Empirically derived latent classes of tobacco dependence syndromes observed in recent-onset tobacco smokers: Epidemiological evidence from a national probability sample survey

OBJECTIVE: To estimate the prevalence of inappropriate medications prescribed by office-based physicians for patients 65 years or older. DESIGN: A nationwide cross-sectional survey of office visits by the elderly. SETTING: The National Ambulatory Medical Care Survey (NAMCS) 1992, a national probability sample survey of office visits by ambulatory patients within the continental US. SUBJECTS: A national probability sample of patients 65 years or older visiting office-based physicians. National estimates are based on the National Center for Health Statistics weighting procedure for the NAMCS sample. MAIN OUTCOME MEASURES: Prevalence of 20 inappropriate medications that should be entirely avoided in the elderly, using criteria developed by a panel of national experts in geriatric medicine and geriatric pharmacology. RESULTS: In the US during 1992, an estimated 8.47 million (95% CI 7.66 million to 9.28 million) office visits by the elderly indicated prescribing of at least 1 of the 20 inappropriate medications. Approximately 7.75 million (95% CI 6.98 million to 8.52 million) visits by the elderly involved 1 inappropriate medication and 0.72 million (95% CI 0.51 million to 0.93 million) visits included 2 inappropriate medications. According to the NAMCS, office-based physicians prescribed at least 1 inappropriate medication to 7.58% of the elderly who received prescriptions. The most frequently prescribed inappropriate medications were propoxyphene, amitriptyline, dipyridamole, diazepam, and chlorpropamide. Elderly patients rarely received prescriptions from office-based physicians for drugs such as secobarbital, isoxsuprine, trimethobenzamide, and carisoprodol. Furthermore, office-based physicians did not prescribe cyclandelate, pentobarbital, or phenylbutazone for the elderly. CONCLUSIONS: The prescribing of inappropriate medications by office-based physicians raises concerns regarding the quality of care for the elderly in ambulatory settings. The crux of improving patient care in ambulatory settings rests with collaborative efforts between physicians and pharmacists.

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Male circumcision in Britain: findings from a national probability sample survey

Sexually Transmitted Infections ◽

10.1136/sti.79.6.499 ◽

2003 ◽

Vol 79 (6) ◽

pp. 499-500 ◽

Cited By ~ 42

Author(s):

S S Dave

Keyword(s):

Male Circumcision ◽

Sample Survey ◽

Probability Sample ◽

National Probability Sample

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The burden of genital warts in Slovenia: results from a national probability sample survey

Eurosurveillance ◽

10.2807/ese.13.45.19032-en ◽

2008 ◽

Vol 13 (45) ◽

Cited By ~ 2

Author(s):

I Klavs ◽

M Grgič-Vitek

Keyword(s):

Genital Warts ◽

Sample Survey ◽

Probability Sample ◽

Binary File ◽

National Probability Sample

Binary file ES_Abstracts_Final_ECDC.txt matches

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Patterns of sexual mixing with respect to social, health and sexual characteristics among heterosexual couples in England: analyses of probability sample survey data

Epidemiology and Infection ◽

10.1017/s0950268814002155 ◽

2014 ◽

Vol 143 (7) ◽

pp. 1500-1510 ◽

Cited By ~ 15

Author(s):

P. PRAH ◽

A. J. COPAS ◽

C. H. MERCER ◽

A. NARDONE ◽

A. M. JOHNSON

Keyword(s):

General Health ◽

Health Behaviours ◽

Demographic Characteristics ◽

Sample Survey ◽

Heterosexual Couples ◽

Men And Women ◽

Positive Correlation ◽

Probability Sample ◽

Living Together ◽

Sexual Characteristics

SUMMARYPatterns of sexual mixing are major determinants of sexually transmitted infection (STI) transmission, in particular the extent to which high-risk populations mix with low-risk populations. However, patterns of mixing in the general population are poorly understood. We analysed data from a national probability sample survey of households, the Health Survey for England 2010. A total of 943 heterosexual couples living together, where at least one partner was aged between 16–44 years, were included. We used correlation coefficients to measure the strength of similarities between partners with respect to demographic characteristics, general health, health behaviours and sexual history. Males were on average 2 years older than their female partners, although this age difference ranged from a median of 0 years in men aged 16–24 years to a median of 2 years in men aged 35–44 years. A positive correlation between partners was found for all demographic characteristics. With respect to general health and health behaviours, a strongly positive correlation was found between men and women in reporting alcohol consumption at ⩾3 days a week and smoking. Men typically reported greater numbers of sexual partners than their female partner, although men and women with more partners were more likely to mix with each other. We have been able to elucidate the patterns of sexual mixing between men and women living together in England. Mixing based on demographic characteristics was more assortative than sexual characteristics. These data can better inform mathematical models of STI transmission.

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