestyle behaviors had substantial impact on

173 The current trends of unhealthy lifestyle behaviors in underserved communities

174 In conclusion, combined unhealthy lifestyle behaviors were associated with subst

175 Disease and mortality burdens of unhealthy lifestyle behaviours are often reported.

176 thood are associated with decreased risk and unhealthy lifestyle changes are associated with increase

177 Although often attributed to unhealthy lifestyle choices or environmental factors, ob

178 A cluster of three unhealthy lifestyle components was associated with a 22%

179 Increased numbers of unhealthy lifestyle factors were associated with a highe

180 Amongst combinations of two unhealthy lifestyle factors, current smoking with heavy

181 nurses in the discordant group, those in the unhealthy lifestyle group had significantly higher proba

182 r analysis showed that classification in the unhealthy lifestyle group was a turnover risk factor.

183 Despite decades of effort, unhealthy lifestyle habits and ASCVD risk factor levels

184 Unhealthy lifestyle habits are a major contributor to co

185 iations were only partially modulated by the unhealthy lifestyle habits of individuals with lower SES

186 divided into 8 groups by the combination of unhealthy lifestyle including current smoking, heavy dri

187 After adjustment for the unhealthy lifestyle of populations and deprivation, the

188 nd likely related to the underlying illness, unhealthy lifestyle, and antipsychotic medications, whic

189 rs such as adverse socioeconomic conditions, unhealthy lifestyle, and lower mental wellbeing might re

190 levels were more likely to have low incomes, unhealthy lifestyle, higher triglycerides levels, other

191 ividuals at a high genetic risk who adopt an unhealthy lifestyle, those who adopt a healthy lifestyle

192 lobal problem extensively associated with an unhealthy lifestyle.

193 Having unhealthy lifestyles and 2 CFH risk alleles increased AM

194 lear if there is a corresponding increase in unhealthy lifestyles as rural areas adopt urban characte

195 Unhealthy lifestyles have been associated with increased

196 However, unhealthy lifestyles increased AMD risk regardless of AM

197 Urban living is associated with unhealthy lifestyles that can increase the risk of cardi

198 at risk for poor health outcomes because of unhealthy lifestyles, but few studies have developed tra

199 hat estimations of the calorie content of an unhealthy main meal food tend to be lower when the food

200 The rates of unhealthy maternal lifestyles during pregnancy associate

201 lts, 1 healthy ("fish and vegetables") and 2 unhealthy ("meat and chips" and "chocolate and sweets")

202 sensitivity and importantly does not induce unhealthy metabolic complications.

203 healthy obesity (MHO) and its transition to unhealthy metabolic status have been associated with ris

204 thway, which is essential for elimination of unhealthy mitochondria.

205 Second, an unhealthy motor-like system containing an unwanted beta-

206 he index year were considered "metabolically unhealthy" (MU), while those with none were considered "

207 The metabolically unhealthy non-obese (MUNO) subjects (hazard ratio [HR],

208 of dietary patterns with healthy obesity and unhealthy nonobesity were weaker, albeit significant.Con

209 weight (BMI >/= 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabo

210 r colorectal cancer risk among metabolically unhealthy/normal weight (odds ratio [OR] = 1.59, 95% CI

211 The existence of unhealthy NW phenotypes is supported by their increased

212 adipocytes in visceral fat of metabolically unhealthy obese (MUO) individuals are significantly larg

213 own to be lower in MHO than in metabolically unhealthy obese (MUO).

214 althy obese (MHO; n = 15), and metabolically unhealthy obese (MUO; n = 20).RESULTSAT pO2 progressivel

215 kely to meet these recommendations than were unhealthy obese adults (prevalence ratio: 1.26; 95% CI:

216 r total physical activity in healthy than in unhealthy obese adults is evident only when measured obj

217 had higher total physical activity than did unhealthy obese adults only when assessed by acceleromet

218 bolically healthy obese adults than in their unhealthy obese counterparts.

219 y of Th17 cells in tissue from metabolically unhealthy obese donors, revealed not only by the presenc

220 GA recommendations increased the OR of being unhealthy obese from 1.42 (95% CI: 1.02, 1.99) in quarti

221 DGAI quartile, albeit not as much as in the unhealthy obese group.

222 gorous physical activity between healthy and unhealthy obese groups by using both self-report and wri

223 ressive symptoms was higher in metabolically unhealthy obese individuals with two or more metabolic r

224 and omental adipocytes, and from healthy and unhealthy obese individuals, promoted comparable inflamm

225 sceral adipose tissue (VAT) of metabolically unhealthy obese patients.

226 interval [CI], 1.22-1.37) and metabolically unhealthy obese subjects (MUO; HR, 1.33; 95% CI, 1.26-1.

227 abnormalities than those with metabolically unhealthy obesity (MUO).

228 endations (quartile 4) had a 53% lower OR of unhealthy obesity (P-trend < 0.0001).

229 n is a primary risk factor for metabolically unhealthy obesity and related diseases.

230 Metabolically unhealthy obesity is associated with adipose tissue infl

231 Metabolically unhealthy obesity is associated with insulin resistance.

232 Metabolically unhealthy obesity was associated with higher depression

233 n implicated in development of metabolically unhealthy obesity, but the pathogenesis remains poorly c

234 ssociated with increasingly elevated ORs for unhealthy obesity, with individuals in quartile 4 having

235 it might drive development of metabolically unhealthy obesity.

236 gulated adipose remodelling in metabolically unhealthy obesity.

237 adaptive adipose expansion and metabolically unhealthy obesity.

238 molecular determinants of "healthy" versus "unhealthy" obesity remain ill-defined.

239 ely to engage in healthy behaviors and avoid unhealthy ones.

240 ersons engage in healthy behaviors and limit unhealthy ones.

241 ed both as absolute densities of healthy and unhealthy outlets, taken separately, and as a relative m

242 Stable metabolically unhealthy overweight or obesity (MUOO) (HR 2.22, 95% con

243 ight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI >/= 25 kg/m2).

244 = 1.59, 95% CI 1.10-2.28) and metabolically unhealthy/overweight (OR = 1.40, 95% CI 1.01-1.94) parti

245 ight individuals compared with metabolically unhealthy/overweight individuals (OR = 0.69, 95% CI 0.49

246 ants and 6.2 m/s [5.9-6.4] for metabolically unhealthy participants).

247 I: 1.4 to 2.2) for metabolically healthy and unhealthy participants, respectively.

248 I: 1.7 to 2.3) among obese and metabolically unhealthy participants.

249 the healthy pattern and 52.1 (18.6) for the unhealthy pattern, with weak intercorrelation (r=-0.08)

250 h, fruits and vegetables, and olive oil; an "unhealthy" pattern with high factor loadings for red and

251 For healthy and unhealthy people of both sexes, both the 97.5th and 2.5t

252 dividual functions, which conspire to create unhealthy phenotype-combinations.

253 ries of two papers, we discuss why slums are unhealthy places with especially high risks of infection

254 The unhealthy plant-based diet index was unrelated to any of

255 idated FFQ and an overall, a healthy, and an unhealthy plant-based diet index were derived.

256 eliably detect methyl salicylate released by unhealthy plants.

257 Current methods to monitor and mitigate unhealthy ponds are hindered by a lack of early indicato

258 ces, encouraging people to reassess existing unhealthy preferences at the point-of-purchase, and stim

259 ales with these concerns who use potentially unhealthy products to improve their physique are at incr

260 to dementia between 90 and 95 years; and an "unhealthy" profile with a peak probability of progressin

261 and salience (e.g., precuneus, r = -0.35) to unhealthy relative to healthier FF commercials predicted

262 At 45 years, in men with multimorbidity an unhealthy score was associated with a gain of 1.5 (95% c

263 .102) additional life years compared to very unhealthy score, though the association was not signific

264 IDL also downregulated the expression of unhealthy skin signature genes linked to the loss of epi

265 From 2001 to 2008, the frequency of unhealthy snack consumption decreased from 6.9 to 4.6 ti

266 chool fruit program reduces the frequency of unhealthy snack consumption, and to explore differences

267 e changes in the frequency of consumption of unhealthy snacks (soda, candy, and potato chips) from 20

268 nd vegetables, sugar-sweetened beverages and unhealthy snacks, screen-based sedentary behaviour, and

269 reated healthy (fruit, vegetables, milk) and unhealthy (SSBs, fast food, sweets, salty snacks) diet s

270 and transition from metabolically healthy to unhealthy status (HR 1.53, 1.34-1.75, p < 0.001) were as

271 Metabolically unhealthy status was associated with higher risk of all-

272 e participants transitioned to metabolically unhealthy status.

273 vascular disease compared with metabolically unhealthy subjects with obesity, but they still have a s

274 (NK) cells discriminate between healthy and unhealthy target cells through a balance of activating a

275 d that iodine-staining highlights tumors and unhealthy tissue.

276 exploit physical and biological features of unhealthy tissues that are not always homogenous across

277 In some cases, shifting the target from unhealthy tissues to the whole organ can represent an ad

278 reen = healthy, yellow = less healthy, red = unhealthy) to estimate the healthfulness (quality) of em

279 indings highlight the importance of avoiding unhealthy toileting behaviours (especially premature voi

280 Unhealthy toileting behaviours (premature voiding, delay

281 Unhealthy toileting behaviours exist among women, and lo

282 Unhealthy toileting behaviours were common among the fem

283 ed voiding, and straining to void), as these unhealthy toileting behaviours were significantly associ

284 grouped participants into 4 categories: very unhealthy, unhealthy, healthy, and very healthy.

285 Unhealthy use of alcohol and acute kidney injury are maj

286 8% of adolescents aged 12 to 17 years report unhealthy use of prescription or illegal drugs in the US

287 ion and has been attributed to averaging the unhealthy (vice) and healthy (virtue) foods leading to i

288 nking (P < .001 and P = .006, respectively), unhealthy weight control practices (P < .001, for both),

289 ntation of programmes to monitor and prevent unhealthy weight gain in children and adolescents are ur

290 new treatments and strategies for preventing unhealthy weight gain.

291 region responsivity did not predict initial unhealthy weight gain.

292 to be primarily a response of mothers to an unhealthy weight of their child rather than a cause of c

293 current smoking, high-risk alcohol drinking, unhealthy weight, physical inactivity, and insufficient/

294 Adolescent dieting, unhealthy weight-control behaviors, and binge eating.

295 dolescents who were more likely to diet, use unhealthy weight-control behaviors, and engage in binge

296 g behaviors were less likely to diet and use unhealthy weight-control behaviors.

297 nt children were less likely to diet and use unhealthy weight-control behaviors.

298 in to define metabolic health, metabolically unhealthy women (insulin q3-4) were at higher risk of br

299 reentry after pregnancy), the reproductively unhealthy worker effect (women with live births leave th

300 eration/privilege effect, the reproductively unhealthy worker effect, and the insecure pregnancy effe